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INDONESIA
Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.
Arjuna Subject : -
Articles 245 Documents
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Phenomenological Investigation of Social Media Technological Aspects Against Cyberbullying from the Third Person Perspective of Higher Education Students Dhewanty, Civica Moehaimin; Priharsari, Diah; Setiawan, Budi Darma
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491578

Abstract

Cyberbullying often occurs among higher education students as they frequently use and easily get access to the internet, especially through social media. However, the awareness of cyberbullying among them is very low. They do not know how to identify cyberbullying and prevent it. This research will discover the characteristics of social media that can help third persons identify and prevent cyberbullying. This research used a qualitative method with a phenomenological approach to study a person’s experience of technology regarding cyberbullying. The data collected in this study were obtained from interviews with higher education students. The data acquired were analyzed using Collaizzi's seven steps descriptive phenomenological analyses. The analysis produced a description of the phenomenon of cyberbullying on social media that have verified by the interviewees. This study found some characteristics of social media to help higher education students identify and prevent cyberbullying and discovers which social media has the most cyberbullying content and the similarities/differences of each social media in helping a third person identify and prevent cyberbullying. And found several technological factors that affect the effort of preventing cyberbullying, such as seeing other people’s activities and personal information on social media, and doing a report or sharing cyberbullying content.
Voice Recognition to Classify “Buka” and “Tutup” Sound to Open and Closes Door Using Mel Frequency Cepstral Coefficients (MFCC) and Convolutional Neural Network (CNN) Laksono, Blessius Sheldo Putra; Syaifuddin, Tio; Utaminingrum, Fitri
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491579

Abstract

The consequences of the coronavirus called COVID-19 have been really impactful on society. Many things need to be changed in order to survive this pandemic. People have to avoid physical contact to minimize the probability of getting caught by other people who have been infected. A doorknob has a really big potential to be the medium to spread the virus because the same surface is used by several people. Speech recognition can be used to solve this problem. In this study, Mel Frequency Cepstral Coefficients (MFCC) and Convolutional Neural Network (CNN) are going to be used as the extraction feature and classification method, respectively. We classify the sound signal into two classes (“buka” and “tutup”). People who want to open or close the door just need to say a specific command. This can be helpful to minimize the risk of COVID transmission. A CNN model is developed and fed with an audio file from a curated dataset for training and testing. With this system, we have successfully trained the model with an accuracy of 89% using an epoch of 50 and batch size of 32 as the parameters with a dataset distribution of 8:2 for training and validation. We believe this study will be influential in developing automated door systems using speech recognition, especially in the Indonesian language.
Preliminary Review of Desktop-to-Web System Transformation of Data Input Process in Accounting Information System Diana; Pinandito, Aryo; Pradana, Fajar
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491580

Abstract

The accounting information system is an important key to financial management, the information influences the company’s decisionmaking in determining its future strategy. However, before the development of web technology, current systems were usually implemented on desktop platforms. Over time, many obstacles were found during its implementation, which had an impact on time efficiency on staff performance. Therefore, in this study, a preliminary review assessment is made to find out whether the current desktop information system is still good for use or a web-based system is able to provide more performance, especially in terms of time efficiency. According to the results of this study, web information systems have better performance than desktops. With the transformation of the platform in the system, there was an increase in the use of time in carrying out input process activities of 35%.
Bottleneck and Resource Analysis on IT Help Desk with Process Mining Permana, Muhammad Cekas; Prameswari, Anindya; Ginting, Agriva Detta; Asjad, M. Rifadh; Syakurnia, Barajati; Andreswari , Rachmadita
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491581

Abstract

This study utilizes data from the help desk log of an Italian company to create a model of the company’s business processes. The primary objectives are to show the benefit of the implementation of process mining to identify bottleneck activites within the process and analyze the workload distribution among resources. The research reveals that the most common bottlenecks occur during the transition from ‘resolve tickets’ to ‘closed’ accounting for 99% of cases, and another activity from ‘assign seriousness’ towards ‘take in charge ticket’ experiences bottlenecks in 91% of cases. Furthermore, a decrease in the number of cases was discovered after October 2012. Prior to this period, the average number of cases per resource was high, leading to a high average number of active resources per day and average number of events per day. However, after October 2012, the average number of cases per resource decreased by approximately 74.6% to 47 cases per resource. The average number of active resources also decreased by 25% to 3 active resources per day. Additionally, the average number of events per resource decreased by 40% to 3 events per resource per day. Regarding the resource workload, the analysis reveals that ‘value 2’ has the highest workload, having worked on 4,235 events. This is followed by ‘value 5’ with 3,748 events, ‘value 1’ with 3,028 events, ‘value 9’ with 2,073 events, and ‘value 13’ with 1,420 events.
Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN Findawati, Yulian; Suryani, Siti Dwi; Indahyanti, Uce; Khubro, Jamaluddin Jumadil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92582

Abstract

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.
Factors Influencing Employee Productivity in Work From Anywhere: A Systematic Literature Review (SLR) Fauziyah, Neyla Neyla Nuril; Priharsari, Diah; Pinandito, Aryo; Pradana, Fajar
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491584

Abstract

Many companies have begun to adopt both ways of working simultaneously or commonly referred to as Work From Anywhere (WFA); it is necessary to model business processes used to evaluate and improve the WFA work system in the future. In modelling business processes, it is necessary to carry out a needs analysis, one of which is to find out what factors affect employee productivity when doing their work. Several research journals related to WFA work productivity factors are still scattered in various journal databases, so it is necessary to unify them from various journals. Therefore, it is necessary to research the grouping of factors and theories that affect the productivity of WFA employees in the Systematic Literature Review (SLR) method. Before grouping, the search criteria and journal search process are determined first. The first search is to identify based on keywords, year of publication, and journal quality. Then continued, the use of Cohen's Kappa method for selection based on the field of discussion and language, abstracts, and contents. In improving the reliability of the library screening results, each selection is made twice (or more) and calculates the value of Cohen's Kappa. The SLR method makes the usually subjective literature study more objective to reduce the researcher's bias. The results obtained were a total of 17 screening journals with a total of 11 factors, namely environment, time efficiency, psychology, health, cost efficiency, employee personality, adequate technology, gender, geographical flexibility, salary, and communication.
The Effect of Communication Overload, Information Overload, and Exhaustion on Student’s Learning Productivity Sudarsono Putri, Shandra Elvyra; Aryo Pinandito
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92589

Abstract

Every year, the percentage of Indonesians who utilize social media continues to increase. The ease of use of social media brings numerous advantages to users, particularly students. Students use social media to share and exchange learning materials, seek academic knowledge, and engage with friends and family. However, excessive use can cause exhaustion. This study aims to determine the ef- fect of overload factors on exhaustion and its effect on student learning productivity using linear regression analysis. Research data collection using questionnaires that obtain 100 respondents data. The research model uses the Stressor-Strain-Outcome (S-S-O) framework. The result suggested that communication overload affects student’s exhaustion, and student’s exhaustion also affects learning productivity.
Evaluation of the Success Nutrition Fulfillment Campaigns Through Diet in People with Autistic Disabilities Based on Prototyping Tasks in Design Thinking Silfiatul Ulumiyah; Mochamad Chandra Saputra; Retno Indah Rokhmawati
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383598

Abstract

Consideration of people, problems, and context is part of the design thinking approach to problem solving. Redefining complicated problems effectively can benefit greatly from this method. Specifically in this study, the development of the nutrition fulfillment application program for autistic children. The calculation of the percentage of test participants who successfully completed the task was 94.3%. The prototype provides high effectiveness based on the assigned task related to the daily diet food menus for autism. The results of the evaluation of the efficiency aspect present a value of 0.085 goals/sec which means that test participants completed 1 task in about 11.76 seconds and is more efficient than the manual process. The result of satisfaction evaluation based on SUS shows that average of the result of the questionnaire is 72 from 100 means that the user easily operates the prototype.
Evaluation of Usability in LetsCode Digital Learning Media Using the Usability Testing Method and Use Questionnaire Nadifa, Rahajeng Mufti; Pradana , Fajar; Bachtiar, Fitra Abdurrachman
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92599

Abstract

Basic Programming is one of the compulsory courses at the lecture level in the field of computer science. The problem that is often encountered in these courses is the low understanding of students towards the programming material provided. Digital learning media, namely the LetsCode website, was developed to become a learning support medium and increase students' understanding of basic programming. To find out how far learning media can meet user needs, a usability test is carried out to determine the usability level of the system. The research was conducted using the usability testing method using a Use Questionnaire for LetsCode website users. The criteria for the test respondents were students of the Information Technology Education Study Program, Brawijaya University, with a total of 30 respondents. From the results of the questionnaire test using the F test, it shows that the variables of expediency, ease of use, and ease of learning have a simultaneous effect on satisfaction. For the feasibility of getting a result of 88.43% of the overall usability aspect which shows the LetsCode website is in the very feasible category. The research was limited to the analysis of questionnaire data and did not enter the system development stage.
Optical Character Recognition Mobile App for Address Matching in Integrated Social Welfare Data Verification Process Panjaitan, RE. Miracle; Rahayudi, Bayu; Ratnawati, Dian Eka
Journal of Information Technology and Computer Science Vol. 9 No. 1: April 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202491601

Abstract

The Ministry of Social Affairs of the Republic of Indonesia has Integrated Social Welfare Data called Data Terpadu Kesejahteraan Sosial (DTKS) and uses it as a basis for the distribution of Social Fund Assistance, or Bantuan Sosial (BANSOS). The fact that occurred in the field was that there were many BANSOS recipients who were not impoverished and did not qualify to be the target of this program. One of the reasons is that there are weaknesses in the system that have the potential for data manipulation during the verification and validation processes. Therefore, a system improvement is needed to minimize the possibility of the data being manipulated. This study proposes a digital verification system using Optical Character Recognition (OCR) and reverse geocoding to make sure that the registrant provides their own citizen ID card and their own house address that meet the qualifications. These technologies in the developed mobile app perform address matching between address extracted from citizen ID card and address obtained from reverse geocoding. The results of this application trial achieved a success rate of 95.7%.

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