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All Journal Jurnal Simantec Elsains : Jurnal Elektro Infotronik : Jurnal Teknologi Informasi dan Elektronika Jurnal TAMBORA Building of Informatics, Technology and Science TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Jurnal Informatika dan Rekayasa Elektronik Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Respati Jurnal Teknimedia: Teknologi Informasi dan Multimedia Media Jurnal Informatika Bima Abdi: Jurnal Pengabdian Masyarakat JUTECH : Journal Education and Technology JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Bulletin of Information Technology (BIT) Jurnal Informatika Teknologi dan Sains (Jinteks) Digital Transformation Technology (Digitech) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Rekayasa Sistem Jurnal Teknologi Informatika dan Komputer Jurnal Gemilang Informatika (GIT) Journal of Applied Informatics Science
Eri Sasmita Susanto
Universitas Teknologi Sumbawa
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Other

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RANCANGAN PROTOTYPE ALAT PAKAN ANAKAN AYAM KAMPUNG MENGGUNAKAN ESP32 BERBASIS INTERNET OF THINGS (IOT) Yudi Mulyanto; Rajid Andi Tuntantri Susanto; Eri Sasmita Susanto; Farida Idifitriani
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Peternakan ayam kampung memiliki tantangan dalam pemberian pakan yang teratur, terutama bagi peternak skala kecil yang masih menggunakan metode manual dalam pemberian pakan pada anakan ayam. Hal ini dapat menyebabkan ketidaktepatan dalam jumlah dan waktu pemberian pakan anakan ayam. Penelitian ini bertujuan untuk merancang prototype alat pakan anakan ayam kampung menggunakan ESP32 dengan sistem monitoring dan controlling berbasis Internet of Things (IoT). Metode yang digunakan dalam penelitian ini adalah metode eksperimen, yang mencakup perancangan perangkat keras dan lunak, serta pengujian sistem. Hasil penelitian menunjukkan bahwa alat ini mampu memberikan pakan sesuai jadwal yang ditentukan dan dapat dipantau melalui aplikasi Blynk. Sensor ultrasonic digunakan untuk mendeteksi jumlah pakan yang tersisa dalam wadah, sementara modul Real-Time Clock (RTC) mengatur waktu pemberian pakan. Kesimpulannya,  penelitian menunjukkan bahwa alat ini dapat memberikan pakan sesuai jadwal yang ditentukan tanpa keterlambatan, serta dapat dipantau dan dikontrol melalui aplikasi. Dari hasil pengujian terhadap anakan ayam kampung, penggunaan alat ini membantu menjaga keteraturan pemberian pakan, dibandingkan metode manual.
Media Pembelajaran Syariat Islam Pada Anak Usia Dini Berbasis Android Ghifron Akhiru Syahroni; Shinta Esabella; Eri Sasmita Susanto
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.791

Abstract

Limited facilities and low learning media infrastructure are two of the causes of the low quality of Indonesian education. This applies to children at TPQ Al-Ikhsan Dusun Boak Dalam, where learning methods still use books and whiteboards, which are relatively boring for children, and some material is still very difficult to understand. This disrupts the learning process. Then a solution is needed to answer this problem, namely by having an Android-based learning media application that includes Islamic law material for children. This study aims to develop an Android-based application that is specifically designed for learning media for Islamic law in early childhood at TPQ Al-Ikhsan Dusun Boak Dalam so that it makes it easier for children to understand learning material. The resultstugas of this study are in the form of an Android-based prototype of Islamic Shari'a learning media applications in early childhood that can help children understand learning material.
CornLeafNet: Disease-Area-Based Corn Leaf Disease Classification Using Convolutional Neural Networks Herfandi Herfandi; Eri Sasmita Susanto; Fahri Hamdani; Jonathan Afriliansyah
Journal of Applied Informatics Science Volume 2 Issue 2 (2026)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v2.i2.96

Abstract

Corn leaf diseases can reduce crop productivity by disrupting photosynthesis and plant growth. Manual identification in large-scale fields remains limited due to its dependence on observer expertise, visual similarity among disease symptoms, and variations in field conditions. This study proposes CornLeafNet, a Custom Convolutional Neural Network model for disease-area-based corn leaf disease classification. The dataset consists of XML-annotated corn leaf images, from which disease-affected regions were extracted through annotation parsing and bounding box-based cropping to focus the model on symptomatic leaf areas. CornLeafNet was developed to classify three disease categories: Grey Leaf Spot, Corn Rust, and Leaf Blight. The model achieved a validation accuracy of 97.66% and a testing accuracy of 98.60%, with precision, recall, and F1-score values of 0.9860, respectively. The best-performing model was converted into ONNX format and deployed in a web-based prototype for image- and video-based classification. The testing results showed that all core system functions operated as expected, indicating that CornLeafNet has potential as an automatic and practical support model for early corn leaf disease identification.
Co-Authors Abi Aulia Adi Ardiansyah, Adi Akbar, Muhammad Ilham Aldrin, Aldrin Aldy Aldy, Aldy Anggia Purbadhanti Anjarsari, Meri Apriana Wulandari Ardi Susanto Arman Diansyah Arsi Dwi Septiarini Arzikman Azzam, Ahmad Bahtiar, Syamsul Bajri, Febrianisa Barokah, Alfin Budikusuma, Iqbal Bulan, Santi Cahyono, Tomy Dwi Cece Listiana Umbara Dahalia Susanti Darmawan, Indra Dinola Dinola, Dinola Ekastini Ekastini Fahri Hamdani Fahri Hamdani Fahri Hamdani Fahrul Irwansyah Fajriansyah, Ananda Farida Idifitriani Ghifron Akhiru Syahroni Gutari, Intan Mei Halid Nuryadi Hanif Al Fatta Harfina Aprianti Haryanti, Eka Herfandi Herfandi I Made Widiarta Idifitriani, Farida Ikram, Fadhli Dzil Ismail Budi Aswin Jahrawati, Jahrawati Jonathan Afriliansyah Julkarnain, M. Juniardi Akhir Putra Karisma, Yana Kevin Noanda Aditya Rudy Yanto Kusrini Lilis Hartina M. Julkarnain M. Zammul Aditya Fu’ani M. Zayyan Musoffa Mariati Mazmur Triputra Meri Anjarsari Miftahul Haq Mila Sejahtera Mohammad Taufan Asri Zaen Muhammad Firmansyah, Muhammad Muhammad Ilham Akbar Muhammad Ilyas Muhammad Rizky muhammad rizky, muhammad Mujahidin Patti Peiloh Mujianto, Ahmad Heru Mulyanto, Yudi NABILA OPER Nabila Oper Nawassyarif Novitasari Novitasari Nurmala Nurmala Nurmayani, Heni Nuryadi, Halid Nuryansah, Fikri Oktavia, Siska Atmawan Purbadhanti, Anggia Putra, Juniardi Akhir Putra, Zainur Minullah Qanita, Shindyka Syalu Rajid Andi Tuntantri Susanto Rodianto Rodianto, Rodianto Safitri, Dindi Shinta Esabella Siti Kalkausar Djafar HS Sofya, Nora Dery Sukma Asyfinawati Sulastri SULASTRI Sultan Naufal Abdillah Susanti, Dahalia Susi Isnaeni Syafira Gestiana Syamsul Bahtiar Tari, Yuyun Triawan Adi Cahyanto W, Yunanri Wawa Marisa Wibowo, Angga Dwi Widiarta, I Made Wilia Ismiyarti Yasinta Bella Fitriana Yuliadi Yuliadi Yuliadi Yuliadi Yuniar Andriani