Pengaruh Loneliness terhadap Problematic Internet Use pada Mahasiswa di Kota Bandung
Abstract
Abstract. Loneliness is one of the most common problems that students face. In reducing these problems, the use of the internet is one way that can be done by students. However, the internet has negative benefits if its use becomes problematic and has a negative impact on life. This is called problematic internet use. The purpose of this study was to analyze the effect of loneliness on problematic internet use in strata one students in Bandung. This study uses a quantitative approach to the design of causality to determine cause and effect. The research sample consisted of 230 students in Bandung who were selected by utilizing accidental sampling technique. The measurement tool used is UCLA Loneliness Scale Version 3 compiled by Russell (1996) and adapted by Hudiyana et al. (2021) and Generalized Problematic Internet Use Scale 2 (GPIUS2) developed by Caplan (2010) and adapted by Sokang (2019). The results showed that the majority of students had a moderate level of loneliness (75.2%) and a moderate level of problematic internet use (58.7%). Regression analysis proved that loneliness has a significant positive effect on problematic internet use (t = 0.000, p-value < 0.05), with a contribution of 13.2%. So it can be interpreted if loneliness increases, then problematic internet use will increase. Conversely, if loneliness decreases, then problematic internet use will decrease.
Abstrak. Loneliness merupakan salah satu masalah umum yang dapat terjadi pada mahasiswa. Dalam mengurangi masalah tersebut, penggunaan internet merupakan salah satu cara yang dapat dilakukan oleh mahasiswa. Namun, internet memiliki manfaat negatif jika penggunaannya menjadi bermasalah dan menimbulkan dampak negatif bagi kehidupan. Masalah ini disebut dengan problematic internet use. Tujuan penelitian ini untuk menganalisis pengaruh loneliness terhadap problematic internet use pada mahasiswa strata satu di Kota Bandung. Penelitian ini menggunakan pendekatan kuantitatif dengan desain kausalitas untuk mengetahui sebab-akibat. Sampel penelitian terdiri dari 230 mahasiswa di Kota Bandung yang dipilih dengan memanfaatkan teknik accidental sampling. Alat ukur yang digunakan adalah UCLA Loneliness Scale Version 3 yang disusun oleh Russell (1996) dan diadaptasi oleh Hudiyana et al. (2021) dan Generalized Problematic Internet Use Scale 2 (GPIUS2) yang dikembangkan oleh Caplan (2010) dan diadaptasi oleh Sokang (2019). Hasil penelitian menunjukkan mayoritas mahasiswa memiliki tingkat loneliness sedang (75.2%) dan tingkat problematic internet use sedang (58.7%). Analisis regresi membuktikan bahwa loneliness memiliki pengaruh positif yang signifikan terhadap problematic internet use (t = 0.000, p-value < 0.05), dengan kontribusi sebesar 13.2%. Maka dapat diartikan jika loneliness mengalami peningkatan, maka problematic internet use akan meningkat. Sebaliknya, jika loneliness mengalami penurunan, maka problematic internet use akan menurun.
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