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Journal : Journal of Computer System and Informatics (JoSYC)

Sistem Pemilah Otomatis Tingkat Kematangan Buah Kelapa Sawit Menggunakan Metode Logika Fuzzy Mamdani Dan Sensor TCS3200 Salma Salsabilla; Irma Nirmala; Tedy Rismawan
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4449

Abstract

The palm oil sector has a strategic impact on the growth of Indonesia's economy, because the fruit of palm oil produces oil which can be used as alternative fuel, food oil and basic materials for various industries. Currently, oil palm fruit is sorted manually based on color, which takes much longer. As a result, a system was created to categorize oil palm fruit according to their state of maturity. This system uses the TCS3200 sensor as the main sensor to detect the color of oil palm fruit and implements the Mamdani fuzzy logic method to classify it. Arduino Uno can control the hardware components used in the system. Data obtained from RGB color values ​​(red, green, blue) obtained by the TCS3200 sensor is used as input in the system. Meanwhile, the outcomes this system produced are in the form of maturity levels of oil palm fruit which are classified into 3 categories, namely unripe, ripe and past ripe. Based on tests carried out with the confusion matrix, the accuracy value obtained was 95.6%.
Sistem Pemantauan Kesehatan Kambing Berdasarkan Suhu Tubuh dan Detak Jantung Berbasis Internet of Thing Sibarani, Yohana Oktavia; Rismawan, Tedy; Nirmala, Irma
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.5012

Abstract

The goat is one of the species of livestock that has many benefits. Goat benefits become one of the important aspects of keeping goats healthy. Predicting diseases in goats is quite difficult because of the lack of medical experts in the field to check the health condition of the goats. The research has created a system that can determine the health of goats based on their body temperature and heart rate. The system is designed to make it easier for farmers to monitor their health and perform early treatment when there are sick goats. The data used in this study is the normal body temperature and heart rate of the goat. This research uses NodeMCU as a microcontroller and also a sensor. The sensors used are the DS18B20 temperature sensor and the MAX30102 heart rate sensor. The system can measure both temperature and heart rate at the same time. The test results showed an average data error on the measurement of the DS18B20 sensor and the MAX30102 sensor. In these measurements, the average error of the sensor was 0.77% and the sensor MAX30102 was 2.23%. The data from the monitoring of this sensor will be displayed on the website so that it can be viewed by the user.