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PENGARUH KNOWLEDGE SHARING DAN PEMBERDAYAAN PEGAWAI TERHADAP KINERJA PEGAWAI MELALUI KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING(STUDI PADA PEGAWAI DINAS PEMBERDAYAAN PEREMPUAN DAN PERLINDUNGAN ANAK DAN PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KABUPATEN PEKALONGAN)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis pengaruh knowledge sharing dan pemberdayaan pegawai terhadap kinerja pegawai melalui kepuasan kerja sebagai variabel intervening pegawai di Dinas Pemberdayaan Perempuan, Perlindungan Anak, Pengendalian Penduduk dan Keluarga Berencana Kabupaten Pekalongan. Populasi yang digunakan dalam penelitian ini adalah seluruh pegawai di Dinas Pemberdayaan Perempuan, Perlindungan Anak, Pengendalian Penduduk dan Keluarga Berencana Kabupaten Pekalongan yang berjumlah...
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KEPEMIMPINAN AUTENTIK DAN PENYESUAIAN PEKERJAAN:INFLUENSI KETERLIBATAN KERJA TERHADAP KINERJA PEGAWAI DINAS PERHUBUNGAN KABUPATEN PEMALANG
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini dilatarbelakangi oleh pentingnya peningkatan kinerja pegawai sektor publik yang sering terkendala birokrasi, budaya organisasi hierarkis, dan regulasi ketat. Kepemimpinan autentik dan penyesuaian pekerjaan dipandang sebagai faktor yang dapat
memengaruhi kinerja pegawai baik secara langsung maupun melalui keterlibatan kerja. Kepemimpinan autentik berperan dalam menciptakan iklim kerja yang terbuka dan penuh integritas, sedangkan penyesuaian pekerjaan memberi ruang bagi pegawai me...
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DIGITAL DAN KNOWLEDGE SHARING MELALUI INOVASI DALAM OPTIMALISASI LAYANAN PUBLIK(Studi Empiris pada Kecamatan Se-Kabupaten Pemalang
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis peran pengembangan kompetensi digital dan knowledge sharing baik secara langsung maupun tidak langsung melalui inovasi terhadap optimalisasi layanan publik pada pegawai Kecamatan Se-Kabupaten Pemalang. Populasi yang digunakan pada penelitian ini adalah pegawai ASN sebanyak 217 responden. Sampel menggunakan rumus slovin sebanyak 141 responden. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis yang digunaka...
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Pengaruh Tingkat Pendidikan Terhadap Kualitas Laporan Keuangan Berbasis SAK EMKM Dengan Sistem Informasi Akuntansi Sebagai Variabel Moderasi : Studi Kasus Pada Coffee Shop Kota Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of education level on the quality of financial statements based on SAK EMKM, with accounting information systems as a moderating variable, focusing on coffee shop micro, small, and medium enterprises (MSMEs) in Kediri City, Indonesia. A quantitative approach was employed using primary data collected through structured questionnaires distributed to 32 business owners or financial managers selected by purposive sampling. Data were analyzed using descriptive st...
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Multimodal Deep Learning for Pneumonia Detection Using Wearable Sensors: Toward an Edge-Cloud Framework
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near...
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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...
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Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)
Ade Irgi Firdaus
; Ade Irgi Firdaus
; Dwi Okta Djoas
; Riefaldi Diofano Saputra
; Indry Anggraeny
; Hilda Apriliya Ningsih
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the...
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Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing
Masari, Maryam Sufiyanu
; Danladi, Maiauduga Abdullahi
; Onyinye, Ilori Loretta
; Tohomdet, Loreta Katok
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets an...
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Pengaruh Rasio Keuangan Terhadap Earning Per Share: Studi Sektor Makanan dan Minuman di Indonesia
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of Current Ratio (CR), Debt to Asset Ratio (DAR), and Inventory Turnover on Earning Per Share (EPS). This research employs a quantitative method with a causal-comparative ex-post facto approach. The population includes food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2023 period. The sampling technique used purposive sampling, resulting in 10 companies with a total of 40 observations. Data analysis was conducted using mul...
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Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product g...
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