Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA)
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.
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<![CDATA[Penerapan Metode Color Based Detection Menggunakan Platform ESP32-Cam Sebagai Alat Pendeteksi Ikan Betta Varian Albino ]]>
<![CDATA[Ardiansyah, Fahmi]]>;
<![CDATA[Prambodo, Yoga Listi]]>;
<![CDATA[Iswidodo, Iswidodo]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.17
<![CDATA[This research aims to overcome the problems that arise in identifying Betta fish variants, especially Albino variants, which are often difficult to distinguish by ordinary people due to difficulties in distinguishing visual differences. This problem encourages the need to develop a tool that is able to automatically distinguish Betta Albino fish variants. This research presents the concept of implementing the ESP32-Cam platform as a Betta Albino fish variant detection tool. The novelty of this research lies in the use of the ESP32-Cam platform which is an innovation as a detection tool. The urgency of this research lies in the need for a tool that can help ordinary people in identifying Betta Albino fish variants easily without requiring knowledge of Betta fish species. The method used in this research is colour-based detection using the eloquent surveillance library. The image capture process is done through an ESP32-Cam camera by utilising the concept of object detection and image processing. This research also involves the application of components such as TCS 3200, LM393, and LCD 1602 I2C to support the function of the detection tool. The results show that the Betta Albino fish variant object detection device is able to identify colour differences accurately. Through the ESP32-Cam platform, this tool successfully creates an automated solution that can distinguish Betta Albino fish variants well. In conclusion, this study confirms that the use of the ESP32-Cam platform in designing the Betta Albino fish variant detection tool can be practically applied. This tool has the potential to contribute in facilitating the accurate identification of Betta Albino fish variants to the general public.]]>
<![CDATA[Rancang Bangun Alat Sortir Jeruk Medan Berdasarkan Luas Lingkar Berbasis Mikrokontroler ATMega2560 ]]>
<![CDATA[Ginting, Yafet Nikolas]]>;
<![CDATA[Abdillah, Junindo]]>;
<![CDATA[Sarimole, Frencis Matheos]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.18
<![CDATA[The increasing demand in the agricultural sector demands efficient fruit sorting solutions. This study considered the design and implementation of a orange fruit sorter combining ultrasonic sensor technology, servo motor, and infrared proximity. This tool aims to measure small to large dimensions of orange fruits. The use of infrared proximity aims to counter the fruit in each path where the orange runs to its container, and then the calculated information is displayed on the LCD screen to provide clear information for farmers. The main advantage of this tool is its ability to automatically classify orange fruits by size and amount. The integration of ultrasonic sensors and infrared proximity provides accuracy in distance measurement and fruit counting. This tool innovation provides unprecedented solutions and potential in orange fruit sorting, and can increase productivity in the agricultural industry. This research uses a technology design and implementation approach by integrating ultrasonic sensors, servo motors, IR proximity, on microcontrollers. The designed tool is able to classify orange fruits automatically by size and number. The design of this orange sorter promises to increase efficiency in the agricultural industry. The implementation of sensor technology and automation systems has the potential to provide the right solution for fruit sorting needs.]]>
<![CDATA[Rancang Bangun Alat Monitoring Stamina Atlet Basket Menggunakan Mikrokontroler Berbasis Internet Of Things ]]>
<![CDATA[Rumata, Awaluddin Magain]]>;
<![CDATA[Marlin, Syamsu]]>;
<![CDATA[Harjono, Prawiro]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.19
<![CDATA[In this study discussed the importance of regulating stamina and heartbeat in basketball athletes, this device was designed to reduce the risk of fatalities in players to the end of death. To see the performance of the tool can be seen from some indicators about the stamina monitoring tool that can help to enhance the potential of players in preparing for the upcoming game, as well as can help the coach design the game strategy. The aim of this study is to look at the success of stamina monitoring devices designed for coaches, basketball athletes, and medical teams. The research methods used in this research are by collecting data through books and other literature, performing hardware design to explain schematic processes on tools as well as streams, and performing software design to describe schematical processes as tool commands. Based on the highest elevation data obtained to see the detected heart rate is at 60 and the lowest figure is at 44. It is expected that the subjects will be able to apply methods of exercise that can improve the stamina of basketball athletes.]]>
<![CDATA[Rancang Bangun Alat Pendeteksi Keaslian Batu Bacan Doko Berbasis Mikrokontroler ATMega2560 ]]>
<![CDATA[Alhamid, Umar Djafar]]>;
<![CDATA[Prambodo, Yoga Listi]]>;
<![CDATA[Asruddin, Asruddin]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.20
<![CDATA[This research designed and developed a tool to detect the authenticity of Bacan Doko. The development of this tool uses TCS3200 sensor components as a detection of color variations in stones, BH1750 sensors to measure light intensity, and LCD1602 to display information on stone detection results visually. This study aims to overcome the problem of identifying the authenticity of Bacan Doko stones which are often difficult to detect accurately by ordinary people who do not understand the world of gemology, which results in the existence of fake stones on the market. The presence of this tool provides innovation in the world of gemology by utilizing microcontroller and sensor technology to overcome the authentication problem of Bacan Doko stone accurately, and support the integrity of the gemstone market. The development of data processing algorithms is carried out to analyze and process information received from input values on sensors. The detection tool provides good results to recognize and distinguish genuine Bacan Doko stones based on the color characteristics of the sensor identification results TCS3200 taking into account the light intensity measured by the BH1750 sensor and information can be displayed clearly through the LCD screen. The development of this tool successfully proved its effectiveness in identifying the authenticity of Bacan Doko stone. This tool can be a reliable solution for traders and gemstone observers in ensuring the authenticity of Bacan Doko.]]>
<![CDATA[Rancang Bangun Alat Ekstraksi Ideal Menakar Kopi Berbasis Mikrokontroler ATMega2560 ]]>
<![CDATA[Haidir, Asril Tito]]>;
<![CDATA[Kurnia, Mega Tri]]>;
<![CDATA[Saputro, Joko]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.21
<![CDATA[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.]]>
<![CDATA[Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino ]]>
<![CDATA[Akbar, Firman Aulia]]>;
<![CDATA[Kurnia, Mega Tri]]>;
<![CDATA[Sarimole, Frencis Matheos]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.22
<![CDATA[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.]]>
<![CDATA[Optimalisasi Alat Monitoring Tetes Infus Kristaloid Berbasis Mikrokontroler ATMega328 ]]>
<![CDATA[Mokodompit, Hudi Prayoga]]>;
<![CDATA[Asruddin, Asruddin]]>;
<![CDATA[Abdillah, Junindo]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.23
<![CDATA[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.]]>
<![CDATA[Desain dan Realisasi Alat Ukur Kadar CO2 Portabel dengan Notifikasi Suara Berbasis Mikrokontroler Arduino ]]>
<![CDATA[Nuryanto, M]]>;
<![CDATA[Babys, Rosalia Maria]]>;
<![CDATA[Marlin, Syamsu]]>
<![CDATA[ Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) Vol. 1 No. 3 (2023): December ]]>
Publisher : <![CDATA[FIKOM Universitas Bung Karno ]]>
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DOI: 10.59039/sikomtia.v1i3.24
<![CDATA[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.]]>
