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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ilmu Komputer Buletin Udayana Mengabdi Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic) Jurnal SPEKTRUM Jurnal Ilmiah Mikrotek SINTECH (Science and Information Technology) Journal Jurnal Ilmu Kesehatan International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) International Journal of Renewable Energy Development Bali Medical and Wellness Journal Jurnal TAM (Technology Acceptance Model) Jurnal Teknokes Jurnal SPEKTRUM
Ida Bagus A. Swamardika
Department Of Electrical And Computer Engineering, Udayana University
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Other

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RANCANG BANGUN MODUL TRAINER KIT MATA KULIAH SISTEM KENDALI+LAB BERBASIS INTERNET OF THINGS (IoT) Hernandi, William; Rahardjo, Pratolo; Alit Swamardika, Ida Bagus; Divayana, Yoga; Oka Saputra, Komang
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

Along with the development of technology, control systems can now control various devices using smartphones connected to the internet remotely (Internet of Things). In order to have a good understanding of this field, universities have a very important role as an education institution. One of them is Udayana University through the Control System + Lab Course in the Independent Campus Learning Curriculum. This study aims to design an IoT-based Lab + Control System Trainer Kit Module using DevKit ESP32. The designed system includes an IoT-based DC motor control system using an L298N motor driver, an IoT-based water cooling control system using a DS18B20 temperature sensor, and an IoT-based water level control system using an HC-SR04 ultrasonic sensor. The system will be controlled through an application that has been created and installed on a smartphone connected to the internet so that it can be tested and analyzed to draw conclusions.
RANCANG BANGUN MODUL TRAINER KIT SISTEM KENDALI BERBASIS DIGITAL Indra Christian, Febry; Rahardjo, Pratolo; Alit Swamardika, Ida Bagus; Divayana, Yoga; Oka Saputra, Komang; Elba Duta Nugraha, I Putu
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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Abstract

A control system is defined as a combination of several components that aim to produce a system response in accordance with the desired process variables. Therefore, control systems are now widely used in various fields such as industry, automotive, public facilities, and household appliances. Especially in the industrial field, control systems play a role in improving production quality and reducing production costs. To create qualified human resources who have a good understanding in this field, universities have an important role in realizing this. One of them is Udayana University through the Electrical Engineering Study Program in the Independent Learning Curriculum in the Control System + Lab Course. This study aims to design a Digital-Based Control System + Lab Trainer Kit Module using Arduio Uno to support the process of implementing practicum in the laboratory. In the trainer kit module, there will be three systems designed, which are DC motor direction and speed control system using L298N motor driver, water heater control system using DS18B20 temperature sensor, and also water level control system using HC-SR04 ultrasonic sensor.
Analysis of Measurement of the Quality of Using the Web-Based Computer Based Test (CBT) Application on User Satisfaction Using Servqual and CSI Methods at SMK PGRI 6 Denpasar Triwayuni, I Gusti Ayu; Sudarma, Made; Alit Swamardika, Ida Bagus
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 13 No 1 (2025): Vol. 13, No. 1, April 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2025.v13.i01.p02

Abstract

The web-based Computer Based Test (CBT) application is an innovation in the academic assessment system that replaces the conventional paper-based exam method. This study aims to analyze the quality of CBT application services on user satisfaction at SMK PGRI 6 Denpasar using the Servqual and Customer Satisfaction Index (CSI) approaches. The research sample consisted of 152 students in grades XI and XII. Data were obtained through online questionnaires and analyzed using the Servqual method to identify gaps between user expectations and perceptions, as well as CSI calculations to measure overall satisfaction levels. The results of the analysis show that 90% of indicators have negative gap values ??indicating that user expectations are higher than actual experiences. However, the CSI value of 82.64% is included in the very satisfied category, indicating that the CBT application still provides significant benefits. Therefore, feature development and service improvements are needed to meet user expectations more optimally.
PERANCANGAN SISTEM KONTROL MESIN SCOWAS BERBASIS IOT PADA KANDANG AYAM BROILER Salmon, Ersa Agnes; Hijriatullah, Rizal Umarhandi; Swamardika, Ida Bagus Alit; Wijaya, I Wayan Arta
Jurnal TAM (Technology Acceptance Model) Vol 15, No 2 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i2.1726

Abstract

This study examines the design of an IoT-based SCOWAS (Smart Coop Warming System) control system for broiler chicken coops using Arduino Mega, DHT 22 sensor, thermocouple, ThingSpeak platform, and Telegram bot. The main goal of this system is to automate the control of temperature and humidity in broiler chicken coops, thereby improving maintenance efficiency and chicken welfare. Arduino Mega serves as the main controller, collecting data from the DHT 22 sensor to measure temperature and humidity, as well as from the thermocouple for more accurate temperature monitoring. The collected data is then sent to the ThingSpeak platform for real-time monitoring and analysis. Additionally, this system is integrated with a Telegram bot that notifies farmers about the environmental conditions of the coop, such as temperature and humidity that do not meet the set thresholds. The implementation of this system allows for more responsive and measured control of coop environmental conditions, minimizing manual interventions that could disrupt productivity. Testing results show that this system is capable of providing accurate and real-time information and control in both measurement and communication with IoT, thus supporting the improvement of broiler chicken maintenance quality and efficiency, and offering an effective and innovative solution in the modern livestock industry.
YOLOv9-Based Object Detection Model For Pig Feces On Pig SKIN: Improving Biosecurity In Automated Cleaning Systems Andika, I Gede Irvan Pramanta; Sudarma, I Made; Swamardika, Ida Bagus Alit; Sedana, I Made Bagus Ambara
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4240

Abstract

This study developed an object detection model using YOLOv9 to identify pig feces on pig skin, addressing challenges in automating pig cleaning systems and reducing the spread of African Swine Fever (ASF). The aim was to enhance biosecurity measures by minimizing human-pig contact through automation. A specialized dataset comprising 5,404 images was collected from Nyoman Farm in Bali, Indonesia, under various lighting and cleanliness conditions. These images were annotated into two classes, namely 'feces' and 'pig,' following strict criteria to ensure clarity and distinction. YOLOv9 was chosen as it is an advanced update of YOLOv8 with enhanced object detection capabilities. The model was iteratively trained and optimized to achieve the best performance. The results achieved a mAP_0.5 of 70.5%, precision of 70.6%, and recall of 72.1%. However, the model faced challenges in distinguishing pig skin patterns from feces and managing false positives caused by similar-looking objects in the barn environment. Despite these challenges, integrating this model into an automated cleaning system can reduce human-pig contact by up to 76%, which is expected to significantly lower the risk of ASF transmission. This study contributes to automated farming technology, demonstrating how well YOLOv9 can detect complex objects in agricultural settings and providing practical solutions to enhance biosecurity in pig farming while improving productivity.
RANCANG BANGUN SOLAR TRACKER SINGLE AXIS BERBASIS ARDUINO UNO Ngurah Yowana Asta Prawangsa; I Gusti Made Bagus Kurniawan; Ida Bagus Alit Swamardika; I Wayan Arta Wijaya; Lie Jasa; Pratolo Rahardjo; I Putu Elba Duta Nugraha
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p9

Abstract

Indonesia has abundant solar energy potential; however, its utilization remains limited due to dependence on fossil fuels and the low efficiency of solar panels caused by static installation systems. To address this issue, this study designed and developed a prototype of an automatic single-axis solar tracker based on Arduino Uno to optimize solar energy absorption. The system is controlled by the Arduino Uno R3 for automatic adjustment of the solar panel position, and the ESP32 is used for real-time monitoring of environmental and electrical parameters. The sensors employed include the BH1750 for light intensity, DHT22 for temperature and humidity, INA219 for voltage and current, and ACS712 for current. Test results indicate that the system is capable of automatically adjusting the solar panel angle, accurately monitoring environmental parameters, and generating stable electrical power for eight hours. Although some instability in current readings was observed when the system operated on battery power, the prototype has proven effective and feasible for further development to enhance the utilization of solar energy.
RANCANG BANGUN PROTOTYPE MONITORING SYSTEM BERBASIS INTERNET OF THINGS PADA INKUBATOR PENETASAN TELUR AYAM Devin Gede Herawan; I Kadek Agus Arta Yasa; Ida Bagus Alit Swamardika; Lie Jasa; I Wayan Arta Wijaya
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p16

Abstract

The hatching process of chicken eggs is highly dependent on a stable incubation environment, especially consistent and standard temperature and humidity. Fluctuations or instability of conditions within the incubator can significantly reduce the success rate of egg hatching (hatching) as well as degrade the quality of the chicks produced. In response to this challenge, this study developed an Internet of Things (IoT)-based monitoring system. The system is designed to monitor crucial parameters such as temperature, humidity, electric current, and voltage inside the incubator. The data collected from the monitoring is then transmitted using the ESP32 module to the ThingSpeak platform. This integration allows users to monitor the condition of the incubator at any time and remotely over an internet connection, providing flexibility and ease of supervision. The test results show that the developed system is able to provide accurate and responsive environmental condition data, and plays an important role in maintaining the stability of the incubation environment. This is expected to increase egg hatchability and support the production of better quality chicks.
Performance Evaluation of a Smart Aeration System for Tilapia Farming Based on IoT and Environmental Sensing Nursuwars, Firmansyah maulana sugiartana; Shofa, Rahmi; hiron, Nurul; Swamardika, Ida Bagus Alit; sambas, aceng
Jurnal Teknokes Vol. 18 No. 4 (2025): Desember
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v18i4.129

Abstract

Fluctuations in dissolved oxygen (DO) levels in high-density biofloc-based tilapia aquaculture pose a critical challenge that directly affects fish growth, survival rate, and feed conversion efficiency. Traditional aeration systems that operate continuously are energy inefficient and unable to adapt dynamically to real-time environmental variations. This study aims to improve DO stability and energy efficiency in biofloc-based tilapia aquaculture through adaptive aeration control. This study designs and evaluates an Internet of Things (IoT)-based smart aeration system that automatically regulates aeration intensity based on real-time DO sensing and threshold-based control logic. The system is built on an ESP32 microcontroller integrated with a digital DO sensor, a water temperature sensor, and relay actuators for blower control, with data transmission via the MQTT protocol and real-time monitoring through a web-based dashboard. Experimental testing was conducted for seven days in a biofloc pond containing 200 tilapia, with a comparative analysis between manual and automated control modes. The results demonstrate that the smart aeration system effectively maintained DO within the optimal range of 5.1–6.8 mg/L while reducing blower energy consumption by 26.7%. Communication reliability was validated with an average transmission delay of 740 ms and a packet loss rate of 1.8%, both of which are acceptable for real-time IoT applications. Data analysis showed consistent improvements in DO stability and energy efficiency throughout the experimental stage. In addition, the system’s modular architecture enables scalability for integration with additional sensors or renewable energy sources, such as solar panels, to support off-grid operations. The findings affirm that the proposed system offers a practical, low-cost, and sustainable solution for data-driven aquaculture management and contribute to the advancement of smart, environmentally responsive aquaculture systems.
Optimizing usability of electric wheelchairs with voice user experience for acceleration wheel rotation design by the kinematics method Santiyasa, I Wayan; Swamardika, Ida Bagus Alit; Suhartana, I Ketut Gede; Putra, I Gusti Ngurah Anom Cahyadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp739-752

Abstract

Individuals with quadriplegia experience total paralysis of all four limbs due to spinal cord injuries, leaving them unable to operate conventional electric wheelchairs that rely on joystick control. Existing alternative interfaces, such as head motion and eye-gaze sensors, are often cost-prohibitive and fail to deliver the maneuverability and accuracy required for daily use. Voice recognition emerges as a practical solution because speech ability is typically retained in quadriplegia, offering a hands-free, intuitive control method. This study proposes an electric wheelchair system integrating voice user experience (VUX), machine learning (ML), and kinematics-based wheel rotation control to address these challenges. Voice commands are processed using natural language processing (NLP) for word recognition and support vector machines (SVM) for amplitude classification to dynamically adjust speed and direction. Forward and inverse kinematics optimize wheel rotation angles, ensuring smooth and precise navigation even in constrained spaces. Experimental results demonstrate 92.82% word recognition accuracy and 94.48% accuracy in frequency and amplitude detection. Functional testing recorded average speeds of 0.343 m/s (no load) and 0.305 m/s (with 60 kg load). Usability testing with 15 quadriplegic users reported 93%.
Application of Lean Ergonomics to Reduce Motion Waste, Musculoskeletal Complaints, and Work Fatigue in Tempeh MSMEs Asih, Endang Widuri; Adiatmika, I G.; Muliarta, I M.; Swamardika, I.B. Alit
Bali Medical and Wellness Journal Vol. 3 No. 1 (2026): Bali Medical and Wellness Journal
Publisher : PT BMW Journal Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71341/bmwj.v3i1.55

Abstract

Background: Tempeh Micro, Small, and Medium Enterprises (MSMEs) are largely home-based industries that rely on manual production processes. These manual tasks often involve inefficient movements, leading to musculoskeletal disorders and significant work fatigue. Objectives: This study aims to implement a Lean Ergonomics approach to reduce motion waste, musculoskeletal complaints, and work fatigue among workers in the tempeh industry. Method: This experimental study used a within-subject design (treatment-by-subject). The research was conducted in two phases: before improvement (P1) and after improvement (P2). Data collection involved identifying waste, analyzing work posture using the Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA), measuring musculoskeletal complaints via the Nordic Body Map (NBM), and assessing fatigue levels using the Industrial Fatigue Rating Committee (IFRC) questionnaire. Results: Interventions included redesigning worktables to improve posture, implementing the 5S methodology to refine work methods, and optimizing the facility layout. The results demonstrated a significant reduction in unnecessary movements, decreasing from 15 in P1 to 7 in P2. Work posture scores improved, with RULA and REBA scores decreasing by 1.81 and 2.87, respectively. Furthermore, musculoskeletal complaints decreased by 22.4% (9.31 points), and work fatigue levels were reduced by 22.14%. Conclusion: The application of Lean Ergonomics effectively reduces motion waste, improves work posture, and lowers levels of musculoskeletal pain and fatigue. These improvements enhance overall work comfort and performance within tempeh MSMEs.
Co-Authors A.A Ngurah Amrita Abdul Hafiz Haqqi Aceng Sambas, Aceng Adiatmika, I G. Adinata Mas Pratama Agus Selamet Duniaji Anak Agung Gede Maharta Pemayun Anak Agung Gede Oka Kessawa Adnyana Ananta Wijaya Andika, I Gede Irvan Pramanta Andri Ferdiansyah Ari Putra Wijaya Darma Kotama, I Nyoman Devin Gede Herawan Dewa Gede Wahyu Adi Prayoga Duman Care Khrisne Endang Widuri Asih firmansyah maualana sugiartana nursuwars Gede Ardi Herdiana Hernandi, William Hijriatullah, Rizal Umarhandi I Dewa Putu Sutjana I Gede Dyana Arjana I Gst Agung Putu Raka Agung I Gusti Made Bagus Kurniawan I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Priambadi I Gusti Ngurah Wira Partha I Kadek Agus Arta Yasa I Kadek Dwi Arta Saputra I Ketut Gede Suhartana I Made Arsa Suyadnya i made bayu bakti kusuma negara I Made Krisna Dinata I MADE MULIARTA . I Made Oka Widyantara I MADE SUDARMA I Made Sutajaya I N Satya Kumara I N. Lanus I N. Surata I Nyoman Budiastra I Nyoman Budiastra I Nyoman Gunantara I Nyoman Setiawan I Nyoman Sumitra Tanaya I Nyoman Suprapta Winaya I Nyoman Sutarja I P G. Adiatmika I Putu Ari Wijaya I Putu Astya Prayudha I Putu Elba Duta Nugraha I Putu Hardy Sarjana I Putu Sugi Almantara I Putu Sugi Almantara I Putu Wahyu Eka Suryawan I W. A. Wijaya I Wayan Arta Wijaya I Wayan Arta Wijaya I Wayan Bandem Adnyana I WAYAN SANTIYASA I Wayan Sukerayasa I.M. Benny P.W. I.W.A Wijaya Ida Ayu Dwi Giriantari Ida Ayu Sri Adnyani Ida Bagus Adisimakrisna Peling Ida Bagus Adnyana Manuaba Ida Bagus Dwijaya Kesuma Ida Bagus Surya Paramarta Iing . ' Indah Sri Handari Adiputra Indra Christian, Febry Iskandar, Adi Panca Saputra IW Dani Pranata Kheri Arionadi Shobirin Komang Oka Saputra l Gusti Ngurah Janardana Lie Jasa Luh Made Indah Sri Handari Adiputra Made Dinda Pradnya Pramita Made Dwi Mulyawan Made Sudarma Made Sudarma Made Yogi Hendrayanto Maghfirotul Iffah Mariani, Fitri Muliarta, I M. N Utami Wedanti Ngakan Putu Satriya Utama Ngakan Putu Satrya Utama Ngurah Yowana Asta Prawangsa Ni Wayan Sri Ariyani Ni Wayan Sri Aryani Nurul Hiron, Nurul Oka Saputra, Komang Ontoseno Penangsang Pande Ketut Sudiarta, Pande Ketut Pande Made Agus Yudi Adnyana Philipus Novenando Mamang Weking Pratolo Rahardjo Prihastini, Komang Angga Putu Aryasuta Wicaksana Putu Widiadnyana ., Putu Widiadnyana Putu Wira Buana R.S. Hartati Rukmi Sari Hartati Salmon, Ersa Agnes Sedana, I Made Bagus Ambara Shofa, Rahmi Sugirianta, Ida Bagus Ketut Susy Purnawati Tjok Gede Indra Partha Triwayuni, I Gusti Ayu Wahyudin Wahyudin Wayan Gede Ariastina Wayan Gede Ariastina Wibisana Hadi Chandra Widyadi Setiawan Yoga Divayana Yogiswara Dharma Putra Yogiswara Dharma Putra