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All Journal Jurnal Teknik Industri Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Sistem dan Manajemen Industri JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya Journal of Halal Science and Research
Amelia Khoidir
Universitas Muhammadiyah Malang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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 1 
A Genetic Algorithm for Solving Periodic Heterogeneous Vehicle Routing Problem Amelia Khoidir; Annisa Kesy Garside
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.No1.31-42

Abstract

This paper addresses the periodic heterogeneous vehicle routing problem (PHVRP), an extension of the classical vehicle routing problems (VRP). This problem is known to be confined to various real-world instances where each customer's demand should be served within a specific time horizon and a maximum demand quantity that can be delivered at each visit. The heterogeneous capacitated vehicles are available to perform the services for each customer. This paper aims to minimize the total traveling time of routes for all vehicles over the time horizon so that the customers' demands can be delivered. Thus, a novel coding scheme is also proposed to directly convert a random sequence of integers into a feasible solution, which is then embedded into algorithms. Furthermore, this paper also compares the performance of the Genetic Algorithm (GA) with the particle swarm optimization algorithm (PSO). The numerical results of the experiments show that the proposed GA is superior to PSO. However, the computation time of PSO is faster than GA.
Telecommunication service quality analysis using integration of SIPA and modified Kano Hanny Kanavika Rizky Munawar; Annisa Kesy Garside; Adhi Nugraha; Amelia Khoidir
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5530

Abstract

This article investigates the integrated approach of the Simultaneous Impor­tance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strate­gies. This article contributes by highlighting the potential of the proposed ap­proach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a con­stantly evolving market.
Economic production quantity model with defective items, imperfect rework process, and lost sales Chusnul Aprilianti; Annisa Kesy Garside; Amelia Khoidir; Thomy Eko Saputro
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7580

Abstract

This study proposes an economic production quantity (EPQ) model that comprehensively addresses scrap items, imperfect quality items, rework processes, and shortages. The model incorporates various types of defective items, including scrap, imperfect quality, and rework able items, and implements immediate rework processes upon the completion of regular production. Shortages are treated as lost sales, enhancing the accuracy of inventory cost estimations. Numerical experiments demonstrate the opti­mal­ity of production lot sizes and underscore the impact of production and demand rate adjustments on overall inventory costs. Sensitivity analysis further elucidates the influence of imperfect quality items on inventory costs. This EPQ model offers a comprehensive approach to efficient and effective finished product inventory management by integrating consider­ations for scrap items, imperfect quality items, and rework processes. Addi­tionally, a furniture manufacturing company case is presented to illustrate the practical application of the proposed model.
Usulan Peningkatan Efektivitas Mesin Hammer Milling dengan Metode ORE dan FMECA Fuad Bahrul Ilmi; Annisa Kesy Garside; Amelia Khoidir; Rahmad Wisnu Wardana
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 10 No. 1 (2024): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v10i1.8189

Abstract

PT. X adalah bagian dari Kappa Group, sebuah bisnis terintegrasi dalam industri rumput laut Indonesia. Salah satu masalah dalam produksi di PT. X adalah mesin hammer milling sering mengalami downtime sehingga menurunkan efektivitas mesin tersebut. Tujuan dari penelitian ini adalah mengukur efektivitas dan memberikan usulan untuk meningkatkan efektivitas mesin hammer milling. Langkah-langkah penelitian terdiri dari pengukuran efek­­­tivitas mesin dengan metode Overall Resource Effectiveness (ORE), identifikasi faktor penyebab rendahnya efektivitas mesin dengan fishbone diagram, perhitungan tingkat kekritisan mode kegagalan dengan Failure Mode Effect and Critical Analysis (FMECA), dan pemberian usulan peningkatan efektivitas mesin berdasarkan critical analysis. Hasil pengolahan data didapatkan nilai ORE sebesar 55,95% yang menunjukkan efektivitas mesin hammer milling cukup baik dan terdapat beberapa indikasi yang perlu dilakukan perbaikan. Usulan peningkatan efektivitas mesin yang direkomen­dasikan adalah penentuan tingkat persediaan suku cadang original dengan menggunakan metode continuous review, preventive maintenance berdasarkan jadwal perawatan yang ditetap­kan, dan implementasi autonomous maintenance.
Halal sustainable supplier selection using an integrated F-AHP and F-TOPSIS approach: A case study in the meat supply chain in Malang Khoidir, Amelia; Bili, Ferderikus Ama; Rahmasari, Dewi
Journal of Halal Science and Research Vol. 6 No. 2 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jhsr.v6i2.12911

Abstract

The halal meat supply chain faces unique challenges, including strict halal certification requirements, sustainability concerns, and the need for advanced traceability systems. Small and medium-sized enterprises (SMEs) frequently struggle to comply owing to financial and technological constraints. This study aims to construct a structured decision-making framework for selecting halal sustainable meat suppliers by combining the Fuzzy Analytical Hierarchy Process (F-AHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). F-AHP is used to define the evaluation criteria, build the hierarchical structure, and compute the relative weights using expert pairwise comparisons. Moreover, F-TOPSIS is used to evaluate suppliers, normalize the decision matrix, discover positive and negative ideal solutions, and compute the closeness coefficient to produce the final ranking. The results show that halal compliance is the most critical factor in supplier selection, with halal certification and product quality as the top priorities. The proposed framework provides a systematic approach to integrating halal and sustainability principles in supplier evaluation, supporting supply chain managers in making informed decisions while upholding worldwide halal and ecological requirements. Keywords: F-AHP, F-TOPSIS, Halal compliance, Halal sustainable supply chain, Meat industry, Supplier selection.
Telecommunication service quality analysis using integration of SIPA and modified Kano Munawar, Hanny Kanavika Rizky; Garside, Annisa Kesy; Nugraha, Adhi; Khoidir, Amelia
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5530

Abstract

This article investigates the integrated approach of the Simultaneous Impor­tance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strate­gies. This article contributes by highlighting the potential of the proposed ap­proach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a con­stantly evolving market.
Economic production quantity model with defective items, imperfect rework process, and lost sales Aprilianti, Chusnul; Garside, Annisa Kesy; Khoidir, Amelia; Saputro, Thomy Eko
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7580

Abstract

This study proposes an economic production quantity (EPQ) model that comprehensively addresses scrap items, imperfect quality items, rework processes, and shortages. The model incorporates various types of defective items, including scrap, imperfect quality, and rework able items, and implements immediate rework processes upon the completion of regular production. Shortages are treated as lost sales, enhancing the accuracy of inventory cost estimations. Numerical experiments demonstrate the opti­mal­ity of production lot sizes and underscore the impact of production and demand rate adjustments on overall inventory costs. Sensitivity analysis further elucidates the influence of imperfect quality items on inventory costs. This EPQ model offers a comprehensive approach to efficient and effective finished product inventory management by integrating consider­ations for scrap items, imperfect quality items, and rework processes. Addi­tionally, a furniture manufacturing company case is presented to illustrate the practical application of the proposed model.
Pelatihan Petani Milenial PCPM Dau di Desa Mulyoagung dalam Mengelola Kesehatan Tanaman pada Selada Hidroponik melalui Inovasi Larutan Nutrisi Padhina Pangestika; Radhityas Kharisma Nuryasinta; Amelia Khoidir; Dew Laura Pasha; Muhammad Ilyas
JAST : Jurnal Aplikasi Sains dan Teknologi Vol 10, No 1 (2026): EDISI JUNI 2026
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v10i1.8775

Abstract

This community service program was motivated by problems faced by millennial farmers of PCPM Dau in hydroponic lettuce cultivation, including the high incidence of tip burn, suboptimal monitoring of nutrient solution pH and EC, and weak product branding and digital marketing. This program aimed to strengthen partners’ capacity in managing hydroponic lettuce plant health through nutrient formula innovation based on calcium and magnesium balance, nutrient solution monitoring, product identity development, and digital marketing enhancement. The methods included community education, training, science and technology diffusion, mentoring, and evaluation. The activity was conducted in Mulyoagung Village, Dau District, Malang Regency, involving 10 millennial farmers of PCPM Dau who manage an NFT hydroponic system. The results showed that the application of the nutrient formula and pH and EC monitoring reduced tip burn incidence from 30–40% to less than 10%. Marketable yield increased from 10–20 kg per cycle to 20–30 kg per cycle. In addition, the partners developed a product brand identity and began utilizing social media as a digital marketing platform. This program demonstrates that integrating nutrient innovation, branding, and digital marketing can serve as an applicable mentoring model for developing more productive and competitive millennial hydroponic farming.ABSTRAKKegiatan pengabdian kepada masyarakat ini dilatarbelakangi oleh permasalahan yang dihadapi petani milenial PCPM Dau dalam budidaya selada hidroponik, yaitu tingginya kejadian tip burn, belum optimalnya monitoring pH dan EC larutan nutrisi, serta belum kuatnya branding dan pemasaran digital produk. Tujuan kegiatan ini adalah meningkatkan kapasitas mitra dalam mengelola kesehatan tanaman selada hidroponik melalui inovasi formula nutrisi berbasis keseimbangan kalsium dan magnesium, monitoring larutan nutrisi, serta penguatan identitas produk dan pemasaran digital. Metode kegiatan meliputi pendidikan masyarakat, pelatihan, difusi ipteks, pendampingan, dan evaluasi. Kegiatan dilaksanakan di Desa Mulyoagung, Kecamatan Dau, Kabupaten Malang, dengan melibatkan 10 petani milenial PCPM Dau yang mengelola sistem hidroponik NFT. Hasil kegiatan menunjukkan bahwa penerapan formula nutrisi dan monitoring pH serta EC mampu menurunkan kejadian tip burn dari 30–40% menjadi kurang dari 10%. Hasil panen layak jual meningkat dari 10–20 kg per siklus menjadi 20–30 kg per siklus. Selain itu, mitra mulai memiliki identitas merek produk dan memanfaatkan media sosial sebagai sarana pemasaran digital. Kegiatan ini menunjukkan bahwa integrasi inovasi nutrisi, branding, dan pemasaran digital dapat menjadi model pendampingan aplikatif bagi pengembangan pertanian hidroponik milenial yang lebih produktif dan berdaya saing.
SC-Literature Intelligence: A Retrieval-Augmented Generation Framework for Multi-Category AI Literature Synthesis in Supply Chain Setio Basuki; Amelia Khoidir; Muhammad Ilham Perdana; Muhammad Daffa Nugraha; Masatoshi Tsuchiya
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16477

Abstract

This paper develops SC-Literature Intelligence, a retrieval-augmented generation (RAG) framework for research synthesis of scientific literature on artificial intelligence (AI) in the supply chain domain. The study addresses the fragmentation of scientific findings, which makes cross-document understanding difficult by supporting four categories of literature-analysis queries: trend analysis, gap detection, comparative synthesis, and evidence-based question answering (QA). The primary novelty lies in introducing a category-aware research synthesis framework capable of evaluating RAG performance across multiple literature-analysis tasks rather than conventional question answering. The framework is built from Scopus-indexed abstracts through pre-processing, chunk-based embedding using BGE-M3 and LaBSE, vector storage, semantic retrieval, and prompt-guided generation evaluated using the RAGAS framework across 640 experimental runs. The results show that BGE-M3 consistently outperforms LaBSE on all RAGAS indicators with the best configuration (chunk size 64, Top-K 5) achieving scores between 0.722 and 0.856 across faithfulness, answer relevancy, context precision, and context recall. Gap detection emerges as the best-supported query category, whereas comparative synthesis remains the most challenging. Failure analysis further reveals that retrieval-stage issues dominate over generation-stage issues, identifying embedding quality as the primary bottleneck. These findings demonstrate that category-aware RAG-based synthesis can support structured, evidence-grounded literature analysis in the supply chain AI domain.
Co-Authors Adhi Nugraha Adhi Nugraha Annisa Kesy Garside Aprilianti, Chusnul Basuki, Setio Bili, Ferderikus Ama Chusnul Aprilianti Dew Laura Pasha Fuad Bahrul Ilmi Hanny Kanavika Rizky Munawar Masatoshi Tsuchiya Muhammad Daffa Nugraha Muhammad Ilham Perdana Muhammad Ilyas Munawar, Hanny Kanavika Rizky Padhina Pangestika Radhityas Kharisma Nuryasinta Rahmad Wisnu Wardana Rahmasari, Dewi Thomy Eko Saputro