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EXPLAINING CHILDREN ON YOUTUBE: THE CASE OF INDONESIAN SUBSCRIBER BEHAVIORAL INTENTION ON KIDZ YOUTUBE CHANNEL : Kajian Anak pada YouTube: Kasus Minat Subscriber Indonesia di Channel Youtube Kidz Simanjuntak, Megawati; Putri, Marietta Krisnaya Nandika; Yuliati, Lilik Noor; Muflikhati, Istiqlaliyah; Retnaningsih, Retnaningsih; Johan, Irni Rahmayani
Jurnal Ilmu Keluarga dan Konsumen Vol. 16 No. 2 (2023): JURNAL ILMU KELUARGA DAN KONSUMEN 16.2
Publisher : Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24156/jikk.2023.16.2.188

Abstract

Understanding children's behavior and intentions to subscribe to YouTube channels are important for production companies and parents. This study analyzed factors influencing children’s behavioral intention to subscribe to YouTube channels using UTAUT 2 model and SEM-PLS analysis. The samples were 100 kids aged 7 to 12 who live in the Greater Jakarta area. Data were collected through an online questionnaire. The results showed that habit and social influence significantly influenced children’s behavioral intention to use Kidz YouTube Channel. Children’s behavioral intention to use Kidz YouTube Channel significantly influenced children’s usage behavior. Moreover, children’s usage behavior significantly influenced their intention to subscribe to Kidz's YouTube Channel. The study indicated that children’s decision to subscribe to YouTube channels was simple and relied on their habits and social influence. Therefore, parents need to supervise children’s activities on YouTube. Meanwhile, the content creator company could optimize a routine schedule for uploading a new video based on selected themes and also needs to increase parents’ awareness of the safety of their program.
Optimizing Brain-Computer Interfaces for Methampetamine Use Disorder through Quantitative Electroencephalography (QEEG) and Transcranial Doppler Analysis: Article Review Caroline, Maria; Syahrul, Syahrul; Tugasworo, Dodik; Retnaningsih, Retnaningsih; Juswanto, Gerard
Jurnal Health Sains Vol. 5 No. 9 (2024): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v5i9.1372

Abstract

A Brain-Computer Interface (BCI) is a system that allows a person to control external devices using only their brain activity. It works by translating brain signals into commands that can be understood by a computer. Several lines of evidence demonstrated the deleterious effect of methamphetamine (MA) on neurological and psychological functions. The use of amphetamines, such as MA, is associated with cerebrovascular complications such as cerebrovascular accidents (CVA) ,hemorrhage, hypoxic damage and vasculitis. Interestingly, while changes to cerebral blood flow (CBF) in response to acute amphetamine exposure have been reported. Transcranial Color Doppler (TCCD) is a non-invasive medical imaging technique that uses ultrasound waves to measure blood flow velocity in the major arteries of the brain, specifically within the circle of Willis. The research paper you referenced explores the use of TCCD as a potential measurement modality for BCIs. Quantitative electroencephalogram (qEEG) is a powerful tool for understanding brain function qEEG can reveal specific brain wave patterns associated with drug addiction, potentially providing insights into the neurobiological mechanisms underlying cravings, withdrawal symptoms, and relapse risk in Methamphetamine User Disorder (MUD). There is growing research interest in using Transcranial dopller as a measurement modality for BCIs.Here are some of the key considerations for using Transcranial doppler in BCIs: Mental Tasks, signal processing and classification, accuracy and reliability. Transcranial doppler provides information about blood flow in specific arteries but lacks detailed spatial information about brain activity. These patterns could vary depending on the type of drug, the severity of addiction, and individual differences. Transcranial doppler in measuring middle cerebral artery (MCA) blood flow velocity parameters (peak systolic velocity (PSV) and mean flow velocity (MFV)). qEEG can help researchers investigate the complex interplay between addiction and other brain disorders, like depression or anxiety. Characteristic qEEG in drugs addiction Increased Theta (4-8 Hz) and delta (1-4 Hz) brain waves are often associated with sleep and relaxation. However, research has shown that individuals with drug addiction may have increased theta and delta activity, particularly in the frontal and temporal regions of the brain. Altered Beta (13-30 Hz) brain waves are generally associated with wakefulness, alertness, and cognitive processing. Studies have observed both increases and decreases in beta activity in individuals with drug addiction, depending on the type of drug, the stage of addiction, and the specific brain regions being examined. The results of this research have important practical implications for building an diagnostic and functional assement with a better understanding of an using technology.
Heterogeneity of Social Returns to Education Across Employees Education Levels in Indonesia Wahyuni, Ribut Nurul Tri; Retnaningsih, Retnaningsih; Yuliana, Lia
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 2 (2025): September 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i2.15782

Abstract

This study estimates the heterogeneity of agglomeration externalities across employees' education levels in Indonesia. This study uses the 2020-2024 microdata and the Instrumental Variable (IV) Heckman model with the historical population density and the number of universities as IVs. The result indicates that social returns to education from the local high-skill labor market, which is a part of agglomeration externalities, are positively significant and higher for high- and medium-skilled employees than for low-skilled employees. This finding demonstrates the efficacy of public education investments, especially Indonesian government policy that can enhance the quantity and quality of university graduates, thereby promoting the transfer of knowledge to all employees and eventually reducing wage inequality between regions.
Heterogeneity of Social Returns to Education Across Employees Education Levels in Indonesia Wahyuni, Ribut Nurul Tri; Retnaningsih, Retnaningsih; Yuliana, Lia
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 2 (2025): September 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i2.15782

Abstract

This study estimates the heterogeneity of agglomeration externalities across employees' education levels in Indonesia. This study uses the 2020-2024 microdata and the Instrumental Variable (IV) Heckman model with the historical population density and the number of universities as IVs. The result indicates that social returns to education from the local high-skill labor market, which is a part of agglomeration externalities, are positively significant and higher for high- and medium-skilled employees than for low-skilled employees. This finding demonstrates the efficacy of public education investments, especially Indonesian government policy that can enhance the quantity and quality of university graduates, thereby promoting the transfer of knowledge to all employees and eventually reducing wage inequality between regions.
Co-Authors Afina, Siti Agung, Locoporta Aisy, Rihadatul Al Mutanafisa, Tasneem Alfiasari Amalia Khairati Amin Husni Andhitara, Yovita Andhitara, Yovita Andhitara Ani Ruwani, Ani Anita Saufika Anjani, Gemala Ardhini, Rahmi Arifin Triyanto Arina Hayati Asep Taryana Budisulistyo, Trianggoro Caroline, Maria Daynuri, Daynuri Diah Retno Wahyuningrum Dini Aprilia Dodik Tugasworo Drajat Martianto Dwi Febryanto Endang Gumbira Sa’id Erni Hernawati Purwaningsih, Erni Hernawati Fadila Ramadini Febriantina Dewi Fibria Mustikarini, Fibria Firina Firina Firli Bramantyo, Dion Fitri Octaviana Fitria Handayani Hajijah, Rengganis Novyanti Hamdani, Faishol Handaru Tri Mulyono Hanisa Rahmina Fitriyana Hartono, Jimmy Eko Budi Hartoyo Hartoyo Irni Rahmayani Johan Istiqlaliyah Muflikhati Jaeri, Santoso Jethro Budiman, Jethro Junedi, Rahmat Juswanto, Gerard Kurnianto, Aditya Kurnianto, Aditya Kurnianto Lia Yuliana Lilik Noor Yuliati Martha Irene Kartasurya Megawati Simanjuntak Nana Rochana, Nana Nani Maharani Noni Widiawatie Nuraini Nuraini Pasmanasari, Elta Diah Priambada, Dody Purba, Jan Sudir Puspitawati, Arinta Putri, Ayulia Karisma Putri, Marietta Krisnaya Nandika Putri, Nadya Yona Eka Rahmawati, Dani Rahmayanti Rahmayanti Rahmi Parhati RIA ANGGRAINI Saiful Ridlo Satrioaji, Hari Wahono Sofro, Muchlis AU Achsan Udji Sri Anna Marliyati Suryadi Suryadi Suryawati, Herlina Syahrul Syahrul Tamad, Fatiha Sri Utami Tri Rahayu, Fitriani Tri Subekti Trisnaningtyas, Wenny Tsaniadi Prihastomo, Krisna Tugasworo, Dodik ` Tyas, Ayuning Ujang Sumarwan W.H, Nugrahaningsih Wahyuni, Ribut Nurul Tri Widaryanti, Widya Bella Yudiatma, Muh. Firman Yuridis, Melani Sukma