Garuda - Garba Rujukan Digital

Applying Data Mining Techniques to Investigate the Impact of Smoking Prevalence on Life Expectancy in Indonesia: Insights from Random Forest Models Dalimunthe, Abdul Hakim; Samsir, Samsir; Subagio, Selamat; Siagian, Taufiqqurrahman Nur; Watrianthos, Ronal
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5201

This study investigates the relationship between smoking prevalence and life expectancy in Indonesian provinces using data mining techniques, specifically focusing on the application of random forests. The primary objective is to quantify the potential impact of reducing smoking prevalence on population health outcomes. Data were sourced from the Indonesian Central Bureau of Statistics, which included life expectancy and smoking prevalence data from 2021 to 2023. The methodology involved aggregating life expectancy data from the district to the province level, followed by the application of a random forest model to predict life expectancy based on smoking prevalence and other socioeconomic indicators. Key findings indicate a weak to moderate negative correlation between smoking prevalence and life expectancy, with higher smoking rates associated with lower life expectancies. Predictive modeling suggests that a reduction in smoking prevalence could lead to significant improvements in life expectancy. For example, a 5% reduction in smoking rates could increase the average life expectancy by approximately 0.3 years, while a 15% reduction could result in an increase of about 0.9 years by 2025. These results underscore the detrimental impact of smoking on population health and highlight the importance of effective tobacco control measures. The predictive models developed in this study provide valuable information for policymakers, enabling targeted public health strategies and resource allocation. This research contributes to the field by demonstrating the utility of data mining techniques in public health and offering a comprehensive analysis of the relationship between smoking and life expectancy in Indonesia. The findings advocate for the urgent implementation of smoking cessation programs to enhance life expectancy and improve public health outcomes

A Text Mining Approach to Analyzing the Role of Negative Sentiment Words in News Articles on Suicide and Related Incidents Subagio, Selamat; Samsir, Samsir; Dalimunthe, Abdul Hakim; Ronal Watrianthos
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1745

This study examines the role of negative sentiment words in news media coverage of suicide and related incidents through analysis of 1,515 news articles published between 2019 and 2024. Using advanced text mining techniques and sentiment analysis, we investigated patterns in emotional language use and their impact on public discourse. The research revealed frequent usage of negative sentiment words such as "crisis" (256 occurrences), "despair" (214 occurrences), and "death" (189 occurrences), which significantly influenced the emotional framing of these sensitive topics. Statistical analysis showed strong correlations between negative sentiment words and mental health-related terms (correlation value 0.75), indicating consistent patterns in media narrative construction. Temporal analysis identified a notable increase in negative sentiment during the COVID-19 pandemic (2020-2021), followed by a shift toward more solution-focused coverage in 2022-2024. The findings suggest that while negative sentiment words are inherent in covering suicide-related topics, their use can be balanced with solution-oriented language to promote more responsible reporting. This research contributes to understanding how emotional language shapes public discourse on mental health crises and provides insights for developing more effective guidelines for responsible journalism.

PENERAPAN METODE UCD (USER CENTERED DESIGN) PADA E-COMMERCE CV KESWA CREATIVE PRODUCTION BERBASIS WEB Anwar, Khoirul; Subagio, Selamat; Rambe, Shopiah Anggraini
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 1 (2025): April 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i1.1541

Keswa Creative Production merupakan suatu usaha yang bergerak di bidang penjualan peralatan listrik. Toko ini mengharapkan untuk memperoleh keuntungan yang sebesar-besarnya tanpa batasan waktu dan tempat, sehingga para pelanggan dapat berinteraksi dan berperan aktif dalam proses jual beli tanpa dibatasi oleh waktu dan tempat. Permasalahan yang sering terjadi di Keswa Creative Production adalah sulitnya mengetahui stok barang yang tersisa karena pencatatan masih dilakukan secara manual, sehingga produk hanya disimpan di gudang. Berdasarkan permasalahan yang terjadi, maka diperlukan suatu sistem yang dapat memudahkan Keswa Creative Production dalam memaksimalkan penjualannya. Sistem yang diusulkan didasarkan pada permasalahan yang ada pada proses bisnis saat ini. Dengan memanfaatkan E-Commerce pada sistem yang baru diharapkan kelemahan-kelemahan yang ada sebelumnya dapat diatasi sehingga dapat menghasilkan informasi yang akurat. Pada penelitian ini penulis melakukan analisis model bisnis dengan menggunakan Website. Hasil akhir dari penelitian ini adalah sebuah prototipe E-Commerce yang dapat membantu Keswa Creative Production dalam memaksimalkan penjualan produk

Sistem Pakar Diagnosa Penyakit DBD Pasien Puskesmas Tanjung Sarang Elang Menggunakan Metode Certainty Factor Ainun, Annisa; Samsir, Samsir; Subagio, Selamat
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.118-126

Health is valuable for humans, because anyone can experience health problems. Children are very susceptible to germs and lack of sensitivity to symptoms of a disease is a fear for parents. Parents are lay people who do not understand health. If a child has a health problem, they prefer to trust it to experts or specialist doctors who already know more about health, regardless of whether the problem is still at a low or chronic level. With the convenience of having experts or specialist doctors, sometimes there are also disadvantages such as limited working hours (practice) and many patients so they have to wait in line. In the rainy season, almost no area in Indonesia is free from dengue fever attacks. Research shows that dengue fever has been found in all provinces of Indonesia. Two hundred cities reported an Extraordinary Event (KLB). The incidence rate increased from 0.005 per 100,000 people in 1968 and drastically jumped to 627 per 100,000 people. An Expert System is a computer system designed to imitate the problem-solving abilities of an expert in a particular field using the knowledge and analysis methods that have been defined by the expert. The results obtained in using this system are the information system for DHF patients at the Tanjung Sarang Elang Health Center can be completed easily without requiring a lot of energy and time, does not require many files if more than one DHF disease data is needed and the data produced is free from errors. Thus it is expected to be very helpful in diagnosing DHF patients at the Tanjung Sarang Elang Health Center. Macromedia Dreamweaver is an HTML editor for designing, writing code (php) and as a program for processing and building websites, web pages and other web applications.

Sistem Pakar Deteksi Penyakit Culvularia Dengan Metode Forward Chaining Panjaitan, Indra Syahputra; Subagio, Selamat; Samsir, Samsir
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.106-117

Oil palm diseases generally attack leaves during the seedling phase and can cause major losses if not handled properly. Symptoms that appear include yellow spots that then develop into necrosis, inhibiting seedling growth, and increasing the death rate of plants that during the entire life cycle of plants, from seeds, nurseries, planting, to storage of harvests, plants are never free from disturbances that can inhibit their growth and development. These disturbances can be in the form of pest attacks, infections of disease-causing pathogens, competition with weeds, or unfavorable environmental factors. A researcher from India estimated that crop yield losses were caused by weeds of around 33%, disease-causing pathogens of around 26%, pest attacks of around 7%, rats of around 6%, and damage during storage of around 7%. In other words, biological disturbances such as weeds, pathogens, and pests, as well as abiotic factors such as storage conditions, can cause significant decreases in yields if not managed properly. An expert system is a system that attempts to adopt human knowledge into a computer so that the computer can solve problems as is usually done by experts. While an expert system is a branch of artificial intelligence that uses the special knowledge possessed by an expert to solve certain problems. Forward Chaining is a method of data reasoning that starts from known facts and uses rules (IF-THEN) to reach a conclusion or solution. With this application, it is expected that the community can carry out early treatment and prevention of the disease independently, so as not to worsen the disease in the plant. The expert system is also equipped with a Microsoft Visual Studio solution, a complete application created by Microsoft. In Visual Studio, there are several programming languages that are often used, such as Visual Basic 2008. Visual Studio 2008 Express Edition is very popular as a Windows Application Development Tool.

Expert System for Diagnosing Eye Disorders (Refractive Errors) Using the Certainty Factor (CF) Method at Tanjung Sarang Elang Community Health Center Subagio, Selamat; Harahap, Fauji; Samsir, Samsir
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

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

The medical and technology fields are rapidly advancing, leading many people to use computers to help diagnose, prevent, and treat human diseases. One major issue in the medical world is the imbalance between the number of patients and doctors. Additionally, most people lack medical training, so when experiencing symptoms of a disease, it is often difficult to immediately know the correct steps to take. Eye diseases vary in severity, ranging from mild to severe. One common eye disorder affecting many people is refractive error, which generally falls into two categories: hyperopia (farsightedness) and myopia (nearsightedness). Early detection of symptoms related to refractive errors requires accurate and prompt diagnosis. Therefore, with the rapid development of technology, it is essential to develop systems capable of early detection of eye diseases, especially refractive errors, by using technology that mimics human expert capabilities, such as expert systems. This expert system integrates expert knowledge within two main environments: the development environment and the consultation environment, helping the community diagnose diseases more easily and efficiently. For example, the use of the Certainty Factor method in expert systems enables the calculation of diagnostic certainty levels based on the combination of symptoms reported by patients and expert knowledge, achieving a confidence level of up to 96.7%. This demonstrates that expert system technology can be a valuable tool in addressing the imbalance between patients and doctors while improving access to faster and more accurate diagnoses. To build such systems, Microsoft Visual Studio .NET provides a complete set of tools for developing ASP.NET web applications, XML Web Services, desktop applications, and mobile applications. Within Visual Studio, .NET programming languages such as Visual Basic, Visual C++, Visual C# (CSharp), and Visual J# (JSharp) are used in a unified integrated development environment (IDE), enabling developers to efficiently share tools and resources to create reliable and user-friendly expert system applications. The system was developed and tested using symptom data from 40 patients collected at the Tanjung Sarang Elang Community Health Center. The testing showed a diagnostic accuracy of up to 96.7% in detecting symptoms of both hyperopia and myopia.

Title

Found 6 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 6 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 6 Documents
Search