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ANALISIS MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANAYSIS (MOORA) DALAM MODEL REKOMENDASI EKSTRAKURIKULER SISWA Idaman, Akbar; Zarkasyi, Muhammad Imam; Aurlani, Febry; Arahman, Hamjah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4665

Abstract

Abstract: This research applies the Multi Objective Optimization On the Basis of Ratio Analysis (MOORA) method to determine the appropriate extracurricular activity recommendations at XYZ School, aiming to facilitate data-driven decision-making in selecting extracurricular activities that align with students' interests and talents. The methodology includes data collection through observation and interviews, followed by the application of the MOORA method to process data on students' interests, talents, creativity, and potential involvement in extracurricular activities. The results show that the application of the MOORA method produces objective and systematic rankings of the available extracurricular activities based on the established criteria. The Scouting activity, with the highest value (Yi = 0.4821), was found to be the most suitable activity for students' profiles, followed by Arts and Paskibra. The MOORA method proves effective in providing more accurate and efficient extracurricular activity recommendations, addressing issues in previous subjective and ad-hoc decision-making processes. This study concludes that the application of MOORA can enhance the quality of decisions in selecting extracurricular activities, potentially enriching students' experiences and skill development.Keyword: MOORA; Extracurricular recommendations; Decision-making; Decision support system; Education.Abstrak: Penelitian ini mengaplikasikan metode Multi Objective Optimization On the Basis of Ratio Analysis (MOORA) untuk menentukan rekomendasi kegiatan ekstrakurikuler yang tepat di Sekolah XYZ, dengan tujuan untuk mempermudah pengambilan keputusan berbasis data mengenai kegiatan ekstrakurikuler yang sesuai dengan minat dan bakat siswa. Metodologi penelitian ini melibatkan pengumpulan data melalui observasi dan wawancara, serta penerapan metode MOORA untuk mengolah data mengenai minat, bakat, kreativitas, dan potensi keterlibatan siswa dalam kegiatan ekstrakurikuler. Hasil penelitian menunjukkan bahwa penerapan metode MOORA dapat menghasilkan peringkat yang objektif dan sistematis terhadap kegiatan ekstrakurikuler yang tersedia, berdasarkan kriteria yang ditetapkan. Kegiatan Pramuka, dengan nilai tertinggi (Yi = 0,4821), dinilai sebagai kegiatan yang paling sesuai dengan profil minat dan bakat siswa, diikuti oleh Kesenian dan Paskibra. Metode MOORA terbukti efektif dalam memberikan rekomendasi kegiatan ekstrakurikuler yang lebih tepat dan efisien, mengatasi masalah pemilihan yang sebelumnya bersifat subjektif dan ad-hoc. Penelitian ini menyimpulkan bahwa penerapan MOORA dapat meningkatkan kualitas keputusan dalam pemilihan kegiatan ekstrakurikuler, yang berpotensi memperkaya pengalaman dan pengembangan keterampilan siswa.Kata kunci: MOORA; Rekomendasi ekstrakurikuler; Pengambilan keputusan; Sistem pendukung keputusan; Pendidikan.
Evaluating Inclusive Public Services In Medan City Using CoCoSo Method Arahman, Hamjah; Hirzi, M. Fakhrul; Monica, Eka Syafrina
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9241

Abstract

Ensuring the inclusiveness of public services remains a critical challenge in urban governance, particularly in decentralized regions characterized by unequal access and service quality. This study evaluates the level of public service inclusivity across sub-districts in Medan City using the Multi-Criteria Decision Making (MCDM) approach, specifically the Combined Compromise Solution (CoCoSo) method. The evaluation is based on ten inclusivity criteria covering physical and digital accessibility, service availability for vulnerable groups, service quality, transparency, community participation, and service innovation. The study employs primary data obtained through direct observations and semi-structured interviews with service users and stakeholders, as well as secondary data derived from official statistics and government documents. CoCoSo integrates the Weighted Sum Model (WSM) and Weighted Product Model (WPM) to generate stable and objective rankings of 21 sub-districts. The final CoCoSo scores range from 0.7262 to 10.7427. The results indicate that Medan Maimun and Medan Petisah achieved the highest and identical scores of 10.7427, reflecting strong performance in accessibility, service quality, and supporting infrastructure. In contrast, several sub-districts exhibit relatively low inclusivity scores, highlighting persistent disparities in service distribution and limited community participation. These findings underscore the need for targeted infrastructure development, expansion of inclusive digital services, and strengthening participatory feedback mechanisms to enhance equitable public service delivery. This study contributes a structured evaluation framework that can support evidence-based policymaking and regular monitoring of public service inclusivity at the local government level.