cover
Contact Name
Nahrun Hartono
Contact Email
nahrunhartono@gmail.com
Phone
+62895418470770
Journal Mail Official
jurnal.synctech@gmail.com
Editorial Address
Bumi Batara Mawang Permai Gowa, Indonesia
Location
Kab. gowa,
Sulawesi selatan
INDONESIA
System Information and Computer Technology (SYNCTECH)
ISSN : -     EISSN : 30892724     DOI : -
Core Subject : Science,
System Information and Computer Technology (SYNCTECH) is a peer-reviewed, open-access journal published by the CV Subaltren Inti Media. It has been published online since 2024. SYNCTECH publishes original research findings and high-quality scientific articles that present cutting-edge approaches, including methods, techniques, tools, implementations, and applications. The journal serves as an archival resource for researchers, scientists, and engineers involved in all aspects of information technology, computer science, computer engineering, information systems, and software engineering. SYNCTECH is registered with BRIN under e-ISSN: 3089-2724. SYNCTECH is published twice a year, in February and July. Every manuscript submitted is reviewed by expert reviewers through a double-blind peer-review process. Manuscripts may be submitted in Bahasa Indonesia or English. SYNCTECH also accepts submissions for its “Selected Papers” section. These are special articles published in the nearest edition and must meet the following criteria: Written in English, and Include at least one co-author affiliated with an institution outside Indonesia. If your paper meets these requirements, please contact our editorial representative to secure a slot in the “Selected Papers” section.
Articles 14 Documents
Desain dan Evaluasi Prototipe Jaringan Sensor Nirkabel untuk Monitoring Lahan Persawahan di Kabupaten Gowa Nur Hidayat , Andi Muhammad; Donangsyah, A. Zulfan; Ihsan, Aldin; Rihan, Muh.
System Information and Computer Technology (SYNCTECH) Vol. 2 No. 1 (2026): February
Publisher : Subaltren Inti Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Monitoring agricultural land is a crucial element in increasing productivity and food security. Gowa Regency has extensive and scattered rice fields, necessitating an efficient and affordable automated monitoring system. This study designed and evaluated a wireless sensor network (WSN) prototype based on Arduino and XBee modules to monitor land conditions in real time, including temperature, air humidity, and soil moisture. The evaluation included network coverage, connection stability, sensor accuracy, and the system's ability to support environmental data-driven decision-making. The results showed that the prototype was capable of transmitting data in real time with low deviation, demonstrating the potential of WSN as an agricultural monitoring tool in Gowa Regency
Implementasi Mesh Wi-Fi untuk Mengatasi Deadzone di Rumah Nur Hidayat , Andi Muhammad; Rahmat, Muhammad Ryaas; Aulia Renggala, Andi Nur Rizqah
System Information and Computer Technology (SYNCTECH) Vol. 2 No. 1 (2026): February
Publisher : Subaltren Inti Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

including within household environments. However, the presence of areas without signal coverage, or dead zones, remains a serious obstacle in the use of conventional router-based wireless networks. This study aims to evaluate the effectiveness of implementing a Mesh Wi-Fi network in addressing dead zone issues in residential settings, taking into account room configuration, wall obstructions, and potential interference. The research was conducted using an experimental approach by deploying Wi-Fi 6–based Mesh Wi-Fi devices in a two-story house that previously experienced connectivity issues. Data were collected through measurements of signal strength, download and upload speeds, latency, and network stability across three critical areas of the house. The results show a significant improvement, with an average increase of 26.05 dBm in signal strength and more than a 500 percent increase in download speeds after the implementation of Mesh Wi-Fi compared to a single-router network. In addition,the variation in signal quality across locations decreased, indicating a more even distribution of network coverage. These findings demonstrate that Mesh Wi-Fi is an effective and practical solution for improving network quality in homes with complex building structures, and it is capable of overcoming the limitations of traditional solutions such as signal boosters or additional routers. Therefore, the implementation of Mesh Wi-Fi is recommended as an alternative for providing stable internet connectivity in modern households.
Pengelompokkan Tindakan Kriminalitas di Indonesia dengan K-Medoids Menggunakan Algoritma Artificial Bee Colony Musa, Adinda Pratiwi; Achmad, Novianita; Nasib, Salmun K.
System Information and Computer Technology (SYNCTECH) Vol. 2 No. 1 (2026): February
Publisher : Subaltren Inti Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to classify regional police forces in Indonesia based on the level and characteristics of criminal activity by applying the K-Medoids method optimized using the Artificial Bee Colony (ABC) algorithm. This grouping is intended to identify the dominant crime patterns in each region and evaluate the effectiveness of the methods used in producing representative clusters. The analysis results show that the K-Medoids-ABC method produces three main clusters, with the distribution of each consisting of 7 regional police departments in cluster 1, 5 regional police departments in cluster 2, and 21 regional police departments in cluster 3. Cluster validation using the Silhouette Index (SI) yielded a value of 0.387, indicating that the clustering results fall into the weak structure category, meaning the cluster structure is formed but with weak separation (Weak Separation). Cluster 1 shows a moderate and relatively even crime rate, Cluster 2 is dominated by crimes against life and crimes of fraud, embezzlement, and corruption, while Cluster 3 shows low values across all variables, with the lowest values for violent property crimes and drug-related crimes. This cluster reflects regions with relatively safe conditions, as evidenced by very low crime rates. These differences in characteristics between clusters reflect the diversity of factors causing crime in each region and have important implications for formulating more contextual and targeted crime prevention strategies.
Integrasi Data Penelitian dan Pengabdian Dosen untuk Monitoring Berbasis Data Warehouse Amalia, Yunita; Hartono, Nahrun; Muin, Asrul Azhari
System Information and Computer Technology (SYNCTECH) Vol. 2 No. 1 (2026): February
Publisher : Subaltren Inti Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The management of research and community service data of lecturers in higher education institutions requires an integrated system to support effective monitoring and reporting processes. At UIN Alauddin Makassar, research and community service data had previously been stored separately in Microsoft Excel files managed by different staff members, which made data processing, retrieval, and comprehensive analysis difficult. This study employed a quantitative approach with stages consisting of requirements analysis, system design, data warehouse implementation, and system testing. Data integration was carried out through the Extract, Transform, and Load process into a structured centralized data storage. System testing was conducted using the Black Box Testing method to ensure that all system functions operated according to user requirements. The results showed that the implementation of the data warehouse successfully integrated research and community service data in a structured manner, reduced data duplication, and improved efficiency in data retrieval and report generation. The developed system also provided monitoring reports in the form of a web-based dashboard that was informative and easy to understand. Therefore, the implementation of this data warehouse was able to assist the Institute for Research and Community Service (LP2M) in managing and monitoring lecturers’ research and community service activities more effectively and optimally.

Page 2 of 2 | Total Record : 14