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Journal of Applied Computer Science and Technology (JACOST)
Published by Indonesian Society of Applied Science
ISSN : -     EISSN : 27231453     DOI : https://doi.org/10.52158/jacost
Core Subject : Science,
Computer Science & IT
Fokus dan Ruang Lingkup Journal of Applied Computer Science and Technology (JACOST) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian bidang ilmu komputer dan teknologi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Ilmu Komputer dan Teknologi. Journal of Applied Computer Science and Technology (JACOST) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Vol 5 No 1 (2024): Juni 2024" : 15 Documents clear
Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier Steven Joses; Yulvida, Donata; Rochimah, Siti
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.741

Abstract

Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period in the atmosphere, such as pressure, wind speed, rainfall, temperature, and other atmospheric phenomena. Issues in weather forecasting arise due to several factors, namely the fluctuating atmospheric conditions. This research proposes the development of a weather forecasting model using the ensemble learning method approach. The weather data used consist of 33746 records with attributes used after preprocessing, namely Temperature, Dew Point, Humidity, Wind Speed, Wind Gust, Pressure, Precipitation, and Condition. Testing in this research employs several single-machine learning methods such as K-Nearest Neighbor (KNN), Logistic Regression, Random Forest, Naive Bayes, and Multi-Layer Perceptron. The Naive Bayes method using default parameters achieves a high accuracy of 99.00%. In the ensemble method, combinations of three methods exhibit excellent accuracy for all combinations. The best combination methods are found in the Soft Voting Classifier method (Random Forest, MLP, Naive Bayes), Soft Voting Classifier (Logistic Regression, MLP, Naive Bayes), and Soft Voting Classifier (Random Forest, KNN, Naive Bayes) with an accuracy of 99.03%.
Identifikasi Tujuan Tata Kelola Teknologi Informasi PLT FST UIN Jakarta Menggunakan Framework COBIT 2019 Aeni Hidayah, Nur; Nurbojatmiko; Ade Arfani, Mizan; Yuliwanda Anggi Kusumaatuti
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.770

Abstract

Information technology (IT) has an important role in increasing efficiency and providing benefits to decision making in various sectors. IT governance is important for organizational sustainability and performance. This research focuses on the Integrated Laboratory Center (PLT) FST UIN Jakarta which still depends on external parties for IT governance, creating potential risks and uncertainty in its operations. Therefore, this research aims to analyze the implementation of COBIT 2019 as a guide in identifying IT governance objectives that suit the needs of PLT FST UIN Jakarta. The research method used in this research involves the COBIT 2019 theoretical approach, with a focus on the goal cascade concept. This approach enables a systematic translation process of stakeholders' needs for IT systems into more specific goals and appropriate strategic steps. The results show eight COBIT 2019 domains that are relevant to IT governance objectives in PLT, which include APO02 (Managed strategy), APO08 (Managed relationships), APO10 (Managed vendors), APO11 (Managed quality), BAI04 (Managed availability and capacity), DSS01 (Managed operations), DSS03 (Managed problems(, and MEA02 (Managed system of internal control) The recommendations resulting from this research are designed to improve the performance and maturity of IT processes at PLT FST UIN Jakarta in accordance with the IT governance objectives that have been identified. This is expected to provide a stronger foundation for managing and optimizing the use of IT to support operations and achieve organizational goals more effectively.
Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah; Wijaya, Ardi; Pahrizal; Rozali Toyib; Arif Setiawan
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.790

Abstract

This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method. The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%.
Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil Purnama, Jajang Jaya; Nina Kurnia Hikmawati; Sri Rahayu
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.809

Abstract

The health of pregnant women has an important aspect in efforts to achieve the birth of a healthy baby. So early detection of the health of pregnant women has important. In this study the author identified potential maternal health risks for pregnant women by classifying them used machine learning which aims to analyze maternal health datasets with several algorithms including Random Forest, Extra Trees, Extreme Gradient Boosting, Decision Tree, and Light Gradient Boosting Machine. From several classification results carried out analysis and evaluation shown that the Random Forest classification algorithm provided optimal performance with an accuracy of 82,15%. These findings confirmed that the model created could identify complex patterns and relationships between features relevant to the classification of potential health risks for pregnant women at high, medium and low levels. These results have important implications in maternal care, because they cann help doctors and medical personnel make more appropriate and effective decisions in dealing with maternal health risks and provide insight into pregnant women from an early age regarding their health conditions.
Implementasi Re-design Application Mobile MRT Jakarta Menggunakan Metode User Centered Design Rahma Fahriyah, Diana; Ikasari, Diana; Widiastuti
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.812

Abstract

MRT Mobile Application is used to access information easily and quickly for MRT users, such as schedule information, routes, stations, fares, and other additional services. Based on observations and questionnaires regarding the MRT mobile application, users often experience difficulties or obstacles in interacting with the application interface. Starting with a complex interface, confusing navigation of features to difficulty finding the information you need quickly. This affects the use of the application and reduces the level of user satisfaction. Based on these conditions, it is necessary to redesign the user interface of this application to make it easier to use. This research uses User Centered Design (UCD) method with four phases, which is Understand Context of Use, Specify User Requirements, Design Solution, and Evaluation Against Requirements in analyzing the UI/UX design process of the MRT mobile application. In the design stage, UCD principles are used to integrate insights from user data into UI/UX design process based on results of questionnaire analysis. The final result of this research is a prototype design and user interface design for the MRT mobile application that meets the expectations of application users.

Page 2 of 2 | Total Record : 15

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