ANALISIS YURIDIS PENYEBARAN INFORMASI KEBENCIAN SARA DALAM UU ITE SETELAH PUTUSAN MK NOMOR 76/PUU-XV/2017 DIKAITKAN DENGAN KUHP  

JURIDICAL ANALYSIS OF THE DISTRIBUTION OF SARA HATE INFORMATION IN THE ITE LAW AFTER THE VICTION OF THE MK NUMBER 76 / PUU-XV / 2017 RELATED TO THE KUHP

Pengajaran Strategi Meringkas dalam Pembelajaran Membaca Teks Eksposisi Analitis untuk Siswa Kelas 11 di SMK

The Instruction of Summarizing Strategy in Teaching of Reading Analytical Exposition Text for Eleventh Grader Students at Vocational High School

Pengaruh Komunikasi Interpersonal Antara Dosen dan Mahasiswa Terhadap Prestasi Akademik Mahasiswa di Jurusan Manajemen Pendidikan Fakultas Ilmu Pendidikan Universitas Negeri Surabaya

The influence of Interpersonal communication between lecturers and students of students academic achievement in Education Management Department of Faculty of Education in Surabaya State University

INFERIORITAS PARAGA SAJRONE NOVEL PRASETYANE WANITA ANGGITANE TULUS SETIYADI (TINTINGAN PSIKOLOGI INDHIVIDHUAL ALFRED ADLER)

THE INFERIORITY OF CHARACTERS IN THE NOVEL PRASETYANE WANITA BY TULUS SETIYADI (ALFRED ADLER'S INDIVIDUAL PSYCHOLOGY THEORY)

MANAJEMEN PEMBINAAN PRESTASI OLAHRAGA PETANQUE DI KOTA KEDIRI  

MANAGEMENT COACHING ACHIEVEMENT PETANQUE SPORTS AT THE CITY OF KEDIRI

Penerapan Tingkat Kepatuhan Sistem Manajemen Keselamatan Dan Kesehatan Kerja (SMK3) Pada Bengkel Galvalum Jurusan KGSP SMKN 5 Surabaya

IMPLEMENTATION OF OCCUPATIONAL SAFETY AND HEALTH MANAGEMENT SYSTEM (SMK3) COMPLIANCE LEVELS IN THE GALVALUM WORKSHOP OF THE DEPARTMENT OF KGSP SMK NEGERI 5 SURABAYA

HUBUNGAN ANTARA ARGUMENTASI ILMIAH DAN BERPIKIR KRITIS PADA MATERI PEMANASAN GLOBAL DI SMAN 19 SURABAYA 

THE CORRELATION OF SCIENTIFIC ARGUMENTATION AND CRITICAL THINKING ON GLOBAL WARMING MATERIALS IN SMAN 19 SURABAYA

ANALISIS BIAS GENDER PADA PROGRAM PEMBERDAYAAN BANK SAMPAH INDUK SURABAYA

GENDER BIAS ANALYSIS IN THE SURABAYA MAIN WASTE BANK EMPOWERMENT PROGRAM

PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS PREZI PADA MATERI BUMBU DAN REMPAH INDONESIA DI SMKN 1 CERME GRESIK

DEVELOPMENT OF PREZI BASED LEARNING MEDIA ON COMPETENCE INDONESIAN SEASONING AND SPICE AT SMKN 1 CERME

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