Daftar Dokumen - Fakultas Teknik
Evaluasi Usability User Interface dan User Experience pada Aplikasi M.Tix dengan Metode Usability Testing (UT) dan System Usability Scale (SUS)
Usability Evaluation of User Interface and User Experience in M.Tix Applications Using Usability Testing (UT) and System Usability Scale (SUS) Methods
Penulis : ADELIA RIZMA REYHANA PUTRI - 19051214073 - Fak. Teknik

PENGARUH PENGETAHUAN BAHAN MAKANAN UNGGAS DAN TEKNIK MEMASAK TERHADAP KETERAMPILAN PENGOLAHAN MAIN COURSE SISWA JURUSAN TATA BOGA DI SMKN 3 KEDIRI
THE INFLUENCE OF POULTRY FOOD INGREDIENT KNOWLEDGE AND COOKING METHOD OF MAIN COURSE PROCESSING SKILLS BY CULINARY STUDENTS AT SMKN 3 KEDIRI
Penulis : NADIYA NURDIANI - 19050394011 - Fak. Teknik

Rancang Bangun Aplikasi SISKA (Sistem Informasi Karier) Menggunakan LARAMEN
Designing SISKA (Career Information System) Apps Using LARAMEN
Penulis : FIQY AINUZZAQY - 15050623016 - Fak. Teknik

IDENTIFIKASI MEREK OBAT MENGGUNAKAN METODE OCR DENGAN PERBANDINGAN MORPHOLOGICAL OPENING DAN CLOSING
IDENTIFICATION OF MEDICINE BRAND USING OCR METHOD WITH COMPARISON OF MORPHOLOGICAL OPENING AND CLOSING
Penulis : KHONSA AZIZA ALMASH - 18051204015 - Fak. Teknik

DESAIN SISTEM PENGENDALIAN KECEPATAN MOTOR DC PADA TRAINER DIGIAC 1750 MENGGUNAKAN KONTROLER LQR BERBASIS LABVIEW
DC MOTOR SPEED CONTROL SYSTEM DESIGN IN DIGIAC TRAINER 1750 USING LQR CONTROLLER LABVIEW-BASED
Penulis : FIHAN JAKA ANANTA - 15050874065 - Fak. Teknik

Pengaruh Model Pembelajaran Problem Based Learning terhadap Hasil Belajar Materi Soup pada Siswa Kelas XI Kuliner di SMKN 1 Lamongan
The Effect of Problem Based Learning Model to Learning Outcomes of Soup Chapter in Class XI Culinary at SMKN 1 Lamongan 
Penulis : NASHITA LUCKY MASHURA - 19050394021 - Fak. Teknik

PENGARUH PENERAPAN MEDIA DIGITAL SIMULATOR TERHADAP HASIL BELAJAR PESERTA DIDIK VOKASI TBSM
THE INFLUENCE OF APPLICATION OF DIGITAL SIMULATOR MEDIA ON THE LEARNING OUTCOMES OF TBSM VOCATIONAL STUDENTS
Penulis : DWI ANGGA APRILIANSYAH - 20050524023 - Fak. Teknik

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
Penulis : M RIZKY RADITIA PUTRA - 20050534036 - Fak. Teknik

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
Penulis : SONTYA MARLINDA SARI - 18050394001 - Fak. Teknik

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
Penulis : SATRIA ADI WICAKSONO - 15051204035 - Fak. Teknik