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All Journal Jurnal Teknologi dan Manajemen Informatika CESS (Journal of Computer Engineering, System and Science) Jurnal Mnemonic REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Mandiri IT Haga: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Nuansa Informatika Jurnal Sistem Informasi Galuh
Firdaus Laia
Universitas Nias Raya
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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SOCIALIZATION OF ADMINISTRATIVE SERVICES IN THE RESEARCH AND COMMUNITY SERVICE INSTITUTION AT NIAS RAYA UNIVERSITY Harefa, Darmawan; Laia, Bestari; Laia, Firdaus; Tafonao, Aluiwaauri
Haga : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 1 (2023): Haga: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/haga.v2i1.928

Abstract

The purpose of this service is to provide understanding to the students in facilitating the services at the Research and Community Service Institution of Nias Raya University. Accessible services can save time, ensuring students do not have to wait too long for various matters at the Research and Community Service Institution of Nias Raya University. The methods used in this service are lectures and direct socialization delivered to students dealing with the Research and Community Service Institution of Nias Raya University. The results from this service show progress in the previously time-consuming administrative processes, with fast and efficient service experienced by the students. In conclusion, the administrative services at the Research and Community Service Institution of Nias Raya University are currently well-coordinated, and the impact can be felt by all students who have experienced the services provided. A suggestion for this service activity is to conduct regular evaluations of the services provided by the Research and Community Service Institution of Nias Raya University, both from the institution's team and the students who feel they have not received optimal service.
Optimization of quicksort algorithm for real-time data processing in IoT systems with random pivot division and tail recursion Laia, Firdaus; Wau, Ferdinand Tharorogo; Manurung, Jonson
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.401

Abstract

Real-time data processing in Internet of Things (IoT) systems requires efficient sorting algorithms to handle large and ever-increasing volumes of data. The QuickSort algorithm is often used due to its speed and efficiency, but on large pre-sorted datasets, this algorithm can experience performance degradation due to poor pivot selection and the use of regular recursion. This study aims to optimize the QuickSort algorithm through random pivot selection and the application of tail recursion to improve sorting efficiency on IoT datasets. Experiments were conducted by comparing the standard QuickSort version and the optimized version, using synthetic and real-time IoT datasets from temperature and humidity sensors. Performance evaluation was based on execution time and memory usage metrics. The results show that QuickSort with random pivot and tail recursion can reduce execution time by up to 27% and memory usage by up to 18% compared to the standard QuickSort implementation. These findings indicate that the proposed algorithm is more efficient for IoT applications that require real-time data processing, and has the potential to be applied in distributed data systems and parallel processing for large-scale scenarios.
Web-Based Data Collection Service System Design for the Social Services Department of Nias Selatan Laia, Finis Hermanto; Laia, Firdaus; Syahidi, Aulia Akhrian; Buulolo, Progresif
Jurnal Informatika Vol 4 No 1 (2025): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v4i1.2608

Abstract

The Social Services Department of Nias Selatan faced challenges in managing data on Penyandang Masalah Kesejahteraan Sosial (PMKS) due to manual processes and geographical constraints across the district. This study aimed to design a web-based data collection service system to improve data management, complaint handling, announcements, and dissemination of social welfare information. Data were collected through observations and interviews, and the system was modeled using Unified Modeling Language (UML) diagrams, including Use Case, Activity, Sequence, and Class Diagrams. The system was developed using the waterfall method, with PHP and MySQL as the programming and database technologies. Functional testing using the black box method showed that the system functioned as expected. The resulting web application facilitated effective and transparent management of PMKS data, enhanced complaint services, and improved information delivery to the community. The system supported the Social Services Department in performing its duties more efficiently, particularly in managing PMKS data across multiple sub-districts. Future developments were considered, including security enhancements and integration with social media platforms for broader information dissemination.
Co-Authors Bestari Laia Dadan Mulyana Depa Melina Ellbert Hutabri, Ellbert Eryan Ahmad Firdaus Fau, Jhon Firman Ferdinand Tharorogo Wau Finis Hermanto Laia Gea, Karunia Harefa, Darmawan Mahdani Mamay Syani Manao, Leonardus Historis Manurung, Jonson Marselino Wau Maulana, Haisyam Muhammad Kailani Ridwan Muhammad Taufik Faturrahman Pratama Jabir, Yuda Progresif Buulolo Saifudin Shanti Maulani Syahidi, Aulia Akhrian Syani, Mamay Tafonao, Aluiwaauri Tobias Duha Tutik Maryana Yudi Permana, Nana