Claim Missing Document
Check
Articles

Found 13 Documents
Search

Social Media Engagement and Student’s Intention in Indonesian Higher Education Using Unified Theory of Acceptance and Use of Technology Matrissya Hermita; Budi Hermana; Suryadi Harmanto; Adang Suhendra; Munawir Pasaribu
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 3 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3019

Abstract

Understanding the motivations behind the use of social media in higher education is crucial for assessing its potential benefits and challenges. However, examining the contribution of social media on collaborative learning within the context of Indonesian universities holds significance due to the country’s growing digital landscape and increasing adoption of social media platforms. This research aimed to analyze proposed collaborative learning models involving social media use among Indonesian University students. The proposed models are constructed based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The quantitative method used was analyzing primary data from 143 private university students in Indonesia. Data were collected using a 5-point Likert scale self-reported questionnaire of Internet Anxiety, Habit, and Performance Expectancy and Behavior Intention as well as Social Media Engagement to mediate collaborative learning. The result of this study was that Social Media Engagement and Behavior Intention significantly influence Performance Expectancy and Habit. There was also a significant influence of Internet Anxiety on behavioral intention. Thus, Collaborative Learning is significantly influenced by Social Media Engagement. These results provided insight into developing effective strategies for integrating social media into higher education.
Determinants and Impact of Digital Transformation on Small Business Performance in the Jabodetabek Area Endika Perdana; Budi Hermana; Adi Kuswanto
Return : Study of Management, Economic and Bussines Vol. 3 No. 10 (2024): Return : Study of Management, Economic And Bussines
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v3i10.282

Abstract

Small business actors are currently facing many challenges, where competition from the small business sector itself is getting tougher and facing the COVID-19 pandemic situation that hit Indonesia in early 2020, this is the biggest challenge faced by business actors, especially small businesses, small business actors may lose many consumers who transact offline. In order to survive, small business actors try new alternatives, namely by selling digitally or online. Researchers identify that the application of digital transformation can improve company performance supported by factors that influence digital transformation. The purpose of this study is to analyze the influence of the factors that support digital transformation and analyze the effect of digital transformation on company performance. This research proves that the application of digital transformation in a business or business can improve business performance for a company or organization.
Assessment of Conveyor Machine Maintenance Performance in the Filling Area Using MTTR, MTBF, and Availability Analysis Lucky Arvel; Alsen Medikano; Budi Hermana
Jurnal Konversi Energi dan Manufaktur Vol. 11 No. 2 (2026)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.11.2.9

Abstract

Efficient machinery maintenance is paramount to ensuring continuous production flows and minimizing unexpected asset disruptions in automated manufacturing environments. This study evaluates the operational reliability and maintenance performance of a critical belt-type conveyor machine within the Lithos filling line at PT. Pertamina Lubricants. Utilizing historical breakdown data extracted from the facility's Computerized Maintenance Management System (CMMS), empirical time-centric metrics were calculated across a representative 18-day continuous production period. Within this temporal window, a total of 60 unscheduled mechanical and electrical failure sequences were documented and analysed. Quantitative processing reveals that the conveyor system exhibited an empirical Mean Time to Repair (MTTR) of 26.28 minutes and a Mean Time Between Failures (MTBF) of 225.72 minutes. These structural parameters yield a cumulative operational availability rate of 89.57%. Although the availability index indicates a reasonable baseline of functional readiness, the high breakdown frequency highlights critical system vulnerabilities that cause downstream bottlenecks and degrade overall plant efficiency. To optimize asset lifecycle performance and mitigate micro-stoppages, implementing a structured Cleaning, Lubrication, and Inspection (CLI) schedule within an autonomous maintenance framework is highly recommended. Empowering shop-floor operators to execute initial inspections will systematically enhance conveyor availability and production throughput.