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INDONESIA
Jurnal Ilmu Komputer dan Sistem Informasi
Published by Unity Academy
ISSN : 28306031     EISSN : 28303954     DOI : -
Core Subject : Science,
Computer Science & IT Library & Information Science
Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) dikelola secara profesional oleh LKP UNITY Academy dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya dalam panduan Kemendikbud Ristek Dikti. Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Adalah sebuah Jurnal blind peer-review yang didedikasikan untuk publikasi hasil karya ilmiah yang berkualitas di bidang Ilmu Komputer dan Teknologi Informasi (bidang rekayasa perangkat lunak, ilmu komputer, sistem informasi, teknologi informasi dan komunikasi, meachine learning, mikrokontroller, artificial intelligence, computer vision, jaringan komputer). Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Terbit 3 kali setahun (Januari, Mei, September).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 3 No. 2 (2024): Mei 2024" : 6 Documents clear
PENERAPAN METODOLOGI PENGEMBANGAN SISTEM WATERFALL PENGEMBANGAN APLIKASI BUKU TAMU BERBASIS ANDROID Rizky Khairuna; Muhammad Dedi Irawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.93

Abstract

Information systems are an important part of an agency because they can provide convenience in many ways, such as making data processing more effective, efficient in decision making, and can save time and costs. Guestbooks which are still done manually can cause confusion in recapitulating the desired guest data and can take quite a long time. Currently at the Sei Kera Hulu Subdistrict Office, processing of guest data is still done manually using stationery. With this, the researcher developed Android-based media which aims to record guest data and facilitate access to guest needs and improve the guest experience in order to improve operational efficiency, data accuracy and the overall guest service experience. The research process carried out starts from problem formulation, determining objectives, literature study, data collection, analysis of current and required systems, system interface design, implementation and testing. The system development method used in this research is the waterfall method which consists of five stages. The results of this research are that the system can run well, making it easier to access guest needs, increasing operational efficiency, data accuracy and the overall guest service experience.
Penerapan Metode Rigging Pada Pembuatan Video Animasi 3D Bercocok Tanam Sayuran Hidroponik dan Non Hidroponik Menggunakan Unity Ernanda Wijaya; Herlina Harahap; Dharmawati
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.120

Abstract

Gardening and farming are the activities of planting and caring for plants for a specific purpose, such as to produce food, flowers, or medicinal plants. Gardening and farming are usually done in gardens, parks, or farmland. In gardening and farming, we need to understand various aspects, such as the type of plants to be planted, land preparation, planting techniques, plant maintenance, and also how to overcome problems that arise during the plant growth process. Indonesia has a fairly extensive greening program, there are still several problems related to greening in Indonesia, including: Lack of consistency in the implementation of greening programs, Lack of community support and understanding of the importance of greening, and others. This 3D animated video tutorial on farming organic, non-organic, and hydroponic plants with this rigging method is one effective way to provide information and education to the public about how to grow crops and gardening correctly and efficiently. The rigging method used in making this video allows the characters in the animation to move and interact naturally, so that the tutorial presented looks more lively and interesting. Basically, this animation video processing uses the Unity 3D application, and supporting applications such as Blender and SketchFab to obtain some of the assets needed. The result of the animated video created is in the form of a .mp4 file that can be played on various devices. Based on the test results that have been obtained, this animated video is very helpful for children and the community in farming and gardening.  
APLIKASI ANAGLYPH 3D TATA CARA SHOLAT DAN DOA BERBASIS LIGHT VIRTUAL REALITY Ahmad Muammar Lubis; Sumi Khairani; Rismayanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.121

Abstract

Prayer is the second pillar of Islam and it is the pillar that is emphasized most after the two sentences of the shahada. Prayer is the connection between a servant and his Lord. Prayers are of two types, namely prayers of worship and prayers of supplication. Allah's closeness to His servants is divided into two types, namely; the closeness of His knowledge to every creature and the closeness to His servants in giving them every request, help and taufik. Learning prayer movements and prayers should be taught from an early age (children). Guidance from parents and teachers is the most important way to provide learning media. So far, conventional learning in the form of books makes children bored, so creativity or interactive learning methods are needed, one of which is multimedia-based learning.
Implementasi Metode K-Nearest Neighbor Untuk Klasifikasi Penyakit Tanaman Mentimun Pada Citra Daun Ratna Indah Juwita Harahap; Sumi Khairani; Rismayanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.123

Abstract

Cucumber is a vegetable that is widely consumed by Indonesian people. However, cucumber plants are susceptible to disease attack which causes substantial yield loss. Examples of disease in cucumber plants are downy mildew, powdery mildew, and cucumber mozaic virus. This disease can be recognized visually because it has a characteristic color and texture. Through an image, information can be learned about the cucumber plant disease. This study aims to build a disease classification system on cucumber leaf images so that it can provide information on the type of disease. The application of the system consisting of pre-processing, feature extraction, classification, and evaluation stages. The pre-processing stages resizes the RGB image and then converts it to Grayscale. The feature extraction stage uses the GLCM (Gray Level Co-Occurence) method. The classification stage uses the K-NN (K-Nearest Neighbor) algorithm. Evaluation stage is a confusion matrix. The results of the cucumber leaf disease classification test used the K-Nearest Neighbor algorithm, produced the best accuracy value by using the neighborhood value k=1 reaching 90%.
Sistem Deteksi Jenis Kendaraan Metode YOLOv4 Untuk Mendukung Transportasi Cerdas Kota Medan Pramana Putra, M Rizky; Haida Dafitri; Sumi Khairani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.125

Abstract

This research discusses the evaluation and implementation of the YOLOv4 model in detecting and tracking vehicle types in the context of road traffic. To address the research questions, the study examined the model's performance across various aspects. The results indicate that the YOLOv4 model achieved a Mean Average Precision (mAP) of 77.88% on the training dataset after 7000 iterations. The model exhibits a commendable ability to detect different vehicle types within images, with varying accuracy rates across distinct classes. The developed application within this study can record detection data for every frame within a video sequence, providing crucial information for analyzing vehicle density on roads. Despite its relatively high accuracy level, errors persist in object detection and labeling. In conclusion, this research offers insights into the capabilities and potential of the YOLOv4 model in addressing challenges related to vehicle detection in road traffic, while also identifying areas that warrant further improvement.
leman, D Deteksi Penyakit Pada Daun Pisang dengan Penggunakan Algoritma Local Binary Pattern Dan K-Nearest Neighbor Dedi Leman; Obedh Eliezer Sidauruk
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.134

Abstract

Bananas are a type of fruit that has high production and is liked by many people. Mango productivity fluctuates from year to year. This is due to fluctuations in harvest area, plants that have not produced optimally, climate disturbances and attacks by various pests and diseases which are factors inhibiting banana growth and production in Indonesia. This identification will take a relatively long time and produce various diseases on banana leaves because humans have visual limitations in identifying, the level of fatigue and differences in opinion about diseases on banana leaves. The process of recognizing leaf patterns can be done by recognizing the characteristics of leaf structures such as leaf shape and texture. The method used in this research is Local Binary Pattern, an algorithm that can be used to classify based on images. In this study, 4 types of banana leaf diseases were used. Based on the results of the accuracy test, an accuracy value of 90.5% was obtained for the disease detection process on banana leaves for 10 pieces of data.

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