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All Journal Journal of Informatics and Computer Science (JINACS) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Journal of Emerging Information Systems and Business Intelligence (JEISBI) Journal of Education Technology and Information System
Palupi, Ghea Sekar
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Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health

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Rekayasa Sistem SIMLPPM untuk Pemantauan Penelitian di Universitas Negeri Surabaya Wibawa, Rindu Puspita; Prismana, I Gusti Lanang Putra Eka; Palupi, Ghea Sekar; Sisephaputra, Bonda
Journal of Informatics and Computer Science (JINACS) Vol. 5 No. 04 (2024)
Publisher : Universitas Negeri Surabaya

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Abstract

Universitas Negeri Surabaya (UNESA), melalui Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), berkomitmen mengembangkan budaya riset dan pengabdian yang inovatif serta berorientasi kewirausahaan. Dalam rangka memperkuat sistem pelaporan kegiatan penelitian, SIMLPPM sebagai sistem informasi utama di UNESA dinilai perlu penguatan, khususnya dalam penyajian data yang lebih terperinci dan informatif. Untuk itu, pengembangan fitur dashboard dirancang agar mempermudah akses data penelitian bagi civitas akademika, reviewer, dan pimpinan universitas. Dashboard ini dirancang menggunakan prinsip Business Intelligence untuk menyajikan data secara visual dan interaktif melalui grafik dan indikator kinerja, yang mencakup evaluasi proposal, jumlah peserta, dan distribusi penelitian antar fakultas. Penelitian ini menggunakan metode SDLC model waterfall, dengan tahapan lengkap dari analisis kebutuhan hingga pengujian sistem. Hasil rekayasa sistem menunjukkan bahwa dashboard berhasil memenuhi kebutuhan pelaporan internal, mendukung pencapaian indikator kinerja utama (IKU), dan meningkatkan efisiensi dalam pengelolaan data penelitian di UNESA. Kata Kunci— Dasbor, Pelaporan, Sistem Informasi, Riset, Teknologi Informasi.
Information Technology Asset Risk Management for XYZ Digital Wallet Application with ISO 3100:2018 and FMEA Hana Putri, Meidiana; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70220

Abstract

A digital wallet application is a type of information technology service in the financial sector. This digital service relies on IT assets to support its business processes. Therefore, service providers must ensure the security and availability of these assets by analyzing potential risks. This study conducts a risk management analysis of the XYZ digital wallet application using an integrated approach based on the ISO 31000:2018 framework and the FMEA method. The process includes stages of communication and determination of analysis needs, risk assessment, risk evaluation, and risk treatment. Based on the identification of critical assets, which include hardware, software, data, and human resources, a total of 18 assets were found to support the business processes of the XYZ digital wallet application. From the risk evaluation results, five risks were identified as priorities: illegal access to personal computers and laptops, physical damage to computer components due to water spills, data leaks related to application performance, loss of user information during backup processes, and physical damage to the local cable network. As a result, risk treatment recommendations were provided to mitigate these prioritized risks.
Analysis of Interest in ERP Implementation Using the UTAUT Model in East Java MSMEs Sofia, WInda; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70746

Abstract

The development of information technology encourages micro, small and medium Enterprises (MSMEs) to implement an Enterprise Resource Planning (ERP) system to improve the efficiency of their business processes. However, the application of ERP among MSMEs is still relatively low, especially in East Java. Enterprise Resource Planning (ERP) is known as enterprise resource planning, which refers to managing various aspects of a company's business in an integrated manner. This study aims to determine the factors that influence interest in the use and behavior of using the ERP (Enterprise Resource Planning) system with the Unified Theory Of Acceptance And Use Of Technology (UTAUT) model. The UTAUT model has four independent variables, namely performance expectations, effort expectations, social influence, and facilitating conditions. The UTAUT model has two dependent variables, namely user interest and technology use behavior. In addition, this study adds one other variable, namely software security. In this study, a sample of 100 MSMEs was used. Data was obtained by distributing questionnaires and meeting with MSME owners in East Java. The data was then analyzed using SmartPLS 4.0 software. The test results indicate that the variables of performance expectations and facilitating conditions have a positive and significant effect on interest in using the ERP (Enterprise Resource Planning) system. Then, the hypotheses that were rejected, namely effort expectations, social influence, user interest and technology usage behavior.
Implementation of Time Series Method in Drug Sales Forecasting at XYZ Pharmacy Using a Dashboard on the "Riycast" Website Shahab, Ali Zainal Abidin; Palupi, Ghea Sekar
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

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Abstract

Apotek XYZ faces significant challenges in drug stock management due to unpredictable seasonal demand fluctuations, particularly during flu season, which risks stock shortages or excess inventory. This study implements a Long Short-Term Memory (LSTM) method for time-series-based drug sales forecasting and develops the "Riycast" web dashboard as an interactive stock management solution. Historical daily sales data (January 2021–December 2024) for 10 key drugs (e.g., multivitamins, flu medications) were processed through CRISP-DM stages including data cleansing, normalization, seasonal decomposition, and hyperparameter tuning via grid search. The LSTM model captured seasonal patterns and trends with variable accuracy (RMSE 0.11279–0.31552), peaking for Ultraflu and Vitalong Z Sinc. The Riycast dashboard built with Flask(backend), React.js (frontend), and MySQL features real-time sales data input, interactive prediction visualizations, historical trend analysis, and automatic surge alerts (>100 units). Implementation boosted stock management efficiency by 30% in trials, reduced stockout risk by 25%, and enabled data-driven decisionmaking at Apotek XYZ.
Co-Authors Amalia, Maula Cahya Bisma, Rahadian Bonda Sisephaputra Damayanti, Prinsis Risma Hana Putri, Meidiana I Gusti Lanang Putra Eka Prismana, I Gusti Lanang Putra Eka Maghfiroh, Nungki Maraqonitatilla, Maraqonitatilla Napitupulu, Virelle Rachel Caroline Sa'adah, Choirotus Santosa, Dewi Shafitri Rachmadhani Putri Shahab, Ali Zainal Abidin Sofia, WInda Suryono, Muhammad Zacky Susanti, Martini Dwi Endah Suyono, Fatasya Wibawa, Rindu Puspita