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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 27 Documents
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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
Sistem Pendukung Keputusan Pemilihan Maklon SkinCare Terbaik dengan Metode VIKOR Resti Amalia; Ines Heidiani Ikasari; Perani Rosyani
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.31

Abstract

In the beauty industry, demand for skin care products is increasing, encouraging manufacturers to collaborate with other parties to produce products that suit consumers' needs and desires. The process of selecting a manufacturing loan partner or company that will produce skin care products is very important to ensure the quality and success of the product. In this research, we introduce the use of the VIKOR Method (ViseKriterijumsko Kompromisno Rangiranje) as an approach to selecting the best contracting partners in the skin care industry. The VIKOR method is one of the effective multi-criteria decision making methods, which allows the assessment of several conflicting criteria. We collect relevant criteria for selecting a maklon partner, such as product quality, price, production capacity, regulatory compliance and quality assurance. Then, we apply the VIKOR Method to rank each maklon partner based on these criteria. The results of this research provide recommendations regarding the best maklon partners who have the best balance between the various criteria considered. This approach can help skin care manufacturers to make more informed and optimal decisions in selecting manufacturing partners, thereby improving the quality and competitiveness of the skin care products produced. The final results showed that MPM Beuaty became the first best with a final score of 0 and the second best Pt.Bunga with a final score of 0.51.
Penerapan Metode MOORA dan Pengambilan Keputusan untuk Penentuan Karyawan Terbaik Nova Nika Silaban
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.34

Abstract

Employees are one of the most important assets owned by a company in its efforts to maintain survival, development, the ability to compete and earn profits. Selection of the best employees will produce valid and useful information for employee administrative decisions such as promotions, training, transfers including reward systems and other decisions. The Decision Support System is a computerized system and is designed to increase effectiveness in decision making to solve semi-structured and unstructured problems so that the decision-making process carried out can be of higher quality. This application that will be created is an application that is guided by the MOORA method. In this study, the ranking results were obtained as follows: Lidya (A2) received the highest preference value of 0.533, placing her in the first rank. Meanwhile, Andre (A1) is in the second rank with a preference value of 0.458. Followed by Naomi (A4) with a value of 0.429, Muhammad (A5) with a value of 0.394, and Friska (A3) with a value of 0.337, occupying the fifth rank.
Decision Support System for Covid-19 Social Assistance Recipients Applying the Weighted Aggregated Sum Product Assessment Method Simanjuntak, Deby Monalisa; Mesran
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.35

Abstract

The government's efforts to provide social assistance to fulfil all economic needs for people affected by Covid-19 are not optimal. So that many people feel that the social assistance provided is not right on target. Manual data entry in Medan Estate Village is claimed to be at risk of not being on target, multiple recipients and individuals who take advantage of the situation.  The WASPAS method is expected to determine the criteria for people who are entitled to receive Covid-19 social assistance, because the WASPAS method will carry out a ranking process based on attributes with different weights so that the results are more optimal. This research is to find the weight value for each attribute, then a ranking process is carried out which will determine the optimal alternative in receiving social assistance. The 5 alternatives that are the results of determining the recipients of Covid-19 Social Assistance are alternative A2 with a result of 0.7553, A1 with a result of 0.7198, A6 with a result of 0.6159, A11 with a result of 0.6086 and A8 with a result of 0.5999.
Analisis Perbandingan Metode MAUT dan OCRA dalam Rekomendasi Produk Tabir Surya Terbaik Harahap, Amran Saleh; Tanjung, Dewi Maulida Sari; Soeb Aripin
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.37

Abstract

This research aims to conduct a comparative analysis between the MAUT (Multi-Attribute Utility Theory) and OCRA (Order of Comparative Risk Assessment) methods in the context of recommending the best sunscreen products. A Decision Support System (DSS) is employed as the underlying tool for selecting the most suitable products based on predefined criteria. The research findings indicate that both methods yield the same best alternative, which is the product "The Originote" with an A8 ranking. The MAUT method produces the best preference value of 0.53, while the OCRA method yields the best preference value of 2.455. These results reveal that in the data testing conducted, the OCRA method takes the first rank with higher preferences compared to the MAUT method. This research offers valuable insights into the selection of the best sunscreen products by utilizing two different methods, which can assist consumers and stakeholders in making more informed and data-driven decisions. These findings can serve as a basis for further developments in decision analysis methods within the context of sunscreen products and similar items.
Sistem Pendukung Keputusan Pemilihan Customer Service Terbaik Menggunakan Metode WASPAS (Weight Aggregated Sum Product Assesment) Robiah Al-Adawiyah; Ritonga, Devi; Muhammad Syahrizal
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.38

Abstract

Customer service plays a very important and problematic role in forming the image of a company or organization, so with the help of customer service every customer or consumer can ask and use the information provided both about services and goods. Both verbal and non-verbal communication methods in customer service have a significant impact on the image of a company or organization. In order for the company's services to be provided optimally and maximally to customers, everyone must support each other. Qualification standards have a significant impact on excellent customer service in a company or organization. Effective customer service plays a key role in building good customer relationships and ensuring their satisfaction. Therefore, choosing the right customer service is important for companies as well as organizations. So we need a Decision Support System (SPK) in solving this problem. So that a Decision Support System (DSS) is needed in solving this problem. In this study using the Weight Aggregated Sum Product Assessment (WASPAS) method. This method uses an approach to selecting the highest and lowest values ??that can be optimized to provide more accurate results. Several methods on decision support systems in producing the best alternatives include SAW, WP, AHP, MOORA, MOOSRA and OCRA. WASPAS (Weight Aggregated Sum Product Assessment) is one of the methods that can do this to reduce errors or to optimize the evaluation of the selection of the highest and lowest values. This method is a unique combination of the MCDM approach, namely the weighted numerical model (WSM) and the Product Weight Model (WPM). One of the problems faced in the selection of customer service is due to the large number of people who register, therefore to determine the best customer service acceptance the company conducts data collection by determining the criteria and weights that must be met to carry out the calculations, so that the best alternative results can be obtained. it can be concluded that the WASPAS (Weight Aggregated Sum Product Assessment) method is very appropriate to use in selecting the best customer service. Evidenced by the results being in alternative (A1), namely Daughter as the best preference with a value of 3.19755, so that a decision support system with the WASPAS (Weight Aggregated Sum Product Assessment) method can help a company or a particular brand in choosing the best customer service to work together in companies or other agencies.

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