Daftar Dokumen - Fakultas Teknik
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF DASAR LISTRIK DAN ELEKTRONIKA BERBASIS ARTICULATE STORYLINE UNTUK SISWA KELAS X TEKNIK OTOMASI INDUSTRI (TOI) SMK SEMEN GRESIK
DEVELOPMENT OF INTERACTIVE LEARNING MEDIA BASIC ELECTRICITY AND ELECTRONICS BASED ON ARTICULATE STORYLINE FOR CLASS X TEKNIK OTOMASI INDUSTRI (TOI) SMK SEMEN GRESIK
Penulis : AMMAR DHOIFULLAH - 16050514027 - Fak. Teknik

Hubungan Pengalaman Praktik Kerja Industri dan Bimbingan Karir Terhadap Kesiapan Kerja Siswa Kelas XII Program Studi Keahlian Desain Pemodelan dan Informasi Bangunan SMK Negeri 3 Surabaya
the Relation of Experience On the Job Training and Career Guidance toward Student Work Readiness Class XII of Expertise Study Program Modeling Design and Building Information State Vocation High School 3 of Surabaya
Penulis : YUNIA ALFATIH ANGGRAINI - 18050534020 - Fak. Teknik

PENGEMBANGAN JOBSHEET BERBASIS INKUIRI UNTUK PEMBELAJARAN MOTOR DIESEL DI LABORATORIUM MOTOR DIESEL UNIVERSITAS NEGERI SURABAYA
DEVELOPMENT OF INQUIRY-BASED JOBSHEET FOR DIESEL ENGINE LEARNING IN THE DIESEL ENGINE LABORATORY OF SURABAYA STATE UNIVERSITY
Penulis : RICO HARI PRATAMA - 22050524026 - Fak. Teknik

Pengembangan Media E-Modul pada Pembelajaran Pembuatan Gambar Proporsi Tubuh di Kelas X Tata Busana SMK Negeri 1 Buduran
Development of E-Module Media on Learning to Make Body Proportion Images in Class X Fashion Design SMK Negeri 1 Buduran
Penulis : MARSHA BELINDA ADANI - 19050404029 - Fak. Teknik

SISTEM PENYIRAMAN TAUGE MENGGUNAKAN SUMBER TENAGA HYBRID ANGIN DAN MATAHARI
TAUGE WATERING SYSTEM USING WIND AND SUN SUN HYBRID SOURCES
Penulis : RAKHMAD AGUS ARRASHID - 17050874076 - Fak. Teknik

ANALISIS KINERJA ULTRAWIDEBAND ANTIPODAL VIVALDI RECTENNA UNTUK APLIKASI ENERGY HARVESTING RADIO FREQUENCY
PERFORMANCE ANALYSIS OF THE VIVALDI ANTIPODAL ULTRAWIDEBAND ANTENNA FOR ENERGY HARVESTING APPLICATIONS RADIO FREQUENCY
Penulis : MOHAMMAD IYO AGUS SETYONO - 23051505003 - Fak. Teknik

ANALISIS KEPUASAN PELANGGAN DENGAN METODE CUSTOMER SATISFACTION INDEX ( CSI ) PADA YOURLIGIE SALON SMK 6 SURABAYA
CUSTOMER SATISFACTION ANALYSIS USING CUSTOMER SATISFACTION INDEX (CSI) METHOD AT YOURLIGIE SALON SMK 6 SURABAYA
Penulis : YONA OKTAFARISKA SULU - 20050634028 - 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

Sistem Pendukung Keputusan Perekrutan Karyawan Berbasis Web dengan Metode Fuzzy Analytical Hierarchy Process (Studi Kasus PT. Agrofarm Nusa Raya)
Web-Based Employee Recruitment Decision Support System Using The Fuzzy Analytical Hierarchy Process Method (Case Study PT. Agrofarm Nusa Raya)
Penulis : VICKY PRATAMA SETIA MAHARDIKA - 20051214016 - Fak. Teknik

RANCANG BANGUN APLIKASI KELAS ONLINE BERBASIS WEB RESPONSIVE DENGAN METODE SIMPLE ADDITIVE WEIGHTING DAN IMPLEMENTASI PAYMENT GATEWAY DAN SMS GATEWAY 
DESIGN OF ONLINE CLASS APPLICATION BASED ON RESPONSIVE WEB USING SIMPLE ADDITIVE WEIGHTING METHOD AND IMPLEMENTATION OF PAYMENT GATEWAY AND SMS GATEWAY 
Penulis : MOCH. FACHRUDIN - 17051214008 - Fak. Teknik