The document discusses artificial intelligence and its implementation using PHP. It begins with definitions of artificial intelligence and describes how AI works and common AI methods. It then provides examples of AI implementations in areas like fraud detection, text classification, and image processing. The document introduces PHP libraries that can be used to develop AI applications with PHP, such as PHP-ML and Rubix ML. It highlights various machine learning algorithms and features supported by these libraries and provides code demos. In the end, the document emphasizes that AI will not surpass human intelligence, which created it, and that human intelligence will also not surpass the intelligence of its creator, God.

1. Artificial Intelligence
dengan
PHP
Achmad Solichin | @achmatim
Jakarta, 12 Agustus 2020

2. Achmad Solichin
Dosen - Web Developer - Trainer
@achmatim Achmad Solichin achmatim@gmail.com
slideshare.net/achmatim http://achmatim.net
Universitas Budi Luhur, Jakarta

3. artificial intelligence
“the designing and building of intelligent agents that
receive percepts from the environment and take
actions that affect that environment”
Russel & Norvig, 2016 “Artificial Intelligence: A Modern Approach”

4. Artificial Intelligence
Acting
Humanly
Thinking
Humanly
Thinking
Rationally
Acting
Rationally

5. How AI Works

6. AI Methods

7. Examples of AI Implementation

8. Decision Support System (DSS) for Fraud Detection in Health
Insurance Claims Using Genetic Support Vector Machines (GSVMs)
Robert A. Sowah dkk, 2019
Artikel lengkap di https://doi.org/10.1155/2019/1432597

9. Examples of AI Implementation

11. Examples of AI Implementation

12. Artikel lengkap di https://doi.org/10.31937/ti.v12i1.1644

13. Examples of AI Implementation
Artikel dapat diunduh di http://dx.doi.org/10.21111/fij.v5i1.4007

14. Examples of AI Implementation
Unduh artikel selengkapnya di http://doi.org/10.11591/ijeecs.v11.i2.pp453-461

15. Examples of AI Implementation

16. AI dengan PHP ?

17. Rasmus Lerdorf
• Lahir tahun 1968 di Greenland, Denmark
• Mahasiswa Universitas Waterloo
• Rilis PHP pertama tahun 1995 (27 tahun)

18. Juni 1995 PHP 1.0 : Personal Home Page Tools (PHP Tools)
November 1997 PHP 2.0 : PHP/FI 2.0
Juni 1998 PHP 3.0 : PHP:Hypertext Preprocessor, oleh Zeev Suraski dan Andi
Gutmans (Zend)
Mei 2000 PHP 4.0 : Dengan Zend Engine
Juli 2004 PHP 5.0 : Dengan Zend Engine 2
PHP 6.0 tidak dirilis *mengapa?
Desember 2015 PHP 7.0 : Zend Engine 3
Sumber: https://w3techs.com/technologies/details/pl-php/all/all
79% website
menggunakan PHP
44.9% menggunakan PHP versi 5
54.7% menggunakan PHP versi 7

19. Open source Platform independent Extensions
High performance Reliable & secure Community support
Kelebihan PHP

20. AI dengan PHP ?

21. Fresh approach to Machine Learning in PHP.
Algorithms, Cross Validation, Neural Network,
Preprocessing, Feature Extraction and much more in
one library.
PHP-ML requires PHP >= 7.1.
Download at https://php-ml.readthedocs.io/en/latest

23.  Association rule Lerning: Apriori
 Classification: SVC, k-Nearest Neighbors, Naive Bayes
 Regression: Least Squares, SVR
 Clustering: k-Means, DBSCAN
 Metric: Accuracy, Confusion Matrix, Classification Report
 Workflow: Pipeline
 Neural Network: Multilayer Perceptron Classifier
 Cross Validation: Random Split, Stratified Random Split
 Feature Selection: Variance Threshold, SelectKBest
 Preprocessing: Normalization, Imputation missing values
 Feature Extraction: Token Count Vectorizer, Tf-idf Transformer
 Datasets: Iris, Wine, Glass

24. Classification Demo
with PHP-ML

25. A high-level machine learning and deep learning library
for the PHP language.
Developer-friendly API is delightful to use
40+ supervised and unsupervised learning algorithms
Support for ETL, preprocessing, and cross-validation
Open source and free to use commercially
Download at https://rubixml.com/

26. Check out these example projects using the Rubix ML
library. Most come with instructions and a pre-cleaned
dataset.
1. CIFAR-10 Image Recognizer
2. Color Clusterer
3. Credit Default Risk Predictor
4. Divorce Predictor
5. Dota 2 Game Outcome Predictor
6. Human Activity Recognizer
7. Housing Price Predictor
8. Iris Flower Classifier
9. MNIST Handwritten Digit Recognizer
10.Text Sentiment Analyzer

27. Saya percaya, AI tidak akan melebihi
kecerdasan manusia yang membuatnya,
sebagaimana saya percaya bahwa
kecerdasan manusia tidak akan melebihi
kecerdasan penciptanya,
Tuhan Yang Maha Esa
(Dr. Achmad Solichin, S.Kom., M.T.I)

28. Referensi
• https://crankwheel.com/how-to-build-a-highly-converting-
website-with-artificial-intelligence/
• https://intellipaat.com/blog/what-is-artificial-intelligence/
• https://www.researchgate.net/publication/325162420_Artificial_I
ntelligence_for_Diabetes_Management_and_Decision_Support
_Literature_Review
• https://php-ml.readthedocs.io/
• https://rubixml.com/
• Buku Pemrograman Web dengan PHP dan MySQL
• Beberapa gambar diambil melalui situs pencari Google.

29. Terima Kasih
@achmatim Achmad Solichin achmatim@gmail.com
slideshare.net/achmatim http://achmatim.net
Universitas Budi Luhur, Jakarta