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Jurnal Sistem Informasi Galuh
Published by Universitas Galuh
ISSN : -     EISSN : 29647746     DOI : https://doi.org/10.25157/jsig.v1i2.2949
Core Subject : Science,
Computer Science & IT
JSIG (Jurnal Sistem Informasi Galuh) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran, dan kajian kritis-analitik mengenai penelitian di bidang ilmu dan teknologi komputer, termasuk Teknik Sistem, Teknik Informatika/Teknologi Informasi, Informatika Manajemen, dan Sistem Informasi. sebagai bagian dari semangat menyebarluaskan ilmu yang dihasilkan dari penelitian dan pemikiran untuk pengabdian kepada masyarakat luas. Selain itu, JSIG juga menjadi sumber referensi bagi para akademisi di bidang Ilmu Komputer dan Teknologi Informasi. JSIG (Jurnal Sistem Informasi Galuh) menerbitkan makalah secara berkala dua kali dalam setahun, yaitu pada bulan Januari dan Juli. Semua publikasi di jurnal JSIG bersifat terbuka, memungkinkan artikel tersedia gratis secara online tanpa berlangganan. JSIG (Jurnal Sistem Informasi Galuh) menerima artikel ilmiah dengan ruang lingkup penelitian: 1. Rekayasa Perangkat Lunak 2. Rekayasa Sistem 3. Sistem pakar 4. Sistem Pendukung Keputusan 5. Data Warehouse 6. Sistem Kecerdasan Buatan 7. Jaringan komputer 8. Pengolahan citra 9. Sistem Informasi 10. Sistem Basis Data 11. IoT 12. Machine Learning 13. Topik kajian lain yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 63 Documents
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Analisis Prediksi Kadar CO₂ (PPM) Berdasarkan Suhu Dan Kelembapan Menggunakan Sensor DHT22 Dan MQ135 Dengan Perbandingan Model Machine Learning Berbasis IoT Pada ESP32 Agung Suburdjati, Bacilius; Sukoco, Lisda; Cedric, Xavier
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5726

Abstract

This study aims to analyze and predict carbon dioxide (CO₂) concentration in parts per million (PPM) based on temperature and humidity using DHT22 and MQ135 sensors integrated with an ESP32 microcontroller as an Internet of Things (IoT) system. Data were collected in two measurement sessions. The first session was conducted from 16:00 to 20:00 with a one-second sampling interval, during which significant spikes occurred due to exposure to insecticide fumes. The second session was carried out from 00:00 to 08:00 with a two-second sampling interval, producing approximately 13,000 more stable data points suitable for machine learning analysis. The collected data were processed using several machine learning algorithms, including Linear Regression, Random Forest, CatBoost, LightGBM, XGBoost, and Neural Network (Keras). The results indicate that the CatBoost model achieved the best performance, with an accuracy of 98.9%, a Mean Absolute Error (MAE) of 2.75, and a Mean Relative Error (MRE) of 1.08%. This study demonstrates that an ESP32-based IoT implementation using integrated gas and temperature sensors can be utilized as a simple air quality prediction system and serve as a foundation for developing future intelligent environmental monitoring devices.
Virtualization Analisis Kinerja CPU dan RAM pada VirtualBox untuk Validasi Lingkungan IaaS Lokal Restu Prayoga, Hendrika; Latifah, Noor
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5735

Abstract

In cloud computing, the Infrastructure as a Service (IaaS) model relies heavily on virtualization technology. Developers commonly use Type-2 hypervisors as local testing environments before deploying systems to the actual cloud, with Oracle VM VirtualBox being one of the most widely used platforms. However, the additional virtualization layer can introduce performance overhead on critical resources such as CPU and RAM, potentially affecting the validity of test results. This study aims to measure the percentage of CPU and RAM performance overhead caused by VirtualBox. A comparative quantitative experiment was conducted by evaluating the performance of the Host Operating System (OS) as the baseline and the Guest OS running on VirtualBox using specialized benchmarking tools. The findings indicate increased RAM latency and reduced CPU performance. These results assist developers in optimizing resource allocation and provide essential empirical data to evaluate the feasibility of using VirtualBox as a tool for performance validation in IaaS environments. Additionally, this study highlights how variations in VirtualBox configurations—such as the number of virtual cores and the amount of allocated RAM—affect the magnitude of overhead. This demonstrates that improper configuration choices can lead to significant performance deviations when compared to physical system conditions.
Sistem Informasi Pembelian dan Penjualan Pupuk Disertai dengan Perhitungan Harga Pokok Produksi yang Dilengkapi Tracking Pengiriman Stevanoes, Alvian; Rizky Wicaksono, Soetam
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5749

Abstract

This study was conducted with the aim of designing and developing an information system for fertilizer distribution at PT. Subur Tani Utama. The system includes the recording of raw material purchases, inventory management, product repackaging processes, distribution to client factories, delivery tracking based on geolocation, and payment recording. The development method employed was the Waterfall model, consisting of requirements analysis, system design, implementation, and testing. The application was designed as a web-based system using PHP programming language and MySQL database, supported by a responsive user interface. The implementation results indicate that the system can generate integrated reports on inventory, distribution, repackaging costs, and payments. Therefore, the designed system supports the company’s internal operations by enabling more structured documentation and providing more accurate information for fertilizer distribution management.

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