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Journal : JSE Journal of Science and Engineering

Development Of An IoT-Based Security System For Swiftlet Nests Using Esp32-Cam And Pir Sensor Arbansyah, Arbansyah; Maulidina, Gina; Nur Ilham, Muhammad Fauzan; Sumadi , Muhammad Taufiq
JSE Journal of Science and Engineering Vol. 4 No. 1 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v4i1.4220

Abstract

This study focuses on developing an Internet of Things (IoT)-based security system for swiftlet nests using ESP32-CAM and Passive Infrared (PIR) Sensors. The goal is to address the challenges of securing swiftlet nests located in remote areas, which are prone to theft and hard to monitor manually. The system combines motion detection, image capturing, and notification delivery through Telegram when connected to the internet. If the internet connection is unavailable, captured images are stored on a microSD card as an alternative. The research methodology includes the design of both hardware and software, implementation, and system performance testing. Test results show that the PIR sensor effectively detects motion within a 1-5 meter range, and the ESP32-CAM can capture and send images to Telegram in under 10 seconds when the network is stable. The system also reliably stores images on the microSD card when offline. This research highlights the system's ability to improve the security of swiftlet nests efficiently, offering a practical solution for farmers to monitor their nests in real-time without being physically present. The system’s flexibility and reliability make it a valuable tool for enhancing the security of agricultural resources.
Comparative Analysis of the Application of AHP and SAW in the Selection of the Best Employees at the Main Samsat Office, Samarinda City. Darmawan, Dwiki Adi; Arbansyah, Arbansyah; Latipah, Asslia Johar
JSE Journal of Science and Engineering Vol. 2 No. 2 (2024): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i2.3838

Abstract

Employees are a supporting factor in a company or agency, because with employeeswho have company qualification standards, the company's productivity will be maintained and will increase. The AHP and SAW methods can be used to determine the best employees. There are 3 criteria and 16 alternatives that are given a value based on the scale of importance and weight for each criterion that has been determined by the Samarinda City Samsat Main Office which will be processed to find a sensitivity value using two methods, namely AHP and SAW. By carrying out the calculation process as much as 6 times the weight addition experiment where each weight is added to the value of 0.5 and 1 which is applied to the two AHP and SAW methods produces the sensitivity values of the two methods and uses two experiments with the first formula (XA – XB) and ( XA + XB ) then the sensitivity value obtained from the first trial of the AHP method is - 2.592705356 and the sensitivity value of the SAW method is -4.522690058. The second experiment added the value (XA + XB) so that the results of the sensitivity values of the two methods were obtained, namely AHP 5.952672848 and SAW method 8.358567251. From the calculations of these two methods, the SAW method was chosen which is more sensitive, so the best employee with the highes score at the Samsat Main Office, Samarinda City, was A1, namely the Selvi Salamah alternative, with a priority value of0.944444444.
ID Card Printing Time Prediction With Mean Absolute Error in Linear Regression Fawwazrin, Akmal Mugni; Arbansyah, Arbansyah; Amin Rezaeipanah
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3868

Abstract

The Population and Civil Regrestration Center, know in Indonesia as the Dinas Kependudukan dan Catatan Sipil (Dukcapil), is a government agency responsible for managing and recording population data in specific regions. Dukcapil is responsible for recording births, deaths, marriages, divorces, and documenting identities through the Electronic Resident Identity Card (E-KTP). Dukcapil faces the need to address delays in document issuance, which will be the focus of this research. The data were collected directly when researchers conducted Praktek Kerja Lapangan (PKL) at Dukcapil. This study utilizes the linear regression method to estimate the time required for printing E-KTP cards that will be produced and calculates the Mean Absolute Error (MAE). Thorough MAE calculations using the linear regression method, researchers obtained a result of 10.2923 from the available data.
Design And Build Monitoring System Temperature And Ph Hydroponic Plants Based On Internet Of Things (Iot) Technology Using Nodemcu Esp-8266 Microcontroller Alfianur, Muhammad Fahri; Arbansyah, Arbansyah; Sumadi, Muhammad Taufiq
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.4166

Abstract

Hydroponic agriculture is a soilless plant cultivation method that is becoming increasingly popular in the modern era. However, hydroponic systems require strict monitoring of environmental parameters, especially temperature and pH, to ensure optimal plant growth. This research aims to design and build a temperature and pH monitoring system for hydroponic plants based on the Internet of Things (IoT) using a NodeMCU ESP-8266 microcontroller. The developed system consists of a DS18B20 temperature sensor, a pH sensor, a NodeMCU ESP-8266 microcontroller, and the ThingSpeak IoT platform. These sensors are used to measure the temperature and pH of the hydroponic nutrient solution in real-time. The collected data is then sent to the ThingSpeak platform via the WiFi connection integrated into the NodeMCU ESP-8266. The implementation of this system is expected to assist hydroponic farmers in efficiently monitoring and controlling their plants' environmental conditions, thereby increasing productivity and harvest quality. Further research can be conducted to integrate more parameters and develop automatic control systems based on the collected data.