Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–7 dari 7 artikel
Jasmine Flower Classification with CNN Architectures: A Comparative Study of NasNetMobile, VGG16, and Xception in Agricultural Technology
Saputra, Danar Bayu Adi
; Sari, Christy Atika
; Rachmawanto, Eko Hari
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Jasmine flowers have many benefits and uses such as for traditional medicine, tea, perfume, cosmetics, decoration, and others. in the selection of fresh jasmine flowers for making tea is very important, currently the classification of jasmine flowers for making tea is mostly still using manual methods. Often influenced by individual preferences, opinions, or biases. this causes a lack of objectivity and uncertainty in the classification of jasmine flowers. The manual method is very weak due to h...
Sumber Asli
Google Scholar
DOI
2 Sitasi
Classification of Corn Leaf Disease Using Convolutional Neural Network
Ariska, Ratih
; Sari, Christy Atika
; Rachmawanto, Eko Hari
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Corn is a crop that plays a major role in food supply worldwide. Known as a cereal crop with high economic value, corn is one of the most important raw materials in the agricultural industry in many parts of the world. Leaf blight is characterized by small spots that gradually enlarge and turn brown. It is a decay of foliage caused by the fungus or species Rhizoctonia solani. Leaf spot is caused by the fungus Hel-minthoporium maydis, while stem rot is caused by Fusarium granearum. From these pro...
Sumber Asli
Google Scholar
DOI
3 Sitasi
Implementation of DenseNet121 Architecture for Waste Type Classification
Zulhusni, Munis
; Sari, Christy Atika
; Rachmawanto, Eko Hari
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
The growing waste management problem in many parts of the world requires innovative solutions to ensure efficiency in sorting and recycling. One of the main challenges is accurate waste classification, which is often hampered by the variability in visual characteristics between waste types. As a solution, this research develops an image-based litter classification model using Deep Learning DenseNet architecture. The model is designed to address the need for automated waste sorting by classifying...
Sumber Asli
Google Scholar
DOI
6 Sitasi
Classification of Movie Recommendation on Netflix Using Random Forest Algorithm
Salsabila, Alifia Salwa
; Sari, Christy Atika
; Rachmawanto, Eko Hari
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
Netflix is one of the most popular streaming platforms in this world. So many movies and shows with various genres and production countries are available on this platform. Netflix has their own recommendation systems for the subscribers according to their data and algorithm. This research aims to compare two methods of data classifications using Decision Tree and Random Forest algorithm and make a recommendation system based on Netflix dataset. This paper use feature importance to selecting rele...
Sumber Asli
Google Scholar
DOI
4 Sitasi
The AirNav Semarang Employee Presence System Using Face Recognition Based on Haar Cascade
Azzahra, Fidela
; Sari, Christy Atika
; Rachmawanto, Eko Hari
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
The presence of employees is a key factor in supporting the needs of the workplace. At present, the employee presence system at PT. AirNav Indonesia Semarang Branch still uses fingerprint and RFID-based employee ID cards for authentication. This RFID-based system can increase employee fraud by allowing employees to misuse each other's ID cards. To avoid such fraud, a system needs to be built and it will be using face recognition technology as the primary authentication method, with the Haar Casc...
Sumber Asli
Google Scholar
DOI
1 Sitasi
OPTIMASI EKSTRAKSI FITUR PADA KNN DALAM KLASIFIKASI PENYAKIT DAUN JAGUNG
Rachmawanto, Eko Hari
; Hadi, Heru Pramono
Dinamik
Vol 26
, No 2
(2021)
Di Indonesia jagung sering digunakan sebagai komoditas utama makanan pokok selain nasi. Tanaman jagung memiliki potensi terkena penyakit ataupun serangan hama kapan saja yang menyebabkan gagal panen. Penyakit yang dapat menyerang tanaman jagung bisa dilihat dari perubahan daun. Deteksi dini terhadap penyakit dapat mencegah penyakit menyebar lebih luas, salah satunya dengan perubahan yang terjadi pada daun jagung. Penelitian ini mencoba melakukan identifikasi daun yang tidak sehat dengan cara eks...
Sumber Asli
Google Scholar
DOI
UJI IMPLEMENTASI ALGORITMA VIOLA-JONES DALAM PENGENALAN WAJAH
Jatmoko, Cahaya
; Setiadi, De Rosal Ignatius Moses
; Hartanto, Danu
; Kurniawan, Alvin Faiz
; Rachmawanto, Eko Hari
; Sari, Christy Atika
; Nilawati, Florentina Esti
Dinamik
Vol 25
, No 2
(2020)
Salah satu algoritma yang sering digunakan untuk melakukan deteksi pada wajah yaitu Viola-Jones. Metode ini merupakan gabungan dari 3 buah fitur yaitu integral image, adaboost dan cascade classifier. Masing-masing fitur mempunyai fungsi tersendiri dan saling melengkapi. Integral image digunakan dalam penentuan ada dan tidaknya gambar, adaboost untuk memilih dan mengatur nilai threshold, sedangkan cascade classifier untuk mengklasifikasi daerah yang akan di deteksi. Untuk memudahkan deteksi, teru...
Sumber Asli
Google Scholar
DOI