Kajian Ilmiah dan Deteksi Adiksi Internet dan Media Sosial di Indonesia Menggunakan XGBoost

Rismala, Rita; Novamizanti, Ledya; Ramadhani, Kurniawan Nur; Rohmah, Yuyun Siti; Parjuangan, Sabam; Mahayana, Dimitri

doi:10.26418/jp.v7i1.43606

Cited by 3 publications

(2 citation statements)

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“…XGBoost uses the same gradient enhancements as the Gradient Boosting Machine (GBM), but with slight improvements to the regularization objective that reduce model complexity. [9]…”

Section: 𝛾 = ∑ 𝑓𝑘(𝑥𝑖) 𝑓𝑘 ∈ 𝐹 𝐾 𝑘=1mentioning

confidence: 99%

Application of Classification Algorithm for Sales Prediction

Permana

Rosadi²,

Nikki³

2022

teknokom

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Increasing sales results is a desired target for all companies both at home and abroad. The company has a wide variety of products to offer. This paper (to fulfill a Business Intelligence course assignment) is the result of an experiment from data (keaggle) about consumer demand for products during the 2013-2015 period, then based on this data we try to predict to classify product sales, in order to make it easier for companies to classification for sales predictions. To find out the sales of the best-selling products, data mining classification techniques are used, namely XGBoost, Decision Tree, Random Forest, Linear Regression, and Nave Bayes. Based on the test results of the five classification techniques, the XGBoost model is the best with the data training value producing an RMSE value of 0.68% and data testing of 0.79%. This method is also better than the results of previous studies.

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“…XGBoost uses the same gradient enhancements as the Gradient Boosting Machine (GBM), but with slight improvements to the regularization objective that reduce model complexity. [9]…”

Section: 𝛾 = ∑ 𝑓𝑘(𝑥𝑖) 𝑓𝑘 ∈ 𝐹 𝐾 𝑘=1mentioning

confidence: 99%

Application of Classification Algorithm for Sales Prediction

Permana

Rosadi²,

Nikki³

2022

teknokom

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“…Until now, there have been disagreements about whether someone is addicted based only on the length of time spent on social media or the internet. Some researchers recommend safe internet usage limits, which are no more than 8 hours [33], 6 hours [12], and 2 hours [34].…”

mentioning

confidence: 99%

Stress and Internet Addiction in College Students During the COVID-19 Pandemic

Aziz

Sa'id

2022

KSS

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The COVID-19 pandemic has affected many facets of life. The rising usage of the internet, particularly social media platforms, is one of them. Individuals who use the internet more frequently may develop an internet addiction. This study aimed to investigate the relationship between stress and internet addiction in college students. This study utilized a survey-based correlational quantitative approach. The sample consisted of 81 students from the State University of Malang. The instruments utilized in this study were the Perceived Stress Scale-10 modified for COVID-19 to measure stress related to the COVID-19 pandemic, and the Internet Addiction Test to measure internet addiction. Data were analyzed using product moment correlation techniques. The study’s findings revealed a substantial positive relationship between stress from the COVID-19 pandemic and internet addiction in college students (r = 0.333; p = 0.002). This implies that the higher the stress level related to the COVID-19 pandemic experienced by an individual, the higher the tendency for internet addiction. Keywords: stress, internet addiction, COVID-19 pandemic, college students

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Pengaruh Kelekatan Remaja-Orangtua, Harga Diri, Dan Kontrol Diri Terhadap Penggunaan Internet Bermasalah Pada Remaja

Zakiyyah¹,

Latifah²

2022

Jur. Ilm. Kel. & Kons.

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Perkembangan teknologi, termasuk internet mengalami kemajuan yang pesat. Namun, keberadaan internet dapat berdampak positif dan negatif ketika penggunaannya tidak tepat, atau disebut penggunaan internet bermasalah. Penelitian ini bertujuan untuk menganalisis pengaruh langsung dan tidak langsung kelekatan remaja-orang tua, harga diri, dan kontrol diri terhadap penggunaan internet bermasalah. Penelitian ini melibatkan sebanyak 250 remaja di Kabupaten Bogor. Kuesioner yang digunakan dalam penelitian ini adalah Adolescent Attachment Questionnaire (AAQ), Rosenberg Self-Esteem Scale (RSES), kontrol diri singkat versi Indonesia (operasionalisasi De Ridder), dan Generalized Problematic Internet Use Scale 2 (GPIUS 2). Analisis data menggunakan uji deskriptif dan Structural equation modeling (SEM) menggunakan smartPLS. Penelitian ini hanya menemukan satu variabel yang berpengaruh langsung terhadap penggunaan internet bermasalah yaitu kontrol diri dengan pengaruh negatif signifikan. Penelitian ini menemukan kelekatan remaja-orang tua berpengaruh langsung positif signifikan terhadap harga diri dan kontrol diri, sedangkan harga diri berpengaruh langsung positif signifikan terhadap kontrol diri. Hasil penelitian juga menunjukkan terdapat pengaruh tidak langsung positif signifikan dari kelekatan remaja-orang tua terhadap kontrol diri. Kelekatan remaja-orang tua dan harga diri berpengaruh tidak langsung negatif secara signifikan terhadap penggunaan internet bermasalah.Kata kunci: harga diri, kelekatan remaja-orang tua, kontrol diri, penggunaan internet bermasalah, remaja

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Kajian Ilmiah dan Deteksi Adiksi Internet dan Media Sosial di Indonesia Menggunakan XGBoost

Cited by 3 publications

References 0 publications

Application of Classification Algorithm for Sales Prediction

Application of Classification Algorithm for Sales Prediction

Stress and Internet Addiction in College Students During the COVID-19 Pandemic

Pengaruh Kelekatan Remaja-Orangtua, Harga Diri, Dan Kontrol Diri Terhadap Penggunaan Internet Bermasalah Pada Remaja

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