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Nursalim
Universitas Muhammadiyah Palu
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MEMBANGUN JIWA PEKA (PRODUKTIF, EDUKATIF, KOOPERATIF, DAN AKSI) PADA KARANG TARUNA DI DESA WANI II KECAMATAN TANANTOVEA KABUPATEN DONGGALA Rizal; Nursalim
Sambulu Gana : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2025): September 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/sambulu_gana.v4i3.8528

Abstract

This community service program aims to develop a sensitive spirit among the younger generation by strengthening the productive, educational, cooperative, and action-oriented aspects of Karang Taruna members in Wani II Village, Tanantovea District, Donggala Regency. The challenges faced include low youth participation in positive activities, underutilization of their potential, and the influence of negative lifestyles that can harm their future. The program's implementation methods included outreach, workshops, skills training, mentoring, and social action activities involving all Karang Taruna members. Results demonstrated increased motivation and social awareness among members, improved organizational management and entrepreneurship skills, and the creation of stronger collaboration among youth. Through this program, Karang Taruna in Wani II Village has transformed into a platform for developing youth character and creativity, while simultaneously serving as a driving force for social development at the village level
UNDERSTANDING MICROCONTROLLERS AND ROBOTICS THROUGH THE APPLICATION OF INQUIRY METHODS IN BASIC ELECTRONICS COURSES Cut Susan Octiva; Maryadi, Maryadi; Dikky Suryadi; Nursalim, Nursalim; T. Irfan Fajri
Jurnal Cakrawala Ilmiah Vol. 3 No. 12: Agustus 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This analysis aims to explain the understanding of microcontrollers and robotics through the application of inquiry methods in basic electronics courses. The type of research used is classroom research. The sample of this study was 40 private campus students in Medan City who were taken randomly. This quantitative method uses inquiry methods learning model. The results of the study indicate that the application of the inquiry method can make students understand microcontrollers and robotics in basic electronics courses
Impact of Using Big Data Analisys in Increasing Personalization of Learning Rahmawati, Rahmawati; Nursalim, Nursalim; Alfiah, Agry; Hasyim, Andi; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.906

Abstract

In today’s digital era, big data analytics has become a very relevant topic to improve learning personalisation as it can collect and analyse very large and complex data. Big data analytics can lead to a more efficient learning system by collecting and analysing huge and complex data. In education, big data analytics can be used to understand students’ learning behaviour, their needs and preferences, so that learning and learning outcomes can be improved. This research is conducted with the aim of using big data analytics to improve learning personalisation. It also aims to find out the challenges of using big data analytics to improve learning personalisation. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the research results, it can be seen that the big data analysis has shown that the use of more detailed and accurate data can help teachers find students’ special needs and improve learning effectiveness. As a result, teachers can create learning strategies that are better suited to students’ needs and improve their learning outcomes. From this study, we can conclude that the use of big data analytics in improving personalisation allows teachers to understand better the individual needs and preferences of students, so that more suitable learning plans can be developed and student engagement can be improved.
Scale-Up Strategy of Village-Owned Enterprises in Sigi District: Institutional Transformation Towards Digitalization Umar Umar; Cahyaning Raheni; Nursalim Nursalim; Rizkiani Iskandar; Tovan Tovan; Mutmainah Mutmainah
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6109

Abstract

This study examines the strategy for improving Village-Owned Enterprises in Sigi Regency. This research aims to develop strategies through institutional transformation towards digitalization. This type of research is descriptive qualitative which aims to explore information by investigating events on the object of research through observation, interviews, and focus group discussions. The results show that out of 153 Village-Owned Enterprises in Sigi Regency, only 17 are productive out of 77 that are still active, so there is a need to increase human resource capacity and develop digital infrastructure through multi-party collaboration. The Asset-Based Community Development (ABCD) approach has an impact on the development of Village-Owned Enterprises.
Deep Learning Based Augmented Reality for 3D Object Recognition Muhamad Ziaul Haq; Nursalim Nursalim
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5431

Abstract

Augmented Reality (AR) technology is being widely adopted in various fields such as education, entertainment, and creativity. However, there are still some challenges to be overcome in recognizing and rendering three-dimensional (3D) objects accurately and in real-time. We implemented an AR system that utilizes deep learning techniques to recognize 3D objects with improved accuracy levels. Our approach involved training a Convolutional Neural Network (CNN) model using 3D object datasets captured from different viewpoints. The development included designing the network architecture, training the model, evaluating its accuracy, and integrating it into an AR platform based on Unity 3D and Vuforia SDK. The results indicated that the system could achieve recognition of the 3D objects with an average accuracy of 93.7%, precision of 92.4%, and recall of 91.8%, all while keeping response times below 0.8 seconds. Objects with complex geometries like cars and chairs had recognition rates above 94%, while those with similar textures had lower accuracy because of detailed surface complexities. It allows stable interactive visualization of objects in augmented reality even under different lighting conditions and camera angles. Combining deep learning with AR improves the quality of object recognition and provides a more realistic interactive experience. This paper discusses the advances made in AR technology toward better adaptability and efficiency, which can be applied to interactive education, industrial simulation, architecture, and medical fields.
Co-Authors Aldi Bastiatul Fawait Fawait Alfiah, Agry Andy Rachman Anwar Budi Mulyono Cahyaning Raheni Cut Susan Octiva Cut Susan Octiva Dikky Suryadi Eva Desembrianita Habibu, Rahmawati Hajra Rasmita Ngemba Hasyim, Andi I Putu Dody Suarnatha Ivonne Ayesha Jeffry Jeffry Maryadi Maryadi Muhamad Ziaul Haq Muhammad Lukman Hakim Mutmainah Mutmainah Nalis Hendrawan Novrini Hasti Nur Wahda Ayu Setiawati Rahmawati, Rahmawati Rizal Rizkiani Iskandar Roy Mubarak Siswahyudianto Sri Wahyuningsih, Suluh Suluh Sri Wahyuningsih Syarifuddin Syarifuddin Tovan Tovan Uli Wildan Nuryanto Umar Umar