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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 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

Author-ID : 543689

Aerospace Engineering Arts Humanities Automotive Engineering 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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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

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

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

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

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

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.

Digital Marketing as a Strategy to Improve Higher Education Promotion During the COVID-19 Pandemic Rawat, Bhupesh; Sunarya, Po Abas; Devana, Viola Tashya
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 2 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

In the realm of business, one of the most crucial components in establishing a company's success is promotion. As a result, producers will engage in various sorts of promotions, which will be costly. It's not only promotion from one individual to the next. Social media is now frequently employed as a digital marketing approach. Universities recruit students in the same way that businesses do. Promotions are run to boost the number of prospective students who apply to the college. The education sector in Indonesia will be virtually completely crippled by the year 2020. The government is urging the entire community to exercise physical distance in the middle of the COVID-19 outbreak, which is causing great concern among Indonesia's entire population. Universities all around Indonesia are having difficulty operating as a result of this. Almost all colleges have implemented work-from-home policies, which impede academic and non-academic activities and prevent new students from enrolling. The COVID-19 pandemic has resulted in a significant reduction in the number of potential students enrolling at universities. Universities have a hard time promoting and introducing themselves to the general population. Universities can use digital marketing media to promote higher education as one solution. The purpose of this study is to conceptually examine digital marketing strategies to Improve Higher Education Promotion. The research method used is descriptive research. The findings of this study indicate that social media materials play a major role.

Optimizing Online Business Security with Blockchain Technology Ani, Nyree; Millah, Shofiyul; Sunarya, Po Abas
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 1 (2024): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i1.488

This research discusses the implementation of blockchain technology to improve online business security. The main problem facing online businesses today is their vulnerability to security attacks such as data theft and information leaks. The aim of this research is to optimize online business security by utilizing the advantages of blockchain technology in providing data security, integrity, and transparency. This research method includes a literature review to understand existing online business security frameworks and analysis of possible weaknesses. Next, we designed and implemented a blockchain-based solution to mitigate the identified security risks. Data collection is carried out through security attack simulations and reliability testing of the proposed system. The research results show that the application of blockchain technology significantly increases the security of online businesses, reduces the risk of data theft, and provides a high level of transparency. The conclusions of this research support the view that blockchain can be an effective solution to overcome security problems in the context of online business. This research makes a significant contribution to understanding and applying blockchain technology as an innovative security solution in the context of online business.

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

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

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

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.

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-Bahra, Al-Bahra Alexander Williams Alfiah Khoirunisa Alfiah, Fifit Ali Djamhuri Alwiyah Alwiyah Aminuyati Andi Nugroho Andi Nugroho, Andi Andreansyah, Tedy Andri Cahyo Purnomo Angel, Mary Ani, Nyree Anita Restuintin Annisa, Shifa Dini Any, Berlin Apriliasari, Dwi Arief Saptono Asep Saifudin Asri, Moke Aulia Anjani, Sheila Bayu Porsea Yudha Bein, Adrian Sean Bennet, Daniel Benny Mutiara Bernard, Doucette David Bibils, Natalie Canara, Clarosa Charlotte Pasha Chen, Shih Chih Choi, Lee Kyung Cholisoh, Novi Cucut Susanto Damanik, Dian Maharani Danny Manongga Deddy Rusdiansyah Dedy Prasetya Kristiadi Delfi Martika Sari Delhi, Ariana Desy Apriani Devana, Viola Tashya Devi Rositawati Devi, Lakshmi Diah Aryani, Diah Dina Satriani Djulian Daniel Dwi Oktavionita, Siti Dian Cahya Eduard Hotman Purba Ega Novita Andriani Eka Budiarto, Eka 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 Harahap, Eka Purnama Hardjanto Nusantoro Haris Haris, Haris Henderi . Hermawan, Pandu Hikam, Ihsan Nuril Hua, Chua Toh Ifran Sanni Ignasius Raffael Santoso Ignatius Joko Dewanto Ignatius Joko Dewanto Ignatius Joko Dewanto Ihsan Nuril Hikam Ikhsan, Ramiro Santiago 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 Krisandi Aprilyanto 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, Sabda Mawar Indah Septiani Melvin Ismanto Meri Mayang Sari Milani, Milani Millah, Shofiyul Mintauli Debataraja Mochamad Heru Riza Chakim Muhamad Iqbal Wahib Muhamad Yusup Muhammad Fadli Salim Mulyati Mulyati Mulyati Mustofa, Kenny Ilyas Mustopa, Muhamad Ikhsan Nawi, Mohd Nasrun Mohd Neli Widi Astuti Nicola, Gabriela Nina Rahayu Ninda Lutfiani Novi Cholisoh Nuke Puji Lestari Santoso Nur Aini Nur Azizah Nur Azizah Nurhaeni, Tuti nursaputri, Pipit Nusantoro, Hardjanto Padeli Padeli Pangestu, Prisilia Santoro 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 Ratu Nanda Juwita Rawat, Bhupesh Reynoldus Andrias Sahulata Ria Dwi Anjani Ricka Anggie Fadyla Rise Wijoyo Jati Romdoni, Mochamad Yusuf Ruhiawati, Irma Yunita Ruli Supriati, Ruli Sabda Maulana Salman, Nur Salsabillah Devia Khansa Samuel David Tiwa Sandro Alfeno Santoso, Nuke Puji Lestari Sany, Mutiara Triana Saptoro, Arief Saputra, Subhan Ahmad Sayyida Sayyida Sholeh, Oleh Shylvia Ratna Dewi Sihotang, Sondang Visiana Silawati, Nur siswosuharjo, partono Siti Dian Cahya Dwi Oktavionita Siti Nurindah Sari siti Nurindah Sari SRI RAHAYU Sri Rahayu Suci Fitriyani Drajat Sudaryono Sudaryono Sugeng Santoso Sugeng Widada Sugina, Sugina Sunandar, Endang Sunarti Sunarya Sunarya Sunarya, Lusyani Sunengsih, Meriyana Suryaman, Fitria Marwati Susanto, Sugeng Susetyono, Eko Tarmizi, Rasyid Tinton Yuan Permono Tri Cahyo Nugroho Triyono . Untung Rahardja Vertika Agarwal Warnars, Harco Leslie Hendric Spits Warseno Xolani, Zanele Yono, Fuji Yudha Abimanyu Yudha, Bayu Porsea Zaenudin, Muhammad Zebua, Selamat

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