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"use strict"; | |
/** | |
* @author Defri Indra Mahardika | |
* @since 2024 | |
* Converter CSV to Table HTML | |
*/ | |
class Csv2Table { | |
_elementId = null; | |
_source = null; |
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<!-- program html, pada dasarnya harus diawali dengan <html> --> | |
<!-- dan diakhir dengan </html> --> | |
<!-- untuk merepresentasikan bahwa program yang sedang dibuat adalah program html --> | |
<html> | |
<!-- head berfungsi untuk mengatur informasi terkait halaman --> | |
<!-- biasanya digunakan ketika optimasi SEO --> | |
<!-- referensi: https://thohirdev.com/tutorial/belajar-tag-head-pada-html/#:~:text=tag%20head%20adalah%20informasi%20yang,head%3E%20sebagai%20penutup%20tag%20head. --> | |
<head> | |
<!-- memberikan judul pada tab --> |
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<?php | |
namespace App\Helpers; | |
use Illuminate\Database\Eloquent\Collection; | |
class DecisionTreeClassifier | |
{ | |
protected Collection $dataFrame; | |
protected array $predict; |
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#!/usr/bin/env php | |
<?php | |
/** | |
* WHAT IT IS: | |
* Tool untuk memindahkan file yang berubah pada suatu commit, untuk mempermudah upload file. | |
* HOW TO USE : | |
* ./mover [commit_start] [commit_end] | |
*/ |
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<?php | |
abstract class BangunDatar_Defri { | |
abstract function luas(); | |
abstract function keliling(); | |
} | |
/** |
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{ | |
"info": { | |
"_postman_id": "df44f797-e00e-45ce-a01d-8bde6431ec9e", | |
"name": "2023-POS-Haidar", | |
"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json", | |
"_exporter_id": "8432050" | |
}, | |
"item": [ | |
{ | |
"name": "Auth", |
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<?php | |
class extractor extends CI_Controller | |
{ | |
private $workflow = false; | |
private $exception_ucwords = ["oa_helper"]; | |
private $sanitized = ["'", '"', ",", " ", ";", "(", ")"]; | |
public function getRealpath($type, $name) | |
{ |
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Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-1 = 73.33333333333333 | |
recall = 11 / (11 + 2) = 0.8461538461538461 | |
precition = 11 / (11 + 2) = 0.8461538461538461 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.8461538461538461 | |
-------------------- | |
Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-2 = 26.666666666666668 |
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import numpy as np | |
from sklearn.feature_extraction.text import CountVectorizer | |
from sklearn.naive_bayes import MultinomialNB | |
import mysql.connector | |
# Konfigurasi koneksi ke database MySQL | |
config = { | |
'user': 'root', | |
'password': '', | |
'host': 'localhost', |
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SELECT t.nama_tim as Nama_Tim, u.fullname as Nama, d.nama_dosen as Dosen, t.total_anggota as total, u.email as Email, p.politeknik as politeknik | |
FROM tim as t | |
INNER JOIN users as u ON t.users_id = u.id | |
INNER JOIN politeknik as p ON p.id = t.politeknik_id | |
INNER JOIN dosen_pembimbing as d ON d.id = t.dosen_id | |
WHERE t.kategori_id = 1 AND status_approved = 2 AND t.users_id =u.id |
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