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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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Pesediaan Barang Skincare dengan Metode Scm pada PT. Nindy Glow Beauty Aesthetic di Sei Piring
Dinamik
Vol 31
, No 1
(2026)
Persaingan industri distribusi yang semakin ketat menuntut perusahaan untuk memiliki sistem manajemen persediaan yang efisien dan terintegrasi. PT. Nindy Glow Beauty Aesthetic, sebuah klinik kecantikan yang bergerak di bidang penjualan produk skincare di Sei Piring, saat ini masih menggunakan nota pembelian manual sebagai acuan informasi persediaan barang. Hal ini mengakibatkan data stok tidak akurat dan menghambat pengambilan keputusan. Penelitian ini bertujuan untuk mengembangkan sistem inform...
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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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Prediksi Jumlah Donor Darah menggunakan Pendekatan WMA dI Kantor PMI Kabupaten Asahan
Dinamik
Vol 31
, No 1
(2026)
The rapid development of information technology in today's digital era has significantly impacted organizational performance, particularly in data management and resource planning. One organization that heavily relies on accurate data availability is the Indonesian Red Cross (PMI), especially its Blood Donor Unit (UDD). UDD PMI of Asahan Regency faces challenges in determining monthly blood donor targets to maintain stable blood stock. A shortage of blood supply can be fatal for patients requiri...
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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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Evaluasi Kinerja Model Long Short-Term Memory dan Gated Recurrent Unit untuk Prediksi Magnitude Gempa Bumi Di Indonesia
Dinamik
Vol 31
, No 1
(2026)
This study aims to evaluate and compare the performance of two neural network architectures under the Recurrent Neural Network (RNN) category, namely Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), in predicting earthquake magnitude in Indonesia. The dataset used consists of daily earthquake magnitude records from 2008 to 2023, preprocessed into time series format and normalized using the MinMax method. The training process was conducted using various combinations of batch size and...
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Optimasi Sistem Credit Scoring Pembiayaan pada Lembaga Keuangan Mikro dengan Neural Network Integrasi Sample Bootstrapping dan Weighted PCA
Dinamik
Vol 31
, No 1
(2026)
Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several l...
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Analysis of the Effectiveness of the Lampung Provincial Government's Public Communication Through Social Media Using the Logistic Regression Method
Dinamik
Vol 31
, No 1
(2026)
Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic re...
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Deteksi Dini Anemia dan Pemberian Edukasi Pentingnya Tablet Fe pada Ibu Hamil sebagai Upaya Pencegahan Stunting
Jurnal Abdimas Bhakti Indonesia
Vol 6
, No 2
(2025)
Anemia pada ibu hamil merupakan salah satu faktor risiko terjadinya stunting yang harus dilakukan intervensi sejak didalam kandungan untuk mencegah BBLR, PBLR dan premature. Pelaksanaan kegiatan pengabdian masyarakat mengenai deteksi dini anemia dengan melakukan pemeriksaan kadar haemoglobin dan pemberian edukasi tentang pentingnya konsumsi tablet Fe dengan media leafleat pada ibu hamil menjadi suatu langkah strategis dalam upaya pencegahan stunting. Luaran yang diharapkan meliputi terlaks...
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Peningkatan Partisipasi Wanita Usia Subur dalam Program Keluarga Berencana Melalui Edukasi Metode MKJP di Desa Randusari Kecamatan Pagerbarang Kabupaten Tegal
Jurnal Abdimas Bhakti Indonesia
Vol 6
, No 2
(2025)
Tingkat penggunaan metode kontrasepsi jangka panjang (MKJP) di Indonesia masih rendah, khususnya di daerah pedesaan. Rendahnya pengetahuan, berkembangnya mitos, serta terbatasnya edukasi menyebabkan wanita usia subur (WUS) lebih memilih metode jangka pendek. Kegiatan pengabdian ini bertujuan meningkatkan pengetahuan dan partisipasi WUS terhadap MKJP melalui edukasi berbasis komunitas. Metode pelaksanaan berupa penyuluhan, diskusi kelompok, dan konseling interpersonal dengan melibatkan bidan desa...
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