Article Per Year (5 Year)
p-Index From 2020 - 2025
7.69
P-Index
This Author published in this journals
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

Published : 79 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search
Journal : Jurnal Ilmiah Teknik Industri

 1   2 
PENJADWALAN FLOWSHOP MENGGUNAKAN ALGORITMA NAWAZ ENSCORE HAM Ilyas Masudin; Dana Marsetya Utama; Febrianto Susastro
Jurnal Ilmiah Teknik Industri Vol. 13, No. 1, Juni 2014
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v13i1.321

Abstract

This article attempts to schedule flow shop production using Nawaz Enscore Ham (NEH) to schedule jobs machining. The objective of this paper is to minimize total makespan which could reduce total production costs. This paper is based on the case study where NEH is applied in scheduling jobs in machines and then compared with the existing machine’s scheduling. The algorithm of NEH is also used to reduce idle time of machines so that the utility or performances of the machine are maintained.  The results of NEH simulation indicate that by applying NEH algorithm to scheduling machines for 10 jobs and 5 machines can reduce 2.5 per cent or 118 minutes of completing time of jobs. It also decreases total idle time of machines about 582 minutes compared with the existing scheduling.
Integration Dematel and ANP for The Supplier Selection in The Textile Industry: A Case Study Dana Marsetiya Utama; Bianca Maharani; Ikhlasul Amallynda
Jurnal Ilmiah Teknik Industri Vol. 20, No. 1, June 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i1.13806

Abstract

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.
A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration Muhammad Faisal Ibrahim; Yunita Siti Mardhiyyah; Ahmad Rusdiansyah; Meidina Kalse Boer; Dana Marsetiya Utama
Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i2.11769

Abstract

In this article, focus on the simulation of a three-phase perishable product inventory system of a SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software, simulation results of the existing condition show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need for fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adopted to simulate inventory system problems effectively. The method in this research can be applied to investigate various supply system scenarios and their consequences before implementing it in a real system.
Pengembangan Algoritma Hybrid Flowshop Three-Stage Dengan Mempertimbangkan Waktu Setup Dana Marsetiya Utama; Annisa Kesy Garside; Wahyu Wicaksono
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7683

Abstract

Hybrid flow shop scheduling is one topic that is often reviewed by researchers at this time. Hybrid flow shop scheduling is the development of problems from pure flow shop. Flow shop problems have one machine at each stage. In this problem, each stage of operation has a machine that is arranged in parallel. This article aims to discuss the issue of hybrid flow shop scheduling at three stage to minimize makespan. Some previous studies discussed scheduling problems by considering setup time. However, such research is generally for the problem of pure flow shop. Therefore, a new algorithm is proposed to solve the problem. The proposed algorithm is developed from the Pour heuristic algorithm. Several experiments were conducted to determine the performance of the proposed algorithm. This study uses ten numerical experiments. This experiment uses the number of jobs varying from 5 jobs to 50 jobs. The results of numerical experiments show that the proposed algorithm has better performance compared to some other algorithms. The proposed method produces an effective solution if it is used to solve problems with a large number of jobs..
Penentuan Lot Size Pemesanan Bahan Baku Dengan Batasan Kapasitas Gudang Dana Marsetiya Utama
Jurnal Ilmiah Teknik Industri Vol. 15, No. 1, Juni 2016
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v15i1.1664

Abstract

This paper explains the problem of determining the lot size of ordering raw materials with warehouse capacity limitation in order to minimize inventory costs. Generally, the lot size of ordering raw materials determined without considering warehouse capacity. The algorithm that used is Wagner Within (WW) which is modified by adding a warehouse capacity as a constraint. The result shows the minimum of total inventory cost is 24,100 and the ordering raw materials at the week 3, 5 and 7.
Energy-Efficient Flow Shop Scheduling Using Hybrid Grasshopper Algorithm Optimization Dana Marsetiya Utama; Teguh Baroto; Dian Setiya Widodo
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.10079

Abstract

Manufacturing companies have a significant impact on environmental damage, and energy consumption in manufacturing companies is a widespread issue because the energy used is derived from fossil fuels. This research aims to minimize energy consumption using develop Hybrid Grasshopper Algorithm Optimization (HGAO). The focus of the issue in this article is the Permutation Flow Shop Scheduling Problem (PFSSP). A case study was conducted in offset printing firms. The results showed that the HGAO algorithm is capable of reducing energy consumption in offset printing firms. The higher the population of search agents and iterations produces less energy consumption. The HGAO algorithm is also compared with the genetic algorithm (GA). The results show that HGAO is more efficient in reducing energy consumption than GA.
Hybrid Henry Gas Solubility Optimization: An Effective Algorithm for Fuel Consumption Vehicle Routing Problem Dana Marsetiya Utama; Baiq Nurul Izzah Farida; Ulfa Fitriani; M. Faisal Ibrahim; Dian Setiya Widodo
Jurnal Ilmiah Teknik Industri Vol. 20, No. 2, December 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i2.15640

Abstract

The depletion of non-renewable fuel reserves is the biggest problem in the logistics sector. This problem encourages the transportation sector to increase fuel efficiency in distribution activities. The fuel optimization problem in distribution routing problems is called the Fuel Consumption Vehicle Routing Problem (FCVRP). This study proposes a novel Hybrid Henry Gas Solubility Optimization (HHGSO) to solve FCVRP problems. Experiments with several parameter variants were carried out to determine the performance of HHGSO in optimizing fuel consumption. The results show that the parameters of the HHGSO algorithm affect fuel consumption and computation time. In addition, the higher the KPL, the smaller the resulting fuel consumption. The proposed algorithm is also compared with several algorithms. The comparison results show that the proposed algorithm produces better computational time and fuel consumption than the Hybrid Particle Swarm Optimization and Tabu Search algorithms.
An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm Cynthia Novel Al-Imron; Dana Marsetiya Utama; Shanty Kusuma Dewi
Jurnal Ilmiah Teknik Industri Vol. 21, No. 1, June 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i1.17634

Abstract

Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases. This research aims to propose the Grey Wolf Optimizer (GWO) algorithm to minimize energy consumption in the No Idle Permutations Flowshop Problem (NIPFP). The GWO algorithm has four phases: initial population initialization, implementation of the Large Rank Value (LRV), grey wolf exploration, and exploitation. To determine the level of machine energy consumption, this study uses three different speed levels. To investigate this problem, 9 cases were used. The experiments show that it produces a massive amount of energy when a job is processed fast. Energy consumption is lower when machining at a slower speed. The performance of the GWO algorithm has been compared to that of the Cuckoo Search (CS) algorithm in several experiments. In tests, the Grey Wolf Optimizer (GWO) outperforms the Cuckoo Search (CS) algorithm.
No-Wait Flowshop Permutation Scheduling Problem : Fire Hawk Optimizer Vs Beluga Whale Optimization Algorithm Muhammad Aghniya Baihaqi; Dana Marsetiya Utama
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21128

Abstract

No-Wait Flowshop Permutation Scheduling Problem (NWPFSP) is a scheduling problem that states that every job completed on machine n must be processed immediately on the next machine. The NWPFSP problem is an extension of the flowshop problem. This article proposes two new algorithms fire hawk optimization and beluga whale optimization, to solve the NWPFSP problem and minimize makespan. The two new algorithms developed to solve the NWPFSP problem are tested on three different cases. Each algorithm was run 30 times and was compared using an independent sample t-test. The results were also compared with the Campbell Dudek Smtih algorithm. In addition, the effectiveness of the FHO and BWO algorithms was assessed against the CDS algorithm using the Relative Error Percentage (REP) method. The results show that the FHO and BWO algorithms are better at solving NWPFSP problems when compared to the CDS algorithm. However, the BWO algorithm is more recommended in cases with large data because it can provide better results.
Co-Authors Abiddin, Moh Zainal Ahfa, Hikam Antasyard Ahmad Rusdiansyah Alba, Nidaul Anindya Apritha Putri Annisa Kesy Garside Ardiansyah, Leo Rizki 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 Jabari, Ahmed Nedal Abid Al Kareem Kholifa, Bunga Milenia Nur Leilani Salsabilah, Aisyah 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, Anindya Apritha Putri, Artha Bripka Rahmat Wisnu Wardana Ramadhani, Taufik Akbar Randle, Oluwarotimi Ricca Andhini Octaria Risma, Yolanda Mega 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