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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Teknologi JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Sistem dan Manajemen Industri Jurnal INTECH Teknik Industri Universitas Serang Raya ComTech: Computer, Mathematics and Engineering Applications Jurnal Ilmiah Teknik Industri Indonesian Journal of Industrial Engineering & Management INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal Teknologi dan Manajemen AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Eduvest - Journal of Universal Studies Proceeding Mercu Buana Conference on Industrial Engineering Journal of Community Services in Sustainability
Choesnul Jaqin
Universitas Mercu Buana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation

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Improvement Proses Curing untuk Mengurangi Downtime Mesin dan Pemborosan Energi dalam Mendukung Transformasi Energi Rendah Emisi Darmawan, Putra; Jaqin, Choesnul
Proceeding Mercu Buana Conference on Industrial Engineering Vol 7 (2025): SMART AND SUSTAINABLE INDUSRIES : DRIVING LOW-EMISSIONS AND RENEWABLE ENERGY TRANSFORM
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2025.34521

Abstract

Proses curing pada industri manufaktur ban merupakan tahap kritis dengan konsumsi energi tinggi yang berkontribusi signifikan terhadap emisi karbon dan biaya produksi. Penelitian ini bertujuan untuk mengidentifikasi penyebab utama downtime mesin curing dan mengembangkan strategi perbaikan berbasis Total Productive Maintenance (TPM) dan Root Cause Failure Analysis (RCFA). Data dikumpulkan dari 240 unit mesin curing selama periode Januari–Juni 2025, mencakup durasi downtime dan konsumsi energi dalam kondisi idle. Hasil analisis menunjukkan bahwa implementasi perbaikan seperti autonomus maintenance, pemasangan andon system, dan pelatihan operator mampu menurunkan downtime hingga 45% dalam tiga bulan. Dampaknya, konsumsi energi idle turun signifikan, menghasilkan penghematan energi sebesar ±76 juta kWh listrik, ±152 juta kg steam, dan ±24 juta Nm³ nitrogen.  Hal ini setara dengan pengurangan emisi sebesar ±84.912 ton CO₂ dan efisiensi biaya mencapai Rp 181,8 miliar dalam tiga bulan operasional. Jika diekstrapolasi secara tahunan, penghematan ini berpotensi mencapai ±Rp 727 miliar atau sekitar 18% dari total biaya operasional tahunan proses curing. Penelitian ini memberikan bukti bahwa pendekatan TPM dan RCFA tidak hanya meningkatkan keandalan mesin, tetapi juga mendukung transformasi industri menuju energi rendah emisi.
Perancangan Optimasi Rute Pengiriman Buah Menggunakan Saving Matrix Dan Algoritma Genetika Untuk Meningkatkan Efisiensi Distribusi Jufri, Trizamsuar; Jaqin, Choesnul; Ichtiarto, Bonivasius Prasetya; Hernadewita, Hernadewita
Proceeding Mercu Buana Conference on Industrial Engineering Vol 7 (2025): SMART AND SUSTAINABLE INDUSRIES : DRIVING LOW-EMISSIONS AND RENEWABLE ENERGY TRANSFORM
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2025.34457

Abstract

Distribusi produk pertanian, khususnya buah-buahan yang mudah rusak, memegang peranan vital dalam menjaga kualitas produk dan efisiensi logistik. Keterlambatan pengiriman menjadi masalah utama dalam distribusi buah di Provinsi Jawa Barat, dengan tingkat keterlambatan mencapai 15–20% dan tingkat kerusakan produk 10–15%. Penelitian ini bertujuan untuk membandingkan efektivitas dua metode optimasi rute distribusi, yaitu metode Saving Matrix dan Algoritma Genetika, dalam konteks pengiriman buah dari berbagai wilayah di Jawa Barat menuju Bandung. Penelitian ini mengintegrasikan parameter degradasi kualitas buah berdasarkan waktu pengiriman dan karakteristik komoditas, seperti masa simpan. Pendekatan mixed-method eksplanatori sekuensial digunakan dalam penelitian ini. Tahap kualitatif dilakukan melalui wawancara dan observasi terhadap delapan stakeholder industri logistik pertanian. Temuan kualitatif menjadi dasar perancangan model optimasi. Pada tahap kuantitatif, Saving Matrix dan Algoritma Genetika diimplementasikan menggunakan bahasa pemrograman Python dengan library seperti geopy, DEAP, dan matplotlib. Data jarak antar titik diperoleh dari koordinat geografis, dan model optimasi dikembangkan berdasarkan formulasi Vehicle Routing Problem (VRP) yang disesuaikan. Hasil penelitian menunjukkan bahwa Algoritma Genetika lebih unggul dalam konteks kompleksitas tinggi, dengan kemampuan mengurangi waktu pengiriman hingga 22% dan penurunan kerusakan stroberi dari 15% menjadi 7%. Sementara itu, Saving Matrix lebih unggul dari sisi kecepatan komputasi dan efisiensi awal, namun kurang adaptif terhadap variasi karakteristik produk dan medan geografis. Penelitian ini memberikan kontribusi pada praktik logistik pertanian dengan menawarkan solusi berbasis algoritma untuk distribusi buah yang lebih efisien dan adaptif terhadap kondisi riil. Hasil ini juga memperkaya literatur tentang penerapan heuristik dan evolusioner dalam konteks distribusi produk perishable di negara berkembang seperti Indonesia.
Sustainable product development for small medium enterprise Purba, Humiras Hardi; Hasibuan, Sawarni; Jaqin, Choesnul
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 9 No. 2 (2025)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v9i2.743

Abstract

Developing new products based on sustainable product development is not easy. It is necessary to consider various aspects such as price, quality, consumers, competitors, and others. Large-scale companies have the resource capacity to develop new products. However, for small and medium enterprises (SMEs) with limited capital and equipment, developing new products that are successful in the market response is a complicated job. This community service activity aims to educate SMEs about sustainable new product development and the basic procedures for developing a new product. It is carried out in collaboration with partners from PERMAI Penang, targeting Indonesian workers in Malaysia who may be trying to develop independent businesses. Specifically, this training will help participants 1) Identify the type of product to be developed, 2) Understand all aspects related to new product development, 3) Understand the standard stages of product development. By increasing the knowledge of independent entrepreneurship among workers in Pulau Pineng Malaysia, we hope that more SMEs will succeed in developing products or services for consumers. Empowering employees to prioritize their welfare by knowing the basics of new product development will create additional income for migrant workers who take part in this training.Contribution to Sustainable Development Goals (SDGs):SDG 9: Industrial Innovation & Responsible ProductionSDG 12: Sustainable Production & ConsumptionSDG 11: Sustainable Cities and CommunitiesSDG 17: Partnership for Sustainability
Implementation of six sigma approach for increasing quality formal men’s jackets in the garment industry Sjarifudin, Didin; Kurnia, Hibarkah; Purba, Humiras Hardi; Jaqin, Choesnul
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4359

Abstract

This study aims to implement the Six Sigma method on formal men's jacket products in the garment industry to increase the level of sigma. The methodology is based on the Define, Measure, Analyze, Improve, and Control (DMAIC) approach. The new approach in this study is the determination of 5W+1H using a Focus Group Discussion (FGD) with five expert judgments. The design of this study has applied the Six Sigma method at the Measure stage. It is a measurement before improvement and after the Control stage as a measurement after improvement. The results of this study have increased the level of sigma from 3.5765 to 3.7839, so there is an increase of 5.48%. Increasing the sigma level contributes to a decrease in defects at the finish line by 44.09% every month. Implementing the Six Sigma method to the DMAIC approach has succeeded in increasing the level of sigma, automatically reducing the percentage of defects and increasing the productivity of formal men's jackets in the garment industry.
Analysis of lean-agile-resilient-green (LARG) implementation in the electric car industry in Indonesia Purba, Humiras Hardi; Jaqin, Choesnul; Aisyah, Siti; Nabilla, Mutiara
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7674

Abstract

Vehicle type approval (VTA) total registration of electronic vehicles in Indonesia for the accumulation period until August 2023 is 81,525 units with a composition of 4-wheeled vehicles 18,300 units. The use of electric vehicles is still a tiny portion compared to the motorized vehicle population in Indonesia, which will reach more than 146 million units in 2022. It is different from developments in Europe, the United States, and China, where more research into the use of electric vehicles is being carried out. The readiness of the automotive industry system to produce electric vehicles is absolutely necessary to achieve superior productivity levels. National auto­motive companies need to anticipate that changes in production systems will also change along with changes in processes and components in electric vehicles. In the next few years, world-class manufacturing production systems will refer to LARG (lean, agile, resilient, and green) aspects. Lean, agile, resilient, and environmentally friendly manufacturing industrial opera­tions are critical. This research aims to determine the level of appli­cation of LARG aspects in the electric vehicle automotive industry. The method used was exploratory, and a questionnaire was filled out with industry experts and analyzed using the analytical hierarchy process (AHP) and objective matrix (OMAX). The results of this study confirm that all aspects of LARG require improvement. Resilience (R) and green (G) have performance below 10 percent, so these two aspects are priorities for improvement by the electric car industry in Indonesia.
Optimalisasi Transportasi Pengangkutan Sampah di Lingkungan Perumahan Suhaeri, Suhaeri; Mayanti, Malinda; Sihombing, Rustam; Prasetyo, Yogi Dwi; Sarjono, Sarjono; Jaqin, Choesnul
Proceeding Mercu Buana Conference on Industrial Engineering Vol 6 (2024): DOWNSTREAMING RESEARCH AND ENTREPRENEURSHIP IN THE DIGITAL ERA: CHALLENGING AND OPPORT
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2024.025

Abstract

Sampah merupakan permasalahan perkotaan yang membutuhkan penanganan khusus dari sisi pengangkutan dari tempat pembuangan sementara sampai pembuangan akhir. Saat ini pengangkutan sampah yang sudah dilakukan dilingkungn perumahan yaitu memiliki biaya sebesar Rp 1.550 (Rp dalam puluh ribuan). Tujuan pada penelitian ini adalah untuk mengoptimalkan sistem pengangkutan sampah sehingga biaya yang dikeluarkan dapat lebih optimal. Metode yang digunakan untuk solusi awal yaitu dengan menggunakan metode North West Corner (NWC), Least Cost (LC), dan Vogel Approximation (VAM). Untuk mengoptimalkan hasil dari solusi awal menggunakan metode Stepping Stone. Berdasarkan analisis didapatkan hasil total cost yang optimal Rp 729 (Rp dalam puluh ribuan). Hal ini didapatkan dari perhitungan dengan menggunakan metode Least Cost (LC) dan Vogel Approximation (VAM) yang memiliki nilai total cost yang sama sebagai metode perhitungan solusi awal dan dilanjutkan dengan metode Stepping Stone untuk optimalisasi
Lean Six Sigma: Literature Review and Implementation for Textile and Textile Product (TTP) Industries Kurnia, Hibarkah; Tumanggor, Ojakma Sihar Panaili; Jaqin, Choesnul
Proceeding Mercu Buana Conference on Industrial Engineering Vol 3 (2021): RESEARCH DEVELOPMENT BASED ON LITERATURE REVIEW
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Textile and Textile Product (TTP) industry starts from the preparation of fibers to become yarn rolls (Spinning Mills), fabrics (Weaving and Knitting), and Garments (Garments). There is a defect or production process waste in the process, so it needs continuous analysis and improvement to produce high productivity and improve quality by applying the Lean Six Sigma (LSS) method. However, research in the textile industry does not all use LSS. Some companies still use other ways, for example, Plan-Do-Check-Action (PDCA) and Quality Control Seven tools. This literature review aims to collect systematically from several studies, especially in the TTP sector, and to explain in the existing literature and identify the segments that produce the most publications. This research work is obtained from Google Scholar, Elsevier, Science Direct, and other publications in the world. This paper is based on a study of 30 LSS Sigma articles published from 2013 to 2020 in the world's leading journals. Journal collection is based on the textile industry segment and based on the country of origin of the journal publisher and year of publication. This literature review shows that 46% of journals are from the Garment segment, 40% of journals are from Indonesia, and in 2019, most publications
Analisis Kualitas Pelayanan Berbasis Preferensi Konsumen: Studi Kasus Pada Bengkel Kendaraan Roda Empat Purba, Humiras Hardi; Debora, Fransisca; Sitorus, Tosty Maylangi; Aisyah , Siti; Jaqin , Choesnul
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 3 No. 2 (2022)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i2.95

Abstract

Product and service quality factors are important aspects of business continuity. Consumers will abandon low-quality products and services. Consumers will feel satisfied if all aspects of the products and services are appropriately accommodated. Product and service quality have different tendencies because service quality dimensions are more complex than product quality. This study aims to analyze the quality of customer service at auto repair shops based on consumer preferences. Assessment of the level of satisfaction and consumer expectations of each attribute is done by filling out a questionnaire to identify the gap between the level of importance and level of performance. The consumer's assessment of each indicator of the auto repair shop is carried out through a questionnaire filled out to the consumer to find out the gap between the level of importance and the level of performance. The analytical method used is Importance Performance Analysis–IPA showing that the attributes of auto repair shops that need to be improved are [P1] improving the repair period as promised, [P2] Procedures and managerial capabilities in providing adequate service, [P3] Results following consumer recommendations, and [P4] Knowledgeable workshop managers and staff, [P5] Service speed from responsiveness quality dimensions, [P11] Credibility and honesty of workshop managers and staff, [P12] Clarity of communication and information to consumers. The priority of quality attributes of auto repair shops that will be improved can provide alternative development priorities between human resources and limited equipment servicing.
Analisis Peningkatan Kualitas Produk Case ECU dengan Menggunakan Metode DMAIC dan QFD pada Industri Manufacturing Die Casting S, Suhaeri; Jaqin , Choesnul
JISI: Jurnal Integrasi Sistem Industri Vol. 13 No. 1 (2026): JISI UMJ
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.13.1.123-136

Abstract

Industri otomotif, khususnya pada sektor kendaraan bermotor roda dua mengalami pertumbuhan signifikan yang mendorong meningkatnya kebutuhan terhadap komponen elektronik seperti casing ECU (Electronic Control Unit). Proses produksi casing ECU (Electronic Control Unit) melalui metode die casting berbahan aluminium sangat krusial karena dituntut menghasilkan produk yang presisi dan minim cacat. Penelitian ini bertujuan untuk mengidentifikasi dan memperbaiki jenis cacat tertinggi menggunakan metode DMAIC (Define, Measure, Analyze, Improve, Control) yang diintegrasikan dengan QFD (Quality Function Deployment). Berdasarkan data, tiga jenis cacat terbesar ditemukan yaitu porosity gate sebesar 51,18% (47.545 pcs), flowline sebesar 31,11% (28.904 pcs), dan cold shut sebesar 11,43% (10.618 pcs). Fokus perbaikan ditujukan pada porosity gate sebagai cacat dengan persentase tertinggi. Hasil analisis House of Quality menghasilkan enam prioritas perbaikan, yaitu penambahan pengecekan visual gate (75,83), metode deteksi burr area gate lebih optimal (75,23), optimasi titik spray (70,90), kontrol posisi tube spray saat running (57,70), peningkatan periode training operator (35,63), dan evaluasi hasil training (26,70). Korelasi positif kuat ditemukan pada pengecekan visual gate dan metode deteksi burr dengan kontribusi masing-masing sebesar 22,2% dan 22,0%. Setelah perbaikan, nilai DPMO (Defect Per Million Opportunities) menurun dari 14.592 menjadi 4.871, dan nilai sigma meningkat dari 3,68 menjadi 4,08. Hasil ini menunjukkan bahwa integrasi metode DMAIC (Define, Measure, Analyze, Improve, Control) dan QFD (Quality Function Deployment) mampu menurunkan tingkat cacat dan meningkatkan kualitas produksi casing ECU (Electronic Control Unit).
Digitalization System to Improve Efficiency & Quality Through the Selective QC 7 Tools Method in the Component Automotive Industry Yantono Simamora; Choesnul Jaqin; Humiras Humiras
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.52976

Abstract

The automotive component industry faces significant challenges in improving operational efficiency and production quality, particularly due to reliance on manual processes. A key issue identified is the company's Overall Equipment Effectiveness (OEE) performance, which has not met the established target, with an average achievement of only 72%, indicating considerable process inefficiencies and productivity losses. External pressures such as global market dynamics, economic uncertainty, and increasing Regional Minimum Wage (UMP) rates have further exacerbated the need for digital transformation to enhance operational efficiency and organizational competitiveness. This study aims to design a digitalization system to address operational inefficiencies and low production quality in the automotive component industry, focusing on improving OEE performance, reducing operational costs, and supporting data-driven decision-making. This research proposes an integrated digitalization system developed through the combination of the selective QC 7 Tools and Design Thinking approaches, with the selective QC 7 Tools applied to systematically identify and analyze the root causes of operational inefficiencies. The implementation resulted in significant improvements, including the complete elimination of 195 minutes per shift of non-value-added activities, the reduction of reporting lead time from 2–3 days to near real-time (0.5 days for analysis), and a 10% increase in OEE performance. The system also enabled the reallocation of 13 administrative personnel to more value-added roles, reduced operational costs, and minimized paper waste and CO₂ emissions. This study confirms that the selective QC 7 Tools prove effective in supporting digital transformation, and that data-driven digitalization can significantly improve competitiveness and business sustainability.
Co-Authors Agus Suhendar Ahmad Rozak Aisyah , Siti Alam, Fachrul Algi Fahri Arief Nugroho Arief Nugroho Bayu Hari Nugroho Bonivasius Prasetya Ichtiarto Darmawan, Putra Daruki, D Daruki, Daruki Didin Sjarifudin, Didin Fransisca Debora Fransisca Debora Hasiholan Manurung Hendra Adiyatna Hendra Adyatna Hernadewita Herry Agung Prabowo Humiras Hardi Purba Humiras Humiras Huwae, Priskila Timaha Jufri, Trizamsuar Juniawan, Singgih Maryani, Edna Mayanti, Malinda Mutiara Nabilla Nabilla, Mutiara Prasetyo, Yogi Dwi Roysen, Uti Rozak, Ahmad S, Suhaeri Salmon Tampubolon Sarjono Sarjono, Sarjono Sawarni Hasibuan Setiawan Setiawan Sihombing, Rustam Siti Aisyah Siti Aisyah Siti Aisyah Suhaeri Suhaeri, Suhaeri Suryadi Ali Syifaul Qulub, Irkham Tampubolon, Salmon Tosty Maylangi Sitorus Tosty Maylangi Sitorus, Tosty Maylangi Tumanggor, Ojakma Sihar Panaili Uly Amrina Yantono Simamora