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All Journal Building of Informatics, Technology and Science Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Teknik Informatika (JUTIF) Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Telematics and Information Technology (TELEFORTECH) Paradigma Jurnal Ilmiah Computer Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
Priandika, Adhie Thyo
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Journal : Bulletin of Computer Science Research

 1 
Pendekatan Hybrid Respond to Criteria Weighting dan Utalities Theory Additives untuk Pemilihan Supplier Bahan Baku dalam Industri Makanan A’yun, M Qurrota; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.516

Abstract

Choosing the right raw material supplier is a crucial factor in maintaining quality and production continuity in the food industry. This study proposes a hybrid approach that combines the Respond to Criteria Weighting (RECA) method to objectively determine the weight of the criteria and the Utilities Theory Additives (UTA) method to evaluate alternatives based on partial utility functions. This approach is designed to accommodate the complexity of decision-maker preferences as well as the multi-criteria assessment dynamics that often occur in the supplier selection process. Case studies were conducted on several supplier alternatives by considering various criteria. The results of the ranking of alternative suppliers based on the combination of the RECA and UTA methods can be seen that the MB alternative obtained the highest score of 0.8578 as the first rank, followed in order by TM obtained a score of 0.8576 as the second rank, and AJ obtained a score of 0.8573 as the third rank. The results of the analysis show that the combination of the two methods is able to produce accurate, consistent, and relevant ratings to the strategic needs of the company. This approach makes a significant contribution to improving objectivity, transparency, and efficiency in decision-making, particularly in the food industry sector which relies heavily on supply chain reliability.
Penerapan Kombinasi Metode Entropy dan SMART Dalam Pemilihan Kepala Divisi Keuangan Yusran, Muhamad; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.517

Abstract

The election of the Head of the Finance Division is an important decision that requires an objective and systematic evaluation of the existing candidates. This study proposes the application of a combination of Entropy and SMART (Simple Multi-Attribute Rating Technique) methods to support the decision-making process in the election of the Head of the Finance Division. The Entropy method is used to objectively determine the weight of the criteria, based on the distribution of candidate assessment data, while the SMART method is applied to assess each candidate based on predetermined criteria. The results of the ranking of candidates for the Head of the Finance Division are based on the final score obtained by each candidate. Based on these results, candidate A5: Eko Prabowo ranks highest with a score of 0.6667, followed by A7: Gita Susanti with a score of 0.6097. These results show that Eko Prabowo is the most superior candidate to be considered as the Head of the Finance Division, based on the assessment method used in this study. The combination of these two methods allows for more accurate, transparent and accountable decision-making, as it is based on objective and structured calculations.
Sistem Pendukung Keputusan Pemberian Kredit Kendaraan Menggunakan G2M Weighting dan Metode Comprehensive Distance Based Ranking Simamora, Parningotan; Priandika, Adhie Thyo
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.518

Abstract

Providing vehicle loans is one of the important services in the financing sector that requires an objective and accurate evaluation process of prospective debtors. This research aims to develop a Decision Support System (SPK) that can assist in the selection process of providing vehicle credit by combining the G2M Weighting and Comprehensive Distance-Based Ranking methods. The G2M method is used to objectively determine the weight of criteria based on multi-assessment analysis, while the CDR method is used to conduct alternative rankings based on a comprehensive distance to ideal and non-ideal solutions. The results of the calculation using the comprehensive distance-based ranking method, Gita ranked first with a final value of -0.0098, showing that it has the closest distance to ideal conditions and the furthest from non-ideal conditions compared to other alternatives. In second place is Ahmad with a value of -0.0067, followed by Hadi in third place with a value of -0.0042. The final results show that the combination of these two methods is able to provide effective recommendations in identifying potential debtors who are most deserving of credit, taking into account all assessment criteria in a comprehensive and structured manner. This system is expected to improve decision-making accuracy, speed up the selection process, and minimize the risk of errors in vehicle lending.
Co-Authors Adi Sucipto, Adi Aditya Saputra Agus Wantoro Ahdan, Syaiful An’ars, M. Ghufroni Ari Sulistiyawati Aryani, Venty A’yun, M Qurrota Dedi Darwis Edison, Arif Rahman Fitratullah, M. Gunawan, Rakhmat Dedi Hayatunnisa, Destaria Koeswara, Wawan Lutfy, Azza’zunda Choibar Ningsih, Ristia Octaviansyah, A. Ferico Permata, Permata Prabowo, Fransiskus Wahyu Sandy Putra, Farhan Nopransyah Putri, Jeni Sagita Rifaldo, Setiawan Rohmat Indra Borman Rosella, Rosella Safira, Wilga Salsabila Indriyani Sari, Kevinda Setyani, Tria Simamora, Parningotan Tien Yulianti Very Hendra Saputra Wahyuni, Dita Septia Yuri Rahmanto Yusran, Muhamad