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All Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Abdurahman Abdurahman
Indraprasta Pgri University

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Penentuan Jumlah Produksi pada CV Rairaka Konveksi Menggunakan Metode Fuzzy Tsukamoto Sindi Apriantika Sari; Abdurahman Abdurahman; EK Ajeng Rahmi Pinahayu
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.958

Abstract

The CV Rairaka Konveksi system is currently still using a manual system. This causes the production quantity to be inaccurate due to demand uncertainty and fluctuations in raw material supply. There is a need for efforts to ensure that the production quantity can be calculated accurately. This research aims to design and build a decision support system to assist the CV Rairaka Konveksi in determining the optimal production quantity. The fuzzy Tsukamoto method is used because of its ability to handle uncertain data and provide output in crisp form. The research was conducted through stages of observation, interviews, system design, implementation, and testing. The system is designed with two input variables, namely demand and supply, and one output variable in the form of production quantity. The results of the testing by user application testing show that the system built is capable of providing accurate and efficient production quantity recommendations.
Klasifikasi Siswa Berprestasi Menggunakan Metode K-Nearest Neighbor pada SDN 06 Pagi Pasar Rebo Abdul Fatah Khoiron; Abdurahman Abdurahman; Acep Acep
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.2607

Abstract

The process of determining outstanding students at SDN Baru 06 Pagi has so far been done manually, requiring a relatively long time and potentially resulting in less objective assessments. This research aims to facilitate the school in classifying students as high-achievers and low-achievers at SDN Baru 06 Pagi. Therefore, this research applies the K-Nearest Neighbor (KNN) method as a classification method by comparing test data against training data that has been labeled as high-achieving and low-achieving based on proximity values. The research results indicate that the developed application is capable of assisting the school in determining students' achievement status more effectively, quickly, and objectively. The model's performance evaluation resulted in an accuracy of 85.48%, a precision of 82.69%, a recall of 100%, and an F1-score of 90.53%. Based on these evaluation results, the K-Nearest Neighbor method has excellent performance and is suitable to be applied as a decision support tool in the classification of high-achieving students.
Co-Authors Abdul Fatah Khoiron Acep Acep EK Ajeng Rahmi Pinahayu Sindi Apriantika Sari