Judul: Perancangan Prototipe Sistem Temu Kembali Informasi Menggunakan Algoritma Fuzzy Clustering
Abstrak: Perkembangan teknologi informasi, khususnya teknologi Internet menyebabkan limpahan informasi, hal ini menjadikan mesin pencari sebagai perangkat yang memainkan peranan sangat penting. Pada saat ini kebanyakan mesin pencari Internet menggunakan teknik representasi peringkat. Masalah pada teknik representasi peringkat muncul bila hasil pencarian yang diperoleh terlalu banyak. Untuk membantu pengguna dalam mengatasi masalah ini, perlu dipikirkan suatu teknik representasi lain. Salah satu cara adalah dengan mengelompokkan dokumen hasil query yang memiliki kemiripan, misalkan dokumen-dokumen yang memiliki kesamaan subyek dapat dimasukkan dalam satu kelompok atau cluster. Untuk mengelompokkan dokumen, diperlukan algoritma clustering. Saat ini sudah banyak algoritma clustering, antara lain K-Means, Buckshot, Fuzzy CMeans, Hyperspherical Fuzzy c-Means (H-FCM), ε-Insentive Fuzzy C-Means (ε-FCM), Competitive Clustering by Learning (CCL), Fuzzy CCL (FCCL) serta algoritma Fuzzy Subtractive Clustering (FSC).
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Judul: Clustering Indonesian Documents Using Fuzzy C-Means
Abstrak: Document clustering enables a user to have a good overall view of the information contained in the document. Most classical clustering algorithms assign each data to exactly one cluster, thus forming a crisp partition of the given data. Recently, fuzzy clustering approach allows for degrees of membership, to which a data belongs to different clusters. Document clustering aims to make a cluster that is internally coherent but clearly different from other clusters. The documents that are used in this research are several documents from journal of horticulture and documents of medical plantations. All documents in the collections are clustered by using fuzzy C-Means algorithm. Furthermore, in this research threshold is used to weight the words that engage in the clustering process. The appropriate uses of threshold may give a better accuracy for the clustering result. The best result in this research is obtained when the threshold value is 1.5 and fuzzifier value is 2 for the documents from journal of horticulture, whereas for the documents of medical plantations the best result is obtained when the threshold value is 0.75 and fuzzifier value is 2.
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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