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Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA)
Published by Universitas Bung Karno
ISSN : -     EISSN : 29648602     DOI : https://doi.org/10.59039/sikomtia
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA) diterbitkan enam bulanan pada bulan Juni dan Desember oleh FIKOM, Universitas Bung Karno. Jurnal SIKOMTIA bertujuan untuk mempublikasikan penelitian terkini dalam bidang sistem komputer dan teknologi kecerdasan buatan. Jurnal ini menyediakan wadah bagi para peneliti, akademisi, dan profesional untuk berbagi pengetahuan, gagasan, dan inovasi terkait pengembangan sistem komputer dan aplikasi kecerdasan buatan. Ruang lingkup SIKOMTIA meliputi topik-topik seperti pemrosesan bahasa alami, pengenalan pola, pengolahan citra, robotika, jaringan saraf tiruan, logika fuzzy, sistem ekspert, dan pengoptimalan algoritma. Melalui publikasi yang berkelanjutan akan mendorong perkembangan dan pemahaman yang lebih baik tentang implementasi teknologi komputer dan kecerdasan buatan yang relevan dengan kebutuhan masyarakat dan industri. Artikel yang diterbitkan ditinjau secara double-blind. Keputusan untuk menerima atau tidak adalah hak dewan redaksi berdasarkan rekomendasi peninjau.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 24 Documents
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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.
Optimalisasi Alat Monitoring Tetes Infus Kristaloid Berbasis Mikrokontroler ATMega328 Mokodompit, Hudi Prayoga; Asruddin, Asruddin; Abdillah, Junindo
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.v1i3.23

Abstract

In the medical world, supervision of intravenous devices is a priority and the main one to ensure proper and measurable fluid delivery to patients. This research focuses on the development of a crystalloid infusion drip monitoring device using a microcontroller. The background of this research arises from the need for a device that is able to monitor drip infusions automatically, reduce the workload of medical personnel and increase patient safety. The methods used in this study include designing, manufacturing, and testing on tools. Photodiode sensors are selected as the main component in detecting drops of crystalloid liquid. This tool is designed to optimize other supporting sensors to be integrated as instruction modules in counting infusion fluid drops. The application of microcontroller technology in affordable infusion monitoring devices has not been widely adopted in medical practice. This research is driven by the need for reliable monitoring tools in a fast-paced medical environment and requires precision. The results of this study showed that the developed tool succeeded in optimizing the function of the photodiode sensor in counting drops of 99% crystalloid liquid produced accurately. This tool is able to operate in accordance with its original purpose, namely as a monitoring tool as well as a reminder for patient safety. The conclusion is that this microcontroller-based crystalloid infusion drip monitoring device is an innovation and good practice in the medical field. This tool not only increases efficiency in infusion monitoring but also provides additional safety for patients.
Desain dan Realisasi Alat Ukur Kadar CO2 Portabel dengan Notifikasi Suara Berbasis Mikrokontroler Arduino Nuryanto, M; Babys, Rosalia Maria; Marlin, Syamsu
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.v1i3.24

Abstract

Increasing levels of carbon dioxide (CO2) in the environment is a global issue that has an impact on climate change and air quality. Easily accessible CO2 measurement is important for monitoring and mitigating these impacts. This research aims to design and realize a portable CO2 level measuring instrument with sound notifications, using an Arduino microcontroller. The method used in this study is the development of microcontrollers. CO2 analyzers are designed using CO2 sensors, microcontrollers and sound output modules. Data processing and calibration are performed to ensure measurement accuracy. Tests are conducted at various locations to assess the performance of the tool in real conditions. This portable device is integrated with an audible notification system that provides immediate alerts to users when CO2 levels exceed unnatural limits. Concern for urban communities efforts to increase awareness and response to adverse air conditions, especially in open spaces and urban environments. The results showed that portable CO2 analyzers were able to measure CO2 levels with good accuracy according to the specifications of the components used. The sound notification system works to provide alerts in various conditions. Portability, ease of use make this tool useful for individuals and simple to carry to monitor and respond to changes in air quality.

Page 3 of 3 | Total Record : 24

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