Claim Missing Document
Check
Articles

Found 32 Documents
Search

Optimizing TikTok and Instagram to Gain Election Voter Support in Ubung Kaja Village Pancane, I Wayan Dikse; Suriana, I Wayan; Adrama, I Nyoman Gede
Indonesian Journal of Society Development Vol. 3 No. 2 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijsd.v3i2.8702

Abstract

Elections are a general voting process conducted by the people to choose leaders and representatives who will govern the country. But it is also often considered as the generation that is most indifferent to political issues and does not want to take advantage of the right to vote in elections. Instagram is a photo and video sharing application that also has similar features to Tiktok, such as Stories, Reels and IGTV. According to data published by the website We are Social - Hootsuit in February 2022, out of Indonesia's population of 277.7 million people, there are 191.4 million people who actively use social media with a percentage of 68.9%. Through the implementation of election marketing strategies in the era of social media, there have been positive changes in the understanding, awareness, and participation of the Ubung Kaja village community. It is hoped that these improvements can have a positive impact on the democratic process and result in more inclusive and representative elections
Prediction of Remaining Life of Transformer at PLTU Suralaya Unit 6 Using Tan Delta Method at 1 mHz and Degree of Polymerization Calculation Yusrizal, Amri; Abiyasa, Agus Putu; Suriana, I Wayan; Adrama, I Nyoman Gede
Journal of Development Research Vol. 9 No. 2 (2025): Volume 9, Number 2, November 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v9i2.469

Abstract

Assessing the insulation condition of power transformers is crucial for maintaining the reliability of electrical power systems. This research aims to predict the remaining life of the transformer at PLTU Suralaya Unit 6 by integrating the measurement of the dissipation factor (tan δ) using Dielectric Frequency Response (DFR) testing at ultra-low frequency (1 mHz = 0.001 Hz) and estimating the Degree of Polymerization (DP) through empirical correlation. The DFR measurements were performed with the OMICRON DIRANA device (frequency range 0.1 mHz–1 kHz) and validated against tan δ measurements at 50 Hz using OMICRON CPTD equipment. The dissipation factor at 1 mHz was extracted and converted to an estimated DP value through a validated regression model. Results show a DP value of approximately 302, indicating advanced degradation of the cellulose insulation. This corresponds to an estimated remaining life percentage of 29.68%, equivalent to an operational lifespan of roughly 11.87 years before reaching the end-of-life threshold. The study confirms that ultra-low-frequency DFR testing combined with DP estimation provides a non-destructive and effective approach for transformer remaining life prediction. It is recommended to implement condition-based monitoring and supplement with oil chemical analysis (e.g., furan compounds) and other diagnostic methods to enhance prediction accuracy and support proactive asset management.