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Implementasi Pemasaran Digital dan Online Branding sebagai Strategi Pengembangan UMKM
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The development of digital technology has triggered significant changes in marketing and brand management, particularly in the Micro, Small, and Medium Enterprises (MSMEs) sector. This study aims to conduct a comprehensive analysis of the implementation of digital marketing and online branding as strategies for developing MSMEs to increase competitiveness and business sustainability in the digital economy era. This study focuses on the use of social media, marketplaces, and various other digital...
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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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1 Sitasi
Analisis Rencana Kebijakan Pelibatan Ekspatriat pada Jajaran Direksi di PT. Garuda Indonesia
Raihani Khairunissa Barni
; Syarach Agusti Ekasuci
; Ayu Maulani
; Sabillah Azhari
; Tati
; Abdullah Qiqi Asmara
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The policy of involving expatriates in the board of directors of State-Owned Enterprises (SOEs) has become a debated issue, particularly regarding its implications for corporate governance and national workforce interests. The main problem discussed in this article is how the policy of expatriate involvement in the board of directors of PT Garuda Indonesia is viewed from the perspective of Good Corporate Governance (GCG). This study aims to analyze the suitability of the policy with GCG principl...
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Developing Artsteps-based Song Media to Make It Easier for Madrasah Ibtidaiyyah Students to Memorize Arabic
MAGISTRA: Media Pengembangan Ilmu Pendidikan Dasar dan Keislaman
Vol 16
, No 2
(2026)
Arabic language learning in Islamic Elementary Schools (MI) still faces various obstacles in improving students’ abilities, especially in memorizing vocabulary. This condition demands innovation in learning media that effectively supports the Arabic memorization process. This study aims to develop Artsteps-based song media to facilitate MI students’ memorization of Arabic. This study uses the Research and Development (R&D) method, which includes the stages of analysis, design, development, i...
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Perbandingan Performa Pembelajaran Mesin untuk Deteksi Ancaman Keamanan Aplikasi Web: Tinjauan Sistematis
Divala Zahra Oktavia
; Dwi Alvin Hidayat
; Desy Natalia
; Satria Krisna Prabantara
; Arief Arfriandi
Vol 5
, No 1
(2026)
Pemanfaatan aplikasi berbasis web yang semakin meluas di berbagai sektor menyebabkan meningkatnya risiko terhadap ancaman siber, termasuk serangan phising, DDoS, injeksi SQL, XSS, serta intrusi. Berbagai metode deteksi tradisional yang bersifat statis sering kali tidak mampu mengidentifikasi pola serangan baru yang bersifat dinamis. Untuk mengatasi keterbatasan tersebut, machine learning muncul sebagai pendekatan yang lebih adaptif karena mampu mempelajari pola perilaku, mendeteksi anomali, dan...
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Development of an IoT-Based Smart Water System Roadmap in Singkawang City through a Comparative Study of Surabaya and Balikpapan
Vol 5
, No 1
(2026)
The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility thr...
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Evaluasi Kualitas Layanan Website Umrah Menggunakan Kerangka E-Service Quality dan Customer Satisfaction Index
Jemparing Wibisono
; Anita Hakim Nasution
; Raulia Riski
; Desyka Widya Haryanti
; Auditya Fariz Chrisnadeva
Vol 5
, No 1
(2026)
Perkembangan teknologi informasi mendorong perusahaan jasa untuk menyediakan layanan digital yang berkualitas, termasuk dalam sektor perjalanan Umrah. Website Solusi Umrah milik PT Almansour Tours and Travel berfungsi sebagai media utama dalam penyampaian informasi dan layanan kepada pengguna, sehingga kualitas layanan website menjadi faktor penting dalam membentuk kepuasan pengguna. Oleh karena itu, evaluasi kualitas layanan website diperlukan untuk menilai sejauh mana layanan yang diberikan te...
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Perbandingan Performa Pembelajaran Mesin untuk Deteksi Ancaman Keamanan Aplikasi Web: Tinjauan Sistematis
Oktavia, Divala Zahra
; Hidayat , Dwi Alvin
; Natalia , Desy
; Prabantara, Satria Krisna
; Arfriandi, Arief
; Oktavia, Divala Zahra
; Hidayat , Dwi Alvin
; Natalia , Desy
; Prabantara, Satria Krisna
; Arfriandi, Arief
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Pemanfaatan aplikasi berbasis web yang semakin meluas di berbagai sektor menyebabkan meningkatnya risiko terhadap ancaman siber, termasuk serangan phising, DDoS, injeksi SQL, XSS, serta intrusi. Berbagai metode deteksi tradisional yang bersifat statis sering kali tidak mampu mengidentifikasi pola serangan baru yang bersifat dinamis. Untuk mengatasi keterbatasan tersebut, machine learning muncul sebagai pendekatan yang lebih adaptif karena mampu mempelajari pola perilaku, mendeteksi anomali, dan...
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Development of an IoT-Based Smart Water System Roadmap in Singkawang City through a Comparative Study of Surabaya and Balikpapan
Ernesto, Brian
; Prasetya, Jonathan Ansell
; Subrata, Kenneth Marchelino
; Siregar , Master Edison
; Ernesto, Brian
; Prasetya, Jonathan Ansell
; Subrata, Kenneth Marchelino
; Siregar , Master Edison
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility thr...
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DOI