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All Journal IJEBD (International Journal Of Entrepreneurship And Business Development) The Scientific Journal of Information Systems INTECH (Informatika dan Teknologi)
Badriah, Nurul
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

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OPTIMIZATION OF GYM CHECK IN AND MEMBERSHIP INFORMATION SYSTEM QR CODE SCANNER BASED Badriah, Nurul; Veri Shandy, Sony
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.131

Abstract

The development of information technology provides opportunities to improve operational efficiency in various fields, including membership management at gyms. A QR code scanner-based information system is an effective solution for managing gym member check in. Users can check in simply by scanning a QR code that is linked to their membership data. This system not only facilitates the attendance process but also helps managers monitor the number of member check in, remaining attendance quota, and attendance time. This researcaims to design and implement a QR code scanner-based check in system at the gym, as well as analyze the impact of the system on operational efficiency.
Determinants of Green Financing Implementation Suprapto, Galih; Muljaningsih, Sri; Badriah, Nurul
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 8 No 1 (2025): January 2025
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v8i1.3114

Abstract

Purpose : The severity of climate change and environmental degradation continuing to worsen, the implementation of sustainable development principles in a variety of industries, including Islamic banking, is becoming increasingly important. Islamic banks, which have values that support sustainability, have a strategic role to play in supporting green finance, which refers to the financing of projects that have a positive impact on the environment, such as renewable energy and waste management. Green finance is something that Islamic banks have a strategic role to play in supporting sustainable practices. To be more specific, the purpose of this study is to investigate the influence that green policies, green customers, green operations, and green products have on green financing in Islamic financial institutions. There are a number of factors that fall under this category, including banking products that support sustainability, green operational management, the preferences of customers who are becoming increasingly environmentally conscious, and the policies and regulations that are implemented by banks. Design/methodology/approach : The application of quantitative methods is the primary focus of this study, which is primarily concerned with the analysis of the customers of the Bank Jatim Syariah Kediri Branch. A sample size of seventy-five individuals was utilised for the purpose of data collection. This was accomplished through the utilisation of research instruments and primary data that was obtained directly from the source. Among the methods that are associated with data analysis is the technique known as multiple linear regression analysis. Finding : The green products, green operations, and green policies significantly support green financing, whereas, green customers have no significant effect on green financing. Therefore, banks are advised to continue developing green products, optimising green operations through digital technology, strengthening green policies with clear targets, and engaging customers through education and sustainable products. Paper type : Research type
Desain Sistem Knowledge Management Berbasis Kolaborasi untuk Meningkatkan Berbagi Pengetahuan Guru SMA melalui Integrasi Google Classroom Muttaqi, Fajar; Alfaujianto, Moh; Badriah, Nurul
INTECH Vol. 6 No. 1 (2025): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v6i1.3035

Abstract

Implementation of Regression CART Decision Tree for Best Cycling Time Recommendation Based on Weather Data Badriah, Nurul; Muttaqi, Fajar; Veri Shandy, Sony; Alfaujianto, Moh
Scientific Journal of Information System Vol. 3 No. 2 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i2.233

Abstract

Cycling requires careful time planning to ensure safety and comfort, especially when consideringweather conditions such as temperature, wind speed, and overall weather status. However, cyclistsoften struggle to determine the optimal time to ride due to the lack of accurate and easily accessiblerecommendations. This study aims to design and implement a mobile application that recommendsthe best cycling time based on real-time weather data. The system applies the Regression CARTDecision Tree method, trained using hourly temperature, wind speed, and weather conditionparameters. Unlike classification approaches, Regression CART Decision Tree produces acontinuous percentage score indicating the suitability level of each hour for cycling. Real-time datais obtained via the OpenWeatherMap API to maintain accuracy. The developed prototype displayshourly weather data along with the recommendation percentage, helping users plan their rides moreeffectively. Model evaluation shows that the Regression CART Decision Tree achieved high accuracywith a low Mean Absolute Error (MAE) and strong correlation between predicted and actualsuitability scores. The results confirm that the model performs consistently in various weatherscenarios. Overall, the system successfully delivers reliable, data-driven recommendations, assistingcyclists in selecting the safest and most comfortable cycling times.
Co-Authors Alfaujianto, Moh Muttaqi, Fajar Sri Muljaningsih Suprapto, Galih Veri Shandy, Sony