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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. 2 No. 1 (2024): September 2024" : 5 Documents clear
Sistem Pendukung Keputusan Pemilihan Kepala Keperawatan Menggunakan Metode MABAC Rusman Waruwu
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.62

Abstract

The head of nursing is a profession or position in charge of leading and being fully responsible for controlling and organizing all nursing service activities in the hospital, by organizing and structuring nursing activities so that the head of nursing has an important task in coordinating his subordinates. In the selection of the head of nursing is very complicated because it requires the requirements that must be met in the selection of the head of nursing, the criteria that must be met include education, attitude, tenure, performance and others. Currently, the system used for selecting the head of nursing still uses a manual method by receiving input from other members of the nurses and assisted by the director or head of the hospital itself. The MABAC method is a multicriteria comparison method, this method the author chose because this method provides a consistent solution and is also very reliable in decision making compared to other methods in the process of selecting the head of nursing. Based on the calculations that have been carried out, the one who deserves to be appointed as the head of Nursing at Estomihi Hospital with a value of 0.68413 is Asfriani Simanullang (Alternative code A2).
Penerapan Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penentuan Bantuan Siswa Miskin (BSM) pada SMK Mesran, Mesran; Nastiti, Sindy; Sussolaikah, Kelik; Saputra, Imam; Utomo, Dito Putro
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.66

Abstract

The BSM Program is a National Program that aims to eliminate barriers for poor students to participate by helping poor students obtain decent educational service requests, preventing dropouts, attracting poor students to return to school, helping students meet their needs in learning activities, supporting the 9-year compulsory education program (even up to high school level), and helping the smooth running of school programs. To obtain the Poor Student Assistance (BSM) funds, the government has set several criteria for who are the students who can be determined and are entitled to receive the Poor Student Assistance (BSM). These criteria will later help schools or educational institutions determine which students can be determined to receive the Poor Student Assistance Fund. Therefore, an educational institution must have a Decision Support System for recommending Poor Student Funds (BSM) using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Poor Student Assistance (BSM) it is hoped that the determination process will run well, be on target, and be received by those who are entitled. The final result determines that Alternative A1 is ranked first with the highest score of 22.2679. Thus, decision makers can compare the performance between the old system and the BSM fund determination decision support system using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on students who will be given Poor Student Assistance funds.
Sistem Pendukung Keputusan Pemilihan E-Wallet Terbaik Menerapkan Metode Simple Additive Weighting (SAW) Lasria Mandalahi; Rizky Dermawan; Sopi Napidah Sibarani
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.71

Abstract

The popularity of e-wallets in Indonesia continues to skyrocket along with people's digital lifestyle. Ease of transactions and various attractive promos are the main attractions. However, data security and variations in transaction fees need to be a concern. To help users choose the right e-wallet, the application of a Decision Support System (SPK) by considering factors such as ease of use, security, and cost can be an effective solution. This research develops a Decision Support System (SPK) using the Simple Additive Weighting (SAW) method. This SPK allows Punulis to compare and evaluate various important criteria in choosing an E-Wallet, such as security, ease of use, merchant support, transaction fees, and additional features. The SAW method is used to give weight to each criterion and produce the best E-Wallet recommendations based on the calculations carried out. From the results of calculations using the SAW method, an e-wallet ranking was obtained with Link Aja with a final value of 1.219 as the best, followed by iSaku with a final value of 1.008, and Jenius with a final value of 0.948.
Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode TOPSIS Vieolita, Yoanda; Cici Ulandari
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.72

Abstract

Teachers are one of the most owned components by the school in directing life, which is a challenge for the management of educational institutions to be able to provide an appropriate, effective and efficient decision in data management in the increasingly competitive business world spurring schools to work harder in improving the quality of their schools. So a decision support system is needed in determining the performance assessment of teachers in elementary or high school equivalent. And to determine who the teacher's performance at school requires criteria and weights in assessing it. To determine who is the teacher performance assessment, the Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) method was used. This method was chosen because it is able to choose the best alternative from a number of existing alternatives. From a number of existing alternatives that become the best alternative for the best teacher performance assessment in elementary or high school equivalent.
Analisis Kualitas Surat Kabar Online Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Sianturi, Lydia Shinta Maria; Meliza Gultom; Sertiani Rosida Gultom
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.73

Abstract

This research aims to analyze the quality of the best online newspapers using the Simple Additive Weighting (SAW) method. This method was chosen because of its ability to handle multi-criteria decisions by calculating the preference value of each option based on predetermined criteria. Online newspapers such as The Washington Pos.com, CNN.com, Reuter.com, Merdeka.com, and others are rated based on various factors, including content quality, update speed, and interactivity. CNN.com, Reuter.com, and Merdeka.com received the highest score of 1, while the lowest rating was with a value of 0,085. This research guides readers in choosing a quality online newspaper, as well as providing insight for newspaper managers in their efforts to improve their services. The SAW method has proven to be effective in conducting quality analysis by considering various relevant criteria.

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