cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Abdi Rahim Damanik
Contact Email
abdirahimdmk@gmail.com
Phone
+6285767845317
Journal Mail Official
admin@jrsikom.my.id
Editorial Address
Jl Purwo, Karangsari, Simalungun, Sumatera Utara
Location
Kab. simalungun,
Sumatera utara
INDONESIA
(JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer
Published by Siantar Codes Academy
ISSN : -     EISSN : 3090076X     DOI : 10.180997/jrsikom.v1i3
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mathematics
JRSIKOM: Jurnal Riset Sistem Informasi dan Aplikasi Komputer adalah jurnal Nasional dalam bahasa indonesia dengan frekuensi terbitan sebanyak 4 (kali) kali dalam Setahun. Jurnal ini bertujuan untuk mempublikasikan hasil penelitian terbaik anda agar bisa dibaca oleh banyak orang. Jurnal JRSIKOM hanya menerbitkan artikel dengan tema komputer. Ruang lingkup publikasi ini meliputi : Teori Komputasi (Computational Theory, Arsitektur dan Organisasi Komputer (Computer Architecture and Organization), Sistem Operasi (Operating Systems), Jaringan Komputer (Computer Networks), Basis Data (Database Systems), Keamanan Komputer (Computer Security), Grafika Komputer (Computer Graphics), Kecerdasan Buatan (Artificial Intelligence), Pemrosesan Bahasa Alami (Natural Language Processing), Pemrograman (Programming), Sistem Informasi (Information Systems), Ilmu Data (Data Science), Pengembangan Perangkat Lunak (Software Development), Komputasi Awan (Cloud Computing), Komputasi Kuantum (Quantum Computing)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 33 Documents
 1   2   3   4 
DECISION SUPPORT SYSTEM FOR SERVICE QUALITY ASSESSMENT AT SUSHI XYZ RESTAURANT USING THE FUZZY MAMDANI METHOD Nadya, Nadya; Karimah, Aisya Cahya; Saragih, Abil Ghozali; Nainggolan, Arilius Kasdar
(JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer Vol. 1 No. 2 (2025): Volume 1 Nomor 2 Tahun 2025
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Service quality assessment is essential for maintaining the competitiveness of Sushi XYZ restaurant. However, manual evaluations often face challenges such as subjectivity and inconsistency. This study implements the Fuzzy Mamdani method to develop a Decision Support System (DSS) that provides objective and measurable evaluations based on three main criteria: Service Speed, Friendliness, and Cleanliness. The process begins with fuzzification to convert numerical data into fuzzy categories, followed by rule-based inference using IF-THEN logic, and concludes with defuzzification using the centroid method to produce a crisp output value. The results show that Respondents A and E fall into the "Good" category, while Respondent D is classified as "Poor," with recommendations for improvement in Friendliness and Cleanliness. Respondents B and C are in the "Fair" category. This system provides valuable insights for Sushi XYZ management to enhance service quality through time optimization, staff training, and cleanliness maintenance. The Fuzzy Mamdani approach enables systematic, targeted decision-making that supports continuous improvement in service delivery.
Assessment of Student Learning at Nusantara Private Junior High School Tanah Jawa Using the Fuzzy Tsukamoto Method Purba, Jodika Putra Markus; Nailah Hafsah; Harahap, Nesa Pratiwi; Nurhalizah, Shanda; Andani, Sundari Retno
(JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer Vol. 1 No. 2 (2025): Volume 1 Nomor 2 Tahun 2025
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Student learning assessment is an essential part of the educational process, aimed at determining the achievement of student competencies. However, in practice, assessments often involve elements of subjectivity, particularly in evaluating attitude and participation. Therefore, an approach capable of handling uncertainty and imprecise data is needed. This study aims to develop a student learning assessment system using the Fuzzy Tsukamoto method at Nusantara Private Junior High School Tanah Jawa. The system uses three input variables: assignment scores, exam scores, and student participation. The output of the system is categorized into four assessment levels: Poor, Fair, Good, and Excellent. The results of this study indicate that the Fuzzy Tsukamoto approach can produce outcomes consistent with teacher evaluations and help improve the objectivity of student assessments.
EVALUATION OF SOCIAL ASSISTANCE RECIPIENT ELIGIBILITY BASED ON INCOME AND NUMBER OF DEPENDENTS USING THE FUZZY MAMDANI APPROACH Andhini, Avrillia; Amelia, Alin; Antika, Anggi; Harianja, Lexa; Andani, Sundari Retno
(JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer Vol. 1 No. 2 (2025): Volume 1 Nomor 2 Tahun 2025
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to evaluate the eligibility of social assistance recipients by considering income and family dependents using the Mamdani fuzzy logic approach. A key issue in the current selection process of social assistance recipients lies in the limitations of binary classification methods, which are rigid and incapable of fully representing the diversity of socioeconomic conditions in society. By applying the Mamdani fuzzy method, this research incorporates linguistic variables such as "low income" and "large number of dependents" into a more adaptive and continuous assessment system.The study employs primary data collected from 20 respondents, with income ranging from Rp100,000 to Rp900,000 and family dependents ranging from 1 to 6 individuals. The developed fuzzy model uses three membership functions for each input and output variable to enhance the system’s sensitivity to data variations. Fuzzy inference is conducted based on Mamdani rules, while defuzzification utilizes the centroid method to produce eligibility scores on a continuous scale of 0 to 100. The findings demonstrate that the Mamdani fuzzy approach yields a more equitable, transparent, and realistic classification of eligibility for social assistance.As a practical contribution, this study also provides a MATLAB script implementation that can be easily adapted and applied by local governments or social organizations in data-driven selection processes for social assistance recipients.

Page 4 of 4 | Total Record : 33

 1   2   3   4 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 1 No. 2 (2025): Volume 1 Nomor 2 Tahun 2025 Vol. 1 No. 1 (2025): Volume 1 Nomor 1