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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Jaring SainTek Bulletin of Information Technology (BIT) Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Sains dan Teknologi Widyaloka (JSTekWid) Jurnal Informatika dan Teknologi Informasi Journal of Engineering, Technology and Computing (JETCom) Jurnal Pengabdian Harapan Bangsa Advance Sustainable Science, Engineering and Technology (ASSET)
Gunawan Sudarsono, Bernadus
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Journal : Bulletin of Information Technology (BIT)

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Optimasi Pemilihan Lokasi Usaha Menggunakan Sistem Pendukung Keputusan Berbasis AHP Gunawan Sudarsono, Bernadus; Galih Whendasmoro, Raditya
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2007

Abstract

In the midst of increasingly intense business competition and constantly changing market dynamics, the ability to make the right strategic decisions is crucial for an organization's success. Decision-making that involves various criteria often faces high complexity and subjectivity, requiring methods that can manage and simplify this process. Decision Support System (DSS) is a system designed to assist decision-makers in dealing with semi-structured or unstructured situations. This research aims to develop a decision support system based on the Analytic Hierarchy Process (AHP) that can help entrepreneurs determine the optimal business location. The Analytic Hierarchy Process (AHP) is a decision-making method developed by Thomas L. Saaty in the 1980s. A normalization matrix is used to determine the weight of each alternative. The aggregation of weights shows that alternative A3 has the highest rank, followed by alternative A2. Therefore, alternative A3 can be considered the best choice based on the predefined criteria. The AHP method helps in making more informed and objective strategic decisions by integrating various criteria and preferences, thus providing a comprehensive view in selecting the best alternative.
Metode Maut dan Waspas Menentukan Mahasiswa Berprestasi di Universitas Bhayangkara Jakarta Raya dengan Pembobotan ROC Gunawan Sudarsono, Bernadus; Galih Whendasmoro, Raditya
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2205

Abstract

Becoming an outstanding student in higher education is a positive and proud achievement, reflecting the national education goal of developing students' potential to become educated, creative, and democratic and responsible citizens. Determining outstanding students faces obstacles when prospective candidates excel in some criteria but do not meet the standards in other criteria. To help the evaluation team, an effective decision support system is needed. The Multi-Attribute Utility Theory (MAUT) method with ROC weighting was used to convert various interests into numerical values ​​on a scale of 0-1, with the results showing that student Erwin Sulistiono (A4) had the highest utility value, namely 0.8975. For comparison, the Weighted Aggregated Sum Product Assessment (WASPAS) method was also applied, combining the Weighted Sum Model (WSM) and the Weighted Product Model (WPM), which gave consistent results with MAUT, showing that both methods provide an objective approach in determining outstanding students, although WASPAS with ROC weighting offers higher accuracy by combining the advantages of two scoring approaches.
Co-Authors Abdul Azis, Pani Agus Sucipto, Purwo Alexius Ulan Bani Alia, Putri Ariatna Anwar, Rafi Audrey Arianto, Putri Azis, Ibnu Azis, Nur Bahri, Alfiansyah Chijaya, Ridwan Christy, Vania Daimon Matulessy, Helmy Dian Kartika Sari Duantara, Haryadi Dwi Lestari DWI RAHMAWATI Farchan Gibran, Pramudya FAUZIYAH Galih Whendasmoro, Raditya Hamonangan Siagian, Jonathan Roland Irvani Arazzy, Riyan Johanes Fernandes Andry Joseph Liliana, Lydia Listi Prambodo, Yoga M. Ridwan Miki Kesi, Asterius Mirza Alfaridzi, Muhammad Nanda, El Nicolas Saing, David Poedji Lestari, Sri Priesyamin, Moshe Daud Putra, Haditya Ramos, Samuel Reynaldy, Rio Sakti Lee, Francka Saputra, Dandi Saputro, Joko Setiani, Lilis Sharyanto Sharyanto, Sharyanto Wahyu Prakoso, Ibnu Bagus Wijito Ayos De Ro, Samuel Winata, Wilson