Industry Xplore is a journal published by the Program Studi Teknik Industri that serves as a platform for the development of industrial engineering knowledge. It presents research and studies conducted by lecturers, researchers, and industry professionals. Established in 2016, Industry Xplore was initially published once a year, and since 2019, it has been published twice annually.
Lembaga Penelitian dan Pengabdian pada Masyarakat, Universitas Buana Perjuangan Karawang
DETERMINATION OF PRIORITY FOR SERVICE IMPROVEMENT USING THE SERVQUAL DIMENSIONS, IMPORTANCE PERFORMANCE ANALYSIS AND ANALYTICAL HIERARCHY PROCESS TO IMPROVE THE SERVICE QUALITY IN TERMINAL 3 SOEKARNO-HATTA AIRPORT
Indonesia, as an archipelagic country experiences air transportation growth with increasing demand for airport services which then develops into the need to provide more effective and efficient airport terminal services (Manataki & Zografos, 2009). To overcome the increase, the construction of Terminal 3 Ultimate was planned to accommodate the movement capacity of 25 million passengers (Pradana & Ahyudanari, 2017). Terminal 3 Soekarno-Hatta International Airport started to operate on August 9, 2016. Not long ago, there were several complaints from passengers and institutions related to facilities and infrastructure facilities in Terminal 3. The studies of operations and services provided by airports are currently being carried out from a very diverse perspective. Fodness & Murray (2007) conducted an empirical survey of passenger expectations regarding airport services. Lubbe, Douglas & Zambellis (2011) claim that the primary measure of airport operation assessment is the opinion of passengers, therefore it is very important to analyze passenger expectations regarding the quality of airport services. Passengers must define and evaluate services. Abstrak Penelitian ini mengevaluasi kualitas layanan Terminal 3 Bandara Internasional Soekarno-Hatta, Jakarta, dari perspektif penumpang maupun manajemen. Terminal 3, sebagai terminal terbaru dan terbesar, mulai beroperasi pada Agustus 2016 dan dirancang untuk menampung hingga 25 juta penumpang per tahun. Data dikumpulkan melalui kuesioner penumpang berdasarkan lima dimensi SERVQUAL) dan dianalisis menggunakan model kesenjangan SERVQUAL serta Importance-Performance Analysis (IPA). Selain itu, Analytical Hierarchy Process (AHP) digunakan untuk memperoleh perspektif manajemen dengan kriteria yang diambil dari dimensi SERVQUAL. Hasil penelitian menunjukkan adanya kesenjangan negatif secara konsisten antara harapan dan persepsi penumpang pada seluruh 30 atribut layanan, dengan rentang gap antara 0,34 hingga 1,2, yang mengindikasikan ketidakpuasan terhadap kualitas layanan. Hasil IPA menyoroti enam atribut yang membutuhkan perbaikan segera, sedangkan analisis AHP dari pihak manajemen menempatkan dimensi tangible sebagai prioritas utama untuk ditingkatkan. Penelitian ini berkontribusi pada pengukuran kualitas layanan dalam manajemen bandara dengan mengintegrasikan sudut pandang penumpang dan manajemen. Temuan penelitian ini memberikan panduan praktis bagi PT Angkasa Pura dalam mengidentifikasi area prioritas serta menyusun strategi peningkatan kepuasan penumpang dan kualitas layanan secara keseluruhan di Terminal 3.
ANALISIS PENENTUAN HARGA POKOK PRODUKSI UNTUK LAYANAN UMKM RUMAH AQIQAH KARAWANG DENGAN METODE JOB ORDER COSTING
Micro, Small, and Medium Enterprises (MSMEs) play an important role in the national economy, but many still face obstacles in determining the Cost of Goods Sold (COGS). Miscalculation of COGS can lead to inaccurate selling prices, thus reducing profit levels. This study aims to analyze the determination of COGS at the Karawang Aqiqah House MSME using the Job Order Costing method. The approach used is quantitative descriptive with case studies through interviews, observations, and recording of production costs. The results show that the Job Order Costing method produces a higher COGS than the company's calculation. In Package A, the company's COGS was recorded at Rp4,000,000, while the calculation using the Job Order Costing method reached Rp4,252,334 or an increase of 5.92% with a value per box of Rp42,523. In Package B, the company's COGS was Rp4,500,000, while the Job Order Costing method produced Rp4,652,334 or an increase of 3.27% with a value per box of Rp46,523. These findings demonstrate that the Job Order Costing method can provide more accurate and detailed cost information as a basis for determining selling prices, budget planning, and business development strategies. Abstrak Usaha Mikro, Kecil, dan Menengah (UMKM) berperan penting dalam perekonomian nasional, namun masih banyak yang menghadapi kendala dalam menentukan Harga Pokok Produksi (HPP). Kesalahan perhitungan HPP dapat menyebabkan penetapan harga jual yang kurang tepat sehingga menurunkan tingkat keuntungan. Penelitian ini bertujuan untuk menganalisis penentuan HPP pada UMKM Rumah Aqiqah Karawang dengan menggunakan metode Job Order Costing. Pendekatan yang digunakan adalah deskriptif kuantitatif dengan studi kasus melalui wawancara, observasi, serta pencatatan biaya produksi. Hasil penelitian menunjukkan bahwa metode Job Order Costing menghasilkan HPP lebih tinggi dibandingkan perhitungan versi perusahaan. Pada Paket A, HPP perusahaan tercatat sebesar Rp4.000.000, sedangkan perhitungan dengan metode Job Order Costing mencapai Rp4.252.334 atau meningkat 5,92% dengan nilai per box Rp42.523. Pada Paket B, HPP perusahaan sebesar Rp4.500.000, sementara metode Job Order Costing menghasilkan Rp4.652.334 atau meningkat 3,27% dengan nilai per box Rp46.523. Temuan ini membuktikan bahwa metode Job Order Costing mampu memberikan informasi biaya yang lebih akurat dan terperinci sebagai dasar dalam penetapan harga jual, perencanaan anggaran, serta strategi pengembangan usaha.
Harga Pokok Produksi, Job Order Costing, UMKM Rumah Aqiqah
TURNING TIME INTO VALUE: ENHANCING CUSTOMER EXPERIENCE THROUGH AVERAGE HANDLING TIME (AHT) OPTIMIZATION
This study highlights the importance of Average Handling Time (AHT) as a key operational efficiency metric in the Business Process Outsourcing (BPO) industry, particularly in customer service. The research aims to identify critical factors influencing AHT performance and to formulate improvement strategies based on systematic analysis. Using multiple linear regression methods, the study statistically analyzes the relationships between ticket characteristics, agent competencies, and AHT outcomes. Data were collected from 100 customer service agents through a 5-point Likert scale questionnaire and analyzed using SPSS software. The results showed significant improvement, with AHT decreasing from 92.38 minutes to 19.06 minutes (a 79.4% improvement). However, the handling duration remained 4.06 minutes above the target, indicating room for further enhancement. Agent competencies were found to have a substantial impact on AHT variation, with the model explaining 90.9% of performance differences. These findings led to strategic recommendations such as competency training, communication enhancement, time management optimization, technology integration, and improved ticket management, all aimed at boosting operational efficiency and customer satisfaction. Abstrak Penelitian ini menyoroti pentingnya Average Handling Time (AHT) sebagai metrik utama efisiensi operasional dalam industri Business Process Outsourcing (BPO), khususnya pada layanan pelanggan. Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor krusial yang memengaruhi kinerja AHT serta merumuskan strategi peningkatan berdasarkan analisis sistematis. Dengan menggunakan metode regresi linier berganda, studi ini menganalisis secara statistik hubungan antara karakteristik tiket, kompetensi agen, dan hasil AHT. Data dikumpulkan dari 100 agen layanan pelanggan melalui kuesioner berskala Likert 5 poin, dan dianalisis menggunakan perangkat lunak SPSS. Hasil penelitian menunjukkan adanya peningkatan signifikan, di mana AHT menurun dari 92,38 menit menjadi 19,06 menit (peningkatan sebesar 79,4%). Namun, durasi penanganan masih 4,06 menit di atas target, yang menunjukkan masih adanya ruang untuk perbaikan. Kompetensi agen terbukti memiliki pengaruh besar terhadap variasi AHT, dengan model menjelaskan 90,9% dari perbedaan kinerja. Temuan ini menghasilkan rekomendasi strategis seperti pelatihan kompetensi, peningkatan komunikasi, optimalisasi manajemen waktu, integrasi teknologi, dan pengelolaan tiket yang lebih baik, yang semuanya bertujuan untuk meningkatkan efisiensi operasional dan kepuasan pelanggan.
A REDESIGNED PLASTIC CAR SEAT LEVER: INTEGRATING USER NEEDS AND TECHNICAL SPECIFICATIONS THROUGH QUALITY FUNCTION DEPLOYMENT
The automotive industry frequently struggles to strike a balance between assembly efficiency and structural strength in plastic components. PT. XYZ, a seat manufacturer, encountered this issue with their D01 car seat lever, which had a robust strength of 22.1 kgf but a lengthy assembly time of 2.5 minutes. A subsequent redesign, model D42, improved efficiency by reducing assembly time to 1.8 minutes and consolidating two parts into one. However, this new design had a critical flaw, as its average tensile strength of 16.8 kgf fell short of the required 18.5 kgf standard, making it susceptible to failure. The objective of this study was to redesign the lever to meet the 18.5 kgf strength requirement, improve assembly efficiency, and satisfy user needs with the Quality Function Deployment (QFD) method. Data was gathered from 20 respondents, including car users, technicians, and engineers, via questionnaires. The analysis showed that users prioritized durability, ease of use, accessibility, and ergonomics. The new prototype, developed using QFD principles, successfully endured a tensile force of 22.5 kgf, exceeding the safety standard and fulfilling user expectations for functionality and comfort. Abstrak Industri otomotif sering kali berjuang untuk mencapai keseimbangan antara efisiensi perakitan dan kekuatan struktural pada komponen plastik. PT. XYZ, produsen kursi, menghadapi masalah ini dengan tuas kursi mobil D01 mereka, yang memiliki kekuatan yang kuat sebesar 22,1 kgf tetapi waktu perakitannya lama, yaitu 2,5 menit. Desain ulang berikutnya, model D42, meningkatkan efisiensi dengan mengurangi waktu perakitan menjadi 1,8 menit dan menggabungkan dua bagian menjadi satu. Namun, desain baru ini memiliki kelemahan kritis, karena kekuatan tarik rata-ratanya sebesar 16,8 kgf tidak memenuhi standar 18,5 kgf yang disyaratkan, sehingga rentan terhadap kegagalan. Tujuan dari penelitian ini adalah mendesain ulang tuas untuk memenuhi persyaratan kekuatan 18,5 kgf, meningkatkan efisiensi perakitan, dan memenuhi kebutuhan pengguna dengan metode Quality Function Deployment (QFD). Data dikumpulkan dari 20 responden, termasuk pengguna mobil, teknisi, dan insinyur, melalui kuesioner. Hasil analisis menunjukkan bahwa pengguna memprioritaskan daya tahan, kemudahan penggunaan, aksesibilitas, dan ergonomi. Prototipe baru yang dikembangkan dengan menggunakan prinsip-prinsip QFD ini berhasil menahan gaya tarik sebesar 22,5 kgf, melebihi standar keamanan dan memenuhi harapan pengguna akan fungsionalitas dan kenyamanan.
PEMANFAATAN SISTEM ARTIFICIAL INTELLIGENCE (AI) PADA INDUSTRI OTOMOTIF SECARA TINJAUAN LITERATUR SISTEMATIS
The use of Artificial Intelligence (AI) technology in the automotive industry is becoming increasingly relevant in the era of Industrial Revolution 4.0 because it can improve production efficiency, safety, and vehicle innovation. This study aims to systematically examine the application of AI in the automotive sector by highlighting trends, contributions, and challenges faced. The method employed is a Systematic Literature Review (SLR), which analyses more than 40 scientific articles published between 2020 and 2025. The results of the study indicate that AI plays a significant role in five main areas: intelligent manufacturing, autonomous vehicles, Advanced Driver Assistance Systems (ADAS), personalised user experience, and supply chain optimisation. The main contributions lie in increasing operational efficiency, reducing traffic accidents, and accelerating the development of automotive technology. However, significant challenges remain related to integration with legacy infrastructure, cybersecurity issues, and inadequate regulations. This study emphasises the importance of developing Explainable AI (XAI) to increase transparency and public trust in autonomous vehicles. In conclusion, this study provides a comprehensive overview of the potential and obstacles to AI utilisation in the automotive industry, and opens new directions for further research related to safer, more adaptive, and more sustainable AI integration. Abstrak Pemanfaatan teknologi Artificial Intelligence (AI) dalam industri otomotif menjadi semakin relevan di era Revolusi Industri 4.0 karena mampu meningkatkan efisiensi produksi, keselamatan, dan inovasi kendaraan. Penelitian ini bertujuan untuk mengkaji secara sistematis penerapan AI dalam sektor otomotif dengan menyoroti tren, kontribusi, serta tantangan yang dihadapi. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan menganalisis lebih dari 40 artikel ilmiah terbitan 2020–2025. Hasil kajian menunjukkan bahwa AI berperan penting dalam lima area utama: manufaktur cerdas, kendaraan otonom, Advanced Driver Assistance Systems (ADAS), personalisasi pengalaman pengguna, dan optimasi rantai pasok. Kontribusi utama terletak pada peningkatan efisiensi operasional, pengurangan kecelakaan lalu lintas, serta percepatan pengembangan teknologi otomotif. Namun, tantangan signifikan masih muncul terkait integrasi dengan infrastruktur lama, isu keamanan siber, dan regulasi yang belum memadai. Studi ini menekankan pentingnya pengembangan Explainable AI (XAI) untuk meningkatkan transparansi dan kepercayaan publik terhadap kendaraan otonom. Kesimpulannya, penelitian ini memberikan gambaran komprehensif mengenai potensi dan hambatan pemanfaatan AI dalam otomotif, serta membuka arah baru untuk penelitian lanjutan terkait integrasi AI yang lebih aman, adaptif, dan berkelanjutan.
RANCANG BANGUN APLIKASI WEB PETA KENDALI SPC MENGGUNAKAN JAVASCRIPT DAN PLOTLY
This research aims to develop a lightweight, free, and installation-free Statistical Process Control (SPC) web application to address the limitations of expensive commercial software such as Minitab and SPSS, which are often inaccessible to students and small-scale users. The application, built with JavaScript, HTML, and Plotly.js, focuses on providing essential control charts including xbar-R, i-chart, p-chart (constant and variable size), and np-chart. The design process follows simplified phases of the Software Development Life Cycle—requirement analysis, design, development, and testing—without complex architectures or high-end hardware requirements. Data input is provided via CSV files, while chart rendering and analysis are performed directly in the browser. Verification was conducted by comparing chart outputs with reference textbooks, showing consistent results. The developed application offers responsive visualization, user-friendly interaction, and accurate calculations, making it suitable for academic use and reducing dependency on costly commercial tools. The open-source nature of the project allows further enhancement by the SPC community.
IMPLEMENTASI INTERNET OF THINGS (IOT) DALAM PEMANTAUAN DAN OPTIMASI KINERJA PRODUKSI: KAJIAN SISTEMATIK LITERATUR
In the era of digital transformation and increasingly competitive industrial markets, the use of Internet of Things (IoT) technology has become increasingly relevant for improving the efficiency and effectiveness of production performance in the manufacturing sector. This study aims to systematically analyse various literature related to the implementation of IoT in monitoring and optimising the production process. The method used is a literature study with a qualitative-descriptive approach, which involves the identification, analysis, and synthesis of 30 recent literature sources. The study's results show that IoT makes a significant contribution to real-time data collection, predictive maintenance, improved resource efficiency, and data-driven decision-making. The findings also reveal that the integration of IoT with Big Data, Artificial Intelligence, and other digital systems strengthens the resilience and scalability of production systems. However, challenges such as start-up costs, integration of legacy technologies, HR readiness, and data security are still major obstacles. Therefore, IoT implementation needs to be strategically designed with the support of training, adequate digital infrastructure, and cross-sector collaboration. This study provides an important foundation for the development of more effective and sustainable IoT implementation policies and strategies in the manufacturing industry. Abstrak Dalam era transformasi digital dan persaingan industri yang semakin kompetitif, pemanfaatan teknologi Internet of Things (IoT) menjadi sangat relevan untuk meningkatkan efisiensi dan efektivitas kinerja produksi di sektor manufaktur. Kajian ini bertujuan untuk menganalisis secara sistematis berbagai literatur terkait implementasi IoT dalam pemantauan dan optimasi proses produksi. Metode yang digunakan adalah studi literatur dengan pendekatan kualitatif-deskriptif, yang melibatkan identifikasi, analisis, dan sintesis terhadap 30 sumber literatur terbaru. Hasil kajian menunjukkan bahwa IoT memberikan kontribusi signifikan dalam pengumpulan data real-time, pemeliharaan prediktif, serta peningkatan efisiensi sumber daya dan pengambilan keputusan berbasis data. Temuan juga mengungkapkan bahwa integrasi IoT dengan Big Data, Artificial Intelligence, dan sistem digital lainnya memperkuat ketahanan dan skalabilitas sistem produksi. Namun, tantangan seperti biaya awal, integrasi teknologi lama, kesiapan SDM, dan keamanan data masih menjadi hambatan utama. Oleh karena itu, implementasi IoT perlu dirancang secara strategis dengan dukungan pelatihan, infrastruktur digital yang memadai, serta kolaborasi lintas sektor. Kajian ini memberikan landasan penting bagi pengembangan kebijakan dan strategi implementasi IoT yang lebih efektif dan berkelanjutan di industri manufaktur.
Sistem Klasifikasi ABC Untuk Menentukan Persediaan Kritis Pada Perusahaan Otomotif Spare Part Sepeda Motor
Penelitian ini bertujuan untuk mengidentifikasi persediaan spare part kritis di perusahaan otomotif spare part sepeda motor, sebuah perusahaan manufaktur sepeda motor terkemuka di Indonesia yang berlokasi di Karawang. Penelitian ini menggunakan pendekatan studi kasus dan pengumpulan data melalui wawancara manajer produksi dan admin persediaan. Data juga dikumpulkan melalui analisis dokumen dan laporan keuangan terkait biaya persediaan. Hasil penelitian menunjukkan bahwa biaya persediaan di perusahaan otomotif spare part sepeda motor terdiri dari beberapa komponen, termasuk biaya pembelian part-part dari pemasok, biaya penyimpanan, biaya pemesanan, dan risiko persediaan yang tidak terjual atau kadaluwarsa. Temuan pada penelitian ini adalah bahwa biaya persediaan merupakan faktor penting yang perlu diperhatikan dalam manajemen persediaan di perusahaan otomotif spare part sepeda motor. Berdasarkan sistem klasifikasi ABC pada persediaan spare part didapatkan hasil bahwa terdapat tiga spare part yang berada pada kelas A yaitu Muffler Assy Exhaust, Wire & Guide Harness Assy A , Wire & Guide Harness Assy B. Persediaan yang berada di kelas A dipertimbangkjan sebagai persediaan kritis yang harus dipantau dengan ketat. Perusahaan otomotif spare part sepeda motor perlu mengelola persediaan dengan baik untuk meningkatkan efisiensi. Selain itu, analisis permintaan secara teratur juga dianjurkan untuk memahami pola permintaan part-part dan mengoptimalkan tingkat persediaan.
biaya persediaan, efisiensi biaya, spare part sepeda motor, sistem klasifikasi ABC
OPTIMALISASI PROSES PAINTING DI PT. UNI ALLOYINDO PRIMA MELALUI MINIMASI CACAT PRODUK DENGAN METODE SIX SIGMA
PT Uni Alloyindo Prima is one of the industrial companies engaged in the manufacture of four-wheeled wheels with an average defect percentage of 1.5% where the company has a defect standard of 1%. The purpose of this study is to identify the factors that cause defects in the painting production process and determine how to minimize the occurrence of defects. In this study the method used is Six Sigma, the Six Sigma method has five main steps, namely define, measure, analyze, improve and control. The results showed that the dominant root causes of porosity defects in the painting production process are lack of checking on raw materials (materials), Pin-Hole defects are less careful when doing work (humans), lathe defects and grebes lack of maintenance on machines or work tools. After calculating the Sigma value after the improvement process is carried out, it reaches 4.63 from the one before the improvement is only 4.43.
ANALISIS KELUHAN MUSCULOSKELETAL DISORDERS (MSDs) PADA OPERATOR SOLDERING DI PT OMRON MANUFACTURING INDONESIA
Sumber daya manusia merupakan kunci untuk menentukan perkembangan perusahaan. Masih banyak perusahaan dalam proses produksinya tidak didukung oleh metode yang standar dan ergonomis. PT Omron Manufacturing of Indonesia adalah perusahaan yang bergerak dibidang elektronik. Salah satu proses produksi pada PT Omron Manufacturing of Indonesia adalah proses soldering. Masalah yang sering dihadapi oleh operator soldering adalah postur kerja yang tidak ergonomis terutama ketika operator harus menunduk untuk bekerja, karena proses pemasangan part dan proses penyolderan yang mengharuskan mata melihat ke bawah. Postur kerja operator yang tidak ergonomis dapat menyebabkan keluhan Musculoskeletal Disorders (MSDs). Salah satu metode yang efektif untuk menganalisa keluhan MSDs adalah Nordic Body Map (NBM). Penelitian ini bertujuan untuk mengetahui keluhan Muskuloskeletal Disorder (MSDs) pada operator soldering di PT Omron Manufacturing of Indonesia yang berjumlah 9 orang. Kuesioner NBM diberikan untuk mengevaluasi segmen tubuh dengan keluhan otot. Hasil analisis adalah 6 operator memiliki tingkat risiko “rendah”, sedangkan 3 operator memiliki tingkat risiko “Sedang”. Sebagian besar operator mengalami keluhan MSDs yang didominasi pada area tangan-lengan, leher, bahu dan area kaki. Selanjutnya dilakukan analisa perbaikan dengan menggunakan Fishbone diagram untuk memberikan usulan perbaikan dari aspek metode, manusia, dan peralatan.
PENGARUH AKTIVITAS INDUSTRI TERHADAP KUALITAS AIR SUNGAI KABUPATEN KARAWANG
The Citarum River is one of the supports for daily life such as raw materials for clean water by PDAM, irrigation, toilets, water reservoirs, transportation, recreation, irrigation sources for agriculture, industry. These activities, especially industries that have recently developed very quickly, have unwittingly produced liquid and solid wastes that enter the Citarum watershed, so it is suspected that this river has been polluted. The research was carried out at 6 sampling points, namely: Point 1: Anggadita Village; Point 2: Pindodeli Area; Point 3: Telukjambe Bridge; Point 4: Unsika Area; Point 5: Karawang Square: and Point 6: Tanjungpura Purwadana Area. The time of observation is: August 2021-January 2022. This study aims to determine how much influence industrial activity has on river water quality based on the pollution index (Permen LH No.115 of 2003) with correlation and simple regression methods. The results of this study indicate that there is an influence of industrial activity on the decline in water quality of the Citarum River, Kab. Karawang by 95.6%.
PERANCANGAN MODEL ARTIFICIAL INTELLIGENCE (AI) UNTUK MEMBANTU MENENTUKAN PERSEDIAAN BAHAN BAKU KAYU PADA INDUSTRI FURNITUR DENGAN PENDEKATAN METODE FUZZY MAMDANI
Perencanaan persedian dalam suatu industri manufaktur tentunya menjadi bagian yang cukup penting. Hal ini dikarenakan jika bahan baku tidak ada maka artinya proses produksi pada industri manufaktur akan terhambat atau mengalami kendala. Sedangkan jika jumlah ketersediaan bahan baku terlalu berlebihan maka akan menimbulkan biaya tambahan. Sehingga untuk dapat melakukan perencanaan persediaan yang sesuai kebutuhan khususnya pada industri manufaktur yang berupa industri furnitur yang bahan baku utamanya berupa kayu. Penelitian ini berusahan melakukan perencanaan persediaan yang optimal dengan menggunakan pendekatan Logika Fuzzy. Pendekatan Fuzzy yang diadopsi atau yang dimplementasikan dalam penelitian ini adalah berupa Metode Fuzzy Mamdani. Alasan dalam penelitian ini menggunakan Metode Fuzzy Mamdani untuk melakukan proses prediksi persediaan kayu pada industri furnitur karena memiliki struktur yang sederhana dan fleksibel. Dalam mekanisme proses perhitungan Metode Fuzzy Mamdani pada umumnya menggunakan konsep operasi yang berupa mekanismer perhitungan min-max ataupun dapat menggunakan mekanisme max-product dengan menggunakan serangkaian aturan yang telah ditentukan berdasarkan variabel yang digunakan. Data yang digunakan pada penelitian ini adalah tahun 2019, 2020, 2021, dan 2022. Dalam proses penyelesaian masalah yang berupa penentuan jumlah persediaan yang optimal adalah dengan menggunakan proses penyelesaian Metode Fuzzy Mamdani. Dari hasil perhitungan menggunakan metode Fuzzy Mamdani. Dengan menggunakan data pada bulan Januari 2022 yang berupa data permintaan yang mempunyai nilai 1711 kubik dan data produksi yang mempunyai nilai 1469 kubik, maka didapatkan hasil pengolahan data dengan Metode Fuzzy Mamdani untuk jumlah persediaan pada periode bulan Januari 2022 adalah senilai 208 kubik.
Fuzzy Mamdani. Permintaan, Produksi, dan Persediaan.
ANALISIS CACAT KEMASAN MENGGUNAKAN METODE SIX SIGMA PADA PERUSAHAAN COKELAT DI DAERAH ISTIMEWA YOGYAKARTA
ABSTRACT Competition in the free market era is increasing so companies need to continue to increase their production output to be able to compete. As chocolate producer, a company also needs to pay attention their quality of products to maintain its business. These production results include the packaging of the products. In this research, analysis was carried out using Six Sigma with the Define, Measure, Analyze, Improvement and Control (DMAIC) stages. Research was conducted on defects in the secondary packaging of chocolate for the production period 14 – 31 August 2023. There are three types of defects in the secondary packaging chocolate, namely torn, printed, and dirty. The Pareto diagram shows that the biggest potential failure is torn and print defects which reach 95% (more than 80%). Based on research on defects in secondary packaging of chocolate for the production period 14 – 31 August 2023, it is known that the percentage of defects is 2,13%, the DPO value is 0,00709088, the DPMO value is 7.090,88, and has a sigma level of 4, which means it is on average. industrial average in USA. The estimated loss that the company can avoid when the sigma value can be increased to 6-sigma is Rp1.376.000,00. Keywords: Defect; Six Sigma; DMAIC; Quality ABSTRAK Persaingan era pasar bebas kian meningkat sehingga perusahaan perlu terus meningkatkan hasil produksinya agar mampu bersaing. Produsen cokelat tentu juga perlu memperhatikan hasil produksinya agar dapat mempertahankan bisnisnya. Hasil produksi tersebut termasuk kemasan dari produk yang dihasilkannya. Pada penelitian ini, dilakukan analisis menggunakan Six Sigma dengan tahapan Define, Measure, Analyze, Improvement, dan Control (DMAIC). Penelitian dilakukan pada kemasan sekunder cokelat periode produksi 14 – 31 Agustus 2023. Terdapat tiga jenis cacat yang ada pada kemasan sekunder cokelat, yaitu sobek, print, dan kotor. Diagram pareto menunjukkan bahwa potensi kegagalan terbesar adalah cacat sobek dan print yang mencapai 95% (melebihi 80%). Berdasarkan penelitian pada cacat kemasan sekunder cokelat periode produksi 14 – 31 Agustus 2023 diketahui bahwa persentase cacat sebesar 2,13%, nilai DPO 0,00709088, nilai DPMO sebesar 7.090,88, dan memiliki level sigma-4 yang artinya berada pada rata-rata industri di Amerika Serikat. Estimasi kerugian yang dapat dihindari perusahaan ketika nilai sigma dapat ditingkatkan menjadi 6-sigma adalah sebesar Rp1.376.000,00. Kata Kunci: Cacat: Six Sigma; DMAIC; Kualitas
ANALISIS LOADING TIME HIKITORI MENGGUNAKAN METODE LINE OF BALANCING
In this research, there is a problem about hikitori cycle process through the use of line balancing method, which is able to reduce long loading times become faster. The main objective of this research is to reduce hikitori loading time by using line of balancing, which will later produce new planning with more efficient process. The term hikitori is not common for all industries, but Japanese companies often use naming standards and work culture input in the industry. One of the industries originating from Japan is hikitori, namely vehicles that transport goods that will or have been processed. So that, going through the line balancing stage process makes the hikitori productivity system easier, which happens due to the preparation of the hikitori line with the addition of a new production line with a cycle time of 30 minutes, and the graphic visualization shows the problem where the waiting time becomes 89.5 minutes of the total MP, causing the total actual sigma CT is 323 minutes for a total of 10 MP. The research results show that there is a reduction in job balancing, thereby reducing time to 9 MP and waiting time also decreases to 9 MP or 22 minutes.
Loading Time; Hikitori; Kaizen; Line of Balancing
ANALISIS PENGARUH BEBAN KERJA TERHADAP KELELAHAN PEKERJA PADA DEPARTEMEN PAINTING MENGGUNAKAN METODE CVL DAN KONSUMSI ENERGI
Workload refers to worker activities that require strength and endurance and physical energy. The company under study is a manufacturing company engaged in the automotive sector in the painting department of four-wheeled vehicle production in Karawang. A related challenge is the dominance of manual processes in some parts of the company. The purpose of the study is to understand the workload on each shift and see the effect of worker fatigue by calculating the amount of energy consumption and using the CVL approach. The research results from the morning shift found that the average %CVL percentage in various production sections was as follows: Mixing 29.08%, Top coat 27.96%, Sanding ED 25.22% and Repair 25.11%. and for the night shift as follows: Mixing 30.12%, Top coat 29.65%, Sanding ED 25.92% and Repair 22.58%. It can be seen from the results of the study that the average CVL (%) on each shift does not cause excessive fatigue in workers. Although in general the phenomenon of fatigue does not occur, according to the calculations of some workers, especially at the mixing and topcoat stages, there is a higher percentage of %CVL with an average CVL value of 30% and requires improvement. In addition, the results of energy consumption calculations show that all parts are classified as work that uses low to very low energy consumption.
OPTIMASI PENCARIAN RUTE TERPENDEK PADA OBJEK WISATA CAMPING GROUND BATU TAPAK CIDAHU DENGAN METODE ALGORITMA GREEDY
Location is an important factor in tourist attractions. Strategic and easy-to-reach road access is a factor in tourists' decisions about tourism. In this research, researchers focused on finding the shortest route to the Camping Ground Batu Tapak tourist attraction in Cidahu, Sukabumi Regency, where tourists still have limited shortest routes to the tourist attraction. This research aims to determine the fastest route to the Batu Tapak Camping Ground tourist location to create effective and efficient route optimization. The method used in this research is the greedy algorithm, namely an algorithm that has an optimal solution by finding the shortest route. There are two routes with different distances, requiring researchers to use the Greedy Algorithm method with the result that route 2 is the shortest route to the Batu Tapak Camping Ground tourist attraction with a distance of 10.45 km.
Greedy Algorithm;Tourism; Route; Location
SEBUAH IMPLEMENTASI GAME THEORY PADA STRATEGI PERSAINGAN LION AIR GROUP DAN GARUDA INDONESIA GROUP
Aviation is still the people's choice of transportation today. Airlines in Indonesia are quite diverse so people consider the choice of airline. Starting from the quality of service, price, ease of reservation, etc. This case aims to analyze the strategies of AL Group and IG Group and find out which strategy is the most optimal for two parent companies. The method used is using Game Theory (Pure Strategy) which uses manual calculations and with the help of POM-QM software. In the manual calculation, the optimal value for the two parent airlines was 12. In the POM-QM software calculation, the optimal value for the two parent airlines was 11.56. Both parent airlines get the optimal point if using strategy 3 for IG Group and strategy 5 for AL Group.
RANCANG BANGUN MESIN PEMARUT SINGKONG DENGAN TEGANGAN MOTOR LISTRIK 220 V
Cassava shredding machine has become an integral part of the modern food industry, facilitating the process of grating cassava quickly and efficiently. In this context, this study describes the design of a cassava grater machine that adopts a 220 V electric motor voltage as the main power source. In the design of this machine, the electric motor voltage of 220 V was selected with careful consideration of efficiency and performance. This report describes the main components of the machine, including the electric motor, special grater blades, frame and safety mechanism. Also described is the process of grating cassava which occurs through the rotation of an electric motor, giving smooth and consistent grating results. The advantages of using a 220 V electric motor voltage are revealed in this article, focusing on greater power and power stability. In the context of the food industry, these machines have the potential to increase the productivity and quality of the final product. This research contributes to further understanding of the utilization of 220 V electric motor voltage in the design of a cassava grater machine. Its potential implications in increasing the efficiency and effectiveness of the grating process and its impact in the food industry make this research relevant and valuable in the development of future food technolog
ANALISIS KAPASITAS PRODUKSI PHYLON UNTUK MENDUKUNG JADWAL INDUK PRODUKSI MENGGUNAKAN METODE ROUGH CUT CAPACITY PLANNING (RCCP) DI PT HANJIN INSOLE INDONESIA PURWAKARTA
PT Hanjin Insole Indonesia is a company that produces phylon for shoe products. PT Hanjin Insole Indonesia has two products: Airmax 270 and Airmax Dawn. The company needs to know the factory's capacity to meet consumer demand. The main factor causing the company to be unable to meet consumer demand is that demand in each period experiences unstable conditions, which results in it being unable to meet demand. The company needs to do production planning to predict demand and ensure that consumer needs are met on time. By using the forecasting method, the company can determine the demand needed. The Aggregate Production Plan is designed to manage the costs required. The Master Production Schedule allows the company to evaluate its production capabilities and anticipate changes in demand each period. At the same time, Rough Cut Capacity Planning helps assess the company's capacity to meet demand. This study shows that the required production capacity has not reached the available capacity, with a percentage of 77% of the company's capacity, so the master production schedule for next year is considered adequate and has the potential to be maximized.
Forecasting; Aggregate Production Planning; Master Production Schedule; Rough Cut Capacity Planning
PENGUKURAN PRODUKTIVITAS TENAGA KERJA DENGAN MENGGUNAKAN MODEL HABBERSTAD
In order to succeed in the international market competition, companies must have a mature readiness in both internal and external factors of the Company, including improving company performance. The improvement of company performance can be achieved by enhancing productivity through the utilization of fewer resources and generating more output. To enhance labor productivity, a company can adopt alternatives in partial productivity models such as Habberstad (POSPAC). Convection MC BOGART has never conducted productivity measurements. Based on the measurement results and performance improvement already carried out using the Habberstad method, an increase ratio of 0.41% was obtained until January 2023, with the largest increase occurring in December 2022, amounting to 0.51%.
Productivity; Labor; Production; Habberstad; Pospac
DESAIN SISTEM INFORMASI RANTAI PASOK TERINTEGRASI BERBASIS ENTERPRISE RESOURCE PLANNING ODOO PENJUALAN
ERP systems have become a part of companies, so all the processes of business activities within the company are integrated with each other. Currently, many vendors offer ERP systems that are inexpensive and easy to implement, such as OpenERP or Odoo, which are open-source ERP systems. This study aims to identify the need for a sales information system that can solve problems at the company, design a sales information system that fits the needs of users based on ERP, and know the effectiveness of using the Odoo Sales Module application in the system. The method used is descriptive quantitative, namely by filling out a questionnaire for the sales staff to test the application using the User Acceptance Test (UAT). The results showed that the average UAT score was 90%. This value indicates that the respondents strongly agree that the Odoo Sales Module application is very useful and easy to use.
Enterprise Resource Planning; Modul Sales; Odoo; User Acceptance Test
PENJADWALAN PERAWATAN MESIN PRESSURE JET INCINERATOR DENGAN METODE RCM BERDASAR DOWNTIME ANALYSIS DAN FMEA
During 2013 PT. CWI as a solid waste processing services company did not reach its waste processing capacity target due to 62 pressure jet incinerator engine component failures, resulting in high downtime, namely 880 hours or an average of 73.33 hours per month. This repeated failure is due to the equipment maintenance system which is still carried out correctively. This research aims to create a preventive maintenance schedule to improve the maintenance system which has been carried out using the Reliability Centered Maintenance (RCM) method based on downtime analysis using the Failure Mode and Effect Analysis (FMEA) method approach. Based on downtime analysis, it is known that the average Operational Availability value for pressure jet incinerator machines is 87.21%, still below the word class standard of 90%. From the FMEA analysis, it was found that the component that was most critical and most at risk as a cause of failure was the Refractory Body with an RPN of 240, far above the RPN threshold of 88.6. Other components that are dominant as causes of failure are the Burner, Electric Motor, and Wet Scrubber. With the RCM method, preventive maintenance scheduling can be proposed in the form of a preventive maintenance job schedule in order to improve the corrective maintenance system into a preventive maintenance system.
RCM; Downtime; FMEA; Scheduling; Maintenance
PENGUKURAN DAN PERBANDINGAN NILAI OVERALL EQUIPMENT EFFECTIVENESS (OEE) PADA MESIN SPRING PRESS UNTUK OPTIMALISASI EFISIENSI PRODUKSI SHOCK ABSORBER
This research aims to compare the OEE values on the Spring Press Auto machine (B6H) and the Spring Press Manual machine (B65) and will analyze the OEE results of the two machines to see whether they comply with world class OEE standard. Quantitative research methods were used to carry out this research. Production performance analysis is important for companies in ensuring the efficiency and effectiveness of their production operations. One technique for assessing production efficiency is OEE.. This approach is utilized to measure how effectively production machines and equipment work in achieving predetermined production targets. This method measures three main things in production operations, namely availability, performance and quality of production machines and equipment. The OEE values obtained on the Spring Press Auto machine (B6H) and the Spring Press Manual machine (B65) still do not reach the world-class OEE standard. To achieve JIPM (Japan Institute of Plant Maintenance) standards, the Shock Absorber machine must achieve a score of 85%.
ENHANCING STORAGE AND RETRIEVAL SYSTEM IN THE CONSIGNED GOODS WAREHOUSE: A KAIZEN-BASED SOP DEVELOPMENT AND IMPLEMENTATION
The consigned goods warehouse often faces challenges, including accumulating of stored items and faults in retrieving consigned goods. These problems stem from using simple forms with inadequate information and the absence of a Standard Operating Procedure (SOP) to regulate consigned goods in the warehouse. This research aims to develop and implement an SOP for storing and retrieving consigned goods to address these issues. The research process began with observations and needs analysis, followed by the development and implementation of the SOP, and concluded with an impact analysis comparing conditions before and after the implementation of Kaizen. The findings reveal that the consigned goods warehouse system has become more organized and standardized. Improvements in item information include adding details such as intended usage, usage timelines, item photographs, and Purchase Requisition (PR) documents or Statement Letters (BA). These enhancements have improved traceability and eliminated faults in retrieving consigned goods. The accumulation of items was mitigated through a storage time limit and reminders from warehouse personnel to users when it was time to use the items.
PENINGKATAN PRODUKTIVITAS PRODUKSI PALET KAYU DENGAN PENDEKATAN SIKLUS PDCA DAN KAIZEN 5S DI CV ARSITA JAYA
CV Arsita Jaya is a company engaged in the production of wooden pallets playing a crucial role in the supply chain of various industries, including manufacturing, logistics, and export. Wooden pallets are used as a base for storage and transportation of goods to ensure stability and facilitate loading and unloading processes. Therefore, effectiveness and efficiency in wooden pallet production are essential factors in supporting smooth distribution. However, the company faces challenges in workplace management such as disorganized production areas, inefficient layout, and long tool search times which directly impact employee productivity and production capacity. To address these challenges, this study implements the PDCA cycle approach and the Kaizen 5S method to improve workplace organization and efficiency. The results indicate that the implementation of these methods successfully reduced tool search time by 39.24% and improved the 5S evaluation score from inadequate to highly satisfactory. Additionally, the socialization of the 5S method enhanced employees’ understanding as reflected in the increase in post-test scores compared to pre-test scores. This efficiency improvement demonstrates that the implementation of PDCA and Kaizen 5S not only creates a cleaner and more organized work environment but also contributes to increased productivity and the company's competitiveness in the supply chain industry.
KONSEPTUALISASI KERANGKA KERJA ANALISIS KETAHANAN TIM PADA PROYEK PENGEMBANGAN PRODUK BARU DI INDUSTRI OTOMOTIF
Quality scandals in the automotive industry have had a significant impact on new product development projects. This study examines the concept of team resilience in new product development projects within the automotive industry as a response to the effects of quality scandals. Based on the notion that every project must be prepared to face threats, whether anticipated or unexpected, the concept of resilience emerges as a solution to help organizations survive and recover from setbacks. Although new product development projects in the automotive industry are project-based organizations, studies on team resilience remain limited. Therefore, this research aims to develop a conceptual framework for team resilience applicable to new product development projects in the automotive industry. The framework is based on the latest team resilience theories and is modified by integrating relevant contextual factors, thereby facilitating the empirical testing of key variables at both the individual and project levels. Variables were selected through a review of previous empirical studies that highlighted dominant variables and adjusted to reflect real-world conditions. This study is expected to contribute significantly to understanding the implementation of team resilience and to support project success. It also opens opportunities for innovative strategies to significantly enhance competitiveness in the automotive sector.
LEAN MANUFACTURING ANALYSIS IN THE PRODUCTION PROCESS OF MAKING PAVING BLOCKS AT PT XYZ
Manufacturing is an integral part of the production or material innovation process to increase the efficiency and effectiveness of company productivity. PT PT. XYZ is a company that utilizes plastic waste to be processed into paving block products. The problem is that the company does not reach the production target. PT PT. XYZ can improve performance in meeting market targets. The purpose of this research is to use the concept of lean manufacturing to identify activities that cause waste. The methods used are Value Stream Mapping (VSM) and Value Stream Analysis Tool (VALSAT). One of the analysis tools used is Process Activity Mapping (PAM) with a total weight of 139.9. In addition, this research identifies activities that can be categorized as value-added (VA), non-value-added (NVA), and non-value-added required (NNVA). The results obtained from this research can reduce cycle time from 517.53 minutes to 457.53 minutes. Evaluation of improvements using the 5W1H method describes the details of what problems occur in the production process starting from humans, machines, materials, methods, and the environment. Later the cause of the production process is described in 5W1H then by taking action for improvement.
ANALISIS KUALITAS PELAYANAN LABORATORIUM MENGGUNAKAN METODE SERVQUAL (STUDI KASUS DI LABORATORIUM MANUFAKTUR TEKNIK INDUSTRI UNIVERSITAS BUANA PERJUANGAN KARAWANG)
ML UBP is a laboratory that supports students' needs in the Manufacturing Process practicum course. The aim of this research is to determine the level of satisfaction and dimensions that are priorities for improvement in UBP ML services and to determine whether there is a relationship between student perceptions and student expectations for the services provided. The methods used are ServQual and correlation regression. The method for determining the number of samples in this study used the Slovin technique with a sample of 61 respondents. In this study the data was analyzed using the help of IBM SPSS Statistics 23 software. Based on the results of the analysis using the ServQual method to determine the results of service quality (Q) value for the Reliability dimension (0.856) , Responsiveness dimension (0.867), Assurance dimension (0.869), Empathy dimension (0.883) and Tangible dimension (0.891). The average value of all attributes is (0.873) which is still below 1, which means consumer satisfaction has not been met. then the dimension that is a priority for improvement is the Reliability dimension. And based on the Linear Regression Test, service quality does not affect student satisfaction with service.
EVALUASI WASTE PADA PROSES SPOT WELDING MELALUI PENDEKATAN VALUE STREAM MAPPING
PT. STE produces small bracket parts for four-wheeled vehicles. In July – September 2024, transport hook products are experiencing a significant increase in demand compared to other products. It is known that in the production process of this transport hook there are still obstacles or activities that do not add value to the company. Therefore identification of waste is carried out in order to minimize the occurrence of this waste. The purpose of this research is to identify and minimize waste in the spot welding production process and determine the takt time in the hook transport production process. The method used is Value Stream Mapping (VSM. The results of the current state value stream mapping analysis before making improvements in the form of minimizing things that do not provide added value to the hook transport production process get a cycle efficiency process value of 74%, while in the expected future state value stream mapping analysis efforts are made to minimize waste and improve value added activity by obtaining a cycle efficiency process value of 94% or increase of 20% and the results of the analysis by calculating the take time in the spot welding production process is equal to 52.85 seconds, this means that in carrying out the hook transport production process it takes 52.85 seconds/product to be able to fulfill requests from consumers
ANALISIS KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN GYM DENGAN METODE SERVQUAL IPA DAN KAIZEN
Currently, sports services are increasingly in demand by the public. Ray Gym is a service company engaged in this field. However, over the past several months, there have been ups and downs in the number of members at the gym due to the quality of service received by customers. The purpose of this study was to be able to determine the level of service quality affecting customer satisfaction at the gym and the priority attributes that need to be improved at Ray Gym in an effort to improve service quality. The sample size for this research is 91 respondents. The method used is servqual, and the IPA method is used to analyze each attribute's level of importance and identify parts to be repaired, and the kaizen method is used as a proposed improvement with the application of PDCA. Data collection was carried out using a questionnaire. The data analysis tool is assisted by IBM SPSS 25 software. The results of the study show that the average value of service quality (Q) is 0.957, which means that service quality is still unsatisfactory because it has a value of Q < 1. In the results of the diagram, IPA Cartesian, several attributes need to be improved, namely attribute numbers Tangible 1, Empathy 1, and Assurance 3. In the results of Kaizen, solutions were found to improve attribute numbers, including Tangible 1, reliability 1, Responsiveness 1, Assurance 4, and Empathy 2. Keywords: Kaizen, Service Quality, Customer Satisfaction, Servqual, IPA ABSTRAK Saat ini jasa pelayanan olahraga semakin diminati oleh masyarakat. Ray gym adalah salah satu perusahaan jasa yang bergerak dalam bidang tersebut. Namun beberapa bulan terjadinya naik turun jumlah anggota pada gym tersebut, dikarenakan kualitas pelayanan yang diterima oleh pelanggan. Tujuan penelitian ini adalah untuk dapat mengetahui tingkat kualitas pelayanan terhadap kepuasan pelanggan di gym dan atribut prioritas yang perlu untuk diperbaiki pada Ray gym dalam upaya peningkatan kualitas pelayanan. Sampel penelitian ini sebanyak 91 responden. Metode yang dipergunakan yaitu servqual dan metode ipa digunakan sebagai untuk menganalisis setiap atribut-atribut tingkat kepentingan dan mengidentifikasi bagian yang diperbaiki, dan metode kaizen digunakan sebagai usulan perbaikan dengan penerapan PDCA. Pengumpulan data yang dilakukan dengan menggunakan kusioner. Alat data analisis dibantu oleh perangkat software IBM SPSS 25. Hasil dari penelitian menunjukkan bahwa nilai dari rata-rata kualitas pelayanan (Q) sebesar 0,957 yang artinya kualitas pelayanan masih kurang memuaskan karena memiliki nilai Q<1. Pada hasil diagram, kartesius IPA terdapat beberapa atribut yang perlu dilakukan perbaiki yaitu atribut nomor Tangible 1, Emphaty 1 dan Assurance 3. Pada hasil melalui kaizen ditemukan solusi perbaikan pada atribut nomor diantaranya: Tangible 1, Reability 1, Responsiveness 1, Assurance 4 dan Empathy 2. Kata Kunci: Kaizen, Kualitas Pelayanan, Kepuasan Pelanggan, Servqual, IPA
Kaizen, Service Quality, Customer Satisfaction, Servqual, IPA