Claim Missing Document
Check
Articles

Found 7 Documents
Search

Analisa Performansi Komunikasi Lora (Long Range) pada Sistem Monitoring Buoy di Laut Sa'adah, Nihayatus; Aries Pratiarso; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4462

Abstract

LoRa (Long Range) is a leading technology in Low Power Wide Area Networks (LPWAN), ideal for Internet of Things (IoT) applications. Designed for long-range communication with low power consumption, LoRa is used in monitoring navigation buoys, critical aids in marine waters. An IoT-based monitoring system is essential for maintaining buoy functionality. LoRaWAN, with a range of 15 kilometers under line of sight (LoS) conditions, is employed for IoT connectivity in this system. In this study, 915 MHz LoRa communication was used in buoy monitoring, with performance evaluated based on signal-to-noise ratio (SNR) and received signal strength indicator (RSSI). Measurements showed an average RSSI greater than -120 dB and an average SNR greater than -20 dB, indicating LoRa's suitability as a communication network for buoy monitoring systems.
Development of IoT-Based Home Security Monitoring and Management Systems to Support Smart City Ecosystems Aldo Dwi Wahyudi; I Gede Puja Astawa; Faridatun Nadziroh
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4605

Abstract

The safety of the house and its contents is an essentialneed and must be maintained to avoid unwanted things. This is because of the increasing prevalence of criminal acts of theft in houses that their owners are abandoning. Along with the development of the times and the increase in technology, a home security device is needed to obtain accurate information, where homeowners can access and get reports about the house's conditionin real-time. To overcome these problems, it is necessary to have a tool that can monitor the house's condition and inform the house's state at any time. The device used in designing this security system, namely the Esp32-Cam microcontroller,will automatically send photos to Telegram,and the buzzer alarm and LED flash will be turned on;if this thief gets closer to the front door of the house, then the ultrasonic waves will also be activated.
Development of IoT-Based Smart Waste Management Systems for Organic and Non-Organic Waste in Smart Cities Aurelya Kirani Afkarien; I Gede Puja Astawa; Faridatun Nadziroh
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4606

Abstract

Public awareness of the importance of separating organic and inorganic waste and waste management is minimal, so there is a lack of public knowledge to distinguish between organic and inorganic waste. In addition, the slow transportation of garbage from the Temporary Disposal Site (TPS) to the Final Disposal Site (TPA) with a slow garbage truck can cause accumulation, so height monitoring that can be accessed remotely is needed. Based on these problems, it is necessary to have Organic and Inorganic Waste Detection tools and Internet of Things (IoT)-based altitude monitoring using infrared, capacitive, and inductive proximity sensors to distinguish between the two types of waste. This tool also monitors garbage height using ultrasonic sensors and the Ublox Neo 6mv2 GPS Module connected to the NodemCU ESP32 microcontroller to determine the longitude and latitude location point values. The altitude information will be sent to the Google Firebase server using WiFi and displayed on the App created using the MIT App Inventor.
Optimizing LoRa Gateway Placement for Marine Buoy Monitoring Using Particle Swarm Optimization (PSO) Nihayatus Saadah; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; Aries Pratiarso; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto; Ahmad Baihaqi Adi Putro
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11026

Abstract

Effective marine environmental monitoring is critical for ensuring navigational safety, with LoRa technology emerging as a promising solution due to its long-range, low-power capabilities. However, the performance of LoRa networks heavily depends on strategic gateway placement, a task often performed manually, leading to suboptimal coverage. This study addresses this challenge by implementing and validating a Particle Swarm Optimization (PSO) algorithm to determine the optimal placement of gateways for a real-world network of 157 marine buoys in the Madura Strait. The PSO algorithm, configured with 30 particles and 100 iterations, was benchmarked against a baseline manual selection method based on geographic centrality. Results demonstrate a significant performance gain: the PSO-optimized configuration achieved 100% network coverage (157 buoys), a 34.2% increase over the 117 buoys covered by the manual method. These findings confirm that employing PSO for gateway placement substantially enhances network efficiency and data reliability, highlighting its value for creating robust and scalable marine IoT applications.
IoT-Based Automatic Clothesline System Using ESP8266 with Fuzzy Logic Control and Web-Based Monitoring Firda Ayu Adhidta; I Gede Puja Astawa; Faridatun Nadziroh
The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5071

Abstract

The efficiency and safety of manual clothes drying are significantly affected by weather conditions, such as rainfall, humidity, and limited sunlight. To address these challenges, this study presents the design and implementation of an Internet of Things (IoT)-based automatic clothesline system that uses an ESP8266 microcontroller with fuzzy logic control. The system incorporates multiple environmental parameters, including temperature, humidity, light intensity, and rain detection, to enable adaptive movement of the clothesline and fan activation. A fuzzy inference mechanism handles sensor data uncertainty and generates appropriate control actions in real time. Additionally, a web-based monitoring interface enables users to remotely monitor environmental conditions and system status and to manually control the system. Experimental results show that the system responds effectively to dynamic weather changes, reducing the risk of clothes being exposed to rain and enhancing overall drying efficiency. These findings suggest that the proposed approach offers a practical and reliable solution for smart household automation applications.
Adaptive Smart Cat Feeding System Based on ESP32 Using Fuzzy Logic and IoT Monitoring Stefina Hendrayani; I Gede Puja Astawa; Budi Aswoyo
The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5072

Abstract

Smart pet feeders are increasingly utilised to enhance daily pet care; however, most existing systems depend on fixed feeding schedules and lack adaptability to changing conditions. This study details the design and implementation of an Internet of Things (IoT)-based smart cat feeder that incorporates an ESP32 microcontroller, fuzzy logic control, and a web-based interface. The system utilises a fuzzy inference mechanism to adaptively determine feeding portions under uncertain conditions, thereby addressing the limitations of threshold-based feeding strategies. A web interface enables real-time monitoring and manual override functions. Experimental results demonstrate that the system operates reliably and provides a more flexible, adaptive feeding behaviour than conventional automatic feeders. These findings suggest that the proposed approach offers a practical and effective solution for intelligent pet care applications.
An Intelligent IoT-Based Irrigation System with Fuzzy Logic Control for Orchid Cultivation Nabilah Farah Rizqika Widodo; I Gede Puja Astawa; Faridatun Nadziroh
The Indonesian Journal of Computer Science Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i1.5074

Abstract

Efficient irrigation management is essential in orchid cultivation because orchids are susceptible to environmental factors, especially soil moisture and temperature. This study details the design and implementation of an Internet of Things (IoT)-based intelligent irrigation system for orchids using fuzzy logic control. The system integrates environmental sensors with a microcontroller platform to enable adaptive irrigation decisions in uncertain, dynamic environments. A fuzzy inference mechanism determines optimal irrigation actions, addressing the limitations of fixed-threshold methods. Furthermore, the system features real-time monitoring, enabling users to observe environmental conditions and system status remotely. Experimental results show that the system operates reliably and maintains irrigation conditions within the target range. These findings suggest that the proposed approach offers a practical and effective solution for intelligent irrigation in precision agriculture.