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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
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Pendampingan dalam Implementasi Strategi Pemasaran Produk Olahan Susu Sapi Annisa Kesy Garside; Ikhlasul Amallynda
Jurnal SOLMA Vol. 9 No. 2 (2020)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v9i2.5169

Abstract

Usaha Bunda is a small home industry producing several cow’s milk processed products located at Maron village, Pujon Kidul, Malang. The challenge faced by this owner is the marketing aspect to define the right marketing strategy to expand the coverage and increase competitiveness. The goal of this community dedication is to help formulating and implementing the marketing strategy for the Usaha Bunda home industry. The approach is advocation in the form of assistance. Several strategy proposed was consignation with several gift shops and tourist attraction, redesign the product packaging, and creating an online shop. The outcome of assistance in marketing strategy implementation was the owner’s better understanding on the knowledge and skill of product packaging and online marketing. Additionally, the owner also confirmed that there has been an omzet increase of 1.5 to 2 times as the result of the new packaging. The online shop opened at Tokopedia marketplace also helps to expand the product promotion and market coverage without geographical and time limitation.
Solving Capacitated Vehicle Routing Problem Using Football Game Algorithm Alfian Alif; Annisa Kesy Garside; Ikhlasul Amallynda; Baiq Nurul Izzah Farida Ramadhani
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.v21i1.15812

Abstract

The Capacitated Vehicle Routing Problem (CVRP) plays an important role in the logistics transportation sector. Determining the proper route will reduce the company's operational costs. In CVRP, a number of vehicles have a capacity limit that can serve all customers. This research completes a real case study on a bottled drinking water company where the company still uses the subjective method of the driver to determine the transportation route. Based on the conditions in the company, the selection of the best route will consider vehicle capacity and demand to determine the shortest route. The execution of this case study uses the Football Game Algorithm (FGA) which was first initiated by Fadakar Ebrahimi which proved promising and had the strongest performance in all cases. FGA is expected to be able to determine the shortest distribution route from the existing cases to reduce the distribution costs incurred. This study takes data from 4 days of delivery that served 78 customers. The average daily transportation cost savings result is 42%. This amount indicates that the FGA algorithm is effective for completing a real case study in CVRP.
A No-Idle Flow Shop Scheduling using Fire Hawk Optimizer to Minimize Energy Consumption Devisa Restiana Wati; Ikhlasul Amallynda
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.No1.65-80

Abstract

The current energy crisis is a pressing global challenge, with the industrial sector accounting for half of global energy consumption. Scheduling is considered one of the potential methods to reduce energy consumption. This article introduces the Fire Hawk Optimizer (FHO) algorithm to solve the no-idle flow shop scheduling problem to minimize overall energy consumption. FHO organizes the job sequence in no-idle flow shop scheduling for reduce energy consumption. This research investigates the use of different machine speed levels, namely slow, fast, and normal, based on case data of manufacturing industries in Indonesia. The results of this study compare the performance of the FHO algorithm with the Adaptive Integrated Greedy (AIG) heuristic method and compare it with the Grey Wolf Optimizer (GWO) algorithm. The experimental results showed that total energy consumption tends to be high when processed at high speed. Conversely, low-speed results in lower energy consumption but requires longer processing time. The comparison results show that the Fire Hawk Optimizer is more efficient in reducing total energy consumption than the AIG heuristic method. Meanwhile, the FHO algorithm performs comparably to the GWO algorithm and completes enumeration. These findings confirm that the proposed procedure can be an alternative to the scheduling optimization process.
LEAN SIX SIGMA APPROACH TO IMPROVE THE PRODUCTION PROCESS IN THE GARMENT COMPANY: A CASE STUDY Fibriani, Lenny; Garside, Annisa Kesy; Amallynda, Ikhlasul
JEMIS (Journal of Engineering & Management in Industrial System) Vol 11, No 2 (2023)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2023.011.02.7

Abstract

A company engaged in the garment industry is facing problems that inhibit the production process. These problems comprise an excess of product defects beyond the specified limits, a considerable rate of product returns, delays in product shipment, and disorderly arrangements in storing raw material. This study aims to determine the root causes of problems and provide recommendations for improvement using the concept of lean six sigma. The waste assessment model is used to identify the dominant waste, while the value stream analysis tools is a method used to analyze the causes of the dominant waste. From the research results, four dominant wastes are identified, namely waste defects, unnecessary inventory, waiting and unnecessary motion, with percentages of 27.02%, 15.92%, 14.32% and 14.0% respectively. The results of the analysis using mapping tools show the details of waste in each dominant waste. Proposed recommendations for improvement are made using the failure mode and effect analysis based on the highest risk priority number for each dominant waste. The recommendations proposed by the researchers include implementing a standard operating procedure and work instruction for the sewing process; scheduling machine maintenance using reliability centered maintenance II; planning and scheduling materials using material requirement planning; implementing line balancing; and designing name tags, visual displays, and storage rack layout.
Strategi Peramalan dan Pengendalian Persediaan Suku Cadang di Industri Pengolahan dan Importir Kayu Lapis Amallynda, Ikhlasul; Wicaksono, Erwin
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol. 5 No. 01 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i01.12005

Abstract

PT. XYZ is a plywood product manufacturer and exporter. Currently, spare parts inventory management is still done intuitively based on data about previous periods' spare parts needs. As a result, when spare components are required, there is sometimes a shortage. Spare parts inventory management is a challenging subject because it necessitates a quick response to limit damage time and the risk of production machine part obsolescence. Furthermore, spare parts have a distinct demand pattern in which demand does not arise at the same time every time and has a large variance. As a result, it can be classified as intermittent or lumpy demand. So, in this study, spare parts inventory control will be explored, beginning with the classification of spare parts using the ADI-CV approach. The simple moving average approach, single exponential smoothing, Croston's method, Syntetos-Boylan approximation (SBA), and Montecarlo simulation are used to estimate the need for spare components. The performance of forecasting systems is compared by taking five metrics of accuracy into account: A-MAPE, ME, and MSE. The periodic review approach will be used to calculate a safety stock, reorder point, and optimal order quantity based on the results of the best forecast of demands.
Assessment Model of Halal Good Manufacturing Practice in Bakery SMEs Lapele, Sukmawati; Garside, Annisa Kesy; Amallynda, Ikhlasul; Lukman, Mohammad
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 13, No 1 (2024)
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.industria.2024.013.01.2

Abstract

AbstractBakery products are in great demand among Indonesians today. Therefore, small and medium enterprises (SMEs) of bakeries have an essential role in creating products that are guaranteed to be halal and safe, following regulations in Indonesia. This research aims to design a Halal Good Manufacturing Practice (HGMP) assessment model for “X” Bakery to improve product quality. HGMP integrates the criteria of Indonesia's Halal Assurance System, called Sistem Jaminan Produk Halal (SJPH), and Good Manufacturing Practices (GMP). The Quality Function Deployment (QFD) method evaluates company performance based on HGMP criteria and translates it into technical responses. The Pareto diagram determines the priority of HGMP criteria and technical responses. The identification results show 56 valid HGMP criteria for “X” Bakery, consisting of location and environment, buildings, facilities, employees, production, and storage. Implementing the assessment model at “X” Bakery resulted in 40 HGMP criteria that needed improvement and 12 technical responses that needed to be prioritized in meeting the HGMP criteria. This HGMP assessment model is hoped to help “X” Bakery improve the quality of halal, safe, high-quality products.Keywords: assesment model, bakery, good manufacturing practice, halal, quality function deployment AbstrakBakery merupakan salah satu produk pangan yang banyak diminati masyarakat Indonesia saat ini. Oleh karena itu, Usaha Kecil dan Menengah (UKM) bakery memiliki peran penting dalam menghasilkan produk yang terjamin kehalalan dan keamanannya sesuai dengan regulasi yang berlaku di Indonesia. Penelitian ini bertujuan untuk merancang model asesmen Halal Good Manufacturing Practice (HGMP) pada Bakery “X” dalam meningkatkan kualitas produk. HGMP mengintegrasikan kriteria Sistem Jaminan Produk Halal (SJPH) dan Good Manufacturing Practice (GMP). Metode Quality Function Deployment (QFD) digunakan untuk mengevaluasi kinerja perusahaan berdasarkan kriteria HGMP dan menerjemahkannya ke dalam respon teknis. Diagram Pareto digunakan untuk menentukan prioritas kriteria HGMP dan respon teknis. Hasil identifikasi menunjukkan 56 kriteria HGMP yang valid untuk Bakery “X” yang terdiri dari aspek lokasi dan lingkungan, bangunan, fasilitas, karyawan, produksi, dan penyimpanan. Implementasi model asesmen pada Bakery “X” menghasilkan 40 kriteria HGMP yang perlu ditingkatkan dan 12 respon teknis yang perlu diprioritaskan terlebih dahulu dalam memenuhi kriteria HGMP. Model asesmen HGMP ini diharapkan dapat membantu Bakery “X” dalam meningkatkan kualitas produk yang halal, aman, dan bermutu.Kata Kunci: assesment model, bakery, good manufacturing practice, halal, quality function deployment 
Energy-efficient No-idle Flowshop Scheduling Optimization Using African Vultures Algorithm Risma, Yolanda Mega; Utama, Dana Marsetiya Utama; Amallynda, Ikhlasul
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.8335

Abstract

The issue of energy consumption is currently a major concern globally, especially in the industrial sector, where most of the energy demand comes from the manufacturing sector. To reduce energy consumption, one of the proposed strategies is to reduce the idle time between jobs on machines during the production process, known as No-Idle Permutation Flowshop Scheduling (NIPFSP). This research proposes the application of the African Vultures Optimization Algorithm (AVOA) as a solution to the energy consumption challenge in the case of production scheduling. The algorithm is examined in detail through a series of trials to obtain the most efficient work order in the production schedule, subject to careful setting of iteration and population parameters. The result of implementing the AVOA algorithm is then compared with the method used by the company in a scheduling case. The research findings show that AVOA significantly outperforms the method commonly used by the company, confirming its performance advantage in optimizing energy consumption in the context of production scheduling.
Peningkatan Kualitas Layanan Logistik Melalui Integrasi Model Kano dan Servqual: Studi Kasus pada PT. Pos Gondang, Mojokerto Rosiani, Tyas Yuli; Garside, Annisa Kesy; Ikhlasul Amallynda
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v7i1.6237

Abstract

Persaingan dalam industri logistik yang semakin ketat menuntut penyedia layanan untuk terus meningkatkan kualitas pelayanan agar mampu memenuhi harapan pelanggan. PT. Pos Gondang Mojokerto menghadapi beberapa tantangan dalam memberikan layanan yang memadai, seperti antrian panjang, keterbatasan jam operasional, dan tidak adanya garansi untuk paket yang dikirim. Penelitian ini bertujuan untuk mengukur dan meningkatkan kualitas layanan PT. Pos Gondang melalui integrasi metode Servqual dan Model Kano. Metode Servqual digunakan untuk menghitung kesenjangan antara kinerja pelayanan dengan harapan pelanggan, sedangkan Model Kano mengidentifikasi atribut layanan yang harus diprioritaskan untuk perbaikan. Berdasarkan analisis, terdapat 12 atribut yang memerlukan peningkatan segera, termasuk kecepatan layanan, ketepatan waktu pengiriman, dan kenyamanan fasilitas. Hasil penelitian menunjukkan bahwa implementasi perbaikan pada atribut prioritas tersebut dapat meningkatkan kepuasan pelanggan secara signifikan dan memperkuat posisi kompetitif PT. Pos Gondang di pasar logistik. Implikasi dari penelitian ini memberikan wawasan bagi perusahaan dalam menyusun strategi perbaikan layanan berbasis kebutuhan konsumen, sehingga mampu meningkatkan daya saing di tengah persaingan industri logistik yang dinamis.
LEAN SIX SIGMA APPROACH TO IMPROVE THE PRODUCTION PROCESS IN THE GARMENT COMPANY: A CASE STUDY Fibriani, Lenny; Garside, Annisa Kesy; Amallynda, Ikhlasul
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 11 No. 2 (2023)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2023.011.02.7

Abstract

A company engaged in the garment industry is facing problems that inhibit the production process. These problems comprise an excess of product defects beyond the specified limits, a considerable rate of product returns, delays in product shipment, and disorderly arrangements in storing raw material. This study aims to determine the root causes of problems and provide recommendations for improvement using the concept of lean six sigma. The waste assessment model is used to identify the dominant waste, while the value stream analysis tools is a method used to analyze the causes of the dominant waste. From the research results, four dominant wastes are identified, namely waste defects, unnecessary inventory, waiting and unnecessary motion, with percentages of 27.02%, 15.92%, 14.32% and 14.0% respectively. The results of the analysis using mapping tools show the details of waste in each dominant waste. Proposed recommendations for improvement are made using the failure mode and effect analysis based on the highest risk priority number for each dominant waste. The recommendations proposed by the researchers include implementing a standard operating procedure and work instruction for the sewing process; scheduling machine maintenance using reliability centered maintenance II; planning and scheduling materials using material requirement planning; implementing line balancing; and designing name tags, visual displays, and storage rack layout.
Energy-efficient No-idle Flowshop Scheduling Optimization Using African Vultures Algorithm Risma, Yolanda Mega; Utama, Dana Marsetiya Utama; Amallynda, Ikhlasul
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.8335

Abstract

The issue of energy consumption is currently a major concern globally, especially in the industrial sector, where most of the energy demand comes from the manufacturing sector. To reduce energy consumption, one of the proposed strategies is to reduce the idle time between jobs on machines during the production process, known as No-Idle Permutation Flowshop Scheduling (NIPFSP). This research proposes the application of the African Vultures Optimization Algorithm (AVOA) as a solution to the energy consumption challenge in the case of production scheduling. The algorithm is examined in detail through a series of trials to obtain the most efficient work order in the production schedule, subject to careful setting of iteration and population parameters. The result of implementing the AVOA algorithm is then compared with the method used by the company in a scheduling case. The research findings show that AVOA significantly outperforms the method commonly used by the company, confirming its performance advantage in optimizing energy consumption in the context of production scheduling.
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