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All Journal Khairun Law Journal JOINT (Journal of Information Technology Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Al-Khidmah Jurnal Pengabdian Masyarakat Journal of Artificial Intelligence and Digital Business Digital Business Tren Bisnis Masa Depan Jurnal Ekonomi, Bisnis, dan Humaniora Community Empowerment : Jurnal Pengabdian dan Pemberdayaan Masyarakat
Muliansyah, Dadah
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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From chatbots to conversational commerce: The role of AI in shaping consumer purchase decisions Muliansyah, Dadah; Nurhidayah, Rika
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 3 No. 2 (2024): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v3i2.1068

Abstract

As conversational artificial intelligence (AI) continues to transform digital commerce, understanding how chatbot-mediated interactions shape consumer decision-making is essential. This study investigates the role of AI-based chatbots in influencing consumer purchase behavior through real-time, natural language communication. Focusing on the emerging dimensions of perceived empathy and trust, the research employs a mixed-methods approach combining a quantitative survey (n = 420) and qualitative text mining of chatbot dialogues collected from the used car sales sector in the Tangerang region, Indonesia. Findings reveal four key insights: (1) perceived empathy strongly predicts consumer trust, (2) trust in AI significantly drives behavioral intention to purchase, (3) empathy also directly influences intention, and (4) empathetic language triggers engagement during chatbot interactions. These results demonstrate that affective communication by AI agents is a critical driver of consumer responses in digital transactions. The study extends the Technology Acceptance Model by integrating emotional constructs and contributes to human resource and marketing strategy by showing how emotional intelligence, when encoded into AI systems, affects relational and behavioral outcomes. Despite the geographic and sectoral limitations of the sample, the findings underscore the growing need to humanize AI communication in commerce. Future research should explore cross-cultural validations and assess AI–human interaction in broader organizational contexts.
EFEKTIVITAS PENERAPAN PIDANA DENDA DALAM PELANGGARAN LALU LINTAS: STUDI KASUS DI PENGADILAN NEGERI BOGOR Satiadharmanto, Deddi Fasmadhy; Sanjaya, Sendi; Muliansyah, Dadah; Nasution, Syarif Hidayatullah; Zamzanie, Zamzanie
Khairun Law Journal Volume 9 Issue 1, September 2025
Publisher : Faculty of Law, Khairun University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/klj.v9i1.9630

Abstract

Traffic violations have become a significant issue in Indonesia, including in the Bogor region. Despite the implementation of fines as a penalty for traffic violations, the effectiveness of this penalty in reducing violations remains questionable. This study aims to analyze the effectiveness of fines as a penalty for traffic violations in the jurisdiction of the Bogor District Court. The research uses a case study approach, analyzing traffic violation data from 2022 to 2024 and conducting interviews with judges, police officers, and offenders. The findings reveal that while fines are effective in some cases, there are still factors such as low enforcement, inadequate public awareness, and insufficient deterrent effects that affect their success. The study also identifies the community's perception of the fine penalty system and suggests recommendations to enhance its effectiveness. The study concludes that improving the implementation of fines, along with increasing public education, could contribute to reducing traffic violations and promoting legal compliance.
Co-Authors Ade Onny Siagian Adham, Ibnu Alvianita, Syavilla Azis, Nur Cahyono, Yoyok Fasmadhy Satiadharmanto, Deddi Heritawati, Ayunia I Dewanto Malik, Rahmalia Nabila, Tiara Nasution, Syarif Hidayatullah Nurhidayah, Rika Parulian, Pahala Rahmayanti, Rima Ratnasari, Ani Reskiyah, Efri Rika Nurhidayah Salsabila, Tiara Sanjaya, Sendi Satiadharmanto, Deddi Fasmadhy Sodikin, Nur Sofyan Sofyan Teguh Wibowo, Bimo Wibowo, Bimo Teguh Zamzanie, Zamzanie