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Analisis Pola Pembelian Pelanggan Menggunakan Algoritma Squeezer, Apriori dan FP-Growth Pada Toko Bangunan
Faris Syaifulloh
; Eva Yulia Puspaningrum
; M. Muharram Al Haromainy
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 3
(2024)
To compete with other stores, store owners need to design various strategies, one of which is understanding customer purchase patterns. This article examines the Squeezer algorithm and compares the performance of the Apriori and FP-Growth algorithms in forming customer purchase association patterns that can be used as a reference for store owners in planning sales strategies. The data mining process was carried out using Association Rules and Clustering methods. A total of 1256 sales transaction...
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Analisa Komparasi Algoritma Machine Learning dan Deep Learning Dalam Klasifikasi Citra Ras Kucing
Royan Fajar Sultoni
; Achmad Junaidi
; Eva Yulia Puspaningrum
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 3
(2024)
Cats (Felis catus) are a type of carnivorous mammal from the Felidae family that was domesticated and has been one of the animals that has mingled with humans since time immemorial. Domestic cats are broadly divided into 2 types, namely village cats and purebred cats. Purebred cats have quite a varied number of types. Therefore, confusion often occurs in determining the type or breed of cat. Meanwhile, in practice, each race does not have the same treatment (especially in the aspect of care). In...
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Perbandingan Algoritma Deep Q-Network dan Local Outlier Factor Untuk Deteksi Anomali Konsumsi Air Minum Pelanggan PUDAM Kabupaten Banyuwangi
Andhika Ahnaf Daniswara
; Basuki Rahmat
; Eva Yulia Puspaningrum
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 4
(2024)
Adequate provision of drinking water in quantity, quality, and continuity is needed to realize a healthy and productive society. A well-managed Drinking Water Supply System (SPAM) is essential to meet this need. Based on Government Regulation Number 122 of 2015, the implementation of SPAM involves the development and management of drinking water which is the responsibility of the local government and PUDAM as the implementer. The main challenges faced by PUDAM include the high level of water los...
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Perbandingan Performa Labeling Lexicon InSet dan VADER pada Analisa Sentimen Rohingya di Aplikasi X dengan SVM
Muhammad Fernanda Naufal Fathoni
; Eva Yulia Puspaningrum
; Andreas Nugroho Sihananto
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 3
(2024)
Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the la...
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Studi Performa TF-IDF dan Word2Vec Pada Analisis Sentimen Cyberbullying
Ahmad Hilman Dani
; Eva Yulia Puspaningrum
; Retno Mumpuni
Router : Jurnal Teknik Informatika dan Terapan
Vol 2
, No 2
(2024)
On August 14, 2023, Indonesia had approximately 228 million social media users, a number that is expected to continue growing to reach 267 million by 2028. Social media can be used to spread both positive and negative information, and one of the various negative effects is cyberbullying. Consequently, much research is conducted in the field of machine learning to develop sentiment analysis. One crucial step in sentiment analysis is word weighting. The two most common word weighting methods are T...
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Implementasi Algoritma K-Nearest Neighbor (KNN) untuk Identifikasi Penyakit pada Tanaman Jeruk Berdasarkan Citra Daun
Abiyan Naufal Hilmi
; Eva Yulia Puspaningrum
; Henni Endah Wahanani
Router : Jurnal Teknik Informatika dan Terapan
Vol 2
, No 2
(2024)
The development of image processing technology today can create systems that are able to effectively recognize digital images, one of which is in the field of agriculture for plant disease identification. Citrus plants experience a decrease in productivity due to pathogen attacks on leaves such as Black Spot, Cancer, and CVDP so that disease identification is needed. The classification method that can be used to classify images is the K-Nearest Neighbor (K-NN) algorithm because it is simple and...
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Perbandingan Kinerja Arsitektur Resnet-50 Dan Googlenet Pada Klasifikasi Penyakit Alzheimer Dan Parkinson Berbasis Data MRI
Shawn Hafizh Adefrid Pietersz
; Basuki Rahmat
; Eva Yulia Puspaningrum
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Vol 2
, No 2
(2024)
Alzheimer's and Parkinson's diseases are neurodegenerative conditions that affect the brain, with Alzheimer's causing cognitive and behavioral decline, while Parkinson's leads to motor and non-motor impairments. Both diseases have significant impacts on the health and quality of life of patients, with prevalence increasing in recent years. Although the exact causes of these diseases are still unknown, MRI (Magnetic Resonance Imaging) is widely used to detect brain activity and serves as one of t...
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Optimasi Pengenalan Posisi Plat Nomor Kendaraan Menggunakan Kombinasi Metode MSER Dan Harris Corner
Bagus Sutikno Putra
; Eva Yulia Puspaningrum
; Hendra Maulana
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Vol 2
, No 2
(2024)
The research proposes an innovative approach to identifying and positioning vehicle number plates using a combination of Maximally Stable Extremal Regions (MSER) and Harris Corner methods. The MSER method is used to detect stable regions on the vehicle number plate image. MSER has the ability to recognize areas that have significant contrast intensity, which often represents the characteristic of the number plate. After identifying the potential regions, the Harris Corner method was applied to d...
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