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Bridging the digital divide from the grassroots: The social and economic impact of RT/RW Net in Jabodetabek Urban Periphery Hendra Gilbert; Prio Utomo; Krist Ade Sudiyono
SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora Vol 12 No 1 (2026): February 2026
Publisher : LP2M Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/sosio.v12i1.21054

Abstract

Despite high internet penetration rates, the benefits of digitalization remain unevenly distributed in Indonesia’s densely populated urban areas. This study investigates RT/RW  Net, a community-driven internet network that has emerged as a grassroots response to the digital divide in Jabodetabek. While often viewed primarily through a legal or technical lens, the socio-economic implications of these networks remain under-explored. Using an interpretive phenomenological approach, this study analyzes data from in-depth interviews, observations, and document analysis involving network managers, users, and local community leaders. The findings reveal that residents adopt RT/RW Net primarily due to affordability and flexible payment schemes. Beyond connectivity, these networks function as mechanisms for Community Driven Digital Inclusion (CDDI), fostering social cohesion through "digital gotong royong" and enabling micro-economic activities. However, sustainability is threatened by legal ambiguity and the risk of enforcement actions. The article concludes by recommending a regulatory framework that legitimizes community networks through cooperative licensing models to ensure inclusive digital transformation.
The Influence of Environmental Consciousness, Environmental Concern, Perceived Value, Perceived Risk on Purchase Intention Through Product Trust Mediation: Study of the Recycled Product Industry in Banten Province An Nisaa Syauqi Ul Jannah; Prio Utomo; Florentina Kurniasari
Journal Research of Social Science, Economics, and Management Vol. 4 No. 1 (2024): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i1.688

Abstract

The waste problem requires a multidimensional approach, especially in processing and sorting at the source, in line with the Sustainable Development Goals of achieving zero waste in the future. The waste bank program has been introduced to support waste reduction and the circular economy, but public interest in recycled products remains low. Banten Province, one of the five provinces with the highest waste tonnage in Indonesia in 2022, showed interest of only 19.3%. This study aims to identify the factors influencing public purchase intention of recycled products, with product trust as a mediating variable. Through online questionnaires and data analysis using SEM PLS, involving 158 respondents in Banten Province, it was found that environmental consciousness, environmental concern, perceived value, and perceived risk significantly influence the purchase intention of recycled products. Additionally, these factors also significantly affect product trust. Mediation analysis shows that product trust can mediate the relationship between environmental consciousness and environmental concern with purchase intention, but it is not optimal in mediating the impact of perceived value and perceived risk. Recommendations for environmental activists in Banten Province include increasing the credibility and clarity of information regarding recycled products, as well as ensuring the cleanliness and safety of these products to directly enhance public purchase intention and support the circular economy in Banten Province.
CONTINUANCE INTENTION OF AI-BASED CHATBOT SERVICES IN HIGHER EDUCATION: EVIDENCE FROM INDONESIA Winda Maulidina Nurrohmah; Prio Utomo; Johny Natu Prihanto
Jurnal Muara Ilmu Ekonomi dan Bisnis Vol. 9 No. 2 (2025): Jurnal Muara Ilmu Ekonomi dan Bisnis
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmieb.v9i2.35384

Abstract

Chatbot berbasis Kecerdasan Buatan (Artificial Intelligence/AI) semakin banyak digunakan di pendidikan tinggi untuk meningkatkan layanan mahasiswa. Namun, masih sedikit kajian yang meneliti faktor-faktor yang mendorong keberlanjutan penggunaan teknologi ini. Lambatnya response oleh layanan kemahasiswaan mendorong pemahaman lebih dalam mengenai determinan niak belernajutan dalam mempergunakan chatbot berbasi AI dengan menerapkan kerangka Technology Continuance Theory (TCT). Penelitian ini mempergunakan pendekatan kuantitatif dengan metode sampling purposive dimana data survei dikumpulkan dari 294 mahasiswa dan dianalisis menggunakan Partial Least Squares–Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa kualitas informasi berpengaruh signifikan terhadap persepsi kemudahan penggunaan, sementara kualitas sistem meningkatkan konfirmasi dan persepsi kegunaan. Namun, kualitas layanan tidak berpengaruh signifikan terhadap persepsi kegunaan. Baik persepsi kegunaan maupun kemudahan penggunaan terbukti berperan penting dalam mendorong niat keberlanjutan penggunaan VARA. Secara teoretis, penelitian ini memperluas penerapan TCT dalam konteks pendidikan tinggi dengan menunjukkan bagaimana kualitas informasi dan kualitas sistem secara bersama-sama membentuk niat keberlanjutan penggunaan. Secara praktis, temuan ini memberikan arahan bagi universitas untuk meningkatkan desain chatbot melalui keakuratan, keandalan, dan kemudahan penggunaan informasi. Penguatan faktor-faktor tersebut sangat penting untuk mendukung transformasi digital yang berkelanjutan dalam layanan mahasiswa.   Artificial Intelligence (AI)-based chatbots are increasingly being adopted in higher education to enhance the quality of academic services. However, research on the factors influencing the sustained use of these technologies remains limited. This study aims to identify the determinants of students’ continuance intention to use AI-based chatbots by applying the Technology Continuance Theory (TCT) framework. This quantitative research used a purposive sampling method, where data were collected from 294 students and analyzed using Partial Least Squares structural equation modeling (PLS-SEM). The results indicate that information quality significantly influences perceived ease of use, whereas system quality enhances both confirmation and perceived usefulness. In contrast, service quality had no significant effect on perceived usefulness. Perceived usefulness and ease of use are key factors in shaping students’ intention to continue using chatbots. This study extends the application of TCT in higher education by demonstrating how information and system quality jointly influence continuance intention. In practice, the results can guide universities in improving chatbot design by ensuring accuracy, reliability, and usability. Strengthening these elements is vital for sustaining the digital transformation of student services.