Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAKIndustri pelayaran diketahui memiliki potensi atau resiko tinggi yang terkait dengan keselamatan. Dari data kecelakaan kapal yang terjadi di Indonesia dari tahun 2005 hingga 2018, berdasarkan data yang diambil dari Komite Nasional Kecelakaan Kapal (KNKT), penelitian ini mengembangkan model untuk metode pengambilan keputusan dengan pohon keputusan untuk memprediksi kemungkinan kecelakaan kapal fatal dan mengakibatkan kematian. Hasil dari pemodelan menunjukkan bahwa kecelakaan fatal dan kematian sebagian besar disebabkan oleh faktor teknis dan manusia, dan hanya beberapa kecelakaan yang terjadi di perairan yang disebabkan oleh cuaca buruk. Selain itu, jumlah kecelakaan kapal telah meningkat dalam 7 tahun terakhir. Persentase terbesar dari kecelakaan kapal ditempati oleh kapal penumpang.Sebagian besar kecelakaan kapal terjadi di Laut Jawa dan Selat Bangka.Dari uraian data dan model pohon keputusan yang telah dibuat, akan diukur tingkat risiko kecelakaan kapal. Hasil penelitian ini bermanfaat bagi pembuat kebijakan dalam mengusulkan strategi yang efisien untuk mencegah kecelakaan pengiriman fatal, juga untuk pemilik kapal, operator dan lembaga asuransi.

---

ABSTRACTThe shipping industry is known to have high potential or risk associated with safety. From ship accident data that happened in Indonesia from 2005 until 2018, based on the data taken from National Transportation Safety Comittee (NTSC), this study develops a model for decision making methods with a decision tree to predict the probability of fatal shipping accidents and corresponding mortalities. The model results show that both the fatal accidents and mortalities are mainly caused by technical and human factors, and only a few accidents occur in the waters caused by weathers. In addition, the number of ship accidents has increased in the past 7 years. The biggest portion of ship accidents is occupied by passenger ships. Mostly the ship accident occured in Java Sea and Bangka Strait.From the description of the data and the decision tree model that has been made, it will be measured the level of risk of ship accidents. The results of this study are beneficial for policy-makers in proposing efficient strategies to prevent fatal shipping accidents, also for ship owner, operator and insurance institution."

"Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research."

"Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations provides an encyclopedic coverage of the literature in the area of ranking and selection procedures, summarizing and surveying in a unified manner a majority of more than 600 main references in the bibliography. It also deals with related problems, such as the estimation of unknown ordered parameters. A separate chapter is devoted to information about several tables available in the literature for carrying out various specific procedures. Examples are given in another chapter illustrating applications of these procedures in various practical contexts. Although several books have appeared to date in this area, many of them deal with specific aspects of the field and a limited number of topics. This book contains substantial material not discussed in other books."

"Penelitian ini menganalisis pengaruh keputusan investasi (investment decision) dan keputusan pendanaan (financing decision) terhadap performa (performance) dan nilai (value) perusahaan industri jasa pelayaran di Indonesia. Economic Value Added (EVA) digunakan sebagai proksi pengukuran performa perusahaan dan Tobin’s Q (TOBIN-Q) digunakan sebagai proksi pengukuran nilai perusahaan. Penelitian ini menggunakan laporan keuangan seluruh perusahaan pelayaran yang terdaftar di Bursa Efek Indonesia (BEI) pada periode tahun 2016 sampai dengan tahun 2020. Analisis data dilakukan dengan menggunakan metode regresi data panel (panel data regression). Hasil analisis regresi tersebut kemudian dikonfirmasi lebih lanjut melalui wawancara online dengan 3 (tiga) orang narasumber dari 3 (tiga) perusahaan pelayaran Indonesia. Deskripsi statistik menunjukkan bahwa perusahaan pelayaran di Indonesia lebih mengandalkan utang bank sebagai sumber pendanaan utama. Hasil penelitian menunjukkan bahwa keputusan investasi, yang diukur dengan tingkat pertumbuhan aktiva tetap (Fixed Asset Growth, FAG), berdampak positif signifikan terhadap performa dan nilai perusahaan pelayaran di Indonesia. Hasil penelitian juga menunjukkan hubungan negatif signifikan antara nilai rata-rata tertimbang biaya modal (Weighted Average Cost of Capital, WACC) dengan performa dan nilai perusahaan. Lebih lanjut, perusahaan pelayaran Indonesia terindikasi kuat menyelaraskan investasi yang dilakukan dengan sumber pendanaannya, sehingga fleksibilitas pendanaan menjadi hal yang penting bagi perusahaan pelayaran Indonesia dalam memutuskan suatu investasi.

---

This paper analyses the impact of investment and financing decisions on the performance and value of Indonesian shipping companies. Economic Value Added (EVA) is used as the proxy to measure the company's performance and Tobin's Q (TOBIN-Q) is used to measure the company's value. This paper uses annual audited financial reports of all Indonesian shipping companies listed on the Indonesian Stock Exchange from the year 2016 to the year 2020. The data are analyzed using panel data regression and the main findings are confirmed further through online interviews with 3 (three) decision makers from 3 (three) listed Indonesian shipping companies. The statistical description shows that Indonesian shipping companies rely on bank loans as the primary financing source. Result shows that investment decision, as measured with Fixed Asset Growth (FAG), has a significantly positive relationship with the company’s performance and value. Result also finds a significantly negative relationship between the company’s Weighted Average Cost of Capital (WACC) and its performance and value. Furthermore, research finding strongly indicates that Indonesian shipping companies align their investments with their funding sources. Thus, flexible funding terms are important for Indonesian shipping companies in making investment decision."