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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 795 Documents
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Analisis Sentimen Layanan J&T Express pada Sosial Media X Menggunakan Algoritma Naïve Bayes Clasifier dan K-Nearest Neighbor Priady, Muhamad Ilham; Afdal, M.; Permana, Inggih; Zarnelly, Zarnelly
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7721

Abstract

The demand for goods delivery services is increasing along with the widespread use of e-commerce platforms for buying and selling. One of the popular and frequently used delivery service providers is J&T Express. Until now, J&T has had a wide service coverage. However, various customers also have complaints that are often conveyed through social media X. For this reason, this study conducted a sentiment analysis of J&T Express user opinions on social media X using the Naïve Bayes Classifier (NBC) and K-Nearest Neighbor (KNN) algorithms. Data collection was carried out through scraping over a time span from January 1, 2023 to December 1, 2024, resulting in a total of 1,000 data points. The modeling results show that the NBC algorithm outperforms KNN, achieving an accuracy of 72.30%, a precision of 74.76%, and a recall of 72.30%. Meanwhile, the KNN algorithm with the best parameters (K = 9) only has an accuracy of 67.29%, precision of 69.46%, and recall of 67.29%. Then the results of the analysis show that J&T user opinions are dominated by negative sentiment (42.20%), followed by positive sentiment (38.70%) and neutral sentiment (19.10%). Further analysis based on five variables was also conducted and an understanding of J&T's weaknesses, namely in the service aspect, with the highest negative sentiment (21.0%). On the other hand, the user experience aspect is an advantage with the most positive sentiment (16.8%). The data visualization results also indicate that there are dominant customer complaints about the delay in the delivery process. However, customers also appreciate the speed and security of the delivery of goods. These findings provide valuable insights for J&T Express to conduct evaluations and improvements, especially in the service aspect, to improve overall customer satisfaction and experience.
Perancangan Sistem Informasi Geografis Berbasis Web dengan Geotagging untuk Pengaduan Masyarakat dan Pendataan Kerusakan Infrastruktur Affiza, Denhaz Pattra; Abdullah, Dahlan; Muthmainnah, Muthmainnah
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7798

Abstract

Maintenance of public infrastructure such as potholed roads, damaged bridges and malfunctioning lighting is often hampered by the absence of a fast, accurate and location-based reporting system. This results in a slow response from relevant agencies in dealing with the damage. This research aims to design and develop a web-based Geographic Information System (GIS) equipped with geotagging features to facilitate digital and spatial reporting of infrastructure damage. The system was developed using the Waterfall method through the stages of analysis, design, implementation, and testing. The technologies used include Laravel, JavaScript, HTML, CSS, and OpenStreetMap. The main features of the system include a reporting form with automatic geotagging, an interactive map, and an admin dashboard for the verification process. Testing was conducted using the Black Box and User Acceptance Test (UAT) methods, which resulted in 90% efficiency, 87% service, and 81% design scores. These results show that the designed system is able to improve reporting efficiency and strengthen community participation. This system is expected to be a participatory and transparent technology solution in managing and handling public infrastructure more quickly and responsively.
Implementasi Metode Teachable Machine Untuk Pengidentifikasian Ekspresi Wajah Secara Real-Time Pratama, Ridho Danang Budi; Irwiensyah, Faldy
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7819

Abstract

This study implements a direct facial expression detection system via the web using teachable machine and tensorflow.js. This system utilizes machine learning technology that operates directly in the browser without the need for a special server. With the transfer learning method, the model is trained to recognize various facial expressions such as happy, sad, angry, and neutral. This implementation uses a convolutional neural network (cnn) architecture that has been optimized for web activities. The results of the test show a detection accuracy level of 85-90% with a response time of under 200ms. This solution provides a lightweight option for emotion recognition applications that can be easily accessed via a web browser. The main advantages of this system are ease of implementation, cross-platform support, and maintaining data privacy because the process is carried out locally.
Penerapan Algoritma K-Means Clustering dalam Analisis Pengelompokan Produk Toko Oleh-Oleh Berdasarkan Data Penjualan Chairunnita, Chairunnita; Handayanto, Agung; Dewanto, Febrian Murti
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7832

Abstract

Toko Oleh-Oleh Dury Weleri faces challenges in inventory management and promotional strategy due to the limitations of a conventional sales data recording system. This study aims to classify products based on sales performance using the K-Means Clustering algorithm by analyzing total sales, average sales, and remaining stock attributes. The optimal number of clusters was determined through a combination of the Elbow Method, Silhouette Score, and Davies-Bouldin Index, resulting in four main clusters. Cluster 0 consists of products with low sales and high stock (indicating potential overstock), Cluster 1 includes products with high sales but low stock (key products), Cluster 2 comprises products with moderate sales and relatively high stock (requiring light promotions), and Cluster 3 contains products with low sales and very low stock (likely seasonal or low-priority items). The clustering evaluation produced a Silhouette Score of 0.47336 and a DBI of 0.72644, indicating a reasonably good grouping quality. Interactive visualization via Streamlit provided strategic insights for decision-making regarding restocking and promotional planning. These findings are expected to support management in optimizing inventory control, improving operational efficiency, and developing more targeted sales strategies.
Sistem Pendukung Keputusan Pemilihan Ekstrakulikuler Sekolah Terbaik dengan Menggunakan Metode Multi Attribute Ultility Theory (MAUT) Masitoh, Agustine Hana
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7836

Abstract

The development of technology that is currently developing very rapidly is very helpful in learning activities at school. Technology has a very important role in education. Education is one of the potentials that is needed to improve activities in schools. These activities are extracurricular activities. Extracurricular or extracurricular activities are activities to develop the talents of students who are outside the classroom or outside class hours and are not required by students to carry out these activities. school as the goal of increasing knowledge, skills, and insight as well as shaping the character of students according to their respective interests and talents. This study aims to build a decision support system (DSS). Where has a function in determining decision making in the process of determining the best school extracurricular activities by establishing the MAUT method. And get the results of the first rank correctly and the first alternative is A2 with a preference value of 0.806 which is found in volleyball exuls.
Penerapan Metode Time Series Model ARIMA dalam Peramalan Jumlah Pengunjung Perpustakaan di Lembaga Pendidikan Dasar Nuha, M. Ulin; Huda, Muhmat Maariful; Prabowo, Tito
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7843

Abstract

This research is conducted to predict the number of visitors to libraries within primary education institutions by employing the Autoregressive Integrated Moving Average (ARIMA) modeling technique. The dataset comprises daily visitor records spanning from January 2023 to December 2024. The forecasting process adopts a time series framework, which includes steps such as data preprocessing, stationarity verification through the Augmented Dickey-Fuller (ADF) test, identification of parameters using Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots, and the selection of the optimal model based on statistical significance and performance metrics, particularly the Mean Squared Error (MSE). Out of 35 evaluated ARIMA configurations, the ARIMA(2,0,11) model demonstrated the best performance, achieving the lowest MSE score of 789.08 and exhibiting statistically meaningful parameters. Moreover, the model passed the Ljung-Box diagnostic test, confirming that the residuals behave as white noise.The forecasting results for January 2025 show a stable and realistic trend. Compared to baseline methods such as Naïve Forecast, the ARIMA model demonstrates superior performance by effectively capturing data fluctuations. Therefore, ARIMA(2,0,11) is considered effective and accurate in supporting data-driven library service planning for the future.
Analisis Sentimen Aplikasi Mobile JKN di Google Play Store Menggunakan Algoritma Naive Bayes Naufal, Luthfi Eka; Surojudin, Nurhadi; Afriantoro, Irfan
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7846

Abstract

Health is a human right that must be fulfilled by the state, one of which is through the National Health Insurance-Kartu Indonesia Sehat (JKN-KIS) program managed by BPJS Kesehatan. To support the service, BPJS Kesehatan launched the Mobile JKN application in 2017. However, in its implementation, this application still faces various technical issues that affect user satisfaction and experience. This study aims to analyze user sentiment towards the Mobile JKN application by applying the Naive Bayes classification method. The data used comes from 10,000 user reviews on the Google Play Store in the period April to June 2024. The analysis results show that most reviews are positive (64%), followed by negative reviews (32.61%), and neutral (3.39%). The Naive Bayes model used showed excellent performance with an accuracy of 91.3%, an Area Under Curve (AUC) value of 0.985, and balanced precision and recall. However, the classification of neutral reviews is still not optimal due to their ambiguous nature. This research provides useful input for BPJS Kesehatan to improve the quality of JKN Mobile application services and increase user satisfaction.
Classification of Indonesian Undergraduate Students’ Awareness Level of Phishing Attacks using Decision Tree Algorithm Tangka, George Morris William; Putra, Edson Yahuda
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7859

Abstract

Phishing remains a dominant cyber-crime vector in higher-education settings, yet most Indonesian campus studies stop at descriptive awareness surveys. This study sets out (i) to build a fully interpretable predictive model that can classify students’ phishing-awareness levels from a concise questionnaire and (ii) to demonstrate how the model’s rules can be mapped to established behavioural theory for targeted educational intervention. Guided by the Cross-Industry Standard Process for Data Mining (CRISP-DM), we transformed a ten-item phishing-awareness instrument into a 153 × 10 binary matrix drawn from 153 undergraduate responses (82 male; 71 female) and analysed the data with a cost-complexity–pruned Classification-and-Regression Tree (CART). The optimal tree (depth = 5, 19 leaves) achieved 94.9 % accuracy, 93.4 % recall, 95.8 % precision, and a 0.971 ROC-AUC under stratified 10-fold cross-validation—metrics comparable to ensemble methods but obtained with a glass-box structure that exposes explicit IF-THEN rules. The three most salient splits—URL-domain mismatch, urgency cues, and misconceptions about the HTTPS lock icon—directly align with Protection Motivation Theory constructs, providing actionable targets for micro-learning modules. Because the dataset originates from a single campus and governance prerequisites (fairness audit, GDPR impact assessment, SOP alignment) are pending, the model will run in “shadow mode” next term to collect longitudinal evidence and monitor concept drift. Overall, the findings show that concise, theory-grounded instruments combined with pruned decision trees can achieve high predictive power and immediate pedagogical value without sacrificing transparency.
Perancangan Sistem Informasi Sanggar Seni Kirana Budaya Berbasis Website Menggunakan Metode Agile Development Maharani, Ayu Pramesti; Prabowo, Tito; Putra, Fatra Nonggala
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7874

Abstract

The Kirana Budaya Art Studio is an institution engaged in the preservation of arts and culture through various activities such as dance training and costume rental. However, the manual administration management causes various challenges, such as time efficiency, data accuracy, and limitations in conveying information to the wider community. To overcome these problems, a website-based information system was developed that was designed to support the studio's operational needs. This system was built using the Agile Development method, which allows the development process to be carried out iteratively by involving input from end users on an ongoing basis. This approach ensures that the resulting system can adapt to the dynamic needs of the studio. The main features developed include class registration, schedule management and activity classes, and costume rental. The purpose of this research is to produce a website-based information system using the Agile Development method that can disseminate information as well as become a medium for renting art products and services to the wider community in an easily accessible manner. The results of the implementation of this system show increased efficiency in data management, more effective delivery of information to users or customers, and optimization of promotions through digital media. With this website-based information system, the Kirana Budaya Art Studio can improve the quality of services and support efforts to preserve arts and culture in a more professional and modern manner.
Rancang Bangun Aplikasi Penyewaan Kendaraan Berbasis Web Menggunakan Metode Waterfall Bilal, Mohamad; Hanif, Isa Faqihuddin
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7890

Abstract

This research aims to design and develop a PHP-based vehicle rental application for PT. Duta Rental Mobil using the Waterfall method. The rapid advancements in information technology have transformed the operations of many businesses, including the vehicle rental sector. PT. Duta Rental Mobil currently manages rental data, vehicle inventory, and transaction reports manually, leading to inefficiency, potential errors, and a lack of data accuracy. This application is developed using PHP and MySQL, focusing on managing customer data, vehicle information, and transactions. With the expectation that computerized results will enhance operational efficiency, minimize errors, accelerate transactions, and provide accurate real-time information.

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