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All Journal Jurnal Pengajaran MIPA Jurnal Manajemen Bisnis TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnas Nasional Teknologi dan Sistem Informasi ELINVO (Electronics, Informatics, and Vocational Education) Information System for Educators and Professionals : Journal of Information System ILKOM Jurnal Ilmiah Jurnal ULTIMA InfoSys JURNAL PENDIDIKAN TAMBUSAI EDUKATIF : JURNAL ILMU PENDIDIKAN Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Litbang Edusaintech International Journal of Regional Innovation Brilliance: Research of Artificial Intelligence Jurnal Pendidikan Vokasi Raflesia Jurnal Desain Komunikasi Visual Nirmana Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Jurnal Sains dan Ilmu Terapan JATIKOM: Jurnal Aplikasi dan Teori Ilmu Komputer Jurnal Guru Komputer Scientific Journal of Informatics Jurnal PETISI (Pendidikan Teknologi Informasi) Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat)
Rasim, Rasim
Universitas Pendidikan Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Community education about stunting in Neglasari Village Tasikmalaya Regency Agim Agustiar Priyadi; Ahmad Julkipli; Rasim Rasim
Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat) Vol. 2 No. 1 (2024): Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/dedicated.v2i1.62353

Abstract

Stunting is a problem of malnutrition caused by providing food that does not meet nutritional needs. It also reflects stunted growth due to poor nutrition and poor health before and after birth. Based on service in Neglasari Village, the main problem was identified: the lack of public understanding about stunting and related information. Even though the stunting rate in Neglasari Village is relatively low, it is essential to create awareness and preventive efforts. Therefore, this service aims to educate the people of Neglasari Village, Salawu District, and Tasikmalaya Regency regarding stunting. The method applied in this service is counseling for one month at every Posyandu in Neglasari Village. The service team provides education in collaboration with village officials and community health centers to conduct outreach related to stunting in Neglasari Village. Based on the results of the service implementation, it can be concluded that there is still a lack of public awareness regarding nutritional aspects, economic factors, exclusive breastfeeding, complementary feeding, and genetic factors of parents in Neglasari Village. It is hoped that implementing this service activity will be an effort to reduce stunting rates in Indonesia.   Abstrak Stunting merupakan masalah kurang gizi yang disebabkan oleh pemberian makanan yang tidak sesuai dengan kebutuhan gizi. Hal ini juga mencerminkan pertumbuhan terhambat akibat gizi buruk dan kesehatan yang kurang baik pada periode sebelum dan sesudah kelahiran. Berdasarkan pengabdian di Desa Neglasari, teridentifikasi permasalahan utama yakni kurangnya pemahaman masyarakat tentang stunting serta kekurangan informasi terkait. Meskipun angka stunting di Desa Neglasari terbilang rendah, penting untuk menciptakan kesadaran dan upaya pencegahan. Oleh karena itu, tujuan pengabdian ini adalah memberikan edukasi kepada masyarakat Desa Neglasari, Kecamatan Salawu, Kabupaten Tasikmalaya, terkait stunting. Metode yang diterapkan dalam pengabdian ini adalah penyuluhan selama satu bulan di setiap Posyandu di Desa Neglasari. Kelompok KKN Desa Neglasari memberikan edukasi bekerja sama dengan perangkat desa dan puskesmas untuk pelaksanaan penyuluhan berkaitan dengan stunting di Desa Neglasari. Berdasarkan hasil pelaksanaan pengabdian dapat diambil simpulan bahwa masih kurangnya kesadaran masyarakat mengenai aspek gizi, faktor ekonomi, pemberian ASI eksklusif, pemberian MPASI, dan faktor genetik dari orang tua di Desa Neglasari. Pelaksanaan kegiatan pengabdian ini diharapkan menjadi salah satu upaya untuk menurunkan angka stunting di Indonesia.   Kata Kunci: Anak; edukasi masyarakat; stunting 
Increasing health literacy efforts to provide education to prevent stunting in Neglasari Village Rosa Salma Febriliani; Saniyah Supwatunnida; Rasim Rasim
Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat) Vol. 2 No. 1 (2024): Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/dedicated.v2i1.62341

Abstract

Neglasari Village is one of the villages in Salawu District, Tasikmalaya Regency, West Java. Neglasari Village is one of those who are still experiencing stunting cases. A community service program in the form of Kuliah Kerja Nyata (KKN) contained in this article aims to find out stunting data, as well as stunting prevention, by going through several health literacy as outlined in the work program that has been carried out. Creating a work program related to health literacy will educate the public about the importance of knowing about stunting, and the program will raise public awareness about stunting. This community service was conducted through observations and interviews with several parties in Neglasari Village. The results found that 34 children were stunted, and the number had decreased to 20 people who had passed stunting. Therefore, the data obtained decreased by 58 percent for those who passed stunting, and the remaining 41.2 percent were still stunted. This is because educational activities are related to preventing stunting in the community and routine activities from posyandu in Neglasari Village.   Abstrak Desa Neglasari merupakan salah satu desa yang berlokasi di Kecamatan Salawu Kabupaten Tasikmalaya, Jawa Barat. Desa Neglasari menjadi salah satu yang masih mengalami kasus stunting. Program pengabdian dalam bentuk Kuliah Kerja Nyata (KKN) yang dimuat dalam tulisan ini bertujuan untuk mengetahui data stunting, serta pencegahan stunting dengan melalui beberapa literasi kesehatan yang dituangkan dalam program kerja yang telah dilakukan. Dibuatnya program kerja yang berkaitan dengan literasi kesehatan untuk mengedukasi kepada masyarakat mengingat bahwa pentingnya memiliki pengetahuan mengenai stunting, serta dengan program tersebut akan memberikan kesadaran pada masyarakata mengenai stunting. Pengabdian ini dilakukan dengan observasi dan wawancara kepada beberapa pihak Desa Neglasari. Hasil yang ditemukan bahwa terdapat 34 orang anak yang mengalami stunting dan telah menurunnya angka tersebut menjadi 20 orang yang telah lolos stunting. Maka dari itu, data yang didapat mengalami penurunan sebanyak 58 persen bagi yang lolos stunting dan tersisa 41.2 persen masih stunting. Hal tersebut karena adanya kegiatan edukasi terkait cegah stunting kepada Masyarakat dan adanya kegiatan rutin dari posyandu di Desa Neglasari.   Kata Kunci: edukasi; program literasi; pencegahan stunting 
Rancang Bangun Sistem Manajemen Akademik Mahasiswa Berbasis Mobile Multiplatform Menggunakan Flutter Muhammad Fahru Rozi; Herbert Siregar; Yudi Ahmad Hambali; Rasim Rasim
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.436

Abstract

Perkembangan teknologi mobile mendorong kebutuhan akan sistem informasi manajemen akademik yang dapat diakses secara optimal melalui perangkat mobile. Sistem akademik berbasis web yang ada saat ini mengalami kendala responsivitas dan pengalaman pengguna yang kurang memuaskan ketika diakses dari perangkat mobile. Penelitian ini bertujuan untuk merancang dan membangun sistem manajemen akademik mahasiswa berbasis mobile multiplatform menggunakan Flutter. Metodologi penelitian meliputi studi literatur, analisis kebutuhan, perancangan sistem dengan pendekatan modular tiga lapisan, implementasi menggunakan Flutter SDK dan Dart, serta pengujian black-box testing. Arsitektur sistem mencakup Flutter client, API gateway, layanan backend modular, database PostgreSQL, dan responsive. Hasil implementasi menghasilkan aplikasi dengan fitur autentikasi pengguna, jadwal kuliah interaktif, media sosial mikro, direktori kontak, informasi nilai dan transkrip yang berjalan optimal pada Android dan iOS. Pengujian komprehensif menunjukkan semua fitur berfungsi sesuai spesifikasi yang ditetapkan. Penelitian ini memberikan kontribusi berupa blueprint sistem akademik mobile multiplatform yang dapat mengurangi kompleksitas pengembangan dibandingkan pendekatan native terpisah, sekaligus membuktikan efektivitas Flutter dalam menghasilkan aplikasi dengan performa mendekati native untuk sektor pendidikan tinggi di Indonesia.
Development of Augmented Reality Learning System Based on Kolb's Experimential Learning Model Rasim Rasim; Seni Siti Inayah; Yudi Ahmad Hambali; Eka Fitrajaya Rahman; Dwi Novia Al Husaeni
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 11 No. 1 (2026): May 2026
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v11i1.90265

Abstract

Students’ learning motivation often decreases when the learning method does not align with their individual learning styles, posing a challenge for effective and meaningful education. Augmented Reality (AR) technology offers an interactive solution to increase student engagement. This study aims to develop an AR-based learning system adapted to Kolb’s learning styles: Diverger, Assimilator, Converger, and Accommodator, to support personalized and enjoyable learning. The system was developed using the ADDIE model and an object-oriented approach. Evaluation involved black box testing and user testing based on the Technology Ac-ceptance Model (TAM). Results showed over 80% of students were satisfied with the application, 75% found learning more interesting, and approximately 70% demonstrated increased active participation. TAM analysis revealed an average score of 80.26 and a positive correlation between perceived ease of use and motivation. The application encourages deeper exploration of material and boosts students’ confidence in facing academ-ic challenges. In conclusion, the developed system effectively supports technology-based personalized learn-ing. Its implication suggests that AR integration in education can enhance learning quality and serve as a foundation for future intelligent systems incorporating artificial intelligence.
Markerless versus marker-based augmented reality: comparative usability insights from a museum context Lanto Ningrayati Amali; Muhammad Rifai Katili; Arif Dwinanto; Rasim Rasim
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.11286

Abstract

Augmented reality (AR) has become a pivotal tool for enhancing museum engagement through interactive experiences. This study developed and evaluated an Android-based AR application for the Popa Eyato Archaeological Museum, comparing marker-based (Vuforia), and markerless (EasyAR) tracking methods. While previous studies often focus on technical development, this research provides empirical insights into usability within the Southeast Asian Museum context. Using a mixed-methods approach with 35 participants, the application was evaluated using the system usability scale (SUS) and handheld augmented reality usability scale (HARUS). Results show that the application achieved an average SUS score of 78, classified as “Good” and “Acceptable”. The comparative analysis reveals that while marker-based AR offers higher stability, markerless AR provides greater flexibility for spatial exploration. However, environmental factors like museum lighting significantly impact markerless tracking performance. These findings offer practical recommendations for museum curators and AR designers in selecting appropriate tracking technologies based on infrastructural constraints and visitor demographics. The study concludes that balancing technical stability with user mobility is essential for optimizing digital heritage preservation and educational engagement in regional museums.
Analysis of Direct Scoring and Similarity-Based Scoring Approaches in Automatic Short Answer Scoring (ASAS) Bayu Wicaksono; Rasim Rasim; Yaya Wihardi
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6275

Abstract

In the era of digital education, the need for automated scoring systems for short text answers has been steadily increasing. Automatic Short Answer Scoring (ASAS) aims to automate this assessment process with efficient and consistent approaches. Two commonly used approaches in ASAS are direct scoring and similarity-based scoring. Although these two approaches have been widely used, previous research has mostly focused on metrics like RMSE and Pearson Correlation to assess model performance. This study aims to provide a more in-depth analysis by comparing both approaches in two evaluation scenarios, specific-prompt and cross-prompt, by evaluating the accuracy and stability of the models. The dataset used in this study is the Rahutomo dataset. The results of the analysis show that direct scoring outperforms similarity-based scoring in terms of lower RMSE, higher Pearson Correlation, and fewer outliers. In the specific-prompt scenario, an RMSE of 0.0817 and a Pearson Correlation of 0.9504 were obtained, while in the cross-prompt scenario, the RMSE was 0.0917 and the Pearson Correlation was 0.9286. This study provides a more comprehensive insight into model performance by not only relying on evaluation metrics but also examining the distribution of residuals and outliers, which offers a more complete picture of model stability. Based on these findings, direct scoring is recommended for implementation in ASAS systems and for future research that can extend the analysis to other datasets or languages.
Facial Expression Recognition of Students in Classroom Using Hybrid MobileNetV3-Vision Transformer with Token Downsampling Mochamad Khaairi; Rasim Rasim; Yaya Wihardi
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6323

Abstract

In large classroom environments, teachers often struggle to monitor each student’s facial expression throughout the learning process. Yet, facial expressions are important indicators of students’ emotional states and engagement, which, when detected in real time, can support a more adaptive learning experience. Most previous research on Facial Expression Recognition (FER) has relied on Convolutional Neural Networks (CNN), which tend to be limited in capturing global relationships between facial features. Additionally, many studies focus on model accuracy without evaluating their practical effectiveness in real classroom settings. This study aims to develop a facial expression recognition model that is both accurate and efficient for use in classroom contexts. A hybrid Vision Transformer (ViT) architecture is proposed, which combines MobileNetV3 for local feature extraction and a Vision Transformer for global context modeling. To reduce the number of tokens and computational cost, a Token Downsampling method is introduced within the transformer blocks. The model is trained using the FER2013 dataset and achieves a test accuracy of 71.24%, surpassing the baseline pretrained ViT model, which reached only 70.10%. Additionally, the Token Downsampling method improves inference speed. Furthermore, the model is tested on a custom dataset collected from students in a real classroom setting to evaluate its performance in practical implementation. Although the performance on the classroom dataset is not yet optimal, the results on FER2013 demonstrate the potential of this approach for further development toward real-time and accurate facial expression recognition in educational environments.
An Optimized YOLOv7-Based Object Detection Framework Leveraging Low-Light Image Enhancement to Improve Accuracy Rasim Rasim; Farhan Nurzaman; Yaya Wihardi; Herbert Siregar; Samialloi Nusratullo
ILKOM Jurnal Ilmiah Vol 18, No 2 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i2.3102.207-220

Abstract

Low-light environments remain a persistent challenge in computer vision, often leading to notable degradation in object detection performance. This is primarily caused by reduced contrast, increased noise, and the loss of critical visual details, all of which hinder reliable feature extraction. To address these limitations, this study proposes an integrated framework that combines Zero-Reference Deep Curve Estimation (Zero-DCE) for adaptive image enhancement with the YOLOv7 architecture for efficient and accurate object detection. The study was conducted through a structured pipeline consisting of several key stages: (1) preparation of the ExDark, NOD, and LOD datasets; (2) preprocessing, including annotation and labelling; (3) low-light image enhancement using Zero-DCE; (4) dataset selection, partitioning, and utilization; (5) image resizing to ensure model compatibility; (6) model development, comprising both a baseline YOLOv7 model and an enhanced Zero-DCE + YOLOv7 configuration; and (7) performance analysis and evaluation using mean Average Precision (mAP) as the primary metric. Experimental results demonstrate that the integration of Zero-DCE with YOLOv7 improves detection performance, with mAP@0.5 increasing from 0.785 in the baseline model to 0.794. Although the improvement is modest, it is consistent and indicates the effectiveness of incorporating illumination enhancement into the preprocessing stage. In addition, this study’s contribution lies in demonstrating that the proposed framework enhances the robustness of object detection systems under challenging lighting conditions without incurring significant computational overhead.
Prinsip Animasi 3D Komputer dalam Film Animasi dan Implementasinya: Sebuah Kajian Literatur Akmal Zulkifli; Muhamad Firdaus; Rasim Rasim; Fitra Bona Sari; Ira Fazira
Jurnal Desain Komunikasi Visual Nirmana Vol. 25 No. 2 (2025): JULY 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/nirmana.25.2.152-164

Abstract

Animasi 3D komputer mengalami kemajuan signifikan dalam dekade terakhir. Pesatnya perkembangan teknologi informasi dan perangkat lunak desain grafis membawa animasi 3D ke tingkat yang lebih maju dari sebelumnya yang menuntut pemahaman mendalam para animator tentang prinsip-prinsip animasi dasar. Penelitian ini bertujuan untuk menyelidiki penerapan prinsip-prinsip animasi dalam film animasi 3D serta memahami sejauh mana prinsip-prinsip animasi tersebut diterapkan dalam film animasi 3D.  Metode penelitian yang digunakan adalah SLR dengan kriteria rancangan PICOC (Population, Intervention, Comparison, Outcome, Context). Data diambil dari paper jurnal yang diterbitkan antara tahun 2013-2023. Dalam penelitian ini, terdapat lima research question yang menjadi panduan utama. Temuan akhir menunjukkan analisis penerapan prinsip-prinsip animasi dalam film animasi 3D menunjukkan bahwa hampir semua produksi animasi mengadopsi prinsip-prinsip animasi, meskipun dengan penekanan yang berbeda. Kepiawaian animator dalam menguasai prinsip-prinsip animasi berdampak langsung pada kesuksesan film animasi. Penerapan prinsip-prinsip animasi juga memengaruhi ekspresi karakter dan kesan visual. Selain itu, penggunaan prinsip-prinsip animasi dalam pembelajaran memiliki potensi besar untuk memperkaya pengalaman belajar dan mencapai hasil pembelajaran yang lebih optimal.
Co-Authors Agim Agustiar Priyadi Ahmad Julkipli Akmal Zulkifli Al-Kadzim, Muhammad Ghiyats Aldi Zainafif Alif Ismail Salem Andy Agustian Ani Anisyah Anisyah, Ani Armein Z.R. Langi Basthatan Ilham Alhamid Bayu Wicaksono Darojat, Wildan Mauli Dedi Rohendi Dicky Kurniawan Dita Fauzia Dwi Novia Al Husaeni Dwinanto, Arif Eka Fitrajaya Eka Fitrajaya Rahman Elisa Rosa Enjang Ali Nurdin Enjun Junaeti Erlangga Erlangga Farhan Nurzaman Fatimah, Siti Fina Royana Fitra Bona Sari Herbert Siregar Indah Resti Fauzi Ira Fazira Jajang Kusnendar Judie, Rizky Rachman Julianti, Sukma Lala Septem Riza Lala Septem Riza Lanto Ningrayati Amali Lavianti, Desi M Munir Mahphoth, Mohd Halim bin Mochamad Khaairi Muhamad Firdaus Muhammad Fahru Rozi Muhammad Nursalman Munir Munir Munir Munir Munir Munir, Munir Nadhief Athallah Isya Nursalman, Muhammad Piantari, Erna Puput Yuniar Maulida Puspo Dewi Dirgantari Putro, Budi Laksono Rangga Destian Ranggana, Alfaza Rani Megasari Rani Megasari Rosa Salma Febriliani Rosa, Elisa Rully Nurul Hasanah Samialloi Nusratullo Saniyah Supwatunnida Seni Siti Inayah Septem Riza, Lala Shafarin, Anti Nuraulia Shah Nazir Siregar, Herbert Sofyan, Muhammad Hilmy Rasyad Sondari Setia Rahayu Subarna, Bambang Sumitra, Desfasa Ilham Syafri Syamsudin, Muhammad Tio Ardiyanto Ully, Rona W. Wahyudin Wahyudin Wahyudin Wawan Setiawan Wihardi, Yaya Yandi, Zidan Fitri Yaya Wihardi Yaya Wihardi Yessi Nurul Fadziah Yudi Ahmad Hambali Yusep Rosmansyah Zulkifli, Akmal