Skripsi

PENERAPAN METODE REGRESI LOGISTIK MULTINOMIAL DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB)

---

Penilaian

---

Canned waste is difficult to remove, so that it has a negative impact on the environment. One way to reduce channed waste is by way of recycling. Recycling can be done by grouping cans into certain criteria. This research will group the types of cans based on the image of Red Green Blue (RGB). The data use consisted of 250 samples. The data is divided into training data and test data, the composition of the data used is 80% training data and 20% test data, In taking canned photos for test and training data, data is used in the form of lamp angle 45, Lamp light 1 and 2 speeds from the conveyer belt, with a speed of 1 is 0.181 m/s and a speed of 2 is 0.056 m/s. and the level of accuracy obtained from the color grouping of cans. This study uses the multinomial logistic regression method. The results showed that the highest level of accuracy was at speed 2 with an accuracy value of 80%. This show that the multinomial logistic regression method is quite good in classifying these types of cans.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2107003441	T48442	T484422021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T484422021

Publisher

Inderalaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2021

Collation

xiv, 50 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

519.53

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Regresi Logistik Multinomial
Prodi Ilmu Matematika

Specific Detail Info

-

Statement of Responsibility

DS

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment