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All Journal Jurnal Optimasi Sistem Industri Applied Industrial Engineering Journal
Rahmad Wisnu Wardana
Universitas Muhammadiyah Malang
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (908.312 KB) | 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.
Analisis Human Reliability untuk Mengurangi Risiko Kecelakaan Kerja Menggunakan Metode SPAR-H dan HEART Risyad Nugrawan Widodo; Rahmad Wisnu Wardana
Applied Industrial Engineering Journal Vol 6, No 2 (2022): DESEMBER
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/aiej.v6i2.7112

Abstract

Kesehatan dan Keselamatan kerja merupakan faktor penting yang perlu diperhatikan oleh perusahaan. Penerapannya dipengaruhi oleh keandalan manusia didalamnya. Penelitian ini membahas analisis kecelakaan kerja akibat human error pada PT. X yang bergerak di bidang manufaktur alat transportasi. Kecelakaan kerja yang terjadi diantaranya: tergores gram, terluka bakar, dan terjepit mesin press. Hal tersebut disebabkan pengabaian prosedur dan penggunaan APD oleh operator. Metode yang digunakan adalah Standardized Plant Analysis Risk Human Realibility Assessment (SPAR-H) dan Human Error Assessment and Reduction Technique (HEART). Hasil penelitian menunjukkan nilai HEP terbesar pada metode SPAR-H yakni 0,5558 pada unit steel work, 0,1668 pada unit minor assembly, 0,1668 pada unit sub assembly, 0,1668 pada unit carbody assembly, dan 0,5558 pada unit tempering. Sedangkan pada metode HEART, nilai HEP terbesar yakni 0,6164 pada unit steel work, 0,2153 pada unit minor assembly, 0,2153 pada unit sub assembly, 0,2153 pada unit carbody assembly, dan 0,4285 pada unit tempering. Berdasarkan penilaian tersebut diberikan beberapa usulan perbaikan berupa: pelatihan penggunaan mesin dan alat bantu dengan benar, serta penekanan penggunaan APD.
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

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.
Co-Authors Annisa Kesy Garside Muhammad Alif Ihsan Rara Putri Ayuning Tyas Risyad Nugrawan Widodo