Pakistan is a developing country under severe pressure to provide efficient and effective healthcare to its population owing to inadequate financial and human resources and limited management capabilities. This study explores the role and practice of human resource management (HRM) in three Pakistani public teaching tertiary hospitals. We interviewed leaders and managers in these hospitals to gain a better understanding of the context, challenges and opportunities for HRM. Our thematic analysis revealed that a lack of specialised human resource (HR) departments staffed by HR professionals in these hospitals negatively impacted HRM functions and practices and created confusion and complexity. This was exacerbated by centralised decision-making at the provincial level and limited managerial autonomy over key HR issues. However, despite the enormous challenges facing the Pakistani public healthcare sector the informants believed that HR could play a significant role in influencing employees' attitudes and behaviours to provide quality healthcare to more patients.

The k-Means Clustering algorithm is intended to partition data into one or more groups, where data that has similarities in one group and data has differences in another. Information and Communication Technology (ICT) Competency data clustering in educational units is considered necessary to facilitate educational facilitation based on the differences in student abilities, determine advanced ICT guidance groups and become a reference in determining the place of Industrial Work Practices (Prakerin). This study aims to find out how the K-Means Clustering algorithm can be applied in clustering the ICT competencies of students at the State Vocational High School (SMK) 3 Lhokseumawe. The benefits generated in this study are in the form of visualization of data clustering that can help teachers and school management in formulating ICT policies at SMKN 3 Lhokseumawe. The data used in this study is the Information and Communication Technology (ICT) competency test score data for the 2021/2022 academic year. The data was obtained through a competency test process that refers to the Minister of Education and Culture Regulation Number 45 of 2015 concerning the Role of ICT/KKPI Teachers in the Implementation of the 2013 Curriculum where ICT competence includes the skills to search, store, process, present and disseminate data and information. Data processing in this study uses the K-means Clustering method and the RapidMiner application. Data processing using the RapidMiner application starts with data preparation, determining the number of clusters, and configuring the method. This study uses 3 (three) cluster configurations, namely the Very Competent, Competent, and Less Competent clusters. Testing data processing using the RapidMiner application resulted in 80 (eighty) students in cluster_0 with a Very Competent rating, 64 (sixty-four) students in cluster_1 with a Competent rating, and 10 (ten) students in cluster_2 with a Less Competent rating.

No abstract

This study aims to determine the effect of economic growth, unemployment, and inflation on the poverty rate in Indonesia. This study uses secondary data taken from 1998 to 2018 accessed on www.bps.go.id. The data analysis method used is the Vector Error Correction Model (VECM) method. The results show that economic growth has no significant effect on the poverty rate, the unemployment rate positively and significantly influences the poverty rate, and inflation has a positive and significant effect on the poverty rate in the short-term. In the long-term, inflation does not significantly influence the poverty rate. Then using the Granger Causality test show that economic growth and poverty have no reciprocal relationship, and ployment and poverty do not have a reciprocal relationship, but only have a one-way relationship, while inflation and poverty have a reciprocal or two-way relationship. It is expected that the Government of Indonesia will be able to find effective solutions to solve the problem of poverty in Indonesia. Keywords: Economic growth, unemployment rate, inflation, poverty level, VECM.

Penelitian ini membahas tentang analisis perbandingan kekuatan tarik hasil pengelasan gesek logam similar monel dengan raw metal monel tanpa pengelasan. Penelitian dilakukan dengan eksperimen uji tarik pada dua spesimen yang terdiri dari 1 spesimen raw metal monel tanpa pengelasan dan 1 spesimen hasil pengelasan gesek logam similar monel. Pengelasan gesek dilakukan dengan menggunakan mesin bubut yang telah dimodifikasi pada putaran 1600 rpm dan beban gesek sebesar 10 kg. Bentuk spesimen dibubut sesuai standar ASTM A 370-07a dan selanjutnya dilakukan pengujian tarik. Diperoleh hasil tegangan tarik maksimal pada spesimen hasil pengelasan gesek logam similar monel sebesar 406.108 MPa, regangan sebesar 5.0%, dan modulus elastisitas sebesar 8.12 GPa. Sedangkan tegangan tarik maksimal spesimen logam monel tanpa pengelasan gesek yaitu sebesar 1025.957 MPa, regangan sebesar 27.5%, dan modulus elastisitas sebesar 3.73 GPa. Proses penyambungan monel dengan pengelasan gesek belum layak untuk digunakan kembali, karena kekuatan tariknya yang kurang dari setengah dari kekuatan tarik logam monel raw metal tanpa pengelasan.