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Building of Informatics, Technology and Science
ISSN : 26848910     EISSN : 26853310     DOI : -
Core Subject : Science,
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
Sistem Pakar Deteksi Awal Covid-19 Menggunakan Metode Certainty Factor Nasution, Rama Danil Fahri; Hutagalung, Jhonson Efendi; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.008 KB) | DOI: 10.47065/bits.v4i1.1508

Abstract

Data on the development of Covid-19 cases globally and in Indonesia and predictions of an increase in the number of cases, of course, it is necessary to take several steps in dealing with Covid-19, the community must implement physical distancing and maintain personal hygiene and the surrounding environment as preventive measures to suppress the spread of Covid-19. This is in accordance with WHO's appeal regarding strategic steps in dealing with the global Covid-19 pandemic. As in other countries, suspect Corona (people who show symptoms of being infected with COVID-19 and are suspected of having had contact with positive COVID-19 patients) are increasing in Indonesia so that requests for specimen tests at laboratories that have been appointed by the government have also increased. For this reason, another way is needed to detect COVID-19 that is more practical and faster by analyzing data using the Certainty Factor method. With the Covid-19 Early Detection expert system, so that it can provide convenience for Aek Kanopan Regional General Hospital (RSUD) doctors and patients in carrying out the Covid-19 Early Detection process in the database. Can help the Regional General Hospital Doctor (RSUD) Aek Kanopan and provide services to patients in terms of the existing Covid-19 Early Detection and successfully conclude the early symptoms of covid-19 and their handling solutions
Analisis Malicious Software Trojan Downloader Pada Android Menggunakan Teknik Reverse Engineering (Studi Kasus: Kamus Kesehatan v2.apk) Putra, Andriyan Dwi; Santoso, Joko Dwi; Ardiansyah, Ipung
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1094.745 KB) | DOI: 10.47065/bits.v4i1.1515

Abstract

The development of smartphone technology with the Android platform has made very rapid progress. Smartphones help and facilitate daily human work such as communicating, shopping, and financial transactions. However, because android is an open- source system, anyone can easily develop android applications that can be downloaded on the android app market. Including applications that have been inserted by malware by application developers, one of which is the Trojan downloader malware. The analysis was carried out by implementing the Trojan downloader malware infection in the health dictionary application using the reverse engineering method. Trojan downloader malware infection uses metasploit framework tools. The application will be infected with the payload created from the metasploit framework. This study will analyze the health dictionary application before and after being infected with the Trojan downloader malware using the reverse engineering method. The results of the analysis on the health dictionary application found that the difference in the size of the application was 10.17 MB, which previously was 10.05 MB. Of course, by changing the file size, the SHA256 hashing changes automatically. In the permissions section, it was found that there were only 9 permissions before being infected, but after being infected, we found 18 additional permissions, bringing the total to 27 permissions
Analisis Manajemen Risiko pada Penerapan Sistem Informasi Pembangunan Daerah (SIPD) Menggunakan IEC/ISO 31010:2019 Sine, Melani Mardolna; Maria, Evi
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.154 KB) | DOI: 10.47065/bits.v4i1.1531

Abstract

The purpose of this study was to analyze the risk of information technology in the application of the Regional Development Information System (SIPD) on the development planning menu at the Department of Communication, Information, Statistics and Encoding (DKISP) of Rote Ndao Regency using the IEC/ISO 31010:2019 standard. Risk management in this study includes the stages of communication and consultation, setting context, risk assessment, including the process of risk identification, risk analysis, risk evaluation, and risk treatment. The results of the study found that there were 17 possible risks in the SIPD application on the regional development planning menu. Of the 17 possible risks, there are three high-level risks, namely financial transaction failure, data leakage, misuse of accounts in the database system. Two risks at a moderate level are unreliable data and information and inadequate application documentation, as well as 12 risks with a low level, namely abuse of access rights, proposal submission being cancelled, database system error, proposal verification failure, users not understanding the function of the SIPD application menu, error in inputting prices in shopping accounts, data input for double development planning activities, failure to input income data, expenditure data not in accordance with programs, activities and sub-programs, system failure to archive deleted data, error in inputting validation ceilings, and sources of funds not having valid information. complete in accordance with SIPD features. The results of the risk management analysis are documented in the form of a risk register for management
Visualisasi Data Tweet di Sektor Pendidikan Tinggi Pada Saat Masa Pandemi Lieharyani, Djoko Cahyo Utomo; Ambarwati, Rita
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.939 KB) | DOI: 10.47065/bits.v4i1.1551

Abstract

The Covid-19 pandemic has had an impact on many sectors, including higher education. Various public opinions about higher education have emerged on social media during the pandemic, with varying foci of discussion. The purpose of this study is twofold. The first is to compare the results of semantic data analysis with and without stemming. Second, to determine the topic of discussion among Twitter users about higher education. This study was carried out by collecting tweet data for a year during the pandemic, from March 2020 to March 2021. The data then pre-processed using a combination of methods to ensure that there was minimal noise data. The analysis is performed using information theory, bigram phrases, semantic relationship analysis between words, and visualized using gephi in the final stage. The findings of this study explain in detail why the stemming method cannot be used directly for preprocessing data that requires semantic understanding. Data visualization also reveals that Twitter users who talk about higher education are more concerned with campus life and new student admissions. This research evaluates the stemming process because the results show that using stemming eliminates semantic meaning between words. This research also visualizes semantic relationships in tweets about higher education
Analisis Kepuasan Nasabah Menggunakan Metode Service Quality dan Customer Satisfaction Index Kesumawati, Ramadini; Hendry, Hendry
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (507.05 KB) | DOI: 10.47065/bits.v4i1.1557

Abstract

Bank is a business entities that have the function of collecting funds and distributing them from and for the community. The service of a bank is said to be good not only from bank’s point of view, but also from customer’s opinion as a service user. The problem that occurs is when bank has not been able to meet good and appropriate service standars, resulting in customers feeling dissatisfied. This study aims to analyze customer satisfaction to find out how the quality of service is available and to help provide information regarding what steps should be taken to improve service quality Service Quality method and Customer Satisfaction Index. The stages in this research include surveys, literature studies, preparation and distribution of questionnaires, validity and reliability tests, gap analysis and percentage of satisfaction levels, writing results, and finally conclusions. The results show that there are 15 attributes with negative gap values and a satisfaction percentage of 80,38%. Based on these results, customers are satisfied with the service provided
Analisis Sentimen Opini Masyarakat Terhadap Vaksinasi Booster COVID-19 Dengan Perbandingan Metode Naive Bayes, Decision Tree dan SVM Aldisa, Rima Tamara; Maulana, Pandu
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.051 KB) | DOI: 10.47065/bits.v4i1.1581

Abstract

The impact of the COVID-19 pandemic is very broad, especially in Indonesia. In early 2022, Indonesia entered the early stages of recovering conditions caused by the pandemic. The government has an option for the community to carry out a third dose of vaccination (booster). However, there are a number of pros and cons in the community regarding the booster vaccine. This study aims to conduct sentiment analysis related to public opinion on the COVID-19 booster vaccination in Indonesia with Naive Bayes model. The data source used comes from Twitter. The workflow of this research includes data crawling, labeling, preprocessing, dataset sharing, and model testing and comparison with other models, namely Decision Tree and SVM. The results of this study indicate that the largest AUC score falls to the SVM model (75.40%), but for more accurate precision falls to the Naive Bayes model (83.81%). In addition, there is a confusion matrix which shows that the Naive Bayes model trial is running well.
Telkom University News Topic Modeling Using Latent Semantic Analysis (LSA) Method on Online News Portal Amala, Ihsan Ahsanu; Richasdy, Donni; Purbolaksono, Mahendra Dwifebri
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.709 KB) | DOI: 10.47065/bits.v4i1.1584

Abstract

In this day and age, the development of online news portals regarding news is quite easy to access, online news portals are information that explains an event that has occurred or is happening with electronic media intermediaries, as well as news about Telkom University which is quite easily accessible through online news portals. A system has been designed that is capable of modeling Telkom University news topics. Modeling news topics is very interesting to be used as research material because the process of understanding each individual on the topics contained in the news is different, therefore topic modeling is needed to find out what topics are news about Telkom University. In this study, a Latent Semantic Analysis (LSA) model has been designed to carry out a topic modeling process that aims to make it easier for readers to understand news topics related to Telkom University, Latent Semantic Analysis (LSA) is a mathematical method in finding hidden topics by analyzing the structure semantics of the text. After doing several research scenarios, the best coherence score was 0.524 with a total of six topics.
Penerapan Fitur Firebase Cloud Messaging Pada Sistem Kontrol Pembayaran Iuran BPJS Ketenagakerjaan Berbasis Mobile Meidina, Mita; Junadhi, Junadhi; Rio, Unang; Efendi, Yoyon
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.611 KB) | DOI: 10.47065/bits.v4i1.1603

Abstract

BPJS of Employment is the organizer of a social security program that functions to protect workers through four employment social security programs, namely Work Accident Insurance, Old Age Security, Death Security, and Pension Security. Information regarding the payment of BPJS Employment Contributions is an important factor in supporting social security programs for workers and employees. This is because there are still many participants who are in arrears in payment of the BPJS Employment Contribution and there is no immediate information regarding the payment of the BPJS Employment Contribution. In this study, an application was made so that an administrator could send notification messages regarding the payment of the BPJS Employment Monthly Contribution to participants and could receive reports on the payment of contributions that have been made by participants. The system design this time was assisted by Firebase Cloud Messaging (FCM) technology which functions as a web service. Messages that have been sent can be stored in a database that can be viewed on the admin web page. The results of this study are successful in building a BPJS employment payment control application by implementing the mobile-based Firebase Cloud Messaging (FCM) feature. This application can send notifications to participants regarding due information on dues payments in real time. Makes it easier for participants to get the latest information quickly. For the tests carried out using the functionality testing of the system by performing simulations on each function of the system made and concluded that the system functions can run well
Analisis Pengguna Media Sosial Terhadap Isu UU Cipta Kerja Menggunakan SNA dan Naive Bayes Mau, Stevanus Dwi Istiavan; Sembiring, Irwan; Purnomo, Hindriyanto
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.217 KB) | DOI: 10.47065/bits.v4i1.1610

Abstract

In research about analysis issue analysis, UU Cipta Kerja aims to investigate aktor which has the most influence in the discussion on the network is based on the analysis of the most popular centrality values on the issues law copyright this working. Research is in use of the method of Social Network Analysis ( SNA ). The data in minutely as many as 1686 nodes and 1403 edges in extract through the API Twitter with the help of application WinPython and Netlytic with a period 08 October 2020 - 05 July 2021. The result of this research showed that account @BEMUI_ Official is account the most popular with the Degree Centrality 944, value Betweenness Centrality 640042.0. But on a calculation Closeness Centrality aktor @BEMUI_Official having value 0.701235, therefore nodes who have a centrality highest do not necessarily have the value that both in terms of the dissemination of information.
Implementasi VPN Menggunakan Metode Point to Point Tunneling Protocol Andriani, Ria; Sa’di, Ahmad; Putra, Andriyan Dwi
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (654.653 KB) | DOI: 10.47065/bits.v4i1.1611

Abstract

The XYZ office is a government agency covering various fields, ranging from government, economy, development, people's welfare, community life development and public service affairs. However, work activities in agencies were disrupted due to the COVID-19 pandemic which caused the government to impose a Large-Scale Social Restriction (PSBB) policy to suppress the spread of this virus, resulting in agency workers having to work from home. Therefore we need an appropriate means to be able to support these activities. One of them is making a technology design by implementing a VPN on a proxy router with the PPTP (Point to Point Tunnelling Protocol) method so that it can make it easier for employees to communicate without thinking about location. In addition, users can still remotely access the local network even though they are outside the office network. more secure. Based on the results of testing the network security at the XYZ Office before using the VPN Server, it proved that the wiretapping attackers could still obtain data in the form of website login information, proxy logins, or view data contents when exchanging data. Meanwhile, when the user connects to the VPN Server, the eavesdropper cannot see the contents of the data in it, then with the implementation of a VPN with the PPTP method, employees who are working from home can connect and communicate well with each other, with that work and information exchange will become more flexible and faster