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Journal of Decision Support System Research
Published by ADA Research Center
ISSN : -     EISSN : 3026006X     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Decision Support System Research journal publishes manuscripts within the fields of: 1. Natural Language Processing Pattern Classification, 2. Speech recognition and synthesis, 3. Robotic Intelligence, 4. Big Data, 5. Informatics Techniques, 6. Image and Speech Signal Processing, 7. Data Mining 8. Decision Support System, 9. Experts System, and 10. Cryptography
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2023): September 2023" : 5 Documents clear
Sistem Pendukung Keputusan Pemilihan Mahasiswa Penerima Bantuan Uang Kuliah Tunggal Menggunakan Metode Simple Additive Weighting (SAW) Nur Wulandari; Nurul Izzah Hadiana; Mesran Mesran; Rohmat Indra Borman; Agus Perdana Windarto
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

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Abstract

Single Tuition Assistance (UKT) is a government program to help students who are academically capable and economically disadvantaged. The form of UKT assistance provided by the government to recipient students is tuition assistance which is transferred directly to the university's account. This assistance is intended for underprivileged students. In order for the provision of UKT assistance to be right on target, the selection in receiving aid must be better and objective in accordance with predetermined criteria. However, universities often face several problems in the selection process, which is carried out in stages so that it takes quite a long time. Therefore, a decision support system is needed as a solution to these problems by applying the Simple Additive Weighting (SAW) method. The test results obtained that the best alternative that was considered worthy as a student receiving UKT assistance was in alternative A4 on behalf of Khairunnisa which resulted in the best preference value of 0.8865 as the first rank.
Penerapan Metode Simple Additive Weighting (SAW) dalam Rekomendasi Calon Ketua Badan Eksekutif Mahasiswa (BEM) Trisman Andika Hulu; Martua Raja Siregar; Darma Setiawan Putra; Perani Rosyani; Mesran Mesran
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

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Abstract

Within the scope of intra-campus students in a university, BEM has an important role as a body that represents students in the form of aspirations and social service. The election of the BEM chairman was the first to be carried out using the voting method by the DPM (Student Representative Council) accompanied by lecturers, so it is very likely that the election results will be less efficient and effective. Therefore, an assessment system is needed to help select recommendations for prospective BEM chairpersons at the university. The right system to overcome this problem is the Decision Support System (DSS). Based on the results of the tests that have been carried out, the best alternative value that meets the criteria as a recommendation for the BEM chairman candidate is alternative A1 in the name of Trisman Andika Hulu with the best preference value of 0.9793 as the first rank.
Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Dalam Mendukung Keputusan Pemberian Bantuan Uang Kuliah Tunggal Darmeliani Sinaga; Suci Ramadhani Sihotang
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

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Abstract

In accordance with the regulations that have been determined by the aid provider to obtain assistance, criteria are needed to determine who will be selected to receive assistance. The distribution of aid is carried out to help underprivileged or high achieving students during their studies. To help determine which students are worthy of receiving assistance, a decision support system is needed. The method used for the Decision Support System is to use the Multi-Objective Optimization Method on the basis of Ratio Analysis (MOORA). In this research, a case will be raised, namely looking for the best alternative based on criteria that have been determined using the MOORA method. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the alternative in question is students who are entitled to receive assistance based on specified criteria. The research was carried out by finding the weight value for each attribute, then a candidate sorting process was carried out which would determine the optimal alternative, namely the students who were entitled to receive the assistance.
Sistem Pendukung Keputusan Penerimaan Dosen Tetap Menerapkan Metode SAW Dendy Frans Gunawan Hutagalung; Ebenezer Maston Sinaga
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

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Abstract

Lecturers are educators at the university level, where there are various skills and experiences to create human resources as needed. However, the many criteria that exist for each lecturer with different grades make it difficult for a university to determine whether the lecturer is worthy of being accepted at the university or not. In accepting Permanent Lecturers, a Decision Support System is required. This Decision Support System is able to solve the problems faced. The method used in this research is the SAW Method. because it is able to solve an assessment problem with a model using priority values or weights that have been determined for each need. The result of this research is that Alternative A5 in the name of "Juliando Sahali, M.Kom" is the best alternative that is worthy of being accepted as a permanent lecturer at Budi Darma University with a value of Vi = 0.998.
Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menerapkan Metode SAW Ilman Alfansyah; Jenberta Sibagariang; Rizkah Fadillah; Dwika Assarani
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

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Abstract

The role of lecturers at a university is one of the most influential parts on the quality of the resulting female students, one of which is a non-computer lecturer. At Budi Darma University there are many non-computer lecturers. So it is necessary to make an award to support the spirit of competition in terms of lecturer quality and will be chosen as the best lecturer. Giving the award is one way to foster positive competitiveness among non-computer lecturers on the level of competence of lecturers in the campus environment in order to produce non-computer lecturers with the best quality. Decision Support System is one of the alternatives in determining a decision, so this research aims to facilitate Higher Education Institutions (Foundations) in choosing the best non-computer lecturers who will get awards later. In building a decision support system, of course, by applying methods in data processing so that it will produce a decision value as expected. The method used to process non-computer lecturer data to produce the best non-computer lecturer data is the Simple Additive Weighting (SAW) method. The results of this research are using the SAW method, the best alternative is A4 for Lecturer D with a value of 0.485

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