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Design And Implementation Of A Digital Advertising Pipeline Based On 3d Modeling (Blender) And Video Editing (Capcut) For A Facial Wash Product Campaign Sherly Aprianti; Dandi Sunardi; Muhammad Imanullah; Agung Kharisma Hidayah
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 4 (2026): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i4.12323

Abstract

Rapid advancements in digital technology have driven a shift in marketing strategies from conventional approaches to visually creative digital marketing. The facial care industry—specifically the facial wash sector—faces intense competition, necessitating creative promotion via popular social media platforms like TikTok. However, the advertising content production process is often hindered by a lack of seamless integration between 3D animation creation and video editing, resulting in inconsistent final outputs and wasted time. This study aims to design and implement a digital advertising production pipeline that integrates Blender-based 3D animation with CapCut video editing, while also evaluating the product's feasibility based on target audience feedback. A descriptive qualitative research method was employed, utilizing the Multimedia Development Life Cycle framework, which comprises six systematic stages. Feasibility data was gathered via questionnaires administered to twenty-six university students (aged 21–24) who use skincare products, selected through purposive sampling. The results demonstrate that the designed pipeline successfully produced a high-quality, 27-second 3D animated advertisement video consisting of seven scenes. Feasibility assessments yielded an average score of 83.8%, categorizing the video as highly feasible. Visual elements specifically color, lighting, and text readability received the highest score (86.9%), while water particle visual effects received the lowest (73.8%). Objective measurement of the Peak Signal-to-Noise Ratio (PSNR) showed an average of 13.49 dB, a result attributed to automatic compression during export; meanwhile, publishing the video on TikTok generated 170 initial views over a three-day period. The study concludes that integrating Blender and CapCut within the Multimedia Development Life Cycle framework effectively optimizes the efficiency of digital advertisement production..
Simulation of IoT-Based Chicken Coop Monitoring and Control with an Early Warning System for Extreme Temperatures Fredy Prayoga; Agung Kharisma Hidayah; RG Guntur Alam; Dedy Abdullah
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 4 (2026): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i4.12538

Abstract

The development of Internet of Things (IoT) technology has encouraged the implementation of automated monitoring and control systems in various fields, including poultry farming. Manual management of temperature and humidity in poultry houses may lead to delayed responses, which can negatively affect the health and productivity of chickens. Therefore, this study aims to design and simulate an IoT-based poultry house monitoring and control system with an early warning system. The simulation is conducted using Wokwi by utilizing an ESP32 microcontroller, a DHT22 sensor to measure temperature and humidity, a relay as the control device, a buzzer as the warning alarm, and a fan and heater as actuators. The proposed system is designed to monitor environmental conditions in real time, automatically control the actuators, and provide early warnings whenever the environmental conditions exceed the predefined thresholds. This study is expected to produce a simulation model that can serve as a foundation for the development of a more effective and efficient smart poultry house system.