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All Journal IJIE (Indonesian Journal of Informatics Education) Journal of Mathematics and Mathematics Education (JMME) Jurnal Ilmiah Sinus DEDIKASI: Community Service Reports YASIN: Jurnal Pendidikan dan Sosial Budaya MASALIQ: Jurnal Pendidikan dan Sains Journal of Multidisciplinary Science: MIKAILALSYS JGHTT DEDIKASI: Community Service Reports
Slamet Kurniawan Fahrurozi
Universitas Sebelas Maret
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Other

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Dampak Teknologi Informasi Berbasis Artificial Intelligence terhadap Kepuasan dan Loyalitas Wisatawan: Tinjauan Systematic Literature Review Fahrurozi, Slamet Kurniawan; Epin Andrian, Dimas Pamilih
MASALIQ Vol 5 No 2 (2025): MARET
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i2.5040

Abstract

This study aims to analyze the impact of Artificial Intelligence (AI)-based information technology on tourist satisfaction and loyalty through a systematic literature review method. Following the PRISMA guidelines, researchers conducted a literature search in the ScienceDirect and SpringerLink databases using keywords such as "artificial intelligence," "tourist satisfaction," and "tourist loyalty." Of the 40 articles identified, 12 articles met the inclusion criteria and were analyzed thematically. The results showed that AI significantly improves tourist satisfaction through service personalization, operational efficiency, and better interactions. Applications such as recommendation systems, chatbots, and predictive analytics have proven effective in improving the tourist experience. However, the implementation of AI also faces challenges such as data privacy, algorithmic bias, and low technology adoption. The implications of this study are the importance of optimizing the use of AI by ensuring data security, reducing bias, and improving education for service providers and tourists. This study provides recommendations for further research, including exploring the impact of AI on specific tourist segments and investigating the long-term impact on loyalty.
Pengalaman Pengguna Pada Platform Magang : Pengembangan Dan Evaluasi Melalui Pengujian Berbasis UEQ Massaty, Muhammad Hassan; Andrian, Dimas Pamilih Epin; Fahrurozi, Slamet Kurniawan
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.928

Abstract

This study investigates the development and evaluation of the User Experience (UX) of a web-based internship platform aimed at enhancing communication and collaboration between students and campus staff. The platform was developed using a User-Centered Design (UCD) approach, incorporating user feedback at each stage of the design process. Prior to system development, interviews were conducted with both students and campus staff to identify existing challenges. The findings revealed that 80% of students encountered difficulties in accessing up-to-date internship information, 70% struggled to track the progress of their applications, and 60% reported insufficient feedback from industry partners or campus coordinators. Additionally, 60% of campus staff faced challenges in managing communication and providing timely updates on internship applications. Based on these insights, the platform was designed to address these issues. UX evaluation was performed using the User Experience Questionnaire (UEQ), assessing dimensions of attractiveness, usability, efficiency, and emotional satisfaction. The results demonstrated that the platform successfully met user expectations in terms of accuracy and novelty; however, the stimulation dimension requires further refinement. This study underscores the significance of adopting a UCD approach in the development of educational platforms and offers valuable insights for future research on web-based platforms in educational contexts.
The Future of Learning: Integrating Robotic Efficiency for Enhanced Educational Efficacy Massaty, Muhammad Hassan; Budiyanto, Cucuk Wawan; Tamrin, A.G.; Fahrurozi, Slamet Kurniawan
Journal of Global Hospitality and Tourism Technology Vol. 1 No. 1 (2024): Journal of Global Hospitality and Tourism Technology - June
Publisher : Politeknik NEST

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11294759

Abstract

The Covid-19 pandemic has posed learning barriers for communities in Indonesia and around the world. It has disrupted normal teaching and learning activities, necessitating the adoption of distance learning. Students face challenges during distance learning, including low motivation to succeed and complete online classes, as well as difficulty in handling encountered problems or difficulties. Robotics was chosen as a learning medium because it has been proven to stimulate self-efficacy. The development of self-efficacy among students is crucial in distance learning implementation as it can help overcome barriers that arise during the learning process. This research aims to implement robotics media in distance learning while considering media accessibility and self-efficacy. The research methodology employed is a field case study with qualitative descriptive data analysis techniques. The results of the study indicate that with the use of robotics media, student enthusiasm level reached 92%, and 92% of students fully comprehended the presented learning materials. The implementation of distance learning using robotics media was highly successful, with 92% of students expressing increased diligence in their studies, and 96% of students striving to improve their grades. Student self-efficacy was also relatively high, with 88% of students showing confidence in their ability to engage in learning. The use of robotics media aided students in distance learning, with a 100% completion rate and satisfactory achievement results. Additionally, it was found that the inclusion of illustrations had an impact on students' confidence in completing tasks correctly and accurately. more tangible and accessible.
Evaluation of Learning Modules Based on the TPACK Framework to Increase Student Understanding in Learning Fahrurozi, Slamet Kurniawan; Budiyanto, Cucuk Wawan; Massaty, Muhammad Hassan
Journal of Global Hospitality and Tourism Technology Vol. 1 No. 2 (2024): Journal of Global Hospitality and Tourism Technology - December 2024
Publisher : Politeknik NEST

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14286365

Abstract

The objective of this research is to examine three aspects: (1) the implementation of learning modules that utilize the TPACK (Technological Pedagogical and Content Knowledge) framework, (2) the impact of using TPACK-based learning modules on students' understanding, and (3) students' reactions to learning modules based on the TPACK framework. This research method employs a descriptive-evaluative approach that is qualitative in nature. Qualitative research utilizes data that is expressed through words, narratives, and information provided by informants. The feasibility of implementation was measured using Likert scale instruments, understanding was measured by pre-test and post-test questions, and student responses were analyzed through interviews. The participants in this study consisted of 33 students enrolled in the Informatics and Computer Engineering Education program at Sebelas Maret University, Surakarta. According to the research findings, it can be inferred that the implementation of the learning module falls under the "excellent" category. Therefore, it may be considered as a viable choice for teaching materials in the E-Business Technology course. (2) Student comprehension has significantly improved, with the average score rising from 71.9 to 87.87. (3) Feedback from interviews indicated that students found the module to be helpful and easily comprehensible as a teaching resource. However, there were still certain aspects that required adjustment in order to optimize the TPACK-based module. The TPACK framework enhances the dissemination of content that is characterized by a systematic, comprehensive, and conceptual approach. This study has presented a novel perspective that suggests the TPACK framework can be utilized to enhance learning outcomes.
Optimizing Student Internship Management Through a Cutting-Edge Technology-Based Website System at Politeknik Nest Epin Andrian, Dimas Pamilih; Massaty, Muhammad Hassan; Fahrurozi, Slamet Kurniawan
Journal of Global Hospitality and Tourism Technology Vol. 1 No. 2 (2024): Journal of Global Hospitality and Tourism Technology - December 2024
Publisher : Politeknik NEST

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14287767

Abstract

The Student Internship Program is a mandatory course for all Diploma-3 students at Politeknik Nest Sukoharjo. The information required by students and lecturers regarding the Student Internship Program is extensive, and the service is not yet computerized. The purpose of this research is to develop an information system by designing and building a website for recording student internships at Politeknik Nest Sukoharjo. In accordance with the research objectives, this study employs methods such as observation, interviews, document analysis, and literature review. The case study for this research is the Development of a Student Internship Recording Website for Politeknik Nest Sukoharjo. The Student Internship Information System serves as a tool to assist institutions, students, and lecturers in the student internship process. This system is developed as a web-based application using a MySQL database and PHP programming language
Smart Aquaponics: Iot-Integrated Biofiltration In NFT Systems For Sustainable Food Production Massaty, Muhammad Hassan; Andrian, Dimas Pamilih Epin; Fahrurozi, Slamet Kurniawan
Jurnal Ilmiah SINUS Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v24i1.1008

Abstract

This study presents the design and evaluation of an IoT-enabled aquaponic system based on the Nutrient Film Technique (NFT) with integrated bio-mechanical filtration for sustainable food production. Three configurations were tested: NFT 1 (100 fish with bio-mechanical filtration), NFT 2 (50 fish with bio-mechanical filtration), and NFT 3 (50 fish with mechanical filtration only). Automated monitoring using a NodeMCU microcontroller with pH, TDS, temperature, and water-level sensors enabled real-time data transmission to Thingspeak. Over 30 days, NFT systems with bio-mechanical filtration (NFT 1 and NFT 2) maintained stable water quality (pH 6.0–6.8, TDS within tolerance), whereas NFT 3 showed sharp fluctuations and dissolved solids accumulation (up to 280 ppm). Plant growth (Ipomoea aquatica) was highest in NFT 1 (28.5 cm, 30.0 g), while NFT 3 performed poorest. Tilapia growth was also greatest in NFT 1 (50.3 g), though NFT 2 demonstrated superior feed efficiency. These results underscore the pivotal role of biofiltration in stabilizing water quality, enhancing resource efficiency, and supporting integrated aquaponic productivity in IoT-based systems
Analisis Dampak Penggunaan Konten AI-Generated terhadap Kinerja Pemasaran Online UMKM Mahasiswa Solo dalam Mata Kuliah Digital Marketing Fahrurozi, Slamet Kurniawan; Epin Andrian, Dimas Pamilih; Rachmawati, Annisa Noor
YASIN Vol 5 No 5 (2025): OKTOBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v5i5.7587

Abstract

The limited research on the use of AI-generated content (AIGC) in digital marketing education within vocational settings forms the background of this study, despite AIGC’s significant potential to transform how students design promotional strategies and carry out online selling activities. This study aims to analyze how students perceive the use of AIGC and its impact on online sales performance in the context of a Digital Marketing course. A qualitative approach with a case study design was employed, involving eight participants selected through purposive sampling. Data were collected via semi-structured interviews and analyzed using thematic analysis. The findings reveal that AIGC supports content production efficiency, enhances audience engagement, and expands students’ digital reach. However, its impact on sales performance remains inconsistent due to external factors such as market segmentation and distribution strategies. These findings align with social-cognitive learning theory, which emphasizes the role of direct experience in the learning process. The study concludes that AIGC plays a crucial role in supporting project-based learning in vocational education, particularly in the context of digital entrepreneurship. The implications include a theoretical contribution to the literature on AI integration in vocational education, as well as practical recommendations for educators to adapt curricula that are responsive to technological advancements. This research also opens avenues for further studies on the long-term effectiveness of AIGC in enhancing students’ digital business performance.
Implementing Scaffolded CPBL in Digital Marketing Education: A Study of Vocational Students in Information Technology and Culinary Programs Fahrurozi, Slamet Kurniawan; Massaty, Muhammad Hassan; Safira, Safira
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.10090

Abstract

Although digital marketing education has received increasing attention in vocational learning contexts, research specifically examining the role of scaffolded Cooperative Problem-Based Learning (CPBL) in enhancing students’ digital business readiness remains limited. This study aims to explore how scaffolded CPBL influences vocational students’ learning experiences, motivation, and readiness for digital business practices. A qualitative approach with a case study design was employed, involving 68 students from Diploma 3 programs in Information Technology and Culinary Arts at a polytechnic institution. Participants were selected through purposive sampling. Data were collected through reflective journals and semi-structured interviews and analyzed using thematic analysis guided by the MUSIC Model of Motivation framework. The findings indicate that scaffolded CPBL enhances students’ engagement and learning performance through small-group collaboration, facilitator support, and structured learning activities. These elements foster active participation, autonomy, and deeper understanding of digital marketing concepts. Digital business readiness also emerged as a key outcome, reflected in students’ ability to apply marketing strategies, think entrepreneurially, and collaborate in solving real-world business problems. The study concludes that scaffolded CPBL plays a crucial role in preparing vocational students for employment and entrepreneurial pathways in the digital economy. These findings contribute to constructivist learning and motivation theory and extend understanding of CPBL implementation in vocational digital marketing education. The implications of this research include practical recommendations for educators and vocational institutions to integrate problem-based and scaffolded learning approaches into digital marketing curricula and to design more industry-relevant learning experiences. The study also identifies opportunities for future research on CPBL implementation in practice-based vocational courses and longitudinal evaluation of students’ career outcomes.
The Role of AI in Fostering Computational Thinking and Self-Efficacy in Educational Settings: A Systematic Review Massaty, Muhammad Hassan; Fahrurozi, Slamet Kurniawan; Budiyanto, Cucuk Wawan
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 1 (2024): IJIE (Indonesian Journal of Informatics Education) - July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i1.89596

Abstract

This systematic review explores the impact of artificial intelligence (AI) on the development of computational thinking and self-efficacy within educational environments. Computational thinking, a foundational skill in problem-solving, is increasingly recognized as essential for navigating a technology-driven world. AI tools and methodologies have been integrated into educational practices to enhance learning experiences and outcomes. This review synthesizes current literature to examine how AI technologies contribute to the cultivation of computational thinking skills among students of various ages and educational levels. Furthermore, it investigates the role of AI in bolstering students' self-efficacy confidence in one's ability to achieve goals in learning computational concepts. By analyzing empirical studies and educational interventions, this review identifies key mechanisms through which AI supports the development of these critical skills. Insights from this synthesis underscore the potential of AI to transform educational paradigms, providing opportunities for personalized learning, adaptive feedback, and collaborative problem-solving. The findings highlight implications for educators, policymakers, and researchers aiming to leverage AI effectively in educational settings to foster computational thinking and enhance students' self-efficacy, thereby preparing them for future challenges in a digital age.
The Application of Arduino-Based Line Follower Robotics Technology as a Tool to Enhance Students' Self-Efficacy Fahrurozi, Slamet Kurniawan; Massaty, Muhammad Hassan; Budiyanto, Cucuk Wawan; Sutanto, Bayu
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024): (IJIE) Indonesian Journal of Informatics Education - December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.97994

Abstract

This study focuses on a detailed analysis of the Robotics Self-Efficacy Test, aiming to evaluate its effectiveness in measuring students' confidence levels across specific robotics tasks. Using robotics as a learning medium, this research enhances student engagement and practical skills in technical areas. Addressing a gap in precise self-efficacy measurement tools for robotics education, the study employs the RSE-Test to assess confidence in essential robotics tasks, such as robot assembly, programming, and control. Data collection involved a 10-item RSE-Test questionnaire completed by 30 students engaged in robotics activities, followed by a statistical analysis to calculate mean scores, standard deviations, item-total correlations, and Pearson correlational analysis. The overall mean score was 3.9835, indicating high confidence, with a pooled standard deviation of 0.687, showing minimal variation. The pooled Standard Error of the Mean was 0.128, reflecting high precision in estimating the overall mean. Cronbach’s Alpha of 0.810 confirms the test's strong internal consistency, and item-total correlations ranged from 0.423 to 0.703, supporting the reliability of the RSE-Test. Pearson correlation analysis revealed significant relationships between items, further validating the tool. Results indicate high self-efficacy in basic robotics tasks, although students showed slightly lower confidence in more advanced tasks, suggesting areas for further support. This study validates the RSE-Test as an effective tool for measuring self-efficacy in technical education, emphasizing the role of foundational skills in building student confidence. The findings provide valuable insights for curriculum developers, suggesting the need for targeted support in advanced robotics tasks.
Co-Authors A.G. Tamrin, A.G. Cucuk Wawan Budiyanto Dimas Epin Pamilih Adrian Dimas Pamilih Epin Andrian Dwi Maryono Muhammad Hassan Massaty, Muhammad Hassan Muslim, Riyadi Rachmawati, Annisa Noor Safira, Safira Sutanto, Bayu