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All Journal International Journal of Electrical and Computer Engineering SMARTek Foristek Techno.Com: Jurnal Teknologi Informasi MEKTRIK Indonesian Journal of Electrical Engineering and Computer Science
Mery Subito
Jurusan Teknik Elektro Fakultas Teknik Universitas Tadulako
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mathematics

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RANCANG BANGUN ALAT PENDETEKSI KONDISI TELUR AYAM BERBASIS MIKROKONTROLER ATMEGA 32 DENGAN SENSOR CAHAYA Afdal Tahir; Mery Subito; Agustinus Kali
Foristek Vol. 9 No. 1 (2019): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.551 KB) | DOI: 10.54757/fs.v9i1.66

Abstract

When consumers buy eggs, consumers should be more careful choosing the egg because there are some eggs that the quality has been decreased or the eggs are damaged and cannot be consumed anymore. This is caused by the length of egg storage time and didn’t have a tool that capable to detect the condition of the egg. People or egg breeders / entrepreneurs habit on looking the quality of eggs still use manual way, as a result it takes a long time because it must select the eggs condition one by one. The purpose of this research is to design and make the detection tool of chicken egg condition with ATmega 32 microcontroller using light sensor, so that the time efficiency and the result of egg selection becomes faster. . The use of tools is very easy and simple so that consumers or breeders / entrepreneurs can use it. Then to simplify and speed up the selection time of chicken eggs breeder or entrepreneur to distinguish good and damaged egg condition.
ALAT PENGUKUR PEMAKAIAN ENERGI LISTRIK MENGGUNAKAN SENSOR OPTOCOUPLER DAN MIKROKONTROLER AT89S52 Mery Subito; Rizal Rizal
Foristek Vol. 2 No. 2 (2012): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

kWh-meter as an each hour electrical energy consumption measurer is still using conventional tools which only recordsthe amount of electrical energy used in each hour. By using AT89S52 microcontroller and optocoupler sensor, the conventional kWhmeter was modified to be a measurer which is not only display s the amount of the used electrical energy but also shows the value of money in rupiahs that should be paid by the customer. The principle of how this system works is PLN as a power source of kWh-meter moves the disc of kWh-meter when it is in the underload condition. When the disc spin and pass the optocoupler sensor, the sensor will turn on. Each time the disc cuts the beam of light, the sensor will instruct the microcontroller, the main controller, to process the execution instruction. This execution instruction results in the reading ofboth a number of rounds per kWh and an amount of rupiahs display ed in LCD.
RANCANG BANGUN ALAT MONITORING PERKEMBANGAN PASIEN PASCA STROKE BERBASIS IoT (INTERNET of THINGS) Selviana Selviana; Mery Subito; Rizana Fauzi; Alamsyah Alamsyah
Foristek Vol. 11 No. 2 (2021): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v11i2.107

Abstract

The design of this IoT (Internet of Things)-based post-stroke patient monitoring tool was built to monitor patient progress remotely. Flex sensor hardware was used to retrieve data from every movement of the patient's finger muscle strength, then processed by the NodeMCU ESP32 after that the data will be sent to the web server via the IoT platform using a local wireless network. The results of research on the development of post-stroke patients can be displayed to a web server in the form of a table plot of data values for the index finger, middle finger, and ring finger. The post-stroke patient monitoring system can be accessed on PC and Android devices. The results of the sample test from the device obtained the highest value of 3.26 MMT and the lowest value of 0.2 MMT so that the patient's finger muscle strength was declared unstable and frequent changes in muscle strength.
RANCANG BANGUN ALAT MONITORING OUTPUT MODUL PLTB (PEMBANGKIT LISTRIK TENAGA BAYU (ANGIN), BERBASIS DATA LOGGER Ajeng Ayu Maike; Rizana Fauzi; Mery Subito; Tan Suryani Sollu; Alamsyah Alamsyah
Foristek Vol. 12 No. 1 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v12i1.141

Abstract

The PLTB module output monitoring system (wind (wind)) is based on a data logger, which in this study was carried out by designing a tool using an INA219 sensor to measure current and voltage, and using Arduino Uno as a data controller and liaison as well as sending the measurement data. sensor to a Laptop whose readings use the PLXdaq application. Based on the research that has been done, this monitoring system shows that it is an efficient and portable monitoring system and PLTB data can be accessed easily via a laptop and can be read directly using the LCD (liquid crystal display). Where the measurement results are in the form of quantities that are in accordance with the measured units such as A (amperes ) for current and V ( voltage ) for voltage, where the results will be displayed through the PLXdaq application in real time. The results of sending current and voltage data on the PLXdaq application have an error that does not exceed 1%.
IMPLEMENTASI ALGORITMA FUZZY PADA SISTEM KONTROL AQUAPONIK PADI Kahfi, Ibnu; Fauzi, Rizana; Subito, Mery; Sollu, Tan Suryani; Alamsyah, Alamsyah
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.580

Abstract

Aquaponics is an agricultural system that combines fish and plant cultivation in one closed system. In an aquaponics system, the water used for fish cultivation is also used to irrigate plants with rice aquaponics as one example. However, monitoring and controlling aquaponic systems is still done manually, which has many shortcomings, including requiring a relatively long time and accuracy that is not guaranteed, especially in large-scale aquaponics management. Implementing the fuzzy algorithm in the rice aquaponics control system aims to make it easier for farmers to monitor the condition of the rice and control the water change system in the pond in real time via the Blynk application on their smartphone. This system combines ESP-32 technology, fuzzy algorithms, and the Internet of Things (IoT) to monitor and control the rice aquaponics system. The results of data collection from the implementation of the fuzzy algorithm in the rice aquaponics control system show that the tool functions well. This tool can monitor the condition of rice and control the water change system in the pond in real time using the Blynk application. The level of accuracy of implementing the fuzzy algorithm for monitoring rice conditions was 99.61% and the accuracy of implementing the fuzzy algorithm for pump control of the water change system was 98.95%.
Classification of weather conditions based on automatic weather station data using a multi-layer perceptron neural network Indrajaya, Muhammad Aristo; Sollu, Tan Suryani; Subito, Mery; Rahman, Yuli Asmi; Saputra, Erwin Ardias
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp540-550

Abstract

Weather is one of the important elements that greatly determines human activities, especially those related to economic factors. Therefore, understanding weather conditions using weather parameters as a reference is important for human life, so a method is needed to classify weather according to its category so that the information produced can be used for various needs. Determining weather conditions in an area will not run well without a reliable method that can analyze existing weather parameters. Therefore, in this study, the weather condition classification process was carried out using the multilayer perceptron algorithm, a type of neural network (NN) algorithm. All data analyzed were weather parameter data collected by mini weather stations placed on land. The weather parameters used were temperature, humidity, air pressure, wind speed, dew point, wind chill, daily rainfall, solar radiation, and UV index. This study was conducted in Palu city, Central Sulawesi Province, Indonesia. The classification process carried out by the multilayer perceptron algorithm was carried out on the Altair AI Studio application and produced an accuracy value of 93.87%, recall of 92.33%, and precision of 91.29%.
Sistem Monitoring Tekanan Darah Berbasis Wireless Zakaria, Alamsyah; Subito, Mery; Amir, Ardi
Techno.Com Vol. 18 No. 4 (2019): November 2019
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v18i4.2553

Abstract

Teknologi jaringan nirkabel saat ini berkembang secara pesat khususnya di bidang kesehatan seperti monitoring tekanan darah. Pemeriksaan tekanan darah sangat penting dilakukan untuk mengetahui kondisi sistem peredarah darah pasien. Pada umumnya petugas kesehatan menggunakan tensimeter analog atau digital dalam melakukan pemeriksaan tekanan darah. Namun, penggunaan alat ini masih memiliki kelemahan dalam hal efisiensi pelayanan kesehatan karena setiap saat petugas kesehatan masih melakukan pemeriksaan pasien di setiap kamar dan alat ini belum dilengkapi modul nirkabel untuk mengirim data pasien ke setiap unit layanan secara real time. Permasalahan ini tentunya menjadi perhatian khusus akibat terbatasnya jumlah tenaga medis dalam melayani pasien, membutuhkan waktu yang cukup lama dalam melakukan proses diagnosa penyakit pasien, dan biaya administrasi menjadi meningkat. Untuk meningkatkan pelayanan kesehatan dan mengurangi beban kerja petugas kesehatan, peneliti mengusulkan rancangan sistem monitoring tekanan darah berbasis wireless menggunakan modul raspberry pi. Penelitian ini sangat membantu tenaga medis untuk dapat diterapkan pada rumah sakit atau puskesmas dalam memonitor kondisi penyakit pasien, khususnya tekanan darah. Rancangan yang diusulkan terdiri dari perangkat keras (sensor MPX5050GP, LCD, catu daya, dan laptop) dan perangkat lunak (bahasa pemrograman C, program aplikasi IDE, PHP, MySQL, dan dreamweaver). Hasil pengujian menunjukkan bahwa rancangan yang diusulkan berkerja dengan normal dengan tingkat akurasi 97,53%.
LINE TRACER PENYORTIR BARANG DENGAN QR CODE SEBAGAI PENGENALAN POSISI TARGET Putra, Wisnu Rahmat Dwi; Fauzi, Rizana; Ardias, Erwin; Subito, Mery; Indrajaya, Muhammad Aristo; Rahman, Yuli Asmi
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.752

Abstract

Robotic-based sorting systems offer an innovative solution to enhance efficiency and accuracy in the logistics industry. This research aims to design and implement a robotic system capable of automatically sorting goods by integrating barcode scanning technology and line tracer navigation. The system is built using an Arduino Mega 2560 as the main controller and is equipped with Stepper motors, DC motors, mecanum wheels, a GM65 barcode scanner, and various supporting actuators.Experimental results show that the GM65 sensor can optimally read barcodes at distances ranging from 15 to 55 cm. The servo motor demonstrates an accuracy rate of over 98%, while the Stepper motor performs optimally at a minimum voltage of 9.0 V. Additionally, line sensor calibration yields a threshold range between 528 and 573, ensuring accurate line detection. The system also exhibits stable movement with consistent speed and minimal travel time variation, indicating efficient operational performance.By integrating these technologies, the developed robotic sorter system significantly improves productivity, accuracy, and reliability in automated goods sorting processes. The implementation of this system is expected to support automation in the logistics sector and provide a practical solution to distribution management challenges in the era of Industry 4.0.
RANCANG BANGUN DC-DC CONVERTER TERKENDALI DALAM SISTEM PENGISIAN BATERAI PADA MODUL PEMBANGKIT LISTRIK TENAGA BAYU (PLTB) BERBASIS FUZZY Hariyanti, Kiki Andes; Subito, Mery; Alamsyah, Alamsyah; Santoso, Rudi; Kali, Agustinus
Foristek Vol. 12 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.146

Abstract

The wind is one of the new renewable energy sources that can be used as a source of electrical energy. But the wind in nature has a speed that varies greatly with each time and place. This can be overcome by using the DC-DC Converter tool with a fuzzy method to produce a stable electrical voltage so that it becomes usable electrical energy. This tool uses a series of converters connected to the Arduino microcontroller. The DC-DC converter circuit in this study also uses a voltage sensor as feedback for the Fuzzy method to maintain the stability of the circuit output which varies from 2V-5V, so that it can maintain a voltage of 6.5V which is used as a 6V battery charging. This circuit has an average efficiency of 60% for the open-loop system and 63% for the closed-loop system.
RANCANG BANGUN SISTEM MONITORING LEVEL PERMUKAAN AIR BERBASIS INTERNET OF THINGS (IoT) Subito, Mery; Blestania, Theresa; Amin, Nurhani; Dewi, Sari
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.247

Abstract

Indonesia is a country that has two seasons, namely the summer and the rainy season, when the rainy season arrives, the rainfall will be very high which can cause flooding. This can be overcome by technological innovation in the form of tools that can work in real-time to detect the condition of water flow in rivers so that losses due to flooding can be minimized. This tool uses a level sensor with the float magnetic level gauge method which is connected to the ESP32 microcontroller module as a sensor data controller and sends the sensor measurement data values ​​to the IoT platform. The sensor measurement results correspond to the water level in centimeters and are sent to the IoT platforms, namely Blynk and Telegram in real-time. The results of sending data to the Blynk and Telegram applications have an average error value of 1.5%.
Co-Authors A.Y. Erwin Dodu Abdi Chaerunnas Afdal Tahir Agustinus Kali Ajeng Ayu Maike Alamsyah - Alamsyah Alamsyah Amran Amran Ardi Amir Ardias, Erwin Asse, Ambo Blestania, Theresa Deny Wiria Nugraha Erwin Adias Saputra, Erwin Adias Erwin Ardias Saputra Fanny Astria, Fanny Hariyanti, Kiki Andes Indrajaya, Muhammad Aristo Kahfi, Ibnu Mohammad Ikhlayel Muhammad Aristo Indrajaya Muhammad Nur Alamsyah Mustari, Aidynal Nurhani Amin Prasetyo, Bayu Putra Putra, Wisnu Rahmat Dwi Qisti, Saiful Rizal - Rizal Rizal Rizana Fauzi, Rizana RR. Ella Evrita Hestiandari Rudi Santoso, Rudi Santoso, Rudi Santoso Sari Dewi Selviana Selviana Setijadi, Eko Tan Suryani Sollu Yuli Asmi Rahman Yusnaini Arifin Zakaria, Alamsyah