High Order Thinking Skills (HOTS) is the ability to connect, manipulate, and change the knowledge and experience that is owned critically and creatively in determining decisions to solve problems in new situations. To include HOTS questions in a learning process is an obstacle for Madrasah teachers, including teachers of PC. LP. Maarif NU Lamongan. This community service aimed at improving the pedagogical competence of mathematics teachers of PC. LP. Maarif NU Lamongan. Community-Based Research (CBR) was employed through workshop and training administered by the Mathematics Study Program of UIN Sunan Ampel Surabaya in designing and completing high order thinking questions followed by assistance. The results indicated that the ability of Madrasah teachers to solve HOTS questions as well as its implementation in classroom teaching and learning activities improved significantly.

The maternal mortality rate during childbirth can be reduced through the efforts of the medical team in determining the childbirth process that must be undertaken immediately. Machine learning in terms of classifying childbirth can be a solution for the medical team in determining the childbirth process. One of the classification methods that can be used is the Support Vector Machine (SVM) method which is able to determine a hyperplane that will form a good decision boundary so that it is able to classify data appropriately. In SVM, there is a kernel function that is useful for solving non-linear classification cases by transforming data to a higher dimension. In this study, four kernel functions will be used; Linear, Radial Basis Function (RBF), Polynomial, and Sigmoid in the classification process of childbirth in order to determine the kernel function that is capable of producing the highest accuracy value. Based on research that has been done, it is obtained that the accuracy value generated by SVM with linear kernel functions is higher than the other kernel functions.

Indonesia merupakan negara yang tercangkup dalam wilayah cincin api pasifik aktif (Ring of Fire). Dengan demikian, gempa bumi menjadi fenomena alam yang sudah tidak asing lagi terjadi di Indonesia. Gempa dengan kekuatan magnitudo yang cukup besar akan beresiko merusak sumber daya alam, manusia, dan infastruktur bangunan. Dalam hal ini, sangat perlu dilakukan studi penelitian untuk memprediksi gempa bumi sebagai upaya mitigasi bencana. Metode prediksi yang diterapkan pada studi ini adalah metode ARIMA yang akan diperbaharui dengan estimasi Kalman Filter. Pada perhitungan ARIMA didapatkan model terbaik yaitu ARIMA(0,1,1) dengan perolehan MAPE yang cukup besar yakni 50.5788 sedangkan hasil pembaharuan model ARIMA-KF(0,1,1) memperoleh MAPE yang sangat baik yakni 0.0071. Oleh karena itu, etimasi Kalman Filter dapat dikatakan cukup mumpuni dalam pembaharuan model prediksi ARIMA. Prediksi jumlah gempa tektonik di wilayah Provinsi Jawa Timur pada tahun 2018 paling banyak terjadi pada bulan Juli yakni sebanyak 114 kejadian sedangkan paling sedikit pada bulan Januari yakni 13 kejadian.

East Java province is a large province in Indonesia, in which Surabaya is the second largest metropolitan city after Jakarta. Various problems of development inequality in East Java have caused East Java to be defined as a disadvantaged area in 2015. The determination of disadvantaged regions is carried out every 5 years using 6 criteria and 33 indicators that have been set by the Ministry of Villages, Development of Disadvantaged Regions, and Transmigration. However, from several studies that have been conducted on the determination of disadvantaged regions, there is no research applies 33 indicators as a whole. So in this study, an evaluation of the determination of disadvantaged regions will be carried out using 33 indicators that have been determined by The Ministry of Villages, Development of Disadvantaged Regions, and Transmigration. Criteria data used are the results of the 2014 and 2018 surveys. These data are in the form of numerical data and categorical data. The method used is ensemble Robust Clustering Using Link (ROCK), which is a clustering method that can accommodate mixed data both categorical and numerical, using the concept of distance to measure the similarity or closeness between a pair of data points. The best cluster results for evaluating the determination of disadvantaged regions in 2020 consist of 4 clusters with the smallest Sw and Sb ratio of 0.3873984 and the optimum threshold value of 0.04. The results of the clustering,

Curah hujan merupakan butiran – butiran air yang keluar dari gumpalan awan. Curah hujan sangat penting dalam berlangsung nya kehidupan sehari – hari. Penelitian ini bertujuan untuk meramalkan  rata – rata curah hujan bulanan di Pasuruan dengan menggunakan Metode Holt- Winters Exponential Smoothing. Dimana Metode Holt- Winters Exponential Smoothing merupakan salah satu metode yang dapat digunakan untuk melakukan perhitungan prediksi untuk kedepan nya dengan menggunakan data pada tahun sebelumnya dimana pola data yang digunakan merupakan pola data trend dan pola data musiman. Data yang digunakan untuk penelitian  ini adalah data rata – rata curah hujan bulanan di Pasuruan  pada tahun 2015 – 2019. Data yang didapat merupakan hasil dari Badan Pusat Statistik Pasuruan. Hasil dari penelitian yang dilakukan ini didapat nilai  α=0,024281 ,β=0 ,dan  γ=0,084768 dengan MAPE yang didapat adalah 41% dimana dapat dikatakan bahwa pada metode Holt – Winters Exponential Smoothing menggunakan Model Multiplicative cukup baik dalam melakukan prediksi rata – rata curah hujan di Pasuruan.