Muhammad Rizal H’s research while affiliated with University of Indonesia and other places

This study discusses the implementation of e-Government in Pangkep Regency with the aim of improving public services, especially in land asset management. This research responds to requests from the Department of Housing, Settlement Areas and Land (Disperkimtan) by addressing the challenges of complex administrative procedures and increasing public awareness of land asset management. The goal is to design a web-based Land Asset Mapping Information System using WebGIS to simplify administrative processes and increase transparency. This research applies the Rapid Application Development (RAD) method. The results show an effective user interface (UI) in land certificate creation as well as smooth functions in the login and land acquisition process. This system is able to handle user loads well, which is reflected in the user satisfaction rate of 76.4%.

Sistem Pendukung Keputusan (SPK) atau Decision Support System (DSS) adalah sistem informasi interaktif yang dirancang untuk membantu pembuat keputusan dalam menggunakan data dan model untuk memecahkan masalah yang tidak terstruktur atau semi-terstruktur. SPK menggabungkan sumber daya manusia dan komputer untuk menyediakan analisis data, peramalan, dan dukungan dalam pengambilan keputusan. Sistem ini sangat berguna dalam kondisi di mana keputusan tidak dapat dibuat secara otomatis, membutuhkan penilaian manusia, pengetahuan, dan keahlian. Buku ini membahas : Bab 1 Konsep Sistem Pendukung Keputusan Bab 2 Jenis Dan Proses Pengambilan Keputusan Bab 3 Metode Fuzzy Logic Bab 4 Metode Neural Network Bab 5 Metode Machine Learning Bab 6 Metode Deep Learning Bab 7 Metode Simple Additive Weighting (SAW) Bab 8 Analytical Hierarchy Process (AHP) Bab 9 Metode Technique For Order Preference By Similarity To Ideal Solution (Topsis) Bab 10 Metode Simple Multi Attribute Rating Technique (Smart) Bab 11 Metode Gray Absolute Decesion Analysis (GADA)

Infectious diseases are diseases that can be transmitted through various media. Based on the results of research that has been conducted at several Health Center in Gowa Regency, it is found that from 2020 to 2022, Health Center of Bontomarannu is one of the Health Center in Gowa Regency that handles many cases of infectious diseases, namely 212 cases of tuberculosis, 224 cases of dengue fever, and 427 cases of typhoid fever. This makes it difficult for the Health Center to classify what factors cause the increase in these diseases every day for one reason, namely the limitations of medical personnel to manually detect the indicators that cause the emergence of these diseases through medical record data. Based on data obtained through questionnaires given to patients of the Bontomarannu Health Center, there are several variables associated with infectious diseases. Therefore, this study aims to visualize the results of clustering infectious disease data (tuberculosis, dengue fever, and typhoid) per village in Gowa Regency in the form of WebGIS. The method used is K-means clustering which will be optimized using the Particle Swarm Optimization (PSO) algorithm to obtain better results. Moreover in the WebGIS visualization section, the frontend will be made using NextJS, the backend using Flask Py-thon, and for DBMS using SQLAlchemy. This WebGIS visualization will display cluster information for each village in Gowa Regency. Through quantitative analysis and clustering, the study aims to visualize the data and identify patterns and trends associated with infectious diseases in Gowa Regency, ultimately aiding in better decision-making and resource allocation for disease prevention and control.

Penelitian ini bertujuan untuk merancang aplikasi penjualan perlengkapan pernikahan dengan fitur chatbot dengan penerapan TF-IDF dan cosine similarity untuk meningkatkan akurasi sistem pendeteksi tanya jawab pada chatbot. Data ini diperoleh melalui observasi dan wawancara. Metode pengujian sistem menggunakan blackbox dan metode Frequency-Inverse Document Frequency (F-IDF). Hasil penelitian menunjukkan bahwa aplikasi untuk alat penjualan perlengkapan pernikahan dengan fitur chatbot menggunakan metode TF-IDF dan cosine similarity menampilkan hasil nilai dengan akurasi yang baik. Pengujian sistem menggunakan blackbox serta pengujian penerapan chatbot menggunakan pengujian validasi pada menggunakan recall dan precision menghasilkan nilai 90% dari hasil metode TF-IDF dan cosine similarity untuk akurasi tanya jawab chatbot.