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All Journal JDM (Jurnal Dinamika Manajemen) Aptisi Transactions on Technopreneurship (ATT) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics RJOCS (Riau Journal of Computer Science) International Transactions on Education Technology (ITEE) Journal of Computer Science and Technology Application
Maulana, Sabda
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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IDENTIFICATION AND DIAGNOSIS EXPERT SYSTEM DESIGN FOR OIL PLANT DISEASE USING FORWARD CHAINING Iskandar; Lubis, Adyanata; Prasiwinigrum, Elyandri; Maulana, Sabda
RJOCS (Riau Journal of Computer Science) Vol. 7 No. 2 (2021): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v7i2.1835

Abstract

This research was conducted to create an expert system expert system that can identify and diagnose major diseases of oil palm trees with chaining forward method. The system is designed to analyze a disease that can strike at the nursery stage, the plants in the field, both at thestage of immature plantations (TBM) and crop yield (TM). The result of this research is a learning system to provide knowledge regarding the disease of oil crops by utilizing a computer.
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.
Examining The Interplay of Technology Readiness and Behavioural Intentions in Health Detection Safe Entry Station Rahardja, Untung; Aini, Qurotul; Bist, Ankur Singh; Maulana, Sabda; Millah, Shofiyul
JDM (Jurnal Dinamika Manajemen) Vol 15, No 1 (2024): March 2024
Publisher : Department of Management, Faculty of Economics and Business, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jdm.v15i1.48914

Abstract

This research aims to determine the factors that influence the adoption of safe entry station (SES) as a health detection technology. There are six main constructs that will be studied, namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and Technology Readiness, towards Behavioural Intention. Data collection was carried out using a survey distributed to 824 participants by analysis was carried out using the Structural Equation Model. The research findings show a significant relationship between technology readiness and behavioral intention regarding the use of safe entry station. The results of this research specifically show that the application of artificial intelligence in safe entry station health detection technology has a significant positive impact on increasing accuracy in the health examination process. Furthermore, this research provides insight into substantial practical implications in various business sectors, highlighting the importance of integrating safe entry station with organizational systems. The academic implications contained in this research will make a positive contribution to the development of knowledge and theory in the field of safe entry station technology adoption and can provide a strong basis for further research, while the managerial implications of this research lie in the ability to further design effective implementation strategies in various sectors.
Management of Educational Institutions through Information Systems for Enhanced Efficiency and Decision-Making Sunarjo, Richard Andre; Chakim, Mochamad Heru Riza; Maulana, Sabda; Fitriani, Gaby
International Transactions on Education Technology (ITEE) Vol. 3 No. 1 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i1.670

Abstract

This paper explores the application of information systems in the management of educational institutions, aiming to enhance operational efficiency and support informed decision-making processes. Educational institutions face growing demands for streamlined administration and resource optimization, which form the background of this study. The objective is to assess the effectiveness of implementing information systems tailored to manage complex educational processes and institutional needs. A mixed-method approach was employed, combining quantitative analysis of system usage data and qualitative feedback from administrators and educators within various institutions. This method allowed for a comprehensive understanding of the impacts and challenges associated with integrating these technologies. Results reveal that institutions using information systems report significant improvements in administrative efficiency, resource management, and data-driven decision-making capabilities, as well as enhanced stakeholder satisfaction. Furthermore, the findings suggest that well-designed information systems reduce redundant administrative tasks, enabling staff to allocate more time toward core educational activities. In conclusion, the adoption of tailored information systems for educational institutions not only enhances management efficiency but also supports a culture of informed decision-making, paving the way for more responsive and adaptive educational environments. These insights underscore the value of integrating technology into educational administration, offering a strategic path toward more effective institutional management.
The Challenge of Cryptocurrency in the Era of the Digital Revolution: A Review of Systematic Literature Amsyar, Izwan; Christopher, Ethan; Dithi, Arusyi; Khan, Amar Najiv; Maulana, Sabda
Aptisi Transactions On Technopreneurship (ATT) Vol 2 No 2 (2020): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v2i2.96

Abstract

Money is clearly a primary need of every human being that cannot be avoided, human needs can be realized by using money. Seeing from the lack of systematic literature review papers discussing cryptocurrency, this is a challenge as well as the main purpose of this paper. Along with the development of modernization and globalization which has now entered the industrial era 4.0 revolution there is a blockchain based technology, Cryptocurrency. Cryptocurrency is one of the developments of the blockchain that is often used as a decentralized digital currency. The word Cryptocurrency means a virtual currency that has no physical form, and Cryptocurrency also means that the transaction currency cannot be seen and is safe. This digital currency has many types such as Bitcoin, Ethereum, Litecoin, Monero, and many other types. Although it has no physical form, this currency functions the same as conventional currencies in general and has an exchange rate. Exchange rates on Cryptocurrency fluctuate which means unexpected, this is often exploited by traders. Cryptocurrency transactions in the form of forwarding from one individual to another individual online, therefore they deal directly without a third party. Every technology has advantages and disadvantages aside from efficiency and convenience, Cryptocurrency has the disadvantage of not having the authority responsible for dealing with all problems that occur in all transactions, and money laundering crimes also often occur, this is a challenge for how to utilize Cryptocurrency and blockchain technology in the current era of globalization.
Pemanfaatan AI untuk Kesehatan Publik: Pengalaman dan Harapan Pengguna Sistem Kualitas Udara dengan UTAUT2 Aini, Qurotul; Santoso, Nuke Puji Lestari; Hardini, Marviola; Faturahman, Adam; Maulana, Sabda; Apriliasari, Dwi
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 11 No 1 (2025): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i1.3233

Abstract

Pencemaran udara telah terbukti ada di seluruh dunia. Ini menunjukkan banyak bukti yang mempengaruhi efek buruk terkait kesehatan yang menyebabkan penyakit dan bahkan kematian, dan perkembangan teknologi telah membantu memantau paparan orang terhadap pencemaran udara. Penelitian ini menganalisis faktor-faktor yang mempengaruhi kegunaan yang dirasakan dari deteksi pencemaran udara pada aplikasi AIKU berdasarkan model Teori Penerimaan dan Penggunaan Teknologi yang Terpadu (UTAUT2) dan juga Teori Motivasi Perlindungan Diri (TMPD). Sebanyak 371 peserta dengan sukarela menjawab survei mandiri yang terdiri dari konstruk yang diadaptasi yang mencakup faktor-faktor seperti, Harapan Kinerja (PE), Harapan Upaya (EE), Pengaruh Sosial (SI), Kondisi yang Memfasilitasi (FC), Motivasi Hedonis (HM), Nilai Harga (PV), Niat menggunakan (IU), Meningkatkan Kesehatan Masyarakat (EPH). Metode Persamaan Struktural (SEM) digunakan untuk menentukan faktor-faktor yang mempengaruhi kegunaan yang dirasakan dari aplikasi AIKU. Hasil penelitian menunjukkan bahwa PE adalah faktor utama yang menyebabkan IU yang sangat tinggi di kalangan pengguna sehingga dapat meningkatkan EPH, selain itu FC terbukti menjadi faktor paling signifikan kedua yang mempengaruhi IU, diikuti oleh HM, PV, SI, EE. Studi ini mempertimbangkan evaluasi kegunaan di antara aplikasi seluler terkait kesehatan yang mencakup pencemaran udara. Hasil kerangka kerja dalam model ini diterapkan untuk mengevaluasi faktor dan aplikasi lain yang terkait dengan kesehatan masyarakat
Software-Defined Networking: Revolutionizing Network Management and Optimization Maulana, Sabda; Anjani, Sheila Aulia; Sanjaya, Yulia Putri Ayu; S, Sondang Visiana; Sithole, Precious
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/g1as4162

Abstract

This study investigates the impact of Software-Defined Networking (SDN) on network management and optimization, comparing its performance to traditional networking approaches. Through a mixed-methods approach, including empirical experiments and expert interviews, the research demonstrates that SDN significantly enhances network performance by reducing latency, increasing throughput, and providing superior security management. The scalability of SDN was also confirmed, with the network efficiently handling an increasing number of devices without performance degradation. However, the study identified challenges in integrating SDN into existing infrastructures and the need for specialized skills to manage SDN environments effectively. These findings underscore the potential of SDN as a transformative technology in modern network management, while also highlighting areas where further research is needed to address integration and skill-related challenges.
Co-Authors Adyanata Lubis, Adyanata Amsyar, Izwan Anjani, Sheila Aulia Apriliasari, Dwi Bist, Ankur Singh Christopher, Ethan Dithi, Arusyi Elyandri Prasiwinigrum, Elyandri Faturahman, Adam Fitriani, Gaby ISKANDAR Khan, Amar Najiv Marviola Hardini Millah, Shofiyul Mochamad Heru Riza Chakim Po Abas Sunarya Qurotul Aini S, Sondang Visiana Sanjaya, Yulia Putri Ayu Santoso, Nuke Puji Lestari Sithole, Precious Sunarjo, Richard Andre Untung Rahardja