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All Journal International Journal of Advances in Applied Sciences Jurnal Teknik Industri TEKNIK J@TI (TEKNIK INDUSTRI) Bulletin of Electrical Engineering and Informatics SPEKTRUM INDUSTRI Agrointek Jurnal Optimasi Sistem Industri International Journal of Advances in Intelligent Informatics Jurnal Ilmiah Teknik Industri Jurnal Litbang Industri Indonesian Journal of Science and Technology Jurnal Sistem dan Manajemen Industri PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri KACANEGARA Jurnal Pengabdian pada Masyarakat JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Ilmiah Teknik Industri Studi Kasus Inovasi Ekonomi Yumary: Jurnal Pengabdian kepada Masyarakat Industrial and Domestic Waste Management Jurnal Litbang Industri Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Spektrum Industri
Dana Marsetya Utama
(SINTA ID: 5991174), Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Pemberdayaan masyarakat dalam produksi briket dari limbah kulit jeruk di Kabupaten Malang Diami, Berlinda Amalia; Salsabilah, Aisyah Leilani; Salsabila, Nadhea Aurelie; Djirimu, Hanum Salsabila; Utama, Dana Marsetiya; Rosiani, Tyas Yuli
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 4 (2024): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i4.2502

Abstract

Tingginya jumlah limbah kulit jeruk yang dihasilkan oleh perkebunan jeruk di Kabupaten Malang menimbulkan masalah lingkungan yang signifikan, sementara kebutuhan akan bahan bakar alternatif seperti briket semakin meningkat. Hingga saat ini, limbah kulit jeruk belum dimanfaatkan secara optimal, menciptakan peluang ekonomi yang terabaikan dan memperburuk masalah lingkungan. Program pengabdian ini bertujuan untuk mengatasi permasalahan tersebut melalui pemberdayaan masyarakat setempat dengan memberikan pelatihan mengolah limbah kulit jeruk menjadi briket. Pendekatan partisipatif digunakan, di mana melibatkan masyarakat dalam setiap tahapan produksi briket, termasuk koordinasi dengan mitra, penilaian awal pengetahuan, sosialisasi, pelatihan, pendampingan, serta evaluasi keberhasilan dan keberlanjutan program. Evaluasi dilakukan melalui pre-test dan post-test dengan analisa statistik menggunakan uji Wilcoxon untuk mengukur peningkatan pengetahuan dan keterampilan. Hasilnya menunjukkan peningkatan signifikan dalam kemampuan masyarakat mengolah limbah menjadi briket berkualitas, serta peningkatan kesadaran lingkungan dan potensi ekonomi dari limbah. Pemberdayaan masyarakat melalui pengelolaan limbah terbukti efektif dalam mengatasi masalah lingkungan dan meningkatkan kesejahteraan ekonomi.
Pelatihan dan pendampingan digital marketing untuk bisnis jasa landscaping di Kabupaten Lamongan Utama, Dana Marsetiya; Baroto, Teguh; Yasa, Arnelia Dwi
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 3 (2024): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i3.2165

Abstract

Artikel ini membahas sebuah kegiatan pengabdian masyarakat yang bertujuan untuk memberikan pelatihan dan pendampingan digital marketing yang disesuaikan dengan kebutuhan bisnis jasa landscaping di Lamongan. Kegiatan ini terdiri dari empat tahapan utama, yaitu Pre-test Awal, Paparan Materi Digital Marketing, Pendampingan Pemanfaatan Web untuk Digital Marketing, dan Post-test Akhir. Pendekatan yang digunakan meliputi pelatihan pemasaran digital yang interaktif dan partisipatif serta pendampingan yang melibatkan sesi presentasi, diskusi kelompok, studi kasus, dan latihan praktis. Hasil dari kegiatan ini menunjukkan adanya peningkatan yang signifikan dalam pemahaman peserta terkait digital marketing. Selain itu, dampak dari kegiatan pendampingan digital marketing juga dapat diamati melalui pengembangan tampilan website yang telah dibangun. Penyelenggaraan kegiatan ini memberikan bukti konkret tentang efektivitas pelatihan dan pendampingan dalam meningkatkan pemahaman dan penerapan konsep-konsep digital marketing dalam konteks bisnis jasa landscaping. Temuan ini memiliki implikasi yang penting bagi pengembangan keterampilan dan peningkatan kinerja bisnis di era digital saat ini.
The production-inventory model with imperfect, rework, and scrap items under stochastic demand Utama, Dana Marsetiya; Putri, Artha Bripka
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp896-906

Abstract

Inventory is crucial in maintaining a smooth production process and meeting consumer demand for manufacturing companies. This research focuses on production problems involving defects, rework, and scrap items in stochastic demand. This research aims to develop a production-availability model by minimizing the expectation of total cost (ETC). The model includes four main decision variables, namely production quantity (Q), safety factor (k), production rate (P), and rework rate (P1). This research uses the Aquila optimizer algorithm to optimize the objective function. It compares with the heuristic procedure and Harris Hawk optimization algorithm. The results showed that the Aquila optimizer algorithm successfully optimized the production-availability problem. A comparison between algorithms indicates that the Aquila optimizer algorithm performs equivalently to the Harris Hawk optimization algorithm and outperforms the heuristic procedure. Sensitivity analysis shows that increasing demand uncertainty increases ETC and k. At the same time, it can decrease Q.
Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax Marsetiya Utama, Dana; Dwi Asmara Putri, Yolanda; Kusuma Dewi, Shanty
Spektrum Industri Vol. 23 No. 1 (2025): Spektrum Industri - April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i1.233

Abstract

This study aims to develop a novel Economic Production Quantity (EPQ) model that integrates important sustainability and operational factors reorders, rework, imperfect quality, emission taxes, and variable electricity tariffs- by minimizing the total inventory cost while considering environmental and energy-related constraints. The model is formulated as an Integer Non-Linear Programming (INLP) problem, with two main decision variables: the total number of products produced in a cycle (y) and the maximum allowable reorder level (w). To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. In addition, a sensitivity analysis is performed to assess the impact of various parameters on the total cost. Numerical experiments show that increasing emission taxes, electricity tariffs, and installation costs significantly increase the total inventory and production costs. In particular, higher emission taxes and electricity tariffs amplify the financial burden on manufacturers, underscoring the economic implications of environmental regulations and energy use. These findings emphasize integrating operational and ecological considerations into production planning. This study contributes to the field by offering a comprehensive framework that supports sustainable manufacturing practices through cost-effective inventory management. The proposed EPQ model enables manufacturers to balance economic performance and ecological responsibility, aligning operational strategies with sustainability goals and regulatory compliance.
Optimizing Green Vehicle Routing Problem for Halal and Non-Halal Products using Salp Swarm Algorithm Marsetiya Utama, Dana; Leilani Salsabilah, Aisyah
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.413

Abstract

Modern distribution systems must clearly distinguish between halal and non-halal items, particularly in areas with sizable Muslim populations and rising awareness of halal integrity. Consumer confidence may suffer, halal principles may be broken, and cross-contamination may result from failing to maintain this separation. This research uses the Green Vehicle Routing Problem (GVRP) approach, which is solved with the Salp Swarm Algorithm (SSA), to develop a joint distribution optimization model for halal and non-halal products in an effort to address these issues. With complete separation and adherence to halal logistics regulations, this methodology aims to reduce Total Distribution Cost (TDC), which comprises fuel expenses, carbon emissions, and operating costs. The SSA method is combined with Large Rank Value (LRV) to convert continuous solutions into practical and feasible route sequences. Simulation results using synthetic data from 20 customer locations show that increasing the population size and SSA iterations consistently reduces the TDC value until stable convergence is achieved. The model also proves to be robust to changes in fuel costs, emissions, and vehicles without altering the route structure. Overall, the results of the research show that the SSA-based GVRP model is capable of providing efficient and sustainable halal logistics solutions. The novelty of this research lies in the explicit integration of halal and non-halal segregation with the SSA-based GVRP optimization framework in a single sustainable distribution system.
AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study Yolanda Mega Risma; Dana Marsetiya Utama
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
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.v22.n2.p126-141.2023

Abstract

Global energy consumption is a pressing issue and is predicted to continue increasing between 2010 and 2040. Among the various sectors, the industrial sector, particularly manufacturing, is the main driver of this increase. To effectively address this growing problem and support energy conservation efforts, reducing idle time on production-related machines is critical. The No-Idle Permutation Flow Shop Problem (NIPFSP) and, indirectly, the need to reduce energy consumption in manufacturing processes are the driving forces behind this study. The African Vultures Optimization Algorithm (AVOA) and the Ant Lion Optimizer (ALO) are two novel meta-heuristic algorithms designed to achieve this goal. The effectiveness of both AVOA and ALO was rigorously evaluated across three distinct scenarios: small, medium, and large. Statistical analysis, in the form of independent sample t-tests, was employed to compare the performance of these algorithms. We found that, while both algorithms yielded similar results in the small case, AVOA demonstrated a superior capability in optimizing the NIPFSP in the medium and large cases and, consequently, in curbing energy consumption. This implies that AVOA offers a more promising approach to addressing energy consumption concerns in the manufacturing sector, particularly in scenarios involving medium- to large-scale production processes. The implementation of such innovative meta-heuristic algorithms holds the potential to significantly contribute to global energy conservation efforts while enhancing the efficiency of industrial operations.
A Fuzzy Multi-Criteria Approach for Selecting Open-Source ERP Systems in SMEs Using Fuzzy AHP and TOPSIS Dana Marsetiya Utama; Muhammad Faisal Ibrahim; Ahmed Nedal Abid Al Kareem Jabari
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
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.v23.n2.p167-187.2024

Abstract

In a rapidly growing and competitive business era, selecting an open-source Enterprise Resource Planning (ERP) system is a critical step to support the efficiency and effectiveness of company operations. This research aims to propose an innovative methodology by integrating the fuzzy Analytical Hierarchy Process (fuzzy AHP) and fuzzy Technique for Order Preference by Similarity to the Ideal Solution (fuzzy TOPSIS) to improve the open-source ERP selection process. The method involves eight criteria and 26 sub-criteria to comprehensively evaluate 11 open-source ERP alternatives, specifically for SMEs in the transportation services sector in Indonesia. System quality has been identified as a critical factor in the selection of an open-source ERP system, with particular emphasis on aspects such as security and reliability. These sub-criteria are considered the most influential in determining the suitability of a system. The analysis further indicates that the 10th ERP alternative as the best choice, consistently outperforming others in meeting the defined criteria. Additionally, sensitivity analysis confirmed the robustness of this choice, demonstrating its stability and effectiveness despite changes in criteria weights. Beyond its practical implications for SMEs, this research contributes a versatile evaluation framework that can be adapted to other industries seeking effective ERP solutions. The findings emphasize the importance of structured decision-making in technology adoption, offering comprehensive and reliable guidance for organizations aiming to optimize their operations through open-source ERP systems. This study not only bridges a critical gap in ERP selection for SMEs but also establishes a methodological foundation for future research and applications across diverse industry sectors.
A Hybrid Model for Green Supplier Selection and Order Allocation: DEMATEL, ANP, and Multi-criteria Goal Programming Approach Dana Marsetiya Utama; Anindya Apritha Putri; Ikhlasul Amallynda
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in October 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.119 KB) | DOI: 10.25077/josi.v20.n2.p567-575.2021

Abstract

Increased competition in the industrial world forces companies to increase their competitiveness through Green Supply Chain Management (GSCM). The key to the success of GSCM is the selection of suppliers and the allocation of the proper order by taking into account environmental aspects. This decision involves several criteria and must also pay attention to the relationship between criteria. This study proposes a hybrid procedure to solve Green Supplier Selection and Order Allocation (GSSOA). The integration of Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multi-Criteria Goal Programming (MCGP) are proposed to solve this problem. The DEMATEL is used to calculate the relationship between criteria. Furthermore, the ANP is proposed to determine the weight of the criteria and supplier ranking. Finally, the MCGP method is offered for allocating orders based on priority suppliers. A case study on the food industry in Malang, Indonesia, was conducted to apply this procedure. The results showed that the low defects rate criterion is the most important compared to other criteria. The best supplier was successfully selected, and the order allocation was completed. Order allocation priority is to suppliers D, C, A, and B. This study also presents a sensitivity analysis for order allocation.
Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika Dana Marsetiya Utama; Leo Rizki Ardiansyah; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
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.v18.n2.p133-141.2019

Abstract

Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.
Co-Authors Abiddin, Moh Zainal Ahfa, Hikam Antasyard Ahmad Rusdiansyah Ahmed Nedal Abid Al Kareem Jabari Alba, Nidaul Anindya Apritha Putri Annisa Kesy Garside Asrofi, Mochammad Samsul Ayu An Putri Salima Azis Fredy Mulya Bahru Widjonarko Bahtiar, Ardi Agustia Baiq Nurul Izzah Farida Bayu Nur Hidayat Bianca Maharani Boer, Meidina Kalse Cantika Febrita Cynthia Novel Al-Imron D Farista Dewi Maharani Diami, Berlinda Amalia Dian Setiya Widodo Dimas Caesario Pradikta Djirimu, Hanum Salsabila Dwi Asmara Putri, Yolanda Dwi Pramudia Wardani Farida Nur Kumala Fathiha Raudhatul Jannah Febrianto Susastro Febrianto Susastro, Febrianto FERRY YULIANTO FERRY YULIANTO, FERRY Firdaus, Muhammad Hafid, Ibnu Halifah, Syukron Taufiqurrohman Harto, Setyo Heri Mujayin Kholik Heri Santoso Hikam Antasyard Ahfa Husen, Moh. Ikhlasul Amallynda Ikhlasul Amallynda Ilyas Masudin Ilyas Mas’udin Imam Santoso Inggit Sekar Ningrum Kholifa, Bunga Milenia Nur Leilani Salsabilah, Aisyah Leo Rizki Ardiansyah Lubis, Imtiaz Habib M. Faisal Ibrahim M.M Putri Mardhiyyah, Yunita Siti Mas’udin, Ilyas Maulana, Abel Alqurni Maulana, Sri Kurnia Dwi Budi Meidina Kalse Boer Meiliza Dresanala Mochammad Samsul Asrofi Moh Zainal Abiddin Moh. Husen Muhammad Aghniya Baihaqi Muhammad Faisal Ibrahim Muhammad Faisal Ibrahim Muhammad Faisal Ibrahim, Muhammad Faisal Muhammad Firdaus Nabilah Sanafa Nafis, Dzakia Nasution, Riven Nidaul Alba Ningrum, Inggit Sekar Nur Fitriana Pradikta, Dimas Caesario Primayesti, Meri Dines Putri, Artha Bripka Rahmat Wisnu Wardana Ramadhani, Taufik Akbar Randle, Oluwarotimi Ricca Andhini Octaria Rista Anggriani Riven Nasution Rizal Dian Azmi Safitri, Wa Ode Nadhilah Salsabila, Nadhea Aurelie Salsabilah, Aisyah Leilani Sanafa, Nabilah Selvia Rubiyanti Setyo Harto Shanty Kusuma Dewi Sri Kurnia Dwi Budi Maulana Syukron Taufiqurrohman Halifah Teguh Baroto Thoriq Akbar Zein Tyas Yuli Rosiani Ulfa Fitriani Ulfa Fitriani Umamy, Sabila Zahra Veronika Indah Mawarti Veronika Indah Mawarti, Veronika Indah Vritta Amroini Wahyudi Wahyu Wicaksono Wardani, Dwi Pramudia Warkoyo Widodo, Dian Setiya Wike A. P. Dania Yasa, Arnelia Dwi Yolanda Mega Risma Yusuf Hendrawan Zein, Thoriq Akbar