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Analysis of Iot-Based Soil Moisture Data Visualization and Network Stability Effects on Precision Irrigation Monitoring Maulida, Nurwahdaniah; Sutopo, Joko
Indonesian Journal of Agriculture and Environmental Analytics Vol. 5 No. 1 (2026): January 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijaea.v5i1.15882

Abstract

The Internet of Things (IoT) technology has enhanced precision irrigation monitoring by enabling real-time soil moisture measurement. However, the reliability of historical data visualization is strongly influenced by network stability between sensors and data servers. This study analyzes soil moisture trend visualization based on an IoT system and evaluates the effect of network stability on data consistency. Soil moisture data were obtained using a capacitive sensor integrated with an ESP32 microcontroller and transmitted via a Wi-Fi network. Data trends were visualized using time-series graphs, while network performance parameters, including latency, packet loss, and transmission delay, were analyzed. The results indicate that network instability causes data loss and irregular visualization patterns, which may affect irrigation monitoring accuracy. Therefore, improving network reliability is essential for sustainable precision agriculture systems.
Optimization of Support Vector Machine Model Performance in Image Classification through Dimension Reduction with Principal Component Analysis (PCA) Ferdian, Zahfar Aziz; Sutopo, Joko
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11675

Abstract

This study examines how to optimize a Support Vector Machine (SVM) model using a dimensionality reduction method called Principal Component Analysis (PCA) to classify images with multiple dimensions. The dataset used is Chessman images with an initial number of features of 12,288. PCA was applied with the aim of retaining 99% of the total variation, resulting in 312 principal components. The results show a significant improvement in computational efficiency: training time was drastically reduced from 29.85 seconds to just 0.17 seconds (168 times faster), and memory usage decreased from 25.83 MB to 0.66 MB (97% more efficient). Although the accuracy experienced a small decrease, namely from 31.58% to 31.22%, PCA still functions as a noise filter that helps improve performance, especially in classes with complex visual patterns, such as an increase in the F1-score of the "Rook" class from 0.32 to 0.37. The conclusions of this study indicate that PCA provides important efficiency improvements without significantly sacrificing classification performance.
Human Security and Coastal Diplomacy: A Comparative Study of Indonesia and Australia in Managing Tourist Safety Rohmatika, Fiya Ainur; Sutopo, Joko
Jurnal Multidisiplin West Science Vol 5 No 03 (2026): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v5i03.3290

Abstract

Coastal tourism safety presents a diplomatic human security agenda, especially for Indonesia as an archipelagic country (≈99,093 km of coastline) and Australia with its mature coastal safety regime. This study aims to assess how the principle of human security is translated into tourism safety governance and how Indonesia-Australia coastal diplomacy produces soft power. The methods used are comparative studies based on policy and document analysis (BPS; BPS-DIY; National Coastal Safety Report 2024; Plan of Action 2025–2029), descriptive statistics of visits, and institutional assessments. The results show a strong recovery in Indonesian tourist arrivals: 4.05 million (2020), 1.56 million (2021), 5.89 million (2022), 11.68 million (2023), and 13.90 million (2024). At the regional level, DIY recorded 9,699 foreign tourists in May 2025 (up 35.94% m/m), with a cumulative total of 32,823 visits from January to May, while domestic tourist movements reached 3,547,415 trips. In Australia, the Surf Life Saving network comprises ≈316 clubs with >198,000 members, 558 patrol services, and 8,857 rescues in 2023/24; epidemiological literature estimates a backwash-related mortality rate of ≈0.11 per million visits. Comparisons indicate a gap in the degree of institutionalization: Australia displays consistent standards, proficiency tests, and exposure-based reporting, while Indonesia still varies between regions. In conclusion, coastal tourism safety is a manifestation of human security which, through coastal diplomacy, generates reputational gains (soft power). Recommendations include establishing national beach SOPs, exposure-based reporting, consistent certification, and multilingual risk communication as prerequisites for integrating human security into tourism governance