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 1–10 dari 64 artikel
UPAYA PENINGKATAN KINERJA PEGAWAI MELALUIKEPEMIMPINAN DIGITAL, KNOWLEDGE SHARINGDAN PERILAKU INOVASI(Studi Empiris pada Kecamatan Se-Kabupaten Pemalang)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis peran kepemimpinan digital, knowledge sharing baik secara langsung maupun tidak langsung melalui perilaku inovasi terhadap kinerja pegawai pada pegawai Kecamatan se-Kabuptaen Pemalang. Populasi yang digunakan pada penelitian ini adalah pegawai ASN sebanyak 217 responden. Sampel yang digunakan menggunakan rumus slovin sebanyak 141 responden. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis yang digunakan...
Sumber Asli
Google Scholar
DOI
Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee
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...
Sumber Asli
Google Scholar
DOI
Pengaruh Penempatan Kerja, Fringe Benefits dan Fasilitas Kerja Terhadap Kinerja Karyawan Jawa Pos Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This research aims to analyze the influence of job placement, fringe benefits, and work facilities on the performance of employees at Jawa Pos Kediri, both partially and simultaneously. The method used is quantitative with a descriptive and associative approach. Data were collected through the distribution of questionnaires to 50 respondents who are employees of Jawa Pos Kediri. The data analysis techniques used include multiple linear regression, t-test (partial), F-test (simultaneous), and the...
Sumber Asli
Google Scholar
DOI
PENGARUH LAMA PENGASAPAN DAN PENYIMPANAN TERHADAP BERAT, KARAKTERISTIK KIMIA DAN TOTAL MIKROBA TELUR ITIK ASIN
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
One of the various salted egg products with smoking methods is smoked salted eggs which have a distinctive aroma and taste. This study aims to determine the effect of smoking and storage time and its interaction on smoked salted eggs with on physical and chemical properties, total microbes as well. This research is experimental by using ducks eggs and a mixture of coconut shells and fibers, and rice husks as smoke fuel. The experimental design used is Randomized Complete Block Design (R...
Sumber Asli
Google Scholar
DOI
Analisis Sentimen Terhadap Isu Pemblokiran Thrifting Pada Platform TikTok Menggunakan Bidirectional Long Short-Term Memory
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...
Sumber Asli
Google Scholar
DOI
Klasifikasi Preferensi Destinasi Wisata Gunung dan Pantai Menggunakan Metode Deep Learning
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...
Sumber Asli
Google Scholar
DOI
Prediksi Konsentrasi PM2.5 Resolusi 15 Menit di Kabupaten Brebes Menggunakan Transformer dan GEOS-CF NASA
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...
Sumber Asli
Google Scholar
DOI
Pengaruh EPS, NPM, ROA, ROE Terhadap Harga Saham Pada PT Ciputra Development Tbk Periode 2016-2023
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2025)
This study aims to examine the effect of profitability ratios, namely Earnings per Share (EPS), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE), on the stock price of PT Ciputra Development Tbk during the 2016–2023 period. The research employs a quantitative approach with a causal research design using secondary data derived from quarterly financial statements and stock closing prices published by the Indonesia Stock Exchange. The data were analyzed using multiple lin...
Sumber Asli
Google Scholar
DOI
Klasifikasi Huruf Hijaiyah Berbasis Citra Digital Menggunakan Metode Convolutional Neural Network (CNN)
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...
Sumber Asli
Google Scholar
DOI
Klasifikasi Jenis Sampah Organik Dan Anorganik Menggunakan Convutional Neural Network Berbasis Citra Digital
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...
Sumber Asli
Google Scholar
DOI