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DYNAMIC SUPPLY RESPONSE : IMPLICATIONS FOR INDONESIA SOYBEAN CROP
The purpose of the study is to explore the supply response model of the soybean crop in terms of alternative specifications also implications economics. To apply model, considerations through the availability of production lags …
Dynamic Time Warping Pada Metode K-Means Untuk Pengelompokan Data Trend Penjualan Produk
Pasar swalayan menghasilkan transaksi penjualan dengan pelanggan dengan laju pertumbuhan data tinggi. Data transaksi sejumlah barang memiliki pola berbeda, ada yang tinggi dan ada yang rendah. Perbedaan ini mengakibatkan pola penjualan antar satu…
dynamichazard: Dynamic Hazard Models Using State Space Models
The dynamichazard package implements state space models that can provide a computationally efficient way to model time-varying parameters in survival analysis. I cover the
models and some of the estimation methods implemented in dynamichazard, apply…
models and some of the estimation methods implemented in dynamichazard, apply…
DYNAMICS OF MSMES IN EAST JAVA FACING THE COVID-19 PANDEMIC
The COVID-19 pandemic that has hit the world and Indonesia has greatly affected the business world and businesses, including Micro, Small and Medium Enterprises (MSMEs). Various efforts have been made by the government to overcome or at least reduce…
Dynamics of Organizational Culture: The Influence of Manipulative Behavior and Social Interaction in Private Universities
This study aims to identify the influence of manipulative behavior and social interaction on organizational culture. Referring to previous literature and research, manipulative behavior can change organizational …
E-commerce Recommender System Using PCA and K-Means Clustering
Recently, recommender system has an important role in e-commerce to market products for users. One of recommender system
approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based
on…
approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based
on…
E-commerce Recommender System Using PCA and K-Means Clustering
Recently, recommender system has an important role in e-commerce to market products for users. One of recommender system
approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based
on…
approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based
on…
E-COMMERCE; THE NEW PHENOMENON AND HOW TO BE SUCCED IN MARKETPLACE
This study aims to measure the factors that influence the satisfaction of Brodo e-commerce web users. The growth of e-commerce is also in line with the rapid use of the internet over the last 10 years. Brodo is one of the local businesses that was…
E-Disasters Dengan Neural Network Menggunakan Adaptive Neuro Fuzzy Inference System dan Learning Vector Quantization Berbasis Internet of Thing
Penelitian ini membahas tentang pembangunan sebuah sistem cerdas yang mampu melakukan
prediksi terjadinya bencana alam dengan melakukan analisa dari keadaan alam yang
berhubungan dengan bencana alam melalui akusisi data sensor dengan mengembangkan…
prediksi terjadinya bencana alam dengan melakukan analisa dari keadaan alam yang
berhubungan dengan bencana alam melalui akusisi data sensor dengan mengembangkan…
E-FILLING AND E-BILLING'S IMPACT ON TAXPAYER COMPLIANCE IN 2020 AT KPP PRATAMA SUMBAWA BESAR
This study aims to determine and analyze the effect of the application of e-filling and e-billing on the compliance of individual taxpayers at KPP Pratama Sumbawa Besar. The sample used in this study was as many as 100 respondents who were in the KPP…