Judul: Segmentasi Nasabah dalam Pengembalian Kredit dengan Metode CHAID
Abstrak: Credit is one part of capital formation carried out by financial institutions, in this case the banks to public. Credit risk is the potential loss of consumer credit refusal or inability to pay its debts in full and on time. Customers in the level of credit risk is influenced by some variables. But in reality, too many variables that would complicate the determination level of credit risk for the bank in the future. Because of this, it is necessary to simplify the variables in a way to sort out which variables are the most significant influence. CHAID (Chi-Square Automatic Interaction Detection) method is one of method can be applied to address this problem. Results of analysis of this study is that there are four explanatory variables that are associated with the structural status of the collectability of customer. The variables are the number of installments, job, loan term, and gender. CHAID analysis produces six customer segments. From the table, it can be concluded that the classification accuracy of prediction for the current customers by 96.2% while the predictive accuracy of customer loss amounting 10.0%.
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Judul: Analysis of Chi-square Automatic Interaction Detection (CHAID) for Segmentation and Customer Targeting to Minimize Non-performing Loan
Abstrak: Banking plays an important role in the economy because it can increase growth and development, especially in the economic sector. Bank is one of the financial institutions or companies engaged in finance that carry out various kinds of services, such as providing loans, distributing currencies, controlling currencies, as a place to store valuable objects, finance companies, etc (Limbong et al. 2010). Credit is the most important thing in bank activities, considering that the largest income of a bank is obtained from the credit sector. CHAID analysis is conducted to identify potential customer segments based on the variables that have the most significant influence to credit status. SMOTE is conducted for managing unbalanced data with 600% oversampling and 117% undersampling. Based on CHAID analysis, the characteristics that characterize the variety of credit status were the loan term, the latest education, gender, age, and loan amount with 5% significant level. CHAID analysis produced 14 segments based on the independent variable associated with the response variable which in this case the response variable is credit status with a classification accuracy of 67.9%.
Keyword: bank, CHAID, credit, market targeting, non-performing loan, segmentation, SMOTE

Judul: Kajian etnobotani masyarakat suku marini sendawi di kawasan taman nasional Wasur, kabupaten Merauke, propinsi Papua
Abstrak: Taman Nasional Wasur (TNW) merupakan salah satu taman nasional yang terletak di Kabupaten Merauke, Papua Taman nasional ini maupakan salah satu taman nasional model, yaitu karena di dalam kawasan terdapat penduduk yang masuk dalam pengelolaan taman nasional. Masyarakat adat yang tinggal di kawasan TNW memiliki kearifan tradisional dalam memanfaatkan tumbuhan untuk kehidupan sehari-hari. Kearifan tradisional tersebut sesuai menurut pengetahuan lokal yang mereka ketahui. Hasil penelitian ini diharapkan dapat menjadi bahan masukan dalam pengelolaan Taman Nasional Wasur, Kab. Merauke, Papua. Penelitian ini dilakukan di 6 lokasi yang terdapat di dalam dan sekitar TNW yaitu kampung Ndalir (Nggawil Anim), kampung Rawa Biru, Yanggandur dan Sota (Kanume), kampung Wasur (Marori-Men Gey) dan kampung Poo (Yeinan). Waktu penetitian adalah bulan April sampai Juni 2008. Bahan yang digunakan dalam penelitian ini adalah dokumen/laporan penelitian yang telah dilakukan baik oleh pibak Balai TNW maupun oleh instansi/pihak lain, tumbuhan untuk pembuatan herbarium, dan alkohol 70%, sedanngkan alat yang digunakan adalah peta, kamera digital, kertas koran kantong plastik, sasak, tally, sheet, kuisioner, label gantung, alat tulis menulis.
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