Jenis Dokumen
Fakultas
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