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A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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Strategi Manajemen Operasional, Pemasaran, dan Evaluasi Keuangan UMKM Bolu Kambu Daeng Rosi Dalam Meningkatkan Daya Saing Produk Tradisional di Kabupaten Barru
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the operational and marketing strategies of UMKM Bolu Kambu Daeng Rosi in enhancing the competitiveness of traditional food products in Barru Regency, South Sulawesi. The research uses a descriptive qualitative approach with a case study method, through guided observation, semi-structured interviews, and documentation. The findings show that the enterprise's strengths lie in its culturallybased product differentiation and strong customer loyalty. However, the business...
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Strategi Pemulihan UMKM di Kelurahan Lapadde, Kota Parepare Pasca Pandemi Covid-19 Sejak 2022-2025
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
The COVID-19 pandemic has had a major impact on the sustainability of Micro, Small, and Medium Enterprises (MSMEs), including those in Lapadde Subdistrict, Parepare City. This study aims to identify the recovery strategies implemented by MSME actors during the 2022–2025 period, as well as the factors that support and hinder the recovery process. The research employed a descriptive qualitative method, with the study conducted in Lapadde Subdistrict on December 1, 2025. The sample consisted of fiv...
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Pengembangan Sistem Presensi Pegawai DesaBerbasis Iot Dan RFID Untuk MeningkatkanEfisiensi Administrasi
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
The manual employee attendance process at the Perjuk Village government level often results in inaccurate data, delayed recapitulation, and difficulties in real-time attendance monitoring. This study aims to develop an Internet of Things (IoT) and Radio Frequency Identification (RFID)-based village employee attendance system to simplify the administrative process and improve the efficiency of attendance recording. The development method used is the Research and Development (R&D) model with s...
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EDANet: A Novel Architecture Combining Depthwise Separable Convolutions and Hybrid Attention for Efficient Tomato Disease Recognition
Ibrahim, Yusuf
; O. Momoh, Muyideen
; O. Shobowale, Kafayat
; Mukhtar Abubakar, Zainab
; Yahaya, Basira
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Tomato crop yields face significant threats from plant diseases, with existing deep learning solutions often computationally prohibitive for resource-constrained agricultural settings; to address this gap, we propose Efficient Disease Attention Network (EDANet), a novel lightweight architecture combining depthwise separable convolutions with hybrid attention mechanisms for efficient Tomato disease recognition. Our approach integrates channel and spatial attention within hierarchical blocks to pr...
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Pengaruh Komunikasi dan Budaya Organisasi Terhadap Kinerja Pegawai Pada Kantor BPKAD Kota Bima
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 3
(2025)
This study aims to determine the influence of communication and organizational culture on employee performance at the Bima City BPKAS Office. The instrument used in this study was a Likert-scale questionnaire. The sample consisted of 40 respondents selected using purposive sampling. Data collection techniques included observation, questionnaires, and literature review. Data analysis used multiple linear regression with SPSS for Windows. The results indicate that, partially and simultaneously, co...
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Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression
Jurnal Elektronika dan Komputer
Vol 18
, No 1
(2025)
This study presents a machine learning approach for predicting the dimensions of microstrip antenna slots based on antenna performance parameters such as frequency, gain, directivity, return loss (S11), radiation efficiency, and VSWR. A two-phase methodology was employed. In the first phase, ten regression algorithms were evaluated, and Random Forest was identified as the most effective model based on Mean Absolute Error (MAE) and R-squared (R²) scores. In the second phase, hyperparameter tuning...
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Studi Pustaka: Transformasi Kota Cerdas dengan Teknologi Kecerdasan Buatan untuk Meningkatkan Sumber Daya Manusia yang Berdaya Saing
Wati, Vera
; Wati, Vera
; Nugrahantoro, Achmad
; Irawan, Joko
; Yusuf, Arif Maulana
; Iswanto, Muhammad Edi
Jurnal Elektronika dan Komputer
Vol 18
, No 1
(2025)
Penerapan konsep kota cerdas menjadi arah strategis dalam mengelola kompleksitas urbanisasi sekaligus meningkatkan kualitas sumber daya manusia agar lebih adaptif dan kompetitif. Namun, dalam praktiknya, masih ditemukan berbagai permasalahan seperti keterbatasan infrastruktur digital, rendahnya literasi teknologi masyarakat, serta belum optimalnya integrasi teknologi dalam tata kelola kota. Kesenjangan ini dapat menghambat upaya membangun SDM yang berdaya saing tinggi. Studi ini bertujuan untuk...
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Strategi Mempertahankan Eksistensi Profesi Akuntan Syariah di Era Revolusi Industri 5.0
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
The aim of this research is to show how to maintain the existence of the sharia accounting profession in the era of industrial revolution 5.0 in Indonesia. The research method is qualitative with the type of literature study. The results of the research are that strategies for maintaining the existence of the sharia accounting profession in the era of the industrial revolution 5.0 in Indonesia can still be maintained in various ways, namely: (1) Designing assignments that are non-routine and uns...
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Penerapan Algoritma Klasifikasi Naïve Bayes Untuk Analisis Sentimen Tentang Pemilu 2024
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
The news about the proposal of the government of the Republic of Indonesia regarding the postponement of the 2024 elections is certainly an interesting discussion. In this research, sentiment analysis will be carried out on the issue of postponing the election. In this study, a dataset obtained using the crawling technique was obtained in the amount of 1280 tweet data about the postponement of the 2024 election. Data labeling in this study uses lexicon-based techniques with Indonesian dictionari...
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