Wed, 05 Dec 2018 22:36:00 GMT forecasting methods and applications 3rd pdf PDF | On Jan 1, 1984, S ~G Makridakis and others published Forecasting: Methods and Applications Tue, 04 Dec 2018 23:06:00 GMT (PDF) Forecasting: Methods and Applications ResearchGate Forecasting: methods and applications. This book was published in 1998, and for nearly 20 years I maintained an associated website at this address. Fri, 30 Nov 2018 14:35:00 GMT Forecasting: methods and applications | Rob J Hyndman Prod 2100-2110 Forecasting Methods 2 1. Framework of planning decisions Let us first remember where the inventory control decisions may take place. Fri, 07 Dec 2018 14:13:00 GMT Forecasting Methods UCLouvain 2002 Forecasting: Methods and Applications Makridakis, ... this 3rd edition very wisely includes some more advanced forecasting methods such as dynamic regression, ... Sat, 01 Dec 2018 22:41:00 GMT 2002 Forecasting: Methods and Applications HEPHAESTUS Methods and Applications Third Edition Spyros Makridakis European Institute of Business ... major forecasting methods 516 The use of different forecasting Tue, 04 Dec 2018 22:37:00 GMT Methods and Applications Max Planck Society MATH6011: Forecasting â€œAll models are wrong, ... S.C. and Hyndman, R.J. 1998, Forecasting: Methods and Applications 3rd Ed., New York: Wiley as text book. Wed, 21 Nov 2018 17:31:00 GMT MATH6011: Forecasting University of Southampton Save As PDF Ebook forecasting methods and applications ... FOUR LAMAS OF DOLPO AUTOBIOGRAPHIES OF FOUR TIBETAN LAMAS INTRODUCTION AND TRANSLATIONS VOL I 3RD [PDF] Tue, 04 Dec 2018 19:10:00 GMT forecasting methods and applications makridakis pdf ... forecasting methods and applications 3rd ed Download forecasting methods and applications 3rd ed or read online books in PDF, EPUB, Tuebl, and Mobi Format. Thu, 06 Dec 2018 07:26:00 GMT forecasting methods and applications 3rd ed | Download ... INDUSTRIAL STATISTICS AND OPERATIONAL MANAGEMENT 6 : ... Some applications of forecasting ... Qualitative techniques in forecasting Time series methods Mon, 19 Nov 2018 11:49:00 GMT INDUSTRIAL STATISTICS AND OPERATIONAL MANAGEMENT 6 ... 3 Hierarchical forecasting 9 3 Advanced methods 9. Forecasting: principles and practice 7 Assumptions â€¢ This is not an introduction to R. I assume you are broadly ... Thu, 06 Dec 2018 22:49:00 GMT Forecasting: Principles & Practice, Rob J Hyndman, 2014 forecasting methods and applications 3rd ed Download forecasting methods and applications 3rd ed or read online here in PDF or EPUB. Please click button to get ... Mon, 03 Dec 2018 08:27:00 GMT Forecasting Methods And Applications 3rd Ed | Download ... Forecasting methods can be classified as qualitative or quantitative. ... practical applications. 15-4 Chapter 15 Time Series Analysis and Forecasting Fri, 07 Dec 2018 12:33:00 GMT PDF Time Series Analysis and Forecasting Cengage FORECASTING METHODS AND APPLICATIONS 3RD EDITION PDF READ Forecasting Methods And Applications 3rd Edition pdf. Download Forecasting Methods And Applications 3rd ... Sun, 11 Nov 2018 17:14:00 GMT Free Forecasting Methods And Applications 3rd Edition PDF Forecasting Methods and Applications. 3rd ed. New York: John Wiley & Sons, 1998. Sat, 08 Dec 2018 09:40:00 GMT Forecasting Methods and Applications Book Harvard ... Preface In preparing the manuscript for the third edition of Forecasting: methods and applications, one of our primary goals has been to make the book as complete and ... Wed, 05 Dec 2018

Forecasting methods and applications.

http://library.um.ac.id/free-contents/downloadpdf.php/buku/introduction-to-information-systems-essentials-for-the-e-business-enterprise-james-a-obrien-29717.pdf

Introduction to information systems : essentials for the e-Business Enterprise / James A. O'Brien

Finite State Machine (FSM)adalah sebuah metodologi perancangan sistem kontrol yang menggambarkan tingkah laku atau prinsip kerja sistem dengan menggunakan tiga hal berikut: State(Keadaan), Event(kejadian) dan action(aksi). Sebagai sebuah metodologi perancangan sistem kontrol, penerapan FSM telah banyak diterapkan pada perangkat lunak, khususnya pada game. Metode FSM dapat diterapkan untuk nilai-nilai batas perpindahan yang pasti dan sangat mudah diterapkan pada game “The Relationship”. Game ini merupakan sebuah game berbasis desktop genre petualangan dengan sub-genre simulasi dan menggunakan grafis 2 dimensi. Pengembangan game ini menggunakan tools Unity3D dan bahasa pemrograman C#(Sharp). Hasil dari penelitian ini adalah terealisasinya suatu game dengan menerapkan metode finite state machineuntuk menentukan respon karakter non-player characteryang berbeda tergantung dari interaksi yang dilakukan oleh pemain.

http://e-journals.unmul.ac.id/index.php/JIM/article/download/198/pdf

Penerapan Metode Finite State Machine Pada Game “The Relationship”

Along with the development of technology, the film industry continues to increase, this can be seen from the number of films that appear both in cinemas and tv shows. The Internet Movie Database (IMDb) is a website that provides information about films from around the world, including the people involved in the films. Information contained on IMDB such as actor/actress, director, writer, to the soundtrack used. In addition, IMDb is the most popular and trusted source of information for movies, TV, and other celebrity content. In this case, the researcher will conduct research on the film with what title is the most popular among the public by looking at some of the parameters contained in IMDB such as the number on the rating, score, certificate, and votes obtained from the audience. The data used comes from the Kaggle.com website. The data mining method used is the K-Means clustering method. To find out the optimal cluster value, the Davies Bouldin index is used. The K-Means algorithm will group the data based on the centroid. The parameters used for clustering are runtime, IMDB rating, meta score, number of votes, and gross. The results of the study obtained that the average calculation of the highest attributes was 48.74 and the number of clusters formed was 4 clusters. The results of the evaluation using the confusion matrix obtained an accuracy value of 100%.

Application of Data Mining with the K-Means Clustering Method and Davies Bouldin Index for Grouping IMDB Movies

Otomata adalah mesin abstrak yang dapat mengenali, menerima,  atau me’mbangkitkan sebuah kalimat dalam bahasa tertentu yang di dalamnya terdapat sebuah kajian tentang Finite State Automata yang dapat diimplementasikan dalam rancangan sebuah Vending Machine . Vending Machine di Indonesia banyak beroperasi dengan produk seperti makanan ringan, minuman, rokok, tiket, kopi,  produk konsumen, bahkan emas. Dalam penelitian ini, akan diuraikan mengenai aplikasi simulasi Vending Machine jamu tradisional, berdasarkan implementasi Finite State Automata . Kesimpulan yang didapat dalam penelitian ini yaitu Finite State Automata dapat dijadikan sebagai logika dasar untuk membuat simulasi Vending Machine . Penelitian ini juga mengusulkan penggunaan state yang lebih sedikit, penggunaan uang kertas sebagai input dan kembalian untuk meningkatkan efisiensi dan biaya desain Vending Machine .

/pdf/penerapan-konsep-finite-state-automata-pada-aplikasi-2yegiy8p9d.pdf

Penerapan Konsep Finite State Automata Pada Aplikasi Simulasi Vending Machine Jamu Tradisional

Pada teori bahasa dan automata menjelaskan tentang mesin-mesin abstrak yang mana didalamnya terdapat finite state automata yang bisa diimplementasikan kedalam vending machine. Vending machine untuk kota seperti Jakarta sudah bukan perihal sulit untuk menemukannya. Cara kerja secara operasional sudah banyak diketahui prosedurnya, namun perihal bagaimana cara kerjanya didalam mesin tersebut, masih belum banyak yang mengetahuinya, melalui simulasi ini diharapkan pengguna juga lebih paham akan hal itu

/pdf/simulasi-vending-machine-dengan-mengimplementasikan-finite-j0lecgocq2.pdf

Simulasi Vending Machine Dengan Mengimplementasikan Finite State Automata

Perkembangan industri telekomunikasi saat ini sangat pesat karena telekomunikasi sudah menjadi kebutuhan utama bagi masyarakat sehingga banyak perusahaan yang bergerak di industry telekomunikasi. Banyaknya industry Telekomunikasi menuntut para pengembang untuk menemukan strategi atau suatu pola yang dapat meningkatkan penjualan dan pemasaran produk, salah satu strateginya adalah dengan memanfaatkan data transaksi. Paket data merupakan produk dibidang telekomunikasi. Proses Clustering saat ini masih di lakukan secara manual sehingga membutuhkan waktu, proses perhitungan dan ketelitian yang tinggi. Pada penelitian ini dibuat aplikasi berbasis website dengan tujuan untuk mempermudah Clustering data sehingga dapat digunakan sebagai referensi dalam perencanaan promosi produk telkomsel ke berbagai daerah. Metode yang digunakan untuk mengatasi permasalahan tersebut yaitu metode Clustering dengan menggunakan Algoritma K-Means. Algoritma K-Means merupakan algoritma pengelompokkan sejumlah data menjadi menjadi kelompok-kelompok data tertentu. Pada penelitian ini data penjualan dikelompokkan menjadi 3 yaitu data penjualan rendah, data penjualan sedang dan data penjualan tinggi. Pengujian clustering dengan algoritma K-Means pada aplikasi terhadap data transaksi penjualan paket telkomsel diperoleh persentase kesesuaian yaitu 100% dibandingkan dengan clustering manual.

Implementasi data mining untuk menentukan tingkat penjualan paket data telkomsel menggunakan metode k-means clustering

Forecasting is a method to predict the future using data and the last information as a tool assist planning to be effective and efficient. Research aim to compare forecasting model for double exponential smoothing method and artificial using secondary data price of sugar in weekly by calculating the average price of sugar in seven traditional markets in Depok 2014 to 2016. The program statistics used zaitun time series. The result is using double exponential smoothing Brown Method the value a=0.6 Best model for artificial neural network using 12-8-1. The value of MSE produced by double exponential smoothing method of Brown is 403282 while the Artificial of Neural Network method 15341.2 The value of MAPE using double exponential smoothing method 1.12 while Artificial Neural Network is 0.74. The Conclusion that Artificial Neural Network method is more appropriate the predict forecasting average price of sugar in Depok.

Comparison Forecasting with Double Exponential Smoothing and Artificial Neural Network to Predict the Price of Sugar

Humans are facing a non-natural disaster that threatens the entire human population on Earth. Non-natural disaster is called Corona Virus Desease (COVID-19), which is a large family of viruses that can attack humans and animals that are currently a global pandemic. Humans usually cause respiratory infections, ranging from the common cold to serious illnesses such as MERS and SARS. COVID-19 itself is a new type of coronavirus found in humans and in the Wuhan area, Hubei Province, China in 2019. To assist medical staff in early detecting symptoms experienced by patients and facilitate the administration of hospital records, one of them was made an expert system that could detect this COVID-19 early with the Certainty Factor (CF) method. This expert system mimics similar symptoms experienced by COVID-19 patients and will be grouped into several patient statuses. Patients who experience serious symptoms will be grouped into Patients Under Supervision (PDP) and patients who are considered to have milder symptoms will be grouped into Insider Oversight status (ODP) while those who experience symptoms that are outside of the main symptoms will be classified into Non Suspect (NON) status . From 152 patient data inputted in this study, 114 ODP results with an average CF value of 91.38%, 36 PDP with an average CF value of 98.25% and 2 NONs with an average CF value of 40%. CF with system calculation experiments that represent patients get a CF value of 0.998848 or 99.88% to PDP. This expert system can be used to make decisions that can help medical personnel perform actions and administer better before conducting a through test in the laboratory to ensure positive or negative patients COVID-19

/pdf/implementasi-sistem-pakar-menggunakan-metode-certainty-3djidjpuej.pdf

Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19)

Face is a part of the body that can be detected. It makes face the basis of a detection system. The system can detect the object of face from an input image. The research develops the face detection system using Hidden Markov Model (HMM) method. The system is a computer technology allowing identification or verification of a person's face through an image. The workings of face detection system is by matching a face image with face image stored in file. Unlike the previous system that can only detect black-and-white pictures or images, the system created in this research is an update that can detect black-and-white and color pictures or images. This face detection system uses MATLAB software for its program and Guide MATLAB for its design. From the experiments and tests performed, the application can detect face image with success rate up to 95.9%. This proves the tool is quite good in face recognition or detection.

/pdf/deteksi-wajah-menggunakan-hidden-markov-model-hmm-berbasis-35t9egmcto.pdf

Fauziah Fauziah

Papers

Simulasi Vending Machine Dengan Mengimplementasikan Finite State Automata

Implementasi data mining untuk menentukan tingkat penjualan paket data telkomsel menggunakan metode k-means clustering

Comparison Forecasting with Double Exponential Smoothing and Artificial Neural Network to Predict the Price of Sugar

Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19)

Deteksi Wajah Menggunakan Hidden Markov Model (HMM) Berbasis Matlab