Isolasi dan Uji Antagonis Bakteri Asam Laktat dari Tape Pisang Kepok terhadap Escherichia coli

Isolation and Antagonist Test of Lactic Acid Bacteria from Fermented Kepok Banana against Escherichia coli

PERKEMBANGAN RAGAM HIAS DAN WARNA TENUN IKAT BANDAR KIDUL KOTA KEDIRI JAWA TIMUR

THE DEVELOPMENT OF DECORATIVE VARIETIES AND COLORS OF IKAT WEAVING BANDAR KIDUL IN KEDIRI CITY EAST JAVA

PEMBELAJARAN STEAM ROLL UP PENCIL CASE PADA MATERI TATA SURYA UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS PESERTA DIDIK SD

STEAM ROLL UP PENCIL CASE LEARNING ON SOLAR SYSTEM MATERIAL TO IMPROVE ELEMENTARY SCHOOL STUDENTS CRITICAL THINKING

PERBANDINGAN KLASIFIKASI HASIL INDEKS KEPUASAN MASYARAKAT TERHADAP UPT BALAI LATIHAN KERJA SURABAYA MENGGUNAKAN ALGORITMA DECISION TREE, RANDOM FOREST, K-NEAREST NEIGHBOR

Abtract – The evaluation of the results of the community statisfaction index towards the UPT Job Training Center Surabaya which was carried out by giving questionnaires to the community and training participants at UPT Job Training Center Surabaya, then the questionnaires file was submited to the Development dan Marketing Staff. However, the results of the questionaires which should be given to the Head Of Surabaya Job Training Center as an evaluation material for the UPT Job Training Center Surabaya is often just neglected and not processed further by the UPT Job Training Center Surabaya. So that the evaluation of the questionaires, especially on infrastructure through a sheet of paper, can be considered ineffective and not on target. To overcome the problems above, the author provides an alternative by utilizing the knwoledge gained during lectures using data mining techniques to predict community satisfation using a comparison method of 3 algorithms, namely Decision Tree, Random Forest, K-Nearest Neighbor. Classification is a technique in data mining to classify data based on data againts sample data. In study, the authors compare 3 classification techniques to classify community satisfaction responses in the dataset of UPT JobTraining Center Surabaya. The classification process begins with preprocessing the data ti remove mising values and select features in the dataset. At the evaluation stage, confusion matrix and K-fold cross validation techniques are used. After testing, it was found the classification results showed the best accuracy obtained by the Random Forest model obtaining an accuracy of 1.00, Decision Tree obtaining an accuracy of 0.91, and K-Nearest Neighbor 0.94.  Keywords : Comparison, Classification, data mining, Decision Tree, Random Forest, K-Nearest Neighbor

Profil Kemampuan Kinerja Praktikum Peserta Didik SMA pada Materi Optik Menggunakan Laboratorium Virtual PhET

Profile of High School Students Practicum Performance Ability on the Material Optics Using PhET Virtual Laboratory

EVALUASI PROGRAM BERKAS MLAKU DEWE (BMW) PADA PELAYANAN BIDANG ADMINISTRASI DI KECAMATAN SUKODONO KABUPATEN SIDOARJO

EVALUATION OF THE BERKAS MLAKU DEWE (BMW) PROGRAM IN ADMINISTRATIVE SERVICES IN SUKODONO DISTRICT, SIDOARJO REGENCY

TRANSITIVITY AND IDEOLOGY OF VERONICA KOMAN’S TWEETS DURING WEST PAPUAN UPROAR

TRANSITIVITY AND IDEOLOGY OF VERONICA KOMAN’S TWEETS DURING WEST PAPUAN UPROAR

PENGARUH KEAMANAN DAN KEBERSIHAN MAKANAN TERHADAP MINAT BELI KONSUMEN DI PASAR MALAM KOREM SURABAYA

THE INFLUENCE OF FOOD SAFETY AND FOOD HYGIENE ON CONSUMER PURCHASE INTENTION AT THE KOREM NIGHT MARKET SURABAYA

BENTUK DAN FUNGSI UJUNG MANTRA DALAM RITUAL BERSIH DESA DI DESA PAKEL KECAMATAN GUCIALIT KABUPATEN LUMAJANG

UJUNG MANTRA FORM AND FUNCTION THE CLEAN VILLAGE RITUAL IN THE VILLAGE PAKEL GUCIALIT DISTRICT LUMAJANG REGENCY

SISTEM PENGATURAN PID MOTOR DC SEBAGAI PENGGERAK MINI CONVEYOR BERBASIS MATLAB

PID CONTROL SYSTEM ON DC MOTOR AS MINI CONVEYOR DRIVE BASED ON MATLAB