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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

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

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.
Implementasi Fp-Growth Untuk Analisa Pola Penjualan Pupuk Dan Obat-Obatan Pertanian Pada UD. Suka Tani Meta Johanry Sitepu; Syahril, Muhammad; Calam, Ahmad
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 6 (2025): EDISI NOVEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i6.11756

Abstract

UD. Suka Tani merupakan usaha dagang yang bergerak dibidang distribusi pupuk dan obat-obatan pertanian. Pengolahan data penjualan yang kurang optimal menyulitkan dalam mengenali pola pembelian konsumen. Penelitian ini menggunakan algoritma FP-Growth untuk menganalisis data transaksi penjualan bulan September 2024 guna mendukung pengelolaan stok dan strategi penjualan. Sistem berbasis web dibangun untuk melakukan analisis secara otomatis, dengan mempertimbangkan nilai minimum support dan confidence. Hasil penelitian menunjukkan bahwa algoritma FP-Growth efektif dalam menemukan pola pembelian produk, menghasilkan aturan asosiasi, dan mendukung pengambilan keputusan yang lebih efisien di UD. Suka Tani.
Factors Influencing Employee Job Satisfaction: Literature Review Syahril, Muhammad
International Journal of Business, Technology and Organizational Behavior (IJBTOB) Vol. 5 No. 1 (2025): April | International Journal of Business, Technology and Organizational Behavi
Publisher : Garuda Prestasi Nusantara Consulting

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52218/ijbtob.v5i1.364

Abstract

Abstract: Previous research has the function of strengthening the theory and facts regarding the relationship or influence between the variables studied. This article examines the factors that influence employee job satisfaction, namely: work-life balance, organizational culture and leadership style, a study of Human Resource Management literature. Discussion of this theme is considered important considering the many parties who have studied the same or relevant discussion, because they believe in the importance of understanding how to create job satisfaction for employees and what factors influence it. The results of this literature review article are: 1) Work-life balance influences job satisfaction; 2) Organizational culture influences job satisfaction; and 3) Leadership style influences job satisfactionKeywords: Job Satisfaction, Work-life Balance, Organizational Culture, Leadership Style
Facilitating the Development and Utilization of a Digital Business Application Asiati, Diah Isnaini; Syahril, Muhammad; Reza, Muhamad Okto; Putridhinata, Zeva Apriliya; Sahputra, Rendy
Altifani Journal: International Journal of Community Engagement Vol. 6 No. 1 (2026): Altifani Journal: International Journal of Community Engagement
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/altifani.v6i1.1717

Abstract

The utilization of the internet has undergone significant transformation,  particularly in relation to changes in digitalization-based transaction techniques. These techniques have been rapidly adopted by business actors and effectively utilized to understand and develop markets through the use of business applications. Although business applications are not unfamiliar methods, many business actors still do not fully understand them and are not skilled in utilising them in conducting daily transactions. One such group consists of Micro, Small, and Medium Enterprises (MSEMs/UMKM) that are members of the Nasyiatul 'Aisyiyah Entrepreneurs Association (APUNA)  under the coordination of the Nasyiatul 'Aisyiyah Regional Leadership (PD NA) in Palembang City. Therefore, mentoring activities on the use of digital business applications, particularly sales applications, were carried out for APUNA members. The method used in this community service activity involved the delivery of theoretical materials followed by practical mentoring through four stages: (1) a survey to identify business constraints (revealing a strong need for digital marketing training), (2) socialization covering concepts and practices of business digitalization, (3) discussion to ensure shared understanding, and (4) hands-on practice in using sales applications. The results show that this mentoring activity improved APUNA members' skills in using sales applications increasing from 11.8% to 58.8%.