Article Per Year (5 Year)
p-Index From 2021 - 2026
2.488
P-Index
This Author published in this journals
All Journal Jurnal Teknologi INTEK: Informatika dan Teknologi Informasi JIEMS (Journal of Industrial Engineering and Management Systems) G-Tech : Jurnal Teknologi Terapan Indonesian Journal of Computing, Engineering, and Design Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal of Community Services: Sustainability and Empowerment Jurnal Teknologi
Rafie Djajasoepena
Sampoerna University
Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Portable Library Automation Systems Implementation and Training in an Elementary School Gunawan, Daisy Christina; Gunawan, Samuel Theodore; Agustin, Charles; Putra, Jeremy Triutomo; Darmawanto, Gabrielle Orla; Kinantya, Valereyna Jingga; Bhakti, Muhammad Agni Catur; Djajasoepena, Rafie; Wandy, Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 3 No. 02 (2023): September 2023
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v3i2.415

Abstract

School libraries play a crucial role in literacy development by providing reading materials to students. Implementing library automation systems is an effective solution, enabling simplified cataloging, circulation control, and reporting. Automated systems streamline resource management and expand user access. The Senayan Library Management System (SLiMS), a freely available program developed to streamline library processes, is recognized as a potential option for enhancing a school's library feature and developing educational institution assets. The objectives of this community service were to implement a library automation system to enhance the school library features and services. Also, this activity was for system implementation experiences for the higher students. The community service initiatives were carried out in the SDN Gadog 2, Indonesia, between September and October of 2023. This concludes that SLiMS was successfully implemented, trained, and helpful as it enhances the flexibility of borrowing and accessing books.
Utilization of Artificial Intelligence to Support the Development of Teaching and Project Modules Djajasoepena, Rafie; Setiawan, Iwan; Bhakti, Muhammad Agni Catur; Purnomo, Ariana Tulus; Ayu, Media Anugerah; Alibasa, Muhammad Johan; Wandy, Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 4 No. 01 (2024): March 2024
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v4i1.440

Abstract

Artificial Intelligence (AI) is now commonly used in many sectors, including education. Utilizing AI technology to support learning does not mean replacing the role of educators. The critical role of educators is to teach, educate, and train students to build their skills, knowledge, and morals, which are irreplaceable by AI. SMP Negeri 174 Jakarta is a public junior high school in East Jakarta and would like to receive guidance to upgrade teachers’ competencies in AI. The event lasted half a day and about 39 teachers participated in this agenda. The overall community service activities began in early April 2024 and ended on May 15, 2024, and all main activities were completed 100%. The session was successfully delivered in around two hours with days of preparations. Future recommendation is to include similar topics related to academic activities and technology.
Academic Motivations in Junior High School Refreshing Day Djajasoepena, Rafie; Setiawan, Iwan; Triawan, Farid; Redi, Anak Agung Ngurah Perwira; Fernandez, Nikolas Krisma Hadi; Prasetyo, Ilham; Alibasa, Muhammad Johan; Wandy, Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 4 No. 01 (2024): March 2024
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v4i1.448

Abstract

Motivation is a crucial factor in education as it stimulates, guides, and channels purposeful behavior driven by biological, emotional, social, and cognitive factors. Motivation can be a key element of a student’s achievement. This study explores the role of motivation in academic achievement and describes a community service program undertaken at SMP Negeri 174 Jakarta.. This initiative aims to motivate students before their final exams by sharing success stories of effective study habits and providing tips for exam preparation. The community service activities commenced in late March 2024 and concluded in May 2024. Over 200 participants, consisting of year-9 students, took part in the event, which began in the morning and lasted for two hours, ending before noon. The majority of the resource persons and the organizers were actively involved in the event preparations. The success of this initiative suggests the potential of similar programs to motivate students in the future.
Battle Royale Console Game Performance Analysis (Case Study: East Jakarta, Indonesia) Azizah Rahim, Noorfi; Totong, Allister; Ikhsan Effendy, Muhammad; Djajasoepena, Rafie; Maindratama, Abdullah; Eryanto, Ery; Wandy, Wandy
Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v17i1.4695

Abstract

Battle Royale (BR) genre games are still played and have massive players around the globe. They are characterized by survival and exploration elements, featuring last-man-standing gameplay that motivates players to be the final contestant in the game. This BR can now be played on single platforms and cross-platform. Apex Legends is a free-to-play hero shooter where competitors from across the frontier join forces to battle for glory, fame, and fortune. Apex Legends can be played on PlayStation, Xbox, Steam, and Switch. This research aims to understand the data captured by the game Apex Legends, played on the PlayStation 5 console and displayed on a 4K television. This data was then analyzed to measure the correlation with game performance during gameplay. This research used a quantitative method, primary data, and descriptive measurements. From the findings, it can be concluded that the FPS for this game performed well since it was still near 60 FPS (59.81) with a standard deviation of 1.07. IO could not be analyzed for network performance since no official parameters for this IO were found on the official web during the research. However, Packet Loss and Choke performed well, with an average of 0 and a standard deviation of around 0. The ping value is enormous, with a significant standard deviation gap; this can happen because the server distance is longer to Tokyo from Jakarta than Singapore. Even though the latency was high, gamers still found the matches enjoyable.   
Introducing Artificial Intelligence Utilization in Learning to High School Teachers Djajasoepena, Rafie; Syamsuri, Ady; Nurfais, Ahmad; Bahagia, Katherine Luckman; Kusuma, Felicia; Dewa, Gilang Raka Rayuda; Purnomo, Ariana Tulus; Bhakti, Muhammad Agni Catur; Wandy, Wandy; Triawan, Farid; Githa, Arum; Lestari, Tika Endah; Setiawan, Iwan
Journal of Community Services: Sustainability and Empowerment Vol. 5 No. 01 (2025): March 2025
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v5i1.515

Abstract

The development of artificial intelligence (AI) has significantly impacted various sectors, including education. However, based on observation, no AI tool-integrated course has been utilized by teachers at SMA 6 Cirebon. Moreover, based on the pretest assignment, the average understanding of teachers in SMAN 6 Cirebon regarding AI technology was only 55.48%, indicating challenges in implementing AI tools due to a lack of knowledge and practical guidance. To address this issue, a community service activity was held to empower teachers with applicable AI knowledge and skills through a seminar titled "How AI Learns Like a Brain: Implementasi AI dalam Pembelajaran". A qualitative approach was employed, beginning with seminar preparation, AI literature review, and interactive team discussions. Pre- and post-tests showed an increase in understanding of AI technology, with the mean score rising from 55.48% to 67.22% and the median score increasing from 60% to 80%. Finally, this community service recommends ongoing training, the development of AI-integrated lesson plans, hands-on workshops, and collaboration with educational authorities to support the further implementation of AI in teaching.
An FMCW Radar-Based Intelligent System for Non-Contact Detection and Monitoring of Pneumonia Symptoms Purnomo, Ariana Tulus; Frandito, Raffy; Limantoro, Edrick Hensel; Djajasoepena, Rafie; Bhakti, Muhammad Agni Catur; Lin, Ding Bing
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.395

Abstract

Pneumonia is one of the most common contagious respiratory diseases, and one of its symptoms is shortness of breath. This symptom underscores the need for non-contact monitoring methods, which our paper addresses by proposing a strategy that uses Frequency-Modulated Continuous Wave (FMCW) radar to extract breathing waveforms and then classifies them with an eXtreme Gradient Boosting (XGBoost) model. The model performs well on our dataset, using stratified k-fold cross-validation and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction. This intelligent system can correctly identify deep and deep-quick breathing patterns with 98% and 87.5% recall scores, respectively. Integrating FMCW and XGBoost offers a promising solution for early detection and real-time monitoring of pneumonia
Co-Authors AA Sudharmawan, AA Aditiya Harjon Agustin, Charles Ali Vaezi Anak Agung Ngurah Perwira Redi Ariana Tulus Purnomo Bahagia, Katherine Luckman Belfaqih, Idrus Husin Darmawanto, Gabrielle Orla Dewa, Gilang Raka Rayuda Ding-Bing Lin Edrick Hansel Limantoro Effendy, Muhammad Ikhsan Eko Sulistyo Eko Sulistyo Eko Sulistyo Ery Eryanto Eryanto, Ery Fernandez, Nikolas Krisma Hadi Frandito, Raffy Githa, Arum Glisina Dwinoor Rembulan Gunawan, Daisy Christina Gunawan, Samuel Theodore Ikhsan Effendy, Muhammad Ilham Prasetyo Ilham, Oryzea Sativa islam, sri susilawati Iwan Setiawan Kinantya, Valereyna Jingga Kusuma, Felicia Lestari, Putri Yuni Lestari, Tika Endah Liman, Surya Danusaputro Limantoro, Edrick Hensel Lin, Ding Bing Maindratama, Abdullah Media Anugerah Ayu, Media Anugerah Mileniawati, Indah Riantantri Moacyr Machado Cardoso Junior Muhammad Agni Catur Bhakti Muhammad Johan Alibasa Noorfi Azizah Rahim Nurfais, Ahmad Nurprihatin, Filscha Putra, Jeremy Triutomo Putri Yuni Lestari Putri Yuni Lestari Raffy Frandito Ramadhan, Ammar Riki Antonius Syamsuri, Ady Totong, Allister Triawan, Farid Unang Solihin Vanessa Bertholdo Vargas Wandy Wandy