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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA Jurnal DISPROTEK Jurnal Nasional Komputasi dan Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Pendidikan JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Muria Jurnal Layanan Masyarakat Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Masyarakat Bhinneka Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Masyarakat Madani Indonesia Jurnal Pengabdian Teknik dan Sains (JPTS)
Yudie Irawan
Universitas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
Sistem Informasi Pengelolaan Persediaan berbasis Safety Stock pada Industri Konveksi Seragam Polisi Farhan, Faris Ahmad; Setiawan, Raden Rhoedy; Irawan, Yudie
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.31248

Abstract

Manual stock management often leads to various problems, such as delayed information, recording errors, and low operational efficiency, highlighting the need for a more integrated and efficient inventory information system. This study aims to develop a web-based inventory management information system that can automatically implement the safety stock and reorder point methods. The system is designed to determine the minimum inventory level, calculate reorder timing, and provide alerts when stock reaches the minimum threshold to support more accurate restocking decisions. This is applied research that uses the Waterfall model to develop a web-based inventory system for a garment manufacturing business. The stages include needs analysis through observation and interviews, system design using flowcharts and use case diagrams, implementation using PHP and MySQL, and testing using the black-box method. Our findings resulted in an information system equipped with safety stock and reorder point features to automatically determine the minimum stock level and reorder timing. The test results showed that all features functioned properly, increasing data entry speed, improving data accuracy, and supporting better restocking decisions. This system can be used by small businesses that require efficient, real-time, and structured inventory management.
An Integrated Safety Stock and Net Promoter Score System for Inventory and Customer Loyalty Badruzzaman, Arya Putra; Irawan, Yudie; Adiyono, Soni
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33557

Abstract

Manual and separate inventory management and customer loyalty monitoring often lead to information delays, record-keeping errors, low operational efficiency, and an unmonitored relationship between stock availability and customer perception. The aim of our research was to develop a web-based sales and loyalty information system that integrates Safety Stock and Net Promoter Score (NPS) methods into a single decision support framework. Our research is a study of system development using the Waterfall model, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance, supported by use cases and activity diagrams. The findings of this study are an integrated system that is able to calculate minimum stock levels, safety stocks, risk of stock-outs, and display real-time NPS visualizations. The test results obtained through black box testing on system access, inventory processing, and NPS reporting show that all key functions are running well and to specification. The implications of this study suggest that the proposed system can improve inventory accuracy, reduce the risk of stock shortages, improve operational efficiency, and support objective, responsive, and sustainable managerial decision-making for small and medium-sized distributors through an integrated and reliable information system.
Mapping Digital Sentiment Landscapes of Hotel Reviews: A Machine Learning-Based Cross-Platform Analysis Ridwan, Muhammad Kholid; Irawan, Yudie; Setiawan, Raden Rhoedy
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33701

Abstract

The expansion of online travel agencies (OTAs) has produced large volumes of user-generated hotel reviews, offering important resources for sentiment analysis of consumer perceptions. However, prior studies largely rely on single-platform datasets and focus on classification performance, with limited attention to cross-platform sentiment consistency and the impact of data imbalance. This study aims to analyse and compare sentiment patterns across Traveloka, Tiket.com, and Accor, while evaluating a machine learning framework under imbalanced data conditions. This study adopts a quantitative experimental design using 3,000 Indonesian-language reviews collected via web scraping. The independent variable is reviewing text, and the dependent variable is sentiment classification (positive/negative). Data were preprocessed and transformed using TF-IDF, and classified using Multinomial Naïve Bayes, with performance evaluated by accuracy, precision, recall, and F1-score. The results show that positive sentiment consistently dominates across all platforms, with Accor achieving the highest performance, followed by Tiket.com and Traveloka. However, very high recall values for the positive class indicate substantial class imbalance, which biases predictions and reduces sensitivity to negative sentiment. This study provides empirical evidence of cross-platform sentiment consistency and highlights the importance of addressing data imbalance in sentiment modelling.
Co-Authors Aderochman, Itsnain Nur Aditya, Ahsanu 'Amala Adiyono, Soni Andy Prasetyo Utomo Arif Setiawan Arifviando, Muhammad Villa Aris Sugiharto Badruzzaman, Arya Putra Bagus Deva Pratama, Mohammad Chalim, Noor Diana Laily Fithri Dwi Puspitasari Dwi Puspitasari Eko Darmanto Elsa Violina Damayanti Endang Supriyati Fadila Ullul Azmie Fajar Nugraha Farhan, Faris Ahmad Fitri Budi Suryani, Fitri Budi Hakim, Adam Fathul Hikhmah, Fitria Nurul Ida Siti Marfuah Indana Fauzul Ula Indriyani, Sofiatul Janah, Susi Nor Kalya Agil Prasetya Kurniawan, Aldhi Ari Kurniawan, Rizky Dwi Lukito, Aji Marchela Tri Amanda Mimbar Maulana, Bintang Sultan Mochammad Imron Awalludin Mohammad Rosul Mubarrizi, Nor Muhammad Muhamad Sholikhudin Muhammad Arifin Muhammad Rizqi Pradana Mustafid Mustafid Nanik Susanti Nesicha, Yutia Nia Noor Latifah Noor Latifah Pratomo Setiaji Pratomo Setiaji Priyambodo, Ragil Putri Kurnia Handayani R Rhoedy Setiawan R.Rhoedy Setiawan Rahmatika, Alifia Ayu Rahmawati, Amelia Rahmawati, Yulinda Ridwan, Muhammad Kholid Rinata, Arba Romadhon, Zainur Savitri Wanabuliandari Setiawan, Raden Rhoedy Silvia Himmatul Aliyyah Syafiul Muzid Taufiq, Muhammad Bagas Widhiarta, Faris Widiyatmoko, Fahmi Agung Wiwit Agus Triyanto Zulfa Himmatul Ulya Zuyyina Syarifa Yahya