Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Journal of Health Sciences Literacy : International Scientific Journals of Social, Education, Humanities Return : Study of Management, Economic and Bussines Science Information System and Technology
Ahmad Zaelani Adnan
Institut Teknologi Petroleum Balongan
Humanities Computer Science & IT Economics, Econometrics & Finance Education Nursing Social Sciences

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Effect of Production Strategy Performance on Brand Royalty Endrixs Endrianto; Ahmad Zaelani Adnan; Ninin Asmiah; Lia Nurmeliani
Return : Study of Management, Economic and Bussines Vol. 1 No. 4 (2022): Return : Study of Management, Economic And Bussines
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (79.658 KB) | DOI: 10.57096/return.v1i4.56

Abstract

Background: Product strategy is a plan that identifies the goals and objectives of a product and then explains the vision to achieve those goals. This helps to relate the vision of the project with the actual methods used to implement it. Product strategy maps out key benchmarks for creating, marketing, and distributing any concept you plan to sell. Aim: The purpose of this study is to determine the effect of production strategy performance on brand royalty in companies and restaurants. Method: The sample used in this study can be determined using the infinite sample formula, with a 95% confidence level and a 10% error level, the sample used in this study was 100 people as respondents. The sampling technique in this study is non probability sampling with the Purposive Sampling. Findings: They also provide a central plan that people across the business can refer to to guide their efforts and fine-tune their overall business strategy. Business in the food sector is a potential business at this time. Factors that need to be considered in facing competition in the restaurant business include products and prices. If these two factors are getting better and more attractive, it can make customers feel satisfied, if customers feel satisfied, they will be loyal to the restaurant
Occupational Health Programs at PT. Barata Indonesia Cilegon Endrixs Endrianto; Ahmad Zaelani Adnan; Ninin Asminah
Jurnal Ilmiah Kesehatan Vol 16 No 02 (2023): Jurnal Ilmiah Kesehatan (Journal of Health Science) 
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/jhs.v16i02.3665

Abstract

Occupational health is a specific part of the health perspective focusing more on improving the quality of the workforce through implementing health efforts. This paper describes the occupational health programs in the Limited Liability Company (here and after called PT) Barata Indonesia Cilegon. This study was qualitative research using field observation and literature studies. The population was all workers at PT. Barata Indonesia, Cilegon, Banten Province. The data collection technique used was field observation. Then, the author descriptively examined occupational health programs using literature from theory, laws and regulations, ministerial regulations, and ministerial decrees. The results showed that the implementation of occupational health programs at PT Barata Indonesia Cilegon, among others, checking canteen facilities, medical checks up, gymnastics, giving Extra Fooding, HIPERKES, HIV/AIDS prevention policies, COVID-19 regulations, and a work environment that meets occupational hygiene and health requirements. In conclusion, PT Barata Indonesia Cilegon is very concerned about the occupational health of its workers. Therefore, PT Barata Indonesia Cilegon runs occupational health programs. PT Barata has made occupational health procedures so that they can be carried out following written procedures. The implementation of occupational health programs at PT Barata Indonesia Cilegon has been going well following the Republic of Indonesia Government Regulation Num. 88 of 2019 concerning occupational health.
Use of Artificial Intelligence in Operational Efficiency and Business Management Strategic Loso Judijanto; Ahmad Zaelani Adnan; Gilang Pranajasakti; Arnes Yuli Vandika; Wahyuni Sri Astutik
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1533

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology, reshaping operational efficiencies and strategic business management across industries. This study employs a bibliometric analysis using VOSviewer to explore the intellectual structure, global collaboration, and thematic trends in AI research from 2000 to 2024. The findings reveal AI’s pivotal role in enhancing operational processes, particularly in cost reduction, efficiency improvement, and data-driven decision-making. Furthermore, AI’s integration into diverse fields such as healthcare, energy management, and cybersecurity underscores its multidisciplinary impact. The visualizations highlight the strong global collaboration among nations, with China, India, and the United States as major contributors to AI research. Despite these advancements, challenges such as ethical concerns, data privacy, and workforce displacement persist. This study emphasizes the need for ethical frameworks, workforce reskilling, and robust international cooperation to maximize AI's benefits while mitigating its challenges. By mapping current trends and identifying future directions, this research contributes to a deeper understanding of AI’s transformative potential in operational and strategic domains.
The Role of Algorithms in Improving the Accuracy of Intelligent Employee Selection in Human Resource Management at PT. Rasaki Logam Makmur Bandung Granit Agustina; Rudi Suprianto Ahmadi; Herni Suryani Apandi; Feby Febrian; Ahmad Zaelani Adnan
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 5 No. 1 (2026): April : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v5i1.3548

Abstract

This study aims to examine the efforts of algorithms to improve the accuracy of intelligent employee selection in Human Resource Management (HRM) at PT. Rasaki Logam Makmur Bandung. Using qualitative research methods, this study identified that algorithms can improve employee selection accuracy by analyzing broader data and discovering ways unknown to humans. High employee quality can improve employee and organizational performance. Good productivity satisfaction can increase work quality and reduce errors. Good employee performance can increase productivity satisfaction and reduce stress. Good selection accuracy can improve employee and organizational performance by selecting the most suitable employees for available positions. Intelligent employee selection can improve the quality of selected employees and reduce selection errors. The results show that the use of algorithms can improve employee quality, job satisfaction, and employee performance. This study also developed an algorithm-based intelligent employee selection model that can improve the effectiveness and efficiency of employee selection methods. The algorithm can be used as an intelligent employee selection engine by analyzing candidate data and predicting their suitability for available positions. This study adds impetus to the development of HRM theory and practice, and provides recommendations for companies to improve employee quality through the use of algorithms in the employee selection process. It can serve as a reference for companies and HRM practitioners to improve employee quality through the use of algorithms in the employee selection process. Therefore, companies need to pay attention to these factors in the employee selection process to improve employee quality and performance. By using an intelligent, algorithm-based employee selection model, companies can increase the effectiveness and efficiency of their employee selection process and select the most suitable candidates for available positions.
Co-Authors Ahmadi, Rudi Suprianto Arnes Yuli Vandika Endrixs Endrianto Febrian, Feby Gilang Pranajasakti Granit Agustina Herni Suryani Apandi Lia Nurmeliani Loso Judijanto Ninin Asmiah Ninin Asminah Wahyuni Sri Astutik