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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

Author-ID : 526569

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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Algoritma ant-lion optimizer untuk meminimasi emisi karbon pada penjadwalan flow shop dependent sequence set-up Dana Marsetiya Utama; Teguh Baroto; Dewi Maharani; Fathiha Raudhatul Jannah; Ricca Andhini Octaria
Jurnal Litbang Industri Vol 9, No 1 (2019)
Publisher : Institution for Industrial Research and Standardization of Industry - Padang

Industri manufaktur akhir-akhir ini dituntut untuk memperhatikan isu lingkungan. Pemakaian energi pada produksi umumnya menghasilkan emisi karbon. Emisi karbon ini menjadi permasalahan di lingkungan. Untuk mengurangi pemakaian emisi karbon, penelitian ini menggabungkan metode penjadwalan dan emisi karbon sebagai solusi dalam masalah lingkungan. Kasus pada artikel ini adalah flow shop dependent sequence set-up. Jurnal ini mengusulkan algoritma baru Ant Lion Optimizer (ALO) yang terinspirasi oleh alam untuk meminimasi emisi karbon. Beberapa percobaan numerik dilakukan untuk mengetahui parameter terbaik dari Algoritma ALO. Untuk menguji keefektifan dari algoritma, Algoritma ALO ini dibandingkan dengan beberapa algoritma populer saat ini. Hasil percobaan numerik menunjukan algoritma ALO efektif untuk meminimasi emisi karbon.ABSTRACTManufacture industry recently is required to pay attention of enviromental issue. The use of energy in production generally produces carbon emissions. This carbon emission is a problem in the environment. This study combines scheduling methods and carbon emissions as a solution to environmental issues to reduce the use of carbon emissions. The case in this article is the flow shop dependent sequence set-up. This journal proposes a new Ant Lion Optimizer (ALO) algorithm inspired by nature to minimize carbon emissions. Several numerical experiments were conducted to determine the best parameters of the ALO algorithm. This ALO algorithm is compared with several popular algorithms today. The numerical experiment results show that the ALO algorithm is useful for minimizing carbon emissions.

LPT-Branch and Bound Algorithm in Flexible Flowshop Scheduling to Minimize Makespan Dana Marsetiya Utama
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.1527

This article discussed the problem of flow shop scheduling to minimize the makespan. The purpose of this article is to develop the LPT and Branch And Bound (LPT-Branch And Bound) algorithms to minimize the makespan. The proposed method is Longest Processing Time (LPT) and Branch And Bound. Stage settlement is divided into 3 parts. To proved the proposed algorithm, a numerical experiment was conducted by comparing the LPT-LN algorithm. The result of the numerical experiment shows that LPT-Branch And Bound's proposed algorithm is more efficient than the LPT-LN algorithm.

Penguatan Aspek Manajemen Produksi dan Kualitas Tempe Pada UKM Tempe Dana Marsetiya Utama
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 3 NOMOR 1 MARET 2019 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Kegiatan ini dilaksanakan di Kelurahan Bakalankrajan Kecamatan Sukun Kota Malang. Mitra dari kegiatan PKM ini adalah UKM tempe “Londho”. Masalah yang terjadi di mitra adalah usaha belum membuat standart prosedur produksi yang jelas. Sehingga terkadang kualitas tempe tidak terjaga. Kegiatan ini bertujuan meningkatkan manajemen produksi dan kualitas usaha pada industri tempe di Kelurahan Bakalankrajan Kecamatan Sukun Kota Malang. Metode pelaksanaan kegiatan ini melalui Participatory Rural Apprasial (PRA). Pelaksanaan kegiatan dilakukan dengan pelatihan dan pendampingan manajemen produksi dan kualitas usaha pada industri tempe. Pelatihan diberikan kepada 10 peserta. Materi yang disampaikan pada kegiatan tersebut adalah memberikan gambaran tahapan proses produksi yang baik dan lama proses perebusan kedelai untuk mendapatkan kualitas tempe yang baik.Kesuksesan PKM diukurmelalui peningkatan pengetahuan mitra tentang manajemen produksi dan kualitas usaha pada industri tempe. Hasil pelatihan tersebut menunjukan peningkatan kuantitas produksi, pengetahuan dan keterampilan manajemen produksi dan kualitas usaha industri tempe. Hasil ini menunjukan program PKM efektif untuk meningkatkan kuantitas produksi serta manajemen keuangan usaha.

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

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.

A Novel Hybrid Archimedes Optimization Algorithm for Energy-Efficient Hybrid Flow Shop Scheduling Dana Marsetiya Utama; Ayu An Putri Salima; Dian Setiya Widodo
International Journal of Advances in Intelligent Informatics Vol 8, No 2 (2022): July 2022
Publisher : Universitas Ahmad Dahlan

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

The manufacturing sector accounts for a dominant proportion of global energy consumption. This sector has become the center of attention since the concern of the energy crisis rose. One of the strategies proposed to overcome this issue is implementing appropriate scheduling, such as Hybrid Flow Shop Scheduling. This research aimed to develop a Hybrid Archimedes Optimization Algorithm (HAOA) to solve Energy-Efficient Hybrid Flow Shop Scheduling (EEHFSP). In this research, three stages of EEHFSP are considered in a problem that involves sequence-dependent setup time in the second stage. The removal time also is involved in the second stage. The results indicated that the iteration and the population of HAOA did not affect the removal and processing energy consumptions but affected the setup and idle energy consumptions. The algorithm comparison of ten cases showed that the proposed HAOA resulted in an optimum TEC compared to the other algorithms. The manufacturing sector accounts for a dominant proportion of global energy consumption. This sector has become the center of attention since the concern of the energy crisis rose. One of the strategies proposed to overcome this issue is implementing appropriate scheduling, such as Hybrid Flow Shop Scheduling. This research aimed to develop a Hybrid Archimedes Optimization Algorithm (HAOA) to solve Energy-Efficient Hybrid Flow Shop Scheduling (EEHFSP). In this research, three stages of EEHFSP are considered in a problem that involves sequence-dependent setup time in the second stage. The removal time also is involved in the second stage. The results indicated that the iteration and the population of HAOA did not affect the removal and processing energy consumptions but affected the setup and idle energy consumptions. The algorithm comparison of ten cases showed that the proposed HAOA resulted in an optimum TEC compared to the other algorithms.

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model Dana Marsetiya Utama; Imam Santoso; Yusuf Hendrawan; Wike A. P. Dania
Indonesian Journal of Science and Technology Vol 8, No 2 (2023): (ONLINE FIRST) IJOST: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v8i2.54056

An adequate sustainable production inventory model is expected to represent complex real-life cases involving fuel, emissions, and electricity costs as well as multi-materials, quality degradation, and probabilistic demand. Therefore, this study was conducted to develop this kind of model to determine the number of raw material shipments (), production cycle time (), and the number of finished goods delivered (n) to maximize the Expected Total Profit (ETP). The proposed model is based on a bibliometric literature analysis of the sustainable production-inventory problem which is visualized using the VOSviewer. Moreover, a sophisticated Harris-Hawks Optimization (HHO) algorithm was proposed to solve the problems identified in the sustainable production inventory model optimization. It is also important to note that three numerical cases were provided to evaluate the performance of the algorithm. The findings showed that the suggested HHO method outperforms the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in maximizing ETP and this means it is better for ETP optimization. It was also discovered from the sensitivity analysis that an increase in the rate of quality degradation (k) led to a reduction in both the ETP and T.

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

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.

Pendampingan Manajemen Pemasaran pada Industri Olahan Pertanian di Mojokerto Dana Marsetiya Utama; Teguh Baroto; Arnelia Dwi Yasa
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 3 (2021): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.949 KB)

The "Ria" home industry has experienced many problems in the production and management processes. In the production process, it has limitations in packaging. In addition, the business financial management aspect is still mixed with household finances. Marketing is done traditionally and has not been effective. This PKM program aims to provide assistance in packaging production tools, provide training related to marketing management and product packaging. The method of activities carried out is Focus Group Discussion (FGD) and Participatory Rural Appraisal (PRA) involving partners. The results of this PKM show that the production packaging process runs smoothly with the presence of a modern sealer, participants' knowledge of the Marketing Mix increases, product marketing is carried out offline and online.

Low-carbon no-idle permutation flow shop schedulling problem: giant trevally optimizer vs African vultures optimization algorithm Dana Marsetiya Utama; Cantika Febrita
International Journal of Advances in Applied Sciences Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i3.pp195-204

Greenhouse gas emissions continue to increase due to increased energy consumption. One of the largest emission-contributing sectors is the manufacturing industry. Therefore, the manufacturing industry is required to minimize carbon emissions. One of the efforts to solve the emission problem is to minimize machine downtime throughout the production procedure, which stands for no-idle permutation flowshop scheduling (NIPFSP). This article uses two metaheuristic algorithms, giant trevally optimizer (GTO) and African vultures optimization algorithm (AVOA), to solve the carbon emission problem. Both algorithms are tested on 3 cases with 30 runs for every population and iteration. To compare the outcomes of each algorithm, an independent sample t-test was employed. The results show that the GTO algorithm has better results than the AVOA algorithm on small and large case data. The findings indicate that both the GTO and AVOA algorithms yield comparable results when applied to medium-sized research datasets, suggesting their effectiveness in such scenarios.

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 Masâ€™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

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