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All Journal Jurnal Buana Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknoinfo KOMPUTIKA - Jurnal Sistem Komputer Jurnal Tekno Kompak TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Paradigma Journal of Engineering and Information Technology for Community Service JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Ilmiah Computer Science Jurnal Media Borneo Jurnal Informatika: Jurnal Pengembangan IT CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Jurnal Media Jawadwipa Bulletin of Artificial Intelligence Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA)
Wahyudi, Agung Deni
Universitas Teknokrat Indonesia
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Comparative Analysis of CODAS, TOPSIS, and COCOSO Methods Using Objective Weighting in Multi-Criteria Decision Support Systems Setiawansyah Setiawansyah; Very Hendra Saputra; Agung Deni Wahyudi
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 5 No. 1 (2026): Volume 5 Nomor 1 March 2026
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v5i1.78

Abstract

This study aims to objectively assess teachers' pedagogical performance through the application and comparison of three multi-criteria decision-making methods, namely CODAS, TOPSIS, and COCOSO, with the criteria weights determined using the ITARA method. The ranking results show differences in evaluation patterns among the methods, where the CODAS method places Teacher RD in the first rank, followed by Teacher GH and Teacher DG, while Teacher AN is ranked last. In contrast, the TOPSIS and COCOSO methods produced relatively consistent rankings, with Teacher TY ranking first, followed by Teacher AN and Teacher NH in TOPSIS, and Teacher NH and Teacher DG in COCOSO. These differences in results indicate that each method has a different evaluative perspective on the performance of alternatives, depending on the preference calculation approach used. Overall, this comparative analysis confirms that using more than one ranking method can provide a more comprehensive and balanced view in evaluating teachers' pedagogical performance, thereby supporting more accurate and data-driven decision-making.
PERANCANGAN SISTEM INFORMASI PRESENSI KERJA KARYAWAN BERBASIS WEB (STUDY KASUS: PT DWI KARYA MAKMUR) Taufik Hidayat; Rusliyawati Rusliyawati; Damayanti Damayanti; Ernando Dalimunthe; Deby Alita; Faruk Ulum; Ari Sulistiawati; Tien Yulianti; M.Najib Dwi Satria; Agung Deni Wahyudi; Muhammad Asgaff Aznan Siregar; Neneng Neneng
Jurnal Data Mining dan Sistem Informasi Vol 5, No 1 (2024): Februari 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jdmsi.v5i1.4016

Abstract

PT Dwi Karya Makmur merupakan perusahaan yang bergerak dalam bidang penjualan jagung, perusahaan ini memiliki 20 karyawan tetap. Sistem absensi karyawan yang ada pada PT Dwi Karya Makmur masih dilakukan secara manual yaitu menandatangani lembar absensi. Berdasarkan proses yang berjalan terdapat kendala yaitu kurang akuratnya data dikarenakan terkadang karyawan mengabsenkan teman karyawannya dikarenakan masih dilakukan manual. Membuang waktu ± 25 menit dalam merekap laporan absensi dikarenakan harus melihat lembar absensi satu persatu. Pada penelitian bertujuan untuk membuat dan merancang sistem informasi absensi karyawan dimulai dari metode pengumpulan data (wawancara, pengamatan dan dokumentasi) menggunakan metode pengembangan prototype, pembuatan rancangan sistem menggunakan UML dengan model perancangan Usecase Diagram, Activity Diagram, Class Diagram. Hasil pengujian ISO 25010 yang telah dilakukan dengan melibatkan 3 responden bahwa kesimpulan kualitas kelayakan perangkat lunak yang dihasilkan memiliki presentase keberhasilan dengan total rata-rata 89.91%. Kata Kunci: Absensi, ISO 25010, Prototype, UML, Web
Modification of Additive Ratio Assessment Method through Distance-Based Weighting Approach for Optimizing Assessment Accuracy Rakhmat Dedi Gunawan; Muhammad Waqas Arshad; Agung Deni Wahyudi; Ryan Randy Suryono; Tri Widodo; Faruk Ulum
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8810

Abstract

The Additive Ratio Assessment (ARAS) method is one of the approaches in multi-criteria decision making (MCDM) used to determine the best alternative based on a number of predetermined criteria. The drawback of this method is its heavy reliance on the accuracy of the criterion weighting determination; non-objective weights can lead to biased results. This study aims to improve the accuracy of ranking in multicriteria decision-making through the modification of the ARAS method with a distance-based weighting approach called ARAS-D. The ARAS method, known for its simplicity in calculation, was modified to be more responsive to the distribution of alternative data on each criterion. This distance-based weighting approach objectively determines the weight of the criteria based on variations in data performance, thereby reducing subjectivity in the weighting process. A case study was conducted on the selection of a new store location with six main criteria: rental cost, building area, accessibility, consumer traffic, parking availability, and infrastructure. The results of the evaluation show that the ARAS-D method is able to produce more precise ratings than the standard approach. Store locations with the highest utility value are recommended as the best choice, proving the effectiveness of the method in supporting strategic decisions. The results of the New Store Location 5 alternative rating obtained the highest score with a value of 0.9083, indicating that this location is the most optimal choice overall. This is followed by New Store Location 3 with a value of 0.8617 and New Store Location 1 with a value of 0.8415, which also shows excellent performance against the criteria that have been set. This research contributes to the development of more adaptive and data-based decision-making methods.
Integration of Data Assessment Method Weighting and Proximity Indexed Value for Best Employee Selection in Decision Support Systems Setiawansyah Setiawansyah; Dyah Ayu Megawaty; Faruk Ulum; Agung Deni Wahyudi; Fadila Shely Amalia
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 4 (2026): Volume 4 Number 4 October 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i4.378

Abstract

The selection of the best employee is a multi-criteria decision-making problem because employee performance is evaluated using several criteria with different levels of importance. Subjective criterion weighting may not fully represent the characteristics of the assessment data and can influence the resulting decision. This study proposes the integration of Data Assessment Method (DAM) Weighting and Proximity Indexed Value (PIV) within a Decision Support System for best employee selection. DAM Weighting is employed to determine objective criterion weights based on the information contained in the assessment data, while PIV is used to evaluate the relative proximity of each employee alternative to the reference condition. The results show that the criterion weights are relatively balanced, with R1 obtaining the highest weight of 0.1494 and R4 the lowest weight of 0.1381. The PIV calculation produces different proximity values among the nine employee alternatives, with Alt-08 obtaining the lowest value of -2.2864, followed by Alt-09 at -1.8580 and Alt-06 at -1.7148. Based on the resulting ranking, Alt-08 is identified as the best employee. These findings indicate that the integration of DAM Weighting and PIV can provide an objective, quantitative, and data-oriented mechanism for supporting best employee selection in a Decision Support System.
Decision Support System for Production Machine Maintenance Prioritization Using LOPCOW Weighting and SPOTIS Very Hendra Saputra; Agung Deni Wahyudi
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 1 (2026): November 2026
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i1.1

Abstract

Maintenance of production machines is essential for maintaining production continuity and minimizing the risk of downtime and operational losses. However, limited maintenance resources, including budget, technician availability, maintenance time, and spare parts, require organizations to establish appropriate maintenance priorities. This study proposes a Decision Support System (DSS) for objectively prioritizing production machine maintenance using a Multi-Criteria Decision-Making (MCDM) approach that integrates the LOPCOW and SPOTIS methods. LOPCOW is applied to determine objective criterion weights based on the characteristics and variation of the maintenance data, while SPOTIS is used to rank production machines according to their distance from the ideal solution. The results show that C7 obtains the highest criterion weight of 0.2616, followed by C5 (0.2134) and C6 (0.1937), while C2 obtains the lowest weight of 0.0412. The SPOTIS results produce the maintenance priority sequence M4, M7, M2, M5, M1, M8, M3, and M6, with M4 achieving the highest priority with a final value of 0.0000, while M6 has the lowest priority with 1.0000. These findings demonstrate that the proposed LOPCOW–SPOTIS framework can provide a systematic, objective, and transparent basis for identifying maintenance priorities and supporting more consistent allocation of limited maintenance resources.
Co-Authors ., Rusliyawati Ade Dwi Putra ade ferry qadafi Ade Surahman Ade Surahman Aditia Yudhistira Aji Sultan Faqih Andria Soraya Anton Mahendra Anton Mahendra Ari Sulistiawati Ari Sulistiyawati Bayu Dwi Juniansyah Damayanti Damayanti Damayanti, Damayanti Deby Alita Dedi Darwis Dyah Ayu Megawaty Erliyan Redy Susanto Ernando Dalimunthe Fachrul Kurnia Adam Fadila Shely Amalia FAHRUDIN, NUR FITRIANTI Faruk Ulum Gunawan, Rakhmat Dedi Idrajat Pangestu Incik Ferika Zetira Isnain, Auliya Rahman Junhai Wang Komang Anita Kurniawan Hidayat Lathifah Lathifah M Ghufroni An'ars M Kasyif Gufran Umar M.Najib Dwi Satria Merti Warsela Muhammad Asgaff Aznan Siregar Muhammad Waqas Arshad Neneng Neneng Nirwana Hendrastuty Nirwana Hendrastuty Nuari Anisa Sivi Nuzuliarini Nuris Pasaribu, A. Ferico Octaviansyah Permata, Permata Priandika, Adhie Thyo Randy Julyan Riska Aryanti Ryan Randy Suryono Samuel Hutagalung Samuel Hutagalung Sanriomi Sintaro Setiawansyah Setiawansyah Sumanto Sumanto Surahman, Ade Taufik Hidayat Tien Yulianti Tri Widodo Ulum, Faruk Vederico Pitsalitz Sabandar Very Hendra Saputra Wang, Junhai Yohanes Eka Wibawa Yosep Nuryaman Yusra Fernando