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All Journal JPLED Journal of Innovative and Creativity
Herisvan Hendra
Universitas PGRI Sumatera Barat
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Short-Video Marketing Trends: The Influence of Content on The Decision To Purchase ERIGO Products on The TikTok Application: Indonesia Neffi Sulkaisi; Irfan Fiddle; Herisvan Hendra; Nia Febriyani
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1128

Abstract

ABSTRAK Penelitian ini bertujuan untuk menganalisis pengaruh konten video pendek terhadap keputusan pembelian produk ERIGO di TikTok. Tiga variabel yang diteliti adalah daya tarik visual, keaslian konten, dan keterlibatan emosional. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik purposive sampling terhadap 150 responden. Analisis data dilakukan menggunakan SEM AMOS. Hasil penelitian menunjukkan bahwa ketiga variabel berpengaruh positif dan signifikan terhadap keputusan pembelian, dengan keterlibatan emosional sebagai faktor paling dominan. Temuan ini menunjukkan pentingnya strategi konten yang menarik, autentik, dan emosional dalam meningkatkan efektivitas pemasaran di platform video pendek seperti TikTok. Kata kunci: TikTok, video pendek, keputusan pembelian, konten digital, ERIGO. ABSTRACT This study analyzes the influence of short-video content on the purchase decision of ERIGO products on TikTok. The variables examined include visual appeal, content authenticity, and emotional engagement. A quantitative approach was used with purposive sampling of 150 respondents. Data were analyzed using SEM AMOS. The results indicate that all three variables significantly affect purchase decisions, with emotional engagement being the most dominant factor. The findings highlight the importance of compelling, authentic, and emotionally engaging content in enhancing marketing effectiveness on short-video platforms like TikTok. Keywords: TikTok, short video, purchase decision, digital content, ERIGO.
Design and Build a Temperature and Humidity Monitoring System Using Arduino IoT Cloud with ESP32 as an IoT-Based Learning Medium Roynaldo Siahaan; Faiza Rini; Herisvan Hendra
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.923

Abstract

The objectives of this study are: (1) to design and develop an IoT-based temperature and humidity monitoring system in a wire house, (2) to implement an automatic spraying system that operates based on predetermined temperature and humidity parameters, and (3) to integrate the ESP32 microcontroller with sensors and actuators into the Arduino IoT Cloud platform so that the system can be monitored and controlled online. This research employs an applied quantitative approach with an experimental method. The study was conducted in August 2025 at the Wire House of SMK Negeri 1 Talamau. Data collection was carried out by testing the DHT22. The data analysis technique consisted of processing the measurement results of temperature and humidity obtained from the DHT22 sensor and the reference thermo-hygrometer (Humidity Temperature Clock-1). The results indicate that the IoT-based temperature and humidity monitoring system using Arduino IoT Cloud with ESP32 was successfully tested and performed well. The system was designed to allow easy real-time monitoring of room temperature and humidity through IoT technology, with real-time data accessible via laptop or smartphone, particularly Android devices. The findings show that the average relative error for temperature measurements was 1.12%, while the average relative error for humidity measurements was 2.07%. The average measured temperature using the DHT22 sensor was 34.68°C, compared to 34.27°C using the reference instrument. Meanwhile, the average humidity recorded by the DHT22 sensor was 67.04%, compared to 65.68% from the reference instrument.
Co-Authors Faiza Rini Irfan Fiddle Neffi Sulkaisi Nia Febriyani Roynaldo Siahaan