Jurnal KomtekInfo

Transformasi Digital Administrasi Sekolah melalui Sistem Informasi Manajemen Keuangan (SIMKU)

2025-05-21T08:47:28+07:00

The process of managing administrative data in private schools, especially data related to payment of School Operational Assistance (SPP), remains a challenge for many institutions that have not yet implemented an optimal information system. Data management still relies on manual tools such as Microsoft Excel, which has several limitations, including difficulties in data retrieval, potential input errors, and challenges in the recapitalization and reporting process. This affects the efficiency of administrative staff and causes delays in providing information to relevant parties such as teachers, students, and parents. To address these issues, a web-based SPP Payment Information System has been developed to help manage and process student SPP payments more effectively and efficiently. This system is designed and built using PHP with the Laravel framework, which is open source and supports the development of modern web applications. MySQL is used as the database management system to store all student payment information in a structured manner. This system features functionalities such as payment data input, data search based on student names or payment months, automatic recap, and printable payment reports. With this system in place, it is expected that the financial administration in private schools can be managed in a more organized, accurate, and timely manner. The outcome of this research is an SPP payment information system application that can be utilized by school administration staff to enhance work efficiency and improve the quality of financial information services for the school community. Additionally, this system can be further developed to integrate additional features such as payment notifications or integration with student achievement systems.

Perancangan Sistem Informasi Desa dengan Pendekatan Mobile Application Development Life Cycle

2025-05-25T10:11:39+07:00

Mobile technology offers great opportunities for village governments to improve public services and make village governance more transparent. Lolo Kecil Village still faces several challenges in service delivery, such as administrative processes that are manual and time-consuming, limited community access to information and village activities, and low community participation in decision-making processes. These issues hinder service performance and reduce public trust in the village government. To promote sustainable digital transformation of the village that is responsive to residents' needs, this study aims to design a mobile-based village information system using the Mobile Development Life Cycle (MDLC) approach. The MDLC approach is structured through stages of planning, requirements analysis, system design, and mobile application development. This system is intended to facilitate village administrative processes such as online submission of letters and other public services, as well as enhance transparency by providing access to village information and activities. Through complaint features and discussion forums, the village information system can help residents communicate with village officials and provide direct feedback. The implementation results show that the MDLC works well in creating a stable, responsive, and user-friendly mobile application. As a result, this application can serve as a strategic tool to accelerate digital transformation in the village, improve government accountability, and strengthen the relationship between village officials and the community through more open and clear communication. Consequently, community satisfaction with services provided by the village government has increased.

Perancangan Sistem Pemasaran Produk Pertanian Berbasis Web di Desa Toapaya

2025-06-02T08:45:17+07:00

Desa Toapaya yang berada di Kabupaten Bintan memiliki potensi besar dalam sektor pertanian namun belum diimbangi dengan sistem pemasaran produk yang efektif. Petani dihadapkan permasalahan pada harga jual yang rendah dan ketergantungan terhadap tengkulak akibat rantai distribusi yang panjang. Untuk mengatasi masalah ini dilakukan penelitian untuk mengembangkan sistem pemasaran berbasis web sebagai solusi digital yang dapat menghubungkan petani secara langsung dengan customer. Pengembangan sistem menggunakan metode Waterfall untuk mendukung proses pengembangan bertahap dan berorientasi pada kebutuhan pengguna. Hasil penelitian menunjukkan adanya sistem pemasaran berbasis web dapat menyederhanakan proses pemasaran produk, meningkatkan pendapatan petani, dan memperluas akses pasar. Melalui sistem pemasaran yang telah dikembangkan diharapkan menjadi bentuk solusi digitalisasi sektor pertanian untuk meningkatkan pertumbuhan ekonomi dan kesejahteraan petani di Desa Toapaya

The Role of Artificial Intelligence in Enhancing Cloud-Based Disaster Management Systems

2025-06-11T09:29:21+07:00

Disaster management systems are vital in mitigating the impacts of natural and human-induced disasters. However, traditional methods often struggle with limitations in responsiveness and efficiency, particularly as disaster events become more frequent and severe. This study investigates the role of Artificial Intelligence (AI) in enhancing cloud-based disaster management systems, focusing on improving predictive, analytical, and operational capabilities. The research examines key AI technologies that can be integrated into cloud platforms, including machine learning, natural language processing, and computer vision. AI substantially improves disaster response and recovery by enhancing real-time data processing, decision-making, and resource allocation. The study also highlights AI's potential in early warning and risk assessment, providing decision-makers with more accurate and timely information. Empirical analysis suggests that AI-enhanced cloud systems significantly reduce response times and improve resource distribution during disaster events, decreasing loss of life and property. The research concludes with practical recommendations for implementing AI in cloud-based disaster management and identifies areas for future exploration. The findings underscore the transformative potential of AI in creating more resilient disaster management infrastructures.