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Journal : Jurnal Studi Pemerintahan

 1 
The Usage of Machine Learning for Policy Projection of Bio Solar Consumption in Indonesia Mujtaba, Atiq; Komarudin
Jurnal Studi Pemerintahan Vol 15, No 1 (2024): February 2024
Publisher : Department of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jsp.v15i1.360

Abstract

This paper explores the application of machine learning (ML) techniques to project the future consumption of bio solar energy in Indonesia, aiming to inform and guide policy decisions in the energy sector. The transition to renewable energy sources is crucial for sustainable development, especially in emerging economies like Indonesia, which has shown a growing interest in bio solar energy. This research method uses Quantitative Research with Linear Regression and Sarima approaches. We employed several ML models, using Phyton which analyze with Multiple Linear Regression, Lasso Regression and Sarima, to analyze historical data on energy consumption, economicindicators, demographic changes, and technological advancements. Our findings indicate that machine learning models can effectively predict bio solar consumption trends, highlighting the influence of economic growth, urbanization, and technological innovation on renewable energy adoption. The models suggest an increasing trajectory in bio solar consumption, driven by policy incentives,technological advancements, and a growing awareness of environmental issues. The accuracy of ml predictions is contingent upon the availability and quality of data. Furthermore, the projections may not account for unforeseen economic or technological changes. Future research should focus on incorporating more dynamic data sources and exploring the impact of policy changes on renewable energy adoption. In conclusion, leveraging machine learning for policy projection offers a promising approach to support the growth of bio solar consumption in Indonesia. This study provides a foundation for future research and highlights the potential of ml in crafting informed, effective energy policies. 
Co-Authors , Kevin Fernaldy Shelby A. GUNAWAN Abdullah Musthofa Adi Ali Fikri, Romadlon Aditya, David Sulistiawan Agus Salim Alamsyah, Prayudi Juni Aldri Frinaldi Alif, Muhammad Nur Alodia Syahda Nadindra Alwi, Zulfami Ananda Okta Mahardhika Antikasari, Tiara Widya Anwar, Ahmad Asrianto Atoasi, Syahbudin Ayuning Maharesti Aziwarti Azzumar, Akmal Maulana Begawat Sari, Fauziyah Berliana Budi Utomo Budiman, C. C. SUMANTRI Cahyani Maulida, Savira Christine Ulina Tarigan Dadang Hikmah Purnama Dea Destian Dede Rohmat Nurjaya Deden Hilmansah Deden Hilmansah Dedi Junaedi, Dedi Desi Ramayanti Dewi Mahastuti Dya Ayu Agustiana Putri Eki Wulan Agustin Eti Herawati Falah Tri Nur Afifah Fangky Antoneus Sorongan Firdaus, Septian Gafur Ammar Santoso Ginanjar Abdurrahman Gita Sesaria, Tifanny Gunistiyo Hadna, Ida Nor’Aini Hallare, Syrell M. Hannum, Ilma Nabilla Ashfia Hendrawan, A. Hendri Hendri Sukma Herman Subarjah Husni Mubarak Ikina Rizki Kahiji ILHAM Ilham Jaya Kusumah Insyirrah, Pembayun Cikal Ira Purnamasari Irfan Bahar Nurdin Isna Nur Faizah Kabdiyono, Era Agita Karina Aditya Komarudin Sassi Laeli, Sobrul Linda Zakiah Listyarini, K. Loyola, Allysssa DL. M. Syahnan Harahap Machdaliza Mad Zaini Mahben Jalil Marwiyah Maulana, Ihsan Mauritius Ildo Rivendi Naikofi Megawati Agustiandho Mochamad Yamin Saputra Mona Fiametta Febrianty Muhammad Gilang Ramadha Muhammad Reza Kaosar Mujtaba, Atiq Mulyana Mustaqim Setiyo Ariyanto Mustika Fitri MUTIA RAHAYU GUMULYA MUTIA RAHAYU GUMULYA Mutmainah Juniawati Nada Nadia Salsabila Nadia Lestika Wahyuningtiyas Nida'ul Hidayah Novi Maryani Novian, Geraldi Nurul Fitriyani OKTADINATA, ALEK Patriana Nurmansyah Awwaludin Prakosa, Bayu Adhi Putra, Sandy Pratama Putri Meidiana Rahmat Hidayat Rismayadi, Alen Rohanda Sadira Susilawati Sandey Tantra Paramitha Saputro, Andrian Seda, Anthony Paramadina Shintya Dewi, Marysca Subarjat, Rayhan Achdhika Sugeng, Margono Supardi Suparto, Kuat Supriati, Eny Supriyadi Suryaningsih, Yeni Susilowati, Suster Syah, Alif Firman Syahid, Angga Muhamad Syahril Jamil Tatang Muhtar, Tatang Tri Cahyanto Wibowo, Setyo F. Widi Kusumah Widyawati Wildhan Rahmadian Sofyan WULANDARI Yuggo Afrianto Yusida Gloriani Yusuf Hidayat Yusuf Hidayat Zain, Labibah