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Pengaruh Penggunaan ChatGPT dan Google Scholar dalam Mencari Sumber Informasi Akademik Bagi Mahasiswa Hadid Pangestu, Arya; Setiyawan, Alan; Syahrul Romadhon, Muhammad; Sutiawan, Hedi; Rizki Pratama, Adrian; Maulana Asviara, Daffa; Satini, Satini; Zulkarnaen, Iskandar
Jurnal Etnik: Ekonomi-Teknik Vol 3 No 2 (2024): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v3i2.317

Abstract

This study aims to collect and analyse students' assessment of the use of ChatGPT and Google Scholar in finding academic information sources. Data was collected through a questionnaire designed to evaluate ease of use, quality of information obtained, and impact on students' learning process. The results of the questionnaire were analysed using statistical methods to ensure the validity and reliability of the findings. Normality test, validity test, and reliability test were conducted to ensure data distribution and reliability. The results showed that the Cronbach's Alpha value of 0.8290 confirmed that the data was reliable. The correlation coefficient between 0.600 to 0.800 shows a high correlation, indicating the significant influence of using ChatGPT and Google Scholar in helping students find and understand academic information. Nonetheless, some limitations need to be noted, such as limitations in interpretation and analysis that require in-depth understanding as well as customisation to specific academic contexts.
Analisis Pengendalian Kualitas Produksi Donat Di Toko Donat Madu Cihanjuang Kota Bekasi, Jawa Barat Hadid Pangestu, Arya; Thoriq, Muhammad; Al Gifari Abdullah, Qeis; Paduloh, Paduloh
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 11 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i11.274

Abstract

This research aims to help reduce defects and improve the production process for the better. The method used in the Quality Control Analysis of Donut production is the Statistical Quality Control (SQC) method to ensure the level of product quality statistically, and by using a quantitative approach in the form of descriptive by collecting data through observation and interview techniques. Since the results of the data found did not exceed the threshold on the P control map with a centre line of 0.036, the results showed that the honey donut products were still within the statistical control limits. A number of variables, such as the influence of people, machines, and methods, have an impact on the cause of product failure. The recommended corrective action is to organise regular meetings to discuss improving the quality of honey donut products, which will be the main reason in determining the most important thing to improve the quality of production.