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Susilo Nur Aji Cokro Darsono
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INDONESIA
Jurnal Ekonomi & Studi Pembangunan
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 14119900     EISSN : 25415506     DOI : https://doi.org/10.18196/jesp
Core Subject : Economy,
Economics, Econometrics & Finance
Jurnal Ekonomi & Studi Pembangunan (JESP) focuses on research papers relating to development economics and multidisciplinary concern to systemic problems in developing countries particularly using quantitative or theoretical work in which novelty is essential. JESP does not publish manuscripts in critical review and book review. Nevertheless, we accept in-depth studies of specific cases, events, or regions that are likely to bring more benefits on developing economics.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "JESP Volume 21 Nomor 2, Oktober 2020" : 2 Documents clear
Forecasting Fisheries Production in Indonesia Wicaksono, Bayu Rhamadani; Sutandi, Tendi; Tembo, Sydney
Jurnal Ekonomi & Studi Pembangunan JESP Volume 21 Nomor 2, Oktober 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.21.2.5039

Abstract

The abundance of water resources avails Indonesia an excellent advantage in terms of the development of the capture and aquaculture fisheries. In recent years, Indonesian fish production has shown an increasing trend. The capture and aquaculture fisheries reached 6.6 million and 16.0 million tonnes respectively in 2016. The growing trend was translated into an average contribution of 2.4 percent towards the national GDP in 2013-2017. However, the absence of forecasting methods and data on fisheries production's potential growth contributes to ineffective policy interventions that require optimum production. Therefore, this study's main objective is to find the most accurate forecasting method for Indonesia's fisheries production. This research utilized the quarterly data of Indonesian fisheries production in 2000-2018 obtained from the Ministry of Marine Affairs and Fisheries. A comparative analysis of the Double Exponential and Seasonal ARIMA (SARIMA) method was undertaken to arrive at the most accurate forecasting method. The study findings broadly revealed that Indonesia's fish production was on an increasing trend, with aquaculture fisheries' contribution outweighing the capture fisheries in recent years. Furthermore, the SARIMA method was found to be the most accurate forecasting method compared to the Double Exponential method. The findings are useful for the government and related stakeholders for enhancing fish productivity in Indonesia. In addition, SARIMA methods could be used to forecast the fish production in upcoming years for better policy, strategy, and decision-making in developing the fisheries sector in Indonesia.
Household Solar Photovoltaic Adoption in the Maldives: A Socioeconomic Perspective Fathimah, Rukshana; Darsono, Susilo Nur Aji Cokro; Suphanchaimat, Nongluck
Jurnal Ekonomi & Studi Pembangunan JESP Volume 21 Nomor 2, Oktober 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.21.2.5040

Abstract

Energy has become an essential part of our lives, but the current energy sources we used are depleting and non-renewable. In the case of Maldives, fuel energy is expensive due to importation and high transportation cost.  Besides, Atoll islands' characteristics require each island to have a power plant using fossil fuel, and the fuel storage availability is limited, making the electricity in these islands unstable and costly. Therefore, the need for cleaner and reliable resources for energy is essential in order to ensure a better future.  This study aimed to determine the factors influencing solar energy acceptance by inviting people to participate in the electronic survey in the Maldives, with 119 samples collected. The result revealed that most respondents were willing to go for a solar energy source for electrification due to the current high electricity bills. A binary logistic regression analysis was performed to predict the factors for the acceptance of solar energy. The result showed that people's attitudes and current electricity bills were significantly influential in solar energy acceptance. The presumptions for policymakers are to increase the people's knowledge and awareness to elevate a positive attitude and involve the private sector to increase competition and utility in the field

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