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All Journal JURIKOM (Jurnal Riset Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC)
Tedy Rismawan
Universitas Tanjungpura, Pontianak
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Penerapan Metode Regresi Linear Pada Sistem Peringatan Dini Banjir Berbasis Internet of Things (IoT) Nugra Zurus Pratama; Tedy Rismawan; Suhardi Suhardi
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4849

Abstract

Flood is an event when water inundates an area that is usually not flooded for a certain period of time. Floods usually occur because of continuous rainfall and result in overflow of river. Floods can cause negative impact such as puddles of water that enter homes of those affected. Therefore, we need a system to monitor the weather and can provide flood early warning. In this study the weather monitoring system and flood early warning were made based on internet of things by applying linear regression methods. The system consists of a weather sensor node, a water level sensor node and software in the form of a website. The system measures rainfall, air temperature, humidity, and water level. The process of sending data from the sensor to the server uses ESP32 as a microcontroller which is connected to a wifi network and internet. The system will send a notification if the water level is above the normal level. Based on the test results obtained as many as 45 occurrences of rainfall. The percentage of success in predicting water levels using the linear regression method is 94,4% with an error value of 5,6%. 
Sistem Pemantauan dan Kendali Kelembapan Udara Pada Budi Daya Bunga Anggrek Berbasis Internet of Things Siti Aminah; Tedy Rismawan; Suhardi Suhardi; Dedi Triyanto
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5250

Abstract

Orchid cultivation has been widely carried out by orchid agribusiness in Indonesia, even though there has been a lot of orchid cultivation but there are still obstacles in terms of supplies or maintenance. One of them is water sprinkling and fertilizing the orchid plants which are still done manually. Manual watering is watering done by orchid farmers so it requires a lot of effort and time and the amount of water that is sprinkled is not the same. If the water is poured too much or too little, it can cause rot or dryness of the plant roots so that the plants can die quickly. In the current technological era, watering can be done automatically by utilizing Internet of Things (IoT) technology and implementing the Wireless Sensor Network (WSN) system. NodeMCU ESP32 is used to control all hardware and software components. In this system there are 2 sensor nodes and 1 controller node. Users can control manually or automatically through the website interface. From the results of the implementation and testing it can be concluded that the system is able to provide information on conditions of temperature, air humidity, humidity of the planting medium, water level, liquid fertilizer height and water pH. The system is also capable of running automatic and manual systems, namely controlling and providing on/off condition information on water pumps, fertilizer pumps, faucet 1, faucet 2, faucet 3, fan 1, fan 2 and fan 3 on the website. The effect of the automatic system on the orchid plants was very good, because on the 41st day, the orchid plants using the automatic system experienced faster growth of new shoots, compared to using the manual system. The average delay time for the entire system is 4.5 seconds.
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 dan Kendali Kualitas Air Serta Deteksi Kebocoran Pipa Berbasis Internet of Things Muhammad Rizki Bariandi; Tedy Rismawan; Suhardi Suhardi
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5404

Abstract

PDAM is a local government-owned company responsible for providing drinking water and clean water services to the community. During the distribution process, the water delivered by PDAM sometimes does not meet good water quality standards. Solid particles in cloudy water can erode pipes, cause blockages, and ultimately lead to pipe leaks. Therefore, a system is needed to monitor water quality and pipe conditions, including automatic control of water turbidity and detection of pipe leaks. In this research, an Arduino Uno is connected to turbidity, pH, and pressure sensors. NodeMCU ESP32 is used to control the actuators and send sensor reading data to the Firebase database. The test results indicate that the average error for the turbidity sensor is 3.29%, for the pH sensor is 4.15%, and for the two pressure sensors when the pipe is not leaking, the average error is 0.88%. The system can also provide notifications on an Android application when there is a decrease in water quality or a pipe leak. The average time interval required for the system to send notifications to the Android application is 3.47 seconds.
Co-Authors Dedi Triyanto Desyandri Desyandri Irma Nirmala Muhammad Rizki Bariandi Nugra Zurus Pratama Salma Salsabilla Suhardi