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All Journal Prosiding Semnastek Jurnal Ilmiah FIFO Jurnal ULTIMA InfoSys TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Journal of Authentic Research Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA)
Herman Bedi Agtriadi, Herman Bedi
Institut Teknologi PLN
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Mechanical Engineering Public Health Social Sciences Other

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Integrating LODECI Weighting and ALPAS Methods for Raw Material Supplier Selection in the Textile Industry Pritasari Palupiningsih; Meilia Nur Indah Susanti; Herman Bedi Agtriadi
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 2 (2027): March 2027
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i2.8

Abstract

The selection of raw material suppliers in the textile industry is a complex challenge because it involves various criteria, such as price, delivery timeliness, material quality, color consistency, and production capacity. Subjective decisions or those based on unstructured data often lead to inaccuracies, unfairness, and supply chain disruption risks. This study aims to present an objective and systematic approach by integrating the LODECI method for criteria weighting and ALPAS for alternative ranking. The LODECI method extracts criteria weights rationally from variations in supplier performance, minimizing the influence of subjectivity, while ALPAS combines the criteria weights with the performance data of alternatives to generate final scores and rank suppliers comprehensively. This study involved eleven actual suppliers as alternatives, with performance data reflecting real operational conditions. The ranking results show that alternative A8 has superior and stable performance, followed by A10 and A4, while the sensitivity analysis indicates that changes in criteria weights of ±0.05 do not cause significant shifts in rankings, confirming the model's robustness. These findings demonstrate that the integration of LODECI and ALPAS can enhance the objectivity, consistency, and accountability of supplier decision-making, supporting supply chain efficiency, product quality, and the overall competitiveness of the textile industry.
Advanced Credit Scoring with Naive Bayes Algorithm: Improving Accuracy and Reliability in Financial Risk Assessment Adam Afandi; Herman Bedi Agtriadi; Luqman Luqman; Meilia Susanti
Jurnal E-Komtek (Elektronika-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2160

Abstract

This study develops a credit application recommendation system based on the Naive Bayes method to improve accuracy and reliability in financial risk assessment. Using the CRISP-DM framework, the research process starts with understanding the business needs to implement a web-based system. The Naive Bayes algorithm was chosen because of its ability to handle binary data classification and generate reliable predictions even with limited training data. This study combines feature selection and unbalanced data handling techniques to improve model performance. The evaluation results showed that the system achieved an accuracy of 70.50%, with a precision of 92.16%, a recall of 64.57%, and an F1-score of 75.83%. This system is implemented as a web-based application to help financial institutions make credit decisions quickly and accurately. These findings significantly contribute to developing a data-based classification system for the banking sector, especially in reducing the risk of bad loans and improving decision-making efficiency
Co-Authors Abdurrasyid, Abdurrasyid Adam Afandi Adam Ramdani Kusnandar Afif Dwi Kurniawan Andi Abd. Jalil. L Angga Saputra Chaerudin, Muhammad Farhan Darma Rusjdi David Gabriel Sembiring Dewi Arianti Wulandari Dimas Arditya Pinandhito Dina Aulia Djunaidi, Karina Duliades Mirsal Dwina Kuswardani Efy Yosrita Febryansyah Hans Arieyantho, Febry Haris, Abdul Hendra Jatnika Indrianto Indrianto Linda Alifiana luqman Luqman Luqman Luqman Luqman, Luqman M Habibi Max Teja Ajie Meilia Nur Indah Meilia Nur Indah Susanti Meilia Nur Indah Susanti, Meilia Nur Meilia Susanti Melania Erika Andolo Muhammad Nur Khanib Nurazizah Nurazizah Ocha Nia Martcya Situmorang Octaviasari, Afifah Nurlita Palupiningsih, Pritasari Purwanto, Yudhi Rakhmadi Ifansyah Putra Rizqia Cahyaningtyas Wijayanti , Anis Yessy Fitriani Zakiya Viantika Sihabudin4 Zakiyah Misfazilah