International Journal Software Engineering and Computer Science (IJSECS)
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
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<![CDATA[Leveraging Neural Matrix Factorization (NeuralMF) and Graph Neural Networks (GNNs) for Enhanced Personalization in E-Learning Systems ]]>
<![CDATA[Aji, Achmad Maezar Bayu]]>;
<![CDATA[Nurdiyanti, Dewi]]>;
<![CDATA[Basri, Hasan]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2238
<![CDATA[This study investigates the application of a combined approach utilizing Neural Matrix Factorization (NeuralMF++) and Graph Neural Networks (GNNs) to enhance personalization in e-learning recommendation systems. The primary objective is to address significant challenges commonly encountered in recommendation systems, such as data sparsity and the cold start problem, where new users or items need prior interaction history. NeuralMF++ leverages neural networks in matrix factorization to capture complex non-linear interactions between users and content. GNNs model intricate relationships between users and items within a graph structure. Experimental results demonstrate a substantial improvement in recommendation accuracy, measured by metrics such as Hit Ratio (HR) and Normalized Discounted Cumulative Gain (NDCG). Additionally, the proposed model exhibits greater efficiency in training time than traditional methods, achieving this without compromising recommendation quality. User feedback from several universities involved in this research indicates high satisfaction with the recommendations provided, suggesting that the model effectively adapts recommendations to align with evolving user preferences. Thus, this study asserts that integrating NeuralMF++ and GNNs presents significant potential for broad application in e-learning platforms, offering substantial benefits in personalization and system efficiency]]>
<![CDATA[Design Principles for Enhancing AI-Assisted Moderation in Hate Speech Detection on Social Media Platforms ]]>
<![CDATA[Graf, Alex]]>;
<![CDATA[Coolsaet, Danny]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2345
<![CDATA[Hate speech on social media poses a growing threat to individuals and society, necessitating technological support for moderators in detecting and addressing problematic content. This article explores the design principles essential for creating effective user interfaces (UIs) in decision support systems that employ artificial intelligence (AI) to aid human moderators. Through a comprehensive study involving 641 participants across three design cycles, we qualitatively and quantitatively evaluate various design options. Our assessment encompasses perceived ease of use, usefulness, and intention to use, while also delving into the impact of AI explainability on users' cognitive efforts, informativeness perception, mental models, and trustworthiness. Notably, software developers affirm the high reusability of the proposed design principles. The findings reveal that well-designed UIs can significantly enhance the effectiveness of AI-based moderation tools, providing clear and understandable explanations that improve user trust and engagement. By addressing both technical and user-centered aspects, this research contributes to the development of more robust and user-friendly AI systems for hate speech detection. Future work should focus on further refining these principles and exploring their applicability in diverse social media contexts to ensure comprehensive and adaptable solutions for content moderation.]]>
<![CDATA[Analysis of Networking Tools Using Cisco Packet Tracer (CPT) ]]>
<![CDATA[Thoyyibah. T]]>;
<![CDATA[Hidayat, Asep Ridwan]]>;
<![CDATA[Hanggara, Imam Satria]]>;
<![CDATA[Sudarsono, Rizki Satriawan]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2359
<![CDATA[This study aims to evaluate the performance and effectiveness of network devices using Cisco Packet Tracer (CPT) as a simulation tool. CPT is a widely utilized network simulation software, commonly employed for designing and testing network configurations prior to real-world implementation. This research investigates various network topologies to assess the performance of devices such as routers, switches, and end devices. The research methodology encompasses the design of network scenarios, device configuration, and testing of various network protocols. The analysis reveals that CPT is capable of accurately replicating most functions and behaviors of network devices, providing a clear depiction of network performance under different conditions. The findings suggest that CPT serves as an effective and efficient tool for both educational purposes and network planning, despite certain limitations in features and realism when compared to actual hardware. This study is expected to offer valuable insights for professionals and academics in understanding and optimizing network design before deployment in real-world environments.]]>
<![CDATA[Design and Development of a Web-Based Complaints Management System at Syiah Kuala University Integrated Laboratory ]]>
<![CDATA[Mutiawani, Viska]]>;
<![CDATA[Hafist, Pilar Al]]>;
<![CDATA[Dawood, Rahmad]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2398
<![CDATA[Complaint handling is essential to Syiah Kuala University’s Integrated Laboratory Technical Management Unit (ILTMU) services. However, manual complaint handling at ILTMU requires more time and energy and increases the staff workload. Complaint handling is necessary to continuously improve the performance efficiency and service quality provided by ILTMU. Therefore, to solve the problem of handling complaints manually, this research intends to design and develop a web-based complaint management system at ILTMU of Syiah Kuala University. The proposed system uses the Goal-Directed Design method, while the development process follows Scrum. The system was developed using Flask and some services from the Google Cloud Platform, namely, the Google App Engine and Google Cloud Datastore. The system is divided into four unique user groups. Each has access privileges and responsibilities: operators, Management, Follow-up, and Customers. Each of these user groups has its distinctive features. The entire features of this application were tested using both Black Box and White Box testing. All system functions were successfully executed using the Black Box testing technique. Meanwhile, the White Box testing returned a value of 100\% passed, indicating that the function being tested is error-free. A usability test was conducted with 20 respondents representing each user group using the USE Questionnaire on a 7-point Likert scale. The usability test results gave an overall average value of 6.13, which suggests that people have a positive attitude toward the system and that it is practical, easy to use, easy to learn, and satisfying.]]>
<![CDATA[Enterprise Architecture in E-Government: A Study of Integration Challenges and Strategic Opportunities ]]>
<![CDATA[Hakimi, Musawer]]>;
<![CDATA[Ghafory, Hamayoon]]>;
<![CDATA[Fazil, Abdul Wajid]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2420
<![CDATA[Incorporating Enterprise Architecture (EA) into e-government frameworks shows potential for improving digital governance but poses notable difficulties. This study examines the intricacies and potential benefits associated with the incorporation of Enterprise Architecture (EA) into e-government projects. This study aims to investigate the level of enterprise architecture (EA) integration into e-government initiatives between 2016 and 2024 and provide insights into the obstacles and strategic opportunities associated with this integration. This research seeks to offer significant insights for policymakers, practitioners, and scholars on e-government by synthesizing existing material. We employed a methodical strategy, using the PRISMA selection process to collect and qualitatively combine 30 publications carefully. These publications were selected from a diverse pool of peer-reviewed articles, conference papers, and reports to conduct a thorough analysis of the integration of enterprise architecture in e-government. The literature research identified substantial barriers that impede the effective adoption of EA in e-government, including resistance within organizations, difficulties in leadership, limitations in resources, and complexities in technology. On the other hand, the analysis revealed strategic possibilities such as enhanced compatibility, scalability, and citizen-centric services, emphasizing Enterprise Architecture's revolutionary power in reforming governance procedures. To conclude, this study highlights the significance of tackling integration obstacles and using strategic possibilities to achieve the potential of EA in e-government fully. Policymakers and practitioners can utilize the knowledge acquired from this research to develop well-informed strategies for effectively managing the challenges of integrating enterprise architecture (EA) and attaining positive outcomes in digital governance. Future research should prioritize evaluating the applicability of integration solutions in different e-government settings and investigating the lasting effects of EA-driven digital governance on the quality of services and satisfaction of citizens]]>
<![CDATA[Expert System for Diagnosing Indihome Network Connection Disorders Using Metode Backward Chaining (Case Study: Telkom Jayapura City) ]]>
<![CDATA[Abidondifu, Yonas]]>;
<![CDATA[Kiswanto, Rahmat H.]]>;
<![CDATA[Sutejo, Heru]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2519
<![CDATA[: In the rapidly advancing digital era, reliable internet connectivity has become a fundamental necessity for both individuals and organizations, facilitating various aspects of daily operations. However, technical issues in the network can lead to significant disruptions, adversely affecting productivity and user experience. PT Telkom Access (PTTA) Papua, a subsidiary responsible for managing network infrastructure, often encounters challenges in resolving customer complaints efficiently. A primary issue is the insufficient and vague information provided by customers, which hinders the diagnostic process and prolongs the resolution time. To address this problem, this study proposes the development of an expert system employing the backward chaining method. This system is designed to analyze the symptoms reported by customers and generate precise diagnostic solutions. In addition to offering accurate problem-solving capabilities, the system also aims to improve customer understanding through targeted educational tools, ensuring that essential components are readily available on-site to expedite the repair process. Comprehensive testing of the system has confirmed that all functionalities operate as expected. Consequently, this expert system is projected to significantly enhance customer satisfaction, improve the efficiency of issue resolution, and elevate the overall service quality provided by PTTA Papua.]]>
<![CDATA[Jakarta Eastplora: Website for Exploring Destinations in East Jakarta ]]>
<![CDATA[Sahara, Siti]]>;
<![CDATA[Ninvika, Dhiwa Humaira]]>;
<![CDATA[Junitasari, Yolanda]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2523
<![CDATA[Jakarta Eastplora is a digital platform developed to provide detailed information about tourist destinations in East Jakarta. This study adopts a Research and Development (R&D) approach using the ADDIE model, which consists of five key stages: Analysis, Design, Development, Implementation, and Evaluation. The primary objective of developing Jakarta Eastplora is to offer users easy and comprehensive access to destination information in East Jakarta, focusing on enhancing user experience through interactive features and intuitive design. The platform is also designed to be an effective promotional tool in supporting local tourism and economic growth. During the development process, user needs were analyzed to determine relevant features, while the evaluation stage was used to identify areas for improvement and ensure the platform's quality. The results of this study indicate that Jakarta Eastplora successfully meets users' informational needs and has significant potential in supporting destination exploration and economic development in East Jakarta. The platform can also be regularly updated to maintain its relevance and effectiveness over the long term.]]>
<![CDATA[The Application of SIMAKEL Website Technology for Offline Class Booking ]]>
<![CDATA[Sahara, Siti]]>;
<![CDATA[Aulia, Erlisa]]>;
<![CDATA[Mumtaz, Faiz Ilham]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2524
<![CDATA[Education is a critical driver for the advancement of a nation's infrastructure, particularly through the application of information technology. At Universitas Negeri Jakarta, the limited availability of classrooms, due to ongoing infrastructure development, has posed significant challenges to the management of face-to-face teaching schedules. This study aims to develop the SIMAKEL (Siap Masuk Kelas) website as an efficient solution for managing classroom reservations. The research employs a Research and Development (R&D) approach using the ADDIE model, which includes five stages: analysis, design, development, implementation, and evaluation. The findings indicate that the SIMAKEL website effectively facilitates classroom management, minimizes scheduling conflicts, and allows for real-time monitoring of room availability. The implementation of this system is expected to enhance the structure and efficiency of academic activities, providing students with streamlined access to classroom usage information. User evaluations reflect a high level of satisfaction with the website's performance, demonstrating its effectiveness in supporting academic operations.]]>
<![CDATA[Exploring the Use of ChatGPT 3.5 in the Development of Rootine Website Front End ]]>
<![CDATA[Mahardhika, Bima Julian]]>;
<![CDATA[Putri, Tiara Ariyanto]]>;
<![CDATA[Rudiansyah, Cahya]]>;
<![CDATA[Fami, Amata]]>;
<![CDATA[Barus, Irma R.G]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2536
<![CDATA[This study aims to investigate and assess the capabilities of ChatGPT. This chatbot communicates with people using artificial intelligence (AI) and can help with various activities. This study looks at how ChatGPT may help with the front-end development of the Rootine farmer helper website for Trinity Company. Through qualitative descriptive methodologies and practical investigation of ChatGPT, this study discovered that ChatGPT's response time to requests may have been enhanced. This is because the version of ChatGPT AI being used, the requirement for more user comprehension in request delivery, and restrictions on replying to requests based on the outcomes of prior answers are the causes of this. This study is anticipated to add to the most recent research on ChatGPT's capacity to assist front-end development.]]>
<![CDATA[Implementation of IoT-Based Facial Recognition for Home Security System Using Raspberry Pi and Mobile Application ]]>
<![CDATA[Sarimole, Frencis Matheos]]>;
<![CDATA[Septianto, Ahas Eko]]>
<![CDATA[ International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024 ]]>
Publisher : <![CDATA[Lembaga Komunitas Informasi Teknologi Aceh (KITA) ]]>
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DOI: 10.35870/ijsecs.v4i2.2554
<![CDATA[The rapid advancement of technologies such as Artificial Intelligence (AI), computer vision, and the Internet of Things (IoT) has significantly impacted various fields, particularly in security systems. Traditional security measures, such as door locks, are increasingly inadequate in ensuring the safety of homes. To address this issue, we have developed a prototype of a home security system based on Raspberry Pi, integrated with a real-time mobile application. This intelligent system is designed to monitor residential areas, detect unfamiliar individuals, and send immediate notifications to the homeowner's mobile device. Utilizing Raspberry Pi in conjunction with OpenCV for motion and facial recognition, as well as a web server, the system demonstrates high accuracy in detecting motion and faces. It promptly notifies the homeowner in the event of suspicious activity. This prototype represents an efficient and effective solution to enhancing home security by leveraging modern technology.]]>
