Putri, Dwinda Mariska
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Mengukur kualitas liga sepakbola melalui lateralitas kaki pemain: Sebuah pendekatan data analitik Silitonga, Dicky Januarizky; Adinegara, Muhammad Andi Yudha Cahya; Putri, Dwinda Mariska
Journal of Sport Science and Education Vol 8 No 2 (2023)
Publisher : Faculty of Sport and Health Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jossae.v8n2.p103-112

Abstract

The ability to use both sides of feet in association football, or so-called soccer in some countries, is highly valued, and therefore professional athletes rigorously train their non-dominant foot to perform effectively on the pitch. However, a subject that relates that players’ laterality aspect to the overall quality of the league of a given country has not yet been widely explored. This paper discusses the subject through a data analytics approach, leveraging the abundance of publicly available football datasets to describe interesting phenomena through data visualizations. In the present study, the foot laterality measure is represented by the percentage of left-footed scored goals and league’s overall quality by the market values of players. Results show that in general, leagues with higher market values have higher rates of left-footed goals. The findings in this work agree with those in past research conducted with other methods, hence confirming the validity of data analytics based on the crowdsourced football data. This research intends to emphasize the potential of data science in sport sector and motivate the football professionals to use big data to fine-tune their physical training methods and sport psychology approaches.
Diversity, Vegetation Structure, Estimated Biomass and Carbon Stock in The Site of Limboto Lake of Gorontalo Regency Rahim, Sukirman; Baderan, Dewi Wahyuni K; Arfa, Bella Saskia; Angio, Melisnawati H; Hariri, Muhammad Rifqi; Putri, Dwinda Mariska
Bioeksperimen: Jurnal Penelitian Biologi Vol 9, No 2: September 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bioeksperimen.v9i2.23010

Abstract

The development of Limboto Lake  Site as the pilot area of Gorontalo Geopark is one step  in rescuing the lake. This research aims to analyzed  the vegetation structure, estimate biomass, and assess the carbon stock value of the vegetatio at the Limboto Lake site. This study employed a purposive sampling method. Important Value Index, a measure used to evaluate plant vegetation structure, was calculated based on Realtive Density, Relative Dominance, and Relative Frequency values. Biomass estimation and carbon stock assessment were conducted using allometric equations. The study’s finding showed that the vegetation surrounding Soekarno's landing area exhibited the highest IVI (sawlogs) scores for Swietenia mahagoni tree at 82.86%, Leucaena leucocephala saplings at 79.56%, and Manihot esculenta seedlings at 46.33%. Leucaena leucocephala consistently achieved the highest IVI score within the Limboto Lake area with a score as high as 76.90%, followed by Leucaena leucocephala on the sapling level with a score as high as 70.03%, and Nauclea orientalis on the seedling level with a score as high as 53.06%. Swietenia mahagoni, Samanea saman, and Leucaena leucocephala are three species with stems that predominate at the sawlog level and sapling, and these stems have high carbon absorption values.