Judul: Integrasi Modul Pengelompokan Kode Program C Berdasarkan Struktur pada TOKI Learning Center
Abstrak: Manual detection of source code plagiarism requires a lot of time and effort. Therefore, a system that could help to detect plagiarism of programming assignment is required. The purpose of this research is to build a web application that implements clustering module of C program code based on the structure. The method used to build the system in this research is System Life Cycle. The result of this research is a web application that helps to detect plagiarism of programming assignment in TOKI Learning Center. The application has 3 clustering options, i.e., using clustering method, using the result of test case, and using the combined result of the test case with the clustering method. There are 5 methods of clustering used in the web application, i.e., K-means, bisecting Kmeans, single linkage, average linkage, and complete linkage. To help instructor determine a plagiarism, there are several conditions for consideration provided by the web application, i.e., clustering result, submission time, number of submissions, and the source codes.
Keyword: Bogor Agricultural University (IPB), web application, system life cycle, structure similarity, plagiarism detection, C programming

Judul: Pendeteksian Kemiripan Kode Program C dengan Algoritme KMedoids
Abstrak: Practice of plagiarism on program codes is more common and easier to do. Manual detection of plagiarism takes a lot of time and effort. The detection can be done by grouping program codes that have similar structures. This study intends to apply K-medoids algorithm on 4 C code program datasets to find similarities of code program and analyze clustering results. The experimental results show that the best clustering in dataset1 (If-Else Condition and Looping While) was obtained at k=10 with an average of dissimilarity 2.655, and 18.9% of students have the same group. In dataset2 (Looping While), the best clustering was obtained at k=9 with an average of dissimilarity 2.227, and 32.6% student assignments are in the same group. For dataset3, the assignments are divided into two clusters with an average of dissimilarty 0.719, and 87% of students assignments are in the same cluster. The best c lustering result on the dataset4 was obtained at k=6 with an average of dissimalrity 3.199, and 61% of students assignments are in the same group. The accuracy rate from clustering results is 93.28%
Keyword: similarity detection, K-Medoids algorithm, clustering, Bogor Agricultural University (IPB)

Judul: Duodenal Histopathology of Pediatric Rat (Rattus norvergicus)&#160;Fed with Orange Juice (Citrus sinensis)
Abstrak: This research investigates the impact of orange juice consumption on the histological structure of the duodenum, a critical site for nutrient absorption and digestion. Focusing on pediatric animals, orange juice (with a pH of 3) was administered to post-weaning rats aged 4 weeks to 6 weeks at dosages ranging from 0g/kg BW to 20g/kg BW over two weeks. Duodenal histopathology was assessed, focusing on parameters such as the quantity of crypts of Lieberkuhn, as well as the length, height, width, and depth of villi (measured in µm). Anatomical pathology examination included measurements of the length and width of the duodenum (also in µm), as well as the color mean (OD). The research findings indicate no significant changes in histopathology or anatomy pathology of the duodenum. This suggests that young individuals can adapt to acidic challenges without compromising gastrointestinal health. These findings offer reassurance regarding the short-term consumption of acidic orange juice (with a pH of 3) with minimal risks to intestinal integrity, both during growth and development.
Keyword: acidic changes