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All Journal SEGMEN Jurnal Manajemen dan Bisnis Fokus Bisnis EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan EBBANK: Jurnal Ilmiah Bidang Ekonomi, Bisnis dan Perbankan Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen International Journal of Economics Development Research (IJEDR) Jurnal E-Bis: Ekonomi Bisnis International Journal of Business, Humanities, Education and Social Sciences (IJBHES) Journal of Social Science Solusi: Jurnal Kajian Ekonomi dan Bisnis Wiga : Jurnal Penelitian Ilmu Ekonomi Indonesian Community Journal Jurnal Ekonomi, Bisnis dan Manajemen Edunity: Kajian Ilmu Sosial dan Pendidikan Journal of Social Science Jurnal Indonesia Sosial Sains Journal of Social Science Jurnal Manajemen Kreatif dan Inovasi e-Jurnal Apresiasi Ekonomi International Journal of Economics, Business and Innovation Research Asian Journal of Management, Entrepreneurship and Social Science Oikonomia : Journal of Management Economics and Accounting Maneggio
Nur Wening
Universitas Teknologi Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Public Health Social Sciences Other

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Journal : Journal of Social Science

 1 
Decision Support System For Manager Placement In The Plantation Industry Using Topsis Method Teguh Widodo; Nur Wening; Rianto Rianto
Journal Of Social Science (JoSS) Vol 3 No 7 (2024): JOSS : Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v3i7.344

Abstract

Accuracy in placing employees determines the performance of a company. Likewise done by PT XYZ in determining the placement of managers in the plantation industry by using a decision support system. This is done in order to minimize the level of subjectivity of the manager placement determination system at PT XYZ. This research aims to provide alternative preference values to prospective employees who will occupy manager positions in the plantation industry. The method used in the placement of managers with a decision support system is the technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The criteria used in this method are 7 criteria taken based on the criteria for BUMN talent management according to the Regulation of the Minister of BUMN Number PER-3 / MBU / 03/2023, these criteria are Professional Work Period, Variety of Work Experience, Managerial Competence, Technical Competence, Educational Strata, Performance Assessment Results, Level of Punishment that has been received. The results of this study are from the results of the calculation analysis through the TOPSIS method on 7 alternatives, then there is name number 5 managed to get the best score of 0.80 and was determined as a preference to be placed in class A garden.
The Role of Artificial Intelligence for Medical Professionals in Indonesia: A Systematic Literature Review Sigit Ahmadi; Nur Wening
Journal Of Social Science (JoSS) Vol 4 No 4 (2025): JOSS: Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v4i4.437

Abstract

The development of Artificial Intelligence (AI) technology has brought significant transformation to the global healthcare system, including in Indonesia. This study aims to systematically examine the implementation and impact of AI on the performance of medical personnel in Indonesia through a systematic literature review approach. The research method follows the PRISMA protocol by analyzing scientific publications from 2019 to 2024 obtained from the Google Scholar, PubMed, ScienceDirect, and Indonesian Medical Journal databases. The results indicate that the application of AI has contributed positively to improving diagnostic accuracy (87.5%), healthcare service efficiency (82.3%), and clinical decision-making quality (85.2%). Nevertheless, this study also highlights significant challenges in the implementation of AI, such as limited digital infrastructure (65.4%), inadequate competence among health human resources (58.7%), concerns over data privacy and security, and the lack of comprehensive regulatory frameworks (52.3%), all of which hinder optimal integration. This study provides a scientific foundation for policymakers to develop regulations that support AI adaptation in healthcare while safeguarding ethical standards and patient safety. Additionally, the research offers practical insights for future studies to focus on overcoming technical, educational, and legal barriers, ensuring that AI integration advances equitable and sustainable healthcare services in Indonesia.
The Effect of Human Resources Training and Development on Increasing The Productivity of Fashion Sme Employees in Yogyakarta Krismatuningsih Krismatuningsih; Nur Wening
Journal Of Social Science (JoSS) Vol 4 No 5 (2025): JOSS: Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v4i5.460

Abstract

This study aims to find out and describe the influence of HR training and development on the productivity of Fashion SME employees in Yogyakarta. This study uses a quantitative method. Data collection was conducted using a questionnaire given to 133 employees of Fashion SMEs at random in Yogyakarta. The bound variable (Y) in this study is the productivity of SME employees in the city of Yogyakarta while the independent variable 1 (X1) is training and the independent variable 2 (X2) is human resource development. The results showed that the contribution of the influence of independent variables (X1 and X2) together to the dependent variable (Y) had a significant influence of 31.9%. Partially, the training variable has a strong influence on the productivity of Fashion SME employees in Yogyakarta while the human resource development variable has a strong influence.
Co-Authors Abdul Latip ADHIKA DEVI ARYANI Agung Hartadi Agustaria Kurniawati Akhirudin Akhirudin Anang Pribadi Asri Laksmi Riana Bambang Moertono Setiawan Bambang Moertono, S. Dhika Tri Septianawati Enny Itje Sela Erni Setyani Ernita Sulistyorini Evada Rustina Evada Rustina Firial Dhya Salsabila Hasian Syuhada Syahraputra Siregar Hening Nakuloadi Imam Muamar Kharisma irawan irawan Ivan, M.P. Brata Joko Irawan Joko Irawan Junaidi Krismatuningsih Krismatuningsih Lucia Ika Fitriastuti Mochamad Syarifudin Mohamad Irfatah Mugi Harsono Muhammad Rafi Dhiaulhaq Natalia Ika Eristaria Natalia Ika Eristaria Novita Widiastuti Novitasari Novitasari Rahmad Agus Dwianto Reinardus Dwi Prio C Rian Oktafiani Rianto Rianto Rieka Estuningtyas Salihah Khairawati Sigit Ahmadi Sri Basariah Sujoko Sukatin, Sukatin Sumarwanto Sumarwanto Teguh Widodo Teguh Widodo Tirmidi Ryan Habibulloh Tri Wakhyuni Tumarni Wahyu Suwaldi WIBOWO SETIYO NUGROHO Widianta Widianta Wijiharta Wijiharta Yohannes Vemberi