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All Journal Jurnal Teknik Industri Jurnal Rekayasa dan Manajemen Sistem Industri Journal of Engineering and Management in Industrial System Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal SOLMA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JAST : Jurnal Aplikasi Sains dan Teknologi JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri International Journal of Industrial Engineering and Engineering Management Go-Integratif : Jurnal Teknik Sistem dan Industri Empowerment: Jurnal Pengabdian Masyarakat

Ikhlasul Amallynda

Universitas Muhammadiyah Malang

Author-ID : 225511

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PENGEMBANGAN ALGORITMA HEURISTIK BERBASIS EARLIEST DUE DATE DAN MINIMUM SLACK TIME UNTUK PENJADWALAN 3-STAGE HFFS/SDST (Studi Kasus: PT. Tlogomas Engineering Plastic Industry - Malang) Amallynda, Ikhlasul; Setyanto, Nasir Widha; Mada Tantrika, Ceria Farela
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 2, No 4 (2014)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.242 KB)

Abstrak Selama ini PT. Tlogomas E.P.I menggunakan pendekatan FCFS dan EDD sebagai acuan dalam menentukan prioritas job dan menyusun jadwal produksi dan lebih sering mengandalkan kemampuan manajerial dari supervisor, sehingga jadwal produksi menjadi tidak menentu. Selain itu jadwal produksi masih dirasa kurang efektif, karena proses produksi PT. Tlogomas E.P.I masih sering mengalami overlap job yang menyebabkan basarnya flow time, earliness time dan tardiness time. Sehingga untuk menyelesaikan permasalahan tersebut, dalam penelitian ini akan dikembangkan dua model algoritma penjadwalan produksi yang diharapkan dapat menjadi alternatif metode yang kompetitif untuk menyelesaikan permasalahan optimasi multi tujuan dan dapat diimplementasikan langsung pada PT. Tlogomas E.P.I. Dalam penelitian ini akan dikembangkan dua model algoritma heuristik yaitu berbasis EDD dan MST, masing-masing dari algoritma tersebut akan dimodifikasi dan diintegrasikan dengan konsep algoritma LPT, dengan memperhatikan routing, precedence, dan SDST. Dari hasil pengujian dan analisis disimpulkan bahwa kedua model algoritma yang dikembangkan sesuai dan dapat diimplementasikan pada sistem produksi PT. Tlogomas E.P.I. dan model algoritma yang paling mendekati optimal untuk periode produksi Januari 2014 adalah model algoritma 1 (algoritma heuristik berbasis Earliest Due Date) Kata kunci : Penjadwalan, HFFS/SDST, multi kriteria, algoritma heuristik earliest due date dan minimum slack time.

The Discrete Particle Swarm Optimization Algorithms For Permutation Flowshop Scheduling Problem Amallynda, Ikhlasul
Jurnal Teknik Industri Vol 20, No 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

In this paper, two types of discrete particle swarm optimization (DPSO) algorithms are presented to solve the Permutation Flow Shop Scheduling Problem (PFSP). We used criteria to minimize total earliness and total tardiness. The main contribution of this study is a new position update method is developed based on the discrete domain because PFSP is represented as discrete job permutations. In addition, this article also comes with a simple case study to ensure that both proposed algorithm can solve the problem well in the short computational time. The result of Hybrid Discrete Particle Swarm Optimization (HDPSO) has a better performance than the Modified Particle Swarm Optimization (MPSO). The HDPSO produced the optimal solution. However, it has a slightly longer computation time. Besides the population size and maximum iteration have any impact on the quality of solutions produced by HDPSO and MPSO algorithmsÂ

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 November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

The Discrete Particle Swarm Optimization Algorithms for Permutation Flowshop Scheduling Problem Ikhlasul Amallynda
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

In this paper, two types of discrete particle swarm optimization (DPSO) algorithms are presented to solve the Permutation Flow Shop Scheduling Problem (PFSP). We used criteria to minimize total earliness and total tardiness. The main contribution of this study was that a new position update method is developed based on the discrete domain because PFSP is represented as discrete job permutations. In addition, this article also comes with a simple case study to ensure that both the proposed algorithm can solve the problem well in a short computational time. Hybrid Discrete Particle Swarm Optimization (HDPSO) has a better performance than the Modified Particle Swarm Optimization (MPSO). The HDPSO produced the optimal solution. However, it has a slightly longer computation time. Besides, the population size and maximum iteration impact the quality of solutions produced by HDPSO and MPSO algorithms.

Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers Elya Rosiana; Annisa Kesy Garside; Ikhlasul Amallynda
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, the use of logistics service providers in companies has become a decision chosen by several companies. Companies use Third Party Logistics (3PL) to focus more on other essential activities in the company. Evaluating the performance of a 3PL provider is an essential process in determining performance of a 3PL provider. A wrong evaluation process could lead to company’s loss. The main objective of this study was to propose a 3PL performance appraisal procedure. This study integrated the Rough method Step-wise Weight Assessment Ratio Analysis (SWARA) and the Complex Proportional Assessment Method (COPRAS) to assess the performance of 3PL providers. The SWARA Rough method was used to assess the ranking of the criteria. The results of the Rough SWARA ranking were utilized by the COPRAS method to assess supplier performance. A case study was conducted in an animal feed production company in Indonesia. The results showed that there were criteria for product safety; on-time delivery, responsiveness, and flexibility with the greatest weight among the 16 criteria used.

The Moth-Flame Optimization Algorithm for Flow Shop Scheduling Problem with Travel Time Ikhlasul Amallynda; Bhisma Hutama
Jurnal Teknik Industri Vol. 22 No. 2 (2021): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol22.No2.224-235

This article examined the flow shop scheduling problem by considering the travel time between machines. The objective function of this problem was to provide a makespan. The Moth Flame Optimization (MFO) algorithm was proposed to solve the flow shop problem. The MFO experiment was carried out with a combination of iteration parameters and the population of the MFO algorithm to solve the flow shop scheduling problem. The computational results showed that MFO could produce a better solution than the actual scheduling method. Furthermore, the MFO Proposal Algorithm was able to reduce the makespan by up to 3%.

A Novel Hybrid Yellow Saddle Goatfish Algorithm for Fuel Consumption Vehicle Routing Problem with Simultaneous Pick-up and Delivery Problem Dana Marsetiya Utama; Ulfa Fitriani; Ikhlasul Amallynda; Rizal Dian Azmi
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.43-66

Currently, the issue of the fuel crisis has become a global concern. The distribution sector is one of the sectors that consume the most significant fuel. Therefore, an effective procedure for fuel energy efficiency is needed to resolve the routing problem. In addition, the vehicle load must be considered in delivery and pickup at each node. This research proposes the novel Hybrid Yellow Saddle Goatfish Algorithm (HYSGA) algorithm to solve the Fuel Consumption Vehicle Routing Problem Simultaneous Pickup and Delivery (FCVRPSPD) problem. The objective function to be achieved was to minimize fuel costs. This study conducted experiments with HYSGA parameters such as the number of Goatfish, iterations, and the number of goatfish clusters to optimize the FCVRPSPD problem. In addition, a sensitivity analysis was presented to examine the effect of the FCVRPSPD variable on fuel costs. This study also compared the proposed algorithm with several state-of-the-art procedures. The results showed that the parameters of the number of Goatfish and the HYSGA iteration affected fuel costs. Furthermore, based on experiments, the proposed algorithm provided a competitive fuel cost compared to other algorithms.

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

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.

Perancangan dan Implementasi Strategi Pemasaran sebagai Upaya dalam Memperluas Pangsa Pasar dan Meningkatkan Volume Penjualan Produk Olahan Ikan Dapur L’Rose Ikhlasul Amallynda; Shanty Kusuma Dewi
Empowerment: Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2022): JANUARI 2022
Publisher : Pusat Riset Manajemen dan Publikasi Ilmiah Serta Pengembangan Sumber Daya Manusia Sinergi Cendikia

Dapur L'Rose adalah industri kecil yang memproduksi berbagai produk olahan ikan, seperti otak-otak bandeng, bandeng presto, kerupuk ikan, dan lain-lain yang berlokasi di Kalirejo, Lawang, Malang. Meski produk L'Rose Kitchen sudah dikenal banyak orang, namun pemilik usaha mengalami penurunan volume penjualan dan omzet hingga 60% di masa pandemi COVID-19. Hal ini dikarenakan jangkauan pemasaran produk masih sangat terbatas dan hanya mengandalkan media penjualan offline. keterbatasan pengetahuan pemilik usaha tentang penggunaan media sosial. Keterbatasan jangkauan pemasaran produk terutama terlihat di masa pandemi, ketika mobilitas masyarakat sangat dibatasi oleh kebijakan pemerintah tentang PPKM. Program PKM dilakukan dalam bentuk pendampingan intensif, mulai dari tahap perancangan strategi pemasaran hingga implementasi dan pemantauan. hasil implementasi iptek dan strategi yang diusulkan. Berikut adalah tiga prioritas strategi pemasaran yang diusulkan: mendesain ulang kemasan, membuat toko online di platform marketplace, dan menggunakan iptek alat pengemasan berupa mesin vacuum sealer otomatis. Dari hasil pendampingan, mitra layanan mendapatkan peningkatan pengetahuan dan keterampilan dalam memilih teknik dan media promosi offline dan online, merancang kemasan produk yang aman, menarik, dan sesuai standar, serta mampu menggunakan platform marketplace sebagai media untuk promosi dan penjualan produk. Selain itu, dari hasil pantauan dan wawancara dengan pemilik usaha, terjadi peningkatan omzet penjualan sebesar 20-25% selama tiga bulan terakhir karena dengan menggunakan media marketplace jangkauan pemasaran menjadi lebih luas. Selain itu, dengan menggunakan desain kemasan baru, produk bisa memiliki umur simpan yang lebih lama.

Peningkatan Kualitas Minuman Sari Lidah Buaya pada Usaha Muztaqbalah Malang Ikhlasul Amallynda; Annisa Kesy Garside; Nadia Mardhiyah
JAST : Jurnal Aplikasi Sains dan Teknologi Vol 5, No 1 (2021): EDISI JUNI 2021
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v5i1.2351

Muztaqbalah is a small business located in Jetis, Dau, Malang Regency that manufactures aloe vera extract beverages. The problem faced by Small and Medium Enterprises (SME) is that the shelf life of aloe vera products is short, although sodium benzoate has been added. In addition, consumers want a fresher taste in aloe vera extract beverages. Based on the problems faced by Muztaqbalah's business, this program aims to help business owners improve the quality of aloe vera extract beverages. After consulting and mentoring, it is suggested to add additional stages in the manufacturing process, soaking in saltwater, filtering before the aloe vera meat is blended, and sterilizing bottles or cups before packaging. Based on the results of the Total Plate Count (TPC) analysis, the proposed preservative additive is citric acid because it has a longer shelf life than lime.ABSTRAKUsaha Muztaqbalah merupakan usaha kecil pembuat minuman sari lidah buaya yang terletak di Jetis, Dau, Kabupaten Malang. Permasalahan yang dihadapi oleh UKM adalah umur simpan produk minuman sari lidah buaya belum bertahan lama meski sudah ditambahkan bahan natrium benzoat. Selain itu konsumen menginginkan rasa yang lebih segar pada minuman sari lidah buaya. Berdasarkan permasalahan yang dihadapi oleh usaha Muztaqbalah, maka tujuan program pengabdian ini adalah membantu pemilik usaha untuk meningkatkan kualitas minuman sari lidah buaya. Setelah melakukan konsultasi dan pendampingan diusulkan penambahan tahapan dalam proses pembuatan yaitu perendaman dengan air garam, penyaringan sebelum daging lidah buaya diblender dan sterilisasi kemasan botol atau cup sebelum pengemasan. Berdasarkan hasil analisis Total Plate Count (TPC) maka bahan tambahan pengawet yang diusulkan adalah asam sitrat karena memiliki umur simpan yang lebih lama dibanding jeruk nipis.

Co-Authors Alfian Alif Anindya Apritha Putri Annisa Kesy Garside Baiq Nurul Izzah Farida Ramadhani Bhisma Hutama Bianca Maharani Ceria Farela Mada Tantrika Dana Marsetya Utama Devisa Restiana Wati Elya Rosiana Fibriani, Lenny Lapele, Sukmawati Lukman, Mohammad Muhamad Lukman Nadia Mardhiyah Nasir Widha Setyanto Putri, Anindya Apritha Risma, Yolanda Mega Rizal Dian Azmi Shanty Kusuma Dewi Tyas Yuli Rosiani Ulfa Fitriani Utama, Dana Marsetiya Utama Wicaksono, Erwin

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