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FILLING OTOMATIS SOLUSI PENGEMASAN KECAP UMKM MASA KINI
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Kecap merupakan produk fermentasi kedelai yang berperan penting sebagai bumbu penyedap dalam masakan. Berdasarkan rasa dan kekentalannya, kecap dibedakan menjadi kecap manis dan kecap asin. Penelitian ini bertujuan untuk mengkaji penerapan teknologi filling otomatis sebagai solusi dalam meningkatkan efisiensi proses pengemasan botol kecap pada skala UMKM. Metode yang digunakan adalah deskriptif kualitatif dengan pendekatan studi pustaka. Permintaan pasar yang tinggi terhadap kecap manis mendoron...
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ANALISIS MUTU KIMIA PRODUK KUPANG KRISPI DI UD. BUNDA FOODS
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Mutu dalam pengolahan pangan menjadi hal penting untuk menjamin produk yang aman, higienis, dan berkualitas. Suatu produk dikatakan bermutu apabila mampu memenuhi standar mutu yang telah ditetapkan oleh pihak terkait dalam hal ini adalah Standar Nasional Indonesia (SNI). Penelitian ini dilakukan untuk mengevaluasi kualitas kimia dari produk kupang krispi yang dihasilkan oleh UD. Bunda Foods, dengan menitikberatkan pada tiga parameter utama yaitu kadar air, kadar abu, dan kadar protein. Kupang kr...
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PENGARUH LAMA PENGASAPAN DAN PENYIMPANAN TERHADAP BERAT, KARAKTERISTIK KIMIA DAN TOTAL MIKROBA TELUR ITIK ASIN
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
One of the various salted egg products with smoking methods is smoked salted eggs which have a distinctive aroma and taste. This study aims to determine the effect of smoking and storage time and its interaction on smoked salted eggs with on physical and chemical properties, total microbes as well. This research is experimental by using ducks eggs and a mixture of coconut shells and fibers, and rice husks as smoke fuel. The experimental design used is Randomized Complete Block Design (R...
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Implementasi Algoritma FP-Growth Untuk Menemukan Pola Hubungan Antar Barang pada Transaksi Penjualan
Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
; Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
This study is motivated by the problem faced by Toko Polirindo, where sales transaction data are stored only as archives and have not been utilized for analytical purposes, resulting in unstable product availability, recurring stock shortages, and difficulties in predicting customer purchasing behavior; therefore, this research aims to identify patterns of item associations that frequently occur together by applying the Association Rule Mining method using the FP-Growth algorithm, which is recog...
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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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Sistem Informasi Komunitas Anime Music Video (Amv) Editing Berbasis Web (Studi Kasus : Komunitas Fly Studio)
Jurnal Ilmiah Sinus
Vol 24
, No 1
(2026)
This web-based AMV community information system was developed to support collaboration, recruitment, and project management among AMV editors. Evaluation using the User Acceptance Test (UAT) yielded an average score of 4.216 (Very Good), indicating strong user satisfaction in functionality and usability. The system was built using the waterfall method, involving requirement analysis, design, implementation, and testing stages. Core features include team management, collaboration content, editing...
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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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