Pengaruh Fee audit, Audit Tenure, dan Rotasi Audit  Terhadap Kualitas Audit

Enhancing Audit Quality Investigating Impact of Audit Fees, Audit Tenure, and Audit Rotation 

Pengaruh Kesadaran Wajib Pajak Dan Sosialisasi Pajak Terhadap Kepatuhan Wajib Pajak Kendaraan Bermotor Di Kota Probolinggo

The Influence of Taxpayer Awareness and Tax Socialization on Motor Vehicle Taxpayer Compliance in Probolinggo City

IMPLEMENTASI SERVER SIDE RENDERING PADA SISTEM ABSENSI MAHASISWA BERBASIS WEBSITE

IMPLEMENTATION OF SERVER SIDE RENDERING ON A WEB-BASED STUDENT ATTENDANCE SYSTEM

KONSTRUKSI SOSIAL TERHADAP IDENTITAS KULTURAL MASYARAKAT SUKU TENGGER NGADAS DALAM MENANGGAPI FORMALISASI AGAMA

SOCIAL CONSTRUCTION OF THE CULTURAL IDENTITY OF THE NGADAS TENGGER COMMUNITY IN RESPONSE TO THE FORMALISATION OF RELIGION

PENGARUH KOMPONEN PAD DAN DANA BAGI HASIL TERHADAP TINGKAT KEMANDIRIAN KEUANGAN DAERAH PADA KABUPATEN DAN KOTA DI PROVINSI NUSA TENGGARA TIMUR TAHUN 2017-2022

THE AFFECT OF COMPONENT OF REGIONAL LOCAL GOVERNMENT REVENUE AND REVENUE SHARING FUNDS TOWARDS REGIONAL FINANCIAL INDEPENDENCE IN DISTRICTS AND CITIES OF NUSA TENGGARA TIMUR IN 2017-2022

Adaptasi Komunikasi Budaya Mahasiswa Asing di Universitas Negeri Surabaya

Adaptation of Foreign Students In Intercultural Communication At Universitas Negeri Surabaya

PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS WEBSITE GOOGLE SITES UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS X SMK NEGERI 2 SURABAYA

DEVELOPMENT OF INTERACTIVE LEARNING MEDIA BASED ON THE GOOGLE SITES WEBSITE TO IMPROVE LEARNING OUTCOMES OF CLASS X STUDENTS OF SMK NEGERI 2 SURABAYA

Hubungan Tingkat Pengetahuan Gizi, Pola Asuh Makan dan Sanitasi dengan Kejadian Stunting pada Balita Usia 2-5 Tahun di Desa Sukoharjo Kecamatan Wilangan Kabupaten Nganjuk.

The Relationship between the  Level of Nutritional Knowledge, Parenting Patterns and Sanitation with the Incidence of Stunting in Toddlers Aged 2-5 Years in Sukoharjo Village Wilangan District Nganjuk Recency.

IMPLEMENTASI PEMBELAJARAN STATION ROTATION  DAN TACTICAL APPROACH PADA MAPEL PJOK PADA MATERI AKTIVITAS UNTUK KEBUGARAN TERHADAP TINGKAT KELINCAHAN SISWA

IMPLEMENTATION OF STATION ROTATION AND TACTICAL APPROACH LEARNING IN SPORTS AND HEALTH PHYSICAL EDUCATION SUBJECTS ON ACTIVITY MATERIALS FOR FITNESS FOR STUDENTS' AGILE LEVEL

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