Article Per Year (5 Year)
p-Index From 2021 - 2026
10.886
P-Index
This Author published in this journals
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

Published : 114 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 114 Documents
Search

 4   5   6   7   8 
A Blockchain Based Online Business Intelligence Learning System Po Abas Sunarya; Alexander Williams; Alfiah Khoirunisa; Adrian Sean Bein; Delfi Martika Sari
Blockchain Frontier Technology Vol. 1 No. 01 (2021): B-Front(Blockchain Frontier Technology)
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v1i01.17

Abstract

It isn't an smooth challenge for instructors to test day by day scholar mastering assignments and deliver appropriate grades, attitudes each day. Online mastering structures are nevertheless prone and effortlessly added with the aid of using instructors and gadget managers. Blockchain offers everlasting and dependable garage offerings in addition to computerized calculation offerings. Therefore, the blockchain-primarily based totally on-line mastering gadget proposed on this paper, serves to examine the day by day lives of college students and mechanically their attitudes if you want to relieve instructors from tedious and complicated workloads and may offer sincere and accurate opinions of scholar attitudes. This article uses a qualitative method. Therefore, this text introduces the state of affairs of mastering commercial enterprise intelligence in universities and jobs associated with blockchain-primarily based totally commercial enterprise intelligence mastering structures. Then the gadget is exact withinside the shape and clever contracts.
Diagnosis Model in Smear-Negative Pulmonary Tuberculosis Using Faster R-CNN Nur Azizah; Benny Mutiara; Prihandoko Prihandoko; Po Abas Sunarya
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 1 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i1.3061

Abstract

Background: One of the most important human organs in the respiratory system is the lung. The main function of the lung is the respiration process, which is responsible for pumping air into the body. The health of the lung organs is very important, because if this organ is disturbed it will affect the health of the rest of the body. One of the diseases that attacks the lungs is Tuberculosis (TB). TB disease can be cured, but if it is delayed in getting treatment it can increase the risk of death. Method: This research developed a Smear Negative Pulmonary Tuberculosis diagnosis model using the Deep Learning method using the Faster R-CNN algorithm. The data used in this research are x-ray images of the lungs at the Jakarta Repository Center - Indonesian Tuberculosis Eradication Center (JRC-PPTI) clinic, totaling 220 datasets. At the preprocessing stage, the images used for training and testing were used with a size of 1280 x 1280 to see the effect on the accuracy of the prediction results of the Faster RCNN model. The test results are in the form of accuracy values that reflect the performance of the Faster RCNN model in classifying normal (without TB) and abnormal (with TB) test data. Results: The research implementation carried out the training process and testing process for 75% of training images, and 25% for testing images. Training images are labeled using the Img label. In the testing stage of the faster RCNN model, the accuracy value was 62.04%, precision was 40.00%, recall was 64.52% and F1-score was 49.38%. Conclusion: From the results of this research it is concluded that the Faster RCNN model test results using the ResNet 50 model have an accuracy value of 62.04%, Precision of 40.00%, Recall of 64.52% and F1-score of 49.38%.
Faktor yang Mempengaruhi Masyarakat Berpindah Provider Brand Kartu Seluler Warseno Warseno; Po Abas Sunarya; Ageng Setiani Rafika
IJAcc Vol 5 No 2 (2024): Indonesian Journal Accounting (IJAcc)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ijacc.v5i2.3259

Abstract

This research aims to analyze the influence of Product Attributes, Variety Seeking Behavior and Promotion simultaneously (together) on Brand Switching Behavior. This study also aims to analyze the influence of Product Attributes, Variety Seeking Behavior and Promotion partially (individually) on Brand Switching Behavior. The object of this research is IM3 Ooredoo Cellular Card and the subject of this research is Yogyakarta’s people who have used another brand of cellular card and switched brands to IM3 Ooredoo Cellular Card. The number of samples in this study were 140 respondents who had been determined by purposive sampling. The tool used is Multiple Linear Regression Analysis (SPSS). Based on multiple linear regression analysis, the results obtained that Product Attributes, Variety Seeking Behavior and Promotion together (simultaneously) have a positive and significant influence on brand switching behavior. Product Attributes, Variety Seeking Behavior and Promotions also have a positive and significant influence on Brand Switching Behavior.
Machine Learning and Artificial Intelligence as Educational Games Po Abas Sunarya
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.206

Abstract

Digital games are establishing themselves as a new paradigm in teaching. Everyone can play digital games, they're economical, and they're a terrific way to learn. Digital games that encourage computational thinking and programming have recently attracted more attention in pre-college (K–12) educational institutions. A growing number of students have been drawn to the subjects of In recent years, there has been an increase in artificial intelligence (AI) and machine learning (ML). Researchers in teaching and learning are interested in the integration of AI/ML with digital gaming, however there hasn't been a literature review in this field. This paper aims to summarize the most recent findings on instructional video games for AI and ML. A qualitative content analysis was conducted using the relevant essays and games that were selected following a comprehensive search. Using this summary as a base, we present a list of research publications and games that are relevant. illustrating the unique opportunities that diverse games offer to teach various AI and ML techniques and topics.
The Impact of Gamification on IDU (ILearning Instruction) in Expanding Understudy Learning Inspiration Po Abas Sunarya
International Transactions on Education Technology (ITEE) Vol. 1 No. 1 (2022): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v1i1.190

Abstract

All fields have been upheld by innovation, particularly in the realm of training in the instructing and learning cycle to decide the nature of college graduates. In the realm of instruction, Raharja School has carried out iLearning learning techniques to accomplish learning objectives. Understudies are given growth opportunities utilizing the iLearning strategy which is a learning interaction utilizing the Ten iLearning IT Support points (TPI) media. Be that as it may, iLearning learning is viewed as ineffectual where numerous understudies don't speak with teachers as well as absence of data regarding addresses. Consequently, another learning strategy is made for the educating and learning interaction to be more powerful and can be created, the presence of gamification in internet learning is to urge understudies to be more energetic as well as an option in getting sorted out and molding learning circumstances to be seriously interesting and not dreary, with the goal that it tends to be tomfoolery and assemble character for understudies in taking part in web-based addresses, the presence of a leaderboard as a degree of understudy movement is likewise valuable to figure out how dynamic understudies are in chipping away at tasks and understanding the talk material given by the speaker.
Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior Sunarya, Po Abas; Rahardja, Untung; Chen, Shih Chih; Lic, Yung-Ming; Hardini, Marviola
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.155

Abstract

This study compares Logistic Regression and Random Forest in predicting e-commerce customer churn. Utilizing the E-commerce Customer dataset, it navigates the complexities of customer interactions and behaviors, offering a rich context for analysis. The methodology focuses on meticulous data preprocessing to ensure data integrity, setting the stage for applying and evaluating Logistic Regression and Random Forest. Both models were assessed using accuracy, precision, recall, F1-Score, and AUC-ROC. Logistic Regression showed an accuracy of 90%, precision of 91% for class 0 and 82% for class 1, recall of 98% for class 0 and 50% for class 1, F1-Score of 94% for class 0 and 62% for class 1, and AUC-ROC of 0.88. Random Forest, with its ability to handle complex patterns, demonstrated higher overall performance with an accuracy of 95%, precision of 95% for class 0 and 93% for class 1, recall of 99% for class 0 and 74% for class 1, F1-Score of 97% for class 0 and 82% for class 1, and an AUC-ROC of 0.97. This comparative analysis offers insights into each model's strengths and suitability for predicting customer churn. The findings contribute to a deeper understanding of machine learning applications in e-commerce, guiding stakeholders in enhancing customer retention strategies. This research provides a foundation for further exploration into the digital social dynamics that shape customer behavior in the evolving digital marketplace.
Penerapan Sertifikat pada Sistem Keamanan menggunakan Teknologi Blockchain Sunarya, Po Abas
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 1 No 1 (2022): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.099 KB) | DOI: 10.33050/mentari.v1i1.139

Abstract

Popularitas teknologi Blockchain telah banyak digunakan dalam aspek kehidupan di berbagai bidang dan industri. Karena sebelumnya teknologi blockchain digunakan sebagai crypto atau dikenal dengan mata uang digital yang telah berkembang ke arah teknologi dan digital berkembang pesat. Dimana penggunaan teknologi blockchain merupakan sebuah inovasi baru yang semakin berkembang dalam sistem keamanan data yang sesuai dengan perkembangan zaman dan menjadi salah satu teknologi modern dalam dunia pendidikan. Dalam hal ini penelitian akan memiliki menyajikan keterbaruan berupa implementasi teknologi Blockchain pada objek penelitian yaitu penyimpanan sertifikat tanpa keterlibatan pihak ketiga (Desentralisasi). sehingga sebagai solusi, pada penelitian ini akan menghadirkan aplikasi teknologi Blockchain dengan keunggulan yang diberikan adanya transparansi dan sifat yang desentralisasi untuk tujuan agar peneliti selanjutnya dapat menghasilkan inovasi baru dalam peningkatan keamanan data dan peningkatan kualitas teknologi yang dapat menghasilkan temuan baru pada sistem keamanan data yang lebih modern. Dalam menuju keberhasilan penelitian, metode yang digunakan adalah sampling yang akan memecahkan permasalahan dan solusi yang dihadirkan. Hasil dari penelitian yang didapatkan, penerapan teknologi blockchain dapat meningkatkan keamanan sertifikat yang telah diterapkan pada publikasi jurnal dengan nama abc. untuk meningkatkan keketatan perlindungan data sistem.
The Dynamics of Engagement in E-Learning Environments: Insights and Strategies for Improvement Sunarya, Po Abas; Alfiah, Fifit; Sholeh, Oleh; Millah, Shofiyul; Hikam, Ihsan Nuril
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 5 No. 1 (2024): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/jmari.v5i1.3123

Abstract

In the rapidly evolving landscape of education, e-learning has emerged as a pivotal mode of instruction. However, fostering engagement in these digital environments presents unique challenges. This study delves into the dynamics of engagement in e-learning, aiming to unravel the multifaceted factors that influence student participation and to propose effective strategies for improvement from a broad sample of learners with qualitative insights from educators and students. The quantitative aspect utilizes a structured survey to gauge the impact of technological, pedagogical, and personal factors on engagement levels. Concurrently, qualitative data, gathered through interviews and focus groups, offers a nuanced understanding of the experiences and perceptions shaping engagement. The study’s findings reveal a complex interplay of factors, including the quality of digital content, interaction opportunities, feedback mechanisms, and individual learner characteristics. Notably, the research highlights the critical role of personalized learning experiences and the need for robust support systems. The discussion synthesizes these insights, outlining practical strategies for educators and institutions to enhance engagement in e-learning. These strategies encompass the adoption of adaptive learning technologies, fostering collaborative learning communities, and providing targeted support for diverse learner needs. The study contributes to the growing body of knowledge on e-learning, offering valuable guidance for optimizing engagement in these digital learning spaces.
Blockchain Based Certificate Verification System Management Aini, Qurotul; Harahap, Eka Purnama; Santoso, Nuke Puji Lestari; Sunarya, Po Abas; Sari, Siti Nurindah
APTISI Transactions on Management (ATM) Vol 7 No 3 (2023): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i3.1922

Abstract

One of the key responsibilities of the Public Key Infrastructure is revocation management. Additionally, the security of any Public Key Infrastructure (PKI) depends on it. Today's revocation methods are susceptible to a single point of failure when network traffic rises due to the growth in the quantity and size of networks as well as the adoption of new paradigms like the Internet of Things and the use of the web. The author uses the strength and resiliency of blockchain to overcome these issues and present a productive decentralized certificate revocation management and status verification system. The author adds a field that specifies which distribution point the certificate will belong to in the event that it is revoked using the certificate structure extension field. Then, the author carries out a thorough assessment of our plan using performance indicators like execution time and data consumption to show that it can fulfill the demands with high effectiveness and little expense. Additionally, the author contrasts the effectiveness of our strategy with two of the most widely-used revocation approaches, namely the Certificate Revocation List and the Online Certificate Status Protocol. The data collected demonstrate that our suggested strategy works better than the existing scheme.
Technopreneurship in Healthcare: Evaluating User Satisfaction and Trust in AI-Driven Safe Entry Stations Rahardja, Untung; Sunarya, Po Abas; Aini, Qurotul; Millah, Shofiyul; Maulana, Sabda
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 3 (2024): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i3.489

Abstract

The development of technology in the health sector has encouraged the adoption of technopreneurship, especially in the application of artificial intelligence (AI) to support the safety and efficiency of health services. One of the innovations that has emerged is the AI-driven Safe Entry Station, which is designed to improve the safety and comfort of patients and medical personnel. However, the success of implementing this technology is highly dependent on the level of user satisfaction and trust. This study aims to evaluate the level of user satisfaction and trust in Safe Entry Stations in the health care environment and also explore the variables that influence the acceptance of this technology among users. This research method uses a quantitative approach with a survey involving 673 respondents from various health institutions that have used Safe Entry Stations. Data were analyzed using Structural Equation Modeling (SEM) with SmartPLS 4.0 software to identify the relationship between User Satisfaction (US), trust (TR), behaviour intention (BI), usage behaviour (SB) and technopreneurial impac (TI). The results showed that US and TR significantly influences BI and UB. Additionally, BI strongly impacts TI, suggesting that stronger intentions lead to a greater perceived impact on technopreneurship. This study found that AI-driven Safe Entry Stations has great potential for widespread adoption in the healthcare sector. These findings provide important insights for further development of this technology as well as technopreneurship strategies in the healthcare sector.
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