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All Journal ABDI MASSA: Jurnal Pengabdian Nasional Indonesian Health Journal
Ramadhani, Muhammad Rizky
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Agriculture, Biological Sciences & Forestry Humanities Dentistry Economics, Econometrics & Finance Environmental Science Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

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EVALUASI PROGRAM BANTUAN DANA HIBAH PADA BIRO KESEJAHTERAAN RAKYAT SEKRETARIAT DAERAH PROVINSI JAWA TIMUR Murti, Indah; Ramadhani, Muhammad Rizky
ABDIMAS Vol 5 No 02 (2025): PENGABDIAN MASYARAKAT
Publisher : COMMUNITY OF RESEARCH LABORATORY SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69957/abdimass.v5i02.1999

Abstract

Dalam menghadapi dinamika sosial dan kebutuhan masyarakat saat ini, Pemerintah Jawa Timur memiliki peran yang signifikan dalam meningkatkan kesejahteraan masyarakat. Namun, sering kali organisasi-organisasi pemerintah mengalami kesulitan dalam mendapatkan dana untuk menjalankan program-program mereka. Oleh karena itu, Pemerintah Provinsi Jawa Timur melalui Biro Kesejahteraan Rakyat Sekretariat Provinsi memberikan dana hibah sebagai dukungan terhadap kegiatan organisasi masyarakat. Hibah adalah pemberian berupa uang, barang, atau jasa yang diberikan oleh Pemerintah atau Pemerintah Daerah dengan tujuan tertentu yang telah ditentukan. Dari Peraturan Dalam Negeri Nomor 23 Tahun 2011 dijelaskan bahwa Pemerintah daerah tidak hanya berperan sebagai penyalur dana hibah, tetapi juga sebagai penggerak pembangunan sosial berkelanjutan di Provinsi Jawa Timur. Dalam memberikan dana hibah dan bantuan sosial, pemerintah memperhatikan prinsip keadilan, kepatuhan, rasionalitas, transparansi, akuntabilitas, dan manfaat bagi Masyarakat. Evaluasi program bantuan dana hibah yang disalurkan oleh pemerintah provinsi Jawa Timur melalui Biro Kesejahteraan Rakyat mencakup analisis efektivitas dan efisiensi pelaksanaan program tersebut. Proses evaluasi ini dapat meliputi pengukuran pencapaian tujuan dan sasaran yang telah ditetapkan dalam program, serta identifikasi keberhasilan dan tantangan yang muncul selama pelaksanaannya. Rencana Strategis memungkinkan evaluasi kinerja pemerintah secara menyeluruh dengan menggunakan indikator kinerja yang telah ditentukan. Selain itu, Indikator Kinerja Utama juga memungkinkan penilaian kinerja individu atau pekerjaan dalam mencapai tujuan yang ditetapkan dalam kebijakan peningkatan kinerja.
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 Indah Murti, Indah Napitupulu, Rudi Pandapotan Sari, Andini Kartika