Judul: Clustering composition of medical herbs using K-means algorithm
Abstrak: Jamu adalah obat tradisional berbahan alami. Jamu merupakan warisan budaya Indonesia yang dipercaya bermanfaat untuk kesehatan. Dalam perkembangannya telah dilakukan penelitian tentang hubungan antara komposisi dan khasiat jamu yang memiliki aktivitas farmakologi tertentu. Namun, dalam perkembangannya hubungan khasiat jamu dengan komposisi yang terkandung di dalamnya menjadi topik yang menarik untuk dikembangkan. Clustering adalah salah satu metode pengelompokan sejumlah obyek berdasarkan ciri atau atribut tertentu ke dalam sejumlah kelompok (cluster). Metode ini digunakan untuk mengelompokkan tanaman herbal penyusun jamu untuk dianalisa hubungan antara khasiat dengan komposisi jamu menggunakan algoritme K-means. Tanaman jamu yang dikelompokkan memiliki khasiat yang sama dengan efikasi yang dominan pada kelompoknya., Jamu is a traditional medicine that made from natural ingredients. Jamu is Indonesian national heritage that believed to be useful for health. In the development of the research has been done, found the relationship between the composition and efficacy of herbs that have specific pharmacological activity. However, the efficacy of herbal medicine development relationship with the composition becomes an interesting topic to be developed. Clustering is one of method to grouping a number of objects based on certain characteristics or attributes into a number of groups (clusters). This method is used to classify the ingredients of herbs that used to compose jamu and analyze relationship between efficacy and composition of jamu using k-means algorithm. Herbs are classified as having the same efficacy of the dominant group. Keywords: Clustering, Herbal Medicine, Herbs, K-means
Keyword: Clustering, Jamu, K-means, Tanaman Herbal

Judul: Klasifikasi khasiat formula jamu menggunakan metode support vector machine dan algoritme k-means sebagai penyeleksi fitur
Abstrak: Jamu adalah tanaman obat tradisional dari Indonesia yang terkenal dengan istilah herba atau herbal yang terbuat dari bahan alami seperti akar-akaran, daundaunan, kulit batang, buah, dan bagian dari tubuh hewan. Tujuan penelitian ini adalah membuat sistem klasifikasi khasiat jamu berdasarkan komposisi tanaman menggunakan metode support vector machine (SVM) dan menerapkan metode clustering k-means sebagai seleksi fitur. Hasil dari penelitian ini dibandingkan dengan penelitian sebelumnya yang menggunakan metode SVM tanpa dilakukan seleksi fitur. Penelitian ini menggunakan ragam untuk mengevaluasi hasil clustering. Sebanyak 3138 data jamu dan 465 jenis tanaman dikelompokkan ke dalam 100 cluster dengan ragam sebesar 0.0096. Pengelompokan tersebut berhasil mereduksi dimensi data sebanyak 3047 data jamu dan 236 jenis tanaman. Klasifikasi SVM dengan menggunakan seleksi fitur menghasilkan akurasi sebesar 71.5%.
Keyword: classification, feature selection, jamu, k-means, machine learning, support vector machine

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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