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The Implementation of Electronic-Based Archiving to Accelerate Government Digitalization in Indonesia Hannin Pradita Nur Soulthoni; Maya Itasari
Indonesian Journal of Innovation and Applied Sciences (IJIAS) Vol. 5 No. 1 (2025): February-May
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijias.v5i1.1735

Abstract

The rapid advancements in technology have significantly influenced the way individuals interact and meet their needs, pushing for the digital transformation of government operations, particularly in archiving. Despite the introduction of electronic archiving systems in government institutions, physical archiving still prevails, leading to inefficiencies. This study utilizes a normative juridical method, focusing on secondary data analysis from library research. It examines the legal frameworks surrounding electronic-based archiving in Indonesia’s public sector and evaluates its role in the government's digital transformation. The research identifies that while electronic archiving is increasingly recognized as an essential tool for government efficiency, its implementation remains optional rather than mandatory. The legal certainty surrounding digital archiving is still underdeveloped, particularly in areas related to the legality of digital documents and the transition from manual to digital processes. This paper suggests that the current regulations need to be revised, specifically those concerning financial accountability and governance, to better support the transition to a paperless system. The findings emphasize that enhancing legal clarity and updating the regulatory framework are key to fostering the adoption of electronic archiving systems, thus accelerating the government's move toward a fully digital administration.  
Upaya Pengelolaan Limbah Kemasan Dalam Program Tanggung Jawab Sosial : Studi Kasus Di Industri Makanan Dan Minuman Tahun 2021-2023 Soulthoni, Hannin PN; Itasari, Maya
Jurnal Ilmu Kesejahteraan Sosial
Publisher : UI Scholars Hub

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Abstract

Plastic waste has become an urgent environmental issue in Indonesia. This study aims to identify innovative practices implemented by food and beverage companies in Indonesia in managing plastic packaging waste, thereby serving as a reference for other companies and policymakers. This research provides an empirical contribution to understanding waste management efforts as part of corporate social responsibility (CSR) commitments. The methodology employed a qualitative approach through document analysis, involving an in-depth examination of CSR reports from companies during the 2021–2023 period. Data validity and reliability were ensured through triangulation with other relevant sources, such as sustainability reports and related publications. The analysis revealed that through technological innovation, strong partnerships, and a commitment to sustainable practices, companies successfully reduced plastic waste by up to 30% while expanding networks of Waste Banks, the Green Warmindo Program, and the Drop Box Program. Collaborations through PRAISE and IPRO have also proven effective in raising public awareness and enhancing waste management efficiency, providing valuable guidance for other companies to adopt more responsible practices. The findings of this study have significant implications for the development of more comprehensive waste management policies and encourage collaboration among governments, industries, and communities to achieve sustainable development goals.
Pengenalan Teknologi Kecerdasan Buatan dan IoT untuk Meningkatkan Pengetahuan Siswa SMK Teknik Listrik di Dunia Industri dan Pendidikan Itasari, Maya; Amri, Nurul Amalia; Muhtar, Muhdalifah; Nurfadhilah, Annisa; Ridhwan, Muhammad; Fahrul Farid, Andi
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 2 (2025): JPMI - April 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3521

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan teknologi Kecerdasan Buatan (Artificial Intelligence/AI) dan Internet of Things (IoT) kepada siswa Sekolah Menengah Kejuruan (SMK) Darussalam jurusan Teknik Listrik. Permasalahan yang dihadapi adalah kurangnya pemahaman siswa mengenai teknologi AI dan IoT yang semakin berkembang dan relevan dengan kebutuhan industri. Sebagai solusi, program ini dirancang untuk meningkatkan literasi teknologi siswa melalui pelatihan yang mencakup pengenalan konsep dasar AI dan IoT, aplikasi praktis di bidang teknik listrik seperti smart grid dan automasi sistem, serta tren perkembangan teknologi. Metode yang digunakan dalam kegiatan ini meliputi seminar untuk penyampaian materi, diskusi interaktif guna meningkatkan pemahaman, serta kuis evaluasi untuk mengukur peningkatan pengetahuan siswa. Kegiatan menunjukkan antusiasme tinggi dari siswa serta peningkatan pemahaman mereka terhadap teknologi AI dan IoT, sebagaimana terlihat dari hasil evaluasi kuis yang menunjukkan peningkatan skor secara signifikan. Dampak dari program ini mencakup peningkatan kompetensi siswa dalam memahami dan mengaplikasikan teknologi modern, meningkatkan motivasi mereka untuk mengembangkan ide inovatif, serta membantu sekolah dalam mencetak lulusan yang lebih siap menghadapi tantangan Revolusi Industri 4.0 dan 5.0. Dengan demikian, kegiatan ini berkontribusi terhadap peningkatan kualitas pendidikan vokasi dan kesiapan tenaga kerja di bidang teknik listrik.
Estimate Equivalent Circuit Internal Resistance Battery LiFePO4 Farid, Andi Fahrul; Itasari, Maya; Asri, Andarini; Thaha, Sarma; Nurfadhilah, Annisa; Ridhwan , Muhammad
Jurnal Teknologi Elekterika Vol. 22 No. 1 (2025)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

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Abstract

This research investigates the internal resistance and capacitance characteristics of Lithium Iron Phosphate (LiFePO4) batteries utilizing an equivalent circuit model based on resistor-capacitor (RC) networks. The growing integration of batteries in diverse applications, including electric vehicles and renewable energy systems, necessitates robust battery health monitoring strategies. This work employs current and voltage data acquired during battery discharge, subsequently analyzed using MATLAB 2023b software to determine the pertinent RC parameters. A third-order Equivalent Circuit Model (ECM) of RC, comprising three RC pairs, is implemented to enhance the precision of parameter estimation. The results demonstrate a strong correlation between the number of RC pairs and the accuracy of dynamic battery response representation. A higher-order model generally yields more precise estimations of battery performance. However, increasing model complexity can lead to overfitting, potentially diminishing the model's ability to accurately reflect actual battery behavior. This study contributes significantly to the understanding of LiFePO4 battery internal characteristic modeling and underscores the importance of balancing model fidelity with computational complexity.