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Analisis Penerimaan Aplikasi Hadir Sebagai Media Absensi Pada PT. Baliyoni Saguna Menggunakan Technology Acceptance Model I Gusti Agung Made Yoga Mahaputra; Ida Bagus Alit Swamadika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P20

Abstract

The era of globalization brings changes to all aspects of humanity. The development of inforamation/technologys encourages people/touse the/technology/to be able to keeping up with time, use of online attendance system technology by PT. Baliyoni Saguna. Therefore, its necessary to analyze the aceptance/of informationitechnology to examine whether the attendance technology used is acceptable and what factors influence the acceptance. One method to assess the aceptanceiofthe information technology is/the Technnology/Aceptance Modelsp(TAM). In this/studys, an analysis/will be carrieded/out on the acceptance ofithe attendance system technology used by PT. Baliyoni Saguna using the TAM method. The research was conducted by taking questionnaire data containing clauses from the TAM method from 75 Baliyoni employees. From the test results, validation and reliability tests were carried out where all data could be said to be valid and very reliable. Testing the relationship between TAM variables shows that all data havea a/posiitive influences/on attendance where the value of the t-statistical test is > 0.2272 and is significant where the p-value of all test data is < 0.05. The indicator that has/a major influence on/the/acceptance/of this attendance system is perceiveds/ease of/use which has t-statistic of/38,221.
Rancang Bangun Sistem Keamanan Sepeda Motor Dengan GPS Tracker Berbasis Mikrokontroler dan Aplikasi Android I Gusti Agung Made Yoga Mahaputra; I G A Putu Raka Agung; Lie Jasa
Jurnal Teknologi Elektro Vol 18 No 3 (2019): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2019.v18i03.P09

Abstract

Abstract— The motorcycle is one of the most widely used types of transportation in Indonesia. The disadvantage of the motor currently lies in its safety. Motorcycle security system with a Microcontroller-based GPS Tracker and an Android Application function to monitor and control the motorcycle through the Android application. Security system testing with three main tests. Testing of motorcycle safety equipment is done by testing each module. Android application testing is done by running the monitoring and control functions. Testing the communication with the application is done by sending commands from the smartphone to the device. The system can run all commands. Motorcycle safety devices can communicate with Android applications and can detect coordinates. The Simcard operator affects the network installation time on the SIM900A module where Telkomsel has a speed of 6 seconds, M3 has 31 seconds and XL has 310 seconds. There is a difference between the reading value between the actual distance of the motorcycle and the distance of the motorcycle to the instrument reaching 4 meters. Keywords — GPS NEOM8N, Motorcycle, Security System, SIM900A.
Analisis Penerimaan Aplikasi Hadir Sebagai Media Absensi Pada PT. Baliyoni Saguna Menggunakan Technology Acceptance Model I Gusti Agung Made Yoga Mahaputra; Ida Bagus Alit Swamadika; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P20

Abstract

The era of globalization brings changes to all aspects of humanity. The development of inforamation/technologys encourages people/touse the/technology/to be able to keeping up with time, use of online attendance system technology by PT. Baliyoni Saguna. Therefore, its necessary to analyze the aceptance/of informationitechnology to examine whether the attendance technology used is acceptable and what factors influence the acceptance. One method to assess the aceptanceiofthe information technology is/the Technnology/Aceptance Modelsp(TAM). In this/studys, an analysis/will be carrieded/out on the acceptance ofithe attendance system technology used by PT. Baliyoni Saguna using the TAM method. The research was conducted by taking questionnaire data containing clauses from the TAM method from 75 Baliyoni employees. From the test results, validation and reliability tests were carried out where all data could be said to be valid and very reliable. Testing the relationship between TAM variables shows that all data havea a/posiitive influences/on attendance where the value of the t-statistical test is > 0.2272 and is significant where the p-value of all test data is < 0.05. The indicator that has/a major influence on/the/acceptance/of this attendance system is perceiveds/ease of/use which has t-statistic of/38,221.
Rancang Bangun Penerjemah BISINDO Real-time Berbasis Kamera dan Deep Learning dengan Kendali Suara ESP32 WiFi I Gusti Agung Made Yoga Mahaputra; Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6578

Abstract

Indonesian Sign Language (BISINDO) serves as the primary means of communication for the deaf community. However, limited public understanding and the lack of practical real-time translation technology remain significant barriers to effective two-way communication. Most prior research has focused on foreign sign languages or relied on sensor-based gloves, which are less flexible for everyday use. This study proposes a real-time BISINDO translation system that converts hand gestures into speech using a camera and an ESP32 microcontroller. The system employs a CNN-LSTM deep learning model implemented in Python to classify gestures representing letters A to J, then wirelessly transmits the classification results to the ESP32, which triggers the corresponding audio output. A custom gesture dataset was collected and enhanced through preprocessing and data augmentation to support model training. Evaluation results demonstrate a classification accuracy of 91.4%, with a precision of 89.7%, recall of 90.5%, and F1-score of 89.9%. The average communication latency was recorded at 3.1 seconds, and the speech output success rate reached 86.7%. The system has proven reliable for real-time automatic gesture-to-speech translation and holds potential for further development as an inclusive communication aid for individuals with hearing impairments in Indonesia. This study serves as an initial foundation for future advancements in assistive communication technologies.