EFEKTIVITAS PEMBELAJARAN TEACHING FACTORY PADA TEKNIK PEMESINAN UNTUK SISWA SMK

EFFECTIVENESS OF TEACHING FACTORY LEARNING IN MECHANICAL ENGINEERING FOR VOCATIONAL SCHOOL STUDENTS

PEMANFAATAN SERAT RAMI TERHADAP KUAT TEKAN DAN KUAT LENTUR PADA PEMBUATAN PANEL BETON RINGAN MENGGUNAKAN EAFS (ELECTRIC ARC FURNACE SLAG) SEBAGAI SUBSTITUSI PASIR

UTILIZATION OF RAMI FIBER ON COMPRESSIVE STRENGTH AND FLEXURAL STRENGTH IN THE MAKING OF LIGHTWEIGHT CONCRETE PANEL USING EAFS (ELECTRIC ARC FURNACE SLAG) AS A SAND SUBSTITUTION

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

Rancang Bangun Virtual Tour Objek Wisata Kabupaten Gresik Dengan Fitur Rekomendasi Penginapan Berbasis Lokasi dan Preferensi Pengguna

Design and Development of a Virtual Tour for Gresik Regency Tourism with Location Based and User Preference Based Accommodation Recommendations 

RANCANG BANGUN SISTEM PENGENCANG TALI SEPATU OTOMATIS BERBASIS ATMEGA32U4 DAN SENSOR FSR406

DESIGN AND DEVELOPMENT OF AUTOMATIC SHOE ROPE SYSTEM BASED ON ATMEGA32U4 AND SENSOR FSR406

Digitalisasi Pelayanan Kantor Kementerian Agama Kabupaten Jombang Melalui Rancang Bangun Design Antarmuka Dan Pengalaman Pengguna (UI/UX) Website KEMBANGDAMAN Menggunakan Pendekatan User Centered Design

Digitalization of the Services of Kementerian Agama Kabupaten Jombang Through the Design of User Interface and Experience (UI/UX) of KEMBANGDAMAN Website Using  User-Centered Design Methode

PENGEMBANGAN SISTEM KENDALI PADA PURWARUPA ROBOT HUMANOID  UNTUK AUTISM SPECTRUM DISORDER BERBASIS IoT

DEVELOPMENT OF A CONTROL SYSTEM ON A HUMANOID ROBOT PROTOTYPE FOR AUTISM SPECTRUM DISORDER BASED ON IoT

Pengembangan Media Pembelajaran Sensor Untuk Meningkatkan Hasil Belajar Pada Mata Pelajaran Penerapan Rangkaian Elektronika di SMKN 1 Sidoarjo

Development of Sensor Learning Media to Improve Learning Outcomes in the Subject of Application of Electronic Circuit at SMKN 1 Sidoarjo 

PENGEMBANGAN MODUL TRAINER SENSOR UNTUK MENUNJANG MATA KULIAH INSTRUMENTASI DAN KENDALI DI JURUSAN TEKNIK MESIN UNESA

MODULE DEVELOPMENT OF TRAINER SENSOR TO SUPPORT INSTRUMENTATION AND CONTROL COURSE IN MECHANICAL ENGINEERING DEPARTMENT OF UNESA

INOVASI PEMBUATAN DENDENG LUMAT IKAN BANDENG DENGAN CAMPURAN TEMPE BUNGKIL KACANG TANAH

THE INNOVATION OF MAKING OF MILKFISH MASHED JERKY WITH MIXED PEANUT PRESS CAKE