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All Journal Jurnal Manajemen Bisnis Bulletin of Electrical Engineering and Informatics PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal ULTIMA InfoSys JURNAL PENDIDIKAN TAMBUSAI EDUKATIF : JURNAL ILMU PENDIDIKAN JSI (Jurnal sistem Informasi) Universitas Suryadarma JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) 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) International Journal of Information Technology and Computer Science Applications (IJITCSA) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Guru Komputer Journal of Computer Science Contributions (Jucosco) Jurnal PETISI (Pendidikan Teknologi Informasi) Orbit : Jurnal Ilmu Multidisiplin Nusantara Jurnal Komtika (Komputasi dan Informatika)
Rasim, Rasim
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Other

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Rancang Bangun Sistem Manajemen Akademik Mahasiswa Berbasis Mobile Multiplatform Menggunakan Flutter Rozi, Muhammad Fahru; Siregar, Herbert; Hambali, Yudi Ahmad; 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.
Designing User Experience Website for Culinary MSMEs Using Participatory Design Method Julianti, Sukma; Siregar, Herbert; Anisyah, Ani; Rasim, Rasim
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5313

Abstract

The advancement of digital technology serves as a pivotal driver of business transformation across various sectors, including Micro, Small, and Medium Enterprises (MSMEs). This technology provides innovative solutions to enhance operational efficiency, broaden market reach, and improve customer experiences. However, the adoption of digital technology remains inconsistent among MSMEs, as evidenced by the case of Baso Jewol Gandasari. This research aims to develop a dedicated website tailored to this MSME to facilitate digitalization, simplify order management, and expand market share. The study employs a User Experience (UX)-driven design methodology utilizing Participatory Design, which actively involves business owners and customers in the feedback collection process to ensure that the developed features align with user needs. The evaluation process was conducted using the User Experience Questionnaire (UEQ) and the System Usability Scale (SUS), engaging 30 respondents for UEQ and 29 respondents for SUS. The findings reveal UEQ scores of 2.33 for attractiveness, 2.40 for perspicuity, 2.30 for efficiency, 1.96 for dependability, 2.16 for stimulation, and 1.88 for novelty. Additionally, the average SUS score of 83 is categorized as “Excellent”, signifying a high level of user satisfaction with the website. This research makes a significant contribution by offering digitalization solutions for MSMEs, enhancing operational efficiency, and fostering positive user experiences. Future studies are recommended to incorporate additional features, such as marketing analytics and personalization, to comprehensively address the evolving needs of MSMEs.
Analysis of Direct Scoring and Similarity-Based Scoring Approaches in Automatic Short Answer Scoring (ASAS) Wicaksono, Bayu; Rasim, Rasim; Wihardi, Yaya
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 Khaairi, Mochamad; Rasim, Rasim; Wihardi, Yaya
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.
Project-Based Learning dalam Pembelajaran Proyek IoT untuk Meningkatkan Computational Thinking dan Kolaborasi Siswa: Tinjauan Literatur Sistematis Rosa, Elisa; Nursalman, Muhammad; Rasim, Rasim
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 6 No. 2 (2025): Jurnal PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v6i2.1990

Abstract

This study is a systematic literature review aimed at examining how the Project-Based Learning (PjBL) approach is applied in Internet of Things (IoT) project-based learning and its impact on the development of students' computational thinking (CT) and collaboration skills. Although few studies explicitly connect these three elements simultaneously, several studies indicate that Arduino-based projects, Scratch, and engineering principles within the PjBL context can support the enhancement of CT and collaboration, especially through interdisciplinary STEM-based approaches. The review findings suggest that IoT project-based learning with a PjBL framework holds strong potential to foster 21st-century skills. However, there remains a gap in developing integrated learning systems that combine PjBL, IoT, CT, and collaboration in a cohesive manner. Therefore, further empirical research is needed to design innovative learning models that are effective within the context of Informatics education in the digital era.
Prinsip Animasi 3D Komputer dalam Film Animasi dan Implementasinya: Sebuah Kajian Literatur Zulkifli, Akmal; Firdaus, Muhamad; Rasim, Rasim; Sari, Fitra Bona; Fazira, Ira
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

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.
Development of Computer Hardware Learning Media Using Augmented Reality: A Study on Student Engagement and Understanding Ully, Rona; Nurdin, Enjang Ali; Rasim, Rasim
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 3 (2025): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i3.17029

Abstract

This study aims to develop Augmented Reality-based learning media on computer hardware materials and investigate its impact on student understanding and engagement. The research employs the Research and Development (R&D) method with the ADDIE model. The study involved two lecturers as media experts, one informatics teacher as a material expert, and students in grades VIII-3 (control class) and VIII-4 (experimental class). Data collection techniques included interviews and questionnaires. Data analysis was conducted descriptively to assess expert validation and student involvement, as well as quantitatively through normality, homogeneity, t-test, and N-Gain calculation. The validation results showed that the media was highly feasible, with average scores of 97.5 from media experts and 62 from material experts. The N-Gain test revealed a greater increase in understanding in the experimental class (0.71) compared to the control class (0.41). Additionally, the average engagement score of students in the experimental class increased from 3.31 to 4.35, categorized as high, while the control class increased from 3.33 to 4.03, also categorized as high. The findings indicate that Augmented Reality-based learning media is feasible and effective in enhancing students' understanding and engagement with computer hardware materials.
Peran Manajemen Sekuriti Dalam Meningkatkan Pertahanan dan Keamanan Data Pribadi Akun Facebook Baszliah Nursabrina; Achmad Fauzi; Rasim, Rasim; Fajar Ramadhan; Ghaitsa Zahira Shaffa; Natasya Regita Gandawidjaya; Nailah Nurul Qalbina
Orbit: Jurnal Ilmu Multidisiplin Nusantara Vol. 1 No. 2 (2024): Orbit: Jurnal Ilmu Multidisiplin Nusantara (Desember 2024 - Februari 2025)
Publisher : Inovan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63217/orbit.v1i2.83

Abstract

Sebagai salah satu platform media sosial terbesar di dunia, Facebook menjadi sasaran utama untuk melakukan kejahatanya dengan mencuri data pribadi milik orang lain. Salah satu masalah yang ditemukan pada manajemen sekuriti pengguna media adalah ketika mereka tidak dapat menggunakan keamanan data dengan baik. Penelitian ini bertujuan untuk menemukan korelasi antara peranan manajemen sekuriti dengan pertahanan dan keamanan data pribadi Facebook. Metode penelitian yang digunakan adalah analisis kualitatif dan metode literature review dengan mengumpulkan data melalui artikel jurnal dan e-book, sebagai sumber dalam penyusunan karya ilmiah peneliti. Hasil penelitian menunjukkan bahwa manajemen sekuriti yang efektif dapat meningkatkan kemampuan operasional dan membangun kepercayaan terhadap kebijakan dan prosedur keamanan data pribadi pengguna Facebook.
How Microlearning Can Benefit Education: A Study of Factors and Trends in the Use of Microlearning Ranggana, Alfaza; Rasim, Rasim; Megasari, Rani
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 7, No 5 (2025): Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v7i5.8558

Abstract

Microlearning has become one of the approaches that has become increasingly in demand in the last two decades along with the increasing need for flexible and digital technology-based learning. This research aims to define the concept of microlearning and identify research trends and factors that drive its implementation. The method used is a bibliometric analysis of microlearning-themed publications obtained from the ScienceDirect database from the initial appearance of the term until 2024. The analysis was carried out based on three main aspects, namely the frequency of publications, the number of citations, and the network of co-emergence and co-authorship. The results of the study show a significant increase in the number of microlearning-related publications over the past two decades. The publications with the highest citations were mostly from the pre-COVID-19 pandemic period, while 99% of documents did not show a strong pattern of authorship collaboration. In addition, microlearning is defined through three main factors, namely mobile device use, social connectedness, and time constraints. These findings confirm that research on microlearning remains relevant and has the potential to be an important foundation for the development of digital learning strategies in the future
Sentiment Analysis of Indonesian Presidential Candidate Before and After the Election Sofyan, Muhammad Hilmy Rasyad; Zulkifli, Akmal; Rasim, Rasim
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3689

Abstract

As one of the world's democratic countries, Indonesia has just held a general election to choose its next president. The development of the times encourages presidential candidates to make a new breakthrough, such as the use of social media as campaign media. Currently, X is a popular social media used as a campaign medium. On X, users are given the freedom to share their opinions. Various opinions related to one of the presidential candidates were used by the researchers to collect data using the data crawling method. The results of the data crawling are first processed with different methods in the pre-process to make the data ready for use. Some of the steps that need to be taken in the pre-process are such as cleaning, normalisation, stopword, tokenisation, stemming and translation processes. All the processes carried out in the pre-process stage will produce mature or usable data. The mature data is then classified into positive, negative and neutral using the Naí¯ve Bayes classification method. Once the classification is complete, the results are evaluated in terms of sentiment towards one of the presidential candidates. The results of a total of 2117 data collected from 01 February 2024 to 20 May 2024, there are 390 data used for the pre-presidential election sentiment analysis and 1618 data used for the post-presidential election sentiment analysis. Both before and after the presidential election was held, this presidential candidate had more positive sentiments than the negative and neutral sentiments he received from the public.
Co-Authors ACHMAD FAUZI Agus Hidayat Al-Kadzim, Muhammad Ghiyats Anisyah, Ani Baszliah Nursabrina Bayu Wicaksono Dali, Daniel Dwinanto, Arif Dwipa Handayani Eka Fitrajaya Rahman Enjang Ali Nurdin Enjun Junaeti Erlangga Erlangga Fajar Ramadhan Fazira, Ira Fried Sinlae Ghaitsa Zahira Shaffa Hambali, Yudi Ahmad Herbert Siregar Herlawati Herlawati Joniwarta Judie, Rizky Rachman Juliano, Aryo Julianti, Sukma Khaairi, Mochamad Lanto Ningrayati Amali Lavianti, Desi Lubis, Hendarman Mahbub, Asep Ramdhani Mahphoth, Mohd Halim bin Mugiarso Mugiarso, Mugiarso Muhamad Firdaus Muhammad Khaerudin Muhammad Yasir Munir Munir, Munir Nailah Nurul Qalbina Natasya Regita Gandawidjaya Noema, Achmad Noeman, Achmad Nursalman, Muhammad Piantari, Erna Prima Dina Atika Pujiono, Krisna Dimas Puspo Dewi Dirgantari Putro, Budi Laksono Ranggana, Alfaza Rani Megasari Robertus Suraji Rosa, Elisa Rozi, Muhammad Fahru Sari, Fitra Bona Septem Riza, Lala Shafarin, Anti Nuraulia Silaen, Oriza Sativa Dinauni Siregar, Herbert SITI SETIAWATI Sofyan, Muhammad Hilmy Rasyad Sugiyatno Sugiyatno Sumitra, Desfasa Ilham Syafri Syamsudin, Muhammad Ully, Rona Wawan Setiawan Wihardi, Yaya Wijati, Damar Zulkifli, Akmal