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INDONESIA
Jurnal Sains dan Teknologi Informasi
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2809610X     DOI : https://doi.org/10.47065/jussi.v3i2.4883
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Bidang kajian dari Jurnal Sains dan Teknologi Informasi, yaitu: Teknik Informatika, Manajemen Informatika, Sistem Informasi, Teknik Komputer, Kecerdasan Buatan, dan Computer Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol 4 No 4 (2025): September 2025" : 4 Documents clear
Analisis Fungsi Implikasi Max-Min dalam Pengambilan Keputusan Penentuan Penduduk Kurang Mampu Menggunakan Metode Fuzzy Tsukamoto Ginting, Clusilla Via Mia Dalmatia Br; Agnesia, Mella; Rahayu, Cici; Ginting, Raheliya Br; Surbakti, Asprina Br
Jurnal Sains dan Teknologi Informasi Vol 4 No 4 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i4.8390

Abstract

Determining the underprivileged population is a crucial aspect in the distribution of social assistance to ensure it is targeted. Fuzzy logic methods, specifically the Tsukamoto Fuzzy Inference System (FIS), are capable of addressing uncertainty and subjectivity in the decision-making process. This study aims to analyze the application of the Max-Min implication function in the Tsukamoto fuzzy system to determine the category of underprivileged population based on income, number of dependents, and housing conditions. The results show that the use of the Max-Min implication function produces consistent, transparent, and reliable decisions to support government policy in distributing social assistance. Based on the test results, where Income = 1.5 million, Number of dependents = 5, and housing condition score = 4, the ability level of Mrs. Clu is included in the underprivileged category.
Implementasi Metode TOPSIS untuk Meningkatkan Objektivitas Sistem Pendukung Keputusan dalam Pemilihan Pegawai Teladan Sembiring, Elisabet Br; Tambunan, Esaday Gavinella Br; Siagian, Indah Enjelyna; Sembiring, Rafael Dekanta Yosafat; Ginting, Dewi Yohana br; Ginting, Lastri Marsely Br
Jurnal Sains dan Teknologi Informasi Vol 4 No 4 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i4.8448

Abstract

The selection of exemplary employees is an essential effort for organizations to improve performance, motivation, and work discipline. However, determining exemplary employees often encounters challenges due to subjectivity in the assessment process, which may result in decisions that do not fully reflect actual performance. To address this issue, a decision support system (DSS) is required to assist management in conducting evaluations objectively, systematically, and transparently. This study applies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, which measures the relative closeness of each alternative to the positive ideal solution and the negative ideal solution. The evaluation criteria include discipline, responsibility, communication, initiative, and job mastery. The calculation stages consist of decision matrix normalization, weighted matrix formation, determination of ideal solutions, and preference value calculation to obtain employee rankings. The results indicate that the TOPSIS method produces consistent and fair outcomes in determining exemplary employees. From the ranking table, it is shown that the highest preference value of 0.6511 was obtained by alternative V8, namely Dermansyah, who is therefore concluded to be the most suitable candidate for the exemplary employee award. Thus, this research provides a practical contribution to organizations by offering an efficient and accurate decision-making tool that minimizes subjectivity. In the future, this system can be further developed by integrating additional methods or web-based technology to enhance accessibility and applicability in various organizational contexts.
Penerapan Metode Analytic Network Process Pada Pendukung Keputusan Pengangkatan Guru Tetap Nurlela, Siti; Fania, Liza; Ananda, Aditya; Juanda, Muhammad; Sembiring, David JM
Jurnal Sains dan Teknologi Informasi Vol 4 No 4 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i4.8469

Abstract

The process of appointing honorary teachers as permanent teachers still faces various challenges, particularly concerning objectivity and transparency in decision-making. Many educational institutions continue to rely on manual evaluation methods to assess teacher eligibility, which are often subjective and lack measurable analytical foundations. Consequently, the appointment process does not always reflect the actual competence and performance of honorary teachers. Based on these issues, this study aims to develop a Decision Support System (DSS) based on the Analytical Network Process (ANP) method to assist schools and educational authorities in objectively, systematically, and accurately determining which honorary teachers are eligible for permanent appointment. The ANP method was chosen because it can map the interdependence among criteria and sub-criteria in the selection process. Data were collected through observation, interviews, and literature review, then processed using a pairwise comparison matrix to generate the priority weights of each criterion and alternative. The findings indicate that the ANP-based decision support system effectively improves speed, efficiency, and fairness in the teacher appointment process. The results show that the alternative Dwi Rokita achieved the highest score of 2.531439, making her the most eligible candidate for permanent appointment. Therefore, the application of the ANP method proves to be effective in supporting objective and accountable decision-making in the appointment of honorary teachers, while simultaneously contributing to the improvement of human resource quality in the education sector.
Pendukung Keputusan Dengan Perbandingan Metode WASPAS dan Metode MAUT pada Pemilihan Karyawan Baru Ilham, Safarul
Jurnal Sains dan Teknologi Informasi Vol 4 No 4 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i4.8470

Abstract

In searching for employee candidates who meet the desired criteria, a solution is needed to select prospective employees. The solution that can be done is to create a decision support system to simplify the process of selecting employee files that have been received. Decision Support Systems (DSS) that can help companies to select prospective employees who register using the comparison of the Weight Aggregated Sum Product Assessment (WASPAS) method is a combination of the WP and SAW methods, where the WP method is a method that uses multiplication in connecting the value of each attribute that must previously be raised to the power of the attribute's weighted value, while the SAW method is generally known as a weighted sum that focuses on calculating the sum of the weighted values ​​of alternative criteria, with the Multi-Utility Attribute Theory (MAUT) method being a quantitative method that is used as a basis for decision making through systematic procedures that identify and analyze several variables. In its application, the decision support system, comparing the WASPAS and MAUT methods in selecting prospective employees according to the given criteria, yielded alternative A5, but with different scores. The WASPAS method scored alternative A5 at 0.890, while the MAUT method scored 0.875.

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