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Pelatihan Aplikasi Dashboard RAB Desa sebagai Peningkatan Kapabilitas dalam Pengelolaan Keuangan Desa di Kecamatan Jetis Kabupaten Ponorogo Jawa Timur Hibatullah, Fausania; Susilaningrum, Destri; Ulama, Brodjol Sutijo Suprih; Habibi, Mochammad Reza; Kusrini, Dwi Endah; Dewi, Mukti Ratna
Sewagati Vol 8 No 2 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i2.951

Abstract

Pentingnya Pengabdian kepada Masyarakat (PPM) dalam lingkup perguruan tinggi, termasuk di dalamnya dosen Departemen Statistika Bisnis Fakultas Vokasi ITS, termanifestasi dalam kolaborasi PPM tahun ini dengan Pemerintahan Kecamatan Jetis, Kabupaten Ponorogo, Jawa Timur. Kolaborasi ini bertujuan untuk meningkatkan efisiensi dalam Pengelolaan Monografi Pedesaan, khususnya dalam perhitungan Rancangan Anggaran Belanja Desa (RABDESes). Dalam penjajagan awal, Kecamatan Jetis mengidentifikasi kebutuhan mendesak akan program yang dapat mempermudah penghitungan RABDESes, yang selama ini dilakukan secara manual. Proses manual ini sering mengakibatkan kesalahan dalam perhitungan akhir RAB karena keterbatasan waktu untuk mengisi berbagai komponen pembelanjaan. Oleh karena itu, tim PPM dari Departemen Statistika Bisnis Fakultas Vokasi ITS, bersama dengan mahasiswa KKN, berkolaborasi untuk menciptakan Dashboard RABDESes menggunakan fasilitas yang disediakan oleh program Excel. Selain menciptakan alat ini, tim PPM juga memberikan pelatihan kepada staf kelurahan/desa yang terlibat langsung dalam urusan RABDESes. Tujuannya adalah memastikan pemahaman yang baik tentang penggunaan Dashboard tersebut, sehingga dapat mengurangi kesalahan dan meningkatkan efisiensi dalam proses pengelolaan RABDESes. Melalui inisiatif ini, PPM turut berperan dalam mendukung pembangunan dan pengelolaan keuangan di tingkat pedesaan.
The Analysis of Factors Affecting Stage Level of Breast Cancer Patients at RSUD DR. SOETOMO Surabaya Susilaningrum, Destri; Azizah, Nur; Salamah, Mutiah; Ratna D, Mukti
Devotion : Journal of Research and Community Service Vol. 3 No. 3 (2022): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v3i3.102

Abstract

Breast cancer is the cancer with the largest number in the world, and ranks as the fifth largest cause of death, which is 6.9% of the total 9,958,133 million cases of cancer deaths. Breast cancer is one of the main killers of women in the world and in Indonesia. Breast and cervical cancer dominate cancer cases in East Java. Throughout 2019, RSUD Dr. Soetomo Surabaya received 167,000 cancer patients, and the highest case was breast cancer. The high number of breast cancer sufferers makes this disease requires special attention. The cancer staging or staging system is based on whether the cancer has spread from the breast to other parts of the body. Cancer stage is divided into two categories, namely early stage (stages 0 to III A) and late stage (stages III B to IV). This study will examine the factors that affect the level of cancer stage in breast cancer patients at RSUD Dr. Soetomo Surabaya in 2019. Using the binary logistic regression analysis method, it was found that the factors that significantly influence the stage of breast cancer are Grade and Obesity with a classification correctness level of 82.5%.
Mapping for Tracking Sexually Transmitted Infections by Subdistricts in Surabaya, Indonesia Susilaningrum, Destri; Ulama, Brodjol Sutijo Suprih; Hibatullah, Fausania; Anjani, Diandra Soja
Kesmas Vol. 19, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The 2014 shutdown localization of prostitution in Surabaya City, East Java Province, Indonesia, has given rise to an illegal prostitution industry, resulting in the spread of uncontrolled sexually transmitted infections (STIs). Mapping needs to be done to track the spread of the disease. This study used secondary data on STIs in 2020 from the Surabaya City Health Office. By using biplot analysis, this study sought to offer a detailed understanding of the distribution and dynamics of STI cases in different parts of Surabaya. The early-stage syphilis was found in Tegalsari and Krembangan Subdistricts; then, gonorrheal urethritis was found in Tandes, Karang Pilang, and Pabean Cantian Subdistricts. Meanwhile, gonorrhea was typically found in Tandes, Gunung Anyar, Sawahan, and Karang Pilang Subdistricts. On the other hand, Tegalsari, Krembangan, and Pabean Cantian Subdistricts also had cases of advanced syphilis. This study enables relevant parties, specifically the Surabaya City Health Office, to monitor the method's rapid spread and respond to each case according to the predominant type of STI.
Forecasting the Consumer Confidence Index for Economic Conditions Prediction in Ambon, Indonesia Albertus Eka Putra Haryanto; Destri Susilaningrum; Indra Nur Fauzi
IPTEK The Journal of Engineering Vol. 9 No. 2 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v9i2.a16132

Abstract

Economic developments in Maluku Province show positive growth. However, this is not accompanied by an increase in the confidence index from consumers. It was recorded that from July to September 2022, there was a decrease in the Consumer Confidence Index of around 7.6% to 8.2%. The value of the Consumer Confidence Index can be forecasted using time series analysis. Time series analysis is a method intended to make an estimation and forecasting for the future. Some methods that can be used in forecasting in this study are naive, moving average, single exponential smoothing, double exponential smoothing, and time series regression. This method can be used to forecast the value of the Consumer Confidence Index in Ambon City after the Covid-19 pandemic. It can be concluded from the analysis results that the best model for forecasting the condition of the consumer confidence index value is the Double Exponential Smoothing method with a combination of Alpha = 0,4 and Gamma = 0,5, The forecast results showed a decrease in the value of the consumer confidence index, although the index still showed a relatively optimistic value.