Claim Missing Document
Check
Articles

Found 13 Documents
Search

Rancang Bangun dan Implementasi Sistem Antrian Customer Pada PT. Infomedia Solusi Humanika Rosnelly, Rika; Sari, Dian Maya; Paramitha, Cindy
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 2 No 1 (2021): VOLUME 2. NO 1. APRIL 2021
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v2i1.1109

Abstract

The service process carried out at the customer care center is currently still using a manual service system. Therefore, the researcher tries to implement a customer queuing system at the care center to simplify the service process. In this final result the researcher will use the ATMega 16 microcontroller minimum system module for the design and manufacture of a minimum system to simplify the customer queuing service process at the care center. Microcontroller programming is widely used for service system display functions on seven segment displays as well as print out queue no. The process begins with the visitor pressing the push button which then the system will issue a print out of the visitor queue no. If the customer care servant presses the push button in the system used by the customer service, it is used for seven segment displays. Then the data from the push button results will be sent by the microcontroller to print out the queue no on the printer, and then enter the data into the Personal Computer. After that the waiter at the customer care presses the button then the data is sent by the microcontroller to be output on the seven segment display.
THE IMPACT OF CHATGPT-BASED ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF ENTREPRENEURSHIP SKILLS Sari, Dian Maya; Putri, Wisri Ardhita Manda; Sasmita, Rossy Luckita; Zulfiani, Putri Chairina; Sihombing, Mei Alsih
Jurnal Muara Pendidikan Vol. 10 No. 2 (2025): Jurnal Muara Pendidikan, Vol 10 Issue 2, Desember 2025
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/mp.v10i2.3638

Abstract

The rapid advancement of artificial intelligence (AI) has brought transformative opportunities for higher education, particularly in strengthening entrepreneurship education. This study examines the impact of ChatGPT-based AI integration on the development of entrepreneurship skills among undergraduate students. Employing a quantitative research design with a sample of 32 students, data were collected through a structured questionnaire assessing four core dimensions of entrepreneurial competence: opportunity recognition, creativity and innovation, business planning, and problem-solving. Descriptive statistics and paired sample t-tests were applied to measure differences between pre-test and post-test scores. The results demonstrate that ChatGPT integration significantly improved students’ entrepreneurship skills, with the greatest gains observed in creativity and innovation, followed by business planning. The overall mean score increased substantially, and all improvements were statistically significant (p < 0.001), indicating a strong positive effect of AI-enhanced learning. These findings highlight ChatGPT’s potential as an effective pedagogical tool for fostering entrepreneurial competencies and preparing students for the challenges of the digital economy. The study recommends further exploration of generative AI applications in entrepreneurship education to optimize skill development and innovation capacity.
Estimation of Logistic Regression Model on The Risk of Acute Respiratory Infection Toddlers at Cikampak Torgamba Public Health Center Using The Maximum Likelihood Method Sari, Dian Maya; Rakhmawati, Fibri; Cipta, Hendra
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2022): Vol. 5 No. 1 Maret 2022
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v5i1.1762

Abstract

According to the World Health Organization (WHO), the incidence of Acute Respiratory Infections (ARI) in the world by number of toddler who died achieve ± 13 million each year. Researchers will estimate the model equations logistic regression using maximum likelihood. The purpose of this study was to determine the logistic regression model against respiratory infection in infants and the test results of the method of maximum likelihood against respiratory infection in infants in the health center Cikampak Torgamba. Logistic regression Model against the toddler obtained results that the model to be used and the test results of the method of maximum likelihood that the model is significant.