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All Journal Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Sains Student Research
Fulkan Kafilah Al Husein
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Optimization of Renewable Energy Sources in the Development of a Military Microgrid at Indonesia Defense University Yanif Dwi Kuntjoro; Achmad Abdurrazzaq; Dwi Rahayuningtiyas; Arif Zidan Prayogo; Faris Alaudin Salih; Fulkan Kafilah Al Husein
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 9, No 1 (2023)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v9i1.1935

Abstract

The availability of electricity is crucial for the smooth operation and administration of any institution, including the Republic of Indonesia Defense University. This study aims to investigate the implementation of the Military Microgrid, an innovative concept developed to increase the development of renewable energy sources for defense agencies. The researchers employed a qualitative approach, conducting interviews and gathering data from various sources, including relevant laws and regulations. Implementing the Military Microgrid system at the Indonesia Defense University presents a practical and sustainable solution to meet the university's electricity demands while promoting environmental sustainability. The initiative aligns with the Indonesian government's renewable energy goals and can serve as a promising solution for other institutions to follow. This concept has facilitated the exploration of environmentally friendly energy sources from nature, such as solar, water, waste, and biomass. The Military Microgrid is an effective solution to meet the demand for electricity in defense agencies while promoting the use of renewable energy sources. The implementation of Law No. 23 of 2019 concerning the Management of National Defense Resources has provided a legal framework for developing and implementing this innovative concept. This study highlights the importance of exploring and utilizing renewable energy sources to meet the growing demand for electricity in institutions especially military and defense institutions.
Konsep dan Prototipe Pengukur Indeks Pertahanan Negara Sebagai Dasar Pembuatan Aplikasi Mathemathic Strategy Diva Hardiestya Fanny; Fulkan Kafilah Al Husein
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.6357

Abstract

Di era revolusi industri 4.0, ancaman, tantangan, hambatan dan gangguan yang dihadapi sebuah negara seringkali tidak dapat diprediksi. Yang mana, ini berakibat pada sulitnya penentuan pembangunan kekuatan pertahanan negara, penggunaan kekuatan pertahanan negara, dan pembinaan kekuatan pertahanan yang tepat dan efisien. Padahal, memahami dan menentukan hal diatas begitu penting. Ini karena umumnya keputusan yang berkenaan dengan pertahanan negara relatif bermodalkan besar dan implikasinya-pun besar. Dengan kita dapat memprediksi ancaman, tantangan, hambatan dan gangguan dengan sebuah metode, maka tantangan tersebut dapat terjawab. Dan untuk memprediksikannya, penulis membuat konsep dan prototipe pengkur indeks pertahanan negara sebagai solusi. Singkatnya, dengan mengetahui Indeks Pertahanan Negara, maka dapat diketahui, daerah mana yang sedang menghadapi ancaman terbesar. Lalu, dengan analisis menggunakan Modified AHP (Analytical Hirearcy Process), dapat ditelusuri bagaimana perbandingan pertahanan satu daerah dengan yang lain untuk nanti diputuskan mana yang perlu ditangani terlebih dahulu. Dan akhirnya, setiap keputusan pembangunan kekuatan, penggunaan kekuatan dan pembinaan kekuatan nasional dapat diukur secara kuantitatif dengan aplikasi Mathemathic Strategy tersebut. Diharapkan dengan berhasilnya penelitian ini, dapat ikut serta dalam membantu tujuan nasional untuk mempertahankan negara sebagaimana diamanatkan di Pembukaan UUD serta mengimplementasikan usaha pertahanan negara yang dicantumkan di UU no 3 tahun 2002.
Comparison Naïve Bayes and SVM to Classify Drought-Infected Rice Plants Based on Morphological Characteristics in Supporting National Food Security Damaris Easter Nugrahita Christi; Angelia Melisa Hutapea; Fulkan Kafilah Al Husein; Nadiza Lediwara; Sembada Denrineksa Bimorogo
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.6557

Abstract

Data mining is part of the Knowledge Discovery in Database (KDD) process. The use of data mining serves to classify, predict, and extract other useful information from large data sets. This study aims to classify rice plants under treatment (drought stress and control) using data mining, focusing on the analysis of the variables of Leaf Area (LA), Root Length (RL), and Shoot Length (SL). Each classification algorithm has different characteristics, resulting in varied performance results. After testing both classification algorithms, the accuracy results were 71.70% for Naïve Bayes and 73.85% for SVM. This shows that the SVM algorithm performs better than Naïve Bayes algorithms to determine best treatment of rice to support national food security further. Furthermore, It also can be concluded that using a machine learning approach can solve problems in the classification of rice plants affected by drought threats is fairly effective with the maximum score obtained is only 73.85%.
Co-Authors Achmad Abdurrazzaq Angelia Melisa Hutapea Arif Zidan Prayogo Damaris Easter Nugrahita Christi Diva Hardiestya Fanny Dwi Rahayuningtiyas Faris Alaudin Salih Lediwara, Nadiza Sembada Denrineksa Bimorogo Yanif Dwi Kuntjoro