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Penyuluhan Terkait Penggunaan Tepung Komposit untuk Peningkatan Nutrisi Produk Pangan pada Ibu Hamil
Abdi Geomedisains
Vol 6
, No 2
(2026)
Based on reports from Ngemplak 1 Public Health Center (Puskesmas Ngemplak 1) in Sleman in 2023, the number of stunted children under five has not shown a significant decrease, although the prevalence has fallen below 14%. The prevalence of stunting was 12% in 2022 and decreased by only 0.2% in 2023. This figure is still below the Sleman District target, which requires a reduction to 7%. One of the groups at risk for stunting is pregnant women. The knowledge of pregnant women regarding food proce...
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Pelatihan Pemetaan Lahan Pertanian dengan Penginderaan Jauh di Dinas Pertanian Kota Kupang
Ngana, Frederika Rambu
; Tanesib, Jehunias Leonidas
; Warsito, Ali
; Lapono, Laura Anastasi Seseragi
; Ngara, Zakarias Seba
; Pingak, Redi Kristian
Abdi Geomedisains
Vol 6
, No 2
(2026)
The Physics Study Program, Faculty of Science and Engineering, Nusa Cendana University, conducted a Community Service (PkM) activity at the Department of Agriculture in Kupang City on September 24, 2024. The partners in this community service activity were the Department of Agriculture in Kupang City, Nusa Tenggara Timur Province. The partners faced a challenge in manually measuring the area of agricultural land, particularly in remote areas. Therefore, the PkM team provided training in agricult...
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Peran Dinas Komunikasi dan Informatika Kabupaten Lamongan dalam Pengambilan Keputusan Melalui Program Megilan Inovasi dan Teknologi
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The Lamongan Regency Communication and Informatics Office plays a strategic role in supporting regional government decision-making through the implementation of the Megilan Innovation and Technology Program. The role of the Lamongan Regency Communication and Informatics Office in this program is realized as the main manager of digital information and archive systems that serve as the basis for providing data and information for regional leaders. Through the Megilan Innovation and Technology Prog...
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Prediksi Aritmia pada Lansia mengunakan Linear Regression berdasarkan Data Ekg
Dinamik
Vol 31
, No 1
(2026)
This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into tr...
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The Balinese Li Ceremony Tradition as Evidence of the Legacy of Animistic Beliefs and Dynamism in the Community of Datar Village, Muaradua District, South Oku Regency (2007-2014)
Keraton: Journal of History Education and Culture
Vol 7
, No 2
(2026)
The origin and owner ceremony tradition Li Bali are the property of the tribe Power is taken from the highlands of the mountain areas Seminung / Lake Ranau, then this tradition brought by the power spread of riparian komering in Muaradua to go into the rural areas as well as in the village of Flat , Li Bali ceremony tradition is a tradition or custom series of activities undertaken by the Power to seek peace, and demand protection from spirits who inhabit the forest in time would dilakukanya for...
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Dampak Model Mental Pengguna terhadap Implementasi Multi-Factor Authentication untuk Mitigasi Risiko Password Guessing di Konteks Organisasi
Dinamik
Vol 31
, No 1
(2026)
This study conducts a Systematic Literature Review (SLR) to explore the impact of users’ mental models on the implementation of Multi-Factor Authentication (MFA) as a strategy for mitigating password guessing risks in organizational environments. Amid the growing landscape of cyber threats, single-factor authentication has proven to be vulnerable, making MFA an essential layered security solution. However, the adoption of MFA remains slow. Existing studies indicate that expert users perceive MFA...
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Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
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Pemodelan Tren Kasus Hiv dan Klasterisasi Wilayah menggunakan Algoritma K-Means dan Decision Tree - Studi Kasus di Kabupaten Bogor
Dinamik
Vol 31
, No 1
(2026)
Infectious diseases remain a dynamic and evolving public health threat, requiring data-driven approaches for early detection and targeted policy planning. This study aims to model spatio-temporal trends and clustering patterns of HIV transmission in Bogor Regency during the period 2020–2023 by utilizing a combination of unsupervised and supervised machine learning techniques. The dataset was obtained from the Bogor Regency Health Office and includes annual data on the number of HIV cases across...
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SuperBoost-AllerScan: Allergen Detection in Food Products - Data Mining and Machine Learning Approach
Dinamik
Vol 31
, No 1
(2026)
Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and...
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Penerapan Elliptic Curve Digital Signature Algorithm (ECDSA) dalam Blockchain untuk Sistem Pembayaran Digital Indonesia
Dinamik
Vol 31
, No 1
(2026)
This research examines the application of the Elliptic Curve Digital Signature Algorithm (ECDSA) in a blockchain system as a security solution for digital payment systems in Indonesia. Using a descriptive-qualitative approach based on literature review and conceptual simulations using Python, this study discusses the working principles of ECDSA, its advantages over other digital signature algorithms, and the challenges of its adoption in Indonesia. The results show that ECDSA provides high crypt...
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