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Buku Manajemen Bisnis merupakan panduan komprehensif yang merangkum prinsip-prinsip dasar manajemen bisnis yang esensial bagi pengusaha, manajer, akademisi, serta mahasiswa yang ingin mendalami dunia bisnis. Buku ini mengupas tuntas berbagai aspek penting dalam manajemen bisnis, mulai dari konsep dasar, perencanaan, pengorganisasian, kepemimpinan, hingga pengendalian dan evaluasi. Setiap bab disusun secara sistematis dan dilengkapi dengan contoh-contoh kasus yang relevan, memudahkan pembaca dalam memahami penerapan teori dalam situasi bisnis nyata. Bab awal buku ini memperkenalkan pengertian dan sejarah manajemen bisnis, menelusuri evolusi pemikiran manusia dari era pra-modern hingga pendeka...
Pada buku ini membahas tentang masalah yang sering terjadi di perusahaan 3PL yaitu penumpukan barang, yang dapat terjadi karena adanya perbadingan yang cukup signifikan antara barang masuk dan barang keluar dan membuat barang tersebut menjadi overload sehingga barang ditempatkan pada area stage atau lorong rak. Dengan terjadinya penumpukan barang dan penempatan barang yang tidak sesuai, itu dapat menggangu jalannya aktifitas lain. Dari permasalahan tersebut, maka diperlukan peramalan jumlah barang masuk dan barang keluar dikarenakan diperlukannya kesiapan dari pihak perusahaan. Hasil dari peramalan tersebut dapat digunakan pihak perusahaan 3PL untuk mempersiapkan pengelolaan kapasitas gudang yang dimiliki. Pada penelitian ini menggunakan metode Single Exponential Smoothing. Hasil perhitungan akan ditentukan keakuratannya menggunakan MAPE, nilai MAPE memiliki kriteria yang menjelaskan bahwa semakin kecil nilai MAPE maka nilai akurasi semakin baik.
The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to...
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for confidence intervals and bands; local polynomial regression; and form and asymptotic properties of linear smoothing splines.
First Published in 2009. Routledge is an imprint of Taylor & Francis, an informa company.
Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter...
School improvement, like motherhood, has many advocates. Everyone is for it, without having to campaign actively on its behalf. And just as the 100% of people who have had mothers think they know how mothering could be done better, so the (nearly) 100% of people who have been pupils in schools, or have even taught in or managed them, think they know how schools can be im proved. More precisely, they are sure that schools ought to be improved. The trouble is that they propose a staggering, conflicting range of methods of improving the schools, from ;'back to the woodshed" to teacher merit pay, a stiffer curriculum, a stronger tax base, reorganization, a more humane climate, "teacher-proof" in...