Article Per Year (5 Year)
p-Index From 2021 - 2026
3.585
P-Index
This Author published in this journals
All Journal EKUIVALEN - Pendidikan Matematika Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Ilmiah Sinus Jurnal Teknologi Terapan JSAI (Journal Scientific and Applied Informatics) Jurnal Kridatama Sains dan Teknologi Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Djtechno: Jurnal Teknologi Informasi Jurnal Penelitian Inovatif Abdibaraya: Jurnal Pengabdian Masyarakat Jurnal Pendidikan Surya Edukasi (JPSE) Journal of Engineering, Electrical and Informatics
Fadjeri, Akhmad
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Klasifikasi Gambar Batu-Kertas-Gunting Menggunakan Convolutional Neural Network dengan Fungsi Callback untuk Mencegah Overfitting Samidin, Samidin; Fadjeri, Akhmad
Jurnal Penelitian Inovatif Vol 4 No 2 (2024): JUPIN Mei 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.413

Abstract

Dalam era modern, kecerdasan buatan (AI) dan machine learning, khususnya teknik machine learning, telah menjadi integral dalam perkembangan teknologi. Implementasi Convolutional Neural Network (CNN) dalam klasifikasi gambar sering mengalami masalah overfitting, di mana model terlalu beradaptasi dengan data latih dan kurang mampu menggeneralisasi data uji. Untuk mencegah overfitting, penelitian ini menggunakan callback, seperti Early Stopping, Model Checkpointing, dan CSV Logging. Dataset gambar batu-kertas-gunting diperoleh dari Github Dicoding dan diproses dengan pembagian subset, augmentasi data, dan generator data. Model CNN dirancang dengan lapisan konvolusi, lapisan pooling, dan lapisan Dense. Optimizer, fungsi loss, dan metrik evaluasi dipilih sesuai tugas klasifikasi gambar. Melalui pelatihan model, akurasi meningkat dari 48.75% menjadi 98.75%, sementara loss menurun dari 0.9794 menjadi 0.0448. Evaluasi pada data validasi juga menunjukkan peningkatan konsisten. Pelatihan dihentikan pada epoch ke-18 setelah mencapai akurasi di atas 98%, untuk mencegah overfitting dan mengoptimalkan waktu pelatihan. Kesimpulan menunjukkan bahwa penggunaan callback efektif dalam mencegah overfitting dan meningkatkan akurasi model CNN dalam klasifikasi gambar batu-kertas-gunting. Ini menjadi strategi penting dalam meningkatkan kualitas hasil akhir model.
Development of Web-Based Retribution Payment Report Information System: A Case Study of Dorowati Market, Kebumen Priyo Prasojo, Unggul; Fadjeri, Akhmad
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i3.5728

Abstract

Traditional markets remain central to community economic activity, yet many still rely on manual systems for managing retribution payments. At Dorowati Market in Kebumen, Indonesia, payment recording is conducted using paper-based control cards and receipts, leading to frequent data loss, reporting delays, and administrative inefficiencies. These challenges highlight the urgent need for a digital solution to streamline retribution management and improve service delivery. This study aims to develop a web-based information system for market retribution payment reporting to assist market officers in managing transactions, trader data, and financial reports more effectively. The research employs a Research and Development (R&D) approach using the Waterfall model, encompassing planning, modeling, construction, deployment, and maintenance stages. System modeling was conducted using Unified Modeling Language (UML) diagrams and Entity-Relationship Diagrams (ERD) to visualize user interactions and database structure. The system was successfully implemented and evaluated by 30 respondents using a four-point Likert scale. The average score was 3.76, indicating a high level of user satisfaction. The highest-rated statement This system is suitable for broader implementation in other traditional market received a score of 3.90. These results demonstrate that the system enhances operational efficiency, reduces data errors, and supports transparent retribution management.
Pengembangan dan Evaluasi Usability Website Pemasaran Alat Hadroh Menggunakan System Usability Scale (SUS) Danu Dwi Setiawan; Akhmad Fadjeri
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9520

Abstract

The rapid growth of digital technology has encouraged micro, small, and medium enterprises (MSMEs) to adopt digital marketing strategies in order to remain competitive. This study aims to develop a marketing website for the Syekh Hadroh MSME and to evaluate the quality of the developed system in terms of functionality and usability. The research employed a Research and Development (R&D) approach with the Waterfall model as the system development method. Functional testing was conducted using Black Box Testing with the Equivalence Partitioning technique, while usability evaluation was performed using the System Usability Scale (SUS) involving 10 respondents. The results of Black Box testing indicate that all test scenarios were successfully executed with a success rate of 100%, demonstrating that the system functions according to the specified requirements. Furthermore, the SUS evaluation produced an average score of 73, which falls into the “good” usability category, indicating that the system is easy to use and well accepted by users. These results suggest that the developed marketing website is functionally reliable and usable, and therefore suitable for implementation as a digital marketing medium to support market expansion and improve service quality for MSMEs.
Rice Maturity Level Segmentation in Paddy Fields Based on UAV Aerial Imagery Using the YOLOv8 Algorithm Ma'ruf, Amin; Fadjeri, Akhmad
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7207

Abstract

Accurate identification of rice maturity is an important factor in determining the optimal harvest period and maintaining grain quality. Conventional field observations are often influenced by subjective judg-ment and may produce inconsistent results across different observers. This study proposes an auto-mated approach for rice maturity segmentation by integrating Unmanned Aerial Vehicle (UAV) imagery with the YOLOv8 deep-learning model. A dataset consisting of 682 aerial images was collected from paddy fields and categorized into three classes: unripe, ripe, and unhealthy rice. The images were an-notated using bounding boxes and divided into training, validation, and testing subsets. Model training was performed using YOLOv8n for 100 epochs with a batch size of 16. Performance evaluation em-ployed accuracy, precision, recall, and F1-score metrics derived from the confusion matrix. Experimental results showed that the proposed framework achieved an accuracy of up to 93%, demonstrating its capability to identify rice maturity conditions effectively. The findings suggest that UAV-based moni-toring combined with deep learning can support precision agriculture by providing a faster, more ob-jective, and scalable alternative to manual field assessment.
Analysis of Digital Image Quality Between Conventional Design Outputs and Generative Artificial Intelligence Images Using Digital Image Processing Methods Ramawan, Danang Prisma; Fadjeri, Akhmad
Journal of Engineering, Electrical and Informatics Vol. 6 No. 2 (2026): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v6i2.7209

Abstract

Recent developments in Artificial Intelligence (AI) have introduced innovative approaches to digital image production, enabling automated image generation from text-based instructions. The increasing adoption of AI image generation tools has created a need for objective methods to evaluate the quality of their outputs in comparison with images produced through conventional design techniques. This research investigates the visual quality differences between AI-generated images and images created using traditional graphic design software. An experimental quantitative method was applied by analyzing image pairs that shared identical resolutions and file formats. Image quality evaluation was performed using the Mean Squared Error (MSE) metric, which quantifies pixel-level discrepancies between two images. The experimental results demonstrate that MSE can effectively identify variations in image characteristics and similarity. Lower MSE values indicate a closer correspondence between compared images, whereas higher values reflect more substantial deviations in pixel composition. The findings highlight the applicability of MSE as a quantitative tool for image quality assessment and provide additional insight into the performance of AI-based image generation technologies within digital image processing applications.
Pemanfaatan Energi Baru Terbarukan Berbasis PLTS Area Pertanian dan Area Tunel Garam Tloglopragoto, Mirit, Kabupaten Kebumen Akhmad Fadjeri; Aulia Rahmawati; Rasyid Zuhdi; Farsellia Farsellia; Fahmi Fachri; Anisa Lutfiyani; Taufik Hidayat; Anisa Dwi Nurchayati; Tri Anggoro; Khoerul Anam
Abdibaraya Vol 5 No 01 (2026): Abdibaraya
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/abdibaraya.v5i01.2234

Abstract

Tlogopranoto Village, Kebumen Regency, is a cayenne pepper producing area with the main challenge of sandy soil conditions on the south coast, which causes water to evaporate quickly and be absorbed. This condition requires more intensive irrigation, which has been relying on conventional electricity at a high cost. To overcome this challenge and support the sustainability of production, a community service programme through KOSABANGSA from Ma'arif Nahdlatul Ulama University of Kebumen and AKPRIND University of Indonesia introduced Appropriate Technology (TTG) in the form of a Solar Power Plant (PLTS) for sprinkle irrigation systems on a one-hectare chilli field. This solar power plant reduces dependence on fossil energy, saves operational costs, and supports environmentally friendly agricultural practices by relying on renewable energy. The programme also included digital marketing counselling to the farmer group Gapoktan Krajan in Tlogopranoto Village. This counselling provided farmers with skills in using social media and e-commerce to expand the market for their products. In addition, training on solar power plant maintenance ensures the continued use of an efficient solar-powered irrigation system. The results of this programme show an increased capacity of farmers in managing modern irrigation technology and digital marketing, which is expected to increase their productivity and income. Overall, the implementation of solar PV as an irrigation solution is a clear example of the application of sustainable technology in the agricultural sector, supporting climate change mitigation efforts and the achievement of Sustainable Development Goals (SDGs) targets.
Evaluasi Aplikasi Pembayaran di Madrasah Tsanawiyah (MTs) Berbasis Website Akhmad Fadjeri; Taufik Hidayat; Endang Wahyuningsih; Mokhamad Isro; Anisa Dwi Nurchayati
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2146

Abstract

This research was conducted at MTs Ma'arif NU 01 Susukan from November to December 2024 with the aim of evaluating the development of a website-based Syahriyah Madrasah Application. The type of research used was Research and Development (R&D) with the ADDIE development model. The focus of paper publication was on the evaluation stage. Research data was obtained through interviews with competent media experts in their fields, then analyzed using a Likert scale (Aurora & Effendi, 2019). The validity test of the development results refers to the criteria set by Hidayat et al. (2024) a percentage of 75.01%–100% is categorized as very valid, 50.01%–75% is quite valid, 25.01%–50% is invalid, and 0%–25% is very invalid. The results of the research evaluation showed that the developed application obtained an average SUS score of 63.25, which is in the fairly valid category. These findings indicate that the application is suitable for use in supporting the management of Syahriyah payments in madrasas, although further development is needed to improve quality, convenience, and user satisfaction. Evaluation of the results of the website-based Syahriyah Madrasah application can be an effective solution for increasing transparency and accuracy in school financial management.
Co-Authors Adinugraha, Wasita Agung Kurniawan Anggoro, Tri Anisa Dwi Nurchayati Anisa Lutfiyani Arief Setyanto Aulia Rahmawati Bayu Aji Saputra Chakam Ulfi Ikfina, M Danu Dwi Setiawan Dicki Kusuma Adri Ariyanto Endang Wahyuningsih Endang Wahyuningsih Fachri, Fahmi Fahmi Fachri Farsellia Farsellia Fatkhin, Namri Fersellia, Fersellia Fitriana, Annisa Dwi Khafidurohman, Khafidurohman Khoerul Anam Lisna Kurniatin Lutfiyani, Anisa Ma'ruf, Amin Malikhah, Riyani MEI PARWANTO KURNIAWAN Mokhamad Isro Muflih, Ghufron Zaida Nurchayati, Anisa Dwi Priyo Prasojo, Unggul Ramawan, Danang Prisma Rasyid Zuhdi SAMIDIN, SAMIDIN Siti Sangadah Suyatiningsih, Suyatiningsih Taufik Hidayat Taufik Hidayat Tri Anggoro Tri Astuti Tri Defani Khudaedi, Ready Triyono Triyono