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Building of Informatics, Technology and Science

bits
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Published by Forum Kerjasama Pendidikan TInggi

ISSN : 26848910 EISSN : 26853310 DOI : -

Core Subject : Science,

Computer Science & IT

Building of Informatics, Technology and Science (BITS) is an open access media in publishing scientific articles that contain the results of research in information technology and computers. Paper that enters this journal will be checked for plagiarism and peer-rewiew first to maintain its quality. This journal is managed by Forum Kerjasama Pendidikan Tinggi (FKPT) published 2 times a year in Juni and Desember. The existence of this journal is expected to develop research and make a real contribution in improving research resources in the field of information technology and computers.

Arjuna Subject : -

Articles 889 Documents

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Penerapan Metode Principal Component Analysis (PCA) Untuk Identifikasi Faktor-Faktor yang Mempengaruhi Sikap Mahasiswa Memilih Melanjutkan Studi ke Kota Malang Badri, Fawaidul; Sari, Sulistya Umie Ruhmana
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

The future of a nation depends on how good the quality of education and human resources of the nation is. Higher education is an important part of the world of education that carries the responsibility in an effort to educate the nation's life. This study aims to determine the factors that influence student attitudes in choosing to continue their studies at Islamic Higher Education (PTAI). The background of this research is that there is a significant gap between PTN and PTAI enthusiasts and the lack of student interest in Islamic tertiary institutions is very interesting to be used as research study material to find out things that are considered by students in choosing PTAI. The results of the study indicate that the data used have met the assumption test of validity, reliability, adequacy and feasibility of the data so that it can be continued in the next analysis using factor analysis using PCA. All the variables contained in this study have an extraction value of more than 50%, so it can be concluded that all the variables used can explain these factors. In the "% of variance" column, because the specified eigenvalues is 1, then the value to be taken has eigenvalues greater than 1, there are component 1, component 2, component 3, component 4, and component 5. If you use 5 components then the total factors that can explain the variance are 20.011% + 19.692% + 15.935% + 14.632% + 10.745% = 81.015%

Prototype Monitoring of IoT-based Laboratory Firefighting System Cahyadi, Setiaji; Karman, Joni; Alamsyah, Muhammad Nur
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

The problem in this study is the absence of automatic firefighters that helps performance on 24-hour safeguards so that it is very susceptible to a short circuit or electrical relations that lead to fires that cause enormous losses both material and immaterial. This research uses the prototype method. The results showed that the planning of making hardware and software regarding planning fire extinguishers using the Arduino Uno board and a fire sensor or flame sensor and a gas sensor or MQ2 Sensor as a foundation where the hardware can be input on the Arduino IDE software and connected to WiFi ESP2866 as a IoT controller and control the room in 24 hours because this tool has a buzzer so that if there is a fire and smoke detected can turn on the sensor and the arm arises, the warning will be a fire hazard.

Penerapan Neural Network Dalam Klasifikasi Citra Permainan Batu Kertas Gunting dengan Probabilistic Neural Network Siregar, Siti Julianita; Lubis, Ahmadi Irmansyah; Ginting, Erika Fahmi
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

In this research, an image classification model was developed to distinguish hand objects pointing at rock, paper, and scissors using one of the popular image classification methods, namely the Probabilistic Neural Network. Probabilistic Neural Network is a method in an artificial neural network that is used to classify a category based on the results of calculating the distance between the density function and the probability. PNN has 4 stages of processing, namely Input Layer, Pattern Layer, Summation Layer, and Output Layer. Tests in the study were carried out with a total of 60 testing data from three object classes from the dataset. Then the results of the classification of Batu, Scissors, and Paper hand images using the application of the PNN algorithm in this research test obtained an average accuracy value of 90%

Penerapan Metode Decision Tree Dalam Menentukan Kelulusan Mahasiswa Rahmadayanti, Fitria; Anggraini, Inda
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

The purpose of this study is to produce a prediction system for determining the determination of student graduation on time with the Decision Tree method at Pagaralam High School of Technology. If many students graduate not on time or exceed the specified limit will result in the accumulation of students in large numbers due to the imbalance of the number of students entering and exiting each graduation period so that it can cause the academic process does not run optimally. Decision Tree is a classification algorithm that can predict large amounts of data. The development method used is the Rapid Application Develoment (RAD) method consisting of Requirement Planning (Requirements Planning), Workshop Design, Implementation (Implementation). This research can help the Pagaralam High School of Technology in seeing whether students will graduate on time or not

Sistem Pakar Diagnosa Penyakit Pada Perokok menggunakan Metode Teorema Naive Bayes Muntari, Siti; Febriansyah, Febriansyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The purpose of this research is to produce an expert system for diagnosing disease in smokers using the Naïve Bayes Theorem method. The problem that arises in this study is the process of determining the disease in smokers through the diagnosis of experts, patients must come to the hospital and see a doctor during working hours. In the development of this expert system using the waterfall SDLC method with the stages of Analysis, Design, Coding, Testing, and testing methods carried out in this Blackbox research. To determine the type of smoker's disease, this system uses the PHP MySQL Database programming language, and Dreamweaver uses. The results of this study are in the form of a website-based expert system that is able to help users or the public in diagnosing passive smoking and providing formations about smoking diseases. The results of the Blackbox Testing test have an average score of 4.2 with a valid category

Sistem Pakar Diagnosa Penyakit ISPA dengan Metode Forward Chaining Gusmaliza, Debi; Masdalipa, Risnaini; Yadi, Yadi
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The development of computer technology today continues to experience many changes every year, which are often developed by artificial intelligence, such as expert system technology. An expert system is a computer-based application that can match or imitate the ability of an expert used to solve problems that cannot be solved by ordinary people. His knowledge is taken from books, experience and knowledge. Children often experience ISPA disease caused by viruses and bacteria because children's immune systems are still susceptible to being different from adults. This disease usually begins with a hot body temperature accompanied by symptoms such as sore throat or painful swallowing, runny nose, dry cough and others. So that many parents do not know the symptoms of ISPA disease, as for some ways to prevent ISPA disease are diligently washing hands, increasing consumption of foods containing vitamins, exercise. To make it easier for parents to detect ISPA disease, the authors made this study using the forward chaining method, using this method the resulting system is a system that provides a choice of several symptoms then based on the selected symptoms conclusions will be drawn. This ARI disease expert system uses blackbox testing because blackbox testing is a software testing technique that focuses on the functional specifications of the software or system. Blackbox testing is done on each submenu view, input, edit, print, delete data. So that it will produce an expert system to diagnose ISPA in children online

Improved Collaborative Filtering Recommender System Based on Missing Values Imputation on E-Commerce P, Kadek Abi Satria A V; Baizal, Z K A
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

One of the important aspects in e-commerce is how to recommend a product to users accurately. To achieve this goal, many e-commerce starts to build and research about recommender system. Many methods can be used to build a recommender system, one of them is using the collaborative filtering technique. This technique often experiences data sparsity problem that can impact to the recommender system prediction accuracy. To solve this problem, we apply improved collaborative filtering. This method predicts the missing values in the user item rating matrix. First, we do an initial selection to determine potential users who have the same characteristics with the active user. After that, we calculate the average distance between the active user and the other selected user. Next, we calculate missing values prediction. Missing values predictions is only done for items that have never been rated by other’s selected user but has been rated by the active user. We used Amazon electronic product with high sparsity level in this research to simulate the actual condition of e-commerce. We used MAE and RMSE to measure prediction accuracy. The methods we apply succeeds to improve the prediction accuracy compare to the conventional collaborative filtering method. The average MAE for method that we apply is 0.78 and RMSE 1.07

Pengembangan Sistem Pakar Identifikasi Modalitas Belajar Siswa Menggunakan Metode Forward Chaining dan Certainty Factor Hardiansyah, Rudi; Aribowo, Didik; Hamid, Mustofa Abi
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Teachers or educators find it difficult to determine student learning modalities at SMK PGRI 2 Serang City during online and offline learning. Online and offline learning must also be interesting and clear, not only images and text, but must be more interactive, because students have different learning modalities. So that in carrying out online learning the teacher must know the learning modalities of his students in order to make it easier to carry out online and offline learning. So it is necessary to create an expert system that can identify the learning modalities of students and also the accuracy of the expert system, the feasibility of efficient and effective learning modalities in online and offline learning. The stages of developing this website-based expert system design system use the waterfall method. The system development is in stages in 4 stages, namely the needs analysis stage, the design stage, the coding or implementation stage, and the system testing stage. The subjects in this study were 2 media experts, 4 teachers 1 school admin staff, and 36 students. Based on research results from testing the feasibility level of the system or product from media experts, namely 68.5 with these results it means the expert system website is in the "very feasible" category, then the results of testing the feasibility level of the expert system from users (teachers and students) are 94, 8 and 92.75 with these results in the "very feasible" category

Movie Recommendation System Using Knowledge-Based Filtering and K-Means Clustering Wibowo, Kurnia Drajat; Baizal, Z K A
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The movie recommender system has an important role in providing movie recommendations for users, but new users have difficulty choosing movies that are given by the recommender system because of the cold start problem. This study aims to overcome the cold start problem using a knowledge-based recommender system, i.e association rule mining using an apriori algorithm. The apriori algorithm aims to extract correlations between product itemsets, but the problem in the apriori algorithm is the large number of association rules that make the complex computation. To overcome this problem, we combine the apriori algorithm and k-means to produce more accurate recommendations, because the items are grouped before the recommendation process using the k-means algorithm. In this study, we use a dataset of movies and ratings from the Kaggle website. This study uses a minimum value of 0.5 confidence, and a minimum value of 4 lifts. To produce the best itemset in the form of antecedents and consequents of the Beauty and the Beast item with The Passion of Joan of Arc which has a value of 0.107981 support, 0.779661 confidence, 4.151695 lift

Pemilihan Peserta Olimpiade Matematika Menggunakan Metode MOORA dan MOOSRA Haeruddin, Haeruddin
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Mathematics olympiad is one of the prestigious events in education where the winners of the competition are talented and selected people with above average intelligence, the olympiad winners also affect the good name of the educational institution where the contestants get education. This makes it important in selecting participants who will be sent to take part in the competitions that have been held in order to minimize the possibility of things that are not wanted to happen. Selection was made using the help of a decision support system to help make it easier to select and select candidates subjectively and accurately, in this study we will look at the work of the Moora and Moosra methods in helping the selection of participants in the mathematics olympiad

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Home Page

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Contact Name
Mesran

Contact Email
mesran.skom.mkom@gmail.com

Phone
-

Journal Mail Official
jurnal.bits@gmail.com

Editorial Address
-

Location
Kota medan,

Sumatera utara

INDONESIA