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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.

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Articles 38 Documents

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Search results for , issue "Vol 3 No 4 (2022): Maret 2022" : 38 Documents clear

Sistem Pakar Diagnosa Penyakit Pada Perokok menggunakan Metode Teorema Naive Bayes Siti Muntari; Febriansyah Febriansyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 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 Debi Gusmaliza; Risnaini Masdalipa; Yadi Yadi
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 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 Kadek Abi Satria A V P; Z K A Baizal
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 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 Rudi Hardiansyah; Didik Aribowo; Mustofa Abi Hamid
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 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 Kurnia Drajat Wibowo; Z K A Baizal
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 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): Maret 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

Classification of Glaucoma Using Invariant Moment Methods on K-Nearest Neighbor and Random Forest Models Athalla Rizky Arsyan; Wikky Fawwaz Al Maki
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

One of the cardiovascular diseases that can interfere with eye vision is glaucoma. This disease is caused by high pressure on the inside of the eyeball to cause blindness slowly. In general, screening or early diagnosis can help prevent glaucoma, specifically by analyzing several eye components affected by pressure, including the optical disc, optical cup, and blood vessels. Thus, by blending machine learning algorithms and computer vision technology, glaucoma classification and identification can be accelerated and improved. This study applied the Invariant Moment method to extract the optical cup and blood vessel segmentation's shape, scale, and rotation features. To obtain segmentation results for these two objects, we threshold two image datasets, DrishtiGS-1 and REFUGE, and implemented the approach described in this study to analyze system performance on these datasets. For the classification method used in this study, we proposed KNN and RF models to evaluate the suitability of the methods we used on the REFUGE and DrishtiGS-1 datasets and demonstrated that both models could be used to identify glaucoma through the use of fundus images. When the datasets were merged, we obtained 81.86% and 75.86% of accuracy when using blood vessel and optical cup segmentation results, respectively

User Experience Otomatisasi Pajak Sebagai Rule Base Impact COVID-19 Andrianingsih Andrianingsih; Kodim Suparman; Anggita Putri Maharani
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The Covid-19 pandemic in 2021 is very influential. It has a significant impact on various elements, ranging from the business sector to the worker sector, where the pandemic can destroy the entire sector indiscriminately. It is just that there is one industrial sector that can survive the Covid-19 pandemic attack, namely the industrial sector based on information technology or digital business. Departing from the industry sector that can survive, then pajakonline.com try their luck by starting to design their business into the realm of information technology or digital. Pajakonline.com is one of the business sectors that have been severely affected by the Covid-19 pandemic, considering the core business of the pajakonline.com is to serve tax-related or financial consultations of every problem that there is a taxpayer, as well as the business process itself, is still using conventionally by meeting clients in person, making presentations to each prospective client, collection and processing of data that still use manual means. The ongoing Covid-19 pandemic automatically makes various jobs challenging to do, or if possible to continue to be done, it will be accompanied by various stringent health regulations and protocols. With the design of information technology systems on the web pajakonline.com, related agencies can easily manage their expenditures and revenues based on applicable PPh21 guidelines because the Pajakonline.com web page has contained calculations of tax amount following the status of each employee. Implementing the web Pajakonline.com as one of the fulfilment of the tax automation user experience will significantly help the receipt of tax funds for the country, especially in this pandemic situation. Thus, it can be said that the web Pajakonline.com is ready to operate and run its business into the digital realm

A Multi-Label Classification of Al-Quran Verses Using Ensemble Method and Naïve Bayes Muhammad Rizqi Choirulfikri; Kemas Muslim Lhaksamana; Said Al Faraby
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Al-Quran is the holy book as a guide and also a source of law for muslims. Thus, understanding and studying Al-Quran is very important for muslims. To make it easier for muslims to understand and study the Qur'an, it is necessary to classify the verses of the Al-Qur'an. This study built a system that can perform multi-label classification of Al-Quran verses. Multi-label means that the classification will divide each verse of the Al-Quran into more than 1 topic. The model is built using the ensemble method by combining several Naïve Bayes algorithms. The ensemble method was chosen because research with different datasets can obtain good performance. The naïve Bayes algorithm was also chosen because it has a simple calculation so it requires a fairly short computation time. The preprocessing step is also carried out to see the comparison of performance results. To measure the performance of the system that has been built, the calculation of hamming loss is used. Based on the experimental results with several testing scenarios, the best performance results are obtained by combining Multinomial NB and Bernoulli NB with a hamming loss value of 0.1167. Thus, the use of the ensemble method can improve performance compared to without the ensemble method. This research can also of course build a multi-label classification model for the verses of Al-Quran with the ensemble method

Penerapan Algoritma K-Medoids Untuk Pengelompokan Data Penerima Bantuan Uang Kuliah Tunggal Bagi Mahasiswa Terdampak Covid-19 Reza Andrea; Nursobah Nursobah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The ongoing Covid-19 pandemic period greatly affects various aspects of life, one of which is the issue of the economy. This problem has an impact on the field of education, one of which is at the university level. where many students whose parents/insurers of tuition fees are experiencing financial constraints due to the impact of the Covid-19 pandemic. So we need an effective way as a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the group of UKT recipients. There are many ways that can be used, one of which is by utilizing data mining to group data for students who are entitled to get UKT using the K-Medoids method. The application of the K-Medoids method is used to group data on students who are eligible to receive UKT assistance funds with the aim of being a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the UKT recipient group for the university. Whatever the results of the application of the K-medoids method, a group that deserves to be recommended is based on the results of Cluster / Grouping 0 with a total student data of 8 people based on the results of consideration of the criteria used, namely Parents' Occupation, Home Ownership Status and Parents' Income

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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