cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tri A. Sundara
Contact Email
tri.sundara@stmikindonesia.ac.id
Phone
+628116606456
Journal Mail Official
ijcs@stmikindonesia.ac.id
Editorial Address
Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,170 Documents
 52   53   54   55   56 
Feature Selection using Extra Trees for Breast Cancer Prediction Awadelkarim, Shahad
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3874

Abstract

Breast cancer is a disease that seriously threatens women's health. It is considering a common death cause in women. Machine learning has made significant progress in recent years to improve the effectiveness of early diagnosis of various diseases. Accurate predication and detection help decrease the death rate of breast cancer. This paper aims to predict breast cancer using several machine-learning techniques. The idea is to lower the number of features in the Wisconsin Breast Cancer Dataset (WCDB) and use it for prediction. The study used the extra trees method for feature selection and Random forest, Logistic regression, and Support Vector Machine (SVM) for testing the dataset. According to the results, SVM achieved the best performance among the other models with 98% accuracy. The proposed method in this study proved its effectiveness in breast cancer prediction.
Analisis Sentimen Komentar Childfree di Aplikasi X Menggunakan Naïve Bayes Hendro Margono; Fenny Nur Aprillia
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3883

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen komentar mengenai gaya hidup childfree di platform media sosial X menggunakan metode Naïve Bayes. Gaya hidup childfree menjadi perbincangan yang semakin populer setelah Gita Savitri Devi mengungkapkan pilihannya untuk tidak memiliki anak. Kontroversi muncul di media sosial seputar hak seseorang untuk memilih gaya hidup childfree, dengan berbagai alasan seperti kekhawatiran terhadap masa depan anak, masalah lingkungan, ekonomi, dan faktor personal. Metode Naïve Bayes digunakan dalam penelitian ini karena kemampuannya dalam klasifikasi teks dan analisis sentimen. Hasil penelitian menunjukkan akurasi model sebesar 66,20%, meskipun tergolong rendah, penelitian ini memberikan wawasan baru tentang pandangan masyarakat terhadap gaya hidup childfree. Diharapkan hasil penelitian ini dapat meningkatkan pemahaman kita tentang fenomena childfree dan memberikan kontribusi terhadap pengembangan metode analisis sentimen di masa depan.
Predictive Analytics for Water Safety: Data Mining and Supervised Learning in Potability Classification Nanda Aulia Sofiah; Fanny Olivia; Jambak, Muhammad Ihsan
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.3884

Abstract

Water is crucial for survival, especially for consumption, yet its quality is under threat due to human-caused pollution. Contaminated water poses serious health risks, including the transfer of diseases transmitted by water. Therefore, assessing water quality is critical for ensuring its safety for consumption. Data mining and supervised machine learning algorithms can help classify water potability, revealing hidden patterns and correlations between water parameters. This study evaluates the effectiveness of K-Nearest Neighbors (KNN), Naïve Bayes, Support Vector Machine (SVM), and Neural Network methods in categorizing a water quality dataset. The evaluation is aimed at selecting the most accurate procedure, as indicated by the highest accuracy rate. Results show that Neural Network exceeds KNN (81%), Naïve Bayes (63%), and SVM (73%), with a 85% accuracy rate. Keywords : Classification, Data Mining, Supervised Machine Learning, Water Potability
Optimal Sizing and Comparative Analysis of Renewable Energy Integration for the Existing Microgrid System in Kadan Island Htun, Khin Thandar; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3885

Abstract

The rapid depletion of fossil fuels and the necessity for reduced carbon emissions have led to an increased focus on renewable energy resources. The existing microgrid system comprises solely a diesel generator and a small portion of hydropower. Currently, Kadan Island relies mainly on diesel generators to supply power, resulting in a significantly higher cost of energy in comparison to other areas. Furthermore, there is still not enough electricity available on the entire island of Kadan. However, research has shown that integrating renewable-based systems with storage technologies into existing systems can help mitigate these issues. Therefore, the main objective of this paper is to investigate the optimal size and operation of a hybrid renewable system on the Myanmar Islands. The optimization process will focus on minimizing the net present cost (NPC) and cost of energy (COE) of the selected location. Additionally, the island's network will be analyzed under normal operating conditions with different scenarios, and the best scenario for the existing microgrid on Kadan Island will be recommended.
A Review on Diabetes Classification Based on Machine Learning Algorithms Musa, Jihan; Abdulazeez, Adnan Mohsin
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3886

Abstract

Diabetes, a chronic metabolic disorder, is a significant global health concern affecting millions of individuals worldwide. Early and accurate diagnosis of diabetes is crucial for effective management and prevention of complications. Machine learning (ML) techniques have emerged as powerful tools for analyzing diabetes-related data, aiding in the classification and prediction of diabetes types. This review provides a comprehensive overview of recent advancements in diabetes classification using ML algorithms, highlighting their strengths, limitations, and future directions. Various ML algorithms, including but not limited to support vector machines, decision trees, random forests, artificial neural networks, and ensemble methods, are discussed in details. Furthermore, data preprocessing techniques, feature selection methods, and evaluation metrics employed in diabetes classification studies are examined. Additionally, challenges such as data imbalance, interpretability, and generalization across diverse populations are addressed. Finally, potential avenues for future research to enhance the accuracy and applicability of ML-based diabetes classification systems are proposed.
A: Sistem Pakar Mendeteksi Kerusakan Mesin Penggiling Jagung Menggunakan Metode Certainty Factor Pada CV. Central Jagung Persada Munawarah, Nadila; Ikhwan, Ali
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3888

Abstract

A corn grinding machine is a combustion engine that is used to drive a propeller which functions to knock out corn kernels from the cob, so that the release of corn kernels from the cob is very fast and time efficient. This really helps corn farmers and also corn refinery owners to speed up the process to the processing factory. However, in the process of threshing corn from the cobs, the machine often experiences damage, so it is necessary to detect damage to the corn grinding machine with an expert system using the Certainty Factor method in order to help farmers quickly understand what damage is occurring to the machine without having to bring the machine or call someone. machine repair expert, where the system created can also provide solutions related to machine damage. Corn grinding machines that experience fan damage with damage code P01 have a certainty level of damage of 67.2% or Certainty Factor=0.672.
STUDI PEMETAAN SPEKTRUM KEAHLIAN LULUSAN PROGRAM STUDI PENDIDIKAN TEKNIK ELEKTRO UNIVERSITAS NEGERI PADANG Siregar, Winda Lestari; Yudhi Diputra; Jalius, Nizwardi Jalinus; Ridwan; Rijal Abdullah; Nurhasan Syah
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3891

Abstract

Upon graduation, the aim of education graduates is to become qualified educators capable of meeting the needs of education, society, and industry. Graduates of the Electrical Engineering Education Study Programme are expected to possess superior competence and provide solutions to societal problems. The research conducted is descriptive in nature, utilising a qualitative approach. The study was carried out at the Faculty of Engineering, State University of Padang. The research instrument comprised documents such as course outlines, course synopses, and syllabi in Electrical Engineering Education at Padang State University. Data was collected through interviews and documentation. The study aimed to create a mapping of Electrical Engineering Education courses at Padang State University. The UNP Electrical Engineering Education program requires students to complete a set number of courses each semester. In semester 1, students must complete 22 SKS; in semester 2, 22 SKS; in semester 3, 22 SKS; in semester 4, 19 SKS; in semester 5, 22 SKS; in semester 6, 20 SKS; in semester 7, 8 SKS; and in semester 8, 10 SKS of final courses. The requirement for Semester Credit Units for Electrical Engineering Education students at Padang State University is 145 credits.
Aplikasi POS Berbasis Web Terintegrasi Dengan Whatsapp Pada Fuku Petshop Hanggaraxsha, Irwan; Gunawan, Dedi
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3893

Abstract

The Point Of Sale (POS) application is a service created to simplify the business activity process for entrepreneurs. Every transaction, whether sales or purchases, is important to record to ensure the accuracy of transaction reports. However, at Fuku Petshop, the recording method still uses conventional transaction books, which are prone to data loss and inaccuracies. Fuku Petshop, a shop located in Madiun, felt the need to adopt a computerized POS system to monitor sales, purchase and stock transactions more efficiently. Apart from that, integration with the WhatsApp application is also part of the goal of this system. In developing the POS system, utilizing the PHP programming language and MySQL database, using the CodeIgniter framework. The development approach adopted is the waterfall method. To ensure the quality of the system being developed, testing is carried out using black box techniques and also using the System Usability Scale (SUS) method. The results of testing using the black box technique state that the POS application at Fuku Petshop runs well and for SUS testing the average value is 81, which indicates Excellent qualifications and is included in the Acceptable classification, indicating the system is ready for use.
Pindaho : Sistem Informasi Jasa Angkut Berbasis Web: Web-based Transportation Services Information System Hernanda, Rizka; Gunawan, Dedi
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3894

Abstract

The moving process requires thorough preparation from the place of origin to the new location, including arranging goods, finding suitable means of transportation, as well as carrying out the process of loading and unloading and rearranging goods in the new place. However, this process is often faced with various obstacles, such as difficulties in finding available transportation services and difficulties for transportation service owners in promoting their services widely. To overcome these challenges, the use of technology in the form of a web-based transportation service system has been proposed. The Movingo system applies a Software Development Cycle (SDLC) approach, mainly using the waterfall method, and will use the PHP programming language and MySQL database supported by the CodeIgniter framework. In this system, there are three types of access rights, namely admin, driver, and customer. Customers can order the transportation services they want, while drivers have the authority to approve orders and check the goods that have been delivered to customers. Payment is made in cash directly on the spot. To ensure the quality of the system being developed, testing is carried out using the black box method and also the System Usability Scale (SUS). Test results showed that the system worked well, with an average score of 79 on the SUS, indicating Good qualifications.
Design Optimization Of PV And WTE Integration In Electricity Supply System For Mandalay Urban Area Oo, Hay Man; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3895

Abstract

Hybrid energy systems, which combine two or more energy systems, arebecoming increasingly popular due to the rise in petroleum productprices, growing CO2 emission awareness, and advancements in renewableenergy technologies. These systems are being adopted to meet the energyand electricity demands of decentralized networks. In Myanmar, someareas still face significant challenges in accessing grid-based electricitysupply. In such cases, the hybrid renewable microgrid systems offer abetter alternative by reducing dependency on diesel fuel and meetingenergy demands in an environmentally friendly manner. To enhance thereliability of these hybrid systems, renewable sources can be integratedwith diesel generators and utility grid. This integration allows hybridsystems to compensate for the intermittent nature of renewable energysources and achieve higher overall energy efficiency. One of the mainadvantages of hybrid systems is their potential for energy autonomy, asthey are not reliant on a single energy source. This paper introduces anovel approach for designing a grid connected hybrid system thatincorporates photovoltaic, and biomass especially the municipal solidwaste. The Hybrid optimization model for electrical renewable (HOMER)is a powerful optimization model that simplifies the evaluation of off-gridand grid-connected power system designs for various applications. In thispaper, the grid connected hybrid renewable energy system is designedand analyze for Mandalay region.

Page 54 of 117 | Total Record : 1170

 52   53   54   55   56 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 4 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science More Issue