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Edukasi dan Skrining Kasus Diabetes pada Pelajar di SMA Negeri 1 Palu
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 1
(2025)
Diabetes is a chronic disease that makes the body lose its ability to produce insulin or begin to use it less efficiently leading to high blood sugar. Without proper treatment, over time, this disease can lead to more serious health problems such as heart disease, vision loss, and kidney disease. Early detection and prevention are crucial in mitigating these risks. This study focuses on conducting an early screening for diabetes among high school students at SMA Negeri 1 Palu. Additionally, this...
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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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1 Sitasi
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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Leveraging SAMME for Improved Multi-Class Cirrhosis Diagnosis in Clinical Settings
Sulistyawati, Arum Kurnia
; Meliala, Dyan Avando
; Soejono, Ajie Wibowo
; Sari, Dini
; Hiswati, Marselina Endah
; Diqi, Mohammad
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 1
(2025)
This study explores the use of the SAMME algorithm to develop a predictive model for identifying various stages of cirrhosis. The dataset includes 418 records with 20 attributes, targeting the classification of cirrhosis stages: C (censored), CL (censored due to liver transplantation), and D (death). The model achieved an overall accuracy of 94%, demonstrating high precision and recall for classes C and D. However, the precision for class CL was lower, indicating a tendency to over-predict this...
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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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Effectiveness of Using E-Modules Oriented by Ethnopedagogical Approaches to Early Childhood Social Learning Materials on Students' Pedagogical Competence
Suningsih, Taruni
; Rukiyah
; Andika, Windi Dwi
; Ilhami, Akmillah
; Anggraini, Rike
; Andrianza, Yossy
Paudia
Vol 14
, No 2
(2025)
This study aims to determine the effectiveness of the use of ethnopedagogical approach-oriented e-modules in early childhood social learning materials on the pedagogical competence of prospective PAUD teacher students. The type of research used was a pre-experiment with a one group pre-test post-test design, involving 38 students as subjects. Data collection was carried out through multiple-choice objective tests in the form of pre-tests (before treatment) and post-tests (after treatment). The r...
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Artificial Intelligence in Personalized Marketing: Strategies for Enhancing Consumer Engagement
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 2
(2025)
This study examines the use of artificial intelligence (AI) in personalized marketing to boost consumer engagement. Using a systematic literature review from Scopus, DOAJ, and Google Scholar, it finds that AI helps predict consumer behavior, optimize communication, and deliver real-time adaptive content. These capabilities enhance customer satisfaction and loyalty. However, challenges such as data privacy, ethical concerns, and the need for human oversight remain. The study recommends investing...
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2 Sitasi
Spectral and Molecular Modifications of Hydrophilic Silica Aerogel: A Study on Doping Effects and Structural Evolution
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 2
(2025)
Silica gel has recently become an interesting material because of its importance in many applications in several fields such as medicine and sustainable technology. It has been found that the impregnation of some materials improves the synthetic properties of silica. Silica gel was prepared via mixed TEOS: ethanol: hydrochloric acid with molar ratios of 2:10:1.5. After doping with Diethyl in different concentrations 10-4, 10-5, and 10-6) g/cm3, the molecular properties were studied by examining...
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1 Sitasi