cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Miftach Fakhri
Contact Email
fakhri@unm.ac.id
Phone
+6285656227888
Journal Mail Official
fakhri@unm.ac.id
Editorial Address
JL. Daeng Tata Raya, Kel. Parangtambung, Kec. Tamalate, Kota Makassar , Kode Pos 90244
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Jurnal MediaTIK
Published by Universitas Negeri Makassar
ISSN : 26561247     EISSN : 27155919     DOI : https://doi.org/10.59562/mediatik
Core Subject : Science, Education, Social,
Computer Science & IT Education Social Sciences Other
Jurnal MediaTIK is published by the Informatics and Computer Engineering Education Study Programme of Makassar State University in collaboration with Phinisi Skyline Indonesia. The Media TIK journal is published periodically three times a year, containing articles on research results and / or critical studies in the field of Informatics and Computer Engineering Education from students, lecturers, and practitioners from universities or research institutions. Jurnal MediaTIK already has a print version ISSN with the number 2656-1247 in 2019 and an online version ISSN with the number 2715-5919. MediaTIK Journal contains articles on informatics and computer engineering education in particular: Instructional Technology and Vocational Multimedia Learning, E-learning or blended learning, Information System, artificial intelligence dan robotics, embedded expert system, big data dan machine learning, software dan network engineering
Arjuna Subject : Umum - Umum
Articles 320 Documents
 28   29   30   31   32 
The Effect of Using the Wayground Gamification Platform on Students' Learning Motivation and Learning Outcomes in Informatics Education Azzam Herlina; Wahyu Sakti Gunawan Irianto; Novita Tri Indrasari
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13421

Abstract

This study investigated the use of the Wayground gamification platform in Informatics learning by examining students' learning motivation and learning outcomes. A quantitative quasi experimental design was employed involving an experimental group receiving Wayground supported instruction and a control group receiving conventional instruction. The intervention was conducted over two instructional meetings, with each meeting lasting two lesson periods of 40 minutes. Data were collected using a learning motivation questionnaire and pretest and posttest instruments measuring students' Informatics learning outcomes. The instruments were validated and piloted before data collection. Data were analyzed using descriptive statistics, normality and homogeneity tests, independent samples t tests, and effect size analysis. The baseline comparison showed no statistically significant difference in pretest scores between the experimental and control groups, t(46) = −0.488, p = .628. The posttest analysis showed a statistically significant difference in learning outcomes, t(27.359) = −7.593, p < .001, with the experimental group achieving a higher mean score than the control group. A statistically significant difference was also found in learning motivation, t(44.383) = −5.692, p < .001. The experimental group obtained a mean motivation score of 91.74, compared with 71.25 for the control group. These findings indicate that Wayground supported instruction was associated with higher learning motivation and Informatics learning outcomes under the conditions of this study. The findings should be interpreted considering the short intervention period and nonrandomized group assignment.
Development and Expert Validation of a GASING-Based Teaching Module for Seventh-Grade Social Impact of Informatics Dimas Meluin Tri Ardi; Arfi Agustian; Ainur Rofiq; Azhar Ahmad Smaragdina; Cahyaning Pininta Kustia
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/v9i2/13478

Abstract

This study aimed to develop a teaching module grounded in the GASING approach (Gampang, Asyik, dan Menyenangkan—Easy, Engaging, and Enjoyable) for the Social Impact of Informatics topic and to determine its feasibility through validation by two experts, a content expert and a media expert. A Research and Development (R&D) approach was employed, guided by the 4D model (Define, Design, Develop, Disseminate) and limited to the expert-appraisal component of the Develop stage. Data were collected through observation, teacher interviews, diagnostic testing (n = 32 students), and expert validation questionnaires using a four-point Likert scale. The products developed encompass a main teaching module, a digital student worksheet, Canva-based presentation media, instructional videos, QR-linked supplementary resources, assessment instruments, scoring rubrics, and Google Form quizzes, all integrating the GASING approach with Problem-Based Learning (PBL). The content expert awarded a score of 86% (Highly Feasible), and the media expert awarded a score of 88.89% (Highly Feasible). This study is limited to product feasibility as assessed by expert validation; it does not include classroom trials or effectiveness testing, and therefore no claims regarding learning-outcome improvement can be drawn at this stage.
Development and preliminary expert appraisal of a Wayground Paper Mode instrument for student-device-free pedagogical deep learning Muhammad Kholif Alami; Azhar Ahmad Smaragdina; Cahyaning Pininta Kustia
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13694

Abstract

The implementation of pedagogical deep learning in the revised Merdeka Curriculum emphasizes mindful, meaningful, and joyful learning through an understand-apply-reflect cycle. However, assessment activities in classroom settings still require approaches that support conceptual reasoning and reflection while considering unequal access to individual student devices. This study aimed to develop and conduct a preliminary expert appraisal of a Wayground Paper Mode assessment-reflection instrument for Grade VII Informatics learning in a student-device-free classroom configuration. The study employed a Research and Development approach adapted from the Analysis, Design, and Development stages of the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. The developed prototype consisted of teacher and student learning materials, Wayground Q-cards, ten multiple-choice assessment items representing cognitive levels C2–C5, and three written reflection prompts. Preliminary appraisal was conducted by one material expert and one media expert using four-point rating scales. The results indicated favorable evaluations, while several aspects requiring improvement were identified, including conceptual accuracy, Q-card scanning preparation, and the transition from Paper Mode assessment to written reflection. The revision process resulted in additional technical guidance for teachers. This study contributes a design framework that integrates student-device-free cognitive assessment with structured post-assessment reflection while maintaining digital response collection through a teacher-operated device. Further research involving broader expert validation, classroom implementation, and empirical evaluation is required to examine usability and learning effectiveness.
Development of a web based virtual reality virtual tour for the Makassar City Museum using the Agile method Muhammad Alwi; Fathahillah; Abd. Rahman Patta; Elma Nurjannah
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13715

Abstract

The Makassar City Museum continues to face constraints in disseminating the historical and cultural value of its collections, as public access remains dependent on physical visits and the existing presentation media remain largely static with minimal interactivity. This study aimed to develop a Web Based Virtual Reality (Web VR) virtual tour system for the Makassar City Museum using the Agile method and to evaluate five selected software quality characteristics from the ISO/IEC 25010 standard: Functional Suitability, Usability, Reliability, Performance Efficiency, and Portability. Three other characteristics, Compatibility, Security, and Maintainability, were excluded, as they fell outside the scope and resources of this study. The development process followed a Scrum based cycle comprising product backlog, sprint execution, sprint review, and retrospective, covering 12 functional backlog modules. The evaluation involved two expert validators in software engineering and 30 general public user respondents recruited through purposive sampling. Usability was measured using a 21 item, four indicator questionnaire covering Usefulness, Ease of Use, Ease of Learning, and Satisfaction on a five point Likert scale. Under the specified testing conditions, the system achieved 100% functional suitability across 42 functions as rated by both validators, a 91.04% usability score in the Highly Feasible category, a 100% request success rate under a simulated load of 20 concurrent users, an average page load time of approximately 1.2 seconds with a Lighthouse score of 80, and consistent functionality across the five tested browser and device combinations. Under the specified testing conditions, the system demonstrated satisfactory functional, usability, reliability, performance, and portability results. These findings represent preliminary technical evidence rather than proof of long term educational effectiveness, indicating the need for further research involving larger samples, accessibility testing, and data security evaluation.
Comparing MAUT and SMART for Best Employee Selection Using a Decision Support Approach at Kopi Twenty Dimas Putra Nugroho; Heni Sulistiani
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13835

Abstract

Selecting the best employees at Kopi Twenty relies on subjective managerial assessment. This study compares the convergence, effectiveness, and stability of multi-attribute utility theory (MAUT) and simple multi-attribute rating technique (SMART) in a decision support system for employee selection. A descriptive quantitative approach based on computational simulation was applied to five employees using four criteria: attendance, store arrangement, customer service, and discipline. Sensitivity was assessed in two scenarios involving a change in criterion weights and the addition of an extreme alternative. Under baseline conditions, MAUT and SMART produced identical preference scores and rankings. In the weight variation scenario, the reported rankings changed but remained identical across the methods. When an extreme alternative was added, the reported MAUT scores for the original employees changed with the value range, whereas their SMART scores remained unchanged. The study concludes that computational convergence does not establish the substantive fairness or validity of managerial decisions, which also depend on criterion weights and initial assessments. The system should therefore serve as an explanatory decision support instrument alongside managerial judgment.
Association Between Teaching Assistance Program Experience and Career Readiness for the Teaching Profession Among Prospective Teachers Nur Fadhylah As; Sanatang; Wahyu Hidayat M
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13995

Abstract

This study was motivated by the importance of practice-based learning experiences in preparing education students for careers in the teaching profession, as well as variations in students' career readiness after completing the Teaching Assistance Program in Educational Units (AMSP). This study aimed to analyze the level of career readiness among students in the PTIK Study Program who had completed the AMSP Program and to examine the association between students' perceived experience in the AMSP Program and their career readiness for the teaching profession. A quantitative approach with a cross-sectional correlational survey design was employed. The sample consisted of PTIK students who had completed the AMSP Program in 2025, recruited through convenience sampling based on their accessibility and availability. Data were collected using a valid and reliable Likert-scale questionnaire measuring students' perceived AMSP experience and career readiness for the teaching profession, and were analyzed using descriptive statistics and simple linear regression. The results showed that career readiness for the teaching profession was predominantly high, with a substantial proportion of students also demonstrating very high readiness, reflecting adequate preparedness in areas such as pedagogical knowledge, classroom management, learner diversity, curriculum planning, assessment, and professional development. Students' perceived experience in the AMSP Program was found to be positively and significantly associated with their career readiness, indicating that students who reported stronger experiences and competencies gained through the program also tended to report higher levels of readiness for the teaching profession. These findings suggest that structured practical experiences such as AMSP may support prospective teachers' preparation for the profession, although the relationship should be interpreted as an association rather than a causal effect. The study contributes empirical evidence relevant to strengthening the design and implementation of teaching assistance programs within teacher education curricula.
Development of an IoT-Based Home Security System Using ESP32-CAM With Face Recognition and Real-Time Notifications via Telegram Muh. Rahmat Wahyudi JY; Mustari S. Lamada; Abd. Rahman Patta
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.14422

Abstract

The increasing risk of property crime highlights the need for home security systems capable of detecting potential threats and providing information to users remotely. This study aims to develop an Internet of Things (IoT)-based home security system using ESP32-CAM, a Passive Infrared (PIR) sensor, face detection and recognition, Telegram notifications, and remote buzzer control. The system was developed using a Research and Development (R&D) approach with a prototyping model. The developed system employs the Haar Cascade Classifier for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. System testing included functional testing, face recognition testing, distance and lighting variation testing, Telegram image notification testing, and remote buzzer control testing. Face recognition performance was evaluated using five registered identities, with 100 images collected for each identity and 10 final recognition trials conducted for each registered identity. The results showed an overall face recognition success rate of 80% across 50 final recognition trials. Testing with three unregistered subjects resulted in a correct rejection rate (CRR) of 86.67% and a false acceptance rate (FAR) of 13.33% from 30 trials. The highest recognition success rate of 100% was obtained at a distance of 40 cm, while recognition performance generally declined beyond 40 cm with fluctuations at several tested distances, reaching 0% at 180 cm. Under varying lighting conditions, the system successfully detected faces at illumination levels of 312–4679 lux, while detection was unsuccessful at 87 and 136 lux. For unrecognized-face events, five tests were conducted to evaluate image notification delivery through Telegram, and all notifications were successfully delivered within 4.7–8.0 s. Remote buzzer control also operated successfully, with response times ranging from 3.5–7.4 s. These results indicate that the developed prototype successfully performed its intended home security functions within the evaluated conditions. However, the evaluation was limited by the number of subjects, repeated trials, and testing conditions. Further research should involve larger and more diverse subject groups and broader environmental and network conditions to improve the reliability and generalizability of the system.
Forecasting the Consumer Price Index in Bandar Lampung Using the Autoregressive Integrated Moving Average (ARIMA) Model: An Applied Statistics Context for Mathematics Education Naya Dwi Septiani; Achi Rinaldi; Riyama Ambarwati
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.14445

Abstract

The Consumer Price Index (CPI) is a key economic indicator for monitoring changes in household consumption prices and supporting inflation assessment, making accurate short-term forecasting important for regional economic planning. This study aims to analyze the historical pattern of the CPI in Bandar Lampung, identify the most appropriate Autoregressive Integrated Moving Average (ARIMA) model, and forecast CPI values for March 2026 to February 2027. A quantitative time-series design was employed using 100 monthly CPI observations from November 2017 to February 2026 obtained from Statistics Indonesia (BPS). The analysis followed the Box-Jenkins procedure, including stationarity testing, first-order differencing, model identification using ACF and PACF, parameter estimation, residual diagnostics, model comparison, and forecasting. The results showed that the original CPI series was non-stationary but became stationary after first-order differencing. Among the candidate models, ARIMA(1,1,1) was selected because its parameters were statistically significant and its residuals satisfied the white-noise assumption, with a Ljung-Box p-value of 0.9999. The model produced RMSE = 3.75, MAE = 0.94, MAPE = 0.85%, and MAD = 0.94. Forecasts indicated a gradual increase in CPI from 108.6605 in March 2026 to 109.6443 in February 2027. Therefore, ARIMA(1,1,1) provides an interpretable short-term forecasting model for supporting regional price monitoring and demonstrating an applied use of time-series analysis in mathematics education.  
Analysis of ChatGPT Dependence and Its Use as a Learning Tool among Generation Z Students Raudhatul S. Firzanah; Zulhajji
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.15082

Abstract

The growing integration of generative artificial intelligence in higher education has created new opportunities for learning while also raising concerns about students’ increasing reliance on AI-based tools. ChatGPT is widely used to explain complex concepts, generate ideas, support academic tasks, and provide feedback, making it important to distinguish productive utilization from technological dependence. This study aimed to examine the level of ChatGPT dependence among Generation Z students and to describe how ChatGPT is utilized as a learning tool. A quantitative descriptive design was employed with 102 students selected through proportional stratified random sampling. Data were collected using a structured questionnaire measuring ChatGPT dependence and learning-related utilization and were analyzed using descriptive statistics. The results showed that students’ dependence on ChatGPT was heterogeneous, with moderate dependence emerging as the most frequent category while a notable proportion of students also demonstrated higher levels of reliance. In contrast, ChatGPT utilization as a learning tool was more concentrated at the moderate level, indicating that regular academic use does not necessarily reflect an equivalent level of dependence. These findings highlight an important conceptual distinction between utilization and dependence, as students may use ChatGPT frequently while still maintaining control over their learning, verifying information, and completing tasks independently. The results also suggest that dependence should be understood not only through frequency of use but also through perceived need, learning reliance, and the ability to regulate AI use. The study concludes that higher education institutions should strengthen AI literacy, self-regulation, critical evaluation, and responsible use so that ChatGPT supports learning without replacing students’ independent reasoning, academic judgment, and autonomy.
Fashion as a Medium of Social Identity Construction Among Tourism and Hospitality Students in Contemporary Digital Culture A.Nurmaida; Izmi Burhanuddin; Wardiamansyah Ridwan; Muh. Fadhil Supriadi; Muhlis
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.12663

Abstract

The development of digital culture has transformed how university students express themselves and construct their social identities, positioning fashion as a medium of symbolic communication and self presentation beyond its functional purpose. This study aims to examine the relationship between fashion use and social identity construction while exploring the contextual role of social media in shaping fashion practices among students in the Department of Tourism and Hospitality. Employing a quantitative approach with an explanatory survey design, data were collected from 113 students selected through simple random sampling using structured questionnaires and observation. Descriptive statistics and simple linear regression were applied to examine the research variables and their relationships. The findings reveal that fashion constitutes a meaningful aspect of students' identity expression, reflecting personal characteristics, lifestyle preferences, and social affiliations. Regression analysis demonstrates a positive and statistically significant relationship between fashion use and social identity construction, with fashion use explaining 46.7% of the variation in social identity scores. Social media platforms provide opportunities for students to communicate fashion preferences, manage visual representations, and engage with digital trends, although their independent statistical contribution was not examined. These findings highlight the importance of fashion as a form of social communication within contemporary digital culture and offer insights into the intersection of personal identity, digital self presentation, and social interaction in higher education. The study emphasizes the relevance of digital literacy and responsible identity expression in supporting students' personal and professional development.

Page 32 of 32 | Total Record : 320

 28   29   30   31   32 

Filter by Year

2018 2026


Reset
Filter By Issues
All Issue Volume 9, Issue 3 September 2026 Volume 8 Issue 3, September (2025) Volume 8 Issue 2, Mei (2025) Volume 8 Issue 1, Januari (2025) Volume 7 Issue 3, September (2024) Volume 7 Issue 2, Mei (2024) Volume 7 Issue 1, Januari (2024) Volume 6 Issue 3, September (2023) Volume 6 Issue 2, Mei (2023) Volume 6 Issue 1, Januari (2023) Volume 5 Issue 3, September (2022) Volume 5 Issue 2, Mei (2022) Volume 5 Issue 1, Januari (2022) Volume 4 Issue 3, September (2021) Volume 4 Issue 2, Mei (2021) Volume 4 Issue 1, Januari (2021) Volume 3 Issue 3, September (2020) Volume 3 Issue 2, Mei (2020) Volume 3 Issue 1, Januari (2020) Volume 2 Issue 3 (2019) Volume 2 Issue 2 (2019) Volume 1 Issue 1 (2018) More Issue