No abstract

Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these studies explain that random forest is the best method. However, the classification of data containing outliers and unbalanced data is a complicated problem. Many researchers are also conducting research to deal with these problems. In this study, we propose a winsorizing to deal with outliers by replacing the outlier values with the upper and lower limit values obtained from the interquartile range method and random oversampling to balance the data. It is also known that cases of the Human Development Index (HDI) in regencies/cities in eastern Indonesia vary widely, so cases of HDI in these areas can be used as case studies of data containing outliers and unbalanced data. The purpose of this study was to compare the performance of the random forest before and after the data were applied to the winsorizing and random oversampling to predict HDI in districts/cities in eastern Indonesia. Classification method random forest after handling data containing outliers and unbalanced data has better performance in terms of accuracy and kappa values, which are 96.43% and 93.41%, respectively. The variables of expenditure per capita and the mean years of schooling are the most important.

This study aims to model stunting cases in children under five in Gorontalo city in 2018. In this model, it can be seen that the significant factors that affect stunting cases in children under five in Gorontalo city in 2018.  This study uses data on stunting cases in 9 (nine) districts in the city of Gorontalo and the factors that influence it. The research data were obtained from the Public Health in Gorontalo city. This study used one response variable, namely the number of cases of stunting and four predictor variables, namely number of toddlers who received exclusive breastfeeding, the percentage of low birth weight (LBW), the percentage toddlers who received complete basic immunization, and number of proper sanitation. The results obtained were the variables of number of toddlers who received exclusive breastfeeding and the percentage toddlers who received complete basic immunization which had a significant effect on stunting cases in children under five in the city of Gorontalo in 2018. This was indicated by the P-value of the variable for number of toddlers who received exclusive breastfeeding of 0.00283 and P-value of variable the percentage toddlers who get complete basic immunization is 0.06564.

Tujuan penelitian ini yaitu menemukan kelompok siswa dan kelompokmata pelajaran yang homogen sehingga bisa memantau ataumengetahui kinerja akademik siswa. Langkah pertama yaitumentransformasi data dengan menggunakan normalisasi min-max.Setelah itu, diterapkan ? -Sim co-similarity untuk menghasilkanmatriks similaritas siswa (SS) dan similaritas pelajaran (SP). MasingmasingSS dan SP dikelompokan menggunakan algoritma k-meansclustering dan menggunakan Silhouette untuk menentukan banyaknyakelompok yang terbaik. Pada pengelompokkan SS diperoleh nilaiSilhouette terbesar yaitu 0,9755781 pada iterasi keempat yangmempartisi menjadi 4 cluster sebagai berikut 67 siswa pada cluster 1, 9siswa pada cluster 2, 45 siswa pada cluster 3 dan 43 siswa pada cluster4. Pada SP diperoleh nilai Silhouette terbesar yaitu 0,5756133 padaiterasi keempat yang mempartisi menjadi 2 cluster sebagai berikutBahasa Indonesia dan Bahasa Inggris pada cluster 1 dan Matematikadan IPA pada cluster 2.

Math is applicable in many fields, including financial computing and discussing options. Options are contracts between two parties. The first part acts as a buyer with non-obligatory rights to buy or sell from the second party, who act as the seller with particular assets of predetermined time and price. This research aims to compare the monte Carlo-Antithetic Variate and monte Carlo-Control Variate in determining the purchase price of the Asian option. This study uses data from the closing price of the daily stock of PT Adhi Karya Tbk from October 1st, 2018 – to November 27th, 2019. The findings revealed varying option prices and different error standards. The Antithetic Variate simulation produces option price Rp. 246,6821 and error standard 0,071495 in 10000000th simulation and the Control Variate simulation produce option price Rp. 183,2139 and error standard 0,09716 in the 5000th simulation.  The result was that the Control Variate was considered better at determining Asian option purchase price because of the smaller option and faster error standard in approaching zero.