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Mufidatul Islamiah
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jiskomsia@asia.ac.id
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+6282228942661
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jiskomsia@asia.ac.id
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Jalan Soekarno Hatta Jalan Rembuksari No.1 A, Mojolangu, Malang City, East Java
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INDONESIA
Jurnal Sistem Komputer Asia
Published by Institut Teknologi dan Bisnis Asia Malang
ISSN : -     EISSN : 30310563     DOI : https://doi.org/10.32815/jiskomsia
Core Subject : Science,
Computer Science & IT
Jurnal Sistem Komputer Asia (JISKOMSIA) merupakan jurnal akademik yang menyoroti isu-isu terkini dalam perkembangan sistem komputer. Jurnal Sistem Komputer Asia ini diterbitkan oleh Lembaga Penelitian dan Pengabdian Masyarakat (LP2M), ASIA Institute of Technology and Business Malang, ISSN: 3031-0563 Naskah dalam Jurnal Ilmiah Sistem Komputer Asia merupakan hasil penelitian yang meliputi: Ilmu Komputer, Teknik Informatika, Sistem Komputer dan Sistem Informasi. Para penulis diundang untuk mengirimkan artikel yang belum pernah dipublikasikan sebelumnya dan tidak sedang dipertimbangkan di tempat lain. Jurnal Sistem Komputer terbit dua kali dalam setahun pada bulan Maret dan September dalam upaya mendorong kegiatan penulisan ilmiah secara lebih mendalam dan terukur. Dewan direksi menyambut karya tulis dengan tujuan dan ruang lingkup di atas. Jurnal ini menerbitkan karya tulis yang akan direview oleh reviewer yang ditunjuk oleh dewan direksi. Komentar dan saran dari reviewer diberitahukan kepada penulis
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 25 Documents
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Rancang Bangun Untuk Sistem Penyiraman Pada Tanaman Herbal Jahe Merah Berbasis Node MCU ESP32 Surya Prasetya, Ari; Islamiyah, mufidatul
JURNAL SISTEM KOMPUTER ASIA Vol 2 No 2 (2024): JISKOMSIA - Volume 2, Nomor 2, Tahun 2024
Publisher : Institut Tekonologi dan Binisi Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jiskomsia.v2i2.81

Abstract

Soil Moisture is a major factor affecting ginger growth. For ginger to grow well, adequate water supply and a suitable environment are required. Currently, manual irrigation is inefficient because it requires a lot of energy and constant monitoring to ensure the plants receive enough water. This makes it difficult for plant owners who want to leave their plants for an extended period due to concerns about the plants lacking water and nutrients.To address this issue, an automatic irrigation system for ginger has been developed. This system is designed to reduce dependence on manual irrigation, which requires direct supervision. The automatic irrigation system uses advanced technology, such as the Nodemcu ESP32 as the control center and YL 69 soil moisture sensors. This tool not only facilitates ginger maintenance but also improves resource efficiency and reduces the need for human supervision. In this study, an automatic irrigation tool was developed with the goal of reducing overwatering and underwatering of ginger plants. The tool has been tested and analyzed, yielding satisfactory results to achieve the expected goals of reducing the risk of overwatering and underwatering in red ginger plants.
MobileNetV2 untuk Deteksi Kualitas Tempe di Sentra Industri Tempe Sanan Rizka Fauza, Nazila; Anggitha Sindy Kurnia Aprilia; Ida Wahyuni
JURNAL SISTEM KOMPUTER ASIA Vol 3 No 1 (2025): JISKOMSIA - Volume 3, Nomor 1, Tahun 2025
Publisher : Institut Tekonologi dan Binisi Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jiskomsia.v3i1.134

Abstract

This study aims to develop a tempe quality detection model using the MobileNetV2 architecture, trained with a tempe image dataset from the Sanan Tempe Industry Center. Ensuring the quality of tempe, distinguishing between fit-for-consumption and spoiled tempe, is crucial for consumer safety. MobileNetV2 was selected due to its efficient image classification capabilities with a lightweight model, making it suitable for practical applications. The dataset consists of images of both fit and spoiled tempe, which are used to train the model. Evaluation results demonstrate that the MobileNetV2 model can classify tempe quality with high accuracy. This research aims to provide a solution for accelerating and simplifying automatic tempe quality detection, enhancing efficiency in quality control for the tempe industry. Additionally, this technology holds potential for use in other food industries requiring image-based detection. Keywords: Deep Learning, Image Processing, MobileNetV2, Tempe, Tempe Quality Detection.
Perbandiangan VGG16 dan MobileNetV2 untuk Klasifikasi Tingkat Kematangan Buah Apel Ivani, Aryani Rizky Rahmalia; Kurniadi, Ahmad Zulfi; Andira, Aysza Belia Auly; Wahyuni, Ida
JURNAL SISTEM KOMPUTER ASIA Vol 3 No 1 (2025): JISKOMSIA - Volume 3, Nomor 1, Tahun 2025
Publisher : Institut Tekonologi dan Binisi Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jiskomsia.v3i1.136

Abstract

This research discusses deep learning to classify the maturity level of apples, especially in Batu City, which is known as the center of apple production in Indonesia. This study implements the Visual Geometry Group16 (VGG) model as a deep learning-based image classification method to accurately identify the maturity level of apples. The data used was in the form of images of apples with various levels of ripeness, which were categorized into ripe, half-ripe, and raw. The design of the VGG16 model was chosen because of its simple yet powerful architecture in the extraction of visual features. This research process includes collecting apple image data, preprocessing, model training, and performance evaluation based on accuracy, precision, recall, and F1-score metrics. The results of the experiment showed that the accuracy obtained was 98%. So the VGG16 model is able to classify the maturity level of apples, with the potential for application in automation systems in the agricultural sector.
Pemanfaatan Sensor DS18B20 Sebagai Pemantau Suhu Air Untuk SPA Wellness Menggunakan Metode Fuzzy Mamdani Yakuni, Ahmad; Islamiyah, Mufidatul
JURNAL SISTEM KOMPUTER ASIA Vol 3 No 1 (2025): JISKOMSIA - Volume 3, Nomor 1, Tahun 2025
Publisher : Institut Tekonologi dan Binisi Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jiskomsia.v3i1.156

Abstract

This research discusses water temperature monitoring in wellness spas, using DS18B20 sensors, this research aims to improve the efficiency of water temperature management in wellness spas, ensure user comfort, and optimize energy resources. Fuzzy methods are used to handle temperature uncertainty and complexity, resulting in an adaptive and responsive temperature monitoring system. In the modeling of the system created, it produces an output in the form of an optimal temperature with a range of 37-40 Celsius, but if the sensor detects below that temperature, the system will loop to heat the water until the optimal temperature is reached. If the sensor detects the temperature at the normal threshold, the system will reduce the temperature according to the optimal temperature. In this study, the type of spa used is therapeutic. In modeling this system, the aim is to create an optimal environment for relaxation and well-being. With this approach, water temperature management can be customized according to individual preferences and environmental conditions, contributing positively to the user experience in the context of wellness spas. The research results indicate that the water temperature monitoring device using the DS18B20 sensor provides accurate results from testing with cold and hot water. Additionally, the heating element functions according to the desired set temperature, making it easy and efficient to determine each individual's temperature preference.
Penyiraman Tanaman Mawar Secara Otomatis Berdasarkan Kelembaban Menggunakan Metode Fuzzy Tsukamoto Fajri, Nurul; Islamiyah, Mufidatul
JURNAL SISTEM KOMPUTER ASIA Vol 3 No 1 (2025): JISKOMSIA - Volume 3, Nomor 1, Tahun 2025
Publisher : Institut Tekonologi dan Binisi Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jiskomsia.v3i1.157

Abstract

Watering plants manually usually causes various problems. One of them is the lack of standards for watering the same water in each watering process which will cause the rose plants being cared for to experience excess or lack of air, so that the rose plants will experience root freezing and various diseases. Watering plants economically and on time is one solution. So it would be helpful if there was an automatic watering system that could water evenly using a soil moisture sensor as a parameter to determine watering time. Effective watering of rose plants requires a method so that the control system can achieve what is desired. One control system that is relatively good at producing output responses is the fuzzy method. This fuzzy method is widely used because it is easy to understand and apply in helping the decision making process. The results of soil moisture testing produce a linear graph which shows that if the humidity value is below 55 then the watering duration output is long, if the humidity value is between 55-70 then the watering duration is medium, and if the humidity value is above 70 then the watering duration output is fast or short

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