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Socialization of the Use of Chat GPT in Increasing Village Community Resources Ferine, Kiki Farida; Nadriati, Sri; Arif , Muhammad; Muharmi, Yulya; Kusuma, Chandra
Journal Of Human And Education (JAHE) Vol. 4 No. 3 (2024): Journal of Human And Education
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i3.939

Abstract

Recently, the topic of AI has been on the rise. The AI ​​hashtag was trending on Twitter. AI is an acronym for Artificial Intelligence or in Indonesian it is called artificial intelligence. AI is actually a field of computer science that focuses on solving cognitive problems or related to human intelligence, such as problem solving and pattern recognition. This ability, which seems like human intelligence, is controlled by a system controlled by a robot or computer. ChatGPT (Generative Pre-training Transformer) is an artificial intelligence system supported by AI that enables text-based conversational interactions. ChatGPT has various functions, including language translation, providing recommendations, increasing productivity, and assisting in improving village community resources. Therefore, the aim of this community service is to see the potential for using ChatGPT to help improve Village Community Resources in Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra. In obtaining the data used were observation and literature review. This service activity is an educational effort to use ChatGPT to help increase community resources in Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra. This effort was motivated by the lack of knowledge about the use of AI (Artificial Intelligence), especially ChatGPT in the community, which could increase the resources of the Aek Pancur village community itself. As a form of the author's thoughts, the efforts and breakthroughs made are offered, which can provide real benefits for the people of Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra in obtaining the latest information and actively participating in village development.
Analysis Of Employee Discipline Based On Digital Attendance With The K-Means Algorithm Method Muharmi, Yulya; Nadriati, Sri
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2628

Abstract

Employee discipline is one of the most important factors for the progress of the company. PT. Sumatra Core Cellular (PT. SIS) Pekanbaru has implemented a digital attendance application, but the company has not evaluated the application to determine the level of employee discipline. Data mining is the process of extracting useful information from a large database population. One of the data mining methods is the K-Means algorithm. The data mining process uses the method of K-Means algorithm with 2 clusters namely discipline and less disciplined categories. The data used is attendance data of 159 employees, namely data on tardiness, non-attendance (TAP), attendance hours and 4 selected questionnaire questions. Tools for grouping with the Rapidminer application. Using the K-Means algorithm method, it is known that cluster 0 consists of 133 employees or 83.64% with a disciplined category and cluster 1 produces 26 employees or 16.35% with a less disciplined category. Judging from the accuracy of attendance hours, employees in cluster 0 are more likely to be present at 07.45 - 08.15 and in cluster 1 they are more likely to be present at 08.15 - 08.30. In terms of lateness and TAP, there is a lack of discipline in cluster 1. From the level of satisfaction with the application based on 4 selected questions, it can be concluded that the digital attendance application increases the discipline of the employees. The results of this analysis can be used as a reference for evaluating employee discipline, determining promotions and improving employee discipline in the future.