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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Intelligent Decision Support System (IDSS) LENTERAL: Learning and Teaching Journal Jurnal Minfo Polgan (JMP) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Pengabdian West Science Journal Of Computer Science And Technology Jurnal ICT : Information and Communication Technologies
Izhari, Fahmi
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences

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Journal : Journal of Intelligent Decision Support System (IDSS)

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Exploratory Data Analysis (EDA) methods for healthcare classification Dhany, Hanna Willa; Sutarman, Sutarman; Izhari, Fahmi
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.165

Abstract

The recovery and rehabilitation of individuals, helping them regain their physical and mental well-being. Healthcare offers comfort and relief for patients with serious or terminal illnesses, focusing on improving their quality of life and managing symptoms. It plays a role in educating individuals about health risks, disease prevention, and healthy lifestyles. Healthcare contributes to medical research and innovation, leading to advancements in treatments, medications, and medical technologies. Here are some common results and findings that can be obtained through EDA in healthcare data about EDA can reveal the age, gender, and other demographic information of patients. This information is essential for understanding the population served by a healthcare facility. EDA can help identify the prevalence of different diseases or conditions within a patient population. This can assist in resource allocation and healthcare planning. EDA can show how disease rates or healthcare utilization patterns change over time. For example, it can highlight seasonal variations in the incidence of certain diseases. EDA can be used to analyze healthcare data geospatially to identify regions with higher disease prevalence, helping in targeted interventions.
Optimizing Urban Traffic Management Through Advanced Machine Learning: A Comprehensive Study Izhari, Fahmi; Dhany, Hanna Willa
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.167

Abstract

Urban transport networks are vital components of modern societies, influencing efficiency and safety. This research explores the potential of traffic data as a crucial information source for forecasting and interpreting traffic problems. Using advanced data processing, statistical analysis, and classification algorithms, the study aims to identify and forecast traffic scenarios. With an interdisciplinary approach integrating computer science, statistics, and transportation engineering, the research emphasizes a holistic perspective on traffic concerns. The study involves outlier detection, label encoding, and cutting-edge technologies like GridSearchCV and ensemble modeling. Inspired by flash flood susceptibility research, machine learning models, particularly LightGBM and CatBoost, are applied to predict traffic situations. DecisionTreeClassifier and CatBoostClassifier emerge as top performers, achieving remarkable accuracies. The evaluation goes beyond accuracy, emphasizing the nuanced understanding of algorithm strengths and limitations for effective urban transportation network management
Co-Authors Ahmad Akbar, Ahmad Amalia, Najwa Aminuddin Indra Permana Andysah Putera Utama Siahaan ARMANDA, MUHAMMAD RIZKY Aulia, Popi Dhany, Hanna Willa Fahriza, Affan Setya Fazira, Chairiani Indy Ginting, Andhika Pratama Ika Devi Perwitasari Kevin kevin Lubis, Riski Ananda Meiliana Meiliana P, Enda Ribka Meganta Prasetia, Yoga Eka Pratama, Muhammad Mariansyah Pratama, Zahari Gilang Rafif, Muhammad Akmal Ricky Ramadhan Harahap Saragih, Muhammad Davy Anggara Simbolon, Fikri Zuhaili Siregar, Aulia Sucitra Dewi Sitorus, Zulham Sutarman Sutarman