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A Multilevel Digital Image Thresholding Technique Based on an Enhanced Firefly Algorithm with Neighborhood Attraction
Suleiman, Abdulkarim Bashir
; Donfack, Kana Armand Florentin
; Muhammad, Abdulkarim
; Haruna, Muhammad Jumare
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Digital image segmentation is essential in image processing, influencing the accuracy of higher-level tasks. Thresholding is widely used, yet identifying optimal threshold values remains challenging. The Firefly Algorithm with Neighbourhood Attraction (FaNA), a metaheuristic approach, is efficient for color image thresholding but underperforms on grayscale images due to suboptimal thresholds. To overcome this, an enhanced version (eFaNA) was developed by integrating a chaotic tent map for popula...
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Analisis kinerja PT Bank Syariah Indonesia Tbk melalui pendekatan Balanced Scorecard
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 2
(2025)
The Balanced Scorecard (BSC) approach enables a more holistic performance evaluation by considering non-financial aspects as equally important as financial indicators. Findings from this study indicate that PT Bank Syariah Indonesia Tbk (BSI) has not only achieved strong financial performance following the merger, but has also demonstrated significant progress in other strategic dimensions. From the financial perspective, BSI recorded solid profitability with an average Net Profit Margin (NPM) o...
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Evaluasi Performa Algoritma Klasifikasi dalam Prediksi Kekambuhan Kanker Tiroid Pasca Terapi RAI: Studi Kasus Dataset RAI Therapy
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 1
(2025)
Thyroid cancer is the most common endocrine malignancy, with a steadily increasing incidence rate. Although the overall survival rate is relatively high, the risk of recurrence after definitive treatment such as Radioactive Iodine (RAI) therapy remains a significant clinical challenge. Predicting recurrence risk is crucial for optimizing monitoring strategies and interventions. With advances in technology, machine learning (ML) approaches are increasingly utilized to support medical predictions,...
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Pengembangan Kompetensi Pelaku Usaha Mikro Kecil Menengah Kelurahan Purwodiningratan Surakarta Guna Mewujudkan Digital Preneur
Veronika, Prima
; Ramadhani, Navadilla
; Ragacitta, Nareswari Rineka
; Prabandaru, Nirmana Ratri
; Firdausi, Nabila Nuzulla
; Taib, Nabil Abdurrahman
; Tamelia, Nurdina
; Naharunna, Nana
; Ibrahim, Syahlaa’ Shoofi
; Rahmawati, Aditya Nur
; Djatunnisa, Ifa
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 1
(2025)
This UMKM socialization activity aims to develop the digital competence of UMKM actors in order to create digital entrepreneurs who can compete with the complex dynamics of today's market. With the digitalization of UMKM actors, It is anticipated that UMKM owners will recognize the significance of strengthening their understanding of financial management, marketing strategies, and the application of appropriate technology, so that they can position their businesses effectively and efficiently. T...
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Kontribusi Big Data Analytics dalam Proses Audit Terhadap Audit Delay dan Kualitas Audit
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
The use of Big Data Analytics (BDA) in the financial audit process has altered the traditional audit method by improving audit quality and efficiency. The purpose of this study is to critically assess BDA's role in reducing audit delays and increasing audit quality. Using a literature review approach, this study intends to consolidate findings from national and international studies published between 2017 and 2024 that focus on the role of BDA in audit procedural transformation, fraud detection,...
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A Comparative Analysis of an Enhanced Hybrid Model for Predicting Dollar Against Naira Exchange Rate Using Deep Learning and Statistical Methods
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
In today’s global economy, accurately predicting foreign exchange rates or estimating their trends correctly is crucial for informed investment decisions. Despite the success of standalone models like ARIMA and deep learning models like LSTM, challenges persist in capturing both linear and nonlinear dynamics in highly volatile exchange rate environments. Motivated by the limitations of these individual models and the need for more robust forecasting tools, this study proposes a hybrid ARIMA-LSTM...
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An Intelligent Route Planning Approach Using Modified Particle Swarm Optimization for Robot Assisted Minimally Invasive Surgery
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Minimally invasive surgery offers several advantages, including reduced blood loss, smaller incisions, less pain, and a lower risk of complications than open surgery. This approach enhances patient comfort and supports faster recovery. When guided by optimal path planning, surgical robots can accurately navigate the body to remove malignant tumors with high precision. This study proposes a Modified Particle Swarm Optimization (MPSO) algorithm to determine the optimal path for robotic-assisted mi...
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Inovasi Sosial dan Kewirausahaan Sosial
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 1
(2025)
Inovasi sosial dan kewirausahaan sosial telah menjadi strategi utama dalam menciptakan solusi berkelanjutan bagi tantangan sosial dan ekonomi yang tidak dapat diselesaikan oleh pendekatan bisnis konvensional. Makalah ini bertujuan untuk: 1) Menganalisis inovasi sosial dan perannya dalam kewirausahaan sosial; 2) Mengidentifikasi hubungan antara inovasi sosial dan keberlanjutan UMKM dalam konteks ekonomi berbasis dampak sosial; 3) Menjelaskan faktor-faktor utama yang mempengaruhi keberhasilan kewi...
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Konstruksi Sosial tentang Dukungan Organisasi : Studi Fenomenologi Sosial terhadap Keterlibatan Kerja Tenaga Kerja Sosial di Dinas Sosial Kota Malang
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 2
(2025)
In the modern work environment, perceived organizational support is an important factor in increasing work engagement and productivity. Organizations that provide emotional, professional, and structural support to employees tend to have a more motivated, loyal, and productive workforce. However, social workers, especially in the Malang City Social Service, often experience minimal organizational support, resulting in work stress, burnout, and high employee turnover. Most previous studies have us...
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Transformasi Artificial Intelligence dalam Akuntansi Keuangan: Inovasi dalam Pengambilan Keputusan atau Memunculkan Tantangan Baru?
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 1
(2025)
Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial...
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