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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.

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

CV KIA is a shop engaged in the field of computer sales and services, coming directly to make transactions and provide computer service information services. So there are obstacles that are quite time consuming and transportation costs for customers to find out information on goods, stock of goods, and the process of purchasing goods because customers have to come directly to the store. Product information on CV Kia cannot be updated in real time so that there is a delay in calculating stock of goods. The method used in this study is the prototype development method and is designed using UML. This system uses two programming languages, namely PHP. Implementation using the Xampp application, and MySQL. The results of this study are the design and creation of a web-based sales information system. The system that is built will also later facilitate the sales transaction process which can later reduce the level of competition with the outside market. This system displays information about product sales, and can carry out the sales transaction process so that customers do not need to come to the store to get information and make product purchases. The results of testing that has been carried out involving 10 Respondents that the conclusion of the quality of the feasibility of the software produced has a percentage of success with an average total of 100%.  Keywords: Sales, Prototype, PHP, Information Systems, Sublime Text

Pelacakan alumni (tracer study) menjadi salah satu kegiatan yang sangat penting penting untuk dilakukan secara berkala dan konsisten. Pelacakan alumni sebenarnya merupakan salah satu bagian dari pengembangan universitas atau perguruan tinggi yang berkelanjutan. Hasil pelacakan alumni yang baik akan menghasilkan inputan yang baik pula pada universitas khususnya program studi untuk mengembangkan kurikulum dan model pembelajarannya. Sistem pelacakan alumni dibangun berbasis website dengan metode pengembangan sistem prototipe. Pengembangan sistem dimulai dengan pengumpulan data pada objek dan pengguna melalui metode wawancara dan observasi. Setelah itu dilakukan analisa sistem menggunakan metode PIECES dan dilanjutkan dengan perancangan sistem menggunakan metode Unified Modelling Language (UML). Penelitian ini menghasilkan model awal sistem pelacakan alumni yang kedepannya akan terus dikembangkan sesuai dengan perkembangan peraturan dan kebutuhan penggunanya.

SMK.S Al Habibatain Bumiayu Brebes memiliki dua program  studi yaitu Jurusan Teknik Komputer Jaringan dan Teknik Sepeda Motor, selama ini aktifitas yang dilakukan di sekolah masih menggunakan pelayanan manual bahkan sekolah tersebut belum memiliki website termasuk dalam pendafataran mahasiswa baru dan penelusuran alumni. Hal ini membuat pelayanan menjadi lambat dan sulit untuk menelusuri para alumni yang sudah bekerja ataupun yang sedang kuliah. Dari persoalan yang ada  maka penulis berinisiatif melakukan penelitian untuk mengembangkan  sistem informasi sekolah dengan menerapkan metode waterfall untuk meningkatkan pelayanan yang selama ini masih terkendala. Metode waterfall adalah metode yang bersifat sistematis dan berurutan dalam membangun sebuah aplikas, waterfall juga sering disebut dengan classical life cycle. Sehingga metode waterfall sangat cocok dalam membangun aplikasi yang baru dan juga dalam pengembangan aplikasi dengan tingkat resiko yang kecil serta waktu pengembangan yang relative cukup cepat. 

This research made for applying adaptive tutoring system for programming languages learning.Adaptive tutoring system that developed have ability to present learning material, providing quiz problem,test problem and pretest. System has ability to present learning material accords ably student materialmastery. Material representation bases prerequisite material probability that accounted by bayes'stheorem, meanwhile student material mastery is accounted bases time that is utilized to study material,assess quiz that is reached and student test point. Developed system gets web basis to be able to beaccessed by a lot of student on one time and learning get at call been done. In this research is concludedthat adaptive tutoring system can help student does navigation learning material, recommending learningaim and presents learning material thread.

A university as an educative institution needs an assessment for the programs it has. In order to conduct such assessment , some components need to be assessed based on the internal and external factors. It is necessary to establish a decision support system toward the performance of the department. It can help the decision maker to know the condition occurred in this department. 'l he assessment of the study program's performance for evaluating can be done by underlining the components that will be assessed by making the model. The model which is prepared by applying some rules, stated in accreditation board, will be used as a reference in performance assessment for  Diploma III program. By applying a model toward the assessment criteria from the related department, it will help us to get the result. The achieved result is in form of the total score from the assessment, the score is devided into 5 class excellent, very good, good, sufficient and poor. Consequently, the report of resulting assessment can be to determine some steps to improve or maintain the recent achievement. By applying the decision support system of the department’s performance , it allow a decision maker to be able to monitor the department or the study program.