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All Journal Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Indonesian Technology and Education Journal Journal of Progressive Information, Security, Computer and Embedded System Jurnal MediaTIK Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan
Wahyu Hidayat M
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Humanities Computer Science & IT Education Engineering Social Sciences Other

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Measuring the Literacy and Understanding Skills of Makassar Students in Using Artificial Intelligence-Based Applications Muhammad Ashraf Naim S; Ahmad Aiman Sanjaya; Rian Irham Putra; Mulky Subhan; Wahyu Hidayat M; Passalowongi, Irfan Jamal
Jurnal MEKOM (Media Komunikasi Pendidikan Kejuruan) Volume 12, Issue 2, August 2025
Publisher : Fakultas Teknik, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/mkpk.v12i2.9859

Abstract

In the era of the Industrial Revolution 4.0, the use of technology has become increasingly widespread and impacted various aspects of life, including education. One such technology that is increasingly developing is artificial intelligence (AI). This study focuses on students' perceptions of measuring Makassar students' literacy skills in using AI-based applications. This study includes an evaluation of students' literacy skills in the context of using artificial intelligence (AI)-based applications. By using questionnaires or assessment instruments, this study will measure the extent to which students understand and are able to apply their knowledge related to AI technology. This study uses a quantitative methodology, namely distributing questionnaires or surveys to determine the level of validity. This study produces data from surveys conducted to a number of respondents. The assessment was carried out to determine how deep the literacy skills and understanding of Makassar students are in using AI-based applications. Based on the results of this study, students in Makassar responded positively to the use of AI Literacy. They assessed AI Literacy as effective in supporting learning and work, providing useful solutions, and understanding user needs. The responsiveness of AI Literacy was highly rated, with students considering it effective and easy to use. This positive impact on students included an improved learning experience.
Pembuatan Sistem Kebakaran Ruang Server Berbasis Web pada DISKOMINFO Kota Makassar Wahyu Hidayat M; Imam MJ, Khairul; Ahmad Safii, Jumadil; Alif Leo, Muhammad; Ahmad Faris Al Faruq
Progressive Information, Security, Computer, and Embedded System Vol. 1, No. 1 Maret (2023)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v1i1.21

Abstract

Development of Web-Based Fire Alarm System in Server Room at Diskominfo Makassar City. Diskominfo Makassar City is an institution that carries out some of the regional government affairs of Makassar City in the  field of communication and informatics. Makassar City Diskominfo has a server room to handle services in the communications and informatics sector for sub-districts and villages in Makassar City. Making a web-based fire alarm is intended as a form of meeting server room security standards in terms of fire threats that can occur at any time and helping to supervise or monitor the server room. The working method or procedure for making this tool goes through the stages of analysis, design, implementation, and testing. The main components needed consist of a KY026 fire sensor, MQ2 sensor, ESP8266 microcontroller, and Laravel 7. This fire alarm tool utilizes Internet of Things (IoT) technology so that the tool can be connected to web applications. This tool detects indications of fire based on the flame wave indicator and carbon monoxide gas through the KY026 flame sensor and MQ2 sensor. Users of this tool will receive email notifications if there is a fire in the server room. It is easy for users to monitor server rooms by accessing web applications built using Laravel 7. This website is still local and can be accessed via a search engine with the address 192.168.43.244. This tool is expected to minimize damage and accelerate the handling of fire incidents in the server room. Testing of this tool was carried out on two components, namely the KY026 fire sensor and the MQ2 sensor. Based on the results of the tests that have been carried out, both components are able to detect fire indicators at certain distances. This is proven by the user receiving a fire notification when the component detects a wave of fire or carbon monoxide gas and the user can monitor the condition of the server room in real time.
Co-Authors Ahmad Aiman Sanjaya Ahmad Faris Al Faruq Ahmad Safii, Jumadil Alif Leo, Muhammad Andi Nur Humairah Andi Shelma Putri Ardi Ansya Asham Bin Jamaluddin Baso Riadi Husda Dewi Fatmarani Surianto Fadhlirrahman Baso Fahrul Ulum Salam Hartini Ramli Ikhram, Pedang Mata Bulan Imam MJ, Khairul Jasruddin Jumadi Mabe Parenreng Jumriah Kurnia Prima Putra Lisdayanti Susanto Muh Akbar B Muh Faisal Muh. Bhilal Halim Muh. Fadlan Amrullah Muhammad Ansarullah S. Tabbu Muhammad Arqam Syahputra Muhammad Ashraf Naim S Muhammad Fajar B Muhammad hasim Muhammad Risaldi Muhiddin P Mukhtar, Nur Aisyah Mulky Subhan Nur Aisyah Nur Azizah Ayu Safanah Nur Ramadhani Bata Ojja Nurul Asia Passalowongi, Irfan Jamal Renaldy Junedy Rian Irham Putra Ridhawi, Ahmad Radif Ridwan Daud Mahande Rifqa Awalia Sasmita Sidrayanti Sudarmanto Jayanegara Wa Ode Nurfadilat Aulia Zikrillah