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Android-based System Monitoring of Supporting Variables for Nursery-Plant Growth in Plantation Areas Adis Kusyadi Nugraha; Giva Andriana Mutiara; Tedi Gunawan; Gita Indah Hapsari
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1594

Abstract

In cultivating timber trees, farmers must pay attention to the seed selection with superior heredity, hormones, and the condition of the plantation area that supports the growth of nursery plants properly. Several factors that support the growth of nursery plants are nutritional factors, sunlight, temperature, soil pH, water, and soil moisture. In terms of effectiveness and ease of access to information in monitoring the supporting condition factors and facilitating the farmers, an Android-based monitoring system was built to monitor the growth of nursery plants. The system consists of several sensors, such as a soil pH sensor, UV light sensor, and soil moisture sensor embedded with Raspberry pi and firebase. The proposed system was examined on a plantation area of 900 square meters. The testing is conducted by placing a combination of 4 to 8 sensors in the plantation area. Data from each sensor is processed by calculating the average, and the results are rounded to the nearest value. The test stated that to monitor an area of 900 square meters, the area with five sensors implanted can be used as the optimal implementation. Apart from economic reasons, the minor rounding error equals 8.25% compared to the number of other sensors. The results that are informed to the farmers are also within the appropriate range. There are no significant differences, and this approach can be used to implement in a broader area
Perancangan dan Implementasi Modul Praktikum Gita Indah Hapsari; Giva Andriana Mutiara; Rini Handayani
JURNAL INFOTEL Vol 7 No 1 (2015): May 2015
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v7i1.26

Abstract

Kemajuan teknologi berbasis komputer berkembang dengan sangat pesat. Seiring dengan perkembangan jaman, kemajuan tersebut memberikan pengaruh terhadap perubahan cara penyampaian pengajaran yang mengarah pada penggunaan jenis media penyampaian. Praktikum merupakan salah satu bentuk pengajaran yang memberikan pengalaman belajar secara nyata terhadap kondisi sebenarnya di lapangan mengenai penggunaan dan implementasi alat praktek yang berhubungan dengan berbagai materi yang dipelajari oleh mahasiswa dan memiliki tujuan untuk memberikan keterampilan dan pengenalan terhadap mahasiswa/peserta didik. Penelitian ini melakukan implementasi teknologi augmented reality terhadap salah satu modul praktikum yaitu pengenalan tata letak hardware dan Port I/O pada motherboard dan bertujuan sebagai alat bantu penyampaian pengajaran praktikum. Pengimplementasian teknologi augmented reality melibatkan aksi oleh user terhadap media penangkapan gambar motherboard menggunakan web camera dan tampilan pemetaan tata letak hardware dan port i/o pada motherboard. Penelitian telah diimplementasikan dan diujicoba terhadap 3 kelas dengan 97 responder. Adapun hasil dari penelitiannya adalah 83% responder menyukai aplikasi, 77% memahami materi, 84,5% menginginkan aplikasi ini menjadi alat bantu ajar, 65,98% meminta materi untuk dilengkapi dan diperbanyak, 77,3% dapat belajar mandiri menggunakan aplikasi ini, tanpa bantuan dari dosen ataupun asisten.
Dental health education game based-on IRVO model in augmented reality technology Gita Indah Hapsari; Giva Andriana Mutiara; Roy Chaidir
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.760

Abstract

Public Dental health must be maintained from an early age. However, it is not easy to make the children interested, understand, and aware of dental health. This paper discussed alternative methods for educating the children using IRVO model in augmented reality technology-based educational games. The game was built from several materials consisting of dental health education recommended by the dentist. Some of the interactions represented in the game application consist of point of view, selection and release, event creation, and manipulation. This educational game is implemented using the 3DS Max and D-Fusion Studio. This game has been approved for counsellors such as dentists, nurses, community health workers, and children. According to the resulting test, more than 75% of the dentists and children are interested in using this game and declared that they could use this application easily.
Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation Gita Indah Hapsari; Giva Andriana Mutiara; Muhammad Rizky Alfarisi; Lisda Meisaroh; Fanny Husnul Hanifa; Ramadhanu Putra; Dimas Salim; Aris Pujud Kurniawan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.1956

Abstract

Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator.  This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.
Vicinity Monitoring of Military Vehicle Cabin to Improve Passenger Comfort with Fusion Sensors and LoRa RFM95W Fadillah, Wildan Muhammad Yasin; Mutiara, Giva Andriana; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Robotics and Control (JRC) Vol 5, No 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.21600

Abstract

The application and utilization of technology to measure the level of comfort in mass-produced vehicles, including military vehicles, is constantly evolving. Currently, the testing of comfort parameters is carried out manually through human-driven test drives. Thus, the range of variability in measurements is extensive as it depends on the subjective experiential indications of experts.  This research utilizes KY-037 sensor to measure noise level and BME280 sensor fusion to detect temperature, air pressure, humidity, and altitude.  These parameters have a significant impact on passenger comfort inside the passenger cabin of military vehicles. This project included involves the development of LoRa-based communication medium using RFM95W technology. The system has extensive performance testing inside the passenger cabin of a military vehicle on various test area tracks. The test results indicate that the system is capable of accurately reading the KY-037 sensor, with a range of 80 - 141 dB depending on the tracks. The BME280 sensor consistently measures a temperature of 36,98°C, altitude readings ranging from 667-677 meter above sea level, maintaining a stable air pressure of 955.35 hPa, and measuring the lowest humidity level in the vehicle cabin at 24.34%. The LoRa technology possesses remarkable to extend the communication range, even in challenging environments, reaching distances over 2 kilometers. The response time for data sent in web-based applications consistently remains below 1 second. Thus, this system can assist experts in enhancing cabin passenger comfort standards by narrowing the range and making it more measurable.
Improving the Productivity of Laying Hens Through a Modern Cage Cleanliness Monitoring System that Utilizes Integrated Sensors and IoT Technology Ishak, Fauzi; Wardhana, Ichlasul Amal Restu; Mutiara, Giva Andriana; Periyadi, Periyadi; Meisaroh, Lisda; Alfarisi, Muhammad Rizqi
Journal of Robotics and Control (JRC) Vol 5, No 4 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i4.21610

Abstract

Animal husbandry plays a crucial role in the Indonesian economy. One example is layer farming. The cage's environmental conditions can have an impact on the health of laying hens, including factors like temperature, humidity, and the presence of ammonia gas. This research aims to support chicken farmers in identifying and monitoring the environmental conditions surrounding their chicken coops, with the goal of enhancing the productivity of laying hens. This study is organized using a prototype development approach. The proposed system utilizes Arduino UNO as a microcontroller, ESP32 as a connecting node from hardware to software, MQ-135 sensor as an ammonia gas sensor, DHT-22 sensor as a temperature and humidity sensor, and 16x2 I2C LCD to display the collected data. WIFI connected web monitoring system built with Laravel, MySQL, and Bootstrap. An improvement to the existing system is the integration of an ammonia gas odor sensor calibrated against clean air as a reference. Testing was conducted for a continuous period of 7 days. Comparison of test results is performed with existing devices to observe the difference in measured values. The measurement result demonstrates a remarkable ability to accurately measure temperature, humidity, and ammonia levels in the air. The difference with the comparable device was about 2%.  Meanwhile, the monitoring dashboard for IoT functional monitoring operates effectively, allowing chicken farmers to efficiently analyze the cleanliness of their chicken coops. All measurement parameters are conveniently recorded in the form of tables and graphs, providing valuable information.
Pelatihan Simulator IoT untuk Siswa SMK Nasional bandung Hendrarini, Nina; Mutiara Andriana, Giva; Ryana Suchendra, devie
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 1 No. 3 (2023): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v1i3.6138

Abstract

Pengabdian masyarakat ini diselenggarakan kepada siswa SMK Nasional Bandung dengan tujuan memperkenalkan dan mengajarkan konsep Internet of Thing (IoT). Pelatihan ini dilaksanakan dengan diawali penjelasan tentang teori IoT, terutama manfaat dan implementasi pada saat wabah Covid berjangkit. Teori yang disampaikan mencakup pengenalan tentang IoT, perangkat keras yang umumnya diintegrasikan dengan sistem ini dan perangkat lunak yang digunakan dalam IoT, serta protokol komunikasi dalam IoT. Kegiatan kemudian dilanjutkan dengan praktikum pembuatan alat otomatis berbasis sensor dan mikrokontroller Arduino. Kegiatan ini bertahap dan direncanakan akan berlanjut pada program pengabdian masyarakat selanjutnya. Hasil dari pengabdian masyarakat ini diharapkan dapat memperluas wawasan berpikir siswa SMK dalam meningkatkan kompetensi mereka dalam bidang IoT. Hal ini dikarenakan teknologi ini ke depannya banyak dibutuhkan di masyarakat.
Vicinity Monitoring of Military Vehicle Cabin to Improve Passenger Comfort with Fusion Sensors and LoRa RFM95W Fadillah, Wildan Muhammad Yasin; Mutiara, Giva Andriana; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Robotics and Control (JRC) Vol. 5 No. 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.21600

Abstract

The application and utilization of technology to measure the level of comfort in mass-produced vehicles, including military vehicles, is constantly evolving. Currently, the testing of comfort parameters is carried out manually through human-driven test drives. Thus, the range of variability in measurements is extensive as it depends on the subjective experiential indications of experts.  This research utilizes KY-037 sensor to measure noise level and BME280 sensor fusion to detect temperature, air pressure, humidity, and altitude.  These parameters have a significant impact on passenger comfort inside the passenger cabin of military vehicles. This project included involves the development of LoRa-based communication medium using RFM95W technology. The system has extensive performance testing inside the passenger cabin of a military vehicle on various test area tracks. The test results indicate that the system is capable of accurately reading the KY-037 sensor, with a range of 80 - 141 dB depending on the tracks. The BME280 sensor consistently measures a temperature of 36,98°C, altitude readings ranging from 667-677 meter above sea level, maintaining a stable air pressure of 955.35 hPa, and measuring the lowest humidity level in the vehicle cabin at 24.34%. The LoRa technology possesses remarkable to extend the communication range, even in challenging environments, reaching distances over 2 kilometers. The response time for data sent in web-based applications consistently remains below 1 second. Thus, this system can assist experts in enhancing cabin passenger comfort standards by narrowing the range and making it more measurable.
Smart brake pad early warning system: enhancing vehicle safety through real-time monitoring Fauzi, Afif Syam; Mutiara, Giva Andriana; Alfarisi, Muhammad Rizqy; Gunawan, Tedi; Rifqi Zain, Muhammad Aulia
Computer Science and Information Technologies Vol 6, No 2: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i2.p122-135

Abstract

A contributing factor to traffic accidents is brake pad failure, which diminishes braking system performance and extends braking distance. This work develops a prototype utilizing internet of things (IoT) to measure brake pad thickness, hence enhancing driver awareness through real-time monitoring. The system establishes the thickness detection threshold at 75% (3-4 mm) and 50% (5–6 mm) as a cautionary parameter. The thickness parameter employs an American wire gauge (AWG) 18 cable to connect to the ESP32 microcontroller. The web-based IoT monitoring interface employs Laravel. This method enables drivers to get prompt notifications regarding the decrease in brake pad thickness, hence permitting urgent preventative maintenance to mitigate the risk of accidents. The system underwent testing through friction at a rotational speed of 600 to 6,000 rpm. The test findings indicated that the sensor precisely measured the brake pad thickness with a prototype response time of a second. This system is suitable for implementation on old model vehicles that do not have an early warning system. The installation of this technology is anticipated to enhance driver knowledge of the state of the brake pads, hence potentially diminishing the danger of brake system failure caused by unmonitored pad wear.
BHMI: A Multi-Sensor Biomechanical Human Model Interface for Quantifying Ergonomic Stress in Armored Vehicle Mutiara, Giva Andriana; Adiluhung, Hardy; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 3 (2025): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i3.877

Abstract

Ergonomic stress inside armored military vehicles presents a critical yet often overlooked risk to soldier safety, operational effectiveness, and long-term health. Traditional ergonomic assessments rely heavily on subjective expert evaluations, failing to capture dynamic environmental stressors such as vibration, noise, thermal fluctuations, and gas exposure during actual field operations. This study aims to address this gap by introducing the Biomechanical Human Model Interface (BHMI), a multi-sensor platform designed to objectively quantify ergonomic stress under operational conditions. The main contribution of this work is the development and validation of BHMI, which integrates anthropometric human modeling with embedded environmental sensors, enabling real-time, multi-dimensional ergonomic data acquisition during vehicle maneuvers. BHMI was deployed in high-speed off-road vehicle operations, simulating the 50th percentile Indonesian soldier’s seated posture. The system continuously monitored vibration (0–16 g range), noise (30–130 dB range), temperature (–40°C to 80°C), humidity (0–100% RH), and gas concentration (CO and NH₃) using calibrated, field-hardened sensors. Experimental results revealed ergonomic stress levels exceeding human tolerance thresholds, including vibration peaks reaching 9.8 m/s², cabin noise levels up to 100 dB, and cabin temperatures exceeding 39°C. The use of BHMI improved the repeatability and precision of ergonomic risk assessments by 27% compared to traditional methods. Seating gap deviations of up to ±270 mm were identified when soldiers wore full operational gear, highlighting critical areas of postural fatigue risk. In conclusion, BHMI represents a novel, sensor-integrated approach to ergonomic evaluation in military environments, enabling more accurate design validation, reducing subjective bias, and providing actionable insights to enhance soldier endurance, comfort, and mission readiness.