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All Journal Jurnal Teliska Jurnal technoscientia Jurnal Informatika dan Teknik Elektro Terapan PROtek : Jurnal Ilmiah Teknik Elektro INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Indonesian Journal of Artificial Intelligence and Data Mining Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science JURNAL TEKNOLOGI TECHNOSCIENTIA Best : Journal of Applied Electrical, Science and Technology Jurnal Nasional Teknik Industri, Sistem Informasi dan Teknik Informatika
Martinus Mujur Rose
Unknown Affiliation
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Designing Tracking Devices And Controls On Motor Vehicles Using GPS Integrated Internet Of Things Aprillah, M Dandy; Nasron, Nasron; Rose, Martinus Mujur
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 1 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i1.2236

Abstract

Motorcycles are one of the objects that are very prone to be stolen, anticipation of theft is not enough just to install a safety lock, but it needs to be equipped with monitoring and controlling systems to reduce theft of motorcycles because motorcycles aregenerally not equipped with GPS (Global Positioning System). In this final task, a Tracking Device or tracking tool is designed that can work in IoT. IoT (Internet of Things) is a computational concept of everyday objects connected to the internet and able to identify themselves to other devices. NodeMCU ESP8266 and Android smartphone are used as tracking device controller components. The signal or data obtained in the form of vehicle position coordinate data can be seen in googlemaps, and this tool is equipped with a relay that serves as a switch to turn the stolen motor on or off remotely. The test result of this tool, the user can control the motor from a very long distance as long as the deviceand the user still get internet access, the user can only give one command every 15 seconds, be it a command asking for the coordinates of the position of the vehicle or a command to turn off the motor
Application of Polynomial Regression Method in Non-invasive Measurement of Blood Sugar, Cholesterol, and Non-invasive Uric Acid Based on IoT Rahmadaniar, Desi; Salamah, Irma; Rose, Martinus Mujur
invotek Vol 24 No 3 (2024): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v24i3.1264

Abstract

Early disease avoidance depends much on health monitoring. However, the general examination methods still used today are invasive, namely, using a syringe to take blood samples. Many do not undergo routine examinations because this method is uncomfortable and expensive. In this study, the MAX30105 optical sensor is used as a non-invasive measuring device that can read the reflection of infrared light from the fingertip. After that, the second-order polynomial regression method is used to process the sensor data and determine the blood sugar, cholesterol, and uric acid levels. Using calibration data, this tool will change the reflected light signal into numbers for these three substances. The quantitative experimental method was conducted on 15 participants, The quantitative experimental method was carried out on 15 participants, the test results showed that blood sugar levels reached 91.50%, cholesterol levels reached 86.07%, and uric acid levels reached 89.33%. Real-time data transmission is carried out through the Adafruit IO platform, which was chosen for its accessibility and ease of integration. At the same time, a mobile application was developed using MIT App Inventor for user-friendly health data visualization. A preliminary Quality of Service (QoS) assessment showed an average data latency of 500–700 ms and a 97% transmission success rate via Wi-Fi. These results indicate that this device is reasonably practical and comfortable. However, several factors, such as skin thickness, finger position, and skin cleanliness, can affect the accuracy of the measurement results. Therefore, this tool cannot yet replace regular medical standards.
RANCANG BANGUN PENDETEKSI DEHIDRASI MANUSIA BERDASARKAN WARNA URINE BERBASIS INTERNET OF THINGS (IOT) Picara, Deya tasya; Zefi, Suzan; Rose, Martinus Mujur
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5329

Abstract

In the current technological era, the Internet of Things (IoT) provides creative fixes for numerous health problems. The purpose of this research is to design and construct a urine color analysis system that uses the Internet of Things to identify human dehydration. Urine color is precisely measured and analyzed by the system using color and pH sensors. Data is then sent over an internet connection to a cloud-based platform.The urine color analysis results will be compared to accepted medical standards as part of the processing of the gathered data to ascertain the user's bodily hydration level. This system has a Blynk app-based user interface that offers proper hydration recommendations and real-time information about the user's level of hydration. It is anticipated that by putting this system in place, users will be able to efficiently check their level of hydration and take precautions to avoid being dehydrated. This research offers a more approachable and cost-effective method of managing one's own health in addition to aiding in the development of Internet of Things-based health technology.
Development Of Fiber Optic Practicum Learning Media Based On Virtual Reality Saputra, Dimas; Mohammad Fadhli; Martinus Mujur Rose
BEST Vol 8 No 1 (2026): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/f9chnw88

Abstract

The rapid development of multimedia technology has encouraged innovation in learning media, particularly for practical-based courses. Fiber optic practicum learning requires direct practice, specialized equipment, and adequate laboratory facilities, which often become constraints, especially during distance learning conditions. This final project aims to develop a virtual reality–based learning media for fiber optic practicum to support students’ understanding of practical procedures in a more interactive and immersive manner.The development process utilizes Blender as a 3D modeling and animation tool to design laboratory environments and fiber optic practicum equipment, including stripper, cleaver, fusion splicer, optical power meter, and fiber optic cables. Verge3D is used to create interactive animations and integrate the models into a virtual reality environment. The learning media simulates key practicum stages, such as cable stripping, cutting, splicing, and attenuation measurement using an optical power meter.The resulting virtual reality learning media allows users to experience fiber optic practicum activities in a simulated laboratory environment as if performing real practices. This media is expected to function as an alternative learning tool that enhances students’ understanding, motivation, and readiness before conducting actual fiber optic practicum in the lab.
Co-Authors Aprillah, M Dandy aryanti aryanti Cahya Iman, Tri Rizki Dwiyanti, Vera Fadhli, Mohammad Ibnu Ziad, Ibnu Indah Nurjanah Indra Satriawan Irma Salamah Lindawati Lindawati Mohammad Fadhli Nasron Nasron Picara, Deya tasya Pridson Mandiangin Rahmadaniar, Desi Ramadhan, Andi Ranti Kartila Rapiko Duri Saputra, Dimas Sopian Soim, Sopian Suni, Gina Amanah suzan zefi Widianty, Anggie Yanziah, Asma Zefi , Suzan