Judul: Model Prediksi Capaian Akademik Mahasiswa Program Sarjana Ilmu Komputer IPB dengan Algoritme C5.0
Abstrak: Penelitian ini mengembangkan prediksi capaian akademik mahasiswa Program Sarjana Ilmu Komputer IPB di tingkat 2 berdasarkan capaian di tingkat 1 dengan pohon keputusan menggunakan algoritme C5.0. Data yang digunakan ialah nilai mahasiswa yang masuk pada tahun 2012 hingga 2014 pada mata kuliah mayor dan interdepartemen. Penelitian ini menggunakan 2 kelas (low risk dan high risk) dan 3 kelas (low risk, medium risk, dan high risk). Jumlah data tidak imbang sehingga penelitian ini menggunakan metode undersampling dan oversampling. Penelitian ini juga melihat keterhubungan antara mata kuliah dan prasyaratnya dengan menggunakan korelasi Spearman dan pohon keputusan algoritme C5.0. Hasil uji model prediksi menghasilkan akurasi terbaik sebesar 94.92% untuk percobaan 3 kelas (2.76 ≤ IPK ≤ 4.00 untuk kelas low risk, 2.00 ≤ IPK< 2.76 untuk kelas medium risk, dan 0 ≤ IPK< 2.00 untuk kelas high risk). Percobaan tersebut menggunakan metode oversampling. Korelasi Spearman menunjukkan adanya keterhubungan antara mata kuliah dan prasyaratnya dengan nilai korelasi 0.308 - 0.839.
Keyword: Algoritme C5.0, keberhasilan studi, klasifikasi, korelasi Spearman, pohon keputusan

Judul: Penentuan Tingkat Keberhasilan Mahasiswa Tingkat I IPB Menggunakan Induksi Pohon Keputusan dan Bayesian Classifier
Abstrak: Tingkat Persiapan Bersama (TPB) or Collective’s Preparation Level is the term that is used to call the first-year bachelor degree students in IPB (Bogor Agricultural University). IPB decides these first-year students graduation from their academic result in the end of TPB year. The students can continue to the next education year if they complete many graduation requirements that was decided before. The success of the first year IPB’s students can be looked from their academic graduation result. One of techniques can be used to determine student success is data mining. Data mining is used to build classifier that shows the success level of the first year student of IPB. This research aimed to develop classifier to describe the level of IPB’s students success and predict the new student of IPB. This research uses two data mining method, that is decision tree and Bayesian classifier (naïve Bayes). Decision tree is used to describe the level of IPB’s students success and to get crusial factor that determine IPB’s students success in their first year. Naïve Bayes is used to predict the new student of IPB. The results this research are a probabilistic classifier naïve bayes with accuracy 57,160 % and a decision tree classifer that contains 3 classifiaction rules with accuracy 63,542%. According to the rules that we got from decision tree, the factor that influence the first year IPB student 2007/2008 is point of high school final examination.
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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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