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Implementation of YOLOv5 Algorithm for Exam Cheating Movement detection Made Aka Suardana; Habibullah Akbar; Martin Saputra; Agung Mulyo Widodo; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51480

Abstract

The decline in academic integrity due to cheating during exams has become increasingly relevant, particularly following the shift to online learning systems. The absence of direct supervision in online exams creates opportunities for cheating practices that evade detection by the naked eye. This study addresses this challenge by developing an object detection model for cheating behavior using a deep learning approach based on the YOLOv5 algorithm. The dataset comprised 60 ten-second videos, extracted into 1,200 images representing four suspicious head movement patterns. Each image was manually annotated before training five YOLOv5 variants. Models were evaluated using object detection metrics (precision, recall, and mAP at IoU thresholds 0.5–0.95) and analyzed via confusion matrices. Results indicate that the YOLOv5x variant achieved peak performance, with mAP@0.5:0.95 of 83.06% and perfect classification accuracy across all classes. This demonstrates that an object detection–based approach provides a reliable preliminary solution for monitoring cheating during online exams.
Evaluation Of It System Operational Services Using The Itil Framework In The Service Desk Domain (A Case Study Of PT Erafone Dotcom) Restamauli br Nainggolan; Budi Tjahjono; Agung Mulyo Widodo; Habibullah Akbar
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51908

Abstract

PT Erafone dotcom is one of the mobile phone and tablet retailer companies in Indonesia from various well-known brands. PT Erafone dotcom uses the service desk as an after-sales support system service for customers or users in the smooth transaction process. The current problem with service desk services is the slow response to handling and resolving obstacles. Evaluation is needed to be able to improve operational services. The Information Technology Infrastructure Library (ITIL) V4 will be used to evaluate service desk services in IT Operational at PT Erafone Dotcom. The purpose of this study is to evaluate IT Support in operational services using the ITIL V4 framework with 2 practices in the domain of General Management Practice and 5 practices in the domain of Service Management Practice. The results of this study are that the level of service in IT Operational and the level of capability are at level 3 (Defined), which means that IT Operational support to users has run optimally referring to management practice procedures and response to incidents. To increase the value of IT Operational support from the maturity level to match expectations and can improve management. The recommendation for improvement is that even though it is at level 3, there is still a gap in the practices used so that it is necessary to improve the recording of incidents and problems that occur, so that they can be analyzed and identified to help handle and prevent the recurrence of incidents and problems.
Design and Development of the RPG Game Novus: A Sole Remnant as a Stem Learning Media Focused on Basic Mathematics Using Godot Engine Kevin Valeri; Gerry Firmansyah; Agung Mulyo Widodo; Habibullah Akbar
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.53022

Abstract

The integration of Science, Technology, Engineering, and Mathematics (STEM) education has become increasingly important in developing students’ critical thinking, problem-solving, and innovation skills. However, elementary school students often experience difficulties in mathematics learning due to conventional teaching methods, low engagement, and mathematics anxiety. This study aims to design and develop Novus: Sole Remnant, a narrative Role-Playing Game (RPG) built with the Godot Engine, as a STEM-oriented learning medium focused on basic mathematics for elementary school students. The research employed a hybrid methodology combining Research and Development (R&D) and Research through Design (RtD) approaches. Data were collected through observations, in-depth interviews, documentation, and qualitative evaluations involving elementary school teachers, students, and casual gamers using purposive sampling techniques. The findings indicate that the game successfully integrates mathematical concepts into gameplay through diegetic learning, allowing students to engage with arithmetic and number pattern challenges naturally within the narrative context. The implementation of visual scaffolding features effectively supported independent learning and enhanced conceptual understanding, while the checkpoint and respawn mechanisms reduced mathematics anxiety and encouraged a growth mindset. Teachers also confirmed the game’s alignment with the Independent Curriculum and its potential as an alternative homework medium. In conclusion, Novus: Sole Remnant demonstrates strong potential as an engaging, pedagogically effective, and technologically feasible digital learning tool for improving elementary mathematics learning and supporting STEM education.
Comparative Analysis of Automated Testing Tools (Automation Testing) Using Cypress and Selenium with Testng Framework on Web Portal Testing Performance in A Banking Company Agam Aprianto; Gerry Firmansyah; Agung Mulyo Widodo; Habibullah Akbar
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.53023

Abstract

The increasing complexity of web-based banking applications has intensified the need for efficient and reliable software testing methods to ensure system quality, security, and operational stability. Traditional manual testing often faces limitations in terms of execution speed, consistency, and scalability, making automated testing an essential approach in modern software development. This study aims to compare the performance of two widely used automated testing tools, Cypress and Selenium WebDriver integrated with the TestNG framework, in testing a banking web portal application. A quantitative experimental approach was employed by executing 104 automated test scenarios, consisting of 41 Login scenarios and 63 Customer Care scenarios, under identical testing conditions. The evaluation focused on execution time, test success rate, stability through repeated testing, and reporting capabilities. The findings reveal that both tools achieved a 100% test success rate across all scenarios. However, Cypress demonstrated significantly better performance in terms of execution efficiency, requiring only 511 seconds to complete all test cases, compared to 2,184 seconds required by Selenium WebDriver with TestNG. Repeated testing also confirmed the stability and consistency of Cypress results. In terms of reporting, Cypress provided a simpler and more user-friendly reporting mechanism, whereas Selenium TestNG with Allure offered more detailed analytical reporting features. In conclusion, Cypress is a more efficient automated testing solution for banking web portal applications, particularly when execution speed, ease of implementation, and testing productivity are prioritized.
Predicting Technical Intern Training Program Trainee Success: A Comparative Machine Learning Analysis For Risk Mitigation Syaban Maulana; Nenden Siti Fatonah; Gerry Firmansyah; Agung Mulyo Widodo
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1r93bf26

Abstract

Japan's demographic crisis has increased demand for the Technical Intern Training Program (TITP). However, for Sending Organizations (SOs) in Indonesia, this process carries high financial risk due to an upfront talent funding scheme, where significant costs (up to IDR 35,000,000) are paid in advance. Trainee failure (dropouts or runaways) leads to substantial bad debt. This research aims to develop and validate a robust machine learning model for risk mitigation. We compare XGBoost and Random Forest on a dataset of 784 historical trainee records, characterized by extreme class imbalance (75.5% majority class). To address prior methodological weaknesses and prevent data leakage, we implement a 10-fold stratified cross-validation pipeline incorporating StandardScaler and SMOTE. The results show XGBoost (mean macro F1-Score: 0.5470 ± 0.15) significantly outperforms Random Forest (mean macro F1: 0.5098 ± 0.15), which is confirmed as statistically significant (p=0.0384) by a paired t-test. Furthermore, SMOTE is validated as a superior imbalance strategy compared to class_weight (p=0.0076). SHAP analysis identified 'contract duration' and lifestyle factors (e.g., 'alcohol consumption') as key predictors. The final model effectively predicts 'Runaway' cases (F1=0.533) but struggles with 'Training Dropouts' (F1=0.170), indicating a key limitation and a need for temporal features in future work.
ESG disclosure as a signaling mechanism linking green capabilities to competitive advantage M. F. Arrozi Adhikara; Fredy Rizaldi; Sugiyanto Sugiyanto; Agung Mulyo Widodo
JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen Vol. 22 No. 2 (2025): JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31106/jema.v22i2.24143

Abstract

This study examines whether Environmental, Social, and Governance (ESG) disclosure serves as a signaling mechanism that links green organizational capabilities to competitive advantage. Survey data were collected from 183 managers of agricultural manufacturing firms listed on the Indonesia Stock Exchange and analysed using Structural Equation Modeling. The study focuses on the relationships among Environmental Consciousness (EC), Green Intellectual Capital (GIC), ESG disclosure, and Green Competitive Advantage (GCA). The findings show that EC strengthens GIC, which then improves the quality of ESG disclosure. The results also indicate that EC and GIC affect GCA only through ESG disclosure, rather than through environmental initiatives alone. This suggests that green capabilities influence competitive outcomes mainly when they are communicated clearly to external stakeholders. Disclosure practices are often linked to better reputation and cost efficiency, but they seem to play a smaller role in product differentiation. Over time, many firms strengthen the connection between green strategies and ESG reporting by making gradual investments in reporting activities and innovation, which can improve disclosure quality, lower concerns about greenwashing, and help support efficiency.
Determinants of Corporate Value in Several Industrial Sectors in Indonesia Rilla Gantino; Agung Mulyo Widodo; Endang Ruswanti; Lukman Cahyadi; Desy Prastyani
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 3 (2026): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i3.698

Abstract

The value of companies engaged in various fields is influenced by many factors, therefore this study aims to determine the influence of profitability, activities, solvency, liquidity, company size, business strategy and intellectual capital on the value of companies listed in the Non Consumer Cyclical, Consumer Cyclical, Property & Real Estate, Transportation & Logistics sectors and the Healthcare sector listed on the IDX for the 2017-2022 period. This research is an explanatory research with a quantitative approach. Sample selection using purposive sampling The results of this study are that profitability has a significant positive effect on the Non Consumer Cyclical and Consumer Cyclical sectors, but in the Transportation & Logistics sector it has a negative effect while in the other 2 sectors it has a negative effect on the other 2 sectors. Activity had a negative effect on the Consumer Cyclical and Property & Real Estate sectors, while other sectors had a negative impact. Solvency has a significant positive effect only on the Non Consumer Cyclical and Consumer Cyclical sectors, but in the Transportation & Logistics sector the effect is not significant, while in the Property and Real Estate and Healthcare sectors it has a negative effect. The value of the company is not affected by Liquidity in all industrial sectors. The company's growth had a positive and significant effect on the Property & Logistics sector and the Transportation & Logistics sector, but in the Non-Consumer Cyclical sector it had a negative effect and on the other 2 sectors it had a insignificant effect. Business strategy has a negative effect on the Non Consumer Cyclical and Healthcare sectors, while the other 3 sectors have a negative effect. Furthermore, intellectual capital has a significant positive effect only on the Non-Consumer Cyclical sector and the Transportation & Logistics Sector and has a significant positive effect on the other 3 sectors.
Co-Authors Achmad Fansuri Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Ahmad Musnansyah Ahmad Mutedi Akbar, Habibullah Alexander Alexander, Alexander Alivia Yufitri Andriana, Dian Annazma Ghazalba Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budi Tjahjono Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Budilaksono, Sularso Cahya Darmarjati Catur Agus Sulistyo Deni Iskandar Deni Iskandar Desy Prastyani Doni Antoro Dulbahri Dulbahri Dwiaji, Lingga Dwiputra, Dedy Eko Fajar Cahyadi Eko Prasetyo Endang Ruswanti Erry Yudhya Mulyani Ety Nurhayati Euis Heryati Fadlilatunnisa, Fanny Fatonah, Nenden Siti Fauza Khair Feni Widianti Fernandes Gamaliel, Adhi Fikri Saefullah Fredy Rizaldi Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Hadi, Muhammad Abdullah Hani Dewi Ariessanti Hartono Hartono Haryoto, Iin Sahuri Hendaryatna Hendaryatna Hendry Gunawawan Heri Wijayanto I Gede Pasek Suta Wijaya Ichwani, Arief Ilham Banuaji Irawan, Bambang Ismiyati Meiharsiwi Iwan Setiawan Izhar Rahim Joniwan Joniwan Karisma Trinanda Putra kartini, kartini Kevin Valeri Khairurrahman, Rifqi Krisogonus Wiero Baba Kaju Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kus Hendrawan Muiz Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana Lukman Cahyadi M. F. Arrozi Adhikara Made Aka Suardana Martin Saputra Massie, Julius Ivander Maulana, Syaban Meiharsiwi, Ismiyati Meria, Lista MF. Arrozi Adhikara Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Mutedi, Ahmad Muttaqin, Naufal Hafizh Nina Nurhasanah, Nina Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Nugraha, William Nurfilael, Gagas Nurfilae Panji Ramadhan Yudha Putra Hadjarati Pratama, Fajar Prayitno Purwano SK Rachman, Riyandi Patu Rahaman, Mosiur Randhy Hans, Achmad Restamauli br Nainggolan Rian Adi Pamungkas Ricky Salim Ricky Salim Rifqi Khairurrahman RILLA GANTINO Riris Septiana Sita Dewi Rizki Faro Khatiningsih Rizky Aulia Roesfiansjah Rasjidin Ryan Putra Laksana Sholeh Gunawan Simorangkir, Holder Sugiyanto Sugiyanto Suhendry, Mohammad Roffi Sunardi, Sunardi Syaban Maulana Syamsul Bahri Tyara Regina Nadya Putri Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Vitri Tundjungsari Wahid Abdul Azis Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah William Nugraha Wisnujati, Andika Yanathifal Salsabila Anggraeni Yessy Oktafriani Yohanes Bagas Ari Widatama Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri