Statistics Risk and Disaster Management Laboratory
The Statistics Risk and Disaster Management Laboratory (SDM) is the home for statistics and the academic community, especially in the field of disaster. This scientific study covers Theory of Spatial Data, Geographic Information Systems, Remote Sensing, and Application of Spatial Statistics for Disaster Data (natural, non-natural, and social disasters) and non-disaster data, Risk Analysis, and Actuarial Sciences. The SDM laboratory provides support for SSP-UII (Statistical Study Program, UII) academic catur dharma activities.
Head of Laboratory
Achmad Fauzan, S.Pd., M.Si
Activities
Carry out practicum learning courses, conduct the compulsory/elective courses (which need lab activities), facilitate research, and support community service in the fields of statistics in disaster management, spatial data, and actuarial sciences.
Facilities
The facilities are the laboratory room and its equipment: the comfortable discussion room, some projectors, sound system, fingerprint, etc. The software for analyzing data includes open-source (R, Rstudio, python, etc.) and licensed (SPSS, Minitab, Tableau, etc.). The modules of practicum in SDM are provided in the printed or digital e-book (limited to some modules which have e-ISBN/ISSN).
Products
Systems for analyzing data and modules. The following table shows some samples of research in Statistics Disaster Management by SDM Lab.
| NUM | TITLE | AUTHOR | YEAR | PUBLICATION’S URL |
| 1 | Harnessing Machine Learning for Spatio-Temporal Classification of Satellite Images: A Case Study of Vegetation Distribution Surrounding the Universitas Islam Indonesia | Achmad Fauzan, Dina Tri Utari, Hannura Adriana, Alifia Tanza | 2023 | Click |
| 2 | Developing deep learning architecture for image classification using convolutional neural network (CNN) algorithm in forest and field images | Meiga Isyatan Mardiyah, Tuti Purwaningsih | 2020 | Click |
| 3 | Application of Clustering Algorithm and Spatial Analysis for Industrial Optimization | Achmad Fauzan, Ginanjar Wiro Sasmito, Sekti Kartika Dini | 2020 | Click |
| 4 | Modeling the Number of Tuberculosis (TB) Cases in Indonesia using Negative Binomial Regression | Rahmadi Yotenka | 2020 | Click |
| 5 | Application of Spatial Regression Model for Modeling Measles Case in Indonesia | Tuti Purwaningsih | 2018 | Click |
| 6 | The Logistic Regression Analysis with Nonparametric Approach based on Local Scoring Algorithm (Case Study: Diabetes Mellitus Type II Cases in Surabaya of Indonesia) | Marisa Rifada, Suliyanto, Eko Tjahjono, and Ayundyah Kesumawati | 2018 | Click |
Gallery
Below are some photos of the Statistics Disaster Management Laboratory (SDM).
