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All Journal J@TI (TEKNIK INDUSTRI) Agrointek Jurnal Optimasi Sistem Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri PROZIMA (Productivity, Optimization and Manufacturing System Engineering) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal INTECH Teknik Industri Universitas Serang Raya MIMBAR INTEGRITAS Widya Teknik
Ivan Gunawan
Universitas Katolik Widya Mandala Surabaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Perbaikan Sistem Manajemen Gudang dengan Merancang Ulang Tata Letak, Sistem Penyimpanan dan Pemanfaatan Teknologi RFID Daniel Christian Natan; Martinus Edy Sianto; Ivan Gunawan
Widya Teknik Vol. 20 No. 2 (2021): November
Publisher : Fakultas Teknik, Universitas Katolik Widya Mandala Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/wt.v20i2.2653

Abstract

CV. XYZ adalah salah satu produsen cone paper yang menggunakan sistem penataan random based-storage, dan penelusuran bahan baku juga hanya berda sarkan pada ingatan para petugas gudang. Permasalahan lain yang dihadapi adalah pencarian material menjadi lama, total jarak perpindahan menjadi tidak optimal, dan selalu merasa kekurangan ruang di gudang. Berdasarkan masalah tersebut peneliti akan melakukan perbaikan tata letak gudang, perancangan sistem rak yang yang spesifik untuk industri cone paper, dan peningkatan sistem informasi persediaan dengan pemanfaatan teknologi RFID. Ketiga aspek tersebut: tata letak, sistem rak, dan sistem informasi persediaan; perlu dilakukan secara simultan karena ketiga aspek tersebut saling terkait. Perbaikan tata letak gudang bahan baku usulan menggunakan metode class based storage, di mana bahan baku dikelompokkan berdasarkan kesamaan jenis. Perbaikan tersebut dapat menghemat jarak perpindahan sejauh 38,5%, mempercepat proses pencarian, dan mempermudah proses loading/unloading. Pada desain rak gulungan usulan akan mampu menjalankan aturan FIFO, mempercepat pencarian bahan baku gulungan, dan mengurangi risiko kerusakan akibat tertumpuk dan disimpan terlalu lama. Pada sistem informasi usulan yang didukung dengan sistem identifikasi akan mampu mempercepat serta mengurangi kesalahan perhitungan dan pencatatan bahan baku akibat human error, dan juga mempercepat proses pembuatan laporan dan pencarian bahan baku.
A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy Ig. Jaka; Ivan Gunawan; Yunia Vera Angelia; Dian Trihastuti
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n2.p91-100.2020

Abstract

With the increasing complexity of the process industry, having excellent maintenance management is essential for manufacturing industries. Various parts that interact and interdependent with each other make a well-planned maintenance strategy is one of the major challenges facing by industry. The whole system could be interrupted just simply because of the failure of a component. Therefore, a review of a maintenance strategy must be done from a system perspective. It is suggested that the optimal preventive maintenance time interval is not only determined by the lowest maintenance cost of each machine but also its impact on the whole system. Two main indicators that can accommodate the system perspective are reliability and revenue. A large number of machines and the array of machines can be synthesized in the reliability indicator. Moreover, the creation of maximum revenue is always the main goal for a business. The best maintenance strategy will be determined from the revenue obtained by a process industry. The process industry discussed in this study is a flour mill which is very well known in Surabaya. This study applied a hybrid simulation to solve this problem. Monte Carlo simulation was used to observe the machine individually and the results are reviewed using the application of System Dynamics. Three improvement scenarios were proposed in this simulation study. Scenario 2 was chosen as the best scenario because it was able to generate the highest revenue at the end of the period. Scenario 2 recommends setting the preventive maintenance time interval considering resource availability.
Recycling Solid Waste of Coconut Oil Industry: A Response Surface-Goal Programming Approach Dwi Agustin Nuriani Sirodj; Ivan Gunawan
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n2.p111-121.2020

Abstract

Waste minimization is a key success factor to achieve sustainability, including in the edible oil industry. One type of solid waste produced substantially in this industry is spent bleaching earth (SBE), which comes from a mixture of bleaching earth (BE) and activated carbon (CA) used in the edible oil refining process. SBE that is recycled through a heating process is known as heat regenerated SBE (HRSBE). The process is influenced by two factors as stated in previous studies: temperature and time. In the current study, we report the results of experiments to find the optimal combination of temperature and time in restoring the absorbent quality of SBE by observing four quality parameters: colors (red and yellow), Free Fatty Acid (FFA), and Peroxide Value (PV). The current study uses Response Surface Methodology (RSM) to design the experiments and to find the equations of the relationship between the factors for each response; as well as Goal Programming (GP) to find the most optimal combination of factors in order to achieve aggregated quality targets. The findings show that 3.414 hours of heating at a temperature of 151.64oC allow HRSBE to produce coconut oil in accordance with the expected quality targets.
An Integrative Fuzzy FMEA–DEMATEL Approach for Waste Reduction in Lean Implementation in Higher Education Institutions: A Literature Review: Pendekatan Integratif Fuzzy FMEA–DEMATEL untuk Pengurangan Pemborosan dalam Penerapan Lean di Institusi Pendidikan Tinggi: Tinjauan Literatur Lusia Permata Sari Hartanti; Ivan Gunawan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1770

Abstract

Lean philosophy offers higher education institutions (HEIs) opportunities to improve operational efficiency. Implementing Lean Higher Education requires a systematic, structured approach, as waste in HEIs is highly complex and interrelated. This study proposes an integrative framework using fuzzy Failure Mode and Effect Analysis (FMEA) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to evaluate waste in HEIs. A conceptual literature review is employed to synthesize relevant articles aligned with the research objectives and to formulate an integrative fuzzy FMEA–DEMATEL framework. Fuzzy logic is used to reduce subjectivity in waste assessment, and DEMATEL is used to map causal relationships among wastes. The fuzzy FMEA-DEMATEL integration framework offers a solution for identifying and reducing waste in IPT. However, to evaluate the fuzzy FMEA-DEMATEL integration framework resulting from this study, additional empirical validation is needed.
Usaha Peningkatan Pengetahuan Satuan Pengaman Kampus dengan Budidaya Ikan Lele dalam Ember Menggunakan Tenaga Surya di Kampus Universitas Katolik Widya Mandala Surabaya Andrew Joewono; Yohanes Harimurti; Adriana Anteng Anggorowati; Wenny Irawaty; Ivan Gunawan
MIMBAR INTEGRITAS : Jurnal Pengabdian Vol 5 No 2 (2026): Februari - Agustus
Publisher : Biro Administrasi dan Akademik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/mimbarintegritas.v5i2.8106

Abstract

Program pengabdian pada masyarakat merupakan kegiatan implementasi langsung kepada masyarakat dari hasil-hasil penelitian yang pernah dilakukan, dengan tujuan menyelesaikan pendekatan permasalahan pada mitra masyarakat, serta memberikan pengalaman langsung bagi dosen dan mahasiswa dalam berinteraksi bersama dengan masyarakat, dengan harapan dapat mengaplikasikan ilmu pengetahuan, teknologi, soft-skills dan hard-skills untuk berkolaborasi dengan mitra dalam membangun masyarakat. Permasalahan mitra: (1) bagaimana cara membuat usaha yang dapat dikelola keluarga untuk meningkatkan perekonomian pada lahan terbatas, (2) bagaimana para pembudidaya memiliki keterampilan menata kelola keuangan, dengan mengatur aliran keuangan dalam menjalankan usaha budidaya ikan lele, serta dapat mengatur siklus produksi budidaya serta pengolahan hasil panen ikan lele dengan teratur. Kegiatan mempunyai manfaat bagi kelompok mitra dan UKWMS: (a) Bagi kelompok mitra, akan mengalami peningkatan pendapatan dengan adanya hasil budidaya, dengan harapan dapat memberikan dampak positif, secara non finansial, kelompok mitra dapat memberikan inspirasi dan motivasi bagi usaha mikro dilingkungannya; (b) Bagi UKWMS, memperdalam jejaring binaan kelompok mitra serta usaha mikro sebagai mitra kerja fungsionalnya. Kegiatan ini dapat memberikan keahlian dan pengalaman pembelajaran diluar kampus bagi mahasiswa. Luaran kegiatan, menghasilkan keuntungan sebesar Rp. 285.000,-/ periode, 2 bulan, dalam tahap awal pelaksanaan dengan memasukkan bibit lele 300 ekor.
Optimal Order Scheduling for Corrugated Box Production on Flexographic Printing Machines Using a Genetic Algorithm Irene Karijadi; Ivan Gunawan; Stephanie Gracia Khangara
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p25-41.2026

Abstract

In a flexographic printing machine, color changeover actually takes up excessive time and serves as a bottleneck in the corrugated cardboard packaging manufacturer. This causes inefficiency and reduces the output. The objective of this study is to optimize production scheduling using a Genetic Algorithm (GA) to minimize sequence-dependent setup times (SDST). The current manual scheduling method used in the studied flexographic printing environment does not explicitly account for the sequence-dependent color changeover structure considered in this study, creating opportunities for improved scheduling performance through optimized production sequencing. To address this problem, the SDST problem was first formulated as a Mixed-Integer Linear Programming (MILP) model based on systematic observation and historical production data. A customized GA was then developed to generate high-quality scheduling solutions, and a systematic parameter tuning process was conducted, identifying an effective configuration of population size 500, 100 generations, and mutation rate 0.7 to ensure stable convergence. Results show that the proposed GA framework reduced setups times by over 70.78% (equivalent to 5.04 hours per shift) compared to the facility’s existing manual scheduling baseline and also outperformed the greedy heuristic benchmark, consistently achieving an average setup time of 8,466.63 seconds across multiple runs with low variability, demonstrating reliable performance. This study shows that GA can serve as a practical approach for optimizing scheduling in flexographic printing and closely related sequence-dependent color changeover production contexts, although the current model is based on deterministic conditions with fixed job sequences, which may limit responsiveness to dynamic production uncertainties such as machine breakdowns or rush orders, suggesting the need for future enhancements using simulation and multi-objective optimization approaches.
Co-Authors Adriana Anteng Anggorowati Andrew Joewono Daniel Christian Natan Dian Trihastuti Dwi Agustin Nuriani Sirodj Hadi Santosa Harimurti, Yohanes Ig. Jaka Ig. Jaka Mulyana Irene Karijadi Ivan Keane Hutomo Julius Mulyono Khenny Hosana Lusia Permata Sari Hartanti Martinus Edy Sianto Nicole Levina Celestina Stephanie Gracia Khangara Venisia Tamara Vivi Pathrecia Susanto Wenny Irawaty Yehezkiel Prakoso Putra Yunen Yuliati Yuliati Yunia Vera Angelia