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JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 754 Documents
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Penerapan Metode Profile Matching dalam Menentukan Sunscreen Terbaik Bagi Kulit Berminyak Berdasarkan Konsumen Zahrawani, Anggie; Husna, Auliya Ul; Agustria, Amanda; Darma, Surya
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7609

Abstract

Exposure to ultraviolet (UV) rays from the sun can have negative effects on skin health, especially for individuals with oily skin who are prone to acne and irritation. This study aims to apply the profile matching method in determining the most suitable sunscreen for consumers with oily skin. The large number of skin care products on the market makes it difficult for consumers to choose the right product for their skin needs. This study aims to apply the profile matching method in recommending skin care products that are suitable for consumers with oily skin. The profile matching method is used to match consumer skin characteristics with skin care product specifications based on certain parameters, such as oil level, skin sensitivity, and desired effects. Data was obtained through surveys and direct testing of consumers with oily skin types. The results of the study show that the application of the profile matching method provides more suitable and satisfying product recommendations for consumers. Based on the research conducted, it was found that the best sunscreens for oily skin are, in order, Wardah with a total score of 2.045, followed by Facetology in second place with a total score of 1.991, then Azarine and The Originote with identical total scores of 1.975, and finally Skintific with a total score of 1.891. The results of this study serve as recommendations for customers.
Peramalan Penjualan Obat dengan Menggunakan Metode Single Moving Average Hidayah, Alvinatul; Barata, Mula Agung; Ardianti, Aprillia Dwi
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8256

Abstract

Luas Nusa Pharmacy faces challenges in managing drug inventory due to unpredictable demand fluctuations, often leading to overstocking or shortages. This situation affects operational efficiency and customer satisfaction. Therefore, a forecasting method is needed to help predict stock requirements more accurately. Forecasting is the process of estimating future needs based on historical data analysis, aimed at supporting decision-making in inventory management. This study employs the Single Moving Average (SMA) method to forecast drug stock at Luas Nusa Pharmacy. Weekly data from 10 best-selling drugs, namely Sanmol Tab, Andalan Biru, Promag Tab, Pirocam, Voltadex, Wiros, Tolak Angin, Stanza, Kalmethasone, and Antangin, were used as the basis for calculations over the past year. The study tested three forecasting periods: 3, 4, and 6 weeks. The results indicate that the 4-week period provides the most accurate prediction with the lowest error values: MAD of 34.80986, MSE of 1797.98, and MAPE of 13.80044, achieving an accuracy rate of 86.20%. The predicted drug stock for the following week, based on the 4-week period, is 224 units. With its high accuracy, the 4-week SMA method is recommended as an effective approach to help Luas Nusa Pharmacy manage drug inventory more efficiently. The implementation of this method is expected to minimize the risk of overstocking or shortages, improve operational efficiency, and ensure optimal service to the community.
Rancang Bangun Sistem Manajemen Administrasi Menggunakan Metode Waterfall Berbasis Web dan Android Ariono, Raul Nazil; Rosadi, Muhammad Imron
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8373

Abstract

Al-Karomah Pandan Foundation still relies on manual administrative processes, which often lead to delays and data inaccuracies. This study aims to develop a web- and Android-based administrative management system to address these issues. The web system was developed using the Laravel framework with PHP and SQL as the database manager, while the Android system was built using the Flutter framework. The development methodology applied was Waterfall, as it is suitable for administrative systems with a clear workflow. Each stage was carried out in a structured manner to ensure that all requirements were met before proceeding to the next stage. System testing was conducted using the blackbox testing method to verify that all functions worked according to requirements, and the results showed that all main features could be used without errors. In addition, user satisfaction testing using the System Usability Scale (SUS) achieved an average score of 75.78%, which falls into the good category, particularly in features such as student attendance, teacher attendance, student re-registration, re-registration payments, tuition (SPP) payments, and exam payments. This study demonstrates that the implementation of an integrated digital system can improve administrative efficiency, data accuracy, and the overall quality of management in educational foundations.
Sistem POS Nobel Press Berbasis Web Menggunakan Metode Agile dengan Teknologi Progressive Web Application Agunawan, Agunawan; Zakilah Ifani, Aulyah; Ircham Hidayat, Andi; Asbara, Nurkhalik Wahdanial
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8452

Abstract

This research aims to develop a web-based Nobel Press Point of Sales (POS) system that is responsive and adaptive to user needs. The problem-solving approach in this study focuses on the development of a web-based Point of Sales (POS) system as a solution for the digitization of transactions at Nobel Press. The Agile method was chosen so that the development process can be carried out gradually and flexibly, adapting to the needs of dynamic users. The results of this study show that the application of Progressive Web Application (PWA) technology in the POS system for Nobel Press provides significant advantages, such as better accessibility and transaction efficiency, even in conditions without an internet connection and the development of a web-based Point of Sales (POS) system at Nobel Press has succeeded in creating an effective solution for digitizing book sales transactions. The test results showed that the system was able to perform key functions well, including stock management, sales transactions, and real-time reporting.
Arsitektur Sistem Informasi dengan Metode Agile Framework Scrum pada Pelayanan PMKS dan Pemberdayaan Kesejahteraan Sosial Ropianto, Muhammad; Pradipto, Dimas; Jarti, Nanda; Fernandes, Atman Lucky
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8458

Abstract

This study aims to design and implement a database-based information system for managing Social Welfare Issues (PMKS) and Social Welfare Potential and Resources (PSKS) in XYZ Village, XYZ District. Currently, PMKS and PSKS data management is still carried out using Microsoft Excel, which causes data entry errors, such as names, population registration numbers (NIK), and recipient addresses. In addition, data retrieval is difficult, and reports take up a lot of file storage space. Microsoft Excel is also not well integrated and does not allow for direct monitoring. The information system was developed using the Agile approach with the Scrum method and designed using database-based programming, PHP, and MySQL. In the design stage, the Waterfall method was used to design the system, and modeling using Unified Modeling Language (UML) was used to describe the structure and interactions between system components. The results of this research include needs analysis, system design with UML modeling, and 64 tables that support system development. System testing was conducted using Black Box Testing, which involved the PMKS Admin, PSKS Admin, and Public Services related to PMKS and PSKS data management in XYZ Village, XYZ District. The test results showed that the developed information system was successful and could facilitate data management, information retrieval, and report generation, as well as facilitate direct monitoring. In addition, this system requires data classification on the dashboard to display information in a more executive manner, particularly to support annual reports. To maintain the sustainability of this system, it is necessary to improve human resources in the operation and maintenance of the system so that it can continue to function properly and support the management of PMKS and PSKS in XYZ Village, XYZ District.
In-Situ Database Machine Learning: Evaluating SQL-Based K-Means for E-Commerce Sales Analysis Sembiring, Joanne Polama Putri; Yunmar, Rajif Agung
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8468

Abstract

Conventional machine learning techniques, such as K-Means clustering, often necessitate transferring data outside the database for analysis, which introduces inefficiencies, potential data inconsistencies, or security and privacy concerns. This research proposes an in-situ database machine learning approach by implementing the K-Means clustering algorithm directly within the database management system through using stored procedure. The methodology comprises five main stages: collection of public datasets (from Kaggle), data preparation and cleaning, transformation of data through cyclical feature encoding for temporal context, in-database K-Means implementation, and performance evaluation. The evaluation utilized the Silhouette Score metric and execution time to compare the proposed in-situ approach with a conventional off-database implementation. The in-situ database clustering achieved an optimal Silhouette Score of S ≈ 0.914 in a remarkably short time of 0.0121 seconds. In comparison, the conventional off-database clustering achieved an identical quality score, but required a significantly longer execution time of 1.2956 seconds. This means that, to achieve the exact same cluster quality, the in-situ method is approximately 107.07 times faster than the off-database method. The identical score confirms the mathematical correctness of the SQL-based implementation and indicates excellent cluster quality. The findings of this study demonstrate that the in-situ database clustering approach is a superior methodology. This exceptional efficiency, validated by the successful categorization of e-commerce sales data into distinct demand patterns, lays a strong foundation for developing more effective and efficient predictive analytical strategies and data-driven decision-making, particularly for inventory planning.
Implementasi Voice Detection dan Geolocation Aplikasi Pelaporan Kejahatan di Jalan Raya Realtime Berbasis Mobile Ma'arif, Restu Sofyan; Mardhiyyah, Rodhiyah
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8527

Abstract

The prevalence of public space crimes, particularly street crimes like mugging and klithih, has become a crucial issue disrupting community safety and comfort. Current emergency reporting systems, which rely on phone calls or direct visits to police stations, are often hampered by time delays, reducing the effectiveness of intervention. To address this, an integrated crime reporting system is proposed through an Android mobile application developed using the Waterfall method. This solution enhances conventional systems by implementing Geolocation and Voice Detection technologies. Geolocation enables precise mapping of incident locations, ensuring location data remains accurate to within 9 meters even with a weak GPS signal Meanwhile, Voice Detection acts as the initial trigger for crime reporting. It proactively analyzes ambient audio for specific shout patterns, which indicate an emergency. The model achieves an accuracy of 0.9590% in noisy environments. Upon detection, the system automatically sends simultaneous emergency notifications to all nearby app users and security authorities within 2 seconds. This application is expected to significantly optimize crime response times, contributing tangibly to enhancing public safety and security.
Metode Extreme Programming Pada Sistem Informasi Penjualan Toko Berbasis Website Nasir, Mochamad; Artanto, Fenilinas Adi; Hardani, Andaru Alwan Afif; Aini, Aulia Nurul
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.6721

Abstract

The development of a website-based information system has become an efficient solution for improving the sales and marketing process, especially for small businesses such as Toko Amuan which sells shirts. To address Toko Amuan's need for information system development, a website-based sales information system was created using the Extreme Programming (XP) development method and Unified Modeling Language (UML) design. This system has two main access rights, namely admin as shop manager and user as buyer or customer. Users have access to view products, place orders and complete payments. Meanwhile, the admin is tasked with managing products, monitoring orders and validating transactions. This system was developed using the PHP programming language with a bootstrap framework and MySQL database. System testing was carried out using the Black Box Testing method which shows that the Amuan Store sales system runs according to the design and does not show any errors or bugs. The development results show that this system is able to support the Amuan Store's needs in marketing products, recording transactions in a structured manner and increasing operational efficiency. The XP method also allows for system development, so that the system can continue to be updated according to market needs and dynamics. In this way, it is hoped that the sales information system for the Amuan Store will be an adaptive and responsive solution in supporting the sales management of the Amuan Store.
Sistem Pemantau Pencemaran Air Sungai Berbasis IoT dan Komunikasi Lora Fauzi, Rasyid Achmad; Irianto, Kurniawan
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8520

Abstract

River water quality degradation is a significant environmental issue that endangers aquatic ecosystems and public health. Monitoring systems face limitations related to data acquisition latency and operational range, particularly in remote locations. This study presents the design and implementation of an Internet of Things (IoT)-based river water quality monitoring system for real-time pH and Total Dissolved Solids (TDS) measurement. The system architecture consists of an Arduino Uno-based sensor node that acquires data and transmits it via a Long Range Communication (LoRa) module to an ESP32-based gateway. The gateway then stores the data on a Firebase cloud server for visualization on a custom web interface. Test results show a 100% success rate of LoRa data transmission over a distance of 20 meters with an average end-to-end system latency of 3.08 seconds. These findings demonstrate that the developed system can be a highly responsive solution for early detection of contamination, thus supporting faster intervention efforts for aquatic ecosystem protection and public health.
Implementasi Firebase Cloud Messaging untuk Meningkatkan Efisiensi Pencatatan Keuangan pada Aplikasi Android SmartMoney Tyas, Putri Cahyaning; Anshori, Arif Iman; Naufal, Abdul Razak
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8560

Abstract

Personal money management is often overlooked by most people, irregular financial management often results in a mismatch between income and expenses, thus triggering uncontrolled spending. This study ims to improve the efficiency of user habits in recording finances by implementing a reminder (notification) feature using Firebase Cloud Messaging (FCM) on the SmartMoney application. The data collection method for this study uses questionnaires and research, based on an initial survey conducted by distributing questionnaires, as many as 73% of them rarely record transactions because they forget and feel the manual recording process is inefficient. The SmartMoney application development process uses the Incremental Development method, Meanwhile, functional testing was conducted using the Black Box Testing method to check the extent to which reminder messages were successfully received under various application usage conditions. Testing was carried out 10 times per device for a total of 30 trials. The test results showed that notification messages were successfully delivered 95% of the 30 trials, whether the application was running in the foreground, background, or had been completely closed. The implementation of FCM has proven effective in providing transaction information directly to users (Killed). Therefore, this study shows that the implementation of Firebase Cloud Messaging (FCM) is able to create effective and consistent push notification (Notification Reminder) feature for users so that it can increase the efficiency of more orderly financial recording.

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