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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Informatika dan Teknik Elektro Terapan Journal of Informatics Management and Information Technology
Oky Kurniawan
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Computer Science & IT Engineering

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Analisis Tegangan Lebih Transien Impuls Pada Mixed Transmission Line (SUTT-SKTT) 150 KV Menggunakan Software ATP-EMTP Oky Kurniawan; Fri Murdiya
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

The distribution of electrical power from the power plant to the center of the load on the transmission line can occur the electrical fault. This fault that often occurs is a transient overvoltage caused by a direct lightning stroke. Lightning stroke can cause the lightning impulses which are the dominant factor in generating the transient over voltages on 150 kV overhead lines compare to the high voltage cable lines. This investigation studied the effect of lightning stroke on the 150 kV mixed transmission lines using the ATP-EMTP (Alternative Transient Program – Electromagnetic Transient Program) software . The data analysis is carried out by simulating all line parameters and evaluating the transient overvoltage value on the transmission lines. It is shown that the highest transient overvoltage occurs when the lightning strikes on the ground static wires compared to when the lightning strikes on the phase wires. It is also shown that the use of the 150 kV mixed-lines can decrease the overvoltage caused by the direct lightning stroke. The installation of arresters on the transmission towers provides a significant reduction in over voltage caused by lightning stroke.Keywords : arrester, ATP-EMTP, lightning, mixed transmission lines, transient over voltage.
Pemodelan dan Prediksi Tingkat Pengangguran Menggunakan Pendekatan Hibrida GARCH dan BSTS Priyatna, Ade; Eva Zuraidah; Besus Maula Sulthon; Oky Kurniawan
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.699

Abstract

This study aims to understand and predict the unemployment rate patterns based on educational background in Indonesia between 1986 and 2024, with a focus on university graduates. The data, which was initially complex, was successfully processed into a format ready for time series analysis, and the GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model was applied to measure the volatility of unemployment. The evaluation results show that the GARCH model's assumption regarding the stability of the average unemployment rate is inaccurate, as evidenced by the large error values (RMSE 283209.26 and MAE 246252.37), indicating that this model does not fully capture the fluctuations in unemployment. The average coefficient (mu) is 436.50, and the log-likelihood is -284.05, with conditional volatility forecast values ranging from approximately 1.91e+11 to 2.79e+11. The Bayesian Structural Time Series (BSTS) model was also applied to decompose the data into long-term trend components and seasonal patterns, providing a clearer picture of unemployment movement. However, technical constraints in the implementation of BSTS using TensorFlow Probability resulted in predictions not being completed. Nevertheless, this analysis shows that the unemployment rate of university graduates is highly volatile, and improvements in the GARCH model, as well as resolution of the technical constraints in the BSTS model, are crucial for generating more accurate and reliable predictions.
PENERAPAN TEKNOLOGI INTERNET OF THINGS (IOT) SEBAGAI PENUNJANG UTAMA KEHIDUPAN DIGITAL ANALISIS POTENSI, IMPLEMENTASI, DAN TANTANGAN Prasetyo Adi Nugroho; Frengki Pernando Frengki; Oky Kurniawan; Yudha Aditya Nugraha
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10209

Abstract

Transformasi digital telah menjadi agenda utama dalam pembangunan nasional maupun global, di mana integrasi teknologi canggih menjadi kunci untuk meningkatkan efisiensi, produktivitas, dan kualitas layanan. Salah satu teknologi yang memegang peranan sentral dalam proses ini adalah Internet of Things (IoT), yaitu konsep di mana berbagai perangkat fisik terhubung ke jaringan internet dan dapat saling bertukar data serta melakukan tindakan otomatis. Penelitian ini bertujuan untuk menganalisis bagaimana penerapan teknologi IoT dapat mendorong keberhasilan proses digitalisasi di berbagai sektor, mengidentifikasi manfaat yang dihasilkan, serta menguraikan tantangan yang masih dihadapi dalam implementasinya di Indonesia. Metode penelitian yang digunakan adalah penelitian kualitatif deskriptif dengan pendekatan studi literatur dan analisis kasus nyata di beberapa sektor strategis seperti pemerintahan, industri, pertanian, dan kesehatan. Hasil penelitian menunjukkan bahwa penerapan IoT mampu mengubah cara kerja sistem secara signifikan, mengurangi kesalahan manusiawi, mempercepat proses pengambilan keputusan berbasis data, dan membuka peluang inovasi baru. Namun, masih terdapat hambatan seperti infrastruktur jaringan yang belum merata, biaya investasi awal yang tinggi, serta masalah keamanan dan privasi data yang perlu diselesaikan agar manfaat teknologi ini dapat dirasakan secara menyeluruh. Penelitian ini memberikan kontribusi berupa rekomendasi bagi pemangku kepentingan dalam merumuskan kebijakan dan strategi penerapan IoT yang efektif dan berkelanjutan.
Co-Authors Ade Priyatna Besus Maula Sulthon Eva Zuraidah Frengki Pernando Frengki Fri Murdiya, Fri Prasetyo Adi Nugroho Yudha Aditya Nugraha