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All Journal JRST (Jurnal Riset Sains dan Teknologi) Techne : Jurnal Ilmiah Elektroteknika JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) 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 Journal of Computer Science Advancements
Soelistianto, Farida Arinie
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture 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 Mathematics Public Health Social Sciences Other

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Journal : science information system and technology

 1 
The Use of Business Intelligence to Support Strategic Decision Making in Digital Retail Companies in Indonesia Soelistianto, Farida Arinie; Sono, Mohammad Gifari
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2168

Abstract

This study explores the role of Business Intelligence (BI) in supporting strategic decision-making within digital retail companies in Indonesia. In an increasingly competitive digital retail environment, BI enables managers to transform raw data into actionable insights for informed decision-making. Using a qualitative approach, in-depth interviews were conducted with five informants, including managers and decision-makers from various digital retail companies. The findings reveal that BI enhances decision quality, provides operational efficiency, and supports proactive strategies by offering accurate, real-time information on customer behavior, market trends, and business performance. However, challenges such as system complexity, data integration issues, and limited analytical skills pose barriers to effective BI utilization. This study contributes to a deeper understanding of BI implementation in the Indonesian digital retail sector and offers practical insights for managers aiming to leverage BI for strategic advantage.
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.
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.
The Role of Digital Technology in Realizing the Sustainable Development Goals (SDGs) Soelistianto, Farida Arinie; Muthmainah, Hanifah Nurul
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.v3i03.2553

Abstract

Digital technology has increasingly become a strategic instrument in accelerating the achievement of the Sustainable Development Goals (SDGs), particularly in developing countries such as Indonesia. This study aims to examine the role of digital technology in supporting the achievement of SDGs in Indonesia using a quantitative research approach. Data were collected from 85 respondents through a structured questionnaire measured using a Likert scale. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 25, employing descriptive statistics, validity and reliability testing, and simple linear regression analysis. The results indicate that digital technology has a positive and statistically significant effect on SDG achievement, with digital technology explaining 50.7% of the variance in sustainable development outcomes. These findings suggest that increased utilization of digital platforms and systems contributes to improved economic efficiency, social inclusion, and sustainable development practices. This study provides empirical evidence on the importance of digital transformation in achieving SDGs and offers practical insights for policymakers and stakeholders to strengthen digital-based development strategies in Indonesia
Co-Authors Abdul Rasyid Aditya, Adinda Aldi Bastiatul Fawait Fawait Amaludin, Moh. Baitullah Aniati Aniati Anshori, Abdullah Anshori, Moh. Abdullah Ansori, Tirangga Arini, Rani Eka Aris Triwiyatno Arnes Yuli Vandika Arrafi, Atha Azhar Atmadja, Martono Dwi Baharuddin Baharuddin Bambang Winardi Budi Nugroho Bunyamin, Ilham Akbar Darmawan Listya Cahya Dewa Oka Suparwata Dony Andrasmoro Fildansyah, Rully Hanifah Nurul Muthmainah Hariyadi, Aad Haslinah, Andi Hudiono Hudiono, Hudiono Indrianto, Argo Isa Mahfudi Izati, Nadia Yumni Judijanto, Loso Karnoto . Khristiana, Harrij Mukti Kristiana, Harrij Mukti Kurniawan, Nur Hasan Kusumawardania, Mila Lesmana, Tera Mardiati Mardiati Marjan, M Meylinda, Yossy Dwi Mochammad Junus Moechammad Sarosa, Moechammad Moh. Abdullah Anshori Muntasir, Muntasir Muslimah, Nabila Izzatul Nabila, Amalia Nasirly, Riri - Novitasari, Salwa Aulia Nurmiati, Ai Siti Nurul Hidayati Pahrijal, Rival Priyana, Yana Purnamasari, Sinta Winda Putradi, David Fydo Rahman, Ali Rakhmania, Amalia Eka Riatma, Galih Putra Rissa Megavitry RIZKY ARDIANSYAH Rizza, Nur Robbani, Farisan Saptono, Rachmad Setiadi, Chandrasena Siti Helmyati Sono, Mohammad Gifari Sudarmanto, Eko Usup, Usup Utami, Eva Yuniarti Utomo, Bekti Waluyo Waluyo Yohan Yohan Yusriati, Yusriati