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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Sewagati Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Brodjol Sutijo Suprih Ulama
Jurusan Statistika Institut Teknologi Sepuluh Nopember (ITS) Surabaya
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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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.
Public Satisfaction Analysis of Surabaya City Using Importance Performance Analysis and Customer Satisfaction Index Putra, Fahmi Maulutfi Dwi; Ulama, Brodjol Sutijo Suprih
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 3, No 2 (2024): December
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v3i2.14026

Abstract

Service for the public is one of the tasks that the government must carry out. The government as a public servant must be able to provide services from all community needs in all matters such as licensing, population (Identity Card, Family Card, Birth Certificate) and so on. Surabaya City is one of the cities in East Java. Surabaya City has the task of handling regional autonomy affairs. The tasks carried out must be structurally and morally accountable to the community. In the service activities provided, there are still many complaints from the people of Surabaya City. Therefore, research was conducted on Surabaya City community satisfaction by directly surveying public services in order to increase Surabaya City community satisfaction. This research will be analysed using the customer satisfaction index and importance performance analysis methods so that it can be concluded that the people of Surabaya City are not satisfied with the public services provided.
Interpretable machine learning for academic risk analysis in university students Dewi, Mukti Ratna; Habibi, Mochammad Reza; Babgei, Bassam; Ananda, Lovinki Fitra; Ulama, Brodjol Sutijo Suprih
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3089-3098

Abstract

Higher education institutions often grapple with issues related to academic risk among their students. These academic risks encompass low academic performance, study delays, and dropouts. One approach to address these challenges is to predict students’ academic performance as accurately as possible by leveraging advanced computational techniques and utilizing academic and non-academic student data. This research aims to develop a model that accurately identifies students with high potential for academic risk while explaining the contributing factors to this phenomenon in the Faculty of Vocational Studies, Institut Teknologi Sepuluh Nopember (ITS). The prediction model is constructed using the light gradient boosting machine (LightGBM) method and is subsequently interpreted using the Shapley additive explanations (SHAP) value. Additionally, an oversampling method, based on synthetic minority oversampling technique (SMOTE), is implemented to address imbalances in the dataset. The proposed approach achieves 96% and 97% accuracy and specificity rates, respectively. Analysis based on SHAP values reveals that extracurricular activities, choice of major, smoking habit, gender, and friendship circle are among the top five factors impacting students’ academic risk.
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.
Co-Authors Ananda, Lovinki Fitra Anjani, Diandra Soja Babgei, Bassam Destri Susilaningrum Dwi Endah Kusrini Habibi, Mochammad Reza Hibatullah, Fausania Mukti Ratna Dewi Putra, Fahmi Maulutfi Dwi