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All Journal Techne : Jurnal Ilmiah Elektroteknika ILKOMNIKA: Journal of Computer Science and Applied Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Jaringan Telekomunikasi Jurnal Multidisiplin West Science Jurnal Pendidikan West Science West Science Journal Economic and Entrepreneurship West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies Science Information System and Technology West Science Nature and Technology West Science Agro
Soelistianto, Farida Arinie
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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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.
Implementation of the Internet of Things (IoT) in the Sustainable Agricultural Products Sales System Soelistianto, Farida Arinie
West Science Nature and Technology Vol. 3 No. 04 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i04.2537

Abstract

The rapid development of the Internet of Things (IoT) has created new opportunities for transforming agricultural systems toward sustainability, particularly in agricultural product sales systems. This study aims to explore the implementation of IoT in sustainable agricultural product sales systems in Indonesia and to understand its economic, environmental, and social implications. Using a qualitative research approach, data were collected through in-depth interviews with five key informants representing farmers, agribusiness actors, technology providers, and supporting institutions involved in IoT-based agricultural practices. The findings reveal that IoT implementation supports real-time monitoring of product quality, inventory management, traceability, and sales coordination, which contribute to improved market transparency and efficiency. Economically, IoT helps reduce post-harvest losses, strengthens bargaining positions, and stabilizes income. Environmentally, it supports waste reduction and promotes environmentally responsible sales practices. Socially, IoT enhances trust and collaboration among stakeholders, although challenges related to digital literacy, infrastructure limitations, and investment costs remain significant. Overall, this study demonstrates that IoT has strong potential to support sustainable agricultural product sales systems in Indonesia, provided that its implementation is accompanied by institutional support, capacity building, and inclusive governance mechanisms.
Designing an Object Detection System as an Assistive Device for the Visually Impaired Based on Yolo V10 with Dual Camera Nabila, Amalia; Soelistianto, Farida Arinie; Mahfudi, Isa
West Science Information System and Technology Vol. 3 No. 03 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i03.2209

Abstract

This research develops an object detection system to assist visually impaired individuals in navigating dynamic environments, including roads and indoor spaces. The system employs YOLO version 10 (YOLOv10) with dual cameras and provides audio output through a speaker. Using the Research and Development (R&D) method, the system detects six object classes—person, car, motorcycle, bicycle, table, and chair—in real-time. Testing was conducted with variations in distance, lighting conditions, delay, and direct trials with visually impaired users. Results show an effective detection range of up to 5 meters. Under bright indoor lighting, the average error was 8.97%, while outdoor morning conditions yielded 3.95%. In low-light and dark conditions, accuracy decreased significantly, with errors ranging from 60.33% to 100%. Detection delay ranged from 4.3 to 7.4 seconds. The system achieved a Macro F1-Score of 0.74, with the highest performance for cars (0.92) and the lowest for persons (0.62). Direct trials with five visually impaired participants showed an average accuracy of 92.58% and delays around 4.63 seconds. The system effectively delivers precise audio information, helping users recognize objects in front and behind, thereby enhancing safety and confidence during navigation.
Development of a Driver Drowsiness Detection System Using YOLO, EAR, and MAR for Driving Performance Evaluation Mahfudi, Isa; Rasyid, Muhammad Akida Jabbar; Adzikirani, Adzikirani; Kusumawardani, Mila; Soelistianto, Farida Arinie; Wijayanti, Rieke Adriati; Novianti, Atik
ILKOMNIKA Vol 8 No 2 (2026): Volume 8, Number 2, August 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i2.878

Abstract

Driver fatigue and drowsiness are among the major factors causing traffic accidents, leading to decreased alertness and slower reaction time. This study aims to develop a computer vision-based driver drowsiness detection system by integrating the You Only Look Once (YOLO), Eye Aspect Ratio (EAR), and Mouth Aspect Ratio (MAR) methods, as well as to evaluate driving performance quantitatively. The system is designed to operate in real time using a camera as the visual data source, which is processed through face detection, facial landmark extraction, and the calculation of EAR and MAR parameters as indicators of eye condition and yawning activity. The experimental results show that the system is capable of classifying driver conditions into three categories: normal (alert), drowsy, and microsleep, with an average F1-score of 0.92. In addition, this study proposes the Alertness Index (AI) as a composite indicator calculated based on drowsiness frequency, eye closure duration, and yawning intensity to represent the driver’s alertness level more comprehensively. The system is also able to operate in real time with stable performance, supporting implementation in real-world conditions. The results demonstrate that the integration of YOLO, EAR, and MAR not only improves detection accuracy but also enables objective and data-driven driving performance evaluation. This system can be applied as a driver monitoring solution to improve road safety.
Co-Authors Abdul Rasyid Adzikirani, Adzikirani Amaludin, Moh. Baitullah Aniati Aniati Anshori, Abdullah Anshori, Moh. Abdullah Ansori, Tirangga Aris Triwiyatno Arnes Yuli Vandika Arrafi, Atha Azhar ATIK NOVIANTI Atmadja, Martono Dwi Baharuddin Baharuddin Bambang Winardi Budi Nugroho Bunyamin, Ilham Akbar Darmawan Listya Cahya Dewa Oka Suparwata Eko Sudarmanto Fildansyah, Rully Hariyadi, Aad Haslinah, Andi Hudiono Hudiono, Hudiono Indrianto, Argo Isa Mahfudi Judijanto, Loso Karnoto . Khristiana, Harrij Mukti Kristiana, Harrij Mukti Kurniawan, Nur Hasan Kusumawardani, Mila Lesmana, Tera Marjan, M Mochammad Junus Moh. Abdullah Anshori Muntasir, Muntasir Nabila, Amalia Nasirly, Riri - Novitasari, Salwa Aulia Nurmiati, Ai Siti Nurul Hidayati Priyana, Yana Purnamasari, Sinta Winda Putradi, David Fydo Rahman, Ali Rakhmania, Amalia Eka Rasyid, Muhammad Akida Jabbar Rieke Adriati Wijayanti Rissa Megavitry RIZKY ARDIANSYAH Rizza, Nur Robbani, Farisan Saptono, Rachmad Siti Helmyati Sono, Mohammad Gifari Usup, Usup Utami, Eva Yuniarti Utomo, Bekti Waluyo Waluyo Yohan Yohan