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Temperature, Humidity, Air Quality Monitoring System In Laying Chicken Coop Based On IoT Firdaus, Azkha Brilliant; Maulindar, Joni; Muhtarom, Moh.
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7279

Abstract

The health and productivity of chickens in a coop heavily depend on optimal environmental conditions, such as temperature, humidity, and air quality. The ideal temperature for laying hen coops generally ranges between 18-28℃. However, manual monitoring of coop conditions is often ineffective and requires significant resources. Therefore, this research develops a Chicken Coop Monitoring system based on the Internet of Things (IoT) to improve the efficiency of environmental supervision and maintenance within the coop. This system is designed using an ESP32 microcontroller connected to temperature, humidity, and air quality sensors, combined with an internet connection to transmit real-time data to a database storage. The collected data can be accessed via a monitoring dashboard that visually displays information on the coop's environmental conditions, including whether the temperature is within the optimal range. Testing results show that this system is capable of accurately monitoring environmental parameters, detecting non-ideal conditions, and assisting in decision-making related to coop environment regulation. By implementing this technology, chicken health and productivity can be significantly improved through more efficient and effective coop environment management.
Implementation of IoT-Based Soil Moisture Monitoring System for Chili Plants Munawaroh, Maysani; Maulindar, Joni; Erlinawati, Mira
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7243

Abstract

Unstable soil moisture is a major challenge in chili cultivation, especially with climate change and limited water resources. To address this, the study developed an Internet of Things (IoT)-based soil moisture monitoring system with automatic irrigation. The system utilizes an ESP32 microcontroller, YL-69 moisture sensor, and the Blynk app for real-time monitoring and control via smartphone. The development followed the Waterfall method, covering requirement analysis, system design, implementation, and testing. Results showed the system accurately detects soil moisture, activates the water pump automatically based on threshold levels, and provides manual control options. The Blynk interface effectively displays real-time data, watering time, duration, and historical graphs with responsive and stable performance.
Internet of Things-Based Automation System for Watering Cayenne Pepper Plants Akbar, Reza Maulana; Maulindar, Joni; Muhammad, Nibras Faiq
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7359

Abstract

This study aims to build an Internet of Things (IoT)-based automatic watering system intended for cayenne pepper farmers in rural areas. The system is designed to irrigate plants automatically based on environmental parameters obtained in real-time. The hardware components consist of an ESP32 microcontroller, a DHT22 temperature and humidity sensor, a soil moisture sensor, a relay module, and a DC water pump. Sensor data are processed by the ESP32 and transmitted to a Supabase database using the HTTP protocol, then visualized through a local web-based interface. Testing results show that the system functions automatically and responsively when the soil moisture value falls below the predetermined threshold. The monitoring interface displays real-time temperature, soil moisture, and a history of recent watering activities. This system is considered effective in reducing labor and optimizing water usage, while also providing a digital solution that aligns with small-scale precision agriculture practices. Based on the results, the system is deemed feasible for implementation and further development.
Design and construction of an IoT-based solar panel batteray monitoring system for household needs Ardiyanto, Kevin; Maulindar, Joni; Dwiirawan, Ridwan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7206

Abstract

This study aims to design and build a solar panel battery monitoring system based on the Internet of Things (IoT) for household needs. Given the increasing demand for energy and reliance on fossil fuels, this system addresses the challenges of monitoring the performance and status of solar panel batteries. The methods employed include measuring electrical current using the ACS712 sensor, controlling a 5V water pump, and programming the ESP32 module. The research results indicate a reduction in water usage by up to 30%, with the watering frequency decreasing from three times to two times per day, thereby enhancing resource efficiency. Data visualization through a PCB dot matrix allows users to understand the system status in real-time. Despite limitations related to internet connectivity, this study makes a significant contribution to the development of IoT technology in the field of renewable energy and opens avenues for further research.
Design And Development of An Automated Watering System For Curly Red Chili Plants Based on Internet Of Things Saputra, Muchammad Yoga; Nurchim, Nurchim; Maulindar, Joni
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7263

Abstract

An ideal soil moisture level between 60% and 80% is crucial for the optimal growth of curly chili plants. However, manual watering methods by farmers are often inefficient and fail to maintain consistent soil moisture. This issue forms the basis of the current research, which aims to develop an automated Internet of Things (IoT)-based watering system for curly chili plants, integrated with a monitoring website. The research method involves using an ESP32 microcontroller connected to a soil moisture sensor and a DHT22 temperature sensor. The data collected by the sensors is sent in real-time to the Firebase Realtime Database as a cloud platform and then visually displayed on a monitoring website. System testing confirmed that the setup successfully monitored soil conditions and air temperature while also controlling a DC mini water pump via a relay for automated watering based on the received data. In conclusion, the implementation of this IoT technology is expected to assist farmers in Kadokan Village in conserving water usage, improving time efficiency, and enhancing the quality and quantity of curly chili production.
Air Temperature and Humidity Monitoring System for Oyster Mushroom Cultivation Ardani, Hasby Arif; Maulindar, Joni; Indah, Ratna Puspita
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7348

Abstract

Oyster mushroom cultivation demands the stability of the microenvironment, especially in the aspects of temperature and humidity in the barn space. Manual monitoring methods that are still commonly used are often less responsive and inefficient in capturing real-time changes in conditions. To answer these problems, this research designs and builds an Internet of Things (IoT)-based monitoring system integrated with the Ubidots platform as a control center and data visualization. This system is able to read and send precise temperature and humidity data using the Hypertext Transfer Protocol (HTTP) protocol. This system uses the DHT22 sensor which is more accurate than previous studies that generally use the DHT11 sensor. The test results show that the system works responsively, stably, and accurately in presenting real-time environmental data, with a temperature reading error rate of about ±0.5°C and ±5% humidity. The implementation of the system at the oyster mushroom cultivation site in Jonggrangan Village, Klaten Utara, proved its effectiveness in helping farmers monitor and maintain mushroom growth conditions remotely in an efficient and sustainable manner.Oyster mushroom cultivation demands the stability of the microenvironment, especially in the aspects of temperature and humidity in the barn space. Manual monitoring methods that are still commonly used are often less responsive and inefficient in capturing real-time changes in conditions. To answer these problems, this research designs and builds an Internet of Things (IoT)-based monitoring system integrated with the Ubidots platform as a control center and data visualization. This system is able to read and send precise temperature and humidity data using the Hypertext Transfer Protocol (HTTP) protocol. This system uses the DHT22 sensor which is more accurate than previous studies that generally use the DHT11 sensor. The test results show that the system works responsively, stably, and accurately in presenting real-time environmental data, with a temperature reading error rate of about ±0.5°C and ±5% humidity. The implementation of the system at the oyster mushroom cultivation site in Jonggrangan Village, Klaten Utara, proved its effectiveness in helping farmers monitor and maintain mushroom growth conditions remotely in an efficient and sustainable manner.
IoT-Based Real-Time Security System Implementation at Kaka Game Center Internet Café Prastya, Alvian Bagus; Maulindar, Joni; Purwanto, Eko
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7327

Abstract

Security in public spaces such as internet cafés (warnet) is a major concern, especially during non-operational hours. This study develops a real-time security system based on the Internet of Things (IoT) by integrating the ESP32 and ESP32-CAM microcontrollers to enhance surveillance effectiveness in warnet environments. The system uses a PIR sensor to detect motion, then automatically sends a notification to the Telegram application and triggers image capture via the ESP32-CAM. In addition to automatic detection, users can also manually control the system via Telegram, such as activating the buzzer, requesting snapshots, or accessing real-time video streaming using ngrok. The system was developed using the Waterfall method, which includes requirement analysis, design, implementation, and testing. The results show that all system features operate properly, are responsive, and support efficient remote monitoring. With its low cost and optimal technology integration, the system is a viable alternative to conventional security systems for small-scale businesses.
MODEL KLASIFIKASI JARAK MANHATTAN PADA PENGENALAN CITRA SISTEM BAHASA ISYARAT BAHASA INDONESIA Tory, Alfa Rado Andre Yusa Saka; Pradana, Afu Ichsan; Maulindar, Joni
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9466

Abstract

This study aims to design and implement an image recognition system for Sistem Isyarat Bahasa Indonesia (SIBI) by applying the Manhattan distance classification method. Sign language serves as a vital means of visual communication for individuals with hearing impairments and disabilities. However, public understanding of this language remains limited, often leading to ineffective communication between hearing and non-hearing communities. Therefore, an assistive system capable of accurately recognizing sign language is highly needed. The Manhattan method was selected due to its simplicity and efficiency in calculating distances between data points. The dataset used in this study was obtained from the Kaggle website, consisting of 130 training images and 130 testing images, each representing 26 alphabet letters in the SIBI system. All images underwent initial preprocessing using Jupyter Notebook, including resizing, background removal, and conversion to grayscale to facilitate feature extraction. The grayscale images were then transformed into histograms and normalized to maintain a consistent value scale. The classification process was carried out by computing the Manhattan distance between the test and training image histograms. The system was developed using MATLAB R2015a, featuring a user interface that displays classification results directly. The test results showed that out of 130 test images, 104 were accurately recognized, achieving an accuracy rate of 80%. These findings indicate that the Manhattan method is effective for use in image-based sign language recognition systems. The developed system is expected to serve as an inclusive and educational tool to enhance communication between the hearing-impaired community and the general public. Further development may involve integrating additional methods and expanding the dataset.
SOSIALISASI PENGGUNAAN APLIKASI KESEHATAN SEBAGAI ALAT PEMANTAUAN DAN PENDIDIKAN TENTANG STUNTING DAN PENGGUNAAN OBAT YANG TEPAT Binuko, Raafika Studiviani Dwi; Joni Maulindar
Mafaza : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): Mafaza : Jurnal Pengabdian Masyarakat
Publisher : Mafaza : Jurnal Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/mafaza.v4i1.2812

Abstract

The issues of stunting and inappropriate drug use pose serious challenges to public health, including in Indonesia. Stunting, often caused by early-life nutritional deficiencies, has long-term impacts on children's health and development. Meanwhile, improper drug use can lead to harmful side effects and drug resistance. Hence, a socialization activity was conducted using the method of Socialization of Health Application Usage as a Tool for Monitoring and Education on Stunting and Proper Drug Use. This approach combines educational, practical, and social support elements to ensure its effectiveness. Through educational sessions, participants gain a deep understanding of the importance of proper drug use and the negative effects of improper drug use. Hands-on sessions using health applications enable participants to apply their knowledge in monitoring children's growth and understanding stunting indicators. Relevant exercises in real-life situations are also provided to hone participants' skills in using the applications in their daily lives. Evaluation reveals positive changes in participants' understanding and attitudes, as well as increased confidence in facing health challenges. Pre-test and post-test results indicate a significant improvement in participants' understanding of the subject matter and practical skills, from 36.5% to 81.2% in understanding the material and from 47.1% to 87.5% in understanding practical aspects. This underscores the effectiveness of the socialization approach in enhancing participants' knowledge and skills related to stunting and proper drug use through health applications.
Digital Training Recommendations for Enhancing Healthcare Human Resource Competence Using the Simple Additive Weighting Algorithm Maulindar, Joni; Dewi, Nandita Sekar Sukma; Mustapha, Jawahir Che
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/hr24wj75

Abstract

The main challenge in digital transformation within the healthcare sector lies in the limited mapping of human resources’ (HR) readiness toward information technology. This study aims to evaluate the digital readiness level of healthcare human resources using a data-driven approach. The Simple Additive Weighting (SAW) method was applied, utilizing six variables whose weights were determined through expert discussions. The results show that respondents’ digital readiness scores range from 0.800 to 0.858. The highest score was achieved by R011 (Doctor, Outpatient Department) with a score of 0.858, indicating excellent digital literacy and effective utilization of information systems. A score of 0.828 was obtained by R032 (Medical Records Administration, ICU), R035 (Midwife, Polyclinic), and R025 (Doctor, Outpatient Department), suggesting relatively even readiness levels. The lowest score, 0.800, belonged to R026 (Laboratory Analyst, Polyclinic), which still falls within the high-readiness category but indicates the need for improvement in health data analysis skills. The overall average score was 0.828, confirming that the majority of healthcare personnel demonstrate good digital readiness. These findings highlight the effectiveness of the SAW method in providing data-driven recommendations for digital capacity development. Moreover, the results can serve as a foundation for designing more targeted and efficient training programs. Overall, this study demonstrates that SAW-based mapping can effectively support strategic decision-making in the digital transformation of healthcare services.
Co-Authors Abdullah Abdullah Syaifudin Aditya Rachman Putra Afu Ichsan Pradana Agil Husnul Khotimah Agustina Srirahayu Ahmad Qashid H Ahmad Setiawan Aji, Sindhu Purnomo Akbar Galih Saputra Akbar Akbar, Akbar Galih Saputra Akbar, Reza Maulana Aldin Fathiray Ananda, Naufal Choirul Andreas Abi Permana Andrianto, Albertus Ari Anggita, Febri Arif Anisatul Farida Annas Setiawan Prabowo Anugrah Putra, Muhammad Ardani, Hasby Arif Ardhianto, Aan Ardiyanto, Kevin Ardiyanto, Marta Arif Eko Fitrianto Arif Wicaksono Septyanto Arnan Dwi Arsandy, Noelino Grevansha Atina, Vihi Avianto Adi Pratama Awang Long, Zalizah Azza Al Abbas, Abdullah A’an Jati Susilo Badrudin, Muhamad Bagas Mutaqqi Bagaskara, Ikrar Bagos Erwanto Bagus Prakoso, Ahmad Bahrul Aziz Rifai BAHTIAR, YUSUF Bayu Tri Pramono Berlian Agustina, Anggun Binuko, Raafika Studiviani Dwi brigitta harlim Che Mustapha, Jawahir Christopher Jody Widiyono Da Costa, Alexandre Dewi, Nandita Dewi, Nandita Sekar Sukma Dhimas Arya Rakadipa Didik Kurniawan Difan Agra Susilo Dika Adi Pratama Dimas Abimanyu Sutrisno Putro Dimas Cahyo utomo Dison Librado Dita Putra Pratama Divangga Revansa Arya Pradhana Dwi Hartanti Dwi Hartanti Dwi Hartanti Dwi Kurniawan Saputro Dwiirawan, Ridwan Dyah Aprimavista Cahyani Edy Kurniawan Eko Purwanto Em Sutrisna Enggar Wijaya Putra Erlinawati, Mira Ery Permana Yudha Ester Anugrayningtyas Fachruddin Edi Fandi Aziz Pratama Fathur Iqbal Hilmi Ulhadi Faulinda Ely Nastiti FAULINDA ELY NASTITI Firdaus, Azkha Brilliant Fitria Eko Nurjanah Fitroh Ahmad Abdul Aziz Frisca Tri Arumsari Guterres, Juvinal Ximenes Hafid Affan Wahid Hamna Zakiya , Nasywa Hani Rifdah Azizah Hanif Hilmi, Muhammad Hanif Nur Ahmad Hari Windiyastuti Harsanto, Harsanto Hartanti, Dwi Hartanto, Didik Mayur Hasanah, Herliyani Hidayat, Almaranda Aisyanissa Hiyarunnisa Kahes Waypi Ichsan Pradana, Afu Ichwani, Achmad immaculata yolia dewi Widayanti Indah, Ratna Puspita Indrastata, Ilham Buyung Indriyas Kukuh Wijayanti Intan Oktaviani Iqbal Hanan Junaidi Irawan, Egie Irawan, Ridwan Dwi Istiana Hanifah Istiqomah, Yasinta Jawahir Che Mustapha Yusuf Jawahir Che Mustapha Yusuf Jofan Fathurahman Juvinal Ximenes Guterres Karlina Kusuma Ningrum Kevin Yoga Ananta Kurniawan, Daniel Ade Leny Monica Lidia Earlene Rendhiva Lola Sekar Arum Lufti Puspitasari Margaretha Evi Yuliana Margaretha Evi Yuliana Mashkul Ryan Ibrahim Matin Muhith Meraldy Fiko Rastio Ajie Mink Poo Lexy Utomo Mink Poo Lexy Utomo Moh Muhtarom Moh. Muhtarom Muhammad Daivany Nur Auliya Saleh Muhammad Nur Ikhsanudin Mulyanto, Hari Munawaroh, Maysani Mustapha, Jawahir Che Nadia Hepyntha Nailurrizqi, Adistya Nanda Ramadhani, Fikko Nandita Sekar Sukma Dewi Nibras Faiq Muhammad Ningrum, Karlina Kusuma Nugroh, Heri Nur Auliya Saleh, Muhammad Daivany Nur Cahyo Nugroho Nurchim Nurchim Nurfadilah Nurfadilah Nurlaili, Dewi Nurohman Nurohman, Nurohman Nurrohman Oktaviyana Dwi Hendra Jati Pamekas, Bondan Wahyu Permatasari, Hanifah Praba M.A.R.K Pradana, Afu Ichsan Pradana, Gibran Arya Prajadi Cipto Utomo, Bangun Pramoedya Ananta Dzikri Pramono Pramono prastiwi, yuyun Prastya, Alvian Bagus Prastyo, Okik Dwi Pratiwi, Dinita Christy Pujiati Edy Santoso, Elysa Mei Puput Dwi Mandiri Puput Dwi Mandiri Purwanto, Eko Putra Pradana, Gibrand Raafika Studiviani Dwi Binuko Raditya Koesyan Dipo P Rais Suryo Wahono Rendi Enggar Bintang Pratama Restu Gilang Wijanarko Reza Mar Hendra Putra Rifa'i, Rifan Rifan Amirul Hafizh, Muhammad Rifqi Firdausi Arafad Riska Rosita Rizki Hendra Rizqy Mahendra Abdul Rahman Romy Rajawali Nusantara Saifullah Rudi Susanto Saifudin Umar Sandy Yustisio O Saputra, Muchammad Yoga Setiawan, Gilang Setya Pradhana, Wahyudi Shelvi Azizah Sindhu Purnomo Aji Singgih Purnomo SRI SUMARLINDA Studiviani Dwi Binuko, Raafika Suci Bunga Pritalina Sudarminingsih Sudarminingsih Sulistyo Adi Prasetyo Syahrul Agung Fathoni Tasya Mutiara Diva Tasya Mutiara Diva Tesalonika, Angel Titi Jayanti Tiur Bunga Gadissa Tory, Alfa Rado Andre Yusa Saka Vita Sofia Prihatini Wahyu Adi Pratama Wahyu Aji Saputro, Lintang Wahyu Kuncoro Wahyu Pamekas, Bondan Warihaji, Wijasena Warta, Danu Widayanti, immaculata yolia dewi Wihan Perkasa Nugraha Putra Wijayanti, Indriyas Kukuh Wijayanti, Sefi Ayuk WIJI LESTARI Wiji Lestari Wijiyanto Yafa Arsyida Aulia Rakhma Yasinta istiqomah Yeyen Santi Putri Yoma Patria Risky, Satya Yusuf Bahtiar Zaenuar Erfandi Zalizah Binti Awang Long