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Pengaruh Harga, Konten Video Pendek di Tiktok, dan Konten Video Pendek di Instagram terhadap Keputusan Pembelian Konsumen dalam Transaksi Top up Diamond Mobile Legends: Bang Bang melalui Website Papipum.Com
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
This study aims to analyze the influence of price, short-form video content on TikTok, and short-form video content on Instagram on consumers’ purchasing decisions in Mobile Legends: Bang Bang diamond top-up transactions through the Papipum.com website. The independent variables in this study consist of price (X1), short-form video content on TikTok (X2), and short-form video content on Instagram (X3), while the dependent variable is the purchasing decision (Y). The research employs a quantitati...
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INOVASI GINGERBREAD BERBAHAN DASAR KENTANG DENGAN PERLAKUAN YANG BERBEDA
Avelia, Variska
; Anggarini, Dola Mareta
; Nurazizah, Desi
; Maolana, Fedo Alta
; Annajah, Abdillah Fathan Generus
; Muflihati, Iffah
; Affandi, Arief Rakhman
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Gingerbread merupakan kue kering yang terbuat dengan bahan dasar tepung terigu dengan campuran jahe dan bubuk kayu manis. Ketergantungan penggunaan tepung terigu pada pembuatan produk pangan sampai saat ini masih sangat tinggi, salah satu upaya untuk mengurangi penggunaan tepung terigu adalah dengan memanfaatkan tepung kentang sebagai pengganti tepung terigu. Jahe memiliki beragam jenis dan karakteristik yang berbeda, penggunaan jahe yang biasanya yang digunakan dalam pembuatan gingerbread yang...
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Penerapan E-SCM dalam Usaha Bisnis Rumahan di NSH Group
Dinamik
Vol 31
, No 1
(2026)
Business is an economic activity carried out by individuals or organizations to produce and sell goods or services with the aim of making a profit. The NSH Group Store is a business that sells carpets, pillows, bolsters, and dolls located in the Sei Dadap I/II Plantation, Sei Dadap District, Asahan Regency, North Sumatra 21225. The NSH Group Store was established in 2016 and is owned by Mrs. Siti Komariah Siregar. Among the challenges faced by the NSH Group Store owner are irregular stock procur...
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Predictive Analysis of Dengue Outbreak Trends Using RapidMiner-Based Machine Learning Models
Dinamik
Vol 31
, No 1
(2026)
Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi k...
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KOMUNIKASI INTERPERSONAL GURU DENGAN MURID DALAM MEMBANGUN MOTIVASI BELAJAR SISWA BERKEBUTUHAN KHUSUS
Development and Business Communications
Vol 2
, No 2
(2026)
Interpersonal communication is often used in learning activities in schools by applying classical and individual methods. Student learning motivation is formed due to the interpersonal communication process that exists between educators and students. The purpose of this study is to describe how interpersonal communication between teachers and children with special needs at SLB YPAC Surakarta in building learning motivation. The theory used in this study is the effectiveness of interpersonal comm...
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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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Analisis Deteksi Komunitas Louvain, Infomap, dan Walktrap pada Konstruksi Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024
Al Amin, Imam Husni
; Wibisono, Setyawan
; Hadikurniawati, Wiwien
; Lestariningsih, Endang
; Eniyati, Sri
Dinamik
Vol 31
, No 1
(2026)
Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak ber...
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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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