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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Komtekinfo
Candra Putra
Institut Pertanian Bogor
Computer Science & IT Social Sciences

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PENGARUH PERSONAL SELLING AGEN PENJUALAN TERHADAP BRAND IMAGE MOBIL TOYOTA ETIOS Putra, Candra; ", Kasmiruddin
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol 2, No 2: WISUDA OKTOBER 2015
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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Abstract

This research was conducted at PT Agung Automall Pekanbaru in order todetermine the influence of personal selling sales agent for Toyota Etios BrandImage PT Agung Automall Pekanbaru. Variable in this research are: personalselling and brand image. The sample in this study is as much as 94 consumersusing proportional random sampling technique. The analytical method used issimple regression. Based on the results obtained between the influences ofPersonal Selling Sales Agent Against Brand Image by using the coefficient ofdetermination is KD = r 2 x 100% = (0732) 2 x 100% = 0536 means that theaverage value amounting to 53.6% of brand image are determined by PersonalSelling Dealers. Furthermore, from the results obtained regression equation Y =12 236 + 0242 X. The equation shows that if the Personal Selling Agent Salesincreased by 1 unit will affect the brand image of the increase in 0242, as seenfrom the value of b is positive. Results of hypothesis testing t = 6937> t table =2.000 at 95% confidence level. Based on these results that there is influencebetween Personal Selling Sales Agent Against Brand Image Toyota Etios(Business Case PT Agung Automall Car Sales Pekanbaru)Keywords: Personal Selling, brand image
Large Language Model Method as a Translator Indonesian Into SQL Language Putra, Candra; Arlis, Syafri; Nurcahyo, Gunadi Widi
Jurnal KomtekInfo Vol. 12 No. 3 (2025): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v12i3.658

Abstract

The development of information technology has encouraged the massive implementation of information systems and web-based applications in various sectors, including in the academic environment. However, one of the challenges that are still often faced is the difficulty in extracting or mining information from databases flexibly without having to create additional report modules or write SQL code manually. This problem becomes an obstacle for non-technical users, such as administrative staff or lecturers, who need certain data quickly from academic information systems. In this paper, it is intended to convert Indonesian commands into SQL queries automatically, without the need to add additional programming code. Along with advances in Natural Language Processing (NLP) and Machine Learning technology with the Large Language Model (LLM) method, there is now a new approach that allows users to interact with databases only through commands in natural language. The case study was conducted on the Academic Information System of UIN Padangsidimpuan using a dataset of 1,500 student data. The focus of the research is on the type of Data Query Language (DQL) query in Indonesian form, which is then translated by the model into a SQL command to obtain the desired data. The results showed that this approach was able to achieve results with a Rouge1 conversion precision rate from 0.03 to 0.89. This shows that the integration of LLM technology in academic information systems has great potential in improving data accessibility, operational efficiency, and supporting data-driven decision-making faster and more intuitively, especially for users who do not have a technical background.
Co-Authors Gunadi Widi Nurcahyo Kasmiruddin " Syafri Arlis