Judul: Kajian Perbandingan Model Credit Scoring Terhadap Data Numerik Dan Tata Kategorik Menggunakan Regresi Logistik
Abstrak: Model scoring diperlukan oleh berbagai institusi dan perusahaan untuk meningkatkan profitabilitas mereka. Model regresi logistik merupakan salah satu teknik yang sering digunakan. Penggunaan teknik ini pun menjadi populer karena memberikan kemudahan dalam interpretasi dan ketersediaan software yang dapat menanganinya. Permasalahan yang sering muncul dalam penyusunan model scoring ini adalah bagaimana memilih peubah penjelas yang akan dimasukkan ke model dan mampu mencerminkan keadaan finansial debitor. Selain itu dalam pembentukkan model terganggu dengan keberadaan data outlier dan data yang hilang (missing) pada kasus-kasus tertentu. Data-data yang ada saat ini sangat rentan terhadap noise, missing value, dan tidak konsisten. Salah satu teknik yang digunakan untuk menanganinya adalah dengan transformasi data dan reduksi data. Oleh karena itu penelitian dilakukan untuk membandingkan model scoring yang dibangun oleh nilai asli peubah penjelasnya dengan model scoring yang dibangun oleh nilai hasil diskretisasi peubah penjelasnya menggunakan metode regresi logistik. Berdasarkan perbandingannya tersebut model yang peubah penjelasnya dibangun oleh nilai hasil diskretisasi memberikan peluang untuk menghasilkan model dengan performans yang lebih baik.
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Judul: Perbandingan Metode Diskretisasi Dalam Model Regresi Logistik (Studi Kasus : Pembentukan Model Penskoran Kredit Bank X)
Abstrak: The number of KPR customers of bank X decreased since February 2012 until August 2012. Logistic regression which is used in credit scoring model is not only able to identify the significance factors but also to know the scoring value in each category of explanatory variable. The data used in credit scoring model must be categorical data. Continuous data needs to be discretized in order to get categorical data. Discretization process can use chimerge method (model I) and equal with interval method (model II). Based on logistic regression, the factors that affect the respon are sex, employment status, education, occupation, age, and income. Correct classification table, shows that model I is better to classify than model II, therefore the scorecard is made based on model I.
Keyword: scorecard, logistic regression, equal with interval, credit scoring, chimerge

Judul: Lejeuneaceae Subfamily Ptychanthoideae (Hepaticae) in  West Java
Abstrak: Subfamily Ptychanthoideae of the family Lejeuneaceae (Hepaticae) in West Java is still poorly known. Publications on this subfamily are out of dated and written in the 19th or early of 20th century. The last taxonomic treatment of Ptychanthoideae of West Java was in 1933, many species names have changed since then. Studies on Ptychanthoideae of West Java are urgently needed. Studies on the Ptychanthoideae were based on the specimens collected from West Java. A total number of 361 of specimens deposited in the Herbarium Bogoriense (BO), Herbarium Biotrop (BIOT), Gottingen Herbarium (GOET) and Bangi Herbarium (UKMB) were examined, those are old and several recent specimens collected in West Java. Recent collections were made from Telaga Warna, Ciater, Gunung Halimun Salak National Park, Cibodas Botanical Garden, Bodogol Education Center and Conservation (Gunung Gede Pangrango National Park), University of Indonesia Campus Depok, including several collections from Banten Province. Twenty four species of Lejeuneaceae subfamily Ptychanthoideae are known from West Java, belonging to 8 genera namely Acrolejeunea (Spruce) Schiffn. (2 species), Archilejeunea (Spruce) Schiffn. (1 species), Lopholejeunea (Spruce) Schiffn. (10 species), Mastigolejeunea (Spruce) Schiffn. (3 species), Ptychanthus Nees (1 species), Schiffneriolejeunea Verd. (1 species), Spruceanthus Verd. (2 species) and Thysananthus Lindenb. (4 species). Two new records of Ptychanthoideae: Mastigolejeunea indica Steph. and Thysananthus minor Verdoorn are reported for Java. A determination key to the species is presented including their descriptions and illustrations.
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