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All Journal Eksergi: Chemical Engineering Journal EL-IDARE: JURNAL MANAJEMEN PENDIDIKAN ISLAM Jurnal Teknik Sipil Jurnal Penelitian Pendidikan IPA (JPPIPA) AL-ATHFAL : JURNAL PENDIDIKAN ANAK Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Hukum Respublica JSiI (Jurnal Sistem Informasi) YUSTISI Jurnal Ilmu Hukum The Juris Imtiyaz : Jurnal Ilmu Keislaman Mulia International Journal in Science and Technical Yustisi: Jurnal Hukum dan Hukum Islam Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (JANAYU) Jurnal Profesi Insinyur Universitas Lampung Jurnal Kolaboratif Sains Collegium Studiosum Journal Jurnal Transparansi Publik (JTP) Jurnal Manajemen dan Perbankan (JUMPA) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) DHeJA Abdi Jurnal Publikasi Jurnal Informasi, Perpajakan, Akuntansi, dan Keuangan Publik International Journal of Islamic Thought and Humanities Hikami : Jurnal Ilmu Alquran dan Tafsir Jurnal Penelitian dan Pengabdian Masyarakat Jotika Ihsanika : Jurnal Pendidikan Agama Islam Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat dan Riset Pendidikan Al'Adalah JURNAL PENA PAUD Childhood Education Journal of Computation Science And Artificial Intelligence Jurnal Pustaka Cendekia Pendidikan Jurnal Pelita PAUD Inovasi Pendidikan dan Anak Usia Dini NAAFI: JURNAL ILMIAH MAHASISWA INFOKOM
Fahmi
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Pendampingan Bimbingan Belajar Al Qur’an Dengan Tajwid Untuk Mepersiapkan Ujian Tashih Akhir Santri Di Madrasah Diniyah Al Abror Ahmad kholilurrohman; Zayyadi, Ach.; Fathorrozi, Moh.; Fahmi; Ahkam, Hafidzul; Yunus, Muhammad
NAAFI: JURNAL ILMIAH MAHASISWA Vol. 2 No. 1 (2025): NAAFI: Jurnal Ilmiah Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian (P3M) STKIP Majenang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62387/naafi.v2i1.364

Abstract

Al-Qur'an learning at Madrasah Diniyah Al Abror faces challenges in the form of a gap between the demands of the final tashih exam and the students' suboptimal level of tajwid mastery. This study aims to analyze the role of guidance and guidance in learning the Qur'an with tajwid in improving the quality of reading and the readiness of students to face the final tashih exam. The study uses a descriptive qualitative method with a participatory approach, where researchers are directly involved in the mentoring process through observation, interviews, and documentation of learning activities based on the Tartila method with a talaqqi and musyafahah approach. The results of the study indicate that structured mentoring through the development of contextual modules, teacher training, and intensive mentoring in small halaqah (Islamic circle) significantly improved students' understanding and pronunciation of tajweed, as demonstrated by improved pre- and post-mentoring evaluation results. The main findings of this study revealed that tajweed learning that emphasizes direct practice, repetition, and habituation is more effective than a purely theoretical approach. The implications of this study indicate that the Tartila-based tajweed mentoring model can be an alternative for applicable, sustainable, and relevant Qur'anic guidance to be integrated into the Madrasah Diniyah curriculum and replicated in other Islamic educational institutions.
Implementasi Algoritma Deep Learning YOLO dan OpenCV untuk Mendeteksi Perbedaan Buah Ery Muchyar Hasiri; Fahmi; Mohamad Arif Suryawan; Nurfida Ain
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The development of computer vision technology and artificial intelligence has driven innovation in automation in various fields, including the agricultural sector and fruit trading. The process of identifying fruit quality, which is generally done manually, is still vulnerable to human error and inconsistencies. Based on these problems, this study aims to develop an automated system to detect the difference between fresh and rotten fruit using a deep learning-based You Only Look Once (YOLO) algorithm integrated with the OpenCV library. The system is designed in the form of a web application that is easy for fruit sellers to use. The dataset used consists of images of apples, mangoes, and bananas labeled through Roboflow into two categories, namely fresh and rotten. The model was trained using YOLOv11, then tested with new data that had never been used before. The test results showed high performance with an accuracy of 99.01%, mAP@50 of 0.925, precision of 0.93, recall of 0.90, and F1-score of 0.91. Based on these results, the system is able to detect the condition of the fruit automatically and in real-time with an excellent level of accuracy. This implementation proves that the integration between YOLO and OpenCV is effective in improving the efficiency, accuracy, and consistency of the fruit quality identification process.
Pengembangan Sistem IoT Berbasis Sensor untuk Analisis Kesuburan Tanah pada Lahan Pertanian Ery Muchyar Hasiri; Fahmi; Mohamad Arif Suryawan; Marselfa Nasir
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The development of Internet of Things (IoT) technology has had a significant impact in various fields, including the agricultural sector. One of the main challenges in modern agriculture is the efficient and accurate measurement of soil fertility, including temperature, humidity, and nutrient content parameters such as nitrogen (N), phosphorus (P), and potassium (K). Manual measurements take considerable time, effort, and cost, and often result in less accurate data because they are subjective and not real-time. This research aims to design and build an IoT-based soil fertility measuring device that integrates NPK sensors, Soil Moisture sensors, and DHT22 sensors with ESP32 microcontrollers as the system control center. The methods used include hardware and software design, ESP32 programming using Arduino IDE, and integration with the Firebase platform for online data storage. It reads the soil conditions in real-time and displays the measurement results on the LCD, as well as transmitting data to a smartphone application over the internet. The test results show that the tool can distinguish fertile and infertile soil conditions well. In fertile soils, a temperature of 29°C, humidity of 89%, and NPK content of Nitrogen 20–23 ppm, Phosphorus 32 ppm, and Potassium 190–195 ppm, respectively. Meanwhile, in infertile soils, a temperature of 23–32°C, humidity below 75%, and a Nitrogen content of 12 ppm, Phosphorus 22 ppm, and Potassium 118–120 ppm. This system provides benefits in remote monitoring, resource efficiency, and increased agricultural productivity.
The Effect of Plasticine Media on Alphabet Recognition in 4-5 Year Old Children in Kindergarten Aprilia, Putri Cika; Febriyanti; Fahmi
JURNAL PENA PAUD Vol. 6 No. 2 (2025): DECEMBER
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jpp.v6i2.44420

Abstract

Alphabet recognition is an essential skill in students' development; therefore, it requires greater attention from parents and teachers. This study aims to determine the effect of plasticine media on letter recognition in early childhood at Baiturrahman Sako Islamic Kindergarten, Palembang. This study uses a quantitative approach with a one-group pretest-posttest design and involves 15 children as samples selected by the purposive sampling method. The instrument used is an observation sheet that has been tested for validity and reliability with valid and reliable results. The research procedure includes administering a pretest and providing treatment through plasticine-based learning. A posttest was administered to assess treatment outcomes; the data were analyzed using a t-test, which showed a significant increase in scores (p < 0.001). These results demonstrate that plasticine media affect letter recognition in children aged 4-5 years.
Co-Authors Ach. Zayyadi Ade Firman Saputera Afriansyah, Ricky Agung Priyanto Agustin, Elvan Ahmad Ahmad Hadi Pranoto Ahmad Kholilurrohman alders paliling Alhijir Yasir Abdul Karim Ali Altway Ambiya Dwiyan Rahmanda Amir, Andi Mattulada Aprilia, Putri Cika Asep Kosasih Calvin Antony Cecep Nur Cahyadi Elhazri Hasdian Erniza Ery Muchyar Hasiri Fadlullah Faisal Faisal Akbar Febriyanti Femilia Zahra Furqan, Andi Chairil Genta Davida Prinandio Gery Pratama Gina Sonia Hafidzul Ahkam, Hafidzul Hamonangan Girsang Harahap, Irawan Hery Fajeriadi Hutagaol, Hendra Dm Igen Meyasha Ilman Kadori Inayah Nurbaiti Irawan Harahap Irawan, Rio Jamaluddin Jimmy Malintang Kadri Khafit Kamal Khairur Ramadhan Kurnia Dewi Laila Nazmi Laily Rosidah Lastri Anggi Fani Leni Sumarni Liana, Intan LM. Fajar Israwan M Andika Frasetya Maivy Hastuty Marselfa Nasir Marthen Gemayel Manurung Maryamah Masduki Megasari, Gabrilla Ulfa Meka, Wahyu Miftahul Janah Moh. Fathorrozi, Moh. Mohamad Arif Suryawan Muhamad Juni Bedu Muhammad Din Muhammad Faizin Muhammad Gagah Saputro Muhammad Kusasi, Muhammad Muhammad Yunus Muslimah, Rosailatul Nanda Ismaya Tirta Permana Nasripin Nirwan Budaytna Norafnan, Abdul Norhikmah Nuniek Hendrianie Nur Erin Syahirah Nurfida Ain Nurkamilah Nurul Laely Mahmudah Pamuncak, Mohammad Bintang Pardede, Rudi Rachmaniah, Orchidea Rafi Maulana Rahmawaty, Santi Rai Iqsandri Ratna Widyawati Retno Wulandari Rivaldi Rivani Kusuma Handratna Rizana Rudi Pardede Saidatul Munazilah Santi Rahmawaty Sasa Mantiri Sehan Rifky Shifa, Latifatu Simamora, Bona Adrian Simpan Edy Saputra Siregar, Solhani Guntur Siti Nurkhamidah Slamet Riyadi Sulastri Sulastri Susi Susanti Susianto Syahdan Gymnastiar Wahyu Meka Winstar, Yelia Nathassa Yecha Febrieanitha Putri Yeni Rahmawati Yeni Rahmawati, Yeni Yetti Yola Ade Safitri Yudha Irhasyuarna Yulia Tika Sari Yulianti, Yuyun Eka Zayus Muazrian7 Zayyadi, Ach. Zulhari