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All Journal Jurnal Teknik Industri Jurnal Gamma Jurnal Rekayasa Sistem Industri SPEKTRUM INDUSTRI Journal of Engineering and Management in Industrial System Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal SOLMA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Buletin Profesi Insinyur JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri JURNAL TEKNIK INDUSTRI Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE)
Annisa Kesy Garside
Fakultas Teknik, Jurusan Teknik Industri, Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Intuitionistic Fuzzy AHP and WASPAS to Assess Service Quality in Online Transportation Annisa Kesy Garside; Rara Putri Ayuning Tyas; Rahmad Wisnu Wardana
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (140.03 KB) | DOI: 10.25077/josi.v22.n1.p38-51.2023

Abstract

Indonesia is currently entering a new normal era; this requires people to adapt to the clean-living habit in accordance with health standards in order to carry out normal activities. At the same time, online transportation services have reopened for activity. The service quality provided by online ride-hailing companies (i.e., ojek) such as Gojek, Grab, and Maxim must now consider matters relating to user safety. This study proposes Multi Criteria Decision Making (MCDM) as a method for assessing the service quality of online transportation service providers and uses the Pandemic-SERVQUAL 4.0 model. Pandemi-SERVQUAL 4.0 model adds two new criteria, namely "pandemic" and "industry 4.0". The addition of two new criteria that are more relevant to the current circumstances will increase the accuracy of the research. This study aims to propose the integration of Interval Valued Intuitionistic Fuzzy Analytical Hierarchy Process (IVIF-AHP) to determine the criteria weight and Interval Valued Intuitionistic Fuzzy Weighted Aggregated Sum-Product Assessment (IVIF-WASPAS) to assess the service quality of several online transportation service providers based on the obtained criteria weights. From the results of the service quality assessment using the integration of IVIF-AHP and IVIF-WASPAS, the ranking of online transportation service providers during the new normal era were Grab-car, Go-car, and Maxim-car.
Integration of Analytic Network Process and PROMETHEE in Supplier Performance Evaluation Muhammad Alif Ihsan; Annisa Kesy Garside; Rahmad Wisnu Wardana
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in April 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n1.p46-54.2022

Abstract

Supplier performance evaluation is one of the important factors in the supply chain because it is one of the company's strategies for increasing customer satisfaction and also maintaining the company's services in meeting consumer demand. This study proposes the integration of the Analytic Network Process (ANP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to evaluate supplier performance. The integration of the two methods is proposed to obtain more complex assessment results because the combination of the two methods considers various criteria derived from ANP and various preferences from PROMETHEE, so both methods are very good to use instead of using just ANP or PROMETHEE or other methods. ANP exhibit more complex relationships between criteria and levels in the decision hierarchy, while PROMETHEE provides decision-makers with flexible and straightforward outranking to analyze multi-criteria problems. In this study, ANP is used to weight the criteria, and PROMETHEE is used to rank suppliers in evaluating supplier performance. Integrating these two methods provides more objective and accurate results in multi-criteria decision-making. The proposed method is validated by solving an industrial case of supplier evaluation problem using the real data from the skewer industry. Finally, some useful implications for managerial decision-making are discussed.
Particle Swarm Optimization Algorithm to Solve Vehicle Routing Problem with Fuel Consumption Minimization Baiq Nurul Izzah Farida Ramadhani; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in April 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.048 KB) | DOI: 10.25077/josi.v20.n1.p1-10.2021

Abstract

The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total vehicles’ traveling distance. Since the fuel cost is a relatively high component of transportation costs, in this study, the objective function of VRP has been extended by considering fuel consumption minimization in the situation wherein the loading weight and traveling time are restricted. Based on these assumptions, we proposed to extend the route division procedure proposed by Kuo and Wang [4] such that when one of the restrictions can not be met the routing division continues to create a new sub-route to find an acceptable solution. To solve the formulated problem, the Particle Swarm Optimization (PSO) algorithm is proposed to optimize the vehicle routing plan. The proposed methodology is validated by solving the problem by taking a particular day data from a bottled drinking water distribution company. It was revealed that the saving of at best 13% can be obtained from the actual routes applied by the company.
Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika Dana Marsetiya Utama; Leo Rizki Ardiansyah; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v18.n2.p133-141.2019

Abstract

Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.
Pengurangan Bullwhip Effect dengan Metode Vendor Managed Inventory Fenny Rubbayanti Dewi; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p292-298.2015

Abstract

Information distortion caused PT Multi Sarana Indotani got higher demand than the distributor. Demand variability in each echelon of the supply chain (bullwhip effect) may occur due to lack of demand stability that the producer had difficulty in determining the amount of production. One of the collaboration methods that can be applied to overcome the information distortion as causes of the bullwhip effect is vendor managed inventory, where the needs of distributor and retailers monitored and controlled by the producer. In this case, vendor managed inventory applied to two echelons, producer, and distributor.
Penyelesaian Heterogenous Fleet Vehicle Routing Problem with Time Windows Menggunakan Algoritma Sequential Insertion Marrica Ahmad; Annisa Kesy Garside
JURNAL TEKNIK INDUSTRI Vol. 12 No. 1 (2022): VOLUME 12 NO 1 MARET 2022
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v12i1.13960

Abstract

Intisari— PT Sarwa Jaya Bersama merupakan distributor bihun jagung yang berlokasi di Surabaya. Dalam mendistribusikan produk tersebut, retail memiliki jam buka dan tutup dan kendaraan yang digunakan memilki kapasitas yang berbeda-beda. Permasalahan rute yang dihadapi perusahaan adalah kendaraan kadang-kadang datang terlambat sehingga pengiriman harus dijadwalkan ulang. Selain itu pemilihan kendaraan yang tepat untuk mengunjungi retail akan mempengaruhi total biaya bahan bakar yang dikeluarkan. Untuk menyelesaikan permasalahan perusahaan, penelitian ini mengusulkan penentuan rute dengan menggunakan algoritma sequential insertion. Dengan menggunakan algoritma ini, terbentuk 3 rute dengan jarak tempuh yang lebih minimum dan kedatangan kendaraan berada pada jam buka dan tutup pada masing-masing retail. Penghematan biaya bahan bakar dengan rute usulan sebesar 45,31% atau sejumlah Rp 254.720. Abstract— PT Sarwa Jaya Bersama is a distributor of corn vermicelli located in Surabaya. In distributing these products, retailers have opening and closing hours and the vehicles used have different capacities. The route problem faced by the company is that vehicles sometimes arrive late so deliveries must be rescheduled. In addition, the selection of the right vehicle to visit the retail will affect the total fuel costs incurred. To solve the company's problems, this research proposes determining the route by using sequential insertion algorithm. By using this algorithm, 3 routes are formed with a minimum mileage and vehicle arrivals are at the opening and closing hours of each retail. The fuel cost savings with the proposed route is 45.31% or Rp 254,720.
Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM Garside, Annisa Kesy; Rosiani, Tyas Yuli; Amanda, Adelya; Saputro, Thomy Eko; e Oliveira, Eduardo
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.955 KB) | DOI: 10.25077/josi.v23.n2.p188-206.2024

Abstract

Sustainable manufacturing has emerged as a critical priority in addressing the complex environmental, social, and economic challenges of modern industry. This study focuses on the plywood sector, a significant contributor to manufacturing, which faces distinct sustainability issues such as high energy consumption, material inefficiencies, and hazardous working conditions. To address these challenges, the research introduces workload and noise level as critical indicators for assessing sustainability, broadening the scope of traditional evaluation methods. A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traffic Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). Applied to a plywood manufacturing case study, the framework highlighted areas requiring improvement, particularly in worker well-being and operational safety, while demonstrating the industry's moderate overall efficiency. By offering actionable insights for improving resource use, operational processes, and employee conditions, this framework provides a practical tool for industry managers aiming to enhance sustainability. Furthermore, its adaptability makes it a valuable reference for other manufacturing sectors seeking to implement resource-efficient and sustainable practices. This research not only fills critical gaps in sustainability assessment but also contributes to advancing industry practices by emphasizing holistic and innovative approaches to manufacturing efficiency.
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.
Co-Authors Adhi Nugraha Adhi Nugraha Ahmad Zamawi Ghozali Alfian Alif Amanda, Adelya Amelia Khoidir ANDRI SULAKSMI ANDRI SULAKSMI, ANDRI Anindia Karunia Pangesti Aprilianti, Chusnul Baiq Nurul Izzah Farida Ramadhani Baiq Nurul Izzah Farida Ramadhani Baya’sud, Faris Cahyanti, Dian Nur Chusnul Aprilianti Dana Marsetya Utama Dian Nur Cahyanti Dian Palupi Restuputri Dovian Iswanda e Oliveira, Eduardo Ella Dewi Krisnanti Elya Rosiana Fenny Rubbayanti Dewi Fibriani, Lenny FITHRIANY HADZIQAH FITHRIANY HADZIQAH, FITHRIANY Fitra Risaldi Fuad Bahrul Ilmi Gigih Amayu Pragastio Hamim Rachman Hanny Kanavika Rizky Munawar Harto, Setyo Hasyim Yusuf Asjari Hasyim Yusuf Asjari, Hasyim Yusuf Heri Mujayin Kholik Ikhlasul Amallynda Ikhlasul Amalynda Laili, Nabila Rohmatul Lapele, Sukmawati Leo Rizki Ardiansyah Lukman, Mohammad Marrica Ahmad Marrica Ahmad Martina Juan Martina Juan, Martina Muhamad Lukman Muhammad Alif Ihsan Muhammad Helmi Kurniawan Munawar, Hanny Kanavika Rizky Nabila Rohmatul Laili Nadia Mardhiyah Nasution, Riven Nyimas Mirnayanti Jayasari Sutadisastra Ode Rapija Gunarimba Waibo Pangesti, Anindia Karunia R. Hadi Wahyuono R. Hadi Wahyuono Rachman, Hamim Rahmad Wisnu Wardana Rara Putri Ayuning Tyas Renggarsari, Rika Risma Riven Nasution Sabrina Legtria Wardani Safitri, Wa Ode Nadhilah Sanjaya, Wahyu Eka Putra Satya Sudaningtyas Satya Sudaningtyas Selsa Ulfia Siswanti Setyo Harto Shanty Kusuma Dewi Teguh Baroto Thomy Eko Saputro Tiananda Widyarini Tiananda Widyarini Tyas Yuli Rosiani Wahyu Wicaksono