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All Journal Jurnal Teknik Industri Jurnal Gamma Jurnal Teknik Industri SPEKTRUM INDUSTRI Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Jurnal Sistem dan Manajemen Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri Jurnal SOLMA JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Buletin Profesi Insinyur JURNAL TEKNIK INDUSTRI Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE)

Annisa Kesy Garside

Fakultas Teknik, Jurusan Teknik Industri, Universitas Muhammadiyah Malang

Author-ID : 268780

Agriculture, Biological Sciences & Forestry Automotive Engineering 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 Public Health Social Sciences Transportation Other

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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 1st October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

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 in October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

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

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.

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 May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

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 | DOI: 10.25077/josi.v22.n1.p38-51.2023

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.

Co-Authors Adhi Nugraha Ahmad Zamawi Ghozali Alfian Alif Amelia Khoidir Amelia Khoidir ANDRI SULAKSMI ANDRI SULAKSMI, ANDRI Anindia Karunia Pangesti Baiq Nurul Izzah Farida Ramadhani Baiq Nurul Izzah Farida Ramadhani Bayaâ€™sud, Faris Cahyanti, Dian Nur Dana Marsetiya Utama Dana Marsetya Utama Dian Nur Cahyanti Dian Palupi Restuputri Dovian Iswanda Ella Dewi Krisnanti Elya Rosiana Fenny Rubbayanti Dewi FITHRIANY HADZIQAH FITHRIANY HADZIQAH, FITHRIANY Fitra Risaldi Gigih Amayu Pragastio Hamim Rachman Hanny Kanavika Rizky Munawar Harto, Setyo Hasyim Yusuf Asjari Hasyim Yusuf Asjari, Hasyim Yusuf Heri Mujayin Kholik Ikhlasul Amallynda Laili, Nabila Rohmatul Leo Rizki Ardiansyah Marrica Ahmad Martina Juan Martina Juan, Martina Muhammad Alif Ihsan Muhammad Helmi Kurniawan 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 Rahmad Wisnu Wardana Rara Putri Ayuning Tyas Riven Nasution Sabrina Legtria Wardani Satya Sudaningtyas Satya Sudaningtyas Setyo Harto Shanty Kusuma Dewi Shanty Kusuma Dewi Shanty Kusuma Dewi, Shanty Kusuma Teguh Baroto Thomy Eko Saputro Tiananda Widyarini Tiananda Widyarini Utama, Dana Marsetya Wa Ode Nadhilah Safitri Wahyu Wicaksono

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