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Pengaruh Inovasi dan Implementasi Energi Baru Terbarukan terhadap Produktivitas Proses: Uji Moderasi Biaya Aliyuddin, Ali; Widhi Handani, Dhimas
Techno Bahari Vol 11 No 2 (2024)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v11i2.319

Abstract

Indonesia memiliki potensi sumber energi primer dalam mendukung industri, yaitu minyak bumi dan batu bara. Namun, potensi sumber energi ini menurun sekitar 0,15% per tahun. Penelitian ini bertujuan untuk menciptakan model hubungan antar variabel dalam suatu model yang dapat diprediksi dan diuji untuk hubungan antar variabel dan menentukan kausalitas antara variabel inovasi dan implementasi energi baru terbarukan terhadap produktivitas proses dengan variabel biaya sebagai pemoderasi pada UKM di beberapa wilayah Indonesia terpilih. Sampel penelitian adalah 87 tempat usaha, dan metode yang digunakan adalah Partial Least Square (PLS). Penelitian ini menunjukkan bahwa inovasi dan implementasi energi terbarukan berpengaruh pada produktivitas proses, dimana aspek biaya akan menjadi kekuatan pendorong dan pertimbangan dalam percepatan variabel independen.
Risk Analysis of The Implementation of Electricity Infrastructure Construction Case Study: Gistet 500 Kv Payton Kuncoro, Fahmi; Widhi Handani, Dhimas
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 4 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i3.8988

Abstract

This research analyzes the construction risks of the 500 kV Paiton High Voltage Substation (GISTET) and develops the most optimal risk treatment based on the risk management standard SNI 8615:2018. The research variables were derived from a literature review, followed by the Delphi Technique questionnaire to identify relevant risks from respondents. Subsequently, a qualitative analysis was conducted using the Consequence/Probability Matrix to identify the dominant risks, followed by a quantitative analysis using the Expected Monetary Value (EMV) calculation. The determination of the most optimal risk treatment for each dominant risk was obtained through Decision Tree Analysis (DTA). The research results identify 38 relevant risks, with 10 classified as dominant, categorized as high, very high, and extreme risks. The three risks with the highest EMV impact values are project execution time not aligning with the project schedule, suboptimal contractor performance, and delays in the arrival and mobilization of materials to be installed.  The study's implications underscore the importance of proactive risk management in large-scale construction projects, aiming to minimize potential losses and ensure project success.