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All Journal Jurnal Intelek Dan Cendikiawan Nusantara Riau Jurnal Teknik Informatika
Yudistira Sira Permana
Universitas Siguntang Mahaputra
Computer Science & IT Other

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Implementasi K-Nearest Neighbors (KNN) untuk Prediksi Kerusakan dan Perencanaan Peremajaan Alat Berat Yudistira Sira Permana; Yussi Rapareni; Muhammad Syahril
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 3 No. 01 (2026): Februari - Maret 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Industri pertambangan sangat bergantung pada keandalan alat berat. Permasalahan utama di XXX Group adalah tingginya unplanned downtime akibat strategi perawatan reaktif. Penelitian ini bertujuan mengintegrasikan predictive maintenance menggunakan algoritma K-Nearest Neighbors (KNN) untuk memprediksi kerusakan dan merencanakan peremajaan alat berat. Sistem dikembangkan menggunakan metode Agile dengan enam variabel prediktor: jam operasi, tahun alat, frekuensi perbaikan, jenis kerusakan, kondisi lingkungan, dan status akhir tahun. Hasil pengujian dengan parameter K=5 dan jarak Euclidean menunjukkan sistem mampu mengklasifikasikan kelayakan alat secara akurat. Pada studi kasus unit EXC-026, sistem mendeteksi anomali (3 parameter Kritis, 2 Waspada) dan merekomendasikan "Perlu Peremajaan" dengan probabilitas kerusakan 100% berdasarkan 5 tetangga terdekat. Implementasi ini mentransformasi perawatan di XXX Group menjadi proaktif, meminimalisir biaya tak terduga, dan memberikan landasan presisi untuk keputusan peremajaan aset.
Aplikasi Smart Title Checker Laporan Mahasiswa Menggunakan Metode Cosine Similarity Berbasis Website Pada Politeknik Xyz Yudistira Sira Permana; Muhammad Syahril; Agus Setiawan
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4597

Abstract

The increasing number of student final reports each year presents challenges for higher education institutions in maintaining the uniqueness and novelty of proposed titles. The title-checking process, which is still commonly conducted manually, tends to require considerable time and may lead to inconsistencies in the validation process. This study aims to design and develop a web-based Smart Title Checker application capable of detecting the similarity level of student report titles using the Cosine Similarity method. This method is applied to measure the similarity between titles, thereby supporting a more objective validation process. The system development was carried out through several stages, including requirements analysis, design, implementation, and application testing. The results show that the application can perform title similarity checking quickly and accurately by displaying similarity percentages against stored title data in the database. The system implementation also helps students obtain initial information regarding potential title similarities and improves the efficiency of the validation process conducted by academic administrators. Therefore, the developed application can support more effective, efficient, and structured management of student report titles.
Co-Authors Agus Setiawan Muhammad Syahril Yussi Rapareni