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All Journal Academica : Journal of Multidisciplinary Studies Indonesian Health Journal MDP Student Conference
Sari, Andini Kartika
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Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health Veterinary Other

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Pengaruh Discount, Brand Image, dan Store Atmosphere terhadap Impulse Buying Sari, Andini Kartika
Academica : Journal of Multidisciplinary Studies Vol 2, No 2 (2018)
Publisher : IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (255.197 KB)

Abstract

This study aims to determine the effect of discount, brand image, and store atmosphere on impulse buying at Matahari Department Store Singosare. The dependent variable in this research is discount, brand image, and store atmosphere, while the independent variable is impulse buying. With quantitative methods, the hypothesis in this study was tested using linear regression analysis. A total of 100 respondents were chosen by accidental means. The results showed that discount, brand image, and store atmosphere had a positive and significant effect on impulse buying.Keywords: discount, brand image, store atmosphere, impulse buying.
Pengaruh ROE Dan CR Terhadap Return Saham Indeks LQ45 Sari, Andini Kartika; Elizabeth, Sri Megawati
MDP Student Conference Vol 3 No 2 (2024): The 3rd MDP Student Conference 2024
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v3i2.7392

Abstract

This study was conducted to determine the effect of ROE and CR on stock returns in LQ45 Index companies. The scope of this study is to discuss how the influence of ROE and CR on the return of shares of companies listed on the LQ45 Index. The research method used in this study is quantitative method. The type of data used is secondary data. The sample in this study amounted to 15 companies using the purposive sampling method. Data testing using the help of SPSS application version 21. The results show that ROE and CR have an influence on Stock Return
AI-Powered Innovations in Digestive Surgery: Current Evidence and Future Perspectives - A Systematic Literature Napitupulu, Rudi Pandapotan; Ardli, Ghaly Khaidar; Ramadhani, Muhammad Rizky; Dira, Neysa Ornella; Sari, Andini Kartika
Indonesian Health Journal Vol. 4 No. 1 (2025): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v4i1.677

Abstract

Artificial Intelligence (AI) is transforming the field of digestive surgery, offering significant advancements in diagnostic accuracy, surgical precision, and perioperative management. Technologies such as machine learning (ML) and deep learning (DL) enhance surgical outcomes by identifying complex patterns in data, supporting real-time decision-making, and improving personalized patient care. This study aims to systematically evaluate the current applications, challenges, and future potential of AI-powered innovations in digestive surgery. A systematic literature review was conducted following PRISMA guidelines. The search utilized databases including Scopus, PubMed, Google Scholar, Crossref, and Web of Science. Keywords like "artificial intelligence," "machine learning," "digestive surgery," and "surgical AI" yielded 3,285 articles. After applying inclusion criteria, 23 studies published between 2020 and 2024 were selected for narrative synthesis. The review highlights AI's applications in endoscopic procedures, achieving diagnostic accuracy up to 98% for early-stage cancers. AI-driven systems enhance intraoperative precision, particularly in laparoscopic and robotic surgeries, reducing complication risks and improving outcomes. Moreover, AI-based predictive models support perioperative management by optimizing surgical planning and postoperative care, demonstrating improved efficiency and patient safety. AI is reshaping digestive surgery by enabling better diagnostics, personalized treatment, and improved surgical outcomes. Despite challenges like data quality and ethical concerns, the continued evolution of AI technologies holds promise for further advancements in surgical practices and education
AI-Powered Innovations in Digestive Surgery: Current Evidence and Future Perspectives - A Systematic Literature Napitupulu, Rudi Pandapotan; Ardli, Ghaly Khaidar; Ramadhani, Muhammad Rizky; Dira, Neysa Ornella; Sari, Andini Kartika
Indonesian Health Journal Vol. 4 No. 1 (2025): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v4i1.677

Abstract

Artificial Intelligence (AI) is transforming the field of digestive surgery, offering significant advancements in diagnostic accuracy, surgical precision, and perioperative management. Technologies such as machine learning (ML) and deep learning (DL) enhance surgical outcomes by identifying complex patterns in data, supporting real-time decision-making, and improving personalized patient care. This study aims to systematically evaluate the current applications, challenges, and future potential of AI-powered innovations in digestive surgery. A systematic literature review was conducted following PRISMA guidelines. The search utilized databases including Scopus, PubMed, Google Scholar, Crossref, and Web of Science. Keywords like "artificial intelligence," "machine learning," "digestive surgery," and "surgical AI" yielded 3,285 articles. After applying inclusion criteria, 23 studies published between 2020 and 2024 were selected for narrative synthesis. The review highlights AI's applications in endoscopic procedures, achieving diagnostic accuracy up to 98% for early-stage cancers. AI-driven systems enhance intraoperative precision, particularly in laparoscopic and robotic surgeries, reducing complication risks and improving outcomes. Moreover, AI-based predictive models support perioperative management by optimizing surgical planning and postoperative care, demonstrating improved efficiency and patient safety. AI is reshaping digestive surgery by enabling better diagnostics, personalized treatment, and improved surgical outcomes. Despite challenges like data quality and ethical concerns, the continued evolution of AI technologies holds promise for further advancements in surgical practices and education
Co-Authors Ardli, Ghaly Khaidar Dira, Neysa Ornella Elizabeth, Sri Megawati Napitupulu, Rudi Pandapotan Ramadhani, Muhammad Rizky