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All Journal International Journal Of Science, Technology & Management (IJSTM) The Indonesian Journal of Computer Science
Sunardi Oetama, Raymond
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : International Journal Of Science, Technology

 1 
Road Safety Awareness: Australian Road Crash Case Study Jessica, Jessica; Sunardi Oetama, Raymond
International Journal of Science, Technology & Management Vol. 4 No. 5 (2023): September 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i5.924

Abstract

Road transportation accidents are a significant public health and safety issue worldwide. In Australia, regarding transport-related deaths, the age-standardized rate was higher in one specific year compared to the preceding year. This study aims to make visualization of crash data in Australia play a crucial role in understanding the country's current state of road safety and developing strategies to improve it. Data visualization techniques are essential in understanding and addressing road safety in Australia. New South Wales has the highest number of accidents in Australia, with 16,293 cases. Accidents in New South Wales are projected to decline gradually over the next three years. The peak time for accidents is 3 PM on weekdays, with males being more involved than females. Drivers are the most involved road users in accidents. Implementing targeted road safety initiatives, gender-specific awareness campaigns, and driver safety programs can help reduce accidents in New South Wales and create a safer environment for all road users. By analyzing accident data visually, patterns and trends can be identified, leading to targeted interventions and improved safety measures to reduce the number of accidents and fatalities on the roads.
Visualization and Forecast for Pollution Death Threats in ASEAN Axel Wijaya, Kimi; Sunardi Oetama, Raymond
International Journal of Science, Technology & Management Vol. 4 No. 6 (2023): November 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i6.970

Abstract

Air pollution is a serious problem experienced by all countries because it can cause many health problems and even death. The situation in countries of the Association of Southeast Asian Nations or ASEAN is the high air pollution-related mortality rates, especially in countries like Laos, Myanmar, and Cambodia, which face elevated risks due to poor air quality. Raising public awareness about air pollution requires a concerted effort involving various strategies and channels. The paper provides research findings on air pollution, including data on air pollution-related deaths, regional variations, and forecasting using Tableau software. It underscores the need to address air pollution challenges, particularly in ASEAN, to protect public health. Due to industrialization, ASEAN countries are grouped into high and low mortality clusters and ongoing air pollution challenges in Asia. Continued efforts are needed, especially in Myanmar, Cambodia, the Philippines, and Laos.
Health Maintenance In The New Normal: An Analysis Of University Students' Awareness Using Clustering And Naïve Bayes Tanadi, Fiona; Sunardi Oetama, Raymond
International Journal of Science, Technology & Management Vol. 4 No. 3 (2023): May 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i3.830

Abstract

The new normal has posed significant challenges for students in maintaining their health. To address this issue, this study aimed to examine the awareness of university students in maintaining their health during this period using clustering and Naïve Bayes methods. The results of the study revealed two distinct clusters, "Aware" and "Not Aware," indicating that Indonesian students have varying levels of awareness regarding health precautions during the new normal. Most students are in the "Aware" cluster, suggesting a positive trend in health-conscious behavior among students in Indonesia. The Naive Bayes method was used to validate the cluster analysis, which resulted in an overall accuracy of approximately 96.25%. The study also found that the students are generally trying to maintain their health during the new normal, with most scoring between moderate and good. However, there are differences in the levels of effort put in by different age groups, with those aged 22 scoring lower. Moreover, students are generally making a good effort to maintain their health in public places during the new normal, but again, those aged 22 had the lowest scores. In terms of healthy food consumption, most students across all age groups scored a level of moderate consumption. The purpose of these findings is to inform policymakers and healthcare providers to develop sustainable programs for improving health awareness among students and addressing the challenges presented by the new normal.
Comparative Analysis of Reverse Martingale And Cumulative Win Strategies Using Ichimoku Kinko Hyo Indicator Wendy, Vincent; Sunardi Oetama, Raymond
International Journal of Science, Technology & Management Vol. 4 No. 4 (2023): July 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i4.874

Abstract

Given the dearth of prior research on the practical implementation of money management strategies in the foreign exchange market, making it arduous to ascertain profitable money management comparisons, this study places its focus on the amalgamation of money management strategies and technical indicators. The research specifically explores the utilization of two money management strategies, namely reverse martingale, and cumulative win strategy, in conjunction with Ichimoku Kinko Hyo serving as the chosen technical indicator. The primary aim of this research endeavor is to identify the most lucrative money management combination within a three-year timeframe. The study centers on the EURUSD currency pair, employing the H1 timeframe for analysis. The research methodology encompasses four essential stages: data collection, data processing, strategy testing, and result analysis. Subsequently, the acquired EURUSD data will undergo amalgamation utilizing the One-Way ANOVA method to determine the presence of statistically significant disparities between the two combinations. The outcomes of this investigation underscore the supremacy of the cumulative win strategy and Ichimoku Kinko Hyo combination, exhibiting a remarkable Return on Investment (ROI) surpassing alternative combinations, soaring to an impressive figure exceeding 2860%.
Co-Authors Ady Sanjaya, Samuel Axel Wijaya, Kimi Fernandi Wijaya, Santo Jansen Wiratama Jessica Jessica Johan, Fanny Sony Eko Nugroho, Antonius Tanadi, Fiona Wendy, Vincent