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All Journal Academic Journal of Computer Science Research (AJCSR) Engineering Science Letter Jurnal Pengabdian West Science Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA) Eksplorasi Teknologi Enterprise & Sistem Informasi (EKSTENSI) Jurnal Pengabdian Masyarakat Singa Podium (JPMSIPO)
Kurnia, Mega Tri
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences

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Journal : Sistem Komputer

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Rancang Bangun Alat Ekstraksi Ideal Menakar Kopi Berbasis Mikrokontroler ATMega2560 Haidir, Asril Tito; Kurnia, Mega Tri; Saputro, Joko
Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December
Publisher : FIKOM Universitas Bung Karno

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59039/sikomtia.v1i3.21

Abstract

Coffee is a delightful and popular beverage with various flavor variations. The quality of coffee plays a pivotal role in influencing its taste and aroma. In an effort to enhance coffee quality, this research aims to design and implement a coffee extraction device based on microcontroller technology. Achieving the ideal coffee extraction quality involves factors such as time and temperature. Conventional coffee extraction devices have limitations in consistently controlling these factors. Therefore, the use of microcontrollers as a medium for coffee extraction promises more precise control. This study adopts a hardware and software development approach. Experimental tests, using baristas as samples, were conducted to assess the effectiveness of this device in measuring various types of coffee from Aceh, Toraja, and Flores. Parameters related to taste and aroma were evaluated to measure the extent to which the coffee extraction device could produce extractions that align with the expected flavor standards for coffee enthusiasts. This research successfully implemented an automated coffee measurement function with precision. Test results indicated that this device consistently produces coffee extractions with 98% consistency. In conclusion, this study illustrates the potential of microcontroller-based applications in enhancing the ideal coffee measurement quality. With more precise control, this device assists in creating optimal extraction conditions to achieve the desired flavor for coffee enthusiasts. This potential has a positive impact on elevating the quality of the coffee industry.
Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino Akbar, Firman Aulia; Kurnia, Mega Tri; Sarimole, Frencis Matheos
Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December
Publisher : FIKOM Universitas Bung Karno

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59039/sikomtia.v1i3.22

Abstract

In the era of rapidly developing technology, the integration between body and technology becomes real, especially in the development of human and computer interaction. This research focuses on creating prototypes of motion imaging tools using microcontroller technology, responding to the need for more intuitive interactive tools in translating human movements. Using hardware and software engineering approaches, this study designed and tested a tool consisting of Gyrometer and Flex sensors. The gyrometer measures the orientation of motion, while  the Flex sensor  detects the curvature of the gesture. Tests include calibration between sensors, integration with the  HC-05 Bluetooth transmission module as a wireless communication medium, and applications installed on smartphones as   processing output information  . The study introduced a method of gesture imaging of gestures, providing a solution to interact with computers more naturally. The urgency of this research answers the need to help translate human movement into digital input. The modeled tool is able to detect hand gestures with good accuracy. The smartphone as an output successfully displays information in the form of text and voice based on detected movements. This gesture model motion imaging tool successfully passed the testing stage, showing the effective results of the Gyrometer and Flex sensors   in detecting and translating hand movements. The Bluetooth module as a data transmitter runs well sending data to an application on the smartphone, which then displays the information accurately.
Co-Authors Akbar, Firman Aulia Alexius Ulan Bani Aliviyudin, Muhamad Yunus Balogun, Shuaibu Alani Didik Suhariyanto Fauziyah Fifto Nugroho Firman, La Ode Mohammad Haidir, Asril Tito Herdiani, Febri Dolis Ihwan Ghazali Iskandar Zulkarnain Prambodo, Yoga Listi Qoyyimah, Lulu Dinnul Ridwan Usman Saputro, Joko Sarimole, Frencis Matheos Syamsu Marlin Valentine, Hany Maria Whendasmoro, Raditya Galih