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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 Journal of Intelligent Decision Support System (IDSS) 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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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.
Sistem Informasi Manajemen Pengawasan Dan Pengendalian (WASDAL) Menara Telekomunikasi (Studi Kasus: Dinas Komunikasi Dan Informatika Kota Cimahi) Mamay Syani; Yuda Pratama Jabir; Firdaus Laia; Eryan Ahmad Firdaus
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.193

Abstract

Telecommunication tower management information system is a crucial data processing system for telecommunication tower fee collection, given the importance of having an efficient and integrated system. However, the Department of Communication and Informatics of Cimahi City still lacks an integrated system, resulting in a slower telecommunication tower fee collection process. To address this issue, a Website named Telecommunication Tower Supervision and Control Management Information System (Wasdal) was developed as an integrated system to facilitate the fee collection process and generate fee collection reports. The methodology employed in this research is the Software Development Life Cycle (SDLC), and the Website is constructed using Laravel framework, Bootstrap, and MySQL database. The implementation results reveal that the overall built management information system Website meets user requirements. The User Acceptance Test (UAT) outcomes indicate average parameter scores of design (78%), features (79.20%), user satisfaction (80.60%), with an overall testing score of 81.3%.
Development of an IoT-Based Smart Hydroponic Monitoring System as a Modern Agricultural Solution in Remote Areas Laia, Firdaus; Laia, Finis Hermanto; Telaumbanua, Setia Murni; Sitorus, Halasan Pardamean; Hondro, Fernando Jofannikus
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 4 (2025): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i4.318

Abstract

This research was motivated by the low agricultural productivity on Nias Island caused by limited land availability, inadequate infrastructure, restricted access to modern technology, and highly variable climatic conditions. This study aims to develop an Internet of Things (IoT)-based smart hydroponic monitoring system capable of automatically monitoring key parameters such as temperature, pH, water quality, and nutrient levels in real time, integrated with mobile applications and cloud platforms for remote accessibility. The research methodology consists of needs analysis, system design, prototype implementation, testing, and performance evaluation. The test results demonstrate that the developed prototype operates effectively, with sensor accuracy showing an average error of 3.74% for TDS, 1.28% for pH, and 0.91% for temperature measurements, while actuator testing confirmed 100% correct system response to nutrient and pH control scenarios. The system also maintained stable data transmission to mobile and cloud platforms without significant latency. These findings indicate that the proposed IoT-based monitoring system can significantly improve the efficiency and productivity of hydroponic agriculture, particularly in resource-limited regions such as Nias Island. The study provides empirical evidence of the system’s performance, reinforcing its potential as a practical solution for modernizing agriculture in remote areas.
Implementasi Monitoring Website Pemkot Cimahi Menggunakan Uptime Kuma Berbasis VPS Gilang Trifebriyanto, Fajar; Syani, Mamay; Alpiyasin, Feri; Laia, Firdaus; Parga Zen, Bita
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5665

Abstract

The Department of Communication and Informatics (Diskominfo) of Cimahi City manages various digital public services that require high availability. However, the manual monitoring process of these websites is inefficient and prone to delays in detecting downtime. This study aims to implement an automated monitoring system using Uptime Kuma hosted on a Virtual Private Server (VPS) and integrated with a Telegram Bot for real-time notifications. The research method involves configuring Uptime Kuma to monitor 25 government websites via HTTP/HTTPS protocols with a 60-second check interval. The results demonstrate that the system successfully visualizes the status of all websites on a centralized dashboard. Furthermore, the Telegram integration provides instant alerts to the technical team when disruptions occur, significantly reducing the response time and ensuring the reliability of the Electronic-Based Government System (SPBE).
Co-Authors Bestari Laia Bita Parga Zen Dadan Mulyana Depa Melina Ellbert Hutabri, Ellbert Eryan Ahmad Firdaus Fau, Jhon Firman Ferdinand Tharorogo Wau Feri Alpiyasin Finis Hermanto Laia Gea, Karunia Gilang Trifebriyanto, Fajar Harefa, Darmawan Hondro, Fernando Jofannikus Mahdani Mamay Syani Manao, Leonardus Historis Manurung, Jonson Marselino Wau Maulana, Haisyam Muhammad Kailani Ridwan Muhammad Taufik Faturrahman Progresif Buulolo Saifudin Setia Murni Telaumbanua Shanti Maulani Sitorus, Halasan Pardamean Syahidi, Aulia Akhrian Syani, Mamay Tafonao, Aluiwaauri Tobias Duha Tutik Maryana Yuda Pratama Jabir Yudi Permana, Nana