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All Journal Journal of Applied Information, Communication and Technology (JAICT)
Hutama Arif Bramantyo
Jurusan Teknik Elektro, Universitas Diponegoro Semarang Jl. Prof. Sudharto, SH, kampus UNDIP Tembalang, Semarang 50275, Indonesia
Engineering

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Design of VHF Directional Antenna on Class B Automatic Identification System (AIS) for Vessel Traffic Monitoring Supriyanto, Eko; Hasan, Abu; Bramantyo, Hutama Arif; Nurrani, Hanny
JAICT Vol. 8 No. 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.5017

Abstract

The majority of Automatic Identification System (AIS) equipment used on ships, harbormasters, and monitoring stations utilizes antennas that possess an omnidirectional beam pattern, covering all directions in a 360-degree range. One limitation inherent to omnidirectional antennas is their susceptibility to signal dispersion, resulting in suboptimal signal gain in certain directions. In the context of using omnidirectional antennas at Port AIS stations or other Monitoring Stations situated in expansive terrestrial regions, it is observed that the monitoring range is reduced. The objective of this study is to develop a prototype of a directional antenna capable of enhancing the monitoring range of ship traffic monitoring stations in alignment with the specific direction requested by land-based monitoring stations. The approach  being utilized  is the prototype method. This methodology encompasses the sequential steps of data collection, material and issue identification, planning, modeling, building, testing, and implementation.
Optimizing Call Setup Success (CSSR) Parameters In Mobile Communications Using K-Nearest Neighbor (K-NN) Bramantyo, Hutama Arif; Mujahidin, Irfan
JAICT Vol. 8 No. 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.5084

Abstract

The evaluation of the mobile communication network inside the cellular communication system, often known as the Global System for Mobile Communication, is crucial to achieve optimal call quality. The Call Setup Success Rate (CSSR) is a measure that plays a significant role in determining the performance of the mobile network, alongside various other factors. The mobile network's performance may decrease if the Call Setup Success Rate (CSSR) number is below the expected standard. The CSSR outcome is influenced by multiple variables that lack a specific formula or exhibit no discernible relationship with one another. The individual responsible for optimizing decisions in the real case is an operator or an engineer who relies on their experience to inform their choices. Nevertheless, even those with previous expertise in this domain may encounter difficulties determining the most effective approach for optimizing CSSR parameters since they must consider the interconnections among the many inherent values in these parameters. In order to achieve this objective, it is necessary to employ pattern recognition algorithms, among which the k-nearest Neighbor (k-NN) technique is included. In this study, the k-nearest Neighbor method will be employed to assist novice engineers in determining the optimization method for enhancing CSSR performance. Certain data from the OMC-R are utilized for the purpose of enhancing the performance of the CSSR and determining the feasibility of employing the k-NN pattern recognition approach to improve the CSSR. The efficacy of the k-Nearest Neighbors (k-NN) algorithm in providing an optimal solution, as determined by the operator or engineer on behalf of the telecommunication service provider, serves as a key indicator of the system's overall success. The implementation of CSSR optimization utilizing the k-NN algorithm decision has achieved a successful outcome, with 89.65% of the total data being accurately processed.
Design and Development of a Monitoring and Controlling System for Automatic Watering and Filling in Fungi House's Internet of Things-Based Mushroom Cultivation Supriyanto, Eko; Rochmatika, Rizkha Ajeng; Oktaviani, Cantika Cakhya; Luqita, Syauqi Fajar; Hasan, Abu; Bramantyo, Hutama Arif; Yudantoro, Tri Raharjo
JAICT Vol. 9 No. 2 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i2.5921

Abstract

Temperature and humidity are aspects that need to be considered in cultivating oyster mushrooms. Previously, Fungi House in Genting Village, Semarang, implemented an automatic temperature, humidity, and watering monitoring system, but manually filled the water. This new system's design and development aim to simplify the monitoring and control of temperature, humidity, and water level for managers. Managers determined temperature, humidity, and water level thresholds via the web page. This system used the agile scrum method. The test results showed that the temperature measurement accuracy was 96.85%, humidity 99.35%, and water level 98.99%. With this system, the quality of baglog (mushroom growing medium) increased by 4.62%, while dead baglog decreased by 99.01%. Black box testing demonstrates that all features perform well in web testing. In the load activity test, with low bandwidth (6.71 Mbps), the average load time was 1.32 seconds, and with high bandwidth (37.15 Mbps), it was 0.878 seconds. These two conditions indicate excellent system performance and provide optimal user experience.
Quick Response Anti-Theft Measures in Jewelry Stores and Banks Utilizing the Internet of Things Widodo, Sarono; Bramantyo, Hutama Arif; Wardihani, Eni Dwi; Yulianto, Taufiq; Helmy, Helmy; Wasito, Endro; Daffa, Muhammad; Yuliana, Lutfi
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5113

Abstract

The act of theft is a prevalent criminal activity within society, particularly observed in financial institutions and jewelry establishments, owing to the significant economic worth associated with valuable assets like currency, gold, and diamonds. Certain locations lack an integrated security system that interfaces with law enforcement, hence posing challenges for victims to report criminal incidents, particularly in cases involving armed or violent attackers. Hence, the purpose of this final project tool is to streamline and expedite theft reporting by leveraging the capabilities of the Internet of Things. This tool gathers empirical data in the form of visual representations, geographical coordinates, and temporal information pertaining to an incident. The development process employs the waterfall methodology, characterized by an average data transmission speed of 21.5 seconds and a database-to-telegram latency time of around 3.85 seconds. The complete duration encompassing the stages of detection and subsequent notification via telegram amounts to approximately 25.35 seconds. The test results indicate a location tolerance of around 5-10 meters relative to the test spot.
Asymmetrical 3x1 Disk Patch Array with Rugby Ball Slot Microstrip Antenna for LoRa IoT B-OSA (Bidirectional Outdoor Sectoral Area) System Bramantyo, Hutama Arif; Mujahidin, Irfan; Kitagawa, Akio; Apriantoro, Roni; Rochmatika, Rizkha Ajeng; Waluyo, Catur Budi
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6593

Abstract

Using minimal transmission power, Long-Range Wide Area Networks (LoRaWAN) enable the transmission of data via radio connections from sensors, which may be remote or challenging to reach, to gateways and servers linked to mobile networks for data processing, exchange, or relay, so generating numerous applications for object monitoring and tracking. Nonetheless, owing to its attributes of low data rates for low-power communications, information transmission utilizing LoRa technology is inadequate for rapid real-time data monitoring. Moreover, the narrow bandwidth of LoRa modulation techniques will yield minimal accuracy in localization efforts, as it cannot effectively address multipath issues. This paper proposes a multi-standard 3X1 Antenna Array and a LoRa end device that accurately measures locations using 3X1 technology and transmits this location data to the gateway and Internet of Things Network via LoRa. Measurement outcomes in both indoor and outdoor environments indicate that Antenna Array 3X1 achieves localization accuracy at the sub-meter level, specifically between 10 and 33 cm. Furthermore, Antenna Array 3X1 demonstrates ranges of 124 m in Line-of-Sight (LOS) scenarios and 55 m in Non-Line-of-Sight (NLOS) scenarios, respectively.
Co-Authors Abu Hasan Apriantoro, Roni Catur Budi Waluyo, Catur Budi Daffa, Muhammad Eko Supriyanto Endro Wasito, Endro Eni Dwi Wardihani, Eni Dwi Helmy Helmy, Helmy Kitagawa, Akio Luqita, Syauqi Fajar Nurrani, Hanny Oktaviani, Cantika Cakhya Rochmatika, Rizkha Ajeng Sarono Widodo, Sarono Taufiq Yulianto Tri Raharjo Yudantoro Yuliana, Lutfi