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ANALISIS KOMPETENSI, BEBAN KERJA, DISIPLIN KERJA DAN LOYALITAS KARYAWAN Joko Irawan; Nur Wening; Natalia Ika Eristaria
Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Vol. 9 No. 1 (2022): Jurnal Riset Manajemen
Publisher : Program Magister Manajemen STIE Widya Wiwaha Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.854 KB) | DOI: 10.32477/jrm.v9i1.334

Abstract

The aims this study to analyse the competence, work load, work disiplince, and loyalty of permanent employees of conservation at Gembira Loka Zoo Yogyakarta type of the research is cuantitative descriptive research, the sampling technique of this reaearch is non probality sampling technique with the type of saturated sampling ( census ) of 36 respondent Whyle the analytical methode uses Descriptive Statistic by using means and mode analysis, the result of this study show that (1) the competence of permanent employees of conservation department at Gembira Looka Zoo Yogyakarta is in good criteria with a mean value of 3,99. (2) the work load of permanent employees of conservation department at Gembira Looka Zoo Yogyakarta is in good criteria with a mean value of 3,83. (3) the work diciplince of permanent employees of conservation department at Gembira Looka Zoo Yogyakarta is in good criteria with a mean value of 4,16. (4) the loyalty of permanent employees of conservation department at Gembira Looka Zoo Yogyakarta is in good criteria with a mean value of 4,15.
Determining the Best Work Behaviour of the Laboratory Head Using The Technique For Order Of Preference By Similarity To The Ideal Solution Evada Rustina; Hening Nakuloadi; Teguh Widodo; Nur Wening; Rianto Rianto
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 3 (2024): Juli
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i3.6089

Abstract

Vocational education is in high demand because it prepares students to be job-ready. In learning, it is more about work practices, internships, and in the laboratory than theory in class. Therefore, the existence of laboratories is essential in vocational schools. The research was conducted at the maritime school of SMK Putera Samodra, Yogyakarta, Indonesia, using the quantitative approach of the TOPSIS method to determine the best work behaviour performance from the head of the laboratory. Work behaviour assessment criteria include service orientation, integrity, commitment, discipline, and cooperation. According to the assessment results by the principal and 31 colleagues, the best work behaviour is that of the head of the merchant ship engineering laboratory. Overall, the best work behaviour analysis results can have a positive impact, such as recognition, improved leadership practices, and enhanced performance in all laboratories in vocational schools. Other potential implications of work behaviour research results for schools can be developing leadership with the best strategies, identifying areas for improvement, allocating more resources to laboratories, and the positive effects of leadership qualities on vocational schools.
Pemanfaatan Teknologi Informasi untuk Inovasi Motif, Diversifikasi Produk, dan Perluasan Jaringan Pasar pada Batik Nitik Kembangsore Rianto Rianto; Enny Itje Sela; Nur Wening
I-Com: Indonesian Community Journal Vol 4 No 4 (2024): I-Com: Indonesian Community Journal (Desember 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v4i4.5689

Abstract

Batik Nitik Kembangsore operates in the traditional batik industry, with unique and exclusive motifs. However, the current production is limited to jarit cloth with a relatively high price, resulting in low sales turnover due to the high selling price. This Community Partnership Program proposes a solution to overcome these challenges by diversifying products and creating contemporary batik motifs using artificial intelligence. Leonardo.ai's online tools will be used to design new motifs while maintaining the aesthetic value and philosophy of Batik Nitik Kembangsore. In addition, to strengthen the marketing and sales system, the website www.kembangsore.com will be developed as an integrated digital platform. With this strategy, it is hoped that Batik Nitik Kembangsore can expand its market reach, increase competitiveness, and reach broader consumers. This innovation supports the sustainability of the traditional batik industry and strengthens Batik Nitik Kembangsore's position in the modern market.
The Role of Religiosity on Investment Intention of Muslim Students in Sharia Bank Firial Dhya Salsabila; Nur Wening; Bambang Moertono, S.; Muhammad Rafi Dhiaulhaq
Journal of Social Science Vol. 4 No. 6 (2023): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jss.v4i6.639

Abstract

The purpose of this study was to examine how religiosity influences the intention to save Muslim students in Islamic banks. The research was conducted with a research population of students in Yogyakarta from several public and private universities. The sampling technique used accidental sampling and obtained 30 respondents. This study uses a data analysis method in the form of simple linear regression. The results of the study stated that there was no effect of student religiosity on interest in investing in Islamic banks. The value of the coefficient of determination (R2) = 0.017. This means that the variable interest in saving moeslim's students in Islamic banks is influenced by religiosity only by 1.7% while the remaining 98.3% is influenced by other variables not examined.
Decision Support System For Selecting The Best Employee: A Literature Review Widianta Widianta; Nur Wening
Oikonomia : Journal of Management Economics and Accounting Vol. 2 No. 3 (2025): Oikonomia - May
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/oikonomia.v2i3.335

Abstract

To achieve organizational goals effectively, human resources play a critical role. Selecting the best employees is essential to ensure optimal performance. However, conventional employee selection methods often rely on subjective judgments, leading to less accurate outcomes. Therefore, the use of a Decision Support System (DSS) or Sistem Pendukung Keputusan (SPK) is necessary to improve objectivity and efficiency in the selection process. This study adopts a literature review approach by analyzing various national and international journal articles related to the selection of the best employees. The purpose of this research is to identify the criteria commonly used in DSS/SPK for employee selection. Based on the analysis of the literature, it is concluded that the most effective systems incorporate three key aspects: quantitative (such as performance metrics or scores), qualitative (including attitude and behavior), and technical (skills and expertise related to the job). However, it is also found that many systems still face challenges in balancing all three criteria comprehensively. This highlights the need for a more integrated and holistic approach in developing DSS/SPK for employee selection to ensure that decisions are fair, measurable, and aligned with organizational needs.
Integration of the Internet of Things (IoT) in Renewable Energy Management Strategies to Increase the Competitiveness of Machine Companies in the Green Industry Era Anang Pribadi; Nur Wening
Maneggio Vol. 2 No. 5 (2025): OCTOBER-MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/jc5nsa54

Abstract

The changing business landscape over the past two decades has been marked by the accelerated adoption of digital technology, increasing environmental awareness, and the demand for sustainable business models. In this context, companies are required to not only compete effectively but also transform towards a Green Industry by leveraging renewable energy and Internet of Things (IoT) technology. Traditional management strategies such as SWOT, TOWS, and QSPM remain relevant, but their effectiveness increases significantly when combined with modern approaches such as Blue Ocean Strategy and supported by the use of real-time data from the IoT. The study showed that IoT implementation can improve operational efficiency, reduce machine downtime, strengthen supply chain management, and optimize renewable energy utilization, resulting in reduced carbon emissions and energy cost savings of up to 20%. Quantitative findings demonstrate a significant contribution of the integration of management strategies, IoT, and renewable energy to company performance with an R² value of 0.67, while qualitative interviews confirmed IoT's role as a catalyst for digital-green transformation. However, challenges such as initial investment costs, data security risks, and limited technical skills remain inhibiting factors. This study concludes that the integration of IoT with renewable energy and management strategies is a strategic foundation for increasing competitiveness while strengthening the legitimacy of corporate sustainability in the green industry era.
The Effect of Technical Competence on Employee Performance: A Systematic Literature Review Ernita Sulistyorini; Nur Wening
Edunity Kajian Ilmu Sosial dan Pendidikan Vol. 4 No. 6 (2025): Edunity: Social and Educational Studies
Publisher : PT Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/edunity.v4i6.407

Abstract

This study aims to explore the influence of technical competence on employee performance. This study uses the Systematic Literature Review (SLR) approach, which refers to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. In the midst of the dynamics of the ever-evolving world of work, technical competence is one of the key factors in supporting increased productivity and work effectiveness. With reference to the PRISMA guidelines, a total of 21 articles published between 2020 and 2025 were systematically reviewed. The articles come from a variety of sectors, including government, private, and education. The results of the study show that technical competence consistently has a positive and significant effect on employee performance. Employees with adequate technical skills tend to complete tasks faster, produce quality output, and are able to adapt to technological changes. In addition, some studies show that the influence of technical competence can be amplified by other factors such as motivation, leadership, and work discipline. These findings support the importance of developing technical competencies as an integral part of human resource management strategies. This research provides theoretical contributions in strengthening competency-based management models, as well as practical implications for organizations in designing employee performance training and evaluation.