Evaluation of Geogebra Implementation in Schools: A Combined Tam and is Success Model Approach Muhammad Agreindra Helmiawan, Ucu Koswara, Yanyan Sofiyan, Yusfita Yusuf, Yopi Hidayatul Akbar, A'ang Subiyakto 2025 13th International Conference on Cyber and IT Service Management Citsm 2025, 2025 This study evaluates the implementation of GeoGebra in mathematics education by integrating the Technology Acceptance Model and the Information Systems Success Model. The hybrid model enables a multifaceted assessment, capturing both user acceptance and the broader organisational impacts of the technology. Quantitative data, gathered through surveys and statistical analysis, measures GeoGebra adoption, perceived usefulness, and ease of use among teachers and students. Qualitative data, collected through interviews, focus groups, and classroom observations, provides insights into the experiences of teachers and students using GeoGebra. Data analysis involves descriptive and inferential statistics to compare user perceptions and examine the relationships between variables, such as the impact of perceived usefulness and system quality on user satisfaction and behavioural intention. The findings offer practical consequences for educational institutions and mathematics teachers wishing to successfully incorporate GeoGebra into their mathematics curriculum by addressing technical complexity and providing sufficient assistance.
Cybersecurity Awareness and its Impact on the Association Between Technology Use and Adolescent Mental Health Muhammad Agreindra Helmiawan, Dody Herdiana, Esa Firmansyah, Agreiva Intan Nur Sholihah, Shelly Widya Putri, Shiddiq Septiana 2025 13th International Conference on Cyber and IT Service Management Citsm 2025, 2025 This research examines the relationship between adolescents’ technology use, cybersecurity awareness, and its impact on mental well-being, highlighting the role of digital literacy and responsible online behaviour in achieving positive outcomes. The study examines both negative and positive effects of digital media, advocating for methodological precision to capture associations with mental health. With the evolution of the internet, extensive research has emerged on the impact of digital technology on health, education, and human development. Digital platforms are integral to adolescents’ social lives, education, and entertainment, raising concerns about risks like cyberbullying, privacy violations, and exposure to inappropriate content. Findings indicate significant interplay between technology use, cybersecurity awareness, and mental health, with higher awareness and proactive security behaviours linked to better outcomes. Adolescents spend more time online than any other age group, and the increase in use raises concerns about potential negative effects. Notably, existing research emphasises the risks of digital technology, lacking evidence of its benefits. Results highlight cybersecurity awareness's critical role in mediating technology use's effects on mental health and the importance of behavioural intention in shaping cybersecurity practices.
Evaluation of Healthcare Professionals' Satisfaction with the Use of AI in Supporting Clinical Diagnosis Muhammad Agreindra Helmiawan, Sri Bekti Handayani Ningsih, Iyat Ratna Komala, Mona Yulianti, Uu Sunarya, Balkis Fitriani Faozi 2025 13th International Conference on Cyber and IT Service Management Citsm 2025, 2025 The integration of artificial intelligence in clinical diagnosis promises improved efficiency and accuracy, but healthcare professionals' acceptance and satisfaction with this technology remain concerns. This study assessed the satisfaction levels of healthcare professionals utilising AI in clinical diagnosis, with a focus on the factors that influence their attitudes toward AI tools. A mixed-methods approach was employed, combining quantitative and qualitative methods. Quantitative data were collected through surveys that measured satisfaction and explored perceptions, experiences, and concerns regarding the use of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$A I$</tex> in clinical diagnosis. Quantitative analysis used descriptive and inferential statistics, and qualitative data were analysed through thematic analysis. Results indicated that satisfaction levels with AI varied based on factors such as transparency, reliability, and ethical considerations. Main concerns included a lack of understanding of AI algorithms, potential bias in decision-making, and legal liability implications. Conversely, professionals with positive AI experiences viewed it as a tool to reduce workload and enhance efficiency. This discussion highlights the importance of developing a comprehensive strategy to improve awareness, offer targeted training, establish clear ethical guidelines, and promote collaboration between AI developers and healthcare professionals. The study concludes that successful AI integration in clinical diagnosis requires attention to psychological, social, and ethical factors. By addressing barriers and maximising the potential of AI, the healthcare community can create a more efficient, empathetic, and equitable system.
Webqual Method on Online Course in Suburban Area: Post-Pandemic Study A'ang Subiyakto, Dwi Yuniarto, Aedah Binti Abd. Rahman, Muhammad Agreindra Helmiawan, Mulya Suryadi, Dani Indra Junaedi 2022 10th International Conference on Cyber and IT Service Management Citsm 2022, 2022 Suburban areas become an object of research that attracts researchers in terms of assessing the quality of the Online Course Website. The findings at the beginning of the research regarding the poor quality of information on the Online Course make users feel confused. The purpose of this study is to establish the quality of the Online Course Website using the Webqual Method and to determine what factors affect the quality of the Online Course Website in the Suburban Area during the Post-Pandemic. The researcher reports on the results of the research, that the quality of the Online Course website in the Suburban Area using the Webqual Method is categorized as good, as shown from the results of the analysis on the Usability Quality and Service Interaction Quality variables. While the factors that affect the Quality of the Online Course Website are obtained from proving 3 hypotheses which state that everything is acceptable. The contribution of this research is that it can be used as a reference by further researchers regarding alternative problem solving in making an Online Course website with the Webqual Method. Some of the things that the researcher reports can also be used as material for the Online Course Website Developer. Of course with a different object of research will be very interesting to do.
Waste Classifier using Naive Bayes Algorithm Irfan Fadil, Muhammad Agreindra Helmiawan, Fidi Supriadi, Asep Saeppani, Yanyan Sofiyan, Agun Guntara 2022 10th International Conference on Cyber and IT Service Management Citsm 2022, 2022 In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these community activities will produce waste. This waste should be processed according to the type of waste, but people often equate or collect the waste into a container before it goes into the trash or even throws the garbage into a ditch or river, causing garbage to accumulate in one place because it makes it difficult to sort waste or even waste it to cause flooding because it clogs the drainage channel leading to the river. The aim of the research is to calculate the accuracy of the Naïve Bayes algorithm in classifying waste classifiers. The design of this waste classifier using arduino aims to apply the naive Bayes algorithm in classifying organic, inorganic, and hazardous waste, the naive Bayes algorithm is an algorithm for classification with quite a bit of data training. This tool is designed using Arduino uno r3 with capacitive proximity sensor, $16\\mathrm{x}2$ lcd, and data table to look for opportunities or data training. From the results of the waste classification test carried out using this waste classifier, the application of the naive Bayes algorithm in the waste classification tool using Arduino got 28% accuracy in the first test, 57% in the second test, and 71% in the third test. With these results, the naive Bayes algorithm can function or work well for classifying waste in the design of a waste classifier using Arduino.
Integrated Academic Information System Based on The Perception of Ease And Benefits Esa Firmansyah, Muhammad Agreindra Helmiawan, Irfan Fadil, Fathoni Mahardika, Dian Budiana, Reny Rian Marliana 2022 10th International Conference on Cyber and IT Service Management Citsm 2022, 2022 The current management of higher education cannot be separated from an information system, one of which is an academic information system. Along with the many accesses from various devices, there are obstacles in the form of an unresponsive interface when accessed on a mobile display. The purpose of this study is to assess the user interface of an integrated academic information system in increasing the comfort of the system from the user's point of view. Technology Acceptance Model is a method that can be used to measure user perceptions of the ease and usability of the system. In other words, this research is to assess users' willingness to accept useful facilities and make it easier for users, both in terms of function and appearance. Overall, the academic information system assessment variable is considered good by users, namely, the ease of use factor is worth 1900 smaller than the usefulness factor which is worth 2033, but some indicators have a small total score below 300. Therefore, it is necessary to measure the other criteria in identifying user wants and needs as a whole.
Examining readiness of e-learning implementation using Aydin and Tasci model: A rural university case study in Indonesia Esa Firmansyah, Muhammad Agreindra Helmiawan, Ali Rahman, Pepen Supendi, Sri Bekti Handayani Ningsih, Maya Suhayati, Aedah Abd Rahman Aip Conference Proceedings, 2021 Humankind throughout the world are currently in a state of collapse due to the outbreak of Corona Virus Disease (COVID-19) which began in Wuhan, China. Later on, it was announced as the pandemic situation according to WHO. Overall countries have implemented social distancing, while Indonesia has implemented a policy of learning from home, working from home, and worship at home or better known as work from home (WFH). This study aimed to determine the level of readiness to implement e-learning during WFH due to the pandemic COVID-19 spreads along with the challenges in the 4.0 revolution in millennials. The model that used was the Aydin & Tasci model which measures four main factors namely technology, innovation, people, and self-development. Data collection was conducted online using Google Form, while data processing uses a descriptive statistical method mapped based on the Aydin & Tasci version of the e-learning readiness index. The results showed that the overall e-learning readiness index might indicate that the system was ready to be implemented, but required a slight increase in several factors, namely innovation increase, human, and self-development factors. The results and discussion of the study showed the readiness of e-learning to follow the demands of Revolution 4.0, even though it was done during WFH because of the COVID-19 pandemic outbreak.
Optimization Parameters Support Vector Regression using Grid Search Method Irfan Fadil, Muhammad Agreindra Helmiawan, Yanyan Sofiyan 2021 9th International Conference on Cyber and IT Service Management Citsm 2021, 2021 Bitcoin is a cryptocurrency known to have high price fluctuation. Investment depends on price fluctuations which have a high level of risk. Bitcoin investment has these principles. To avoid losses and gain profits, there needs a method that may be used to make forecasts of the price of bitcoin accurately. In this research, Bitcoin price predictions were deployed based on bitcoin price data obtained in the past (Time Series Forecasting) using the method Support Vector Regression. The data retrieved is weekly Bitcoin price data from January 2018 to March 2020. Bitcoin price data is nonlinear, so a kernel is used Radial Basis Function. Meanwhile, the variables of the Support Vector Regression method are optimized using Grid Search Method. The purpose of the research is to determine the accuracy of the Support Vector Regression method by looking at the result of the Mean Absolute Percentage Error value. The research showed that the Mean Absolute Percentage Error value obtained was equal to 10,74 % with parameter value $\\mathbf{C=5,} \\boldsymbol{\\varepsilon=0.004}$, and $\\boldsymbol{\\gamma=0.07}$. The Mean Absolute Percentage Error value indicates that the prediction results are categorized as a good prediction.
Experimental Evaluation of Security Monitoring and Notification on Network Intrusion Detection System for Server Security Muhammad Agreindra Helmiawan, Eggi Julian, Yavan Cahyan, Asep Saeppani 2021 9th International Conference on Cyber and IT Service Management Citsm 2021, 2021 Security of data and information in servers connected to networks that provide services to user computers, is the most important thing to maintain data privacy and security in network security management mechanisms. Weaknesses in the server security system can be exploited by intruders to disrupt the security of the server. One way to maintain server security is to implement an intrusion detection system using the Intrusion Detection System. This research is experimenting to create a security system prototype, monitoring, and evaluating server security systems using Snort and alert notifications that can improve security monitoring for server security. The system can detect intrusion attacks and provide warning messages and attack information through the Intrusion Detection System monitoring system. The results show that snort and alert notifications on the security server can work well, efficiently, and can be handled quickly. Testing attacks with Secure Shell Protocol and File Transfer Protocol Brute Force, Ping of Death and scanning port attacks requires a detection time of no more than one second, and all detection test results are detected and send real-time notification alerts to the Administrator.
Security Model using Intrusion Detection System on Cloud Computing Security Management Muhammad Agreindra Helmiawan, Irfan Fadil, Yanyan Sofiyan, Esa Firmansyah 2021 9th International Conference on Cyber and IT Service Management Citsm 2021, 2021 The use of Cloud Computing has advantages that have the potential to be an extraordinary service in supporting work procedures that can be carried out anywhere via the internet. Through the internet, we can carry out activities anywhere, but it will also cause other problems that will arise because of access via the internet, one of which is from the security side, system and security management on a computer is very crucial for securing a lot of data on it. The purpose of this research is to provide suggestions related to security management in Cloud Computing, especially in the sectors of Integrity, Authority, Privacy, and Confidentiality, also propose the proposed Concepts and Recommendations which are expected to improving security for Cloud Computing security and detection intruders who break into cloud computing systems using Intrusion Detection System and networks using Intrusion Detection System methods. Further research can be implemented and performed for improving security on cloud computing.
Evaluation of Machine Learning Algorithms for Predicting Phishing Attacks in Higher Education Environments: An Experimental Framework for Enhancing Cybersecurity in Academic … AM Poetra, D Herdiana, MA Helmiawan JASMINE: Journal of Intelligent Systems and Machine Learning , 2026 2026
Public Sentiment Toward Rupiah Redenomination on Social Media X A Febrian, D Herdiana, MA Helmiawan JASMINE: Journal of Intelligent Systems and Machine Learning 1 (1), 22-29 , 2026 2026
Pengembangan Kampung Wisata Sentra Madu Berbasis Konservasi Lingkungan untuk Pemberdayaan KTH Benteng Muda Mandiri Sumedang RH Sutisna, DB Hermawan, MA Helmiawan, ML Al Ghaazi, ... Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat 6 (1), 332-345 , 2026 2026
Analisi Perbandingan Kinerja Algoritma AES-128 GCM dan AES-256 GCM Pada Protokol TLS 1.2 Di Server Ngnix MA Ilham, D Herdiana, MA Helmiawan, A Saeppani Router: Jurnal Teknik Informatika dan Terapan 3 (4), 87-95 , 2025 2025
Cybersecurity Awareness and its Impact on the Association Between Technology Use and Adolescent Mental Health MA Helmiawan, D Herdiana, E Firmansyah, AIN Sholihah, SW Putri, ... 2025 13th CITSM 13 (2025 13th CITSM) , 2025 2025
Analisis Sentimen Ulasan Google Play pada Aplikasi Tahu Sumedang Menggunakan Lexicon-Based K Sidik, D Herdiana, MA Helmiawan, A Saeppani TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi 5 … , 2025 2025
Implementasi Algoritma Random Forest dalam Pengukuran Kesiapan Transformasi Digital Desa Kaduwulung Menuju Desa Cerdas Berbasis SNI ISO 37122: 2019 E Firmansyah, MA Helmiawan, D Herdiana, D Yuniarto Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 19 (2) , 2025 2025
Performance Optimization of Support Vector Machine with SMOTE for Multiclass Stunting Prediction in Sumedang District, Indonesia I Fadil, RS Manggala, E Firmansyah, MA Helmiawan Jurnal Teknik Informatika (Jutif) 6 (4), 2917-2928 , 2025 2025 Citations: 1
Evaluation of Geogebra Implementation in Schools: A Combined Tam and is Success Model Approach MA Helmiawan, U Koswara, Y Sofiyan, Y Yusuf, YH Akbar, A Subiyakto 2025 13th International Conference on Cyber and IT Service Management (CITSM … , 2025 2025
Evaluation of Healthcare Professionals' Satisfaction with the Use of AI in Supporting Clinical Diagnosis MA Helmiawan, SBH Ningsih, IR Komala, M Yulianti, U Sunarya, BF Faozi 2025 13th International Conference on Cyber and IT Service Management (CITSM … , 2025 2025
Quantitative Analysis of the Key Factors Driving Cybersecurity Awareness Among Information Systems Users MA Helmiawan, E Firmansyah, D Herdiana, YH Akbar, A Subiyakto, ... Repository FTI UNSAP 25 (1), 1897-1910 , 2025 2025 Citations: 1
Pengantar Sistem Digital MA Helmiawan, D Herdiana, A Guntara Repository FTI UNSAP 25 (1), 123-123 , 2025 2025
Pengukuran Kesiapan Transformasi Digital Desa Kaduwulung Menuju Desa Cerdas Berbasis SNI ISO 37122: 2019 Melalui Pemetaan Data Desa E Firmansyah, MA Helmiawan Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 19 (1) , 2025 2025 Citations: 10
Jaringan Komputer: Teori, Konsep, dan Implementasi MA Helmiawan, D Yuniarto, YH Akbar Repository FTI UNSAP 25 (1), 204-204 , 2025 2025
SISTEM OPERASI TEORI DAN KONSEP DASAR D Herdiana, E Firmansyah, MA Helmiawan, YH Akbar PT Nafal Global Nusantara , 2025 2025
Pengaruh digital marketing melalui TikTok terhadap pemasaran produk UMKM di Cicarimanah G Husnulmar’ati, E Firmansyah, MA Helmiawan Jurnal Teknologi Riset Terapan 3 (1), 21-32 , 2025 2025 Citations: 3
Implementasi Google Family Link sebagai solusi pengawasan penggunaan gadget anak di Desa Sundamekar S Rospita, E Firmansyah, MA Helmiawan JIMT: Jurnal Informatika, Multimedia dan Teknik 1 (1), 83-88 , 2024 2024 Citations: 6
Keamanan Teknologi Informasi: Teori, Risiko, dan Strategi Pertahanan di Era Digital MA Helmiawan, YH Akbar, F Mahardika eBook UNSAP, 213-213 , 2024 2024 Citations: 4
Pengukuran Pengukuran Tingkat Kesuksesan Penerapan E-Office Dengan Model Kesuksesan Sistem Informasi Delone dan Mclean di Dinas Perumahan Kawasan Permukiman dan Pertanahan Sumedang F Mahardika, YH Akbar, MAH Agreindra Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 17 (2) , 2023 2023
Penerapan Augmented Reality Pengenalan Monumen sebagai Upaya Pariwisata Berkelanjutan D Yuniarto, MA Helmiawan Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 17 (2) , 2023 2023 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Analysis of web security using open web application security project 10 MA Helmiawan, E Firmansyah, I Fadil, Y Sofivan, F Mahardika, A Guntara 2020 8th International Conference on Cyber and IT Service Management (CITSM … , 2020 2020 Citations: 105
Experimental evaluation of security monitoring and notification on network intrusion detection system for server security MA Helmiawan, E Julian, Y Cahyan, A Saeppani 2021 9th International Conference on Cyber and IT Service Management (CITSM … , 2021 2021 Citations: 64
Security model using intrusion detection system on cloud computing security management MA Helmiawan, I Fadil, Y Sofiyan, E Firmansyah 2021 9th International Conference on Cyber and IT Service Management (CITSM … , 2021 2021 Citations: 62
The Effect of Internet Banking Use and Customer Protection Against Cyber Crime at Bank Rakyat Indonesia H Muhammad Agreindra, N Ade Iskandar Journal of Islamic Economics and Business 2 (2), 170-183 , 2022 2022 Citations: 49
Technology acceptance in augmented reality D Yuniarto, MA Helmiawan, E Firmansyah Jurnal Online Informatika 3 (1), 10-13 , 2018 2018 Citations: 31
Penerapan Strategi Social Media Marketing Untuk Meningkatkan Penjualan Pada Dealer Mobil Toyota, Daihatsu dan Honda Bandung YH Akbar, MA Helmiawan Infoman's 12 (2), 115-124 , 2018 2018 Citations: 23
Evaluasi dan Uji Kualitas Website dengan Metode Webqual (Studi Kasus: STMIK Sumedang) MA Helmiawan, YH Akbar, YY Sofian Journal of Information Technology 1 (1), 1-4 , 2019 2019 Citations: 22
Examining readiness of e-learning implementation using Aydin and Tasci model: A rural university case study in Indonesia E Firmansyah, MA Helmiawan, A Rahman, P Supendi, SBH Ningsih, ... AIP Conference Proceedings 2331 (1), 060020 , 2021 2021 Citations: 21
Pengamanan Sistem Dan Data E-Voting Berbasis Network MA Helmiawan, DI Juna, B Ramdhani INTERNAL (Information System Journal) 1 (1), 1-10 , 2018 2018 Citations: 19
Application of Fingerprint Security System on Motorcycles using Arduino Microcontroller MA Helmiawan, T Wiharko J-Tin's-Jurnal Teknik Informatika 2 (1) , 2018 2018 Citations: 19
COBIT 5 untuk manajemen teknologi informasi & proses bisnis perusahaan MA Helmiawan, D Sumedang no. June 2018 , 2017 2017 Citations: 19
Optimization parameters support vector regression using grid search method I Fadil, MA Helmiawan, Y Sofiyan 2021 9th International Conference on Cyber and IT Service Management (CITSM … , 2021 2021 Citations: 18
Integrated academic information system based on the perception of ease and benefits E Firmansyah, MA Helmiawan, I Fadil, F Mahardika, D Budiana, ... 2022 10th International Conference on Cyber and IT Service Management (CITSM … , 2022 2022 Citations: 13
A model of virtual learning environments using micro-lecture, moodle, and sloodle F Supriadi, MA Helmiawan, YY Sofiyan, A Guntara 2020 8th International Conference on Cyber and IT Service Management (CITSM … , 2020 2020 Citations: 12
PRIVATE CLOUD STORAGE IN RURAL'S MANAGEMENT AND INFORMATION SYSTEM USING ROADMAP FOR CLOUD COMPUTING ADOPTION (ROCCA) MA Helmiawan, I Fadil INTERNAL (Information System Journal) 2 (2), 172-183 , 2019 2019 Citations: 11
Pengembangan Model Perencanaan Sistem Informasi Kampus Dengan TOGAF Architecture Development Method MA Helmiawan, YY Sofiyan Infoman's 12 (1), 47-59 , 2018 2018 Citations: 11
Pengukuran Kesiapan Transformasi Digital Desa Kaduwulung Menuju Desa Cerdas Berbasis SNI ISO 37122: 2019 Melalui Pemetaan Data Desa E Firmansyah, MA Helmiawan Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 19 (1) , 2025 2025 Citations: 10
Waste Classifier using Naive Bayes Algorithm I Fadil, MA Helmiawan, F Supriadi, A Saeppani, Y Sofiyan, A Guntara 2022 10th International Conference on Cyber and IT Service Management (CITSM … , 2022 2022 Citations: 9
Implementasi Kansei Engineering dalam Desain Website Profile Perguruan Tinggi (Studi Kasus: STMIK Sumedang) MNA Muhaemin Infoman's: Jurnal Ilmu-ilmu Informatika dan Manajemen 10 (2), 39-48 , 2016 2016 Citations: 9
Analysis of data prediction generate by admission student application using least square method I Fadil, MA Helmiawan, DI Junaedi 2020 8th International Conference on Cyber and IT Service Management (CITSM … , 2020 2020 Citations: 7
