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All Journal JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Begawe Teknologi Informasi
Wedashwara, Wirarama
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Materials Science & Nanotechnology Physics

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Sistem Audit Energi untuk Panel Surya dengan Logika Fuzzy Ihza, Yusril; Arimbawa, I Wayan Agus; Wedashwara, Wirarama
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2241.383 KB) | DOI: 10.29303/jcosine.v3i2.262

Abstract

Solar panels are alternative energy that utilizes the intensity of the sun as its energy source. The EBT (Renewable Energy) Laboratory of Electrical Engineering at the University of Mataram is currently still measuring conventionally using a multimeter. Measurements are carried out with the aim of recording the output of solar panels. It takes a tool to be able to measure the output of solar panels continuously and in realtime so that the energy obtained by solar panels can be known with certainty. The tool is made using a current sensor, voltage sensor, and temperature sensor and a microcontroller as a control to retrieve sensor data and then send it to the database using the MQTT protocol. Data on the database is presented in the form of a fuzzy database system and fuzzy queries are performed on the system. Data is collected from 08.00 to 17.00 for one week to get more accurate data. The measurement results and analysis will be displayed in the form of line diagrams with the WEB interface.
INSTALASI IRIGASI TETES BERTENAGA SURYA PADA PERTANIAN LAHAN KERING DESA GUMANTAR KABUPATEN LOMBOK UTARA: Solar-Powered Drip Irrigation Installation On Dryland Farms In Gumantar Village, North Lombok District Zubaidi, Ariyan; Wedashwara, Wirarama; Jatmika, Andy Hidayat; Mardiansyah, Ahmad Zafrullah; Wijayanto, Heri
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 2 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i2.1271

Abstract

Desa Gumantar, yang terletak di Kabupaten Lombok Utara, menghadapi tantangan besar dalam sektor pertanian karena kondisi lahan yang kering dan cuaca panas ekstrem. Rendahnya curah hujan dan distribusi air yang terbatas mengakibatkan kesulitan dalam pengelolaan sumber daya air, yang berdampak negatif pada produktivitas pertanian. Untuk mengatasi permasalahan ini, teknologi irigasi hemat air seperti sistem irigasi tetes sangat diperlukan untuk memaksimalkan penggunaan air secara efisien. Selain itu, pemanfaatan tenaga surya sebagai sumber energi alternatif dapat mendukung keberlanjutan pertanian dengan mengurangi ketergantungan pada bahan bakar fosil. Dalam kegiatan pengabdian masyarakat ini, dilakukan instalasi sistem irigasi tetes yang digerakkan oleh tenaga surya pada lahan pertanian di Desa Gumantar. Sistem ini menggunakan panel surya untuk menggerakkan pompa air yang menyalurkan air melalui pipa langsung ke akar tanaman. Hasil implementasi menunjukkan pengurangan biaya operasional yang signifikan, khususnya dalam pengeluaran solar, serta peningkatan produktivitas tanaman tomat dan cabai. Teknologi ini tidak hanya meningkatkan efisiensi penyiraman tetapi juga memberikan pengetahuan dan keterampilan baru kepada petani mengenai teknologi irigasi berkelanjutan yang ramah lingkungan dan efisien.
Analisis Penerimaan Timbangan Balita Berbasis IoT di Kalangan Tenaga Kesehatan Menggunakan Technology Acceptance Model (TAM) Wulandari, Fidyah Ajeng; Wedashwara, Wirarama; Wijayanto, Heri
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11442

Abstract

This study aims to evaluate the acceptance of IoT-based toddler scales by cadres and health workers at Posyandu by applying the Technology Acceptance Model (TAM). A total of 50 respondents were involved, and the collected data were analyzed using SmartPLS to test the influence of TAM variables on technology acceptance. The analysis revealed that attitude (ATU) was able to explain 63.7% of the variance, indicating that a positive attitude towards technology is a major factor in acceptance. Furthermore, perceived benefits (PU) contributed 57.1%, indicating that respondents adequately recognized the advantages of IoT-based scales. Behavioral intention (BI) also exerts a moderate influence with a contribution of 53.1% of the variance in technology use. However, actual use (AU) only reached 26.5%, indicating a significant gap between intention to use and implementation of the technology in the field due to resistance in the form of concerns related to potential labor reduction. countfor lte to This finding confirms that while the benefits and attitudinal aspects support technology adoption, external factors such as fear of job loss remain barriers to actual implementation.
Text Classification Using Genetic Programming with Implementation of Map Reduce and Scraping Wedashwara, Wirarama; Irmawati, Budi; Wijayanto, Heri; Arimbawa, I Wayan Agus; Widartha, Vandha Pradwiyasma
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1813

Abstract

Classification of text documents on online media is a big data problem and requires automation. Text classification accuracy can decrease if there are many ambiguous terms between classes. Hadoop Map Reduce is a parallel processing framework for big data that has been widely used for text processing on big data. The study presented text classification using genetic programming by pre-processing text using Hadoop map-reduce and collecting data using web scraping. Genetic programming is used to perform association rule mining (ARM) before text classification to analyze big data patterns. The data used are articles from science-direct with the three keywords. This study aims to perform text classification with ARM-based data pattern analysis and data collection system through web-scraping, pre-processing using map-reduce, and text classification using genetic programming. Through web scraping, data has been collected by reducing duplicates as much as 17718. Map-reduce has tokenized and stopped-word removal with 36639 terms with 5189 unique terms and 31450 common terms. Evaluation of ARM with different amounts of multi-tree data can produce more and longer rules and better support. The multi-tree also produces more specific rules and better ARM performance than a single tree. Text classification evaluation shows that a single tree produces better accuracy (0.7042) than a decision tree (0.6892), and the lowest is a multi-tree(0.6754). The evaluation also shows that the ARM results are not in line with the classification results, where a multi-tree shows the best result (0.3904) from the decision tree (0.3588), and the lowest is a single tree (0.356).
Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR Wedashwara, Wirarama; Yadnya, Made Sutha; Sudiarta, I Wayan; Arimbawa, I Wayan Agus; Mulyana, Tatang
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1592

Abstract

Prevention of the effects caused by natural disasters such as earthquakes and landslides requires analysis of vibration propagation. In outdoor applications, internet sources such as WIFI are not always available, so it requires alternative data communications such as nRF24l01. The system also requires a portable power source such as solar power. This research aims to develop a vibration propagation analysis system based on the nRF24l01 wireless sensor network and solar power by implementing the fuzzy rule-based regression (FRBR) algorithm. The system consists of two piezoelectric and nrf24l01 vibration sensors. The system also uses a third node equipped with temperature and soil moisture sensors, air temperature and humidity, and light intensity as environmental variables. The evaluation results show the Quality of Services (QoS) results with a throughput of 99.564%, PDR 99.675%, and a delay of 0.0073s. The Fuzzy Association Rule (FAR) extraction results yield nine rules with average support of 0.319 and confidence of 1 for vibration propagation. The availability of solar power was evaluated with an average current value of 0.250A and a voltage of 3.266V. The results of FRBR are based on the propagation of the vibration that propagated and produced a mean square error (MSE) of 0.141 and a mean absolute error (MAE) of 0.165. The correlation matrix and FAR results show that only soil moisture has a major effect on the magnitude and duration of propagation. However, other variables can regress soil moisture with MSE 0.232 and MAE 0.287.
Co-Authors Budi Irmawati Heri Wijayanto I Wayan Agus Arimbawa, I Wayan Agus I Wayan Sudiarta Jatmika, Andy Hidayat Made Sutha Yadnya Mardiansyah, Ahmad Zafrullah Tatang Mulyana Vandha Pradwiyasma Widartha Wulandari, Fidyah Ajeng Yusril Ihza, Yusril Zubaidi, Ariyan