Yuhka Sundaya
Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Islam Bandung

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Analisis Faktor-Faktor Ekonomi Perilaku yang Mempengaruhi Keterlibatan Sharing Konten Produk di Tiktok Alinda Mutiara Salwa; Yuhka Sundaya
Bandung Conference Series: Economics Studies 471 - 478
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcses.v6i2.25776

Abstract

Abstract. The transformation of the digital market has significantly altered consumer decision-making processes in the pre-purchase phase. Social media has become the primary source of information shaping consumer behavior. This study aims to analyze the effect of the number of likes, the number of saves, and product prices on the probability of product endorsement content sharing behavior on the TikTok platform. Data were collected from TikTok Insights across 57 endorsement videos from the account @aleen.4044 between June 2024 and December 2025. Data processing was conducted using an ordered logit regression model. The estimation results indicate that the variables like and ln_price have a positive effect on the probability of moving to a higher share behavior category, whereas the variable save has a negative effect. These findings demonstrate that sharing behavior is influenced by a combination of emotional responses, information evaluation processes, and perceptions of the product's economic attributes. From a Behavioral Economics perspective, saving activity represents bounded rationality, liking activity reflects the affect heuristic, while price information acts as an anchor in the product evaluation process through the anchoring effect. Abstrak. Transformasi pasar digital telah mengubah proses pengambilan keputusan konsumen pada fase pre-purchase. Media sosial menjadi sumber informasi utama dalam membentuk perilaku konsumen. Penelitian ini bertujuan untuk menganalisis pengaruh jumlah like, jumlah save, dan harga produk terhadap probabilitas perilaku penyebaran konten produk endorsement (share) pada platform TikTok. Data diperoleh dari TikTok Insights pada 57 video endorsement akun @aleen.4044 periode Juni 2024 hingga Desember 2025. Pengolahan data dilakukan menggunakan model regresi ordered logit. Hasil estimasi model menunjukkan bahwa variabel like dan ln_price berpengaruh positif terhadap probabilitas peningkatan kategori perilaku share, sedangkan variabel save berpengaruh negatif. Temuan tersebut menunjukkan bahwa perilaku share dipengaruhi oleh kombinasi respons emosional, proses evaluasi informasi, dan persepsi terhadap atribut ekonomi produk. Dalam perspektif Behavioral Economics, aktivitas save merepresentasikan bounded rationality, aktivitas like mencerminkan affect heuristic, sedangkan informasi harga berperan sebagai anchor dalam proses evaluasi produk melalui anchoring effect.
Analisis Biaya Kemacetan Lalu Lintas di Ruas Jalan Kota Bandung Tasya Auliya Hamdani; Yuhka Sundaya
Bandung Conference Series: Economics Studies 487 - 496
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcses.v6i2.25851

Abstract

Abstract. Traffic congestion is a transportation problem that causes economic losses due to increased vehicle operating costs and travel time losses. This study aims to analyze traffic conditions and estimate congestion costs on the Tamansari Road Corridor between Siliwangi Intersection and Cikapayang Intersection in Bandung City. The study employed a descriptive quantitative approach using the Cost of Congestion (COC) method. Data were collected through field observations and secondary sources. The results indicate that traffic congestion increases vehicle operating costs and travel time, resulting in economic losses for road users. The findings are expected to support urban transportation planning and traffic management policies. Abstrak. Kemacetan lalu lintas merupakan permasalahan transportasi yang menimbulkan kerugian ekonomi akibat meningkatnya biaya operasional kendaraan dan hilangnya waktu perjalanan. Penelitian ini bertujuan menganalisis kondisi lalu lintas serta mengestimasi biaya kemacetan pada ruas Jalan Tamansari Koridor Simpang Jalan Siliwangi–Simpang Jalan Cikapayang Kota Bandung. Penelitian menggunakan metode Cost of Congestion (COC) dengan pendekatan kuantitatif deskriptif. Data diperoleh melalui survei lapangan dan data sekunder dari instansi terkait. Hasil penelitian menunjukkan bahwa kemacetan pada lokasi penelitian menyebabkan peningkatan biaya operasional kendaraan dan nilai waktu perjalanan sehingga menimbulkan kerugian ekonomi bagi pengguna jalan. Hasil penelitian diharapkan dapat menjadi bahan pertimbangan dalam perencanaan dan pengelolaan transportasi perkotaan.