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All Journal Jurnal SOLMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jiko (Jurnal Informatika dan komputer) Indonesian Physical Review Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat) Al-Tafani: Jurnal Inovasi dan Pengabdian Kepada Masyarakat
Hadian Mandala Putra
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Integrasi aplikasi PHET simulation dengan menggunakan metode gasing sebagai implementasi kurikulum merdeka Muhammad Iman Darmawan; Shofwatunnida Septarini; Hadian Mandala Putra; Istajir Adi Gunawan; Yogi Istamil Ali Majdi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 2 (2025): March
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i2.29811

Abstract

Abstrak Pembelajaran fisika merupakan mata pelajaran yang mendapatkan perhatian penuh, karena dalam penerapannya terdapat berbagai kendala baik guru, siswa maupun sarana dan prasarana yang ada disekolah. Oleh karena itu perlu vaariasi model pembelajaran yang diterapkan dengan bantuan media yang baik dan tepat untuk diterapkan dalam pembelajaran fisika. Tujuan pengabdian ini meningkatkan minat belajar fisika dengan integrasikan aplikasi PHET dengan metode gasing. Pengabdian ini dilaksanakan di Madrasah Aliyah Negeri 1 Lombok Timur dengan di uji cobakan pada kelas XII MIA sejumlah 90 orang siswa pada uji skala besar dan 10 orang siswa pada uji coba terbatas. Dengan mengunakan metode saintifik. hal ini dibuktikan dengan analisis data nilai pembelajaran fisika dengan aplikasi PHET pada uji coba terbatas skor rata -rata baik sedangkan yang di integrasikan dengan metode gasing Analisis data yang digunakan adalah hasil prestasi belajar yang diukur melalui pre-test dan pos-test pada kelas pengujian. Hasil pre-test  dari kelas diuji gain score guna mengetahui efektifitasnya serta Implementasi metode gasing dengan aplikasi PHET dapat meningkatkan minat, aktifitas dan prestasi belajar siswa Madrasah Aliyah Negeri 1 Lombok Timur. Kata kunci: aplikasi PHET; fisika; kurikulum merdeka; metode gasing. Abstract Physics learning is a subject that gets full attention, because in its application there are various obstacles both teachers, students and facilities and infrastructure in schools. Therefore, it is necessary to vary the learning model applied with the help of good and appropriate media to be applied in physics learning. The purpose of this service is to increase interest in learning physics by integrating the PHET application with the gasing method. This service was carried out at Madrasah Aliyah Negeri 1 Lombok Timur by being tested on class XII MIA with 90 students in a large-scale test and 10 students in a limited trial. By using the scientific method. this is evidenced by the analysis of physics learning value data with the PHET application in the limited trial, the average score is good while the one integrated with the gasing method The data analysis used is the results of learning achievement measured through pre-tests and post-tests in the testing class. The pre-test results from the class were tested for gain scores to determine their effectiveness and the implementation of the gasing method with the PHET application can increase the interest, activity and learning achievement of students at Madrasah Aliyah Negeri 1 Lombok Timur. Keywords: PHET application; physics; independent curriculum; top method.
Peran Pendidikan dan Teknologi dalam Menanggulangi Masalah Gizi Anak Asroriyadi; Nurfatehaturrizky; Regita Dwi Anugerah; Rika Indi Sartika; Huswatun Aulia; Edi Wira Bakti; Masruril Hairi; Heri Sopansyah; Wahyu Maulana; Tezen; Hadiatul Rodiah; Hadian Mandala Putra; Muhammad Hikam Hakiki
Al-Tafani: Jurnal Inovasi dan Pengabdian Kepada Masyarakat Vol. 2 No. 3 (2024): November 2024
Publisher : Lembaga Einstein College

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63987/AL-TAFANI.v2i3.174

Abstract

Masalah gizi pada anak, termasuk stunting, gizi kurang, dan obesitas, menjadi tantangan besar yang memengaruhi kualitas hidup generasi mendatang. Pendidikan dan teknologi menawarkan peluang strategis untuk mengatasi masalah ini secara efektif dan berkelanjutan. Melalui pendidikan, masyarakat dapat dibekali dengan pengetahuan tentang kebutuhan gizi yang tepat, pola makan sehat, dan praktik pemberian makan yang sesuai, khususnya pada 1.000 hari pertama kehidupan. Teknologi mendukung upaya ini dengan menyediakan akses ke informasi gizi melalui alat pemantauan kesehatan, serta platform digital yang menjangkau lebih banyak kalangan. Kombinasi pendidikan dan teknologi memungkinkan penerapan program gizi berbasis data yang dapat diakses di berbagai wilayah, termasuk daerah terpencil. Dengan kolaborasi lintas sektor, seperti pemerintah, institusi pendidikan, dan pengembang teknologi, intervensi gizi dapat dirancang untuk memenuhi kebutuhan masyarakat secara lebih spesifik. Pendekatan ini diharapkan mampu meningkatkan kesadaran gizi, mengurangi prevalensi masalah gizi anak, dan menciptakan generasi yang sehat, produktif, dan berdaya saing.
Antigonon Leptopus Extract as a Renewable Energy Source Material for the Development of Dye-Sensitized Solar Cells (DSSC) Muhammad Iman Darmawan; Hadian Mandala Putra; Yogi Stiamil Ali Majdi; Istajir Adi Gunawan
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 3 (2025): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i3.1804

Abstract

Solar cells are devices composed of solar panels that convert light into electrical energy. Conventionally, energy is primarily derived from fossil fuels, which are non-renewable resources. Consequently, many researchers have sought alternative sources of energy. One such innovation is the Dye-Sensitized Solar Cell (DSSC). This study aims to investigate the effect of Antigonon leptopus flower dye as an active material in Dye-Sensitized Solar Cells (DSSC). The absorbance testing was conducted using a UV-Visible Spectrophotometer (1601 PC), while current and voltage (I–V) measurements were carried out using a Keithley instrument. The results showed that the natural dye extracted from the leaves of Antigonon leptopus exhibited an absorbance spectrum in the range of 200–800 nm. These findings suggest that Antigonon leptopus has potential as a natural sensitizer material for application in Dye-Sensitized Solar Cells (DSSC).
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
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.
Co-Authors 'Alimuddin 'Alimuddin, 'Alimuddin 'Alimudin, 'Alimudin Ahmad, Ramli Ahmadi, Ahwan Alfathani, Ahmad Soni Ali Majdi, Yogi Stiamil Alimudin Alimudin Alimudin Alimudin, Alimudin Aris Sudianto Arnila Sandi Aryani Novianti, Baiq Asroriyadi Baiq Andriska Candra Permana Baiq Vinaru Widarina Bayu Delta, Irgi Cari, Cari Dewi Patwari, Intan Komala Edi Wira Bakti Falinda, Wahyunita Fathurrahman Fathurrahman Fathurrahman, Imam Febriyanti, Erma Dwi Gunawan, Istajir Adi Habibul Muzzamil Hadiatul Rodiah Haeruzzikri, Haeruzzikri Hafifan Triadi Putra, Ahmad Hamzan Ahmadi Hasan, Muhammad Arif Heri Sopansyah Huswatun Aulia Ida Wahidah Ida Wahidah Ida Wahidah Hamzah Iman Darmawan, Iman Iman Darmawan, Muhammad Iman, Ahsanul Intan Komala Dewi Patwari Istajir Adi Gunawan Kertanah, Kertanah Khaerus Syahidi M. Nuzuluddin Masruril Hairi Moh Farid Wajdi Muh. Adrian Juniarta Hidayat Muhammad Djamaluddin Muhammad Gazali Muhammad Hikam Hakiki Muhammad Saipul Muhammad, Saiful Nur, Amri Muliawan Nurfatehaturrizky nurhidayati, nur ida Nurul Hidayati Nuzuluddin, M Nuzuluddin, M. Nuzuluddin, Muhammad Purwa, Lalu Sahibul Putri, Intan Komala Dewi Rahadi, Irwan Ramdan, Muh. Rais Regita Dwi Anugerah Rika Indi Sartika Ristu Haiban Hirzi, Ristu Sabar Sabar Sapiruddin, Sapiruddin Satriadi, Ari Shofwatunnida Septarini Siti Marhamah Siti Sa’adah Sobri, Muhammad Imtihan Suhartini Suhartini Suhartini Suhartini, Suhartini Taufik Akbar Taufik Akbar Taufik Rauhul Hidayat Tezen Tiara Febrianti Wahyu Maulana Wahyu Rizki Wijaya, Lalu Kerta Yogi Istamil Ali Majdi Yogi Stiamil Ali Majdi