Open access Jurnal SINTA 1
Classification of Palm Oil Fresh Fruit Bunch using Multiband Optical Sensors
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 4 (2019)
- ISSN
- 2088-8708, 2088-8708
- Published
- 2019-08-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
This study investigated optical sensor system consist of sixteen light emitting diode (LED) in visible/near infrared region to detect palm oil fresh fruit bunch (FFB) quality. Practically, experience grader assessed FFB quality by its ripeness based on external features such as colour and number of detached fruitlets. However, different seed and plantation management resulting in FFB quality variation. Same external features not linearly correlate with FFB oil content that corresponding with industrial needs. The 660 nm LED is choosen to be used to estimate the oil content of FFB. Using linear discriminant analysis (LDA) with Mahalanobis distance, the accuracy of the systems is 79.8% and 88.2%. From 33 FFB oil content measurement, grader misclassified 4 out of 17 FFB as ripe FFB but with low oil content ( =17.5%). Classifying model build from FFB from main plantation then tested to evaluate FFB from smallholder. Classification model generated from FFB oil content data showed more accurate result compared to model generated from visual inspection 66.7% compared to 52.1%. Model accuracies attained by Discriminant Analysis (DA) and k-Nearest Neighbors (k-NN) were 79.8% and 80.7%, respectively based on grader evaluation. Model accuracies based on FFB oil content was 88.2% for both classifying algorithms.
Collaboration network of the authors
25 authors · 56 co-authorship links · 5 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Bandung Institute of Technology
- Sumatera Institute of Technology
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Armein Z. R. Langi | Bandung Institute of Technology | 2 |
| Nur Ahmadi | Bandung Institute of Technology | 2 |
| Amy Hamidah Salman | Bandung Institute of Technology | 2 |
| Tati L. R. Mengko | Bandung Institute of Technology | 2 |
| Abdullah Faqih A. Mubarok | Bandung Institute of Technology | 1 |
| Akhmad Dyma H. Syababa | Bandung Institute of Technology | 1 |
| Lavita Nur'aviana Rizalputri | Affiliation unknown | 1 |
| Ahmad Habbie Thias | Bandung Institute of Technology | 1 |
| Teresia R. Savera | Bandung Institute of Technology | 1 |
| Winsya H. Suryawan | Bandung Institute of Technology | 1 |
| Yusuf Aulia Rahman | Affiliation unknown | 1 |
| Faisal Amir | Sumatera Institute of Technology | 1 |
| Marsudi Siburian | Sumatera Institute of Technology | 1 |
| Nova Resfita | Sumatera Institute of Technology | 1 |
| Muhammad Wildan Gifari | Sumatera Institute of Technology | 1 |
| Rudi Setiawan | Sumatera Institute of Technology | 1 |
| Muhammad Adzkia | Bandung Institute of Technology | 1 |
| Firzal Arland | Bandung Institute of Technology | 1 |
| Afin Muhammad Nurtsani | Bandung Institute of Technology | 1 |
| Muhammad Adib Syamlan | Bandung Institute of Technology | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.