Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Development Research
Irzal Ahmad Sabilla
Institut Teknologi Sepuluh Nopember
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Tomatoes and Chilies Type Classifications by Using Machine Learning Methods: Classifications using Machine Learning Methods Irzal Ahmad Sabilla; Chastine Fatichah
Journal of Development Research Vol. 4 No. 1 (2020): Volume 4, Number 1, May 2020
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.481 KB) | DOI: 10.28926/jdr.v4i1.93

Abstract

Vegetables are ingredients for flavoring, such as tomatoes and chilies. A Both of these ingredients are processed to accompany the people's staple food in the form of sauce and seasoning. In supermarkets, these vegetables can be found easily, but many people do not understand how to choose the type and quality of chilies and tomatoes. This study discusses the classification of types of cayenne, curly, green, red chilies, and tomatoes with good and bad conditions using machine learning and contrast enhancement techniques. The machine learning methods used are Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Linear Discriminant Analysis (LDA), and Random Forest (RF). The results of testing the best method are measured based on the value of accuracy. In addition to the accuracy of this study, it also measures the speed of computation so that the methods used are efficient.
Integrated smart door system in apartment room based on internet Muchammad Husni; Henning Titi Ciptaningtyas; Ridho Rahman Hariadi; Irzal Ahmad Sabilla; Siska Arifiani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12322

Abstract

Internet of Things (IoT) is technology which provides communication between machines without human intervention. There are many applications that implement IoT technology e.g. smart power, smart home, transportation management, and smart city. This paper proposes the usage of IoT to develop electronic key that can help to improve the security in apartment. Electronic key uses Android smart phone to access and control the door. Electronic key uses Raspberry pii, motor DC, webcam, microswitch, and Arduino GSM. Raspberry is used to get command from server and instruct the Arduino GSM to open or close the door and webcam is used to take picture from the environment for documentation. This research uses three steps to verify the user who want to open or close the door i.e. using username and password, bluetooth, and QR code scanner.
Rancang Bangun Prototype Monitoring Kualitas Udara dalam Ruangan Milenia Ulwan Zafira; Khakim Ghozali; Irzal Ahmad Sabilla
Jurnal Teknik ITS Vol 11, No 2 (2022)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v11i2.86341

Abstract

Permasalahan yang melibatkan udara sudah banyak sekali terjadi, dengan adanya polusi udara, kualitas udara akan menjadi turun dan bisa berdampak pada kesehatan. maka dari itu untuk mencegah terjadinya hal serupa, sehingga dibutuhkan sistem untuk mendeteksi gas yang mungkin ada di sekitar kita dan dapat dimonitor secara realtime dimana saja. Dari penelitian sebelumnya mengenai hal serupa hanya diaplikasikan khusus pada satu sensor dan satu jenis gas saja. maka dari itu untuk memecahkan masalah yang dibawa, Peneliti mengusulkan sistem monitoring gas di dalam ruangan yang dapat di monitor secara realtime. Peneliti memakai 3 (tiga) sensor, mikrokontroler Arduino Uno, NodeMCU ESP8266 serta LCD dengan I2C Bus. Gas yang diteliti pada penelitian ini adalah metana (CH4) dengan hasil pengukuran rata-rata 2.79 ppm, Alkohol 1.06 ppm, CO2 2.32 ppm, NH4 3.63 ppm, Smoke 0.7 ppm dan CO 1.1 ppm.
Co-Authors Chastine Fatichah Henning Titi Ciptaningtyas Khakim Ghozali Milenia Ulwan Zafira Muchammad Husni Ridho Rahman Hariadi Siska Arifiani