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Nuril Lutvi Azizah
Muhammadiyah University of Sidoarjo, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience

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Development of the MY PERPUS Digital Library Website at SMA Muhammadiyah 4 Porong Muhammad Najih Fairuzzamani; Mochamad Alfan Rosid; Nuril Lutvi Azizah; Ade Eviyanti
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5771

Abstract

The rapid development of information technology has encouraged educational institutions to adopt digital-based systems to improve the effectiveness of administrative management, including school library services. The library of SMA Muhammadiyah 4 Porong still applies a manual system, which causes several problems such as recording errors, difficulties in searching for books, and inefficiency in the borrowing and returning process. This study aims to develop a website-based library information system called MY PERPUS to support library administration and improve service quality. The development method used in this research is the Waterfall model, which consists of requirement analysis, system design, and website development stages. Data were collected through observation and interviews with library staff and visitors. The developed system is equipped with login and registration features, book master data management, borrowing and returning transactions, and book return reminder notifications via Gmail. System testing using the black-box testing method indicates that all features function properly and produce outputs that meet the expected results. Therefore, the MY PERPUS website is able to improve the efficiency of library management, facilitate book searching, and help minimize delays in book returns..
Predicting Snack Food Production (Pentol) Using Fuzzy Logic Hindarto; Moch Gesang Akbar Jani; Nuril Lutvi Azizah; Cindy Taurusta
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5773

Abstract

Fluctuating market demand and limited inventory are challenges in determining the optimal amount of production, especially for small businesses such as meatball snack production. This study aims to determine the addition of meatball production using the Mamdani fuzzy logic method. This system uses three input variables: income, inventory, and sales demand, and one output in the form of the recommended amount of production. Each variable is modeled with a triangular membership function. The case study shows that with an income of Rp650,000, an inventory of 600 pieces, and a demand of 1,500 pieces, the fuzzy system recommends an additional production of 500 pieces. These results prove that the Mamdani fuzzy method is effective in helping production decision making amidst subjective or vague data uncertainty.
Co-Authors Ade Eviyanti Cindy Taurusta Hindarto Moch Gesang Akbar Jani Mochamad Alfan Rosid Muhammad Najih Fairuzzamani