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All Journal Publikasi Pendidikan Jurnal Simetris Prosiding SNATIF Jurnal Teknologi Jurnal Transformatika Scientific Journal of Informatics InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL MANAJEMEN INFORMATIKA (JUMIKA) J I M P - Jurnal Informatika Merdeka Pasuruan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Ekonomi Manajemen Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pendidikan dan Teknologi Indonesia Jurnal Dialektika Informatika (Detika) Journal La Multiapp JAST Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Ilmiah Nusantara INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Bina Informatika dan Komputer (BINER)
Aditya Akbar Riadi
Universitas Muria Kudus
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Neuroscience Social Sciences Transportation

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Journal : Progresif: Jurnal Ilmiah Komputer

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Sistem Monitoring dan Kontrol Suhu Kandang Ayam Kalkun Yudha, Raka Gifaris Anega; Evanita, Evanita; Riadi, Aditya Akbar
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3236

Abstract

Turkey farming requires stable temperature and humidity management to maintain optimal growth and health. Manual monitoring often causes delays in handling environmental changes, which can reduce productivity. This study designs and implements a temperature and humidity monitoring and control system for turkey cages based on the Internet of Things (IoT). The system utilizes a NodeMCU ESP8266 microcontroller, a DHT11 sensor, and a relay module to automatically control a heating lamp according to temperature conditions. Data are transmitted to a server and displayed on a web-based dashboard accessible remotely, with additional notifications sent via WhatsApp. The development process applied a prototyping method, including hardware and software design, experiment and black-box testing. The results show that the system successfully maintains cage temperature within the ideal range of 28–32°C, displays real-time temperature and humidity data, and achieved a user satisfaction level of 91.25%. This system is considered effective in assisting farmers to monitor turkey cages more efficiently and responsively.Keywords: Internet of Things; Turkey farming; Temperature monitoring; Humidity; NodeMCU ESP8266.AbstrakPeternakan kalkun membutuhkan pengelolaan suhu dan kelembaban kandang yang stabil agar pertumbuhan dan kesehatan ternak tetap optimal. Pemantauan manual sering menimbulkan keterlambatan dalam penanganan perubahan suhu sehingga berpotensi menurunkan produktivitas. Penelitian ini merancang dan mengimplementasikan sistem monitoring serta kontrol suhu kandang kalkun berbasis Internet of Things (IoT). Sistem memanfaatkan mikrokontroler NodeMCU ESP8266, sensor DHT11, dan modul relay untuk mengendalikan lampu pemanas secara otomatis sesuai kondisi suhu. Data dikirimkan ke server dan ditampilkan pada dashboard web yang dapat diakses jarak jauh, serta dilengkapi notifikasi melalui WhatsApp. Metode pengembangan menggunakan pendekatan prototyping, meliputi perancangan perangkat keras, perangkat lunak, pengujian eksperimen dan pengujian Black box. Hasil pengujian menunjukkan sistem mampu menjaga suhu kandang dalam rentang ideal 28–32°C, menampilkan data suhu dan kelembaban secara real-time, serta memperoleh tingkat kepuasan pengguna sebesar 91,25%. Sistem ini dinilai efektif membantu peternak dalam memantau kondisi kandang kalkun secara lebih efisien dan responsif.Kata kunci: Internet of Things ; Kalkun; Monitoring suhu; Kelembaban; NodeMCU ESP8266.
Klasifikasi Penulisan Huruf Hijaiyah Menggunakan Algoritma Convolutional Neural Network Pada TPQ I’anatut Tholibin fatmarini, dini; Riadi, Aditya Akbar; Chamid, Ahmad Abdul
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3531

Abstract

This research was conducted due to difficulties in recognizing handwritten Hijaiyah letters at TPQ I’anatut Tholibin caused by variations in writing styles and similarities among letters. The study aims to develop a handwritten Hijaiyah letter classification system based on a Convolutional Neural Network (CNN) using the MobileNetV2 architecture. The research employed a Research and Development (R&D) approach, including real-time data collection from students’ handwritten samples, image preprocessing (resizing to 224×224, pixel normalization, and augmentation), model design using transfer learning, training, and testing. Model evaluation was performed using test data that were not involved in the training process, with performance assessed through a confusion matrix and metrics such as accuracy, precision, recall, and F1-score. The experimental results show that the model achieved an accuracy of 78.46% with a macro F1-score of 77.29%, indicating a reasonably good and balanced classification performance across classes. The system was implemented as a web-based application supporting real-time testing through direct writing on a digital canvas, enabling interactive classification. These findings demonstrate that MobileNetV2 is effective for handwritten Hijaiyah letter classification and has potential as an intelligent learning support tool.Keywords: Hijaiyah letters; Convolutional neural network; MobileNetV2; Image classification; Real-time systemAbstrakPenelitian ini dilakukan karena pengenalan tulisan tangan huruf hijaiyah di TPQ I’anatut Tholibin masih terkendala variasi bentuk tulisan dan kemiripan antar huruf. Penelitian ini bertujuan mengembangkan sistem klasifikasi tulisan tangan huruf hijaiyah berbasis Convolutional Neural Network (CNN) dengan arsitektur MobileNetV2. Metode yang digunakan adalah Research and Development (R&D) dengan tahapan pengumpulan data tulisan tangan murid secara real-time, pra-pengolahan citra (resizing 224×224, normalisasi piksel, dan augmentasi), perancangan model dengan pendekatan transfer learning, pelatihan, dan pengujian. Pengujian dilakukan menggunakan data uji yang tidak dilibatkan dalam proses pelatihan, dengan evaluasi performa menggunakan confusion matrix dan metrik akurasi, precision, recall, dan F1-score. Hasil pengujian menunjukkan bahwa model mencapai akurasi sebesar 78,46% dengan nilai macro F1-score 77,29%, yang menandakan performa klasifikasi yang cukup baik dan relatif seimbang antar kelas. Sistem diimplementasikan dalam aplikasi web dengan pengujian real-time melalui penulisan langsung pada kanvas digital sehingga klasifikasi dapat dilakukan secara interaktif. Temuan ini menunjukkan MobileNetV2 efektif untuk klasifikasi huruf hijaiyah tulisan tangan dan berpotensi sebagai alat bantu pembelajaran.Kata Kunci: Huruf hijaiyah; Convolutional neural network; MobileNetV2; Klasifikasi citra; Sistem realtime
Co-Authors A, Ifta Abdul Abdullah, Khabib Ahmad Abdul Chamid Ahmad Lutfi Hakim Akh Sokhibi Alif Catur Murti, Alif Catur Aminatus Syarifah Arief Susanto Azami, Farich Al Chamid, Ahmad Abdul Darsilowati Darsilowati Dicky Prasetiyo Durrun Nada Amarylis Dwimaelani, Riska Dwyan Akbar Putra Esti Wijayanti Esti Wijayanti, Esti Evanita Evanita Evanita, Evanita Evanita, E Fadhilah, Norma Farich Al Azami Farichah, Ainul fatmarini, dini Fera Anggraini Fistiana Fistiana, Fera Anggraini Gabriel Dwiki Ari Permadani Gunawan, Bagus Suseto Hakim, Alvin Rainaldy Hanik Hidayati Ifta Abdul A Indra Lina Putra Ivan Bagus Prasetiyo Jannah, Zuliana Nurul Khabib Abdullah Khilmawan, Muhammad Rizqi Khoirun Nisa', Nining Khusna, Nor Milatul Mahendra, Vicki Yuda Maulana Aditya Yusman Muhammad Imam Ghozali Murniawati, Mita Ningrum, Diah Ayu Cahya Oktavianus, Yohanes Pegianti, Nanda` Prasetiyo, Dicky Prasetyo, Herlambang Dwi Putra Aprilian Prastianing Huda Putra, Indralina Lina Ratih Nindyasari Riasti, Savira Rizal Ramli, Rizal Rizkysari Meimaharani Rizkysari Meimaharani Salsabila, Karima Saputra, Andre Tri Sari, Fadia Karlika Shofa Allaisya Shofiana, Arista Sokhibi, Akh Sokhibi, Akh Sugiarto, Elmalia Risma Putri Sugiharto, Wibowo Harry Sukmawati, Zesiy Risna Dewi Syirojuddin, Ahmad Idris Syukron, Muhammad Habib Tri Listyorini UMAM, MUHAMAD KHOTIBUL Vera Meirotun Hidayatika Vicki Yuda Mahendra Wulandari, Gilang Ayu Yehezkiel Febri Kurniawan Yudha, Raka Gifaris Anega Yuliana Fitriani