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Penentuan Metode Augmentasi pada CNN Berdasarkan Metode Optimasi Fox untuk Klasifikasi Citra Ikan
Wahyudi, Firman
; Nugraini, Siti Hadiati
; Soeleman, Arief
; Pramunendar, Ricardus Anggi
; Andono, Pulung Nurtantio
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Automatic identification of fish species plays an important role in various fields such as conservation biology, fisheries management, and biological research. The Convolutional Neural Network (CNN) method has become an effective solution for automating this process using digital images. However, achieving high accuracy requires careful consideration of factors such as the quantity and quality of data, image preprocessing methods, feature extraction techniques, classification algorithms, and opt...
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Pengaruh Word Of Mouth, Citra Merek, dan Brand Ambassador Terhadap Kepuasan Konsumen Pada Produk Le Minerale
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 3
, No 3
(2025)
This study aims to analyze the effect of Word of Mouth (WOM), brand image, and brand ambassador on consumer satisfaction with Le Minerale in Wonodadi District, Blitar Regency. A quantitative approach with a descriptive design was applied. The study involved 128 respondents selected through accidental sampling. The research instrument was a four-point Likert scale questionnaire tested for validity and reliability before use. Data were analyzed using SPSS version 27, including validity and reliabi...
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Sistem Prediksi Penggunaan Bahan Baku Berbasis Odoo pada UMKM Permak dan Jahit Hafizh menggunakan Metode Least Square
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Micro, Small, and Medium Enterprises (MSMEs) play a significant role in economic development, especially in developing countries like Indonesia. In addition to supporting the economy, MSMEs help alleviate unemployment. Hafizh Permak and Jahit, an MSME in Semarang City, faces challenges in managing raw material usage, which can increase production costs and the risk of overstocking or understocking. This study aims to develop a web-based raw material usage prediction system using Odoo and the lea...
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Pengaruh Konten YouTube terhadap Penerimaan Mahasiswa Baru: Studi Analisis Sentimen BERT dan Korelasi Spearman
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study aims to analyze the relationship between the number of videos, views, positive comments, negative comments, and neutral comments with the number of new students at higher education institutions during 2021–2024. The data were obtained from three sources: (1) quantitative data on the number of new students from LLDIKTI, (2) data on the number of videos and views from YouTube, and (3) sentiment data from comments classified using the BERT algorithm into positive, negative, and neutral c...
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Pengembangan Aplikasi Pemesanan Menu Café dengan Metode Agile
winanti, winanti
; Darmawan, Dwiky
; Yusuf, Yusuf
; Tama, Ardy Riyantai
; Widiyanti, Dian
; Sa’adah, Fitria
; Septian, Indra
; Basuki, Sucipto
; Jumiran, Jumiran
; Nurasiah, Nurasiah
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The ordering system at Café XYZ is still carried out conventionally where customers must come directly to the café so that service is slow if there is a long queue. The purpose of developing a Café menu ordering application is to simplify and speed up the café menu service and check order reports that can be done in real time. The data collection method is carried out by direct observation at Café XYZZ. The application development uses the Agile method, and a website-based system. Application te...
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Comparative Study of Recurrent Neural Network (RNN) and Extreme Learning Machine (ELM) in Predicting Bank Central Asia’s Stock Price
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Predicting stock prices is an important financial topic, especially for investors who want to maximize profit and minimize risk. This research compares two machine-learning capabilities, a Recurrent Neural Network (RNN) and an Extreme Learning Machine (ELM), in predicting Bank Cental Asia (BBCA) stock prices. These two are chosen for their capabilities in handling time-series data. This research uses the data of BBCA’s daily prices over a certain period and involves several steps such as data co...
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Deteksi Jenis Jerawat Berbasis Android menggunakan Ensemble Deep Learning dengan Optimasi Layer Parsial
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Accurate classification of acne types is essential for determining the appropriate treatment. This study developed an automatic detection system based on Android using an ensemble Deep Learning approach and partial layer optimization to address the visual similarity challenges among different acne types. MobileNet and EfficientNetB0 were used as base models, then combined using majority voting and weighted averaging techniques. The dataset used consisted of 6,875 acne images that underwent prepr...
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Pengenalan Karakter Tulisan Tangan pada Dokumen Berita Acara Bimbingan Skripsi menggunakan Preprocessing dan YOLOv8
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Handwritten character recognition is one of the challenges in the field of digital image processing, especially in academic documents such as thesis guidance minutes. This study aims to compare the performance of the YOLOv8 model in detecting handwritten characters on two types of datasets, namely original images and preprocessed images. Preprocessing is carried out through the stages of grayscale, CLAHE, Gaussian blur, adaptive thresholding Gaussian, dilation, and erosion. Labels in the preproc...
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Exploration of Chlorella Sp. Microalgae Oil Extraction Method for Biodiesel Production
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
The decline in the availability of fossil fuels has driven the need for more sustainable alternative energy sources. Microalgae, particularly Chlorella sp., is one of the potential biomasses for biodiesel production due to its high lipid content, rapid growth, and lack of competition with food crops. This article aims to comprehensively review various methods of oil extraction from Chlorella sp. and assess their effectiveness and challenges to support the use of microalgae as a raw material for...
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Implementasi Digitalisasi Pemasaran Dan Pelatihan Packaging Dalam Peningkatan Daya Saing Ekonomi Kreatif Produk D & R Snack
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 2
(2025)
UMKM pada industri kreatif berkembang begitu pesat, tingkat literasi sangat berpengaruh terhadap tingkat pemahaman dan wawasan seseorang sehingga dapat berdampak positif dalam perkembangan ekonomi dan lingkungan tidak terkecuali pada UMKM D&R Snack. Permasalahan utama pada usaha UMKM D&R Snack adalah kurangnya pemahaman tentang digitalisasi pemasaran serta minimnya kemampuan dalam membuat packaging yang menarik calon konsumen sehingga barang yang di jual cenderung memiliki tampilan yang...
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