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PELATIHAN PENGGUNAAN INTERNET SEHAT UNTUK ANAK USIA DINI Sri Ratna Wulan; Asri Maspupah; Cholid Fauzi; Ani Rahmani; Akhmad Bakhrun; Joe Lian Min
Jurnal Abdi Insani Vol 10 No 1 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i1.799

Abstract

From an early age, children already use a gadget for entertainment. For example, they use it for watching an animation or playing games. However, internet without supervision will harm children's development and increase potential dangers such as sexual crimes, cyberbullying, speech impediments, anti-social, decreased physical health, and easy tantrums. We need awareness of healthy internet use. Meanwhile, kindergarten teachers and parents of students at the Baiturrahman Playgroup Foundation (KB) have limited knowledge of internet use. We held this community service (PkM) to teach the teachers and parents about the importance of healthy internet use, the potential dangers of social media, how to limit the content, and how to protect internet privacy. This training uses lectures, discussions, practice of technical skills, reward for active participants. This community service activities include planning, preparation, implementation, and evaluation. This community service is a success if the participant's knowledge is increased and the level of satisfaction with the implementation of the activity is high. The output consists of profiling the knowledge of the training participants on healthy internet use, training modules, and training evaluation results. We got participant's knowledge and attitude by conducting a survey. The result showed that the participants did not understand the negative impacts of using internet without privacy protection and parental supervision. We also conducted a survey about the satisfaction of the event. It showed that 54.55% of participants experienced increased their knowledge, and 75.61% of participants gave a satisfaction index above 80% (Very Satisfying). With this community service, teachers and parents of students have realized the importance of educating about healthy internet use from an earlier age by providing restriction and supervision through information technology.
Optimizing Function Point Analysis in Moodle: A Plugin-Based Solution for Automated Grading and Student Assessment Lukmannul Hakim Firdaus; Bambang Wisnuadhi; Ani Rahmani
Media Jurnal Informatika Vol 17 No 1a (2025): Special Issue Information System Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v0i0.5758

Abstract

Learning Management Systems (LMS), especially Moodle, have become integral tools in modern education, enabling efficient management of teaching materials, assignments, and assessments. This study aimed to develop and integrate a Moodle plugin for automating Function Point (FP) calculations, a method used in software engineering education to estimate development complexity. The research focused on creating an Activity Module plugin that automates the FP calculation process, reduces manual grading efforts, and provides immediate feedback to students. The plugin underwent functional testing, including Requirement Verification, UI Testing, Integration Testing, and Output Validation, to assess its performance. The results demonstrated that the plugin successfully automated the calculation of Unadjusted Function Points (UFP) and Value Adjustment Factor (VAF), with accurate results and seamless integration into Moodle’s core modules such as assignment creation, grading, and user management. Testing confirmed that the plugin met all functional requirements, and the UI and integration worked as intended. The study concluded that the FP plugin is a viable alternative to traditional FP instruction, delivering time saved, error reduction, and reduced manual grading effort. Limitations of the study include the small-scale testing, and future research should focus on evaluating scalability for larger classes and assessing its impact on student learning outcomes. Further development could explore integrating advanced features like analytics and AI-assisted feedback to enhance the learning experience.