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 1,127 Documents
 76   77   78   79   80 
Oven Listrik Keripik Buah Berbasis Arduino dengan Menggunakan Metode Fuzzy Logic dan Sensor DHT22 Achmad Ridwan
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4382

Abstract

Small-scale fruit chip production faces challenges in maintaining optimal temperature and humidity during the drying process. This research develops the Endull Kripps electric oven using Arduino-based fuzzy control technology and DHT22 sensors to address these issues. The aim is to design an efficient oven system that produces high-quality chips. The Research and Development method was applied in system design and testing. Results show up to 95% increase in energy efficiency compared to conventional methods. The chips produced have 1.5% lower moisture content, crispier texture, and higher organoleptic scores. The system maintains temperature stability with high accuracy, demonstrating significant potential in optimizing food drying processes. This innovation supports the Merdeka Belajar Kampus Merdeka program by providing a platform for students to develop entrepreneurial skills in the context of the food industry.
The Impact of AI on Secure Cloud Computing: Opportunities and Challenges Jones, Rebet
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4383

Abstract

This paper explores the intersection of Artificial Intelligence (AI) and cloud computing, focusing on the security implications. As cloud computing becomes increasingly ubiquitous, the integration of AI presents both opportunities and challenges. This paper provides an in-depth analysis of how AI can enhance cloud security, the potential risks associated with AI deployment in the cloud, and the future landscape of AI-driven cloud security. Key topics include AI's role in threat detection, data protection, access management, and the challenges related to AI bias, interpretability, and adversarial attacks.
Implementasi Game Hangman Multiplayer Menggunakan Socket dan Multithreading Berbasis Protokol TCP Marieska, Mastura Diana
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4384

Abstract

Multiplayer games tend to be more engaging and can offer a more enjoyable experience compared to single-player games. Hangman, a word-guessing game, is commonly played in groups. When players are in different locations, a reliable connection mechanism is crucial to maintain uninterrupted gameplay. In this study, the Hangman game was implemented using socket programming and multithreading. Sockets were used as the connection mechanism between the players and the server. TCP protocol, which is reliable, was used in this implementation to maintain integrity of communication between clients and server. To allow multi players to participate simultaneously, multithreading was implemented. On the server side, each connected client was assigned a dedicated thread, allowing independent and parellel communication between server and each client. Blackbox testing result indicate that all features of the Hangman game were succesfully implemented and functioned properly.
Dampak Ukuran Sensor Kamera Dijital Dalam Kemampuan Untuk Mendeteksi Pergeseran Deformasi Struktur Tjahjadi, Martinus Edwin
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4385

Abstract

Digital camera sensors such as CCD (Charge Coupled Device) or CMOS (Complementary Metal Oxide Semiconductor) are semiconductor devices for converting a captured light passing through the lens into digital photos. Their size and dimension are varyied among camera’s brands and types available on the market. This article reviews whether their size differences could affect on the camera's ability to detect the smallest possible shifts in structural deformation. Two different types of sensor sizes, namely full frame type and APSC (Advanced Photo System type C) from two different camera brands are evaluated on the sensor's ability to detect deformation. Close range photogrammetry (CRP) technique is used to observe on bridge pillar structures that were suspected of experiencing vertical movement. results show that sensor differences affect the camera's ability to distinguish smallest possible deformation. The larger the camera sensor size, the more detailed the deformation or structural shift that can be discerned.
Analisis Sentimen Terhadap Presiden Terpilih Dimedia Sosial Twitter (X) Menggunakan Algoritma Support Vector Machine Ono, Jumaita; Anshori , Yusuf; Yudhaswana Joefrie , Yuri; Yazdi Pusadan, Mohammad; Syahrullah
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4388

Abstract

The current elected presidents of Indonesia are Prabowo and Gibran, with several work programs and visions and missions that are still being discussed on various social media, especially on Twitter. Based on the problems in this research, the Support Vector Machine method was applied with the dataset used amounting to 2000 data obtained from Twitter social media using scraping techniques, and divided into five scenarios, namely positive, very positive, neutral, negative and very negative. Data were tested from 100 datasets, 500 datasets, 1000 datasets, 1500 datasets, and 2000 datasets. The accuracy results obtained from 100 data were 0.40% accuracy, 0.08% precision, and 0.20% recall. The second test used 500 data with an accuracy of 0.67%, precision of 0.33% and recall of 0.24%. The third test used 1000 data with an accuracy of 0.73%, precision of 0.52% and recall of 0.29%. The fourth test used 1500 data with an accuracy of 0.74%, precision of 0.41% and recall of 0.29%. The fifth test with the highest level of accuracy uses 2000 data, with an accuracy of 0.75%, precision of 0.47%, and recall of 0.30%
Audit Keamanan Jaringan Komputer Server dari Serangan DDoS Menggunakan Snort Intrusion Detection System M.Iqbal, M.Iqbal; Yuhandri Yunus; Syafri Arlis
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4391

Abstract

Network security is a crucial aspect for educational institutions that rely on information technology for operational activities, including teaching and learning processes. SMKS YPPI Tualang, a private school in Riau that is part of PT Indah Kiat Pulp and Paper Tbk's CSR program, faces serious threats from Distributed Denial of Service (DDoS) attacks, which can cause significant disruptions to network services. DDoS attacks involve multiple computer systems overwhelming a server with excessive traffic, leading to service disruptions. This study aims to enhance network security at SMKS YPPI Tualang through a comprehensive security audit and the implementation of Snort, an Intrusion Detection System (IDS) effective in detecting and preventing DDoS attacks. By analyzing potential security gaps and vulnerabilities, this study is expected to contribute to mitigating the risk of DDoS attacks, thereby ensuring the continuity of the school's operations. The results of this study indicate that the implementation of Snort can improve early threat detection and strengthen the school's network security.
Classifying Digital Medical Images for Breast Cancer Prediction Using Machine Learning I. Mohammed, Hind; Abdulkareem, Sabah A.; Ahmed, Shaimaa Khamees
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4392

Abstract

Statistics show that among the 1.67 million cancer reported cases worldwide, breast cancer is the most common cancer among women and constitutes the largest burden of the disease in developing countries. However, if detected early enough, it can be managed. Mammography is one of the best ways to identify and diagnose breast abnormalities among various medical imaging modalities. It typically detects signs and symptoms of breast cancer, including microcalcifications, lumps, nodules, architectural abnormalities, asymmetry, bilateral asymmetry, etc. These features can be benign or cancerous when they appear in the breast. Researchers have focused on creating fully automated computer-aided design methods to help radiologists combat this type of cancer. Artificial Intelligence( AI) -based algorithms have been essential in creating systems that allow for automated diagnosis, rapid response, and low mortality. In this work, several machine learning methods were compared—such as logistic regression, naive Bayesian Gaussian algorithms, support vector machines (SVM), linear support vector machines (SVM), and artificial neural networks (ANN). Processing time and accuracy were the main evaluation metrics where naive Bayes outperformed SVM, followed by linear SVM and logistic regression, with ANNs failing in accuracy. These results highlight how naive Bayes algorithms can help in early detection of breast cancer, leading to faster and more efficient treatments and ultimately better patient care.
Sistem Kontrol Elektronik pada Rumah Pintar Dengan Input Suara pada Module Pengenalan Suara V3 Berbasis IoT Feriman; Banu Santoso
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4398

Abstract

This research aims to develop and implement an electronic control system for a smart home based on IoT, utilizing the Voice Recognition Module v3. The system is designed to allow users to operate electronic devices at home through voice commands recognized by the module, which are then transmitted to the Arduino to turn connected devices on or off. Additionally, the system is integrated with the Telegram application, enabling remote control of devices. Testing results indicate that the system is highly effective in recognizing voice commands, with a high success rate, and functions optimally through both voice input and the Telegram application. Therefore, this system offers an efficient solution for managing smart homes, particularly in enhancing the convenience and efficiency of daily electronic device usage.
Confident Learning pada IndoBERT: Peningkatan Kinerja Klasifikasi Sentimen Akhdaan, Daffa Al; Taufik Edy Sutanto; Muhaza Liebenlito
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4401

Abstract

In the rapidly evolving field of artificial intelligence (AI), label uncertainty in datasets has become a significant challenge threatening the sustainability of AI. This study investigates the enhancement of IndoBERT's performance in Indonesian sentiment analysis by integrating the Confident Learning (CL) method. IndoBERT, an adaptation of BERT for Indonesian, shows strong performance but is affected by label uncertainty. CL is applied to correct mislabeled data and improve model accuracy. The results indicate that IndoBERT + CL achieves an accuracy improvement from 85.15% to 86.03%, with enhancements in precision, recall, and F1 score to 87.93%, 85.00%, and 86.44%, respectively. The confusion matrix results also show that IndoBERT + CL is more accurate in identifying positive labels. This research highlights the importance of applying CL to enhance label quality and model performance in NLP sentiment analysis.
Optimizing Swarm UAV Scheduling for Efficiency in Complex Operations and Collision Avoidance: Optimized Scheduling Strategies for Swarm UAVs in High-Density Airspace Raharja, Annisa Amalia
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4402

Abstract

The use of drones or Unmanned Aerial Vehicle (UAVs) has rapidly evolved across various civil, public, and military applications over the past two decades. Military UAVs have long been used for border surveillance, while civilian UAVs can monitor traffic, provide disaster alerts, and deliver medical supplies. Swarm UAVs, inspired by natural animal colonies such as birds and bees, enable complex flight coordination in disaster situations. To optimize operations, the implementation of scheduling methods for swarm drones is crucial. This method involves scheduling flights based on mission priorities, estimated time of arrival, and drone battery conditions. Effective scheduling ensures operational efficiency and flight safety of drones.

Page 78 of 113 | Total Record : 1127

 76   77   78   79   80 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue 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 (IJCS) Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS) 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