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All Journal Jurnal Teknik Lingkungan Pharmaciana: Jurnal Kefarmasian Jurnal Fisika Unand Jurnal Studi Al-Qur'an Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Sekretari Universitas Pamulang Jurnal Surya Kencana Dua: Dinamika Masalah Hukum & Keadilan Tangible Journal Kosala : Jurnal Ilmu Kesehatan Jutsi: Jurnal Teknologi dan Sistem Informasi Al-Mutsla: Jurnal Ilmu-Ilmu Keislaman dan Kemasyarakatan Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Pengabdian kepada Masyarakat International Journal of Scientific Multidisciplinary Research (IJSMR) Journal Of Indonesian Social Society Jurnal Ilmiah Multidisiplin Nusantara Dirkantara Indonesia Jurnal Sains Student Research EduInovasi: Journal of Basic Educational Studies Gudang Jurnal Pengabdian Masyarakat Indonesian Journal of Islamic Religious Education (INJIRE) Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health
Dewi Anggraeni
Universitas Indonesia
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A FUZZY LOGIC BASED EVALUATION MODEL FOR THESIS TOPIC FEASIBILITY TO ENHANCE STUDENT RESEARCH RELEVANCE Rizaldi; Dewi Anggraeni; Elly Rahayu
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 1 (2025): Desember 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i1.4293

Abstract

Abstract: The determination of thesis topics is a fundamental stage in academic research, yet the evaluation process remains predominantly manual and subjective. This reliance on individual lecturer perception often leads to inconsistent feasibility assessments and fails to systematically measure the topic's alignment with strategic needs. This research aims to develop a Decision Support System (DSS) model based on fuzzy logic to assess the feasibility of thesis topics objectively and systematically, focusing on enhancing the relevance of student research. The research method employed the Fuzzy Inference System (FIS) with the Sugeno method. This model was designed through literature review and FGD to establish four criteria (Topic Relevance, Difficulty Level, Idea Novelty, Reference Availability) and 81 rule bases. The model validation results against expert judgment using 15 test data showed a high accuracy rate of 91.31%, with a Mean Absolute Percentage Error (MAPE) value of 8.69%. In conclusion, this DSS model is proven to be valid and consistent, and it can be relied upon as an objective tool to improve the quality and relevance of thesis topics. Keywords: academic evaluation; decision support system; fuzzy logic; fuzzy sugeno; thesis feasibility Abstrak: Penentuan topik skripsi merupakan tahapan fundamental dalam penelitian akademik, namun proses evaluasinya hingga kini masih cenderung manual dan subjektif. Ketergantungan pada persepsi dosen secara individu sering kali menyebabkan penilaian kelayakan yang tidak konsisten serta kegagalan dalam mengukur keselarasan topik dengan kebutuhan strategis secara sistematis. Penelitian ini bertujuan mengembangkan model Sistem Pendukung Keputusan (SPK) berbasis logika fuzzy untuk menilai kelayakan topik skripsi secara objektif dan sistematis, dengan fokus pada peningkatan relevansi penelitian mahasiswa. Metode penelitian yang digunakan adalah Fuzzy Inference System (FIS) dengan metode Sugeno. Model ini dirancang melalui tinjauan pustaka dan Focus Group Discussion (FGD) untuk menetapkan empat kriteria (Relevansi Topik, Tingkat Kesulitan, Kebaruan Ide, Ketersediaan Referensi) serta 81 basis aturan. Hasil validasi model terhadap penilaian pakar menggunakan 15 data uji menunjukkan tingkat akurasi yang tinggi yaitu 91,31%, dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 8,69%. Kesimpulannya, model SPK ini terbukti valid dan konsisten, serta dapat diandalkan sebagai alat objektif untuk meningkatkan kualitas dan relevansi topik skripsi. Kata kunci: evaluasi akademik; sistem pendukung keputusan; logika fuzzy; fuzzy sugeno; kelayakan skripsi
Co-Authors Abdul Fadhil Abubakar Arief ACHMAD JAELANI RUSDI Ahmad ` Hakam Aliya Sandra Dewi Alvito Bastanta Amaliyah Amaliyah Andy Hadiyanto Aneng Yuningsih Anis Ansyori Arnolt Kristian Pakpahan, Arnolt Kristian Arridha Zikra Syah Dewi ANGGRAENI DEWI RAHMAWATI Dewi Safitri Diah Ayu Gustiningsih Dimala, Cempaka Putrie Dini Hariyanti Diniatik Edi Suherlan Ernawati Ernawati Ernawati, Eka Febri Febri Fita Rusdian Ikawati Fitroh Aida Amelia Guntur Maha Putra Harahap, Cicely Delfina Haryanti Mustika Hommy Dorthy Ellyany Sinaga Ibnu Amar Indah Mae Nur Falakh Khairul Abdi Sinuraya Kurniawati Lailaturrohmah Selan Laily Masruroh Lulub Nurkhaliza Magetsari, Ovy Noviati Nuraini Muh. Ade Putra Muhamad Parhan Muhamad Wahyu Ramdan Nada Dwiyasyah Nurhajijah Nurhajijah Rahayu, Elly Rahma Putri Kasimbara Ramadani Rengganis Ularan Rismayanti Rizaldi Rizaldi Rizaldi Saputra, Aditya Ilham Saragih, M. Subhan Saskia Azahra Fauziah Sekar Mayangsari Septia R Mutmainah Setyawan Purnomo Sakti Silvi Maharani Siti Iyah Fauziyah Siti Mainah Siti Suhartinah Spanton, Perdana Ixbal Sudarmin Sudarmin Suparmadi Suparmadi suparman suparman SUWITO SUWITO Syahban Rangkuti Syamsul Anwar Titik Aryati Vinola Herawaty Yuhelson Yuhelson