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Current advances in information technology have encouraged universities to utilize student academic data as a basis for decision-making, one of which is predicting academic achievement. This study aims to apply the C4.5 algorithm to develop a system for predicting student academic success in the Islamic Religious Education Study Program. This method was chosen because it produces a decision tree model that is easy to understand and has a high level of accuracy. The data used comes from student achievement indexes from semesters 1 to 5. The research results showed that the prediction system achieved 99.62% accuracy and achieved high recall precision across each class category. This demonstrates the effectiveness of the C4.5 algorithm in predicting student academic achievement and has the potential to serve as a valuable tool for decision-makers in higher education.

ABSTRACT Information services on campus are often delayed due to reliance on staff, resulting in long queues and inefficient waiting times. This study aims to design and develop a robotic interaction system based on speech recognition and Natural Language Processing (NLP), equipped with a virtual button as an alternative activation method. The system allows users to interact with the robot using voice, while the virtual button provides an additional option for users who are more comfortable with touch-based interaction. The research method employed is prototype development, which includes the design, implementation, and evaluation of the system. Testing was conducted to assess the effectiveness of the system in delivering information services quickly and accurately. The results show that the developed system can enhance service efficiency, reduce dependence on staff, and facilitate faster and more practical interactions between users and the robot. This study is expected to contribute to the development of technology-based public service systems, especially in the campus environment. Keywords: robotic interaction, speech recognition, NLP, virtual button, public service

Academic data increases every year in line with the increase of students. Abundant data store is alsoan abundance of information. Data mining technology is a tool for extracting information on largedatabases and has been widely used in many domains. Predicting student performance (study evaluation) isan activity to determine a future state based on existing data. Data in the field of academic research hasbeen done with various methods and algorithms, but the use of algorithm SLIQ (Supervised Learning InQuest) has not been done.SLIQ is an algorithm developed by the IBM's Quest project team in 1996 for mining large datasets.SLIQ algorithm classify and predict the students performance, beginning with the data cleaning, conductedelection training and testing data. By calculating gini index of each attribute and then selecting thesmallest gini index data table is split according to the criteria until find the same class. From the results ofthe calculation process can produce a set of rules that can be used to predict student performance.From the experiment it can be concluded that the algorithm SLIQ with decision tree technique canbe used as an alternative in designing a system datamining applications. Tests conducted system showedthat the constructed model can be used to predict the performance of new students. The resulting accuracyof the model system in fact has a lower score than the accuracy of other applications that are used as acomparison of Tanagra. Advantages of the proposed system is in its design does not need complexcalculations in obtaining the gini index attributes.

Tata kelola TI atau IT (Information Technology) Governance merupakan struktur hubungan dan proses untuk mengarahkan dan mengendalikan organisasi untuk mencapai tujuannya dengan menambahkan nilai ketika menyeimbangkan risiko dibandingkan dengan TI dan prosesnya. Dalam penelitian ini dihasilkan suatu rekomendasi IT Governance yang merupakan pengembangan dari IT Governance yang sudah dilaksanakan oleh Institusi saat ini, namun saat ini proses IT Governance belum dilakukan secara menyeluruh. Rekomendasi IT Governance ini dibuat guna meningkatkan kinerja TI layanan akademik yang ada di UNISBANK, dimana aktivitas layanan akademik tersebut menjadi tanggung jawab kerja suatu biro yang bernama BAAK dan pengadaan dan pengelolaan TI yang ada  menjadi tanggung jawab suatu divisi yaitu P2ICT. Perancangan IT Governance dalam penelitian ini menggunakan kerangka kerja COBIT (Control Objective For Information and Related Technology) versi 4.0, Dalam penelitian ini hanya dibahas 2 domain dari 4 domain yang ada di COBIT dengan pembahasan dibatasi pada tingkat control process saja, tidak membahas aktivitas-aktivitas yang terdapat di setiap control process. Domain yang dipilih dalam penelitian ini untuk dibuatkan rekomendasi pengelolaan TI adalah domain Deliver and Support (DS), Monitor and Evaluate (ME). Dari pemetaan model maturity tersebut diperoleh bahwa tingkat maturity untuk DS mendidik dan melatih users berada pada level maturity 4 (diatur), sementara untuk DS mengelola data berada pada tingkat maturity 3 (ditetapkan), Domain untuk Monitor dan evaluasi kinerja TI berada tingkat maturity 3 (ditetapkan). Berdasarkan pemetaan maturity tersebut dirancang rekomendasi IT Governance untuk masing-masing control process agar tingkat maturity dari masing-masing control process tersebut bisa lebih baik. Berdasarkan visi, misi, tantangan masa depan, dan tingginya harapan manajemen UNISBANK terhadap proses IT COBIT, dapat disimpulkan untuk dapat mendukung pencapaian tujuan UNISBANK setidaknya tingkat maturity pengelolaan IT yang dilakukan harus berada pada tingkat 4 – diatur (managed) dimana proses di monitor dan diukur manggunakan indikator tertentu.