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Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee
Muhimatul Ifadah
; Muhimatul Ifadah
; Bambang Irawan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-lang...
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Analisis Sentimen Terhadap Isu Pemblokiran Thrifting Pada Platform TikTok Menggunakan Bidirectional Long Short-Term Memory
Windi Astuti
; Windi Astuti
; Bambang Irawan
; Nur Ariesanto Ramdhan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can un...
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Prediksi Konsentrasi PM2.5 Resolusi 15 Menit di Kabupaten Brebes Menggunakan Transformer dan GEOS-CF NASA
Muhammad Fikri Setiawan
; Bambang Irawan
; Bambang Irawan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi k...
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Klasifikasi Preferensi Destinasi Wisata Gunung dan Pantai Menggunakan Metode Deep Learning
Andin Ayu Oksilia Ramadhani
; Andin Ayu Oksilia Ramadhani
; Bambang Irawan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence tec...
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Klasifikasi Huruf Hijaiyah Berbasis Citra Digital Menggunakan Metode Convolutional Neural Network (CNN)
Firyal Nabila Ulya H.M
; Firyal Nabila Ulya H.M
; Bambang Irawan
; Abdul Khamid
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Hijaiyah letters have varying shapes, and some of them are very similar, often causing errors in the manual character recognition process. This study aims to classify Hijaiyah letters based on digital images using the Convolutional Neural Network (CNN) method. This method was used in this study with a dataset consisting of 28 letter classes and a total of 4,480 images obtained from various public sources and private data. All images underwent a preprocessing stage that included labeling, resizin...
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Klasifikasi Jenis Sampah Organik Dan Anorganik Menggunakan Convutional Neural Network Berbasis Citra Digital
Nova Eliza
; Bambang Irawan
; Abdul Khamid
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning tec...
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Implementasi Metode WASPAS dalam Sistem Pendukung Keputusan Pemilihan Ketua OSIS di SMK Al-Ikhlas Losari
Najmuddin
; Najmuddin
; Nur Ariesanto Ramdhan
; Bambang Irawan
Jurnal Elektronika dan Komputer
Vol 18
, No 1
(2025)
The election of the OSIS chairman at SMK Al-Ikhlas Losari often influences subjectivity, so a goal-oriented system is needed to select the best candidate. This study applies the WASPAS method in a Decision Support System to broadcast OSIS chairman candidates based on criteria such as attendance, integrity, academic achievement, and health. Data were collected through observation, interviews, and literature studies, then processed using Microsoft Excel. The results of the WASPAS calculation yield...
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Perlindungan Hukum Bagi Pembeli Yang Beritikad Baik Dalam Perjanjian Jual Beli Tanah Di Bawah Tangan
Jurnal Akta Notaris
Vol 2
, No 1
(2023)
Perlindungan hukum bagi pembeli yang beritikad baik yang telah membeli tanah dari pihak penjual yang menurut peraturan perundang-undangan yang berlaku jual beli hak atas tanah hanya dapat didaftarkan apabila akta peralihan hak karena jual beli tersebut di buat oleh PPAT, tetapi pada kenyataannya masih banyak yang melakukan jual beli dibawah tangan.Permasalahan penelitian ini adalah 1) Bagaimana akibat hukum bagi pembeli yang beritikad baik dalam perjanjian jual beli tanah di bawah tangan? 2) Bag...
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