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Revolusi Keamanan Berkendara : Sistem Keselamatan Berbasis Mikrokontroller Hadian Mandala Putra; Akbar, Taufik; Hafifan Triadi Putra, Ahmad; Ida Wahidah; Suhartini
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26119

Abstract

The increasing need for transportation, especially motorcycles, has led to many illegal methods and criminal actions by individuals committing motorcycle theft. Fundamentally, security and safety are the primary concerns motorcycle users must pay attention to on the road. Many vehicle users neglect safety while riding, such as inappropriate driving. Some actions endanger themselves and other drivers, like using a cell phone while riding, causing the rider to lose focus. Therefore, this research offers a solution as a microcontroller-based security and safety system aimed at minimizing motorcycle theft and improving riding safety. The solution from this research is to produce a microcontroller-based technology utilizing RFID for security, touch sensors, and push buttons for safety when the rider does not follow proper riding procedures. The Research & Development method is used in this research, with five stages: analysis, design, development, implementation, and evaluation. The results of this study are a prototype of a security and safety system based on an Arduino Uno microcontroller as the control center. Regarding security, the vehicle starts only with registered access in the control center, which is then placed on the RF reader installed on the car. From the test results, using an e-KTP as the vehicle access medium successfully started the motorcycle with a 0% error rate from 10 trials. Regarding rider safety, using a touch sensor to test the number of passengers was successful, with an 80% success rate from 10 trials. The push button succeeded with a 100% success rate from 10 trials when users did not position their hands on both motorcycle handles (bars) and successfully triggered the alarm when the rider was not riding correctly.
Pengembangan Model Convolutional Neural Network (CNN) untuk Klasifikasi Penyakit Kulit Berbasis Citra Digital Imam Fathurrahman; Mahpuz; Muhammad Djamaluddin; Lalu Kerta Wijaya; Ida Wahidah
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28655

Abstract

This study aims to develop a skin disease classification model based on Convolutional Neural Networks (CNN) specifically designed to classify three types of skin diseases: acne, ringworm, and tinea versicolor. Unlike some previous studies that utilized datasets from various domains such as textile images, plants, and blood cell images, this research specifically employs a dataset relevant to skin diseases. The dataset used in this study consists of 810 skin disease images, divided into 600 images for training (200 images each for acne, tinea versicolor, and ringworm) and 210 images for testing. To enhance data variation and support model generalization, the dataset was processed using augmentation techniques. The model's performance evaluation showed promising results, with an average accuracy of 87.14%. Additionally, the model achieved precision, recall, and F1-score values of 87% each, demonstrating its ability to detect and classify skin diseases consistently. This study is expected to serve as a foundation for developing more accurate and efficient technology-based diagnostic tools, particularly for skin diseases, in the future
Pendampingan Pembuatan Sistem Informasi Sekolah Berbasis Web di SDN 1 Montong Baan Zamroni; Amri Muliawan Nur; Ida Wahidah; Azrul Hidayat; M. Wahyudi Rahmatul Qodri
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 1 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i1.28803

Abstract

Effective school information management is one of the important aspects in improving the quality of educational services. However, at SDN 1 Montong Baan, the information management process is still done manually, such as through announcements on information boards or direct communication with students' parents. This has caused several obstacles, such as delayed information, data inaccuracies, and limited access for the community. To address these challenges, a web-based school information system was developed with the aim of improving the efficiency and accuracy of school information management. This system is equipped with key features, such as a home page, school profile page, school program page, news & activities page, school facilities page, school achievements page, and new student registration page. The development of this system uses the Waterfall method, which includes the stages of requirement, design, implementation, verification, and maintenance. The development process begins with needs identification, system design, system construction, and ends with training and system testing with teachers and school staff. The implementation results show that this system successfully facilitates information management in a faster, more accurate, and structured manner. Users such as teachers, school staff, and parents of students provided positive feedback regarding the ease of access and reliability of the system. The success of this implementation is expected to serve as a model for web-based school information management for other schools, especially in rural areas
Pelatihan Kecerdasan Buatan Untuk Mendukung Kegiatan Belajar Mengajar Guru Ma Nwdi Kelayu Mandala Putra, Hadian; Wahidah, Ida; Iman Darmawan, Muhammad; Nuzuluddin, M
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 1 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i1.31051

Abstract

This Community Service Program focuses on training teachers at Madrasah Aliyah NWDI Kelayu to utilize artificial intelligence and cloud technology to support teaching and learning activities. In the Society 5.0 era, the ability to integrate modern technology into education is crucial. This program aims to enhance teachers' competencies in adopting technologies such as Gamma, Question Well, and ChatGPT, and utilizing Google services like Google Drive and Google Forms. The training was conducted intensively through theoretical and practical sessions designed to strengthen teachers' technical understanding and skills. The results of this training indicate a significant improvement in teachers' ability to implement technology in the learning process. Trained teachers are now capable of using these technologies to create more interactive and efficient learning experiences, which, in turn, are expected to improve student outcomes. This program is also expected to serve as a model for similar initiatives in other schools aiming to adopt technology in education