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Bachelor of Statistics Graduates from Sepuluh Nopember Institute Of Technology.
Pemodelan Faktor-Faktor yang Mempengaruhi Jumlah Kasus Diabetes Melitus di Jawa Timur Menggunakan Metode Geographically Weighted Generalized Poisson Regression dan Geographically Weighted Negative Binomial Regression
Diabetes melitus merupakan penyakit kronis berupa gangguan metabolik yang ditandai dengan kadar gula darah yang melebihi batas normal. Provinsi penyumbang jumlah kasus penderita diabetes melitus terbanyak di Indonesia pada tahun 2019 adalah Provinsi Jawa Timur. Untuk mengetahui faktor-faktor yang mempengaruhi jumlah kasus diabetes melitus digunakan pendekatan dengan metode Geographically Weighted Generalized Poisson Regression (GWGPR) dan Geographically Weighted Negative Binomial Regression (GWNBR). Jumlah penderita diabetes melitus terbanyak di Jawa Timur adalah di Kota Surabaya dengan jumlah 94.076 kasus dan terendah ada di Kota Batu yakni 3.344 kasus. Pemodelan GWGPR menghasilkan 3 kelompok dan model GWNBR menghasilkan 4 kelompok untuk variabel yang signifikan pada masing-masing kabupaten/kota. Faktor-faktor yang berpengaruh signifikan terhadap jumlah kasus diabetes melitus antara lain rasio tingkat pendidikan SMA ke-atas, proporsi aktivitas fisik penduduk, persentase konsumsi rokok, persentase penderita hipertensi, dan proporsi konsumsi minuman manis. Model GWGPR memiliki nilai AICc yang lebih kecil daripada model GWNBR, sehingga metode GWGPR paling sesuai untuk memodelkan jumlah kasus diabetes melitus di kabupaten/kota di Jawa Timur dibandingkan metode GWNBR
Clustering Analysis for Residence Recomendation System
Make an analysis of the case of the residence recommendation. The analysis we use is clustering analysis.
There are 100 categories of response variables. We use 3 cluster methods namely Random Forest, Naive
Bayes, and Logistic Regression. Then the best results are obtained random forest method.
Internship Project at Eco Campus ITS
Practical Work Activities at its Smart Eco Campus Development Unit Surabaya are conducted online / Work from Home. Students are given the task of making assessments of IKL and 3R
indicators and making analysis using descriptive statistics, visualization, and clustering analysis and providing interpretation of the data that has been processed. The processed data can be used as a reference material for its Smart Eco Campus Surabaya Smart Eco Campus Development Unit to determine future regulations or policies.
Analytical Hierarchy Process
Transportation is essential for people's lives, especially nowadays. The demand for transportation in the community is not an immediate need. Transportation can also be referred to as an intermediary medium to achieve other goals. The growing community of transportation users will have an impact on traffic density. Therefore, a survey of transportation selection, especially the city of Surabaya, was conducted because the researchers were students of Sepuluh Nopember Institute of Technology (ITS). The survey was conducted to its Statistics students class of 2017, 2018, 2019, and 2020 online using google form. The number of samples obtained by Simple Random Sampling (SRS) method proportions and obtained a sample of 128 respondents. Furthermore, analysis with the Analytical Hierarchy Process (AHP) method is carried out. The Analytical Hierarchy Process is one of the most inclusive systems considered to make decisions with multiple criteria because this method gives to formulate the problem as a hierarchical and believes a mixture of quantitative and qualitative criteria. Obtained results that respondents prefer alternative transportation in the form of private car because based on the results of the analysis, alternative private car have the highest weight level 3 than other alternatives.
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