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PEMANFAATAN TEKNOLOGI DIGITALISASI BISNIS DI BIDANG PEMASARAN, PRODUKSI DAN KEUANGAN UNTUK MENINGKATKAN OMSET PENJUALAN PADA UMKM DI DESA KARANG SARI, DIENG KULON, BATUR, BANJARNEGARA
Perwira Journal of Community Development
Vol 6
, No 1
(2026)
Micro, Small, and Medium Enterprises (MSMEs) make a substantial contribution to Indonesia’s economy; however, they continue to face various challenges, particularly in the areas of marketing, production, and financial management. This community service program was implemented at UD. Maju Bareng, an MSME engaged in the production of carica preserves, located in Karang Sari Village, Dieng Kulon, Banjarnegara. Currently, UD. Maju Bareng has not optimally utilized digital technology in conducting it...
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Pengaruh Kenaikan Pajak Pertambahan Nilai (PPN) dan Inflasi Terhadap Volume Penjualan Studi Kasus pada PT Astra International Tbk Tahun 2022 - 2024
DHARMA EKONOMI
Vol 33
, No 1
(2026)
This study aims to analyze the impact of the increase in Value Added Tax (VAT) and inflation on the sales revenue of PT Astra International Tbk during the 2022–2024 period. The research employs a quantitative approach using multiple regression analysis to examine the relationship between VAT, inflation, and sales revenue. Secondary data were obtained from the company’s financial statements, inflation data from Statistics Indonesia (BPS), and VAT rate information from the Directorate General of T...
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An Attention-Enhanced CNN–RBF Framework for Network Intrusion Detection in Imbalanced Traffic
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for n...
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Design of IoT-Based Fire Monitoring Using Flame and Smoke Sensors (Dlimas Village)
Khusni, Mukhamad Iqbal
; Suasana, Iman Saufik
; Kurniawan, Dendy
; Khusni, Mukhamad Iqbal
; Suasana, Iman Saufik
; Kurniawan, Dendy
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Design and Development of Fire Monitoring System Based on Internet of Things Using Flame Sensor and Smoke Sensor (Case Study at Balai Desa Dlimas). Fire is a disaster that can cause significant losses in both material and human life. Early fire detection is crucial to minimize the potential impact. Balai Desa Dlimas, located in Banyuputih District, Batang Regency, currently lacks an adequate fire detection and monitoring system. Therefore, this study aims to design and implement a fire monitorin...
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Implementasi Penggunaan Teknik Keamanan Data Hashing Dan Limit Login Pada Login Sistem Pengelolaan Pencatatan Barang Dppesdm Berbasis Web
Syarhanazmi
; M. Miko Sahputra Sembiring
; Vima Zikra Adha Lubis
; Ilhamuddin Ilhamuddin
; Mhd. Furqan
Vol 5
, No 3
(2026)
Penelitian ini berfokus pada penguatan arsitektur keamanan modul autentikasi sistem SIGUDANG di DPPESDM Provinsi Sumatera Utara, yang sebelumnya memiliki kerentanan terhadap serangan brute force otomatis. Masalah utama yang diidentifikasi adalah risiko pengambilalihan akun secara ilegal akibat ketiadaan pembatasan laju permintaan (rate limiting) dan perlindungan kredensial yang kuat pada lapisan basis data. Tujuan penelitian ini adalah menciptakan sistem autentikasi yang tangguh melalui implemen...
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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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A Literature Review of Chatbot Utilization in Digital Education
Vol 5
, No 1
(2026)
Perkembangan teknologi kecerdasan buatan telah memberikan dampak signifikan pada berbagai sektor, termasuk sektor pendidikan. Salah satu implementasi kecerdasan buatan yang banyak digunakan adalah chatbot, program perangkat lunak yang dirancang untuk mensimulasikan percakapan melalui teks atau suara. Dalam pendidikan, chatbot berfungsi sebagai jembatan komunikasi antara manusia dan sistem digital, yang sangat populer berkat kemajuan dalam kecerdasan buatan, pembelajaran mesin, jaringan saraf, da...
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A Literature Review of Chatbot Utilization in Digital Education
Dewi, Kirana Isna
; Falasifa, Ima Muhimmah
; Nafasya, Faren Tresandra
; Dewi, Kirana Isna
; Falasifa, Ima Muhimmah
; Nafasya, Faren Tresandra
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Perkembangan teknologi kecerdasan buatan telah memberikan dampak signifikan pada berbagai sektor, termasuk sektor pendidikan. Salah satu implementasi kecerdasan buatan yang banyak digunakan adalah chatbot, program perangkat lunak yang dirancang untuk mensimulasikan percakapan melalui teks atau suara. Dalam pendidikan, chatbot berfungsi sebagai jembatan komunikasi antara manusia dan sistem digital, yang sangat populer berkat kemajuan dalam kecerdasan buatan, pembelajaran mesin, jaringan saraf, da...
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Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi
Purnomo, Rosyana Fitria
; Purnomo, Rosyana Fitria
; Yodhi Yuniarthe
; Hilda Dwi Yunita
; Fatimah Fahurian
; Ahmad Ikhwan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This articl...
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Analisis Pengaruh Tiktok Shop Terhadap Kecendrungan Perilaku Konsumtif Mahasiswa: Studi Kasus Mahasiswa MBS FAI UMSU
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
This study aims to analyze the influence of TikTok Shop usage on the tendency of consumptive behavior among students of the Sharia Business Management Study Program, Faculty of Islamic Studies, University Muhammadiyah North Sumatra. This research employs a descriptive qualitative method with data collection conducted through interviews using Google Forms. Respondents were selected using purposive sampling techniques, focusing on active students who frequently use TikTok Shop in their shopping ac...
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