Regression Tree Role for Interpret Monetizing of Game Live Streaming

Ambarsari, Erlin Windia; Avrizal, Reza; Sirait, Erlando Doni; Dwiasnati, Saruni; Rahim, Robbi

doi:10.1088/1742-6596/1424/1/012014

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…The findings show that the marketing strategy of online game streamers in streaming platform selection is about selecting a streaming platform with monetization capabilities. This is similar to the findings of Ambarsari et al (2019), which stated that online game streamers play on a certain streaming platform and get paid for monetizing. In a live stream, different conditions must be met to fulfill the monetization by the online game streamers in a streaming platform, such as the duration of games and the number of followers where they receive a payment for every target they meet.…”

Section: Discussionsupporting

confidence: 88%

Personal Marketing Strategies of Online Game Streamers

Mendoza,

Tadeo,

Dela Cruz

et al. 2023

IJCSR

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Purpose -The study aimed to evaluate the personal marketing strategies of online game streamers in the selected areas of Cavite Province, Philippines.Method -This study utilized a descriptive research design to describe the variables understudy and a correlational research design to identify the significant relationship between the demographic profile of the respondents and the perceived effectiveness of 1791 personal marketing strategies. A purposive sampling technique was utilized to collect responses from 80 online game streamers.Results -The study found that the level of perceived effectiveness of the personal marketing strategies of online game streamers was highly effective. There was no significant relationship between the respondents' demographic profile and the level of perceived effectiveness of personal marketing strategies. Conclusion -The researchers found that personal marketing strategies were employed and highly effective upon their respective implementation.Recommendations -The researchers recommend that online game streamers must first determine their needs in terms of their resources, capital or income, and preferences before deciding on what personal marketing strategies they will apply in the streams.Research Implications -The study looks forward to enhancing online gaming streamers' personal marketing strategies by incorporating localized strategies that could address their respective environments to have more targeted, specific, and focused personal marketing strategies.

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Section: Discussionsupporting

confidence: 88%

Personal Marketing Strategies of Online Game Streamers

Mendoza,

Tadeo,

Dela Cruz

et al. 2023

IJCSR

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“…Perbedaan utamanya ada pada penggunaan Standard Deviation Reduction (SDR) pada regresi, sementara information gain digunakan pada klasifikasi. Oleh karena itu, ada 3 formula dasar yang perlu diperhatikan saat menggunakan decision tree pada kasus regresi (lihat persamaan 1, 2, dan 3) [11], [12].…”

Section: Modellingunclassified

Komparasi dan Implementasi Algoritma Regresi Machine Learning untuk Prediksi Indeks Harga Saham Gabungan

Waluyo,

Kinasih,

Paramita

et al. 2024

JPIT

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Indeks Harga Saham Gabungan (IHSG) or Indonesia Composite Index (ICI) is part of the macro indicators of a country that describes the economic condition of a country. ICI is an interesting study to research since its existence will be able to show market sentiment regarding an event that occurred in a country. This research tries to predict the ICI in the future based on historical data. The dataset used in this research is publicly available in Yahoo Finance. The experiment is conducted by implementing some regression machine learning algorithms, such as Decision Tree, Random Forest, k-Nearest Neighbor (kNN), and Linear Regression. As a result, Decision Tree has the lowest MSE value compared to other methods: 1268.242. In this research, a website-based application prototype was also developed that can be used to view IHSG graphs and make future predictions, using the 4 (four) tested algorithms.

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“…Dalam menginterpretasikan penjualan, penelitian ini menggunakan pendekatan violin plot. Berbeda scatter plot [10] yang digunakan untuk mengamati korelasi antar dua variabel, violin plot untuk membandingkan distribusi data dari berbagai kategori. Berdasarkan penelitian [11], violin plot efektif untuk meta-analisis desain eksperimental kasus tunggal, dengan kelebihan utama yaitu menjaga informasi data mentah, menggambarkan data dari berbagai desain dalam satu grafik, dan membandingkan distribusi skor dari berbagai fase eksperimental.…”

Section: Pendahuluanunclassified

Pendekatan Violin Plot sebagai Pengenalan Pola untuk Interpretasi Data Penjualan Spare Part Komputer

Furqoni Yudhistira,

Erlin Windia Ambarsari,

Frieyadie

2023

jieee

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This study examines the use of visual modeling in understanding the sales patterns of computer spare parts at PT Prima Krida Solusindo. The use of violin plots serves as a method for data interpretation, focusing on the distribution of sales data to gain a deeper understanding of customer needs. This study involves 3893 samples with eight features being analyzed. Initial results show a broad variation in the sales of computer spare parts. For example, the highest unit sales occur in the first quarter, but the sales volume tends to be low. Opposite, sales in the second quarter tend to focus on purchases with a relatively similar volume. In addition, preferences for distribution channels, sales segmentation, sub-segmentation, and product types also vary in sales volume. While the violin plot aids in visualizing data distribution, this study also found that this method has limitations, such as category overlapping, that complicate interpretation. The inclusion of additional plots can facilitate a more detailed interpretation

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Regression Tree Role for Interpret Monetizing of Game Live Streaming

Cited by 6 publications

References 4 publications

Personal Marketing Strategies of Online Game Streamers

Personal Marketing Strategies of Online Game Streamers

Komparasi dan Implementasi Algoritma Regresi Machine Learning untuk Prediksi Indeks Harga Saham Gabungan

Pendekatan Violin Plot sebagai Pengenalan Pola untuk Interpretasi Data Penjualan Spare Part Komputer

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