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The Effect of Smart Grid Implementation on the Integration of New Renewable Energy in Indonesia's Electricity System Loso Judijanto; Sulaiman A; Usman Tahir
West Science Nature and Technology Vol. 2 No. 04 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i04.1537

Abstract

This study examines the effect of smart grid implementation on the integration of new renewable energy (NRE) in the Indonesian electricity system from the consumer's perspective. Using a qualitative approach, data were collected through interviews with five informants and analyzed with NVIVO software. The findings reveal that smart grids enhance renewable energy integration by improving energy efficiency, consumer participation, and environmental sustainability. However, challenges such as infrastructure readiness, affordability, and limited consumer awareness hinder adoption. Informants emphasized the need for government support, subsidies, and public education to accelerate implementation. This research highlights the critical role of consumers in achieving Indonesia's renewable energy targets and offers recommendations for stakeholders to foster a consumer-centric approach to smart grid deployment.
Simple Decision Making In Renewable Energy Planning Rahmad Surya Hadi Saputra; Sulaiman A; Usman Tahir; Loso Judijanto
Journal of Renewable Engineering Vol. 2 No. 1 (2025): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/2dtp3r72

Abstract

Renewable energy planning is a complex process, involving multiple dimensions, including natural resource availability, government policies, and socio-economic factors. This study emphasizes the importance of a decision-making approach that is not only technically based, but also considers the social and political factors that influence policy implementation. Decision-making in renewable energy planning is often hampered by information inequality between stakeholders, social resistance, and policy instability that can slow down a sustainable energy transition. Multi-Criteria Decision Making (MCDM) methods have been used to help stakeholders choose the best option, but overly technical approaches can be a barrier in developing countries. Therefore, simpler and more data-driven approaches, such as heuristic models, become more relevant in contexts of uncertainty. This research uses a descriptive qualitative approach through case studies to explore the dynamics of decision-making in renewable energy planning. Data were collected through in-depth interviews, focus group discussions (FGDs), and document analysis. The results show that transparency, open communication and stakeholder participation are essential to overcome social and political barriers and support effective and sustainable renewable energy policy implementation.
Literature Review: Integration of Hybrid Renewable Energy Systems in Remote Areas Sulaiman A; Minarti Minarti; Rahmad Surya Hadi Saputra
Journal of Renewable Engineering Vol. 2 No. 4 (2025): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/ex26fj18

Abstract

The availability of equitable and sustainable energy in remote areas is a major challenge for national development, primarily due to limited infrastructure and electricity access from conventional grids. Hybrid energy systems that combine renewable energy sources such as solar, wind, and microhydro with energy storage or diesel backup have emerged as an adaptive solution to address energy needs in off-grid areas. This study uses a qualitative approach based on literature to explore relevant hybrid energy system integration practices, challenges, and models across various geographic and social contexts. The study identifies that the success of hybrid system implementation is determined not only by its technological configuration but also by local social, economic, and institutional factors. Technological advances such as the Internet of Things (IoT) and smart energy management systems have contributed to improving system efficiency and reliability. However, obstacles remain in the form of limited funding, low public energy literacy, and weak supporting policies at the regional level. Through a thematic synthesis of the literature from the past five years, this study formulates a local energy ecosystem-based integration model that encompasses modular technology, multilevel policies, and community empowerment. These results are expected to serve as a strategic reference in promoting a just and sustainable energy transition in underdeveloped regions.