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Pelatihan Instalasi Jaringan Dan Hotspot Menggunakan Mikrotik Bagi Siswa SMKs NWDI Wanasaba Permana, Baiq Andriska Candra; Indra Gunawan; Muhammad Wasil; Harianto; Aris Sudianto; Mahpuz; Jumawal; Muhamad Sadali; Suhartini; Lalu Kertawijaya; Ida Wahidah; Muhammad Djamaluddin; Imam Fathurrahman; Hamzan Ahmadi
Jurnal Teknologi Informasi untuk Masyarakat Vol. 2 No. 2 (2024): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v2i2.28324

Abstract

With the development of industrial technology, this requires students to continue to adapt to keep up with technological developments. The increasing use of internet technology is not only popular among students but also in various agencies in the world of work. At a basic level, understanding network installation and configuration is one of the competencies taught in the Informatics and networking department at Vocational High Schools (SMK). The existence of network technology causes many conveniences including students being able to share resources such as scanners, printers, hard disks and others by simply connecting to the network. There are so many benefits that will be obtained by students by mastering skills in the field of network technology. This is one of the reasons for conducting training to improve student competence in the field of network installation and configuration. The method applied in this training activity is Participatory Learning and Action (PLA) where this method is an approach used in community development that focuses on the active participation of the community in the learning and decision-making process. The results of this activity are expected to have a positive impact on the competence of students at SMKs NWDI Wanasaba in the field of computer network technology so as to increase student confidence in facing school competency exams.
Pemanfaatan Sistem Absensi Berbasis RFID Sebagai Upaya Meningkatkan Akurasi dan Efisiensi Kehadiran Perangkat Desa di Aikmel Barat Sudianto, Aris; Muhammad Djamaluddin; Lalu Kertawijaya; Jumawal; Ida Wahidah
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33147

Abstract

The attendance of village officials is an important factor in supporting the quality of administrative services and governance at the village level. However, the manual attendance process previously used at the Aikmel Barat Village Office often resulted in several issues, such as delays in recording, inaccurate data, and low administrative efficiency. This community service activity aims to implement a Radio Frequency Identification (RFID)-based attendance system as a solution to improve the accuracy and efficiency of recording village officials’ attendance. The implementation methods included system needs assessment, installation of RFID devices, development of supporting applications, training for village officials, and evaluation of system performance after implementation. The results show that the RFID-based attendance system is capable of recording attendance automatically, quickly, and more accurately compared to the manual method. In addition, the use of RFID technology helps improve work discipline through more precise time logging and simplifies the process of recapitulating attendance data. User evaluations also indicate a high level of satisfaction, as the system is considered easy to use and enhances work efficiency. This implementation is expected to serve as a model for technology adoption to support the digitalization of village administration and improve the quality of public services in Aikmel Barat.
Pelatihan Pemanfaatan Kecerdasan Buatan untuk Meningkatkan Kreativitas dan Literasi Digital Siswa MA Mu'allimat NWDI Kelayu Ida Wahidah; Putra, Hadian Mandala; Darmawan, Muhammad Iman; Nuzuluddin, M
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33228

Abstract

The integration of technology in education, particularly Artificial Intelligence (AI) and Cloud Computing, is crucial in facing the Society 5.0 era. This study aims to analyze the effectiveness of AI and cloud technology training and its impact on students' understanding and perception. The research method utilized a quantitative descriptive approach through pre-implementation and post-implementation questionnaires distributed to 35 respondents, predominantly aged 16-18 years. Initial survey results indicated that while 77.1% of students had heard of AI, there was a gap in understanding, with 34.3% of respondents feeling they had poor or no understanding at all. Furthermore, cloud technology usage remained low, with 48.6% of students stating they had never used it. Following the training implementation, evaluation showed significant improvement, where 77.1% of respondents felt they understood the utilization of AI and cloud technology better. Participant satisfaction was high, with 85.8% rating the material as useful to very useful. The primary challenge identified was a lack of foundational understanding (65.7%). Overall, the program successfully enhanced participants' digital literacy, with 77.1% of students hoping that these technologies will improve the quality of learning in the future.
Pelatihan Pemanfaatan Teknologi Informasi sebagai Upaya Peningkatan Kompetensi Digital Remaja di Desa Aikmel Utara Siti Marhamah; Siti Sa’adah; Taufik Rauhul Hidayat; Ida Wahidah; Hadian Mandala Putra
Jurnal Teknologi Informasi untuk Masyarakat Vol. 4 No. 1 (2026): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v4i1.35089

Abstract

Low access to technology education remains a primary obstacle for rural youth in facing the challenges of the digital era. This community service program aims to enhance the digital literacy of children and teenagers in North Aikmel Village through a structured IT training program. The program was implemented using a systematic five-step method consisting of introduction, basic training, practical practice, discussion, and evaluation. This intensive training involved 32 participants, divided into a children's group (18 participants) and a youth group (14 participants). The results indicated a significant increase in capability; the children's group successfully mastered Microsoft Word for school administration, while the teenagers understood Python programming logic and basic Artificial Intelligence (AI) concepts by creating a cashier system simulation and utilizing the innovative PyLearn for AI platform. The integration of face-to-face training and digital infrastructure proves effective in creating an adaptive education system at the village level, reducing the digital divide, and establishing a sustainable digital legacy for the community
Penguatan Program Kampung Iklim Melalui Edukasi Digital, Pengelolaan Sampah Organik, Dan Ketahanan Pangan Berkelanjutan Di Desa Timbanuh Imam Fathurrahman; Muhammad Djamaluddin; M. Nurul Wathani; Ida Wahidah
Jurnal Teknologi Informasi untuk Masyarakat Vol. 4 No. 1 (2026): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v4i1.35353

Abstract

Timbanuh Village has considerable potential to support the implementation of the Climate Village Program (ProKlim). However, the community still faces several challenges, including suboptimal household organic waste management, limited utilization of organic waste, and high dependence on chemical pesticides that may negatively affect environmental quality. This community service program aimed to improve community knowledge, skills, and participation in environmental management and food security through digital education and environmentally friendly practices. The program was implemented using a participatory approach involving socialization, mentoring, hands-on activities, and the development of digital educational media that can be accessed sustainably by the community. The activities included socialization on organic waste management, assistance in eco-enzyme production, development of digital educational media, tree planting, and training on the preparation of botanical pesticides. The results demonstrated improvements in community knowledge and skills in managing organic waste, utilizing eco-enzymes, applying botanical pesticides, and increasing access to environmental information through digital media. This program contributed to enhancing community capacity to implement sustainable environmental management practices and supported community-based climate change mitigation and adaptation efforts in Timbanuh Village
Sistem Pemantauan Pelacak Panel Surya Berbasis Internet of Things dengan Aplikasi Ponsel Pintar Hadian Mandala Putra; Habibul Muzzamil; Ida Wahidah; Suhartini
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35038

Abstract

Solar energy is an environmentally friendly renewable energy source that has gained increasing attention due to its sustainability and widespread availability. The use of a solar tracking system capable of following the sun's movement can significantly improve the performance of solar panel systems. This study aims to develop an Internet of Things (IoT)-based monitoring system utilizing a smartphone application (Telegram on Android) to monitor and control a solar panel tracking system. The research employed a Research and Development (R&D) approach. The hardware components consisted of a tracking motor, Light Dependent Resistor (LDR) sensors, and a DC voltage sensor integrated with a solar panel system. The software component utilized a Telegram Bot as a platform for remote monitoring and control. The results demonstrated that the developed system was capable of performing real-time monitoring and control of the solar panel system through an internet connection. The main contribution of this study lies in the integration of an LDR-based solar tracking mechanism with a Telegram Bot-based monitoring and control system. Experimental results indicated that the proposed solar tracking system achieved a 23.18 % increase in average output voltage compared to a conventional static solar panel system. Furthermore, the output voltage remained more stable throughout the day because the solar panel was able to automatically follow the sun's trajectory. These findings indicate that the proposed system can enhance solar energy harvesting performance while providing a practical solution for remote monitoring and control.
Analisa Komparatif Klasifikasi Citra Sayuran dengan Algoritma Support Vector Machine dan Convolutional Neural Network Ida Wahidah; Hadian Mandala Putra; Suhartini; Taufik Akbar
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i1.32791

Abstract

This study presents a comparative analysis between the Support Vector Machine (SVM) algorithm, representing machine learning techniques, and the Convolutional Neural Network (CNN) algorithm, representing deep learning techniques, for vegetable image classification. The research adopts a quantitative approach by conducting multiple experimental schemes involving various SVM feature extraction methods and CNN architectures. The objective of this study is to evaluate and compare the performance, effectiveness, and computational efficiency of SVM and CNN algorithms. The dataset used in this study is a publicly available vegetable image dataset obtained from the Kaggle platform, consisting of 21.000 images categorized into 15 classes. The experimental results indicate that CNN significantly outperforms SVM in terms of accuracy, precision, recall, and F1-score. Moreover, CNN demonstrates superior generalization capability in predicting unseen image data. The best performance of the SVM algorithm was achieved using the Color Histogram feature extraction method, yielding an accuracy of 93%. In contrast, CNN models employing pre-trained architectures achieved higher accuracy, with VGG16 and MobileNetV2 obtaining accuracies of 98% and 100%, respectively. Based on the comparative results, CNN provides higher classification accuracy than SVM; therefore, this study can serve as a scientific reference for the development of image classification systems in digital agriculture and other applications requiring high accuracy and efficient computational performance.