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All Journal Bulletin of Electrical Engineering and Informatics Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan IJCIT (Indonesian Journal on Computer and Information Technology) Technomedia Journal Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Education Technology Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi SENSITEK ADI Journal on Recent Innovation (AJRI) ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Computer Science and Information Technologies International Journal of Marine Engineering Innovation and Research ADI Bisnis Digital Interdisiplin (ABDI Jurnal) JINAV: Journal of Information and Visualization Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Manajemen Retail Indonesia (JMARI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) MAVIB Journal : Jurnal Multimedia Audio Visual and Broadcasting Indonesian Journal Accounting (IJAcc) International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Universal Raharja Community (URNITY Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC)
Po Abas Sunarya
Universitas Raharja
Religion Aerospace Engineering Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Video Profile Sebagai Media Informasi Di Dinas Penanaman Modal Dan Pelayanan Terpadu Satu Pintu Kota Tangerang Selatan Po Abas Sunarya; Ratu Nanda Juwita; Muhammad Fadli Salim; Kaniya Agi Fatima
Jurnal MAVIB Vol 6 No 2 (2025): MAVIB Journal - Agustus 2025
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mavib.v6i2.3751

Abstract

Media informasi memberikan banyak manfaat bagi masyarakat modern dengan memungkinkan akses cepat dan luas melalui platform media sosial. Penggunaan video profil oleh instansi pemerintah, seperti DPMPTSP Kota Tangerang Selatan, bertujuan untuk meningkatkan pemahaman masyarakat mengenai layanan perizinan. Sebelumnya, informasi hanya tersedia melalui website dan Instagram dalam bentuk teks dan foto yang terbatas. Oleh karena itu, diperlukan video profil yang menyajikan informasi lengkap tentang tugas, program, prestasi, dan layanan DPMPTSP. Penelitian ini mencakup pengumpulan data, analisis PIECES, dan perancangan media dengan Adobe Premiere Pro, After Effects, dan Audition 2023. Video ini akan diunggah ke Instagram dan YouTube untuk memperluas jangkauan informasi dan membantu masyarakat dalam mengatasi permasalahan perizinan.
Improving Smear-Negative Tuberculosis Detection Using Data Augmentation and Faster R-CNN Nur Azizah; Po Abas Sunarya; Untung Rahardja; Achmad Benny Mutiara; Prihandoko Prihandoko; Charlotte Pasha
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 6 No. 1 (2026): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v6i1.233

Abstract

Smear-Negative Pulmonary Tuberculosis (SNPT) remains a major diagnostic challenge due to the low bacterial load that frequently causes false negative results in sputum microscopy. Chest X-ray imaging is commonly used as a complementary diagnostic tool however its interpretation relies heavily on expert radiologists and is prone to subjectivity. Recent developments in deep learning particularly object detection models provide promising opportunities to improve diagnostic accuracy. This study aims to develop and evaluate a deep learning based approach for SNPT detection in chest X-ray images using a Faster R-CNN model with a ResNet architecture. The proposed method applies data augmentation techniques including flipping rotation scaling and random brightness adjustment to enhance training data diversity and reduce overfitting. The model was implemented using PyTorch and evaluated using accuracy precision recall and F1 score. Experimental results indicate that data augmentation substantially improves performance achieving 76.60% accuracy and 68.57% F1 score compared to 53.06% accuracy and 51.06% F1 score without augmentation. Improved recall reflects higher sensitivity in detecting SNPT cases. These findings indicate that data augmentation enhances the robustness and generalization of Faster R-CNN models for SNPT detection and supports the potential of AI assisted diagnostic systems in tuberculosis screening programs.
Transformation of Green Economic Recovery Based on Photovoltaic Solar Canopy Untung Rahardja; Po Abas Sunarya; Ninda Lutfiani; Marviola Hardini; Siti Nurindah Sari
International Journal of Marine Engineering Innovation and Research Vol. 7 No. 2 (2022)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v7i2.5630

Abstract

Electrical energy has become a significant need to run the country's economy. Especially during the Covid-19 pandemic, teaching and learning activities were in the main realized at home. As a result, the national electricity demand has increased significantly. The solar power plant in the marine is also a good alternative in areas that are constrained by the lack of land as a Solar Power Plant development site. This research is motivated by the need for solar power plants using sustainable photovoltaic (PV) technology, aiming to accelerate the improvement of the quality and competence of lecturers and students in carrying out sustainable Renewable Energy (REY) research by applying the Merdeka Belajar-Kampus Merdeka (MBKM) model. The research method begins by conducting a Systematic Literature Review (SLR), which can support the relevance of sustainable REY research. The result of this research is a literature review of solar canopy PV, which is modified to be valuable in courses in the form of a sustainable REY Semester Learning Plan for one semester. From our current research, we hope that in future research, solar panel technology can not only be applied on land but also more broadly. For example, it can be applied in marine waters so that the use of solar panels can be used in many places.
Utilizing AI and Blockchain for Business Innovation in Digital Strategy Sunarya, Po Abas; Yusup, Muhamad; Fae, Nahlie
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kwck2v12

Abstract

In the rapidly evolving digital era, businesses are confronted with the challenge of adapting to fast paced technological changes. Innovative technologies such as Artificial Intelligence (AI) and Blockchain have emerged as solutions that can accelerate business transformation. AI offers data analytics and automation capabilities that enhance operational efficiency, while Blockchain provides the transparency and security required in digital business transactions. This study aims to explore how AI and Blockchain can be leveraged to drive innovation in business strategies and strengthen competitive advantage in an increasingly digital market. The research employs a literature review approach to examine the implementation of AI and Blockchain across various industrial sectors. For example, in the e-commerce sector, major companies such as Amazon and Alibaba have implemented AI to improve customer experience through more accurate product recommendations. Additionally, Blockchain has been utilized by Walmart to enhance supply chain transparency, enabling product traceability from suppliers to consumers. The collected data were analyzed to understand the impact of these technologies on business models and the innovations adopted by companies. The findings indicate that AI accelerates decision making processes and enables personalized customer services, while Blockchain helps establish a more transparent and efficient business ecosystem. Both technologies contribute to the development of stronger and more adaptive digital business models. The implementation of AI and Blockchain in business strategies has proven to enhance innovation, improve operational efficiency, and reinforce competitive advantage. Therefore, adopting these technologies becomes a key factor in achieving success in digitally driven businesses.
Governance Frameworks for Sustainable Artificial Intelligence in Digital Business Practices Sunarya, Po Abas; Handra, Tessa; Syahyono, Syahyono; Al-Farouqi, Kamal Arif; Sihotang, Sondang Visiana
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1443

Abstract

The rapid advancement of digital technologies has accelerated organizational transformation across industries, compelling firms to adopt emerging innovations such as Artificial Intelligence (AI) and cloud computing to enhance operational efficiency, scalability, and data-driven decision-making. Despite their growing adoption, challenges related to security, governance, and sustainability often constrain the realization of their full strategic value. This study aims to investigate the integrated role of AI and cloud computing in supporting secure and sustainable digital transformation, particularly in relation to efficiency, governance, and sustainability outcomes aligned with the Sustainable Development Goals (SDGs). A qualitative research design based on a systematic literature review was employed to synthesize insights from prior studies on AI, cloud computing, and digital transformation. The findings indicate that cloud computing provides scalable and secure infrastructure, while AI enhances intelligent automation, predictive analytics, and decision-making capabilities. Furthermore, their integration generates synergistic effects that improve operational efficiency, strengthen data governance, and support sustainability through optimized resource utilization. These results highlight the complementary relationship between cloud computing and AI in enabling secure, efficient, and sus- tainable digital ecosystems. This study contributes to the digital transformation and governance literature by offering an integrated conceptual perspective and provides practical insights for organizations in aligning technological adoption with sustainability and governance objectives.
AI-Driven Educational Data Analytics and Intelligent Tutoring in Learning Factory Environments Sunarya, Po Abas; Sunarjo, Richard Andre; Abbas, Maulana; Al-Kamari, Omar Arif; Maulana, Sabda
International Transactions on Education Technology (ITEE) Vol. 4 No. 1 (2025): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i1.950

Abstract

The rapid growth of artificial intelligence in higher education creates new op- portunities to make learning factory environments more adaptive, data-informed, and aligned with industrial practice. This study examines how the integration of educational data analytics and intelligent tutoring systems supports smarter learning factory models that connect theoretical instruction with hands-on indus- trial training. Using a quantitative research design, data were collected from 180 higher education students participating in AI-supported learning factory sessions. Log data on learning interactions, performance metrics, and system- generated feedback were analyzed using statistical modeling to test the effects of AI-driven interventions on learning outcomes. The results show that ed- ucational data analytics significantly increases the adaptability of instructional content, enabling the intelligent tutoring system to personalize learning paths in real time based on individual performance profiles. Students who engaged with AI-based tutoring reported higher learning engagement and achieved better problem-solving scores and stronger retention of practical concepts than those in conventional learning factory settings. These findings indicate that combining educational data analytics with intelligent tutoring systems improves both the efficiency and effectiveness of learning factory models by enabling continuous feedback loops, dynamic adjustment of learning tasks, and learner-centered in- struction. The study concludes that AI-driven, data-informed learning factories can play a strategic role in preparing students with industry-relevant compe- tences and offers practical implications for educational technologists and insti- tutions designing next-generation education technology solutions.
Optimizing Graduate Competitiveness through Service with Mathematical Economics and OBE: Optimalisasi Daya Saing Lulusan melalui Pengabdian dengan Matematika Ekonomi dan OBE Muhamad Yusup; Sondang Visiana Sihotang; Meriyana Sunengsih; Lakshmi Devi; Po Abas Sunarya
ADI Pengabdian Kepada Masyarakat Vol 5 No 2 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i2.1221

Abstract

Development of learning videos for natural science subjects in junior high schools Partono Siswosuharjo; Al-Bahra Al-Bahra; Po Abas Sunarya
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p160-167

Abstract

The purpose of this study was to determine the development procedure and the feasibility of learning media for whiteboard animation in natural sciences subjects at SMP Padindi, Tangerang Regency. This study uses a research and development (RD) approach. The development model in this study is the analysis design development implementation evaluation (ADDIE) model. The feasibility test is carried out by means of individual testing (one to one) on 3 experts, namely material experts, learning experts, and media experts, as well as 3 students. In addition, a small group test was also carried out on 9 students. The results showed that: i) the material expert test was 87.5%, the learning expert was 85%, the media expert was 84.44%, 3 students were 88.84%, and the small group was 90%; and ii) this whiteboard animation learning media is suitable for use based on the results of media trials by experts and students.
AI-Driven Inorganic Waste Sorting System for Sustainable Public Facilities Po Abas Sunarya; Rifqa Nabila Muti; Ruli Supriati; Ryo Satya Pradhana; Richard Evans
ADI Bisnis Digital Interdisiplin Jurnal Vol 7 No 1 (2026): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adna8m65

Abstract

The rapid accumulation of inorganic waste in urban environments requires an effective and sustainable technological approach. Conventional sorting methods that rely entirely on human awareness are often inefficient, labor-intensive, and prone to error, leading to minimal reduction in waste volume at the source. This study aims to design an automatic waste sorting system named ”Orange Box” utilizing Artificial Intelligence and Computer Vision methods implemented on a Raspberry Pi 5 to achieve high-speed and accurate waste classification. The system employs a V2 Camera Module for visual data acquisition and the BCM2712 processor to run a MobileNetV2 model trained on a custom dataset of 50 images. The waste is classified into plastic bottle and cup. Physical separation is executed by MG995R Servo Motors supported by a 20A Power Supply Unit.Performance testing demonstrates that the system achieves a classification accuracy of 92% with an average inference time of 45 Ms per image. Electrical analysis shows stable operation with an average power consumption of 10.50 – 11.10 Watt during processing and a peak load of 17.17 Watt during actuator movement. The integration of Raspberry Pi 5 successfully overcomes latency issues found in previous studies, providing a real-time, energy-efficient, and consistent sorting solution suitable for deployment in public facilities and smart city infrastructures.
Digital Transformation as a Strategy for Building Adaptive Pesantren Management Systems Fitra Putri Oganda; Po Abas Sunarya; Marviola Hardini; Sondang Visiana Sihotang; Ramiro Santiago Ikhsan; Maulana Abbas
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1195

Abstract

Digital transformation has become a central force in reshaping the educational ecosystem in the era of Industry 4.0. In Islamic education, particularly within pesantren, digitalization plays a strategic role in improving digital literacy, promoting social inclusion, and strengthening community engagement. This study aims to examine how digital transformation can be effectively implemented in pesantren management through adaptive strategies that integrate technology, learning innovation, and organizational governance. A qualitative approach was used, with data collected from 30 in-depth interviews involving educators, students, pesantren administrators, parents, and educational technology experts. Additional data were obtained through 3–5 observations of digital activities, internal documentation, and a review of 25–40 relevant academic sources. Data analysis was conducted through data reduction, thematic categorization, and triangulation across interviews, observations, and documentation. The findings show that digital transformation enables pesantren to enhance management adaptability, improve learning experiences, and strengthen collaboration with external stakeholders. The success of these digital initiatives is influenced by leadership commitment, human resource readiness, and community participa- tion. The study also highlights that digital literacy programs support students’ preparedness for an increasingly technology-driven global environment. This study contributes to the discourse on digital education in Islamic institutions by offering practical insights for policymakers and pesantren leaders in balancing tradition with innovation, emphasizing the need for strategic planning and capacity development to ensure sustainable and mission-aligned digital practices.
Co-Authors Abbas, Maulana Abdillah, Mohamad Faisal Abdul Mukarobi Qodratullah Achmad Benny Mutiara Achmad Rachmat S Adrian Sean Bein Ahmad Roihan Ajeng Toyibah, Restu Aji Kusuma Wardana Al Fakhriza, M Farhan Al- Bahra Al-Farouqi, Kamal Arif Al-Kamari, Omar Arif Alexander Williams Alfiah, Fifit Ali Djamhuri Alwiyah Alwiyah Aminuyati Andi Nugroho Andi Nugroho, Andi Andreansyah, Tedy Andri Cahyo Purnomo Angel, Mary Anita Restuintin Annisa, Shifa Dini Any, Berlin Apriliasari, Dwi Arief Saptono Arthur Freeman Asep Saifudin Asri, Moke Aulia Anjani, Sheila Bayu Porsea Yudha Bein, Adrian Sean Bennet, Daniel Benny Mutiara Bernard, Doucette David Bhupesh Rawat Canara, Clarosa Charlotte Pasha Chen, Shih Chih Choi, Lee Kyung Cholisoh, Novi Chua Toh Hua Cucut Susanto Damanik, Dian Maharani Danny Manongga Deddy Rusdiansyah Dedy Prasetya Kristiadi Delfi Martika Sari Delhi, Ariana Desy Apriani Devi Rositawati Diah Aryani, Diah Dina Satriani Djulian Daniel Dwi Julianingsih Dwi Oktavionita, Siti Dian Cahya Eduard Hotman Purba Ega Novita Andriani Eka Putra, Fajar Januar Ely Nuryani Erick Febriyanto Erick Fernando B311087192 Fachri Bayu Wardana Fae, Nahlie Fahmi Husaini Fajar, Alfie Aulia Fakhrezzy, Muhammad Faturahman, Adam Fauzan, Jimmy Filza Harry Prayogo Firda Nopia Andini Firiza, Muhammad Daffa Fitra Putri Oganda Fitri Ayu Febriani Fitriawati, Nora Friandi, Sendy Zul Fuji Yono Giandari Maulani, Giandari Godwin, Gelard Gulo, Nitema Handra, Tessa Harahap, Eka Purnama Hardjanto Nusantoro Henderi . Hermawan, Pandu Hikam, Ihsan Nuril Ifran Sanni Ignasius Raffael Santoso Ignatius Joko Dewanto Ignatius Joko Dewanto Ignatius Joko Dewanto Ihsan Nuril Hikam Ikraman, Ikraman Ilamsyah Ilamsyah Immaniar, Dewi Immaniar1, Dewi Indra Susilawati Insanahsan, Muhammad Irma Ayu Rodatin, Irma Ayu Isrial, Isrial Jasmine Dara Assyifa Jenny Januarini Joshua Dylan Julianingsih, Dwi Junaidi Junaidi Juniar, Hega Lutfilah Kamal, ⁠Abdullah Arif Kaniya Agi Fatima Khairul Khairul, Khairul Khairunisa, Alfiah Khoirunisa, Alfiah Krisandi Aprilyanto Lakshmi Devi Leli Lestari Santoso, Nuke Puji Lestari, Fauziyyah Husna Nurdiayanah Lic, Yung-Ming Lim, Clara Pasha Lisa Anisah Lola Sartika Lusyani Sunarya Lusyani Sunarya Madani, Muchlishina Maisuri Tri Dayanti Marantika, George Iwan Mardiana Mardiana Marviola Hardini Maulana Abbas Maulana, Sabda Mawar Indah Septiani Melvin Ismanto Meri Mayang Sari Meriyana Sunengsih Milani, Milani Millah, Shofiyul Mintauli Debataraja Mochamad Heru Riza Chakim Muhamad Ikhsan Mustopa Muhamad Iqbal Wahib Muhamad Yusup Muhammad Fadli Salim Muhtarom Mulyati Mulyati Mulyati Mustofa, Kenny Ilyas Natalie Bibils Nawi, Mohd Nasrun Mohd Neli Widi Astuti Nicola, Gabriela Nina Rahayu Ninda Lutfiani Novi Cholisoh Nuke Puji Lestari Santoso Nur Aini Nur Azizah Nurhaeni, Tuti nursaputri, Pipit Nusantoro, Hardjanto Nyree Ani Padeli Padeli Pangestu, Prisilia Santoro Partono Siswosuharjo Pasaribu, Johni S Peh, Zucheng Permono, Tinton Yuan Prabowo, Dimas Aditya pratiwi, Dinda suci Prihandoko . Prihandoko Prihandoko Qurotul Aini Rafika, Ageng Setiani Rahayu, Nina Rakhmansyah, Mohamad Ramiro Santiago Ikhsan Ratu Nanda Juwita Reynoldus Andrias Sahulata Ria Dwi Anjani Richard Evans Ricka Anggie Fadyla Rifqa Nabila Muti Rise Wijoyo Jati Romdoni, Mochamad Yusuf Ruhiawati, Irma Yunita Ruli Supriati, Ruli Ryo Satya Pradhana Sabda Maulana Salman, Nur Salsabillah Devia Khansa Samuel David Tiwa Sandro Alfeno, Sandro Santoso, Nuke Puji Lestari Sany, Mutiara Triana Saptoro, Arief Saputra, Subhan Ahmad Sayyida Sayyida Shofiyul Millah Sholeh, Oleh Shylvia Ratna Dewi Sihotang, Sondang Visiana Silawati, Nur Siti Dian Cahya Dwi Oktavionita Siti Nurindah Sari siti Nurindah Sari Sondang Visiana Sihotang SRI RAHAYU Sri Rahayu Suci Fitriyani Drajat Sudaryono Sudaryono Sugeng Santoso Sugeng Widada Sugina, Sugina Sunandar, Endang Sunarjo, Richard Andre Sunarti Sunarya Sunarya Sunarya, Lusyani Suryaman, Fitria Marwati Susanto, Sugeng Susetyono, Eko Syahyono, Syahyono Tarmizi, Rasyid Tinton Yuan Permono Tri Cahyo Nugroho Triyono . Untung Rahardja Vertika Agarwal Viola Tashya Devana Warnars, Harco Leslie Hendric Spits Warseno Xolani, Zanele Yono, Fuji Yudha Abimanyu Yudha, Bayu Porsea Zaenudin, Muhammad Zebua, Selamat