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All Journal Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Pendidikan Teknologi Pertanian Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Dedikasi Information Technology Education Journal Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Jurnal Sipakatau
Mudarris Mudarris
Universitas Negeri Makassar
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Other

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PAPAKINOTO (PENEBAR PAKAN IKAN OTOMATIS) ‘UPAYA PENINGKATAN PRODUKSI DAN EFIISIENSI WAKTU BUDIDAYA TAMBAK IKAN TAWAR MASYARAKAT BELAWA KABUPATEN SOPPENG” Wahyuni, Sri; Mudarris, Mudarris; Askar, Ambo; Ayusnin, Siti Reski; Zain, Satria Gunawan
Jurnal Pendidikan Teknologi Pertanian Vol 4, No 2 (2018): Agustus
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.503 KB) | DOI: 10.26858/jptp.v4i2.6611

Abstract

PAPAKINOTO is an additional technology requirement for freshwater pond fishermen. This tool consists or Arduino Atmega 16 microcontroller circuit as a control center in the distribution of fish feed. Using of this tool will set the schedule of fish tool will set the schedule of fish automatically after the pre-arranged center control. From the system test conducted  that fish feed was scheduling system and fish distribution successfully with 100% rate of success. All systems designed by the team are considered successful because the tool runs well
Implementasi Sensor Inertial Measurement Unit (IMU) untuk Monitoring Perilaku Roket Mudarris Mudarris; Satria Gunawan Zain
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 2, No 1 (2020): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v2i1.610

Abstract

This paper examines the Implementation of the Inertial Measurement Unit (IMU) Sensor for Monitoring Rocket Attitude. The monitored rocket attitude data is in the form of vibration which is generated by the payload during the functional test and flight speed, acceleration and direction flight test. The rocket payload device is mounted in the rocket compartment for the function of measuring rocket behavior. Data is sent to ground stations via telemetry devices use baud rate of 57600. Based on the results of G-Shock, G-Force and Vibration testing shows that the payload can work well. In accordance with the results of reading the data on the Graphical user Interface (GUI) can be displayed and shows the rocket payload works well. This rocket payload can transmit data remotely. 
ROCKET LOAD TEST BASED ON INERTIAL MEASUREMENT UNIT SENSOR IN SUPPORTING NATIONAL AIR DEFENSE Mudarris Mudarris; Muhammad Romario Basirung; Iris Sumariyanto
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 8, No 1 (2022)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v8i1.1496

Abstract

The development of rocketry and rocket payload technology is very rapid in the industrial era 4.0. Rockets are usually used as dynamic sensors or carriers for specific missions for sensing and retrieving data from space for meteorological, military, etc. This article aims to design, realize and test a Rocket Payload Monitoring System Based on an Inertial Measurement Unit (IMU) Sensor to monitor the condition of the payload movement behavior. Rocket Payload is a substance carried in a Payload Test Rocket (RUM) in the form of a cylindrical payload. This research focuses on designing a Graphical User Interface (GUI) application to display data in real-time. The type of research used is Research and Development (R&D) with a prototyping development model. The results obtained in the form of Rocket Payload Design and GUI design can be concluded that the GUI application can visualize all sensor and camera data in real-time.
Pengukuran Pengaruh Ketinggian Terhadap Tekanan Udara Menggunakan Sensor IMU-10-DOF Pada Muatan Roket Mudarris Mudarris; Munzir Munzir
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 1, Issue 1, Juni 2023
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/micronic.v1i1.20231

Abstract

Sistem muatan roket untuk mengukur parameter atmosfer berbasis sensor Inertial Meansurement Unit (IMU) merupakan salah satu metode yang bisa dilakukan untuk mengukut keadaan atmosfer termasuk mengukur tekanan udara berdasarkan ketinggian tempat Dari Permukaan Laut (DPL) atau biasa disebut altitude. Dunia penerbangan biasanya sangat terpengaruh terhadap tekanan udara terutama pada saat pesawat ingin lepas landas dan mendarat, karena akan mengurangi daya angkat pesawat. Selain itu tekanan udara juga mempunyai dampak terhadap kesehatan manusia. Maka dari itu pentingnya mengetahui tekanan udara di tempat-tempat tertentu. Pada penelitian ini menggunakan metode regresi linear untuk mengetahui bagaimana hubungan antara ketinngian DPL terhadap tekanan udara. Berdasarkan hasil pengamatan menggunakan muatan roket dan hasil uji dari penelitian ini terdapat pengaruh negatif (tidak searah) antara ketinggian DPL dan tekanan udara terbukti dari koefisien regresi bernilai negatif (-0,999), hasil uji ditemukan -t hitung < -t tabel (-213,175 < -1,987), dan nilai signifikan lebih kecil dari 0,05 (0.00 < 0.05). Hal ini berarti semakin rendah suatu tempat dari permukaan laut (DPL) maka tekanan udara akan semakin meningkat.
Penerapan Teknologi Augmented Reality (AR) dan Virtual Reality (VR) untuk Meningkatkan Kompetensi Siswa SMK dalam Praktik Pemesinan: Studi Kasus di SMK 10 Makassar Baharuddin, Fiskia Rera; Fathahillah, Fathahillah; Rahman, M. Haristo; Mudarris, Mudarris; Triantini, Dewi
DEDIKASI Vol 26, No 2 (2024): JURNAL DEDIKASI
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/dedikasi.v26i2.68608

Abstract

Abstrak. Era Revolusi Industri 4.0 menuntut adanya peningkatan kualitas pendidikan vokasi untuk menyiapkan tenaga kerja yang mampu beradaptasi dengan teknologi modern. Pendidikan vokasi di Indonesia, khususnya di tingkat sekolah menengah kejuruan (SMK), masih menghadapi tantangan dalam mengajarkan keterampilan yang sesuai dengan tuntutan industri. Artikel ini membahas program pengabdian masyarakat yang dilakukan di SMK 10 Makassar, yang bertujuan untuk meningkatkan kompetensi siswa dalam praktik pemesinan melalui penggunaan teknologi Augmented Reality (AR) dan Virtual Reality (VR). Melalui pelatihan berbasis AR dan VR, siswa diharapkan dapat lebih memahami konsep pemesinan yang kompleks dan mengembangkan keterampilan yang relevan dengan kebutuhan industri modern. Hasil pre-test dan post-test menunjukkan peningkatan yang signifikan dalam pemahaman teknis dan keterampilan siswa, yang juga diperkuat melalui uji statistik. Artikel ini memberikan panduan pelaksanaan, hasil, dan kesimpulan dari penerapan teknologi AR dan VR dalam pendidikan vokasi sebagai upaya menjembatani kesenjangan antara pendidikan dan industri. Kata Kunci: Augmented Reality, Virtual Reality, Pendidikan Vokasi, Praktik Pemesinan, Kompetensi Siswa, Revolusi Industri 4.0
Penerapan Teknologi Tepat Guna Berbasis Energi Surya untuk Pengolahan Hasil Pertanian Menjadi Berbagai Produk Industri Rumah Tangga Muhammad Hasim S; Sumariyanto, Iris; Wahyudi; Akmal Hidayat; Mudarris
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 1 Issue 3 April 2024: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i3.248

Abstract

Indonesia sebagai negara agraris memiliki potensi besar dalam pengolahan hasil pertanian. Namun, sebagian besar hasil pertanian masih diolah menjadi produk mentah dengan nilai ekonomi rendah. Pengolahan hasil pertanian menjadi produk industri rumah tangga secara tradisional tidak efisien, mengakibatkan banyak hasil panen terbuang. Solusi untuk meningkatkan efisiensi adalah dengan menerapkan teknologi tepat guna berbasis energi surya. Energi surya, sebagai sumber energi terbarukan yang ramah lingkungan, dapat mengurangi penggunaan bahan bakar fosil dan emisi gas rumah kaca, sekaligus meningkatkan pendapatan masyarakat. Pengabdian menunjukkan bahwa penerapan teknologi tepat guna untuk pengolahan hasil pertanian menjadi berbagai produk industri rumah tangga berbasis energi surya lebih efisien dan memenuhi standar mutu. Manfaatnya meliputi peningkatan ekonomi, kelestarian lingkungan, dan optimalisasi produktivitas. Metode pelaksanaan melibatkan tujuh tahapan community development mulai dari penyadaran hingga pemeliharaan dan pengembangan teknologi.
Understanding the TPACK Framework Among Technical Students: Evidence from Civil Engineering and Planning at UNM Haristo Rahman, Muhammad; Mudarris; Hidayat, Akmal
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7681

Abstract

In an era of digital transformation, the integration of technology in education has become indispensable—especially in technical disciplines such as civil engineering. This study explores how students in the Civil Engineering and Planning program at Universitas Negeri Makassar perceive their competence within the Technological Pedagogical and Content Knowledge (TPACK) framework. Utilizing a quantitative descriptive design, a structured survey was administered to 75 students to assess their self-reported proficiency in the domains of technological, pedagogical, and content knowledge. The results indicate strong confidence in the use of technology for content comprehension and problem-solving, while moderate scores were observed in pedagogical and integrative dimensions of TPACK. These findings reveal both strengths and gaps in students’ readiness to apply TPACK holistically, highlighting the need for curriculum innovation that balances technical fluency with pedagogical strategy. The study extends the application of the TPACK framework beyond teacher education, offering insights for advancing instructional competence in engineering education. Recommendations for future research include triangulated methods, longitudinal studies, and cross-disciplinary comparisons to enrich understanding of TPACK adoption in higher technical education.
Landslide Early Warning System Based on Multi Sensors and Artificial Internet of Things (AIoT) : A Review Mudarris
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 2, Issue 1, Juni 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/micronic.v2i1.242

Abstract

Landslides occur due to shifting soil, flooding, and rainfall with high intensity of rain resulting in excessive water content in the ground. It takes a system that can acquire data in the field to predict the occurrence of landslides. Slope condition analysis is an analysis that must be carried out to find out how fast and appropriate action must be taken if the slope collapses or landslides. This study focuses on developing an effective Landslides Early Warning System (LEWS) that provides real-time information. In the literature study to understand some of the methods used based on previous research. This survey follows the steps by conducting a research question (RQ), then searching and observing previous research from the journal database. Based on ten articles, this study concludes that currently, there are various types of people who use Machine Learning taken from GIS Maps, use geosensors to detect ground shifts, detect rain to anticipate landslides on mountain slopes, and use Lo-Ra radio to transmit information on ground displacement. Based on the literature review that has been carried out, a LEWS system design using multiple sensors and the Artificial Internet of Things (IoT) can be developed.
Pengenalan dan Pemanfaatan Kecerdasan Buatan Multiplatform untuk Pengembangan Bahan Ajar Digital yang Adaptif dan Konstektual misbahuddin, azizah fauziah; Nuran, Andi Shridivia; Faisal, Andi Nur; Mudarris; Udin
Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): Jurnal Pengabdian Masyarakat (AbdiMas)
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/abdimas.v3i1.8411

Abstract

Pesatnya perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) memberikan peluang besar dalam dunia pendidikan, khususnya dalam pengembangan bahan ajar digital yang lebih adaptif dan kontekstual. Namun, pemanfaatan teknologi ini di kalangan guru, khususnya di daerah seperti Kabupaten Barru, masih tergolong rendah akibat keterbatasan pengetahuan dan keterampilan teknis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan dan melatih para guru di SMKN 5 Barru dalam menggunakan platform AI untuk menyusun bahan ajar digital yang sesuai dengan karakteristik siswa dan konteks lokal. Metode pelaksanaan kegiatan meliputi ceramah, demonstrasi penggunaan AI multiplatform (seperti ChatGPT, Canva AI, dan tools edukatif lainnya), serta praktik langsung yang didampingi oleh tim pelaksana. Evaluasi dilakukan melalui pre-test dan post-test serta penilaian terhadap produk bahan ajar yang dikembangkan peserta. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan guru, di mana sebanyak 80% peserta mampu mengintegrasikan AI ke dalam proses pengembangan bahan ajar digital. Kegiatan ini membuktikan bahwa pelatihan berbasis praktik langsung dan penggunaan teknologi yang aplikatif dapat meningkatkan kapasitas guru dalam menghadirkan pembelajaran yang lebih inovatif dan relevan dengan kebutuhan peserta didik. Kegiatan ini diharapkan menjadi awal dari transformasi digital dalam proses pembelajaran di sekolah vokasi.
Digital Distraction Analysis Using Machine Learning Models to Understand the Impact of Social Media and Risky Use on College Students as Gen Z Mudarris, Mudarris; Anshari, Ahmad; Basirung, Muhammad Romario
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.9830

Abstract

Research on digital distraction among Generation Z students shows that excessive social media use has significant impacts on academic, psychological, and social aspects. Gen Z, who on average own a smartphone before the age of 18 and spend 6–8 hours per day on digital platforms, are susceptible to impaired concentration and decreased academic achievement due to multitasking while studying. Analysis using the Extreme Gradient Boosting (XGBoost) machine learning model identified that the dominant factors influencing digital distraction are negative perceptions of mental health due to social media, feelings of guilt after excessive scrolling, and a tendency to lose time due to short content that offers instant gratification. The study also found that the 18–21 age group with a usage duration of more than six hours per day, especially before bed, is most at risk of experiencing sleep disorders, stress, and a decreased GPA. From a social aspect, the habit of spending time online reduces real interactions and weakens students' social skills. Thus, digital distraction is not only an individual problem, but also a collective one, necessitating interventions in the form of digital literacy education, strengthening study time management, limiting device use before bed, and providing alternative positive activities. This research confirms that the use of machine learning is able to provide an accurate predictive picture of risk patterns, so that the results are useful for academics, technology developers, policy makers, and educational institutions to design more targeted mitigation strategies for the most affected generations.
Co-Authors Akmal Hidayat Akmal Hidayat Anshari, Ahmad Askar, Ambo Ayusnin, Siti Reski Basirung, Muhammad Romario Dewi Triantini Faisal, Andi Nur Fathahillah Fathahillah Fiskia Rera Baharuddin Misbahuddin, Azizah Fauziah Muhammad Haristo Rahman Muhammad Hasim S Muhammad Romario Basirung Munzir Munzir Nuran, Andi Shridivia Sri Wahyuni Sumariyanto, Iris Sumariyanto, Iris Udin WAHYUDI