ABSTRAKPenelitian ini bertujuan menghitung jumlah sel Goblet pada setiap 1000 sel absortif usus halus ayam kampung yang terinfeksi Ascaridia galli secara alami. Penelitian ini menggunakan 10 usus halus ayam kampung yang didapat dari pasar di Banda Aceh. Usus halus ayam kampung diukur kemudian dibagi menjadi tiga bagian (duodenum, jejunum, dan ileum). Kemudian masing-masing bagian usus dibelah dan dihitung jumlah cacing Ascaridia galli. Masing-masing bagian usus tersebut dipotong sepanjang 2 cm, lalu ditempelkan di kertas karton. Kemudian dibuat preparat histopatologis dengan pewarnaan hematoksilin dan eosin. Parameter dalam penelitian ini adalah jumlah sel Goblet pada setiap 1000 sel absortif duodenum, jejenum, dan ileum. Hasil penelitian menunjukkan bahwa jumlah sel Goblet pada setiap 1000 sel absorbtif usus halus yang terinfeksi Ascaridia galli dengan infeksi ringan, sedang, dan berat secara berturut-turut adalah 465, 480, dan 484. Berdasarkan hasil penelitian dapat disimpulkan bahwa semakin banyak jumlah infeksi Ascaridia galli di duodenum, jejenum, dan ileum maka semakin meningkat proliferasi sel Goblet. ____________________________________________________________________________________________________________________ Kata kunci: ayam kampung, Ascaridia galli, sel Goblet ABSTRACT The study aimed to quantify Goblet cells in each 1000 absorptive cells of chicken small intestine (Gallus domesticus) naturally infected by Ascaridia galli. This study used 10 chicken intestines obtained from local market in Banda Aceh. The intestines were measured and divided into three sections (duodenum, jejenum, and ileum). Then each section were dissected and Ascaridia galli were counted from each segment. For all sections 2 cm were cut and fixed on hard paper prior to histophatological examination. The parameter in this study was the number of Goblet cells in each 1000 absorptive cells of duodenum, jejenum, and ileum. The results is showed that the number of Goblet cells in each 1000absorbtive cells chicken small intestine infected by Ascaridia galli with mild, moderate, and severe infections were 465, 480, and 484 respectively. In conclusion, the increasing number of Ascaridia galli infection in duodenum, jejenum, and ileum resulted in increasing of goblet cells proliferation. ____________________________________________________________________________________________________________________

Knowledge and experience are important assets for software organizations. In today's global software development trends, development teams are no longer located in single premise; they are spreading across national and geographic boundaries. As a software project progresses, more and more activities are involved which results with the accumulation of knowledge and experiences. Maintaining and reusing of past experiences are vital; and it is even more crucial for distributed teams. In order to sustain in today's competitive advantages, organizations should prepare a well collaborative solution for managing software development knowledge and experiences to maximize sharing and future reuse. Numerous attempts have been invested by researchers to overcome the issues on knowledge management in software development; however, the emphasis on the actual experiences collected throughout the development phases is limited. Furthermore, there are not many solutions offering comprehensive collaborative solution for managing software development experiences. In this paper, we propose a model for managing software development experiences including its tacit and explicit knowledge based on experience factory approach. The model is adapted for cloud computing environment with the goal to provide efficient and effective collaborative solution for knowledge access, sharing and reuse by capitalizing the cloud's resources and infrastructure. A systematic literature review has been conducted to investigate the current issues of knowledge management in software development and to analyze available approaches and solutions. The findings are quantitatively and qualitatively evaluated to support the model formulation.

This paper discuss the infrastructure requirement of the model named Experienced Based Facto-ry Model for Software Development Process (EBF-SD) in order to ensure the implementation of the model will be able support collaborative environment effectively and efficiently.

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Customer segmentation and profiling has become an important marketing strategy in most businesses as a preparation for better customer services as well as enhancing customer relationship management. This study presents the segmentation and classification technique for insurance industry via data mining approaches: K-Modes Clustering and Decision Tree Classifier. Data from an insurance company were gathered. Decision Tree Algorithm was applied for customer profile classification comparing two methods which are Entropy and Gini. K-Modes Clustering segmentized the customers into three prominent groups which are "Potential High-Value Customers", "Low Value Customers" and "Disinterested Customers". Decision Tree with Gini model with 10-fold cross validation was found as the best fit model with average accuracy of 81.30%. This segmentation would help marketing team of insurance company to strategize their marketing plans based on different group of customers by formulating different approaches to maximize customer values. Customers can receive customization of insurance plans which satisfy their necessity as well as better assistance or services from insurance companies.