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Journal : JURNAL ILMIAH GLOBAL EDUCATION

Pemanfaatan Panel Surya Sebagai Sumber Energi Pada Sistem Pengering Kopi Berbasis IoT dengan Catu Daya Hybrid Fitriyanto, Nova Ilham; Gunawan, Budi
Jurnal Ilmiah Global Education Vol. 7 No. 2 (2026): JURNAL ILMIAH GLOBAL EDUCATION (In Press)
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v7i2.5902

Abstract

This research aims to design and implement an Internet of Things (IoT)-based coffee bean drying system with a hybrid power source that combines solar panels and PLN electricity. The research and development (R&D) method used included system design, prototyping, and energy performance and drying process testing. The system utilizes a 50 Wp solar panel, a 12 V battery, an Automatic Transfer Switch (ATS), an ESP32 microcontroller, a DHT22 sensor, a load cell, and actuators such as a heater and a fan.Test results indicate that the system consumes 415,835 Wh of energy per day, with the solar panel contributing approximately 350 Wh per day, reducing battery load and extending operating time by up to two times compared to a system without solar panels. Furthermore, the system maintains a stable drying temperature within the range of 41–45°C and gradually reduces the mass of the coffee beans until they reach the standard dry condition.The novelty of this research lies in the integration of a hybrid system based on solar panels and PLN (State Electricity Company) that is automatically controlled using an Automatic Transfer Switch (ATS), and supported by real-time IoT-based monitoring and control. This approach improves energy efficiency, operational reliability, and drying process stability compared to previous research, which generally used a single energy source and lacked integrated monitoring systems.Thus, the developed system has proven effective in increasing energy efficiency, maintaining drying quality, and supporting the use of renewable energy in the agricultural sector
Sistem Kendali Suhu dan Kelembapan Pada Alat Pengering Biji Kopi Berbasis Mikrokontroler ESP32 Oktavois, Gelegar Pilpres; Gunawan, Budi
Jurnal Ilmiah Global Education Vol. 7 No. 2 (2026): JURNAL ILMIAH GLOBAL EDUCATION (In Press)
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v7i2.5905

Abstract

This research aims to design and develop an ESP32 microcontroller-based coffee bean drying control system to enhance efficiency and quality compared to traditional sun-drying methods. Conventional methods suffer from several drawbacks, including weather dependency, long drying durations, and a lack of temperature and humidity control, which can potentially degrade the quality of the coffee beans. The study employs the Research and Development (R&D) method, covering the stages of design, construction, and system testing. The system is equipped with a DHT22 sensor to measure temperature and humidity, and a capacitive soil moisture sensor to detect the moisture content of the coffee beans. An on-off control method is implemented using heaters and fans as actuators, managed via relays. Sensor data is displayed on an LCD and can be monitored in real-time. The test results indicate that the drying system functions as planned. In a trial using 3 kg of coffee beans, the system successfully reduced the initial moisture content from 55% to 12% within 3.5 days. The temperature control system exhibited a slow but stable response; the heater activates when the temperature drops below 60°C and deactivates when it exceeds 60°C. Similarly, the humidity control system activates the exhaust fan when humidity exceeds 60% and turns it off when it falls below 55%. This humidity control showed a rapid initial response that decelerated toward the end, with the system exhibiting lower stability compared to the temperature control.
Perancangan Sistem Pengering Biji Kopi Hybrid Berbasis IoT Dengan Sistem Monitoring Web Real - Time Maulana, Sayid; Gunawan, Budi
Jurnal Ilmiah Global Education Vol. 7 No. 2 (2026): JURNAL ILMIAH GLOBAL EDUCATION (In Press)
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v7i2.5906

Abstract

This study aims to design and implement a hybrid coffee bean drying system based on the Internet of Things (IoT) with real-time web monitoring to improve the efficiency and stability of post-harvest drying. The system utilizes an ESP32 integrated with a DHT22 sensor, a moisture sensor, and a load cell to monitor environmental conditions and mass changes during drying, with data transmitted via Wi-Fi to a web dashboard with a delay of 5 seconds. The novelty of this study lies in the integration of a hybrid drying system with multi-parameter monitoring based on IoT within a single integrated platform. Experimental results show that the temperature can be maintained at 43–50 °C with a deviation of ±1.5 °C, sensor accuracy of ±0.5 °C for temperature and ±2% RH for humidity, and a load cell error of ±1–2%, with a system response time of less than 5 seconds. The drying process reduces moisture content from 55% to 12% within 18–24 hours, demonstrating that the system operates effectively, stably, and responsively in improving coffee post-harvest quality.
Co-Authors Achmad Ridwan, Achmad Adriyani Budiman , Nita Agus Margiwiyatno Ahmad Jazuli Ahmad Jazuli Ahmad Syahroni, Ahmad Ahwan, Dedy Noor Arief Sudarmadji Arief Sudarmadji Arief Sudarmaji Arief Sudarmaji Arief Sudarmaji Arief Sudarmaji, Arief Arini, Nindya Ayu Susanti , Diah Budiman, Nita Adriyani Budiman, Nita Andriani Cornelius Siagian, Ruben Diana Laily Fithri Djoko Purnomo Dyna Marisa Khairina F. Shoufika Hilyana Fajar Nugraha Fajar Nugraha Fitriyanto, Nova Ilham Gunanjar Satrio Hadi Supriyo Hadi Supriyo Heliza Rahmania Hatta, Heliza Rahmania Hendro Juwono Hendy Hendro Hadi Sridjono Hendy Hendro, Hendy Henry Fernando Imam Abdul Rozaq Kertati Sumekar Krisyarangga Krisyarangga Laily Fithri , Diana Laily Fithri, Diana Luqman Afian Noor Afandi Malvin Malvin Mamik Indaryani Maria Theresia Sri Budiastuti Marthalia, Lia Maulana, Sayid Mirza, Hasyrul Moh Dahlan Moh Dahlan Moh Dahlan Moh. Dahlan Mohammad Dahlan, Mohammad Mohammad Iqbal Muhammad Rivai Mukhamad Nurkamid Mulyani , Sri Nita Andriyani Budiman Nugraha , Fajar Nurkhamid, Mukhammad NYD Setyaningsih Oktavois, Gelegar Pilpres R Rhoedy Setiawan Rajagukguk, Michael RAmadhani, Indri Anugrah Ratmono, Barito Mulyo Ratri Rahmawati Ridwan , Achmad Risnawati, Heni Rochmad Winarso rosyid, muhammad alawy Sa'adah, Miftakhus Salman Alfarisi saputro, heru Saromah Setyaningsih, Noor Yulita Sitorus, Anwar T Solekhan Solekhan Sri Mulyani Sri Mulyani Sri Mulyati Sugeng Slamet Sulistyowati Sulistyowati Supari Supari Susanti, Diah Ayu Tangguh Prakoso Taufik Taufik Untung Sudjianto Wenny Hizkia Aferdo Wicaksono, Rendi Armi Hadi Wijaya, Rachmawan Winarso , Rochmad Yelly Prawoto Yelly Prawoto Yely Prawoto Yely Prawoto, Yely Yuni T, Veronika Zed Nahdi Zed Nahdi