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All Journal Aptisi Transactions on Technopreneurship (ATT) International Transactions on Education Technology (ITEE)
Nova Ramadhona
University of Raharja
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences

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Students' Opinions of the Use of Quipper School as an Online Learning Platform for Teaching English Nova Ramadhona; Ananda Alifia Putri; Dewi Sri Surya Wuisan
International Transactions on Education Technology Vol. 1 No. 1 (2022): ITEE (International Transaction on Education Technology)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v1i1.180

Abstract

This article examines how students feel about using Quipper School as an e-learning platform to teach English and discusses its benefits and drawbacks. Using the cluster sampling approach and concentrating on the survey study method, this study used two sample classes with a total of fifty-three participants. Twenty questionnaires were sent out to students to gauge their opinions of Quipper School. When exploring the benefits and drawbacks of implementing Quipper School, which has been done through student interviews, in-depth information seems to be as significant as continuous responses. The results showed that pupils prefer to utilize IT and are at ease using it for educational purposes. More importantly, Quipper School's benefits encourage interaction between students and teachers both within and outside of the classroom. Even though the teacher isn't in the room, the pupils still receive instruction or have a chance to review the content. It uses a revolutionary learning approach to improve students' learning experiences. Quipper school also has drawbacks when used in the educational process, for instance, erratic internet connections, restricted computer resources that facilitate study at Quipper School, additionally, there was no spoken material that could be used in a prep school. Today, employing a quipper school to teach English might be beneficial for studying and teaching. Although the teacher is not physically present to give direct instruction, students still receive a lesson, and by studying the information whenever and wherever they are, they can increase their success in learning English.
Predicting Patient Satisfaction Levels Using Artificial Intelligence Technology for Food Service at ERI Soedewo RSPAD Gatot Soebroto Suhermi; Rinto; Singgih; Sri Watini; Nova Ramadhona
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.334

Abstract

Satisfaction is one aspect that assesses the quality of health services, namely in serving food in hospitals. The purpose of this study was to describe the level of patient satisfaction with food at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital. The results of a study of 47 patients in the Eri Soedewo Pavilion in June 2021 showed that the remaining food of patients who consumed 20%, 35 patients were categorized as good, while 12 patients had the remaining food consumed 20%, which was classified as not good. Therefore, researchers are interested in conducting this research. Methods: The type of research used is observational with a cross-sectional design. Samples were taken using purposive sampling with inclusion criteria: male and female inpatients aged18 years admitted for at least two days, patients who received oral food from the hospital, were not illiterate and could communicate, had signed the PSP form and were willing as research samples. The model in this study was 47 patients taken in June 2021. Results: Based on the sample size calculation, 47 people were determined. The results of the level of patient satisfaction at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital, found that the performance of food serving has not met the minimum standard set, namely 90%. With a higher percentage of reality, namely with an average of 82.0%, the average expectation percentage is 76.7%. However, suppose the real results are compared with patient expectations. In that case, the result is that the patient is satisfied with the services provided. Artificial intelligence can assess medical data, food preferences, and patient feedback to improve food serving performance.
Co-Authors Ananda Alifia Putri Rinto Singgih Sri Watini Suhermi Wuisan, Dewi