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Predicting Patient Satisfaction Levels Using Artificial Intelligence Technology for Food Service at ERI Soedewo RSPAD Gatot Soebroto

Aptisi Transactions on Technopreneurship (ATT) · Vol. 5 No. 2sp (2023) · hlm. 124–134

DOI
10.34306/att.v5i2sp.334
ISSN
2656-8888, 2655-8807
Terbit
2023-08-07
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

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.

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  • Universitas Raharja
  • Universitas Mohammad Husni Thamrin
  • Universitas Panca Sakti Bekasi
  • Tadulako University
  • Universitas Muslim Indonesia
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Rekan penulisOrganisasiArtikel bersama
Wahyuningsih WahyuningsihTadulako University1
Tarisya RamadhanUniversitas Raharja1
Nanda SeptianiUniversitas Raharja1
Fifin AlfianaUniversitas Raharja1
Nimatul KhofifahUniversitas Raharja1
Nadia Nur AzizahUniversitas Raharja1
ArdiUniversitas Muslim Indonesia1
Dedeh SupriyantiUniversitas Raharja1
Yulia Putri Ayu SanjayaUniversitas Raharja1
Karno DiantoroAfiliasi tidak diketahui1
Untung RahardjaUniversitas Raharja1
Qurotul AiniUniversitas Raharja1
Nuke Puji Lestari SantosoUniversitas Raharja1
Dwi ApriliasariUniversitas Raharja1

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Sumber metadata: OAI-PMH (metadata jurnal) https://att.aptisi.or.id/index.php/att/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Predicting Patient Satisfaction Levels Using Artificial Intelligence Technology for Food Service at ERI Soedewo RSPAD Gatot Soebroto</dc:title>
	<dc:creator xml:lang="en">Suhermi</dc:creator>
	<dc:creator xml:lang="en">Rinto</dc:creator>
	<dc:creator xml:lang="en">Singgih</dc:creator>
	<dc:creator xml:lang="en">Watini, Sri</dc:creator>
	<dc:creator xml:lang="en">Ramadhona, Nova</dc:creator>
	<dc:subject xml:lang="en"> Satisfaction Level</dc:subject>
	<dc:subject xml:lang="en">Food Service</dc:subject>
	<dc:subject xml:lang="en">Inpatients</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:description xml:lang="en">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. </dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2023-08-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://att.aptisi.or.id/index.php/att/article/view/334</dc:identifier>
	<dc:identifier>10.34306/att.v5i2sp.334</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 5 No. 2sp (2023): Special Issue: Support Technopreneurship in the Medical; 124-134</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical; 124-134</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v5i2sp</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/334/219</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Suhermi, Rinto, Singgih, Sri Watini, Nova Ramadhona</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>