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All Journal Teknosains: Media Informasi Sains dan Teknologi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal INSYPRO (Information System and Processing) JURNAL INSTEK (Informatika Sains dan Teknologi) Agents: Journal of Artificial Intelligence and Data Science Jurnal Rekayasa Sistem Informasi dan Teknologi
Andi Kambau, Ridwan
Universitas Islam Negeri Alauddin Makassar
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Physics

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“STUDENT CENTERED LEARNING” BERBASIS TEKNOLOGI INFORMASI DAN KOMUNIKASI Ridwan Andi kambau
Teknosains Vol 6 No 2 (2012): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v6i1.99

Abstract

Student Centered Learning disingkat SCL atau Pembelajaran yang berpusat pada Mahasiswa merupakan suatu metode  yang memacu mahasiswa untuk berperan lebih aktif, mandiri dan lebih terlibat dalam proses pembelajaran. Disini mahasiswa diarahkan untuk melakukan personelisasi model pembelajarannya. Dibandingkan dengan metode teacher centered learning(TCL) dimana pembelajaran berpusat pada dosen, dan  dosen menjadi pusat dari pengetahuan serta pusat referensi bagi mahasiswa pada matakuliahnya. Saat ini metode TCL pelan-pelan mulai diragukan efektifitasnya dalam proses transformasi pengetahuan dari dosen ke mahasiswa, disisi lain metode SCL mulai mendapat sambutan karena dianggap dapat meningkatkan kemampuan pembelajaran mahasiswa dalam menyerap pengetahuan yang diberikan dan dicari sendiri oleh mahasiswa tersebut..  Implementai SCL ini tidaklah semudah implementasi TCL, jika pada TCL dosen hanya memberikan ceramah dan sekali-kali melakukan diskusi hanya memerlukan pengetahuan bidang ilmu dengan dukungan tool seperti slide Power Point, sedangkan pada SCL dosen harus lebih kreatif menggunakan berbagai tool yang ada dalam rangka memfasilitasi mahasiswa agar dapat belajar secara mandiri, seperti tool e-learning, internet serta perangkat audio video. Penggunaan Teknologi Informasi dan Komunikasi yang singkat TIK dalam SCL sangat membantu mahasiswa dalam melakukan proses pembelajaraan secara mandiri. Internet menyediakan referensi terlengkap yang tersedia kapan saja dan dimana saja. E-learning membantu menyediakan referensi yang lebih  fokus pada mata kuliah yang akan dipelajari. Perangkat Audio Video membantu mahasiswa dalam peningkatan pemahaman terhada suatu materi ajar. Selain itu ada beberapa lagi tool TIK yang akan sangat membantu metode SCL ini, seperti Smartboard, Video Conference, Forum Disuksi Onlline dan lain-lain.        .
Unified Concept-based Multimedia Information Retrieval Technique Ridwan Andi Kambau; Zainal Arifin Hasibuan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1658.724 KB) | DOI: 10.11591/eecsi.v4.1007

Abstract

The explosion of digital data in the last two decades followed by the development of various types of data, including text, images, audio and video known as multimedia data. Multimedia Information Retrieval is required to search various type of media. There is comprehensive information need that can not be handled by the monolithic search engine like Google, Google Image, Youtube, or FindSounds. The shortcoming of search engine today related to their format or media is the dominance of text format, while the expected information could be an image, audio or video. Hence it is necessary to present multimedia format at the same time. This paper tries to design Unified Concept-based Multimedia Information Retrieval (UCpBMIR) technique to tackle those difficulties by using unified multimedia indexing. The indexing technique transforms the various of media with their features into text representation with the concept-based algorithm and put it into the concept detector. Learning model configures the concept detector to classify the multimedia object. The result of the concept detector process is placed in unified multimedia index database and waiting for the concept-based query to be matched into the Semantic Similarities with ontology. The ontology will provide the relationship between object representation of multimedia data. Due to indexing text, image, audio, and video respectively that naturally, they are heterogeneous, but conceptually they may have the relationship among them. From the preliminary result that multimedia document retrieved can be obtained through single query any format in order to retrieve all kind of multimedia format. Unified multimedia indexing technique with ontology will unify each format of multimedia
Proses Transformasi Digital pada Perguruan Tinggi di Indonesia Andi Kambau, Ridwan
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 3 (2024): Februari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i3.481

Abstract

This research focuses on the challenges, strategies, and implementation of digital transformation in Indonesian higher education. Even though digital transformation in higher education is significant, Indonesia's geographic and demographic conditions cause different challenges in the West and East regions of the country. According to this research, digital transformation can improve operational efficiency, education quality, and student readiness for the digital era and Industry 4.0. Although there are similarities with developed countries, this research focuses on specific challenges such as equitable distribution of digital infrastructure, availability of human resources, and government support.This research uses a qualitative methodology and interpretive analysis. This research involved interviews and surveys of fifty academics from various regions in Indonesia. The results show that many areas have different ways of implementing digital transformation. This research also found the need for digital technology infrastructure, smart campus management, project-based learning approaches, and the availability of technology and human resource competencies, which are the main challenges.It was agreed that digital transformation must enter the fields of research and community service. Continuous evaluation, competency improvement, and redesign of educational programs are part of the implementation approach. The research results show different things about the situation in Indonesia. They also give colleges ideas about the best planning and implementation of digital transformation. The result is that this research emphasizes the differences and similarities in the digital transformation of higher education in Indonesia and provides a unique perspective on implementation challenges and strategies. This research can help universities develop digital transformation plans that suit Indonesia's exceptional circumstances.
ANALISIS WEBOMETRICS TERHADAP PEMERINGKATAN UNIVERSITAS: STUDI KASUS: WEBSITE UNIVERITAS ISLAM NEGERI ALAUDDIN MAKASSAR RIDWAN ANDI KAMBAU; SRI WAHYUNI; ABDI NOOR ALI
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 2 (2022): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i2.32604

Abstract

Universitas Islam Negeri Alauddin Makassar (UIN-AM) saat ini sudah terakreditasi “A” atau “Unggul” sejak tahun 2018. Hanya saja untuk skala global yang mengacu pada peringkat Webometrics posisi UIN-AM diperingkat 13 diantara seluruh Universitas Islam Negeri di Indonesia. Mengacu pada hal tersebut UIN-AM masih harus terus melakukan pembenahan, utamanya website UIN-AM (www.uin-alauddin.ac.id). Dengan mengetahui posisi peringkat UIN-AM saat ini di Webometrics, kemudian dilakukan pemetaan website dilanjutkan dengan mengatur strategi dengan analisis ADKAR untuk menghasilkan rekomendasi perbaikan website. Beberapa rekomedasi mengacu pada indikator-indikator yang digunakan oleh webometrics (Impact/Visibility, Tranparancy, dan Excellence) dan turunannya agar lebih terukur, dan terstruktur serta dapat dilakukan secara bertahap. Rekomendasi ini diharapkan dapat menghasilkan peringkat yang lebih baik diantara UIN se Indonesia dan perbaikan peringkat secara global dengan target menjadi 100 besar universitas terbaik di Indonesia.
Agentic AI untuk Otomatisasi dan Personalisasi Layanan Akademik di Perguruan Tinggi Kambau, Ridwan Andi
Jurnal INSYPRO (Information System and Processing) Vol 10 No 1 (2025)
Publisher : Prodi Sistem Informasi UIN Alauddin

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

Abstract

The transformation of higher education institutions from conventional Information Technology (IT)-based systems to Smart Universities requires a systemic and adaptive approach based on artificial intelligence. This study proposes and evaluates the design of an Agentic AI architecture to support academic management and services proactively and autonomously. Using a Design Science Research (DSR) approach, this study designs a multi-agent architecture-based system consisting of sub-agents such as Academic Planner, Advising Agent, and Evaluation Agent. The system was tested with a data sample based on academic service simulation using 500 student entries. The test results show an increase in academic service efficiency, characterized by an average response time of 880 ms, a KRS recommendation accuracy of 92.4%, and a user satisfaction level of 4.5 out of 5. A comparison of the baseline and state-of-the-art shows significant improvements in terms of interoperability, personalization, and operational efficiency. This study concludes that the Agentic AI architecture can be a strategic framework in accelerating the digitalization of academic services and supporting the transformation of higher education institutions towards AI-based Smart Universities.
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMBERIAN BANTUAN SOSIAL DENGAN MULTI OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS (MOORA) Ramli, Zulhisham; Kambau, Ridwan Andi; Hariani, Hariani
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 1 (2024): Vol 4 No 1 (2024): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i1.78

Abstract

Cash Direct Assistance (BLT) is one of the conditional assistance programs from the government as a form of poverty alleviation program. The selection process of potential recipients of BLT in Lamatti Riaja Village, Sinjai Regency, it is not entirely accurate as it is still done manually, resulting in many recipients not meeting the criteria. Based on this, research is conducted to design a decision support system that will facilitate the automatic checking of data for eligible residents who are entitled to BLT funds for each disbursement. This aims to make the selection process more objective, time-efficient, and minimize potential errors in selecting BLT recipients. In this research, the Multi Objective Optimization By Ratio Analysis (MOORA) method is employed. The calculation process utilizes the MOORA algorithm, and the implementation of the system is in the form of a website using the System Development Life Cycle design method, providing good and accurate results. The testing method used is Black Box testing. This research produces a Decision Support System  website with the implementation of a data management subsystem using MySQL. The simulation results of the BLT recipient data calculation using the MOORA algorithm minimize errors in the selection process for potential BLT recipients.
Co-Authors ABDI NOOR ALI Hariani Hariani, Hariani Ramli, Zulhisham Sri Wahyuni Zainal Arifin Hasibuan Zainal Arifin Hasibuan