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Optimization Multi-Item Lot Sizing Model involve Transportation and Capacity Constraint under Stochastic Demand using Aquila Optimizer Dana Marsetiya Utama; Selvia Rubiyanti; Rahmat Wisnu Wardana
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.31-50

Abstract

Inventory issues are often a major concern as they significantly impact operating costs. Lot sizing is one of the key decisions in managing inventory. However, in a real context, the demand for each item is often uncertain. It is supplied from the same supplier, requiring product orders to be placed in the same period. In addition, limited vehicle capacity and transportation costs are important factors to consider in making multi-item lot sizing decisions. The purpose of this study is to propose a new inventory model multi-item lot sizing model involving transportation cost and capacity constraints under stochastic demand. The decision variables involved in the model are each item's ordering cycle and safety factor with the objective function of minimizing the total inventory cost. To optimize the inventory model, this study also offers the advanced procedure of the Aquila Algorithm. This study also presents sensitivity analysis to the appropriate policy for optimizing the multi-item lot-sizing inventory problem involving transportation cost and capacity constraint under stochastic demand.
Sustainable Layout Design Based on Integrated Systematic Layout Planning and TOPSIS: A Case Study Meiliza Dresanala; Shanty Kusuma Dewi; Dana Marsetiya Utama
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.51-64

Abstract

This research applies the concept of sustainable layout in the manufacturing industry by incorporating social, environmental, and economic aspects in the production process. The main objective of this research is to design a sustainable layout for the plastic packaging manufacturing industry. The approach utilizes the TOPSIS method to select an Activity Relation Chart (ARC) integrated with a systematic Layout Planning procedure. A case study is presented on an industry that produces plastic packaging in Indonesia. The results show that the proposed sustainable layout design significantly reduces the material handling distance compared to the initial layout. These results confirm that the Systematic Layout Planning approach and TOPSIS method have great potential in designing layouts that integrate sustainable principles effectively in manufacturing environments.
MINIMASI KONSUMSI ENERGI PADA PERMASALAHAN HYBRID FLOW SHOP SCHEDULING DENGAN ALGORITMA SALP SWARM Bayu Nur Hidayat; Dana Marsetya Utama; Ikhlasul Amallynda
Jurnal Ilmiah Teknik Industri Vol. 11 No. 2 (2023): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v11i2.25755

Abstract

The scarcity and possible depletion of energy sources in the future is due to the high energy consumption in the manufacturing industry. One of the efforts to deal with this problem is scheduling. This article investigates the Hybrid Flow Shop Scheduling Problem (HFSSP) to minimize energy consumption. A metaheuristic algorithm procedure is proposed, inspired by the Salp swarm in the ocean, the Salp Swarm Algorithm. The SSA algorithm is proposed to determine the optimal sequencing considering minimal energy consumption. An interesting finding of this study is that the higher the population and iterations, the lower the energy consumption. In addition, the optimization results show that the total energy consumption is due to variations in setup and removal energy consumption and idle machine energy consumption. From the numerical results, the SSA algorithm can produce scheduling with minimal energy consumption compared to the heuristic procedure.
A modified Aquila optimizer algorithm for optimization energy-efficient no-idle permutation flow shop scheduling problem Dana Marsetiya Utama; Nabilah Sanafa
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.6446

Abstract

Increasing energy consumption has faced challenges and pressures for modern manufacturing operations. The production sector accounts for half of the world's total energy consumption. Reducing idle machine time by em­ploying No-Idle Permutation Flow Shop Scheduling (NIPFSP) is one of the best decisions for reducing energy consumption. This article modifies one of the energy consumption-solving algorithms, the Aquila Optimizer (AO) algo­rithm. This research contributes by 1) proposing novel AO procedures for solving energy consumption problems with NIPFSP and 2) expanding the literature on metaheuristic algorithms that can solve energy consumption problems with NIPFSP. To analyze whether the AO algorithm is optimal, we compared by using the Grey Wolf Optimizer (GWO) algorithm. It com­pares these two algorithms to tackle the problem of energy consumption by testing four distinct problems. Comparison of the AO and GWO algorithm is thirty times for each case for each population and iteration. The outcome of comparing the two algorithms is using a t-test on independent samples and ECR. In all case studies, the results demonstrate that the AO algorithm has a lower energy consumption value than GWO. The AO algorithm is there­fore recommended for minimizing energy consumption because it can produce more optimal results than the comparison algorithm.
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.
Energy-Efficient Permutation Flow Shop Scheduling Problem: A Systematic Literature Review Utama, Dana Marsetiya; Primayesti, Meri Dines; Umamy, Sabila Zahra; Kholifa, Bunga Milenia Nur
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.13-54

Abstract

Energy-efficient scheduling is an important problem in the industrial world because improper scheduling can increase energy consumption. One of the production scheduling problems is the Permutation Flow Shop Scheduling Problem (PFSP). This article tries to review research on energy-efficient PFSP to provide a comprehensive review of trends and research gaps in energy-efficient PFSP. A systematic literature review (SLR) was used to conduct this research survey, and 123 articles were collected from 2011-2023. This SLR classifies articles based on publication year, type, objective function, and optimization method used. The results of the literature review analysis show a significant increase every year for energy-efficient PFSP, and multi-objective problems are the dominant problems studied. Based on the analysis of solutions to solve energy efficient PFSP, metaheuristic procedures are the procedures that contribute the largest to solving energy efficient PFSP, and the objective function that is popularly used is to minimize total energy consumption. In addition to this, this study presents a gap research analysis and future research directions for energy-efficient PFSP.
PENDAMPINGAN SELF-DECLARE HALAL PADA UMKM BIDANG MAKANAN DAN MINUMAN DI KOTA MALANG Nafis, Dzakia; Warkoyo; Wahyudi, Vritta Amroini; Anggriani, Rista; Utama, Dana Marsetiya; Hafid, Ibnu; Maulana, Abel Alqurni; Fitriana, Nur
Studi Kasus Inovasi Ekonomi Vol. 8 No. 01 (2024)
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/skie.v8i01.32149

Abstract

Halal sudah menjadi aspek kebutuhan di zaman yang sudah berkembang ini. Indonesia dengan mayoritas pemeluk agama islam membuat pemerintah mewajibkan adanya jaminan status halal produk dalam bentuk sertifikat halal. Berdasarkan Undang-Undang Nomor 33 Tahun 2014 tentang Jaminan Produk Halal serta Undang-undang Nomor 11 Tahun 2020 tentang Cipta Kerja, pelaku usaha/ industri makro dan mikro wajib mengurus sertifikat halal. Sertifikat halal merupakan salah satu jaminan status halal dari suatu produk. Sertifikat halal bertujuan untuk memberikan kepastian pada konsumen bahwa produk atau layanan yang bersangkutan sudah sesuai dengan syariat yang ada. Kota Malang memiliki kurang lebih 8000 UMKM yang bergerak di bidang makanan dan minuman. Self-declare adalah salah satu skema sertifikasi halal pada Usaha Mikro, Kecil dan Menengah (UMKM). Adanya skema ini mempermudah UMKM dalam memperoleh sertifikasi halal. Pentingnya sertifikat halal membuat pemerintah berupaya meningkatkan kesadaran dan pemahaman produsen maupun konsumen mengenai urgensi halal. Self-declare sendiri memberikan UMKM kemampuan untuk mengelola dan menyatakan kehalalan produk mereka sendiri. Pendampingan dilakukan untuk meningkatkan pemahaman dan kesadaran pelaku UMKM terhadap halal dan edukasi mengenai proses pengajuan sertifikasi halal melalui self-declare. Kegiatan ini dilakukan dengan metode penyuluhan interaktif (edukasi sadar halal) dan pendampingan administrasi pendaftaran self-declare. Target dari kegiatan ini adalah Usaha Mikro, Kecil dan Menengah yang berada di Kota Malang. Pendampingan ini dilakukan dengan tujuan untuk menambah wawasan dan meningkatkan kepedulian mengenai halal. Melalui pendampingan ini juga dapat ditelusuri hambatan dan masalah yang dihadapi UMKM dalam proses sertifikasi halal. Hasil dari pengabdian ini menunjukkan bahwa pemahaman dari UMKM meningkat dan muncul sikap positif terkait pentingnya sertifikasi halal pada produknya sehingga UMKM akan mendaftarkan sertifikasi halal produknya dan didapatkan hasil berupa sertifikat halal.
Pelatihan Penyunsunan Desain Pembelajaran Ilmu Pengetahuan Alam dan Sosial dengan Menggunakan Pendekatan Culture Responsive Teaching Yasa, Arnelia Dwi; Kumala, Farida Nur; Utama, Dana Marsetiya; Randle, Oluwarotimi; Santoso, Heri
Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Juni
Publisher : Actual Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56393/jpkm.v4i1.2242

Abstract

Menurunnya pengetahuan budaya lokal membuat siswa Sekolah Dasar lebih tertarik pada budaya Barat. Oleh karena itu, mahasiswa Pendidikan Guru Sekolah Dasar Universitas PGRI Kanjuruhan Malang perlu pelatihan mendesain pembelajaran Ilmu Pengetahuan Alam dan Sosial dengan pendekatan Culture Responsive Teaching. Meskipun mereka sering menggunakan pendekatan Technological Pedagogical Content Knowledge, implementasi desain berbasis Culture Responsive Teaching masih minim. Pendekatan Culture Responsive Teaching membekali siswa dengan pemahaman terkait keragaman budaya. Pelatihan ini bertujuan untuk mengajarkan mahasiswa Pendidikan Guru Sekolah Dasar merancang pembelajaran Ilmu Pengetahuan Alam dan Sosial dengan Culture Responsive Teaching. Subjek kegiatan adalah 20 mahasiswa S1 Pendidikan Guru Sekolah Dasar Universitas PGRI Kanjuruhan Malang. Kegiatan dilakukan dalam tiga tahap: persiapan, pelaksanaan, serta evaluasi dan pelaporan, menggunakan metode ceramah, diskusi, dan tanya jawab. Efektivitas diukur dari N-Gain Score pretest dan posttest. Hasilnya, kegiatan berjalan lancar dalam dua pertemuan. Pertemuan pertama membahas konsep dan desain Culture Responsive Teaching, sedangkan pertemuan kedua fokus pada simulasi desain. Kegiatan ini efektif, terbukti dari N-Gain Score mahasiswa yang berada pada kategori sedang dan tinggi.
Pelatihan Manajemen Proyek sebagai Pemberdayaan Masyarakat dalam Bisnis Jasa Landscaping di Kabupaten Lamongan Utama, Dana Marsetiya; Baroto, Teguh; Yasa, Arnelia Dwi
Yumary: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v5i1.2989

Abstract

Artikel ini membahas tentang pelatihan dan pemberdayaan masyarakat terkait manajemen proyek dalam bisnis jasa landscaping di Kabupaten Lamongan. Tujuan utama dari artikel ini adalah untuk meningkatkan pemahaman dan keterampilan masyarakat dalam mengelola proyek-proyek landscaping secara efektif dan efisien. Metode pelaksanaan kegiatan ini terdiri dari empat tahapan utama: Pre-test Awal, Paparan Materi Manajemen Proyek, Pendampingan Manajemen Proyek, dan Post-test Akhir. Enam peserta dari mitra turut serta dalam kegiatan ini. Paparan Materi Manajemen Proyek terkait tentang konsep dasar manajemen proyek, tahapan dalam siklus hidup proyek, pengelolaan risiko, pembuatan jadwal, manajemen sumber daya, dan evaluasi keberhasilan proyek. Selain itu, peserta juga diberikan studi kasus untuk meningkatkan pemahaman mereka. Hasil dari kegiatan pelatihan dan pemberdayaan menunjukkan adanya peningkatan pemahaman masyarakat terkait manajemen proyek. Hal ini tercermin dari hasil Post-test Akhir yang menunjukkan peningkatan skor dari Pre-test Awal. Dengan adanya pelatihan ini, diharapkan masyarakat dapat mengelola proyek-proyek landscaping dengan lebih terampil dan percaya diri, meningkatkan kualitas hasil akhir proyek, serta mengurangi risiko yang mungkin timbul. Selain itu, artikel ini juga memberikan kontribusi dalam pengembangan bisnis jasa landscaping di Kabupaten Lamongan serta pemberdayaan masyarakat di wilayah tersebut.
Economic production quantity model involving repair, waste disposal, electricity tariff, and emissions tax Utama, Dana Marsetiya; Lubis, Imtiaz Habib
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8961

Abstract

This research aims to develop a new model for a comprehensive Economic Production Quantity (EPQ) by considering repair processes, waste disposal, electricity tariffs, and emission taxes to optimize inventory management decisions in two shops. The first shop is responsible for providing new manufacturing and remanufacturing products required by the second shop, which focuses on inventorying finished products to meet demand. The main objective of the proposed Model is to minimize total cost. The Model is formulated as Integer Non-Linear Programming (INLP) to represent the complexity of production and inventory decisions. This study applies a Genetic Algorithm (GA) approach run using Microsoft Excel software with the Solver feature To optimize the solution of the proposed Model. Sensitivity analysis shows that while increases in electricity tariffs and emissions taxes significantly increase the total costs incurred by firms, these factors do not directly reduce total energy consumption or carbon emissions. Instead, increased costs generally result in smaller optimal production batch sizes, which does not necessarily translate into reduced energy use, as operational energy requirements remain constant. Our findings emphasize the delicate balance between cost components and energy use, highlighting that increased electricity costs and emissions do not directly lead to overall cost savings or improved energy efficiency.
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