Journal of Information System Research (JOSH)
Informatics
Explore cutting-edge research in Information Systems with JOSH. A peer-reviewed journal publishing original articles on IS development, management, and impact.
Articles in this Journal
Analisis Spasial Faktor Ekonomi dan Pendidikan terhadap Angka Putus Sekolah Dasar di Indonesia dengan Pendekatan Algoritma Geographically Weighted Regression
The elementary school dropout rate remains a significant educational problem in Indonesia, with varying characteristics across regions. This study analyzes the influence of socioeconomic and educational factors on the elementary school dropout rate i...
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Perancangan Sistem Informasi Penjualan Seragam Sekolah Dasar Berbasis Mobile dengan Menggunakan Metode Prototype
Advances in information and communication technology have driven digital transformation across various sectors, including education and business, making the use of technology crucial for data processing and sales. Information systems are capable of i...
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Sistem Informasi Stok Seragam Berbasis Android sebagai Solusi Pengelolaan Persediaan Toko dengan Menggunakan Metode Prototype
Retail business management requires systems that are capable of providing accurate and timely information, particularly in managing inventory, such as in school uniform stores. Poor inventory monitoring may lead to various problems, including stock d...
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Komparasi Ekstraksi Fitur TF-IDF dan Word2Vec pada Naïve Bayes untuk analisis Sentimen Pembangunan IKN di YouTube
The development of Indonesia’s New Capital City (IKN) has generated diverse public responses on social media, particularly YouTube, making sentiment analysis necessary to map public perceptions. Previous studies have reported relatively low classific...
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Deteksi Intrusi Jaringan Berbasis Machine Learning Menggunakan Model Boosting dengan Session-Level Feature Representation
The increasing complexity of network security threats demands intrusion detection systems that are both contextual and adaptive. Conventional signature-based Intrusion Detection Systems (IDS) suffer from limitations in detecting emerging and previous...
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Implementasi Dashboard Real-Time Untuk Memantau Proses Pendaftaran Webinar Berbasis Website
This research aims to develop a web-based information system with an analytical dashboard to improve business process efficiency and campaign evaluation. The research method employs the Waterfall model. The system is developed with a centralized data...
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Perbandingan Kinerja Algoritma Machine Learning dalam Klasifikasi Sentimen Komentar Publik terhadap Pelayanan Perpajakan
Early identification of malignant transformation in oral leukoplakia is crucial to prevent progression to Oral Squamous Cell Carcinoma (OSCC). However, conventional clinical assessment still faces limitations in terms of accuracy and interpretability...
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Pengembangan Sistem Informasi Monitoring Checklist Maintenance untuk Efisiensi Pemeliharaan Pada Divisi General Affair
The General Affair (GA) Division at a telecommunications company faces problems in the maintenance checklist process, which is still carried out manually using paper and simple worksheets. This process often result in data duplication, inaccurate doc...
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Implementasi Arsitektur CNN untuk Klasifikasi dan Identifikasi Penyakit Daun Tanaman Padi
Leaf diseases in rice plants are a serious threat that can reduce productivity and crop quality, thus directly impacting national food security. Farmers still face various obstacles in identifying diseases conventionally, especially in the early stag...
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Implementasi Metode Random Forest Untuk Memprediksi Jumlah Penjualan Gorden Berdasarkan Data Historis
The rapid development of information technology has encouraged companies, including Tova Gorden, a small business engaged in curtain sales, to adopt technology to improve operational efficiency and competitiveness. Tova Gorden often faces obstacles i...
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Peramalan Curah Hujan Menggunakan Metode Holt-Winters Exponential Smoothing
Rainfall is a crucial climatological parameter for agriculture, tourism, and water resource management. Its seasonal and fluctuating nature requires accurate forecasting methods to capture historical patterns. This study forecasts monthly rainfall us...
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Sentiment Analysis on X, TikTok, and Instagram on Indonesian Capital relocation using Support Vector Machine
This study examines public sentiment toward Indonesia’s new capital city, Ibu Kota Nusantara (IKN), across three major social media platforms: X, TikTok, and Instagram. The research aims to identify how public perceptions differ across platforms and...
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Decision Support System for Selecting Outstanding Students University using the Method Multi Attribute Utility Theory (MAUT)
The Selection of Outstanding Students describes the activities that have been carried out by the Higher Education since 2004. These activities include sorting and distributing awards to students who have achieved great achievements, both curricular a...
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Peningkatan Akurasi Prediksi Stok Bahan Baku Furnitur Menggunakan Algoritma Random Forest Regressor Berbasis Web
This study aims to address the uncertainty of raw material inventory in the furniture industry through the implementation of the Random Forest Regressor machine learning algorithm. The primary problem addressed is demand fluctuation, which frequently...
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Sistem Lingkungan Pintar Solusi Cerdas Pengelolaan Sampah Menggunakan Adaptasi Machine Learning dan Internet of Things
Indonesia's waste generation increased from 28.59 million tons per year in 2021 to 34.21 million tons per year in 2024, a 19.67% increase. However, in 2024, only 46.1% of the total waste generation was successfully managed.. This condition highlights...
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