Yayasan Riset dan Pengembangan Intelektual (YRPI) Journal
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Pengaruh Human Capital Terhadap Kinerja Pegawai Pada Dinas Sosial Toraja Utara
Get PDFPenelitian ini bertujuan untuk mengetahu bagaimana pengaruh human capital, kompetensi terhadap kinerja pegawai pada dinas sosial Toraja Utara. Metode yang digunakan dalam penelitian ini adalah metode penelitian kuantitatif, karena data Pengaruh Human Capital, Kompetensi terhadap Kinerja Pegawai Pada Dinas Sosial Toraja Utara yang diperoleh berupa data kuantitatif. Populasi adalah wilayah generalisasi yang terdiri atas obyek atau subyek yang mempunyai kualitas dan karakteristik tertentu yang ditetapkan oleh peneliti untuk mempelajari dan kemudian ditarik kesimpulan. Populasi dalam penelitian ini yaitu segawai di Dinas Sosial Toraja Utara. Sampel adalah bagian dari jumlah dan karakteristik yang dimiliki oleh populasi tersebut. Sedangkan ukuran sampel merupakan suatu langkah untuk menentukan besarnya sampel yang diambil dalam melaksanakan suatu penelitian. Hasil berupa Pengaruh Human Capital Terhadap Kinerja Pegawai Pada Dinas Sosial Toraja Utara. Berdasarkan pada data yang telah dikumpulkan dan telah dilakukan pengujian dengan mengggunakan model regresi liner berganda, maka dapat disimpulan bahwa Human Capital mempunyai pengaruh yang signifikan terhadap Kinerja Pegawai pada Dinas Sosial Toraja Utara serta sebesar 84,9% variabel kinerja dapat dijelaskan oleh variabel Human Capital. Sedangkan 15,1% lainnya dijelaskan oleh variabel lain yang tidak termasuk dalam penelitian ini
Performance Improvement of Quality Monitoring Systems in Imbalanced Data Conditions for Fat-Filled Powder Quality in The Dairy Industry
No full textFat-filled powder has the potential to substitute milk in meeting the nutritional needs of the community, but its product quality remains unstable during continuous production processes. A key challenge in fat-filled powder (FFP) production is the difficulty in quality monitoring, which is influenced by various uncertainty factors that affect product quality. Machine learning can be implemented for quality monitoring system, but the imbalanced data conditions require the development of algorithms with optimal performance. This study aims to design a quality monitoring system for FFP using a machine learning model under imbalanced dataset conditions and the influence of other uncertainty factors. A Random Forest (RF) machine learning model was developed for monitoring FFP quality. In the context of imbalanced datasets, the model was optimized through various scenarios, including data splitting for training and testing, as well as the Synthetic Minority Oversampling Technique (SMOTE) and Distribution Optimally Balanced – Stratified Cross Validation (DOB-SCV) schemes. The results showed that the SMOTE model achieved the best performance in terms of accuracy, precision, and recall with scores of 99.67%, 99.79%, and 99.24%, respectively, on the testing data. Statistically, the RF model with the SMOTE data manipulation scenario also showed significant differences compared to the DOB-SCV model and the traditional data splitting approach. The quality monitoring model for FFP developed in this study can be implemented in the dairy industry, offering more stable, accurate quality monitoring predictions that align with real conditions, helping to avoid quality uncertainties during the production process. The implementation of this model in the industry has the potential to facilitate a broader, more transparent, and optimized product quality evaluation process, which can also be conducted in real time under continuous production conditions
Ergonomic Study in Developing The Organizational Culture to Improve SME's Performance
No full textIn industrial companies, both large and small-scale, performance is the main indicator of organizational success. Optimal performance can be achieved if the organization implements a healthy and effective organizational culture. On the contrary, an improper organizational culture can lead to conflicts between employees and stakeholders. Conflicts often arise that can cause work discomfort. The impact is to reduce work morale, negatively impacting performance and leading to a decline. Therefore, organizations need to build a culture that considers the human factor. One approach that can be applied is the concept of ergonomics, which integrates physical, cognitive, and organizational aspects to create a comfortable work environment so that employees can work healthily and effectively. This study aims to analyze the role of ergonomics on organizational culture and its implications in improving worker performance in the SME environment. This study uses a quantitative approach, supported by field observations and structured interviews with workers and managers of SMEs. Data analysis was carried out using the Structural Equation Modeling (SEM) method. The results of the study show that ergonomic aspects that have a significant effect on the formation of organizational culture with a loading factor value greater than 0.7 include physical ergonomics through workload variables (with work duration indicators), work environment variables (with temperature, humidity, lighting, and noise indicators), and equipment and equipment variables (with indicators of tool and machine design conditions, cognitive ergonomics (with indicators of perception, logical reasoning, and working relationships); and organizational ergonomics through work system design variables (with communication indicators and task variations) and work organization variables (with organizational structure indicators). These findings confirm that improving ergonomics not only creates a healthier and more efficient work environment but also strengthens organizational cultural values, which ultimately positively impacts the overall performance of SME
Enhancing Cybersecurity Threat Detection Using Machine Learning: A Comprehensive Review
No full textCybersecurity forms the backbone of digital infrastructure that protects overstretched payment systems, governmental operations, and business continuity today. With machine learning (ML) techniques, it can help analyze a large amount of data and improve cyber-security. It’s tough to quantify how effective the ML-based cybersecurity system is, especially when we theorize it. This review paper talks about the significant role of ML in security, threat detection and security measures. Using machine learning algorithms helps in cybersecurity as they make the system automatic and fast. We can implement a threat detection security model using widely used ML algorithms. For classification purposes, we have Support Vector Machines (SVM), Decision Trees (DT), Random forests (RF), and Adaptive and Extreme gradient boosting (XGBoost). This review paper proposes ML algorithms for the implementation of cybersecurity with some practical application demonstrations. Machine learning algorithms can provide valuable analytics to help bolster security and reduce threats. We assess the accuracy of threat detection in network security by utilizing a set of formulas based on confusion, recall, F1-score, time complexity, accuracy and precision. This review synthesizes algorithmic performance across benchmark datasets (CICIDS2017 NSL-KDD UNSW-NB15) to identify significant gaps in previous ML-based cybersecurity frameworks. The results demonstrate the superior precision (90. 8 percent) and scalability of XGBoost
Fostering Innovative Work Behavior Through Ethical Leadership and Organizational Culture: The Mediating Role of Job Satisfaction
No full textThis study aims to examine the effect of ethical leadership style and organizational culture on employees’ innovative work behavior, with job satisfaction as a mediating variable. The research is grounded in the growing need for moral leadership and a supportive work culture to enhance organizational competitiveness amid rapid environmental changes. A quantitative approach with a survey method was employed, involving 76 employees of the UPTD Jagir Community Health Center in Surabaya City. Data were analyzed using the Structural Equation Modeling (SEM) technique with the assistance of SmartPLS software. The findings reveal that both ethical leadership style and organizational culture have a significant positive effect on employees’ innovative work behavior. Furthermore, job satisfaction plays a significant mediating role in the relationship between ethical leadership style, organizational culture, and innovative work behavior. These results indicate that employees’ innovative behavior is not only shaped by ethical leadership and organizational culture but is also strongly influenced by their level of job satisfaction. The study provides practical implications for organizational management, emphasizing the importance of strengthening ethical values in leadership and cultivating a work culture that fosters creativity and job satisfaction
Adapting Traditional Communication Through Banner Design: The Role of Village Government Media in the Digital Disruption Era
No full textWerdhi Bhuwana Village, located in Mengwi District, Badung Regency, serves as an example of a rural community in Badung that continues to rely on conventional media such as banners and billboards as visual communication tools to disseminate information to its residents. The use of billboards in strategic locations—such as in front of the village office, at major intersections, and in other public spaces—remains common and serves as a primary medium for conveying information about village programs and governmental achievements. This phenomenon indicates that, despite the rapid development and dominance of digital media, printed visual media such as banners have not been entirely replaced. This situation calls for concrete and measurable solutions from the Werdhi Bhuwana Village Government. By implementing the solutions proposed in this study, it is expected that banners will not only persist but also improve in effectiveness and relevance as modern communication tools amidst the current digital disruption. This research employs a descriptive qualitative approach, chosen to provide an in-depth and contextual understanding of the existence and effectiveness of banner (billboard) design utilized by the Werdhi Bhuwana Village Government as an information medium for the community
Analysis of Factors Affecting Company Value with Dividend Policy as an Intervening Variable in Companies Listed on IDX80 Indonesia Stock Exchange
No full textThis study aims to analyze the influence of intellectual capital, good corporate governance , and dividend policy on profitability and firm value, and to examine the role of profitability as a mediating variable in this relationship. The study sample consisted of 42 companies selected using purposive sampling from a total of 80 companies in the population. Data analysis was conducted using SEM-PLS operated by SmartPLS 3.0. The results show that intellectual capital has a positive and significant effect on profitability, while good corporate governance and dividend policy have no positive and insignificant effects on profitability. Furthermore, intellectual capital and dividend policy have a positive and significant effect on firm value, while good corporate governance does not have a positive and significant effect on firm value. Profitability is proven to mediate the effect of intellectual capital on firm value, but does not mediate the effect of good corporate governance and dividend policy on firm valu
The Competency Development of Fishery Product Market Analyst at the Directorate General of Product Competitiveness, Ministry of Marine Affairs and Fisheries Republic of Indonesia
No full textThis study aimed to analyze the factors that influence the competency development of Fishery Product Market Analysts (APHP) and formulate a competency development model appropriate for the competency development of APHP at the Directorate General of Product Competitiveness, Ministry of Marine Affairs and Fisheries. This study was conducted using a qualitative approach and case study method. The data collection techniques used were interviews and document reviews. The study’s results indicate that several factors influence the suboptimal competency development of APHP. First, the Human Capital Development Plan (HCDP) for employees within the Directorate General of Product Competitiveness, including the APHP, has not been completed. Second, the commitment of the APHP team to prepare APHP training learning tools is not yet strong, mainly due to their busy schedules. Third, the coordination function is not yet strong, assuming that implementing competency development is only the responsibility of the Civil Service Training Center (Balai Diklat Aparatur). Based on the study’s results, the author formulated and recommended an APHP competency development model at the Directorate General of Product Competitiveness
Pengaruh Kompetensi Kerja, Disiplin Kerja dan Stres Kerja terhadap Kinerja Karyawan CV. Maju Bersama Kisaran
No full textMaju Bersama adalah distributor produk kebutuhan sehari-hari di Kisaran, menghadapi penurunan kinerja karyawan yang ditandai dengan menurunnya kualitas dan kuantitas hasil kerja, keterlambatan penyelesaian tugas, serta meningkatnya komplain pelanggan. Kondisi ini dipengaruhi oleh rendahnya kompetensi kerja akibat kurangnya pelatihan dan pengembangan keterampilan, menurunnya disiplin kerja seperti absensi dan keterlambatan, serta stres kerja yang tinggi karena beban dan target yang berat tanpa dukungan manajemen memadai. Faktorfaktor tersebut berdampak pada turunnya produktivitas, loyalitas, dan daya saing perusahaan dalam menghadapi persaingan pasar. Pendekatan penelitian ini menggunakan metode kuantitatif karena memiliki alur yang sistematis dan terstruktur dengan baik. Jenis penelitian yang diterapkan adalah penelitian kuantitatif dengan sifat kausal atau eksplanatori, yang bertujuan untuk menganalisis hubungan sebab-akibat antara dua variabel yang berbeda. Dalam penelitian ini, perubahan pada salah satu variabel bebas akan memengaruhi atau menyebabkan perubahan pada variabel terikat. Populasi dalam penelitian ini mencakup seluruh karyawan yang bekerja di CV. Maju Bersama Kisaran sebanyak 87 orang. Sehubungan dengan jumlah populasi yang berjumlah sebanyak 87 orang, maka teknik penentuan sampel menggunakan sampel jenuh dimana seluruh karyawan akan dijadikan sebagai sampel penelitian. Hasil penelitian menunjukkan bahwa Kompetensi Kerja berpengaruh terhadap Kinerja karyawan CV. Maju Bersama Kisaran, Disiplin Kerja berpengaruh terhadap Kinerja karyawan CV. Maju Bersama Kisaran, Stres Kerja berpengaruh terhadap Kinerja karyawan CV. Maju Bersama Kisaran, Kompetensi Kerja, Disiplin Kerja dan Stres Kerja berpengaruh terhadap Kinerja karyawan CV. Maju Bersama Kisaran
Analisis Pengaruh Upah Minimum, PDRB, Tingkat Pengangguran Terbuka, Dan Tingkat Kemiskinan Terhadap Kesejahteraan Masyarakat Di Kabupaten/Kota Daerah Istimewa Yogyakarta
No full textTujuan dari penelitian ini adalah untuk mengidentifikasi dan menganalisis berbagai faktor yang dapat mempengaruhi kesejahteraan masyarakat di berbagai kabupaten dan kota di Daerah Istimewa Yogyakarta (DIY). Penelitian ini menggunakan pengambilan data kuantitatif; analisis data panel dilakukan dari tahun 2017–2024. Data ini diperoleh dari jurnal, penelitian terdahulu, dan Badan Pusat Statistik (BPS). Dalam penelitian ini, data cross-section meliputi empat kabupaten dan satu kota di Daerah Istimewa Yogyakarta (DIY). Data time series diambil dari tahun 2017–2024. Pada penelitian ini, variabel dependen adalah Kesejahteraan Masyarakat, yang diukur dengan Indeks Pembangunan Manusia. Sedangkan variabel dependennya adalah Upah Minimum Kabupaten/Kota (UMK), Produk Dosmestik Regional Bruto (PDRB), Tingkat Pengangguran Terbuka (TPT), dan Tingkat Kemiskinan. Keempat variabel independen tersebut dihubungkan dengan Indeks Pembangunan Manusia Daerah Istimewa Yogyakarta. Penelitian ini juga diaharapkan dapat membantu pemerintah dalam meningkatkan kesejahteraan masyarakat DIY