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"Semakin meningkatnya angka kecelakaan kerja di Indonesia tentunya harus dapat menjadi perhatian terutama karena dapat meningkatkan pembayaran tunjangan kecelakaan kerja perusahaan yang berimplikasi kepada penurunan keuntungan. Tujuan dari penelitian ini adalah untuk menganalisis determinan dari tunjangan kecelakaan kerja berdasarkan pengendalian terhadap kecelakaan kerja pada industri manufaktur di Indonesia  dengan menggunakan jenis data panel pada rentang tahun 2010-2015 melalui pendekatan siklus bisnis, pasar tenaga kerja, karakteristik perusahaan serta kondisi fisik dan psikologi pekerja. penelitian ini membuktikan tunjangan kecelakaan kerja dipengaruhi secara negatif dan signifikan oleh program perlindungan pekerja, ukuran perusahaan serta berpengaruh positif dan signifikan terhadap jam kerja lembur dan upah. Adapun siklus bisnis berpengaruh negatif dan signifikan terhadap tunjangan kecelakaan kerja, salah satu kemungkinan penyebabnya yaitu pendeknya rentang waktu penelitian.

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Accident work increasing in Indonesia should get some attention, because its effect increasing a worker compensation that could affect firm profitability Goals of this research is to analyze determinant of compensation of industrial accident with controlling the amount of accident in manufacturing industry. With using panel data methods in 2010-2015, this research can prove that social worker program, firm size could impact negatively toward work accident compensation, wage and overtime wage impact positively to work accident compensation. Bussines cycle impact negative and significant to work accident compensation, this result is different from previous studies. Short time span of this research could be the major cause of the different result."

"ABSTRAKBelum adanya acuan perbandingan atau tolok ukur atas performa keuangan industri manufaktur di Indonesia merupakan salah satu kendala dalam menganalisa performa keuangan perusahaan manufaktur Indonesia dengan Iebih komparatif dan komprehensif. Di negara-negara industri maju, acuan yang berdasarkan rata-rata industri (industry average) telah banyak dipublikasikan oleh lembaga-Iembaga nirlaba seperti Securities and Exchange Commission (SEC) di Amerika Serikat. Tulisan ini bermaksud merancang prototype performa keuangan rata-rata yang dapat dipakai sebagai tolok ukur untuk perbandingan dan menganalisa performa keuangan usaha-usaha industri manufaktur yang lain.Sebagai model, rancangan prototype ini menggunakan 132 unit usaha industri manufaktur yang tercatat sebagai emiten di Bursa Efek Indonesia, sehingga selain terjamin kelayakannya, unit-unit usaha tersebut juga mempunyai data keuangan yang cukup lengkap. Masing-masing unit usaha terbagi ke dalam tiga kelompok industri manufaktur, yaitu: (I) Industri Dasar dan Kimia; (2) Aneka lndustri; dan (3) Industri Barang Konsumsi. Data keuangan yang digunakan adalah dari tahun 2004 sampai dengan tahun 2008.Dari beberapa unit usaha (emiten manufaktur) tersebut diambil yang memenuhi Syarat positif atas laba usaha (laba operasi), laba bersih, dan ekuitas (modal penyertaan) selama lima tahun periode pengamatan. Selanjutnya dihitung berbagai financial ratios yang mencakup lima kategori, yaitu: (1) Assets Utilization Ratios; (2) Liquidity Ratios; (3) Risk Measures atau Leverage Ratios; (4) Profitability Ratios; dan (5) Market Price Ratios. Hasil perhitungan dan pengolahan data menunjukkan bahwa dari 132 emiten manufaktur, terpilih 50 emiten manufaktur yang secara rata-rata mempunyai performa keuangan yang baik, sehingga layak untuk dibakukan menjadi ukuran perfonna yang unggul (standard industry average). Ukuran baku tersebut selanjutnya digunakan untuk menilai performa keuangan beberapa perusahaan pada masing-masing sektor manufaktur yang diteliti, apakah performa keuangannya relatif sama, berada di atas atau di bawah rata-rata industri.

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AbstractThe absence of a reference for financial performance of the Indonesia manufacturing industry is one constraint in analyzing the financial performance of Indonesia manufacturing firms comprehensively. In modern industry countries, known as standard industry average is published periodically by a non-profit organization such as the Securities and Exchange Commission (SEC) in the United States. This study is to design a prototype of standard financial performance of average industry in Indonesia, which can be used as a benchmark to compare with other manufacturing firms.The prototype is using 132 manufacturing companies listed in the Indonesia Stock Exchange as a model, considering that it produces financial reports of the companies which are proper, complete and available for some years. The manufacturing listed companies are categorized into three sectors: (1) Basic and Chemicals Industry; (2) Miscellaneous Industry; and (3) Consumer Goods Industry. Five years period financial data of 2004 to 2008 are used in the study.The study is started by selecting companies with positive value in operating income, net income, and equity for the tive years period. The financial ratios of each of the company are then calculated, included: (1) Assets Utilization Ratios; (2) Liquidity Ratios; (3) Risk Measures (Leverage Ratios); (4) Profitability Ratios; and (5) Market Price Ratios. The results showed that there are 50 manufacturing listed companies which can be elected and used as standard industry average, the financial ratios of each of which are calculated. The standard industry average then used to analyze the financial performance of some manufacturing companies, whether the performances are relatively the same, above or below the average."

"This book covers a variety of topics related to the Industry 4.0 concept, with a special emphasis on the efficiency of production processes and innovative solutions for smart factories. It describes tools supporting this concept in both the mechanical engineering and biomedical engineering field. The content is based on papers presented at the 6th International Scientific-Technical Conference MANUFACTURING 2019, held on 19-22 May 2019, in Poznan, Poland. Virtual reality, simulation of manufacturing systems, additive manufacturing, big data analysis, automation and application of artificial intelligence, as well as economic and social issues related to the integration of those technologies are just some of the topics discussed here. All in all, the book offers a timely and practice-oriented reference guide for researchers and practitioners, and is expected to foster better communication and closer cooperation between universities and their business and industrial partners."