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All Journal Jurnal Dedikasi Online Learning in Educational Research Information Technology Education Journal Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal MediaTIK
Syukur, Pramudya Asoka
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Penerapan Challenge Based Learning Berbasis Gamifikasi untuk Meningkatkan Pemahaman dalam Pemrograman Web Syukur, Pramudya Asoka; Fardan, Muhammad; Jamaluddin, Asham Bin; Zainuddin, Zainuddin; Rosidah, Rosidah; Jannah, Devi Miiftahul
DEDIKASI Vol 26, No 2 (2024): JURNAL DEDIKASI
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/dedikasi.v26i2.68738

Abstract

Abstrak.  Pemahaman mahasiswa terhadap konsep pemrograman web seringkali rendah akibat pendekatan pembelajaran konvensional yang kurang efektif. Penelitian ini bertujuan untuk menguji efektivitas metode pembelajaran berbasis tantangan (Challenge-Based Learning, CBL) dalam meningkatkan pemahaman pemrograman web. Dengan menggunakan metode Classroom Action Research (CAR) yang melibatkan 35 mahasiswa Pendidikan Teknik Informatika dan Komputer Universitas Negeri Makassar, penelitian dilakukan dalam dua siklus. Pada siklus pertama, nilai rata-rata total mahasiswa sebesar 81,9, dengan aspek logika pemrograman mencatat nilai terendah (80,1). Setelah modifikasi metode, siklus kedua menunjukkan peningkatan rata-rata total menjadi 83,3, dengan kreativitas web mencatat nilai tertinggi (84,1). Elemen fleksibilitas dalam memilih tantangan dan sistem poin berbasis kesulitan terbukti efektif meningkatkan motivasi dan keterlibatan mahasiswa. Dengan demikian, metode CBL yang dimodifikasi tidak hanya meningkatkan pemahaman konsep tetapi juga memotivasi mahasiswa, sehingga relevan untuk diterapkan pada pembelajaran pemrograman web. Kata Kunci: Challenge Based Learning, Classroom Action Research, Gamifikasi, Pemrograman Web
Agile Development of PressAI: Enhancing Educational Efficiency through QR-Based Attendance and AI-Powered Essay Scoring Fakhri , M. Miftach; Syukur, Pramudya Asoka; Pratama, Muh Idul Akbar; Mazidan, A.M Yusran; Olivia, Alya; Rosidah
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i3.5092

Abstract

In learning activities, common issues such as time-consuming and manipulation-prone attendance processes, as well as subjective and inconsistent essay grading, often arise. This study aims to develop PressAI, an AI-based application that automates attendance using QR code technology and provides objective essay grading powered by the OpenAI API. The application was developed using the Agile methodology integrated within the Software Development Life Cycle (SDLC) framework, through iterative stages including planning, requirements analysis, system design, implementation, and testing. The results demonstrate that PressAI enables instant and accurate attendance recording via QR scanning, provides a seamless login experience without repeated authentication, and delivers fast and objective essay assessments. With its features, PressAI is expected to enhance efficiency and transparency in the learning process while offering opportunities for further innovative feature development.
Pengaruh Kecerdasan Buatan dan Media Sosial terhadap Prestasi Akademik dan Kesejahteraan Mental Mahasiswa Rosidah; Musaytir Husain; Desi Arianti; Nurrahmah Agusnaya; Syukur, Pramudya Asoka; Putri Nirmala
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi kecerdasan buatan (AI) dan media sosial telah memberikan dampak signifikan pada pendidikan tinggi, khususnya terhadap prestasi akademik dan kesejahteraan mental mahasiswa. Penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa terhadap penggunaan AI dan media sosial dalam mendukung proses pembelajaran dan kesejahteraan mental mereka. Metode penelitian yang digunakan adalah kuantitatif dengan desain cross-sectional, melibatkan 86 mahasiswa dari berbagai universitas di Indonesia melalui teknik purposive sampling. Data dikumpulkan menggunakan kuesioner daring dan dianalisis secara deskriptif menggunakan SPSS. Hasil penelitian menunjukkan bahwa penggunaan AI memperoleh skor rata-rata tertinggi dibandingkan media sosial, pembelajaran cerdas, prestasi akademik, dan kesejahteraan mental, namun dengan variasi antar responden yang cukup besar. Meskipun AI dan media sosial berpotensi mendukung pembelajaran, penerapannya masih belum optimal dalam meningkatkan prestasi akademik dan kesejahteraan mental mahasiswa secara signifikan. Temuan ini memberikan wawasan mengenai persepsi mahasiswa terhadap teknologi dalam pendidikan, serta menekankan perlunya penelitian lanjutan dengan sampel yang lebih besar dan metode yang lebih mendalam
Menggali Dampak Kecerdasan Buatan dalam Pembelajaran dan Persiapan Kesiapan Kerja Mahasiswa di Pendidikan Tinggi Irwansyah Suwahyu; Muhammad Ma’ruf; Ricky Saputra; Syukur, Pramudya Asoka; Nurrahmah Agusnaya; Putri Nirmala
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Meskipun kecerdasan buatan (AI) memiliki potensi besar dalam meningkatkan kualitas pembelajaran dan kesiapan kerja mahasiswa, implementasinya di pendidikan tinggi Indonesia masih menghadapi kendala, seperti keterbatasan keterampilan digital mahasiswa dan kurangnya integrasi AI dalam kurikulum. Penelitian ini bertujuan untuk mengidentifikasi pandangan mahasiswa mengenai peran AI dalam mendukung pembelajaran dan mempersiapkan mereka untuk pasar kerja, serta untuk mengeksplorasi tantangan dalam penerapan AI di pendidikan tinggi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional dan analisis deskriptif, di mana data dikumpulkan melalui kuesioner dengan skala Likert. Analisis data dilakukan menggunakan perangkat lunak statistik Jamovi 2.6.26. Mayoritas mahasiswa memiliki pandangan positif terhadap manfaat AI dalam mendukung pembelajaran dan mempercepat hasil belajar. Namun, ada ketidakpastian tentang pengaruhnya terhadap peran guru dalam proses belajar. Mahasiswa juga menunjukkan minat tinggi terhadap profesi di bidang AI dan data, namun menyadari adanya tantangan terkait infrastruktur dan keterampilan digital. Penelitian ini menunjukkan bahwa AI memiliki potensi besar untuk meningkatkan pembelajaran dan kesiapan kerja mahasiswa, namun tantangan terkait infrastruktur dan keterampilan digital perlu diatasi agar penerapannya lebih optimal.
Integrating Technology with Academic Success by Evaluating ChatGPT’s Quality Compatibility and Impact on Student Performance Irwansyah Suwahyu; Yohana Rara; Nur Syafitra Ramadhani; Rosidah; Putri Nirmala; Nurrahmah Agusnaya; Syukur, Pramudya Asoka
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8532

Abstract

The use of artificial intelligence (AI) technology in higher education has become an important element to improve students' academic performance. ChatGPT, as one of the generative AI applications, offers speed, ease of use, and relevant responses to support students' learning activities. This study aims to analyze the relationship between overall technology quality, technology characteristics, technology task suitability, compatibility, and performance impact in using ChatGPT on students' academic performance. This study used a quantitative approach with a cross-sectional design and purposive sampling technique involving 182 active student respondents using ChatGPT. Data were collected through an online questionnaire using a 5-point Likert scale covering five main variables. The results of descriptive analysis show a mean value that illustrates that students generally have a positive perception of the use of ChatGPT in supporting their academic activities. These findings suggest that ChatGPT has great potential in improving student productivity and comprehension, although service quality, task suitability, and function compatibility need to be continuously improved to better suit academic needs. Thus, the implementation of ChatGPT in higher education needs to be planned adaptively and ethically in order to optimally support students' learning success in the digital era
AI Literacy Meets Ethics: Critical Appraisal's Mediating Role in Shaping Ethical Awareness in Higher Education Syukur, Pramudya Asoka; Fakhri, M. Miftach; Firdaus, Firdaus; Putra, Kurnia Prima; Adiba, Fhatiah; Arifiyanti, Fitria
Online Learning In Educational Research (OLER) Vol 5, No 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.508

Abstract

As artificial intelligence increasingly permeates higher education systems worldwide, developing students' ethical awareness has become essential for responsible AI implementation. This study seeks to examine the connections between technical understanding, applied knowledge, and critical appraisal in shaping ethical awareness within the context of AI literacy. The study utilizes a quantitative method, applying Partial Least Squares Structural Equation Modeling (PLS-SEM) to data gathered from 322 university students. The findings indicate that technical understanding has a direct favorable influence of 0.180 on ethical awareness, while applied knowledge demonstrates a stronger impact of 0.467. Critical appraisal serves as a significant complementary partial mediator, with indirect path coefficients of 0.083 for technical understanding and 0.155 for applied knowledge, strengthening their relationships with ethical awareness. This study concludes that AI literacy educational programs should not only emphasize technical and applied knowledge but also foster critical appraisal skills to promote ethical AI usage.
Perancangan Sistem Informasi Pengumuman dan Broadcasting (NotifyCasting) Muhammad Arqam; Syahputra, Muhammad Arqam; Hasbar, Fikri Anggara; Aslam, Dhiyaulhaq; Syukur, Pramudya Asoka
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 2, No. 1 (Juni 2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/scientist.v2i1.20241

Abstract

Managing announcements and communication within a company often faces challenges in ensuring the effective and timely dissemination of information. This study aims to design and develop a web-based Announcement and Broadcasting Information System (NotifyCasting) to improve efficiency in information distribution within the company environment. The method used is the waterfall software development model, which includes the stages of requirement analysis, design, implementation, testing, and system maintenance. The results of the study show that the system successfully meets the functional and non-functional needs of the company by providing features such as real-time messaging and announcement delivery, audience filtering, and an accessible announcement archive. Testing with black box and white box methods indicates that the system functions according to the specified requirements, and the user interface is intuitive and easy to use. In conclusion, the NotifyCasting system can significantly enhance communication effectiveness within the company and can be adapted by other organizations for similar purposes.
Perancangan Sistem Informasi Pengumuman dan Komunikasi Berbasis Web di SMK Skyhigh Wulandari, Andini; Rahman, Mufti Fatur; Halik, Syahrul; Syukur, Pramudya Asoka
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 2, No. 1 (Juni 2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/scientist.v2i1.20242

Abstract

The effective and efficient use of information systems is a major challenge for Skyhigh Vocational High School (SMK Skyhigh) in delivering timely and structured information to students and parents. This study aims to design and develop a web-based announcement and communication information system that can improve the accessibility and speed of information distribution within the school environment. The research employs the waterfall software development method, which includes the stages of planning, design, development, and testing. The results show that the system, built using PHP, JavaScript, HTML, and CSS, successfully meets client needs by providing an intuitive and responsive interface. Testing with both black box and white box methods indicates that all system components function well and comply with the specified requirements. In conclusion, this system offers a relevant and practical solution to communication needs at SMK Skyhigh and has the potential to be adapted by other educational institutions.
Sistem Informasi Destinasi Wisata Bulukumba Explore Berbasis Website Amran, Nur Fadillah; Barda, Nur Isnaniya; Arafah, Luthfiyah Ramadhani K.; Syukur, Pramudya Asoka
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 2, No. 2 (Desember 2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/scientist.v2i2.20244

Abstract

The lack of available information regarding tourist destinations in Bulukumba Regency causes difficulties for tourists in exploring the area optimally. This study aims to develop a web-based tourism information system that can facilitate users in accessing and exploring tourist destinations in Bulukumba Regency. This research employs a qualitative method with a descriptive-analytical approach to design and develop this system. The development results indicate that this information system can effectively provide features such as destination profiles, locations, ratings, and tourist reviews. Functional and non-functional testing shows that the system operates according to user expectations, although some technical issues need to be addressed in the future. With this information system, it is expected to enhance tourism promotion and local revenue through increased economic activity in the tourism sector.
Pemberdayaan UMKM melalui Literasi Kecerdasan Buatan dan Teknologi Augmented Reality untuk Transformasi Ekosistem Kewirausahaan Digital di Kelurahan Masale Kota Makassar: Penelitian Amraeni, Amraeni; Alisyahbana, Andi Naila Quin Azisah; Mushaf, Mushaf; Syukur, Pramudya Asoka; Masna, Ummul Khaeri; Andri, Dian Puspita Sari; Isma, A; Dewantara, Hajar
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3543

Abstract

The low level of digital adoption among Micro, Small, and Medium Enterprises (MSMEs), particularly in tax administration and marketing, continues to hinder competitiveness. This community service program focuses on empowering MSMEs in Masale Sub-district, Makassar City through Artificial Intelligence (AI)-based tax literacy and the use of Augmented Reality (AR) for digital promotion. The activity aims to enhance MSME capacity through AI literacy training for tax management and the application of AR in digital marketing strategies. The method used is Participatory Action Research (PAR), implemented through socialization, smart tax and AR content creation training, mentoring, and evaluation using pre-test and post-test. The results show a significant improvement, with the average accuracy increasing from 48.2% in the pre-test to 91.8% in the post-test. This program effectively strengthens MSMEs’ digital skills, improves operational efficiency, and expands AR-based promotional reach, all of which contribute to building a sustainable digital entrepreneurship ecosystem.
Co-Authors Adiba, Fhatiah Alisyahbana, Andi Naila Quin Azisah Amraeni, Amraeni Amran, Nur Fadillah Andini Wulandari Andri, Dian Puspita Sari Arafah, Luthfiyah Ramadhani K. Arifiyanti, Fitria Asham Bin Jamaluddin Aslam, Dhiyaulhaq Barda, Nur Isnaniya Desi Arianti Fardan, Muhammad Firdaus Firdaus Hajar Dewantara Halik, Syahrul Hasbar, Fikri Anggara Irwansyah Suwahyu Isma, A Jannah, Devi Miiftahul Kurnia Prima Putra M. Miftach Fakhri Masna, Ummul Khaeri Mazidan, A.M Yusran Muhammad Arqam Muhammad Ma’ruf Musaytir Husain Mushaf, Mushaf Nur Syafitra Ramadhani Nurrahmah Agusnaya Olivia, Alya Pratama, Muh Idul Akbar Putri Nirmala Rahman, Mufti Fatur Ricky Saputra Rosidah Rosidah Rosidah Syahputra, Muhammad Arqam Yohana Rara Zainuddin, Zainuddin