Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Energy Indonesian Journal of Electrical Engineering and Computer Science International Journal of Renewable Energy Development
Hesty, Nurry Widya
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Wind-powered water pumping system for corn plantations under the food estate program on Sumba Island, Indonesia Aziz, Amiral; Rostyono, Didik; Zaky, Toha; Hesty, Nurry Widya; Ifanda, Ifanda; Fauziah, Khotimatul; Prasetyo, Ridwan Budi; Wijayanto, Rudi Purwo; Witjakso, Ario; Syawitri, Taurista Perdana; Mayasari, Agustina Putri
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp4940-4955

Abstract

The Food and Agriculture Organization (FAO) released a communiqué in March 2020 cautioning about the possibility of a worldwide food emergency due to coronavirus disease (COVID-19). As a response to the food shortages brought on by the COVID-19 outbreak, the authorities of Indonesia initiated a nationwide program aimed at improving the country's food supply known as the food estate (FE), which was later incorporated into national strategic programs. The climate and availability of surface water sources in this region make establishing an FE area in the Central Sumba Regency difficult. Sumba, on the other hand, possesses wind energy resources that can be transformed into electrical energy and used to pump underground water for agricultural purposes. A wind-powered water pump (WPW) is being developed in this study to provide water for maize plantations in the FE region in Central Sumba District, Indonesia. The study on the levelized cost of energy (LCOE) for water pumping indicates that the wind-powered system is more economically viable than the diesel-powered alternative. The LCOE for a WPW pumping system is 6,994 IDR/kWh, whereas the LCOE for a diesel-powered system is 16,667 IDR/kWh. The overall net present value of WPW and diesel-powered systems is 708,667,200 IDR and 2,158,349,000 IDR, respectively. This study contributes significantly to informed decision-making for enhancing the performance viability of the wind water pumping system for the food estate program in Indonesia.
Renewable energy in sustainable cities: Challenges and opportunities by the case study of Nusantara Capital City (IKN) Yudiartono, Yudiartono; Santosa, Joko; Fitriana, Ira; Wijaya, Prima Trie; Rahardjo, Irawan; Abdul Wahid, La Ode Muhammad; Siregar, Erwin; Hesty, Nurry Widya; Fithri, Silvy Rahmah; Sugiyono, Agus
International Journal of Renewable Energy Development Vol 13, No 6 (2024): November 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60390

Abstract

This study explores strategies for optimizing energy consumption in Indonesia's New Capital City (IKN) to achieve net zero emissions by 2045, focusing on energy efficiency, sustainable mobility, and renewable energy through the Low Emissions Analysis Platform (LEAP) model. Sustainable cars, such as renewable-energy-powered electric and green hydrogen-powered vehicles, can reduce energy consumption by 43% in 2045 and 33% in 2060, respectively, compared to BAU. GHG emissions per capita will drop 70% in 2045 and 63% in 2060. In NZE scenario, IKN can reach 100% green energy by 2045 with a 4.4 GW solar power plant, a 0.92 GWh BESS, and a full load hour capability of 4 hours. By 2045, 1.1 GW of hydropower and 143 MW of wind power are expected to be utilized. In 2060, hydropower will be 2.8 GW, wind power will be 184 MW, and solar power will be 8 GW with 1.6 GWh of BESS. Lack of legislation, technical expertise, high prices, inadequate grid infrastructure, and renewables shortfalls restrict Indonesia's BESS. Solar installation criteria, subsidies, and off-grid project incentives can all help ease BESS use. Forecasts predict 0.53 GW of rooftop solar PV capacity by 2045 and 3.35 GW by 2060. Net metering and solar tariffs boost rooftop solar system profitability. One ton of green hydrogen production requires 55.7 MWh from a solar power plant. Solar power plant capacity will rise to 0.49 GW by 2045, producing 19,359 tons of green hydrogen, and almost quintuple to 89,594 tons by 2060. Hydrogen generation, storage, transit, and distribution require specific infrastructure due to high capital costs and a lack of networks, yet interest in them is growing.
Clean Cooking and the Rice Cooker Programme: An Evaluation and Policy Perspective Suntoro, Dedi; Nugroho, Wahid Pinto; Darmaji; Hadiyanto, Fuad; Priyono; Farandy, Alan Ray; Zainuddin, Hazan Azhari; Hesty, Nurry Widya; Sinaga, Paber; Norhadi, Lutfi; Sriyanto, Nanto
Indonesian Journal of Energy Vol. 8 No. 2 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Clean cooking is a critical agenda for enhancing access to clean energy in developing nations. In 2023–2024, the Indonesian government implemented a programme to distribute free rice cookers to underprivileged communities, yet this initiative has not previously been evaluated. This study addresses that gap by examining the impact of the rice cooker distribution on household energy consumption and LPG dependency. While several studies have assessed clean cooking programmes—such as biogas, induction, solar-powered stoves, and electric pressure cookers—this research is among the first to evaluate a rice cooker programme in a large-scale field setting, thereby offering novel insights and contributing to the literature on the clean energy transition. A Slovin sampling strategy selected 600 respondents from among 342,621 households across 36 provinces with a margin of error of approximately 4.1%. Primary data were analysed using descriptive statistics, including frequency distributions and cross-tabulations, alongside inferential methods such as ordered logistic regression to investigate the determinants of satisfaction of this program and also t-tests to compare electricity consumption and LPG usage before and after receiving the rice cooker. In addition, secondary data comprising 5,814,476 records on monthly electricity consumption from January 2023 to May 2024 were utilised. Our evaluation reveals that the free rice cooker programme has led to a significant increase in per capita electricity consumption and a corresponding reduction in LPG consumption and subsidies. Although household electricity bills have risen, most respondents report that the efficiency and convenience of the rice cooker offset these additional costs. These findings support the further expansion and continual evaluation of such clean cooking initiatives, enhancing energy resilience in Indonesia and other developing countries.
Enhancing wind energy prediction accuracy with a hybrid Weibull distribution and ANN model: a case study across ten locations in Java Island, Indonesia Fithri, Silvy Rahmah; Hesty, Nurry Widya; Wijayanto, Rudi P.; Pranoto, Bono; Wijaya, Prima Trie; Faqih, Akhmad; Kusuma, Wisnu Ananta; Nurrohim, Agus; Sugiyono, Agus; Yudiartono, Yudiartono
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp180-190

Abstract

Accurate wind speed forecasting is essential for optimizing renewable energy (RE) systems, especially in coastal and island regions with high variability. This study proposes a hybrid predictive model that combines Weibull distribution parameters with artificial neural networks (ANN) to enhance forecasting accuracy. Using ten years of hourly NASA POWER data from 10 locations across Java Island, 24 scenarios were tested with varying combinations of Weibull and meteorological variables. Results demonstrate that incorporating both Weibull shape (k) and scale (c) parameters significantly improves performance, with the best configuration (Scenario 1) achieving a MAPE of 0.44% in Garut. Excluding one or both parameters sharply reduced accuracy, with errors rising up to 35.12%. Beyond technical accuracy, the findings emphasize the practical relevance of Weibull-informed ANN models for energy planning. Reliable forecasts support better wind resource assessment, grid integration, and investment decisions, reducing uncertainties that often hinder wind power deployment. By providing accurate and stable predictions across diverse locations, this approach offers policymakers and planners a robust tool to accelerate RE development and meet national energy targets.
Co-Authors Abdul Wahid, La Ode Muhammad agus Nurrohim Agus Sugiyono Akhmad Faqih Amiral Aziz Darmaji Erwin Siregar Farandy, Alan Ray Fauziah, Khotimatul Fithri, Silvy Rahmah fitriana, ira Hadiyanto, Fuad Ifanda, Ifanda Joko Santosa, Joko Mayasari, Agustina Putri Nanto Sriyanto, Nanto Norhadi, Lutfi Nugroho, Wahid Pinto Pranoto, Bono Prasetyo, Ridwan Budi Priyono Rahardjo, Irawan Rostyono, Didik Sinaga, Paber Suntoro, Dedi Taurista Perdana Syawitri, Taurista Perdana Wijaya, Prima Trie Wijayanto, Rudi P. Wijayanto, Rudi Purwo Wisnu Ananta Kusuma Witjakso, Ario yudiartono, yudiartono Zainuddin, Hazan Azhari Zaky, Toha