cover
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
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.
Articles 1,127 Documents
Perancangan Sistem Informasi Monitoring Perkembangan Anak Usia Dini Berbasis Web Pada Yayasan Harapan Ibu RA. Insan Harapan Putria, Narti Eka; Hakim, Arif Rahman; Yulia, Yulia
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.v13i6.4403

Abstract

Early childhood education foundation Yayasan Harapan Ibu RA. Insan Harapan was established in 2016. Yayasan Harapan Ibu RA. Insan Harapan still utilizes information technology to support various activities including having a WhatsApp group. Most schools still do manual monitoring, the form of reporting using supporting books. Manual recording of reports can also cause human error or errors caused by humans such as errors in filling in data or losing data files so that monitoring between guardians and homeroom teachers is not in harmony. The purpose of this study is to design a web-based early childhood development monitoring information system, to make it easier for guardians and teachers to have harmony in monitoring child development and to facilitate school academic activities. The method used is the SDLC (System Development Life Cycle) method, PHP is used to develop the website, and MySQL as a database server. The design of a web-based student monitoring information system helps schools provide information on academic activities of child development to parents/guardians online, and makes it easier for schools to input student data, teacher data, grade data, class data, report creation, data updates, new student registration, and promotions.
Pemanfaatan TOPSIS (Technique For Order Preference By Similarity To Ideal Solutions) untuk Rekomendasi Objek Wisata di Provinsi Sulawesi Tengah Ulhak, Muhamad Zia; Pratama, Septiano Anggun; Ardiansyah, Rizka; Angreni, Dwi Shinta
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.v13i5.4404

Abstract

Tourism is one of the key sectors in driving economic growth in Central Sulawesi. To support the enhancement of tourism, this research developed a web-based decision support system using the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) to provide tourism destination recommendations. The system assists users in selecting tourist destinations based on several relevant criteria, such as facilities, accessibility, cost, cleanliness, and safety. By applying the TOPSIS method, the system can rank tourism destinations by comparing the distances between positive and negative ideal solutions. This implementation is expected to help tourists make more informed and accurate decisions regarding the destinations they wish to visit and contribute positively to the development of tourism in Central Sulawesi.
Artikel Analisis Sentimen terhadap Resolusi Genjatan Senjata PBB 2023: Studi pada 10 Negara Penolak Resolusi Konflik Israel-Palestina Qofifa, Sitti Nurlaili; Ardiansyah, Rizka; Joefrie, Yuri Yudhaswana; Wirdayanti; Lapatta, Nouval Trezandy
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.v13i5.4405

Abstract

The Israeli-Palestinian conflict is the longest conflict that still has not found a bright spot. In December 2023 the UN again gave the latest resolution with the title “Armistice” this resolution received pros and cons from UN member states. The number of pro countries is 150 countries, contra as many as 10 countries and 23 countries abstain. This study aims to investigate whether the 10 countries that voted against the UN resolution represent the interests of their people or only represent the interests of their country. This research approach uses sentiment analysis on platform X with the Support Vector Machine method. Data was taken from March 2024 to the latest data, 137,447 data were obtained with 5 countries using non-English languages and 4 countries using English. Each data from these countries was successfully classified into positive and negative classes. The survey was conducted on 9 countries with an average positive sentiment of 34.82% and an average negative sentiment of 77.41%. The results of this research show that the decisions made by the 10 countries that rejected the resolution represent the voice of their people.
Indoor Air Quality System: A Design of Monitoring CO and CO2 Substances for Elderly Home Using IoT Fachri Nurmay Rohmah Dinnul Haq; Kurniawan Dwi Irianto
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.v13i5.4408

Abstract

The use of an IoT-based monitoring system for CO and CO2 gases in elderly homes is a necessary innovation for remotely monitoring air quality. This work was successful in establishing a remote monitoring system that can measure CO and CO2 gases utilizing IoT technology combined with Blynk software. The MQ-7 sensors detect CO gas, while the MQ-135 sensors detect CO2. Data from these sensors is delivered to a central server, which then sends it to the I2C 16X2 LCD panel and Blynk software, allowing data visualization via an internet connection. The study's findings indicate that this system can detect and monitor CO and CO2 gas levels with a high degree of precision. This device can also monitor air quality in real time using the Blynk software. As a result, users may accurately monitor air quality (CO and CO2 gases) in elderly homes.
Transformation of Business Licensing through a Single Submission System on Public Service Efficiency: A Case Study of the Indonesia National Single Window Agency (LNSW) Rizha Febriyanti; Ranti, Benny; Shihab, Muhammad Rifki; Wicaksana, I Gusti Ngurah Adi; Mekkawati, Handini; Salbari, Faris; Diarto, Nur
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.v13i5.4411

Abstract

The Indonesia National Single Window (LNSW) Agency developed a single submission system, namely the Indonesia National Single Window (SINSW) System, as a one-stop submission facility. Before the development of SINSW, the process of applying for business permits in Indonesia was complicated and time-consuming. This is because stakeholders have to process permits directly with various relevant ministries or institutions, causing data repetition and cost and time inefficiencies in the export, import and logistics processes. This research aims to analyze the transformation of LNSW into a one-stop business licensing and management agency through the implementation of SINSW and its impact on the efficiency of public services in exports, imports and logistics in Indonesia. This research also compares the implementation of the National Single Window (NSW) in Korea, Singapore, and Japan. The results of the research are recommendations for improving the efficiency of LNSW services in the future through the adoption of artificial intelligence (AI) via chatbots to handle complaints of slow responses for service users.
Welding Quality Control Using Seven Tools Method AT PT. XYZ Hamzah, Mohammad; Donoriyanto , Dwi Sukma
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.v13i5.4412

Abstract

PT. XYZ is the largest shipyard company in Indonesia. In the ship production process, PT. XYZ Indonesia strives to provide the best for consumers, especially in terms of the quality of making the KCR-301 ship, where during the welding process there are still several defects such as Incomplete Penetration, Incomplete Fusion, Slag Inclusion and Porosity. The purpose of this study was to determine the percentage of the most dominant defects in welding and provide recommendations for improving the quality of welding on the KCR-301 ship using the seven tools method. Based on the results of the study, it was found that the most dominant defect in welding quality was Incomplete Penetration of 800 mm (2.93%), then followed by Incomplete Fusion defects of 630 mm (2.31%), Slag Inclusion defects of 595 mm (2.18%), and Porosity defects of 460 mm or (1.69%). The proposed improvements to the most dominant ones with the proposed recommendations for improvement are to emphasize to the welder to be required to better understand the procedures and SOPs that will be used to weld properly.
IT Team Project Management Transformation Plan for TIC Company’s IT Division Fauzan Aldiansyah; Raharjo, Teguh; Fitriani, Anita Nur
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.v13i5.4413

Abstract

Nowadays, organizations are increasingly reliant on information technology to maintain efficient and effective internal systems, stay competitive, and meet the evolving needs of their customers. However, organizations facing challenges often include delays in project delivery, difficulties in managing workflows, and issues with accurately tracking progress and performance. The Information Technology Division of one of the testing, inspection, and certification companies in Indonesia is responsible for application development but frequently encounters operational issues such as development delays, unaddressed requests, difficulties in tracking project timelines and completions, and unclear job description alignments. This study examines Waterfall, Kanban, and Scrum Agile methodologies through case studies and Design Science Research Methodology to address these issues. Scrum Agile, with its principles and practices, is selected as the preferred solution for resolving these recurring problems. The research proposes transitioning project management to Scrum Agile methods and demonstrates how these methods effectively address several existing challenges. This approach results in the development of a new system that implements Scrum Agile for project management within the department. This research can enhance the efficiency and effectiveness of application development and improve project visibility and control for the organization. Additionally, it provides learning through comparative analysis to identify appropriate new methods and systems based on the case study.
Analyzing Torsion Functions under Robin and Dirichlet Boundary Conditions: Applications and Insights Hasan, Rizgar Issa
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.v13i5.4414

Abstract

In this paper, the author introduces the mathematical concepts regarding torsion functions and their derivations under the Robin and Dirichlet boundary conditions which are integral in mechanical engineering, theoretical physics, and other disciplines. Functions that satisfy given or required partial differential equations contain a wealth of information about materials or structures when subjected to stress. We examine these functions under two types of boundary conditions: Robin, which contains Dirichlet and Neumann conditions, Dirichlet that provides conditions on the boundary. Also, in this section, we formally describe the mathematical model used in the study and provide some definitions, notations, and basic propositions that form the foundation for subsequent analysis. In answer to such concerns, the torsion function problems solved herein utilize analytical and numerical computations to reveal the differences and similarities in behavior between the two boundary conditions. Strong empirical evidence further supports our findings, proving the real-life relevance of the revealed theoretical concepts. Lastly, the implications for these findings in the real-world application are also presented and analysed with regards to advantages and disadvantages of various boundary conditions in the engineering of systems. We end this paper with a presentation of the general implications of the results attained from the work done and possible expansions and directions for future studies as a way of continuing the discourse on the theoretical analysis and actual applications. In summary, this paper provides a useful perspective in the analysis of torsion functions solution under mixed boundary conditions which will be of interest for further development of the theory and application into practice.
Analisis Robustness dan Resilience Enterprise Network dengan Edge Sensors Aulia Rahman Hakim; Setiawan, Mukhammad Andri
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.v13i5.4415

Abstract

The robustness and resilience of enterprise networks are critical in ensuring consistent performance, even in the face of unexpected disruptions. This study addresses the significant challenges faced in maintaining network stability by introducing edge sensors using Raspberry Pi 4, Prometheus, and Grafana. The primary objective is to assess the impact of edge sensors on enhancing the robustness and resilience of campus wireless networks, with a particular focus on Universitas Islam Indonesia. The system effectively monitors critical metrics such as packet loss and ping in real-time, enabling early detection and alerts for declining network performance. The findings highlight that this approach significantly improves network stability, providing a cost-effective and scalable solution for continual network management. Furthermore, the study recommends the integration of machine learning algorithms to enhance anomaly detection accuracy.
Fault Tolerance Management Implementation from Medium-to-Large-Scale Networks Mbodila, Munienge; Esan, Omobayo Ayokunle; Elegbeleye, Femi
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.v13i6.4417

Abstract

As network infrastructures grow in complexity, ensuring high availability and resilience becomes critical, especially for medium-to-large scale networks. This study focuses on the development and implementation of fault tolerance management within Software-defined networking (SDN) environments, aimed at minimizing downtime and enhancing network reliability. SDN’s centralized control and dynamic programmability provide an ideal framework for implementing efficient fault detection and recovery mechanisms. The proposed model leverages real-time monitoring, redundancy protocols, and adaptive rerouting strategies to mitigate the impact of node or link failures. Key components of the model include failover mechanisms, load balancing, and traffic rerouting algorithms, designed to maintain seamless network operations during failures. Through simulation and testing, the model demonstrates significant improvements in network resilience, reducing recovery time and ensuring uninterrupted service delivery. This research provides a comprehensive guide to implementing fault-tolerant networks using SDN, offering scalable solutions that can be adapted to various network sizes and configurations. The findings emphasize the potential of SDN to revolutionize fault management in modern network infrastructures, making it a crucial consideration for future network design and operations.    

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