Sistem Klasifikasi Kesiapan Panen Tanaman Hidroponik Pakcoy Berbasis Support Vector Machine

Angga, Bagus Prawira (2022) Sistem Klasifikasi Kesiapan Panen Tanaman Hidroponik Pakcoy Berbasis Support Vector Machine. Technical Report. Pustakawan, Perpustakaan Institut Teknologi Telkom Purwokerto. (Unpublished)

[img] Text
COVER.pdf

Download (135kB)
[img] Text
ABSTRACT.pdf

Download (11kB)
[img] Text
ABSTRAK .pdf

Download (56kB)
[img] Text
BAB 1.pdf

Download (15kB)
[img] Text
BAB 2.pdf

Download (143kB)
[img] Text
BAB 3.pdf

Download (135kB)
[img] Text
BAB 4.pdf
Restricted to Registered users only

Download (308kB) | Request a copy
[img] Text
BAB 5.pdf

Download (13kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (70kB)
[img] Text
LAMPIRAN.pdf
Restricted to Registered users only

Download (362kB) | Request a copy

Abstract

PT. Huawei Tech Investment which is a company engaged in the field of telecommunications network equipment and services. Through Certified Independent Study activities, it gives the author the opportunity to learn more in the field of Artificial Intelligence as one of the skills that is being very intensively innovated. Not only learning about AI, the author is also given some additional learning materials, such as Linear Algebra, Python Programming, and Statistical Probability. This lecture is conducted online, both synchronously and asynchronously by mentors who have competency certification from Huawei. This additional learning material is carried out for 4 days a week. Next, the author studied the main material and did an assessment on Huawei's E-Learning for practice before carrying out the HCIA certification exam activities. After the certification exam, the author focuses on working on the final project or project as the goal of achieving this activity. During the process of working on the project, the author worked on a journal as a publication containing the classification of plant maturity with the title "Pakcoy hydroponic plant readiness classification system based on Support vector machine". Keywords: Artificial Intelligence, Support vector machine, HCIA

Item Type: Monograph (Technical Report)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering
Depositing User: pustakawan ittp
Date Deposited: 17 Mar 2022 06:41
Last Modified: 17 Mar 2022 06:41
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/7102

Actions (login required)

View Item View Item