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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. 3 (2024): May 2024" : 5 Documents clear
Implementasi Sistem Pendukung Keputusan Penentuan Siswa Terbaik Dengan Metode Complex Proportional Assessment (COPRAS) Deri Setiawan
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.47

Abstract

Due to the high level of competence between students and schools, SMA Muhammadiyah 2 Medan needs to select the best and outstanding students in order to compete among students by involving various considerations. The consideration of the criteria taken are the average value of the report card, attitude value, skill value, extracurricular, and number of attendance. Currently, SMA Muhammadiyah 2 Medan is still conducting an assessment process that involves the subjectivity of the teaching teacher or homeroom teacher, resulting in a less than optimal assessment, due to partiality. Therefore, the researchers built a Decision Support System (SPK) application for selecting the best students using the Complex Proportional Assessment (COPRAS) method. The COPRAS method testing uses 10 alternatives and 5 existing criteria. The results showed that the Decision Support System (SPK) could help the SMA Muhammadiyah 2 Medan to complete the selection of the best students correctly and accurately.
Sistem Pendukung Keputusan Pemilihan Siswa Penerimaan Bantuan Program Indonesia Pintar Menerapkan Kombinasi Metode Rank Order Centroid Dan Additive Ration Assassment Purba, Maya Pratiwi
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.48

Abstract

Program Indonesia Pintar (PIP) is an educational cash assistance from the government that finances students until they graduate from high school from the age of 6-12 years. the target of receiving the Indonesia Pintar Program (PIP) is the acceptance of the family hope program (PKH) or the acceptance of the prosperous family card (KKS) who come from underprivileged families. The provision of this assistance is often not on target, this is because the calculation of PIP acceptance still uses a manual system and has not been computerised. The ARAS method is expected to assist in the selection of students who are eligible to receive PIP assistance, because the ARAS method will carry out the ranking process based on criteria with different weights so that the results are more optimal. This research is to find the weight value for each criterion, then carry out a ranking process that will determine the optimal alternative as well in the selection of students receiving smart Indonesia card assistance. as for the 5 criteria that are used as a reference in the selection of students receiving smart Indonesia card assistance are having a prosperous family card (KKS), Participants in the Family Hope Card Program (PKH), Orphans, Disabilities and Victims of Natural Disasters or Calamities.
Sistem Pendukung Keputusan Diklat Tenaga Kerja Sarjana Terbaik Menerapkan Metode OCRA Agustina Sidabutar; Mesran, Mesran; Mesran, Rian Syahputra
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.53

Abstract

Manpower is a very important part in supporting the success of a company. In planning the needs of a company, the workforce is the most important part in conducting the training program in determining the workforce that meets the company's qualifications. Of course, in supporting the success of a company, it can be seen from the quality of work of the workforce. In the training for the best undergraduate workers, obstacles or problems sometimes arise that cause difficulties during the training for the best undergraduate workers. Decision support system (DSS) is a computer-based system that is very interactive, which helps in making a decision to utilize data and models in solving unstructured and semi-structured problems. This research was conducted using the Operational Competitiveness Rating Analysis (OCRA) method. Where this method is able to analyze in various sectors and compare from several different decision units. The calculation results of this method will be in accordance with expectations if the selected alternative meets the predetermined criteria. Thus a decision support system is needed in assisting decision making in determining the best undergraduate manpower training at the North Sumatra Provincial Manpower Office.
Penerapan Kombinasi Metode Pembobotan ROC dan SAW dalam Rekomendasi Media Marketing Bagi UMKM Rahmanto, Yuri; Mesran; Sintaro, Sanriomi; Setiawansyah
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.58

Abstract

Problems in choosing marketing media for MSMEs are often related to limited resources and knowledge. One of the main challenges is in choosing the right media platform according to the characteristics of their target market. Due to the large selection of social media and other digital channels, MSMEs often struggle to determine where they should focus or allocate their marketing budgets effectively. The application of a combination of ROC and SAW weighting methods in media marketing recommendations for MSMEs can provide more accurate and relevant results in the selection of promotional media. With this approach, MSMEs can more easily identify the most effective marketing media based on various factors such as cost, audience reach, and promotion effectiveness. The implementation of this combination of methods helps MSMEs in optimizing their marketing budgets, increasing the visibility of products or services, and ultimately, encouraging faster and more sustainable business growth Media marketing is essential for MSMEs to increase the visibility and sales of their products. Through the right combination of media marketing strategies, MSMEs can build strong brands, increase customer loyalty, and ultimately achieve sustainable business growth. The results of MSME media marketing recommendations using a decision support system approach using the ROC and SAW weighting methods show that the first rank with a final score of 0.7919 was obtained by Email Marketing, the second rank with a final score of 0.7314 was obtained by Tiktok Ads, and the third rank with a final score of 0.6908 was obtained by Facebook Ads.
Sistem Pendukung Keputusan Seleksi Kandidat Tenaga Kesehatan Teladan dengan Menerapkan Metode WASPAS Hardian Syahputra
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.61

Abstract

The Sei Suka Health Center, Batu Bara Regency, determines health workers by looking at the conditions of the candidates to be selected, whether they are eligible to be appointed as candidates for health workers or not. and must have very good, good, good enough, not good criteria. In addition, the Sei Suka Health Center, Batu Bara Regency, is still selecting candidates for health workers in Batu Bara Regency, which is still done manually, in the sense of recording (Handwriting) data on health workers who will be selected as potential health workers, this is less effective and hinders the work of the Puskesmas. Sei Suka Batu Bara Regency in selecting candidates for health workers manually. Because this SPK provides decision-making information in semi-structured situations. The solution to the problems that are happening, the authors take the Decision Support System (DSS), which is an information system that provides information, a decision-making system in semi-structured situations and unstructured situations where no one knows how to make decisions. There are several methods that can be used in a Decision Support System (DSS), including the WP, WASPAS, MOORA, TOPSIS, ELECTR, PROMETHEE, AHP methods. The results of the study show that the existence of a Decision Support System for Selection of Exemplary Health Worker Candidates Using the WASPAS Method can be carried out quickly, precisely, and objectively. The final result after applying the WASPAS method concluded that alternative A2 in the name of Nurasiah Rais, Am.Keb obtained the highest value, namely 0.3827.

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