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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Rahmad Santoso
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Evaluasi Tingkat Keandalan Jaringan Distribusi 20 kV Pada Gardu Induk Bangkinang Dengan Menggunakan Metode FMEA (Failure Mode Effect Analysis) Rahmad Santoso; Nurhalim Nurhalim
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 2 (2016): Wisuda Oktober Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Reability evaluation has purposed to find out the level of reliability in distribution system. This research conducted at 20 kV radial distribution system in Bangkinang Substation with FMEA (Failure Mode Effect Analysis). The reability calculation will be compared to PT PLN Standart procedure and its target to be WCS (World Class Service). The reability index are used SAIFI (System Average Interruption Frequency Index) and SAIDI (System Average Interruption Duration Index). The method is gathering the data, data proccessing, and analysis. The SAIFI of four feeders in Bangkinang Substation has not reached the PLN standart 68-2 : 1986 which is 3,2 times/years/costumer. For SAIDI that already reached the requirement is 21 hours/years/costumer only Candika Feeder, Pahlawan, and Salo. While, PT PLN Target to get WCS (World Class Service) with 1.2 times/years/costumer for SAIFI and 0.83 hour/years/costumer for SAIDI, all of the feeder in Bangkinang substation still far from the target.Key words : distribution system, reability, FMEA, SAIFI, SAIDI
Rancang Bangun Alat Penghitung Benih Ikan Lele Otomatis Hari Mukti, Agung; HISBULLOH AHLIS MUNAWI; RAHMAD SANTOSO
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 9 No. 3 (2025): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/bs8fz948

Abstract

Penghitungan benih ikan lele merupakan salah satu proses penting dalam kegiatan pembenihan yang memerlukan ketelitian tinggi. Penghitungan secara manual tidak hanya memakan waktu, tetapi juga rawan kesalahan akibat faktor kelelahan dan keterbatasan manusia. Untuk mengatasi masalah ini, dikembangkan sebuah alat penghitung benih ikan lele otomatis berbasis sensor dan teknologi pengolahan citra digital. Alat ini dirancang untuk menghitung benih ikan secara real-time ketika melewati saluran air transparan, dengan memanfaatkan sensor infrared untuk mendeteksi serta mencatat jumlah benih yang lewat. Hasil perhitungan ditampilkan secara digital. Penggunaan alat ini terbukti mampu meningkatkan efisiensi, akurasi, dan kecepatan dalam proses penghitungan benih, sehingga sangat membantu dalam meningkatkan produktivitas kegiatan pembenihan ikan lele. Inovasi ini menjadi solusi tepat guna dalam mendukung modernisasi budidaya perikanan di era digital.
Classification and Interpretability of Employee Burnout Using Linear Discriminant Analysis Rochmawati, Dwi Robiul; Muhammad Al Adib; Diyo Mollana Fazri; Bill Raj; Romi Antoni; Rahmad Santoso; Wahyu Saptha Negoro
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.811

Abstract

Employee burnout has become a critical challenge in modern organizations due to its negative impact on employees’ mental well-being, work performance, and organizational sustainability. In many workplaces, burnout identification still relies on subjective assessments and retrospective surveys, limiting the effectiveness of early intervention strategies. This study aims to develop an employee burnout risk classification model that achieves high predictive performance while maintaining strong interpretability. Linear Discriminant Analysis (LDA) is employed as the primary method because of its ability to separate classes optimally and provide explicit discriminant coefficients for explanatory analysis. The study utilizes a secondary dataset from the Mental Health in Workplace Survey, consisting of 3,000 employee records and 15 variables related to job characteristics, psychosocial factors, and individual conditions. The dataset is divided into training and testing sets with an 80:20 ratio. Experimental results show that the LDA model achieves an accuracy of 96.17%, with a precision of 89.50%, recall of 100%, F1-score of 94.46%, and an AUC value of 0.9988, indicating excellent classification capability. Further analysis of discriminant coefficients reveals that individual burnout indicators, job roles, work–life balance, and career growth opportunities are the most influential factors in determining burnout risk. These findings demonstrate that LDA offers an effective and interpretable approach for early burnout detection and supports evidence-based decision-making for human resource management.
Co-Authors Bill Raj Diyo Mollana Fazri Dwi Robiul Rochmawati Hari Mukti, Agung Hisbulloh Ahlis Munawi Muhammad Al Adib Nurhalim Nurhalim Romi Antoni Wahyu Saptha Negoro