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Utilization of Solar Energy in Improving Energy Efficiency of Urban Households: A Bibliometric Review Soelistianto, Farida Arinie; Triwiyatno, Aris; Winardi, Bambang; Vandika, Arnes Yuli
West Science Interdisciplinary Studies Vol. 2 No. 11 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i11.1469

Abstract

The utilization of solar energy has emerged as a critical solution for improving energy efficiency and achieving sustainability in urban households. This study conducts a bibliometric review to explore the research landscape on solar energy adoption, focusing on technological advancements, socio-economic implications, environmental benefits, and policy frameworks. The analysis identifies key themes such as photovoltaic innovations, smart grid integration, and energy storage technologies, as well as the influence of government incentives and community-based projects on adoption rates. While solar energy offers significant environmental and economic benefits, challenges such as high installation costs, energy variability, and aesthetic concerns remain. The findings highlight the need for interdisciplinary approaches and emerging technologies, including artificial intelligence and decentralized systems, to overcome these barriers. This review provides valuable insights for researchers, policymakers, and stakeholders to advance solar energy utilization and contribute to sustainable urban development.
Effectiveness of IoT in Water Quality Monitoring and Waste Management towards Environmental Standards Compliance in the West Java Pharmaceutical Industry Soelistianto, Farida Arinie; Baharuddin, Baharuddin; Muntasir, Muntasir
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1631

Abstract

This study investigates the effectiveness of Internet of Things technologies in water quality monitoring and waste management to meet environmental standards in the pharmaceutical industry of West Java, Indonesia. The quantitative approach was used in this study. Data were collected from 55 pharmaceutical companies through a survey using a Likert scale ranging from 1 to 5. Data analysis was done using SPSS version 25. There is a positive correlation between IoT implementation in both water quality monitoring and waste management regarding environmental standards. The firms in which an IoT system was implemented outperformed others in terms of satisfaction of regulatory requirements concerning water quality and waste disposal. It also established the combined effect of IoT in both the domains on overall environmental performance. These findings reflect that IoT technologies have the potential to significantly enhance the contribution of the pharmaceutical industry towards adhering to environmental standards and sustainable development.
The Effect of 7 MWp Selong On Grid Solar Power Plant (PLTS) on Electricity Network Stability in NTB Soelistianto, Farida Arinie; Robbani, Farisan
West Science Nature and Technology Vol. 2 No. 04 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i04.1538

Abstract

The transition toward renewable energy is critical to achieving global sustainability goals, with solar power playing a significant role in diversifying energy sources. This study examines the effect of the 7 MWp Selong On-Grid Solar Power Plant (PLTS) on electricity network stability in West Nusa Tenggara (NTB), Indonesia. Using a qualitative approach, data were collected through in-depth interviews with five key informants, including policymakers, technical experts, and community representatives. Thematic analysis was conducted using NVivo software to identify the operational impacts, challenges, and opportunities of solar integration. Results indicate that the Selong PLTS contributes positively to voltage stability, reduces reliance on fossil fuels, and diversifies the energy mix. However, challenges such as intermittency, infrastructure limitations, and the absence of energy storage hinder its full potential. The study highlights the need for technological upgrades, stakeholder collaboration, and community engagement to optimize renewable energy adoption in NTB. These findings provide actionable insights for enhancing grid stability in regions integrating renewable energy.
Analysis of the Effect of Sustainable Business Practices on the Financial Performance of Manufacturing Companies in Jakarta: Case Study on Renewable Energy Use, Waste Management, and Environmental Economic Principles Soelistianto, Farida Arinie; Nasirly, Riri; Sudarmanto, Eko; Cahya, Darmawan Listya
West Science Journal Economic and Entrepreneurship Vol. 1 No. 12 (2023): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v1i12.446

Abstract

The adoption of renewable energy, waste management methods' efficacy, the application of environmental economic concepts, and the financial performance of manufacturing enterprises in Jakarta are all examined in this study. This study examined measurement models and structural models by analyzing data from 174 organizations using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings demonstrate that the company's profitability is considerably and favorably impacted by the use of environmental economic concepts and the deployment of renewable energy. This research highlights the significance of sustainable practices in attaining financial prosperity and provides useful guidance for companies seeking to manage the intricate terrain of ecological accountability and financial efficacy.
Identifikasi Penelitian yang Menggunakan Internet of Things (IoT) dalam Inovasi Teknologi Pariwisata Soelistianto, Farida Arinie; Atmadja, Martono Dwi; Khristiana, Harrij Mukti
Jurnal Multidisiplin West Science Vol 3 No 02 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i02.1018

Abstract

Penggunaan Internet of Things (IoT) dalam inovasi teknologi pariwisata telah menjadi fokus penelitian yang semakin meningkat dalam beberapa tahun terakhir. Teknologi ini menawarkan potensi besar untuk mengubah cara industri pariwisata dijalankan dan dinikmati, dengan memberikan solusi-solusi yang lebih efisien dan pengalaman yang lebih baik bagi para wisatawan. Dengan menerapkan pendekatan bibliometrik, penelitian ini menyelidiki tren publikasi, kontributor utama, dan topik penelitian dominan dalam domain ini. Hasil analisis menunjukkan adanya minat yang signifikan dalam aspek-aspek tertentu, seperti pengaruh IoT pada pemulihan industri pariwisata pasca-pandemi, pengembangan teknologi blockchain untuk manajemen privasi dan keamanan data, serta penerapan smart city untuk keberlanjutan. Implikasi dari temuan ini akan memberikan panduan berharga bagi pengembangan teknologi pariwisata yang lebih efektif dan berkelanjutan di masa depan.
Analisis Bibliometrik tentang Solusi Berkelanjutan dalam Pengelolaan Limbah Plastik Soelistianto, Farida Arinie; Junus, Mochammad; Atmadja, Martono Dwi; Khristiana, Harrij Mukti
Jurnal Multidisiplin West Science Vol 3 No 07 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i07.1278

Abstract

Penelitian ini mengkaji evolusi dan klasterisasi tema dalam pengelolaan limbah berkelanjutan menggunakan teknik analisis jaringan VOSviewer. Melalui visualisasi data bibliometrik, kami mengidentifikasi fokus utama dalam literatur terkait pengelolaan limbah, yang mencakup teknologi daur ulang, integrasi keberlanjutan dalam kebijakan pengelolaan limbah, serta dampak pandemi global terhadap praktik pengelolaan limbah. Analisis menunjukkan bahwa ada transisi dari pendekatan yang berfokus pada teknologi ke strategi yang lebih holistik yang mendukung tujuan pembangunan berkelanjutan. Kami juga mengeksplorasi kolaborasi antar penulis dan mengidentifikasi area riset potensial yang belum banyak dieksplorasi, seperti penggunaan plastik biodegradable dan penilaian siklus hidup yang lebih efisien. Studi ini menawarkan wawasan yang berharga bagi pembuat kebijakan dan peneliti untuk meningkatkan strategi pengelolaan limbah dan mendorong inisiatif yang lebih berkelanjutan.
Implementation of Convolutional Neural Network (CNN) Method for Fish Processed Cuisine Image Identification Application with Google Maps Features Saptono, Rachmad; Rasyid, Abdul; Waluyo, Waluyo; Soelistianto, Farida Arinie
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.863

Abstract

The rapid advancement of science and technology encourages dynamic transformation in various sectors, especially in the field of information and communication technology (ICT), especially with the existence of Android-based smartphones. This advancement revolutionizes the way we access information, especially about various processed fish dishes in Indonesia. However, despite the plethora of culinary offerings, travelers often find it difficult to discover traditional dishes through social media platforms. To bridge this gap, a new app that utilizes artificial neural networks has been developed. The app allows users to photograph and upload images of processed fish dishes to recognize and provide detailed descriptions and recipes. In addition, integrating Google Maps makes it easy for users to find nearby places that serve these dishes. Testing the app with a dataset consisting of 1577 images of six types of processed fish dishes yielded promising results, with accuracy reaching 97.57% over 120 epochs. This innovation not only preserves cultural heritage but also enhances the culinary experience for locals and tourists.
The Impact of Adaptive Learning Technology on Improving Students’ Concept Understanding Soelistianto, Farida Arinie; Andrasmoro, Dony; Yusriati, Yusriati; Mardiati, Mardiati; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1176

Abstract

Adaptive learning technology is an educational method that uses artificial intelligence and computer algorithms. This learning system can manage students’ interaction pattern during learning activities. The use of adaptive learning technology is able to change students from just receiving information to an active and collaborative part in the learning process. This research was conducted with the aim of improving the quality of education in Indonesia by encouraging teachers to use this technology. This research also aims to provide a better understanding of the potential and weaknesses of adaptive learning technology in improving students’ concept understanding as well as providing stronger guidance for curriculum development and better educational practices.  The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the results of the study, it can be seen that the impact of using adaptive learning technology shows that adaptive learning technology can improve the quality of education. Research shows that with the use of adaptive learning technology, it can change teaching methods, learning materials, and can find out the level of learning difficulties faced by these students. From this study, researchers can conclude that the impact of using adaptive learning technology, can improve student understanding and achievement and has the potential to improve the quality of education. with the existence of adaptive learning technology, it is able to increase student involvement and motivation in learning, so that student understanding in learning can be achieved well.