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All Journal Buletin Ilmiah Sarjana Teknik Elektro Abdimas Indonesian Journal
Dzilhilmi, Ubaid
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Religion Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Pelatihan Pembelajaran Al-Qur’an dengan Metode Ummi di SD Negeri 2 Glinggang, Sampung, Ponorogo Al Faruqi, Achmad Reza Hutama; Amrullah, Khasib; Fairuzzabadi, Fairuzzabadi; Ilham, Muhammad; Anwarudin, Aan; Ramadhan, Yusuf Khairul; Dzilhilmi, Ubaid; Al Hakim, Risydan Billy; Hariri, Muhammad Hisyam; Jahidin, Al Mul; Al-Abid, Muhammad Ramdhan
Abdimas Indonesian Journal Vol. 4 No. 1 (2024)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v4i1.335

Abstract

This article aims to present Quranic learning training using the UMMI method at SDN 002 Glinggang, Sampung, Ponorogo, with a focus on expanding knowledge and facilitating Quranic learning for participants more easily. The problem faced by the participants is the lack of clear methods in learning the Quran. To address this challenge, the Community Service Program (Kuliah Kerja Nyata/KKN) team from UNIDA Gontor organized training and education on Quranic learning methods for students and teachers. This community service method includes stages of preparation, implementation, monitoring, and evaluation. It is hoped that the learning and training activities using the UMMI method can become a method that is consistently used in teaching the Quran to all students of SDN 002 Glinggang, Sampung, Ponorogo, and improve the accuracy of their Quranic readings. The results of this community service are evident in the improvement of Quranic reading quality among students at SDN 002 Glinggang, Sampung, Ponorogo.
Early Detection of Disease in Chicks Using CNN on Bangkok Chicken Health Dwicahyo, Agung; Mufandi, Ilham; Nurfadila, Agustin Rani; Ardani, Much. Taufik; Dzilhilmi, Ubaid
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i2.10245

Abstract

Bangkok Chicken (Gallus Gallus Domesticus) is a type of chicken in Indonesia that has a high source of protein and supports the community's economy. The growth and development phase of chicks is a critical period because chicks are very vulnerable to attacks by infectious and non-infectious diseases. These diseases can cause high mortality rates and cause significant economic losses for farmers. This study aimed to investigate the potential for using CNN technology in the early detection of disease in Bangkok chicks in the Ponorogo district. As an artificial neural network, CNN can recognize patterns in visual data with high accuracy. The use of CNN technology in the agricultural sector, including animal husbandry, has shown promising results in supporting early disease detection systems in livestock. This study aims to investigate the potential of using CNN technology in the early detection of disease in Bangkok chicks in the Ponorogo district. By processing visual data from chicken images, CNN will be trained to identify early signs of disease in chicks. The result of this research is that this research can help maintain the availability and security of animal food supplies, which is an essential component of overall food security. In addition, by reducing losses caused by disease, this research can contribute to sustainable agriculture by ensuring the continuation of stable and sustainable animal food production.
Co-Authors Achmad Reza Hutama Al Faruqi Agung Dwicahyo Agustin Rani Nurfadila Al Hakim, Risydan Billy Al-Abid, Muhammad Ramdhan Anwarudin, Aan Ardani, Much. Taufik Fairuzzabadi Fairuzzabadi, Fairuzzabadi Hariri, Muhammad Hisyam Jahidin, Al Mul Khasib Amrullah Mufandi, Ilham Muhammad Ilham Ramadhan, Yusuf Khairul