JURNAL INFORMATIKA AHMAD DAHLAN

Missing Data Imputation Using K-Nearest Neighbour for Software Project Effort Prediction

the accurate of software development effort prediction plays an important role to estimate how much effort should be prepared during the works of a software project so that it can be completed on time...


Improved Data Storage Performance Based Modified-SPEED Algorithm

with the rising demand for smart devices and smart home systems, automation and activity prediction has become a vital aspect of people's everyday lives. researchers have focused on developing approac...


Device-to-device (D2D) Reliable Transmission in the Internet of Things

d2d stands for device-to-device communication, which is likely to perform a major impact in future mobile communications because it offers ultra-low latency for end user’s direct conversation. throu


Image Denoising Using Wavelet Thresholding and Median Filter Based Raspberry Pi

the goal of any denoising technique is to remove noise from an image which is the first step in any image processing. the noise removal method should be applied watchful manner. otherwise, artifacts c...


Prediction of Standard Penetration Test Value on Cohesive Soil Using Artificial Neural Networks

soil investigation is the main key in starting construction. standard penetration test (spt) and cone penetration test (cpt) are field tests often used to estimate soil parameters for foundation desig...


Proposal of Image Generation Model Using CGANs for Sketching Faces

the transition from sketches to realistic images of human faces has an important application in criminal investigation science to find criminals as depicted by witnesses. however, due to the differenc...


Classification of Batik in Southern Coast Area of Java Using Convolutional Neural Network Method

batik is a craft inherited from our ancestors from the archipelago which has a high aesthetic value. batik has several kinds of motives. perhaps only a few of the information related to batik can find...


Reality of the Internet and Social Media Addiction in Indonesian Students

the use of the internet and social media today is inseparable from the life of modern society. this can lead to an addiction to the internet and social media. this research aims to answer whether the ...


Performance Measurement of the Relationship Between Students' Learning with Lecturers' Characteristics as Supervisors Based on Fuzzy-based Assessment

in addition to the focus of research selected as a final project material, the selection of lecturers as student's supervisor becomes very important. the lecturer's competence related to the focus of ...


Hierarchical Long Short-term Memory for Action Recognition Based on 3D Skeleton Joints From Kinect Sensor

action recognition has been used in a wide range of applications such as human-computer interaction, intelligent video surveillance systems, video summarization, and robotics. recognizing action is im...


Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data

all groups of people felt the impact of the covid-19 pandemic. this situation triggers anxiety, which is bad for everyone. the government's role is very influential in solving these problems with its ...


Mobile E-detection of Banyuwangi’s Citrus Fruit Maturity Using K-nearest Neighbor

banyuwangi is the largest oranges-producing city in east java, and the orange produced is siamese citrus fruit. siamese is banyuwangi local citrus fruit often found at the harvest time and has a sweet...


Application to Predict the New Student’s Score Using TIME Series Algorithm

with the rapid development of information technology in this era, data accuracy is essential in our daily lives to solve existing problems. the existence of information is beneficial in helping the de...


Content-based Recommender System Architecture for Similar E-commerce Products

recommendation systems are quite famous and are increasingly being used on e-commerce platforms for a variety of purposes. the recommendation system technique used also varies greatly depending on the...


Well-Known Brands Recognition by Automated Classifiers Using Local and Global Features

from color and type to patterns and illustrations, brands sense to be recognizable and convey their values and personality. here patterns and color are key elements, as they can play a vital role in b...


Speech Classification Using Combination Virtual CENTER of Gravity and K-means Clustering Based on Audio Feature Extraction

voice recognition can be done in a variety of ways. sound patterns can be recognized by performing sound feature extraction. the trainer sound data is built from the best sound data selection using a ...


Clustering Based Feature Selection Using Partitioning Around Medoids (PAM)

high-dimensional data contains a large number of features. with many features, high dimensional data requires immense computational resources, including space and time. several studies indicate that n...


Developing Support Vector Regression Model to Forcast Stock Prices of Mining Companies in Indonesia

the modern era as it is now the world of stock investment is in great demand by investors, both long-term and short-term stock investments. stock investment provides many benefits for investors. to ge...


Information Security Analysis on Physical Security in University X Using Maturity Model

the threat of physical security can be from human factors, natural disasters, and information technology itself. therefore, to prevent threats, we need the right tools to control current activities, e...


State of the Art Document Clustering Algorithms Based on Semantic Similarity

the constant success of the internet made the number of text documents in electronic forms increases hugely. the techniques to group these documents into meaningful clusters are becoming critical miss...


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