SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
Pembuatan Tabel Database: Jadwal Kereta Api Surabaya-
Yogyakarta-Bandung-Jakarta
Disusun Oleh:
Muhammad Irsyadi Firdaus (3512100015)
Kelas: SIMBADA A
DOSEN:
UDIYANA WAHYU D., S.T., M.T.
JURUSAN TEKNIK GEOMATIKA
FAKULTAS TEKNIK SIPIL DAN PERENCANAAN
INSTITUT TEKNOLOGI SEPULUH NOPEMBER
SURABAYA
2014
Pembuatan Tabel Database: Jadwal Kereta Api Surabaya-Yogyakarta-
Bandung-Jakarta
Langkah-langkah dalam pembuatan tabel database jadwal kereta api
Surabaya-Yogyakarta-Bandung-Jakarta adalah sebagai berikut:
1. Membuka Microsoft Access dan membuat Database (New Project)
Langkah – langkah untuk membuka Microsoft Access dan membuat database:
a. Click Start – All Program – Microsoft Office – Microsoft Access 2013
b. Kemudian akan tampil jendela Microsoft Access seperti gambar dibawah
ini, lalu click Blank Database untuk membuat database.
c. Membuat database JadwalKA.accdb kemudian click tombol create.
2. Membuat Table
Dalam pembuatan database, data yang pertama dibuat adalah tabel. Tabel
merupakan kumpulan data yang tersusun menurut aturan tertentu dan
merupakan komponen utama pada database. Tabel tersusun dalam bentuk baris
(record) dan kolom (field).
Langkah-langkah untuk membuat tabel:
a. Click tab Create pada menu bar.
b. Click Table Design pada tool bar
c. Masukkan nama field beserta tipe datanya, kemudian simpan tabel
(Ctrl+S)
Untuk menampilkan Data Type.
- Click anak panah ke bawah yang berada di setiap data type.
- Pilih sesuai dengan yang diinginkan
Ada beberapa tipe data antara lain:
d. Kemudian click tool bar View pada menu bar Home atau Design, lalu
pilih Datasheet View untuk masukkan data ke dalam tabel.
Langkah-langkah diatas untuk menambah atau membuat tabel baru. Untuk
membuat table pertama kali tidak perlu melakukan langkah diatas karena
setelah membuat database baru maka opomatis membuka Table design.
3. Memasukan Data pada Record ke dalam setiap field.
Jadwal Kereta Api Surabaya - Yogyakarta - Bandung - Jakarta
ID
Kereta
Api Nama Kereta
Stasiun
Keberangkatan
Waktu
Keberangkatan
Stasiun
Kedatangan
Waktu
Kedatangan
KA 1
Bromo
Anggrek Pagi Sb. Pasarturi 8:15:00 AM Gambir 5:58:00 PM
KA 115
Gayabaru
Malam Sb. Gubeng 12:00:00 PM Jakartakota 2:14:00 AM
KA 116
Gayabaru
Malam Jakartakota 11:30:00 AM Sb. Gubeng 1:50:00 AM
KA 119 Kertajaya Sb. Pasarturi 3:00:00 PM Tanjungpriok 3:14:00 AM
KA 120 Kertajaya Tanjungpriok 1:35:00 PM Sb. Pasarturi 3:25:00 AM
KA 121 Pasundan Sb. Gubeng 8:15:00 AM Kiaracondong
10:22:00
PM
KA 122 Pasundan Kiaracondong 5:30:00 AM Sb. Gubeng 7:55:00 PM
KA 2
Bromo
Anggrek Pagi Gambir 9:30:00 AM Sb. Pasarturi 7:13:00 PM
KA 3
Bromo
Anggrek
Malam Sb. Pasarturi 8:15:00 PM Gambir 5:57:00 AM
KA 33 Bima Sb. Gubeng 6:15:00 PM Gambir 6:24:00 AM
KA 34 Bima Gambir 5:00:00 PM Sb. Gubeng 5:15:00 AM
KA 35 Sembrani Sb. Pasarturi 6:25:00 PM Gambir 5:38:00 AM
KA 36 Sembrani Gambir 7:30:00 PM Sb. Pasarturi 6:25:00 AM
KA 37 Turangga Sb. Gubeng 7:00:00 PM Bandung 7:02:00 AM
KA 38 Turangga Bandung 8:00:00 PM Sb. Gubeng 8:10:00 AM
KA 4
Bromo
Anggrek
Malam Gambir 9:30:00 PM Sb. Pasarturi 7:10:00 AM
KA 5 Argo Wilis Sb. Gubeng 7:30:00 AM Bandung 6:43:00 PM
KA 6 Argo Wilis Bandung 8:00:00 AM Sb. Gubeng 7:28:00 PM
KA 63 Gumarang Sb. Pasarturi 5:00:00 PM Jakartakota 5:31:00 AM
KA 64 Gumarang Jakartakota 3:15:00 PM Sb. Pasarturi 4:06:00 AM
KA 73 Sancaka Sb. Gubeng 8:00:00 AM Yogyakarta
12:52:00
PM
KA 74 Sancaka Yogyakarta 7:25:00 AM Sb. Gubeng
12:04:00
PM
KA 75 Sancaka Sb. Gubeng 3:45:00 PM Yogyakarta 8:29:00 PM
KA 93
Mutiara
Selatan Sb. Gubeng 5:00:00 PM Bandung 5:45:00 AM
KA 94
Mutiara
Selatan Bandung 5:00:00 PM Sb. Gubeng 6:02:00 AM
Sehingga tampilannya menjadi seperti dibawah ini

Weitere ähnliche Inhalte

Mehr von National Cheng Kung University

Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU Data
Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU DataOptimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU Data
Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU DataNational Cheng Kung University
 
Satellite Image Classification using Decision Tree, SVM and k-Nearest Neighbor
Satellite Image Classification using Decision Tree, SVM and k-Nearest NeighborSatellite Image Classification using Decision Tree, SVM and k-Nearest Neighbor
Satellite Image Classification using Decision Tree, SVM and k-Nearest NeighborNational Cheng Kung University
 
A Method of Mining Association Rules for Geographical Points of Interest
A Method of Mining Association Rules for Geographical Points of InterestA Method of Mining Association Rules for Geographical Points of Interest
A Method of Mining Association Rules for Geographical Points of InterestNational Cheng Kung University
 
Building classification model, tree model, confusion matrix and prediction ac...
Building classification model, tree model, confusion matrix and prediction ac...Building classification model, tree model, confusion matrix and prediction ac...
Building classification model, tree model, confusion matrix and prediction ac...National Cheng Kung University
 
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...National Cheng Kung University
 
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...National Cheng Kung University
 
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...National Cheng Kung University
 
SIFT/SURF can achieve scale, rotation and illumination invariant during image...
SIFT/SURF can achieve scale, rotation and illumination invariant during image...SIFT/SURF can achieve scale, rotation and illumination invariant during image...
SIFT/SURF can achieve scale, rotation and illumination invariant during image...National Cheng Kung University
 
3D reconstruction by photogrammetry and 4D deformation measurement
3D reconstruction by photogrammetry and 4D deformation measurement3D reconstruction by photogrammetry and 4D deformation measurement
3D reconstruction by photogrammetry and 4D deformation measurementNational Cheng Kung University
 
Implement the morphological operations: Dilation, Erosion, Opening and Closing
Implement the morphological operations: Dilation, Erosion, Opening and ClosingImplement the morphological operations: Dilation, Erosion, Opening and Closing
Implement the morphological operations: Dilation, Erosion, Opening and ClosingNational Cheng Kung University
 
Image segmentation algorithm to segment the Potomac River from the multi-spec...
Image segmentation algorithm to segment the Potomac River from the multi-spec...Image segmentation algorithm to segment the Potomac River from the multi-spec...
Image segmentation algorithm to segment the Potomac River from the multi-spec...National Cheng Kung University
 
Basic image matching techniques, epipolar geometry and normalized image
Basic image matching techniques, epipolar geometry and normalized imageBasic image matching techniques, epipolar geometry and normalized image
Basic image matching techniques, epipolar geometry and normalized imageNational Cheng Kung University
 
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERA
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERATHE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERA
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERANational Cheng Kung University
 

Mehr von National Cheng Kung University (20)

Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU Data
Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU DataOptimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU Data
Optimal Filtering with Kalman Filters and Smoothers Using AndroSensor IMU Data
 
Satellite Image Classification using Decision Tree, SVM and k-Nearest Neighbor
Satellite Image Classification using Decision Tree, SVM and k-Nearest NeighborSatellite Image Classification using Decision Tree, SVM and k-Nearest Neighbor
Satellite Image Classification using Decision Tree, SVM and k-Nearest Neighbor
 
EKF and RTS smoother toolbox
EKF and RTS smoother toolboxEKF and RTS smoother toolbox
EKF and RTS smoother toolbox
 
Kalman Filter Basic
Kalman Filter BasicKalman Filter Basic
Kalman Filter Basic
 
A Method of Mining Association Rules for Geographical Points of Interest
A Method of Mining Association Rules for Geographical Points of InterestA Method of Mining Association Rules for Geographical Points of Interest
A Method of Mining Association Rules for Geographical Points of Interest
 
DSM Extraction from Pleiades Images Using RSP
DSM Extraction from Pleiades Images Using RSPDSM Extraction from Pleiades Images Using RSP
DSM Extraction from Pleiades Images Using RSP
 
Calibration of Inertial Sensor within Smartphone
Calibration of Inertial Sensor within SmartphoneCalibration of Inertial Sensor within Smartphone
Calibration of Inertial Sensor within Smartphone
 
Pengukuran GPS Menggunakan Trimble Secara Manual
Pengukuran GPS Menggunakan Trimble Secara ManualPengukuran GPS Menggunakan Trimble Secara Manual
Pengukuran GPS Menggunakan Trimble Secara Manual
 
Building classification model, tree model, confusion matrix and prediction ac...
Building classification model, tree model, confusion matrix and prediction ac...Building classification model, tree model, confusion matrix and prediction ac...
Building classification model, tree model, confusion matrix and prediction ac...
 
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...
Accuracy Analysis of Three-Dimensional Model Reconstructed by Spherical Video...
 
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...
Association Rule (Data Mining) - Frequent Itemset Generation, Closed Frequent...
 
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...
The rotation matrix (DCM) and quaternion in Inertial Survey and Navigation Sy...
 
SIFT/SURF can achieve scale, rotation and illumination invariant during image...
SIFT/SURF can achieve scale, rotation and illumination invariant during image...SIFT/SURF can achieve scale, rotation and illumination invariant during image...
SIFT/SURF can achieve scale, rotation and illumination invariant during image...
 
3D reconstruction by photogrammetry and 4D deformation measurement
3D reconstruction by photogrammetry and 4D deformation measurement3D reconstruction by photogrammetry and 4D deformation measurement
3D reconstruction by photogrammetry and 4D deformation measurement
 
Shadow Detection Using MatLAB
Shadow Detection Using MatLABShadow Detection Using MatLAB
Shadow Detection Using MatLAB
 
Implement the morphological operations: Dilation, Erosion, Opening and Closing
Implement the morphological operations: Dilation, Erosion, Opening and ClosingImplement the morphological operations: Dilation, Erosion, Opening and Closing
Implement the morphological operations: Dilation, Erosion, Opening and Closing
 
Image segmentation algorithm to segment the Potomac River from the multi-spec...
Image segmentation algorithm to segment the Potomac River from the multi-spec...Image segmentation algorithm to segment the Potomac River from the multi-spec...
Image segmentation algorithm to segment the Potomac River from the multi-spec...
 
Basic image matching techniques, epipolar geometry and normalized image
Basic image matching techniques, epipolar geometry and normalized imageBasic image matching techniques, epipolar geometry and normalized image
Basic image matching techniques, epipolar geometry and normalized image
 
Shadow Detection of Color Aerial Images
Shadow Detection of Color Aerial ImagesShadow Detection of Color Aerial Images
Shadow Detection of Color Aerial Images
 
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERA
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERATHE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERA
THE 3D MODELLING USING FRAME CAMERAS AND PANORAMIC CAMERA
 

JadwalKeretaApi

  • 1. Pembuatan Tabel Database: Jadwal Kereta Api Surabaya- Yogyakarta-Bandung-Jakarta Disusun Oleh: Muhammad Irsyadi Firdaus (3512100015) Kelas: SIMBADA A DOSEN: UDIYANA WAHYU D., S.T., M.T. JURUSAN TEKNIK GEOMATIKA FAKULTAS TEKNIK SIPIL DAN PERENCANAAN INSTITUT TEKNOLOGI SEPULUH NOPEMBER SURABAYA 2014
  • 2. Pembuatan Tabel Database: Jadwal Kereta Api Surabaya-Yogyakarta- Bandung-Jakarta Langkah-langkah dalam pembuatan tabel database jadwal kereta api Surabaya-Yogyakarta-Bandung-Jakarta adalah sebagai berikut: 1. Membuka Microsoft Access dan membuat Database (New Project) Langkah – langkah untuk membuka Microsoft Access dan membuat database: a. Click Start – All Program – Microsoft Office – Microsoft Access 2013 b. Kemudian akan tampil jendela Microsoft Access seperti gambar dibawah ini, lalu click Blank Database untuk membuat database. c. Membuat database JadwalKA.accdb kemudian click tombol create.
  • 3. 2. Membuat Table Dalam pembuatan database, data yang pertama dibuat adalah tabel. Tabel merupakan kumpulan data yang tersusun menurut aturan tertentu dan merupakan komponen utama pada database. Tabel tersusun dalam bentuk baris (record) dan kolom (field). Langkah-langkah untuk membuat tabel: a. Click tab Create pada menu bar. b. Click Table Design pada tool bar c. Masukkan nama field beserta tipe datanya, kemudian simpan tabel (Ctrl+S) Untuk menampilkan Data Type. - Click anak panah ke bawah yang berada di setiap data type. - Pilih sesuai dengan yang diinginkan Ada beberapa tipe data antara lain:
  • 4. d. Kemudian click tool bar View pada menu bar Home atau Design, lalu pilih Datasheet View untuk masukkan data ke dalam tabel. Langkah-langkah diatas untuk menambah atau membuat tabel baru. Untuk membuat table pertama kali tidak perlu melakukan langkah diatas karena setelah membuat database baru maka opomatis membuka Table design.
  • 5. 3. Memasukan Data pada Record ke dalam setiap field. Jadwal Kereta Api Surabaya - Yogyakarta - Bandung - Jakarta ID Kereta Api Nama Kereta Stasiun Keberangkatan Waktu Keberangkatan Stasiun Kedatangan Waktu Kedatangan KA 1 Bromo Anggrek Pagi Sb. Pasarturi 8:15:00 AM Gambir 5:58:00 PM KA 115 Gayabaru Malam Sb. Gubeng 12:00:00 PM Jakartakota 2:14:00 AM KA 116 Gayabaru Malam Jakartakota 11:30:00 AM Sb. Gubeng 1:50:00 AM KA 119 Kertajaya Sb. Pasarturi 3:00:00 PM Tanjungpriok 3:14:00 AM KA 120 Kertajaya Tanjungpriok 1:35:00 PM Sb. Pasarturi 3:25:00 AM KA 121 Pasundan Sb. Gubeng 8:15:00 AM Kiaracondong 10:22:00 PM
  • 6. KA 122 Pasundan Kiaracondong 5:30:00 AM Sb. Gubeng 7:55:00 PM KA 2 Bromo Anggrek Pagi Gambir 9:30:00 AM Sb. Pasarturi 7:13:00 PM KA 3 Bromo Anggrek Malam Sb. Pasarturi 8:15:00 PM Gambir 5:57:00 AM KA 33 Bima Sb. Gubeng 6:15:00 PM Gambir 6:24:00 AM KA 34 Bima Gambir 5:00:00 PM Sb. Gubeng 5:15:00 AM KA 35 Sembrani Sb. Pasarturi 6:25:00 PM Gambir 5:38:00 AM KA 36 Sembrani Gambir 7:30:00 PM Sb. Pasarturi 6:25:00 AM KA 37 Turangga Sb. Gubeng 7:00:00 PM Bandung 7:02:00 AM KA 38 Turangga Bandung 8:00:00 PM Sb. Gubeng 8:10:00 AM KA 4 Bromo Anggrek Malam Gambir 9:30:00 PM Sb. Pasarturi 7:10:00 AM KA 5 Argo Wilis Sb. Gubeng 7:30:00 AM Bandung 6:43:00 PM KA 6 Argo Wilis Bandung 8:00:00 AM Sb. Gubeng 7:28:00 PM KA 63 Gumarang Sb. Pasarturi 5:00:00 PM Jakartakota 5:31:00 AM KA 64 Gumarang Jakartakota 3:15:00 PM Sb. Pasarturi 4:06:00 AM KA 73 Sancaka Sb. Gubeng 8:00:00 AM Yogyakarta 12:52:00 PM KA 74 Sancaka Yogyakarta 7:25:00 AM Sb. Gubeng 12:04:00 PM KA 75 Sancaka Sb. Gubeng 3:45:00 PM Yogyakarta 8:29:00 PM KA 93 Mutiara Selatan Sb. Gubeng 5:00:00 PM Bandung 5:45:00 AM KA 94 Mutiara Selatan Bandung 5:00:00 PM Sb. Gubeng 6:02:00 AM Sehingga tampilannya menjadi seperti dibawah ini