Peprizal Peprizal
Politeknik Manufaktur Negeri Bangka Belitung

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RANCANG BANGUN FOOD TROLLEY PENGHANGAT MAKANAN OTOMATIS BERBASIS INTERNET of THINGS Miftah Puspita Sari; Fadhlan Aditya Firdaus; Rafli Nur Hakim; Eko Sulistyo; Amril Reza; Peprizal Peprizal
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Hospital food distribution requires a system capable of maintaining food temperatures to meet safety standards until the food reaches the patient. Temperature drops during distribution can compromise food quality; therefore, an automated heating system with real time monitoring capabilities is essential. This study aimed to design and construct an Internet of Things (IoT) based heated food trolley utilizing an ESP32 microcontroller, a DHT22 sensor, a PTC heater, an axial fan, and a Fuzzy Logic Controller (FLC) method. The monitoring system employs the Blynk application, enabling temperature and humidity tracking via smartphone. The research methodology encompassed requirements identification, mechanical and electronic design, software development, FLC implementation, system assembly, and performance testing. Test results demonstrated that the system successfully reached a setpoint temperature of 61°C and achieved stability within approximately 10 seconds. The DHT22 sensor exhibited an accuracy rate of 99.1-99.9% when compared to a reference measuring instrument. The FLC implementation effectively automated the PTC heater's operation to maintain the desired temperature range, while the Blynk application successfully displayed real-time temperature and humidity data. The findings indicate that the developed system is capable of maintaining food temperatures during distribution and offers superior monitoring convenience compared to systems relying solely on heating elements without IoTbased monitoring.
ALAT BANTU PENGINGAT MINUM OBAT BERBASIS ARDUINO UNTUK LANSIA DENGAN OUTPUT SUARA Wika Noventa; Yunis Sadi Savella; Peprizal Peprizal; Helda Susianti
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Elderly compliance in taking medication on time is a crucial factor in the success of long-term therapy, but cognitive decline often causes them to forget medication schedules, increasing the risk of complications. This study aims to design an Arduino-based medication reminder tool with voice output without an internet connection or smartphone. The method used is quantitative with a prototyping approach, including needs analysis, design, assembly, and system testing. The tool integrates Arduino Uno, RTC DS3231, 16x2 I2C LCD, 4x4 keypad, DFPlayer Mini, and speaker. Functional testing shows the tool is able to sound an alarm and display medication information on time with three repetitions of notifications. A questionnaire to three elderly respondents produced an average score of 4.30 or 85.9% in the Very Good category. This tool is proven to help elderly people remember medication schedules and types independently without relying on others or the internet.
PERANCANGAN ALAT STERILISASI AIR KOLAM IKAN MENGGUNAKAN TEKNOLOGI OZONE Fakhrul Hendri; Muhammad Bayu Adjie Dhiastra; Peprizal Peprizal; Lesta Lesta
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Water quality is a crucial factor affecting the growth, health, and survival of koi fish. This study aimed to design and implement a fish pond water sterilization system using ozone technology based on the ESP32 microcontroller and the Internet of Things (IoT) for real-time water quality monitoring. The proposed system consists of an ESP32, DFRobot pH sensor, DFRobot turbidity sensor, ACS712 current sensor, ZMPT101B voltage sensor, ozone generator, two water pumps, aerator, relay module, 16×2 I²C LCD, and Node-RED platform. The Research and Development (R&D) method was employed, including system design, hardware implementation, testing, and data analysis. Experimental results showed that the water pH increased from 6.8 to 7.4, while turbidity decreased from 100% to 0% after 60 minutes of ozone treatment. A four-day observation of four koi fish confirmed normal survival throughout the testing period. The developed system effectively improved water quality and enabled real-time IoT-based monitoring.
RANCANG BANGUN SISTEM PENDETEKSI TANAH LONGSOR BERBASIS IOT Encik Wan Nur Azlansyah; Galang Rama Saputra; Peprizal Peprizal; Ali Rizki Mulana
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Indonesia is a country prone to landslides, especially in hilly areas with unstable soil conditions and high rainfall. Delays in detecting early signs of landslides can increase the risk of losses and endanger public safety. Therefore, an early warning system is needed that can provide information on land conditions quickly and accurately. This study aims to design and build an Internet of Things (IoT)-based landslide detection system using an ESP32 microcontroller that can detect changes in land conditions and provide early warnings in real time. The research method used is the system design and development method (engineering design), which includes the stages of problem identification, hardware and software design, tool construction, sensor testing and calibration, system implementation, and system performance testing. The system uses limit switch sensors, GY-291 ADXL345 sensors, HC-SR04 ultrasonic sensors, and Raindrop sensors to detect changes in slope conditions. Data from all sensors is processed by the ESP32 and sent to the monitoring system via Discord. In addition, the system is equipped with a siren and strobe lights as an immediate warning on the location when dangerous conditions are detected. Test results show that the system is capable of detecting safe, alert, and dangerous conditions, sending real-time notifications, and activating warning devices based on the detected conditions. Therefore, the developed system can help increase public awareness and reduce the risk of casualties from landslides.