cover
Contact Name
Tri Anggraeni
Contact Email
tri.anggraeni@mmtc.ac.id
Phone
+62895391032353
Journal Mail Official
jitu@mmtc.ac.id
Editorial Address
Jln. Magelang Km. 6 Sleman, D.I. Yogyakarta, 55284
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Journal of Information Technology and its Utilization
ISSN : 29854067     EISSN : 2654802X     DOI : https://doi.org/10.56873/jitu
To explore scientific developments in the field of information technology and its utilization, including data mining, IoT, Artificial Intelligence, Digital Processing, and Information Systems.
Articles 80 Documents
THE ANALYSIS OF E-LEARNING SUCCESS BY USING DELONE AND MCLEAN SUCCESS MODEL (CASE STUDY: PERTAMINA UNIVERSITY) Burhan Mafazi
Journal of Information Technology and Its Utilization Vol 4 No 1 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.4.1.3694

Abstract

Education is a crucial thing and highly concerned all over the world. As one of the educational institutions, the university has currently applied many information systems because of several obstacles and problems. With the fast development of information and communication technology, the learning process also has improved, known as e-learning. Pertamina University is a private university located in Jakarta, which has six faculties and 15 study programs. Since its inception in 2016, Pertamina University has applied e-learning to its students. Based on the conceptual models developed by DeLone & McLean, this research aims to examine the success of the implementation of the e-learning system in Pertamina University with six variables, which are information quality, system quality, service quality, use, user satisfaction, and net benefit. The results of the study using 610 samples showed that the information quality variable did not affect the user satisfaction variable, which means that the quality of information on e-learning needed to be improved again to get a better response to user satisfaction.
AN IMPLEMENTATION OF TWO-FACTOR AUTHENTICATION TECHNOLOGY USING TIME-BASED ONE TIME PASSWORD (TOTP) METHOD ON PRIVATE CLOUD STORAGE WEBSITE FOR GUIDANCE AND COUNSELING TEACHER Jerry Olbinson
Journal of Information Technology and Its Utilization Vol 5 No 1 (2022)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.5.1.3854

Abstract

Guidance and counseling teacher, as an assistant profession, provides counseling services for all students. In providing counseling services, the first activity to be performed is the collection of students’ data. The data collected are confidential. Technological advances in private cloud storage media and two-factor authentication can help the guidance and counseling teacher in the fulfillment of students’ data storage and protection. Cloud storage is one of the solutions in dealing with data management so that it is centralized and facilitates access for system users. It is also balanced with the security technology on an application to guarantee the data security in the application. The security technology of two-factor authentication can be combined with a password and time-based one-time password. A time-based one-time password is often used on an application that uses two-factor authentication with the combination of a secret key and current timestamp. This study aims to create a private cloud storage website for guidance and counseling teacher with two-factor authentication using the time-based one-time password method. This website has been tested with black-box testing and user testing. From the results of the tests, a private cloud storage website with two-factor authentication using the time-based one-time password method was well accepted by the users because it helps the guidance and counseling teacher in sharing data safely, and the results of the average percentage in all questions were 85%.
USABILITY AND USEFULNESS FOR ONLINE SINGLE SUBMISSION SYSTEM IN INVESTMENT AND ONE-STOP INTEGRATED SERVICE OFFICE, SAMARINDA CITY Ummul Hairah; Edy Budiman
Journal of Information Technology and Its Utilization Vol 4 No 1 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.4.1.3892

Abstract

The challenge of implementing the online service public system from the user side of the system is the acceptance and use of technology. User characteristics for accepting or rejecting the use of the system for various reasons (digital literacy) for the adoption of new technologies such as the Online Single Submission (OSS) system. The research purpose is to offer a theoretical model of the Technology Acceptance Model (TAM) to evaluate the use and acceptance of users to the OSS system at the Investment Service and One-Stop Integrated Service of the Samarinda City during the Covid-19 pandemic. The method used to measure the variable effects using Partial Least Square - Structural Equation Modeling (PLS-SEM) on perceived ease of use (usability) and perceived usefulness, behavior intention to use, and Attitude toward Using the Online Single Submission system. Based on the results of testing the hypothesis H0 proposed is accepted. OSS system users find it useful to assist in completing work (licensing process). That perceived Ease of Use, Perceived Usefulness have a positive effect and significant on the Behaviour Intention to Use adopt the OSS system for users and have a goodness of fit.
COMPARISON OF LINEAR AND VECTOR DATA NORMALIZATION TECHNIQUES IN DECISION MAKING FOR LEARNING QUOTA ASSISTANCE Edy Budiman; Ummul Hairah
Journal of Information Technology and Its Utilization Vol 4 No 1 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.4.1.3897

Abstract

Data normalization is essential for all kinds of decision-making problems, and a lot of effort has been spent on the development of normalization models in multi-criteria decision making (MCDM), but despite all this, there is no definite answer to the question: Which is the most appropriate technique?. This paper compares the popular normalization techniques: Linear Normalization (LN) and Vector Normalization (VN) using VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) Method. The beneficiaries dataset of learning quota was collected of 399 students sample through observation (drive-test measurements and online questionnaires) to obtain information on criteria data including attributes in online learning during the Covid-19 pandemic. The ranking results for vector vs linear normalization show how ranking is affected. The difference in the selection of the best alternative (rank) shows that there are differences in vector and linear assessments that are influenced by the max-min criterion value which has an impact on the rank- sum results (benefit/cost). This test clearly shows how important it is to use an appropriate (normalized) representation of the model because there will often be a criterion where "the higher the better" while for others (cost) "the lower the better".
COMBINING SUPER-RESOLUTION ALGORITHM (GAUSSIAN DENOISING AND KERNEL BLURRING) AND COMPARING WITH CAMERA SUPER- RESOLUTION Muhamad Ghofur
Journal of Information Technology and Its Utilization Vol 4 No 1 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.4.1.3914

Abstract

A good Super Resolution (SR) algorithm is one of the key successes to filter frequency that creates noise to a picture. Previous research that has published was concluded the Camera SR is the best algorithm to filter this frequency based on their Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) results. However, the current approach to achieving high resolution have not yielded enough signal to filter unwanted pixel. Hence, there is a need to find a better approach to those leads to higher resolution through lower noise reduction. To fulfill this need, this thesis proposed to utilize two proven SR algorithms; Gaussian Denoising and Kernel Blurring. This thesis will not only be obtaining these two existing algorithms in a stand-alone form but hence the combination of them (two combinations) will also be obtained as the new possible algorithms that can be utilized to filter frequency that create noise to a picture. To reach the research objective, the method that will be used is by training a total of four algorithms one by one to a public data set that contains 200 pictures and gets the PSNR and MSE results of each algorithm. Comprehensive experimental results show that all those four SR algorithms outperform previous SR algorithms in commonly used data set with variously higher PSNR by 21% and lower MSE by 5%.
A NETWORK PERFORMANCE COMPARISON OF WEBRTC AND SIP AUDIO AND VIDEO COMMUNICA TIONS Sulthan Kharisma Akmal; Aji Gautama Putrada; Febri Dawani
Journal of Information Technology and Its Utilization Vol 4 No 1 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.4.1.3939

Abstract

Multimedia services are one of the internet needs with high data traffic network count since 2019. Two of the multimedia services, Web Real-Time Communications (WebRTC) and Session Initiation Protocol (SIP), have been widely used in applications for conducting video conferencing. The main objective of this research is to analyze network performance by an application with a client-server for audio and video communications developed with WebRTC and SIP protocols. The SIP system uses the FreePBX server, and the softphone application uses Bria. Whereas WebRTC uses JavaScript with servers on Ubuntu using Node.js. The analysis application uses a star topology and runs on a local network using Wi-Fi. After testing, the results show that the throughput, jitter, and packet loss of WebRTC are better than SIP. This result is caused by several factors including the type of codec, the type of platform, and the way of signaling and routing of each protocol.
PREDICTING PARTICIPANT COMPETENCE TEST RESULT USING MACHINE LEARNING APPROACH Evi Pane
Journal of Information Technology and Its Utilization Vol 4 No 2 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.4.2.3941

Abstract

The 3in1 training for electronics operators aims to deliver competent participants. Therefore, it is necessary to improves the learning curriculum and materials. However, the organizer and teaching staff lack information about the factors that determined the success rate of participant's competence tests. Therefore, this paper aims to build a model for predicting participant competence test result. The data of participant's assessment scores were first collected and prepared as the dataset. The prediction model builds by applying a machine learning approach. These cover the use of ANOVA to ranked the course subjects towards the competency test results (C and NC) and build the prediction model using the Random Forest algorithm. From the results, we found that the competency test results are more affected by the practical subjects rather than theory subjects. From the ANOVA results, the most significant practical subject is the screwing lesson, while for theory subject is 5S-Kaizen. The prediction model obtains an accuracy of 94,6% for 5-subjects and 91,9% for 8-subjects from the original dataset. However, from the precision rate, it was found that the oversampling and hybrid sampling dataset shown better results. This confirms that the resampling technique is working to solve the imbalanced dataset problem.
THE EFFECTIVENESS OF FLEXIBLE WORKING ARRANGEMENTS AS A FORM OF DIGITAL TRANSFORMATION FROM THE PERSPECTIVE OF INDONESIAN GOVERNMENT EMPLOYEES Emyana Sirait
Journal of Information Technology and Its Utilization Vol 4 No 2 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.4.2.4178

Abstract

During the COVID-19 pandemic, flexible working arrangements (FWA) in Indonesia become necessary. In the Indonesian government, the opportunities and technical concepts of FWA are still being formulated. The survey answered by 745 respondents or 18.6% of the total employees in the Ministry of Communications and Informatics (MCI) indicates employees' perception from various groups of ages, fields of work, and occupations. The results show that more than 80% thought FWA had positive impacts on individual performance and at the same time maintained organizational performance. Some remained challenges are related to the availability of internet access, household affairs, and coordination difficulties.
LOOKING FOR QUR’AN TEACHER WITH THE HAVERSINE FORMULA METHOD A. MUHAMMAD SYAFAR; RIDWAN A. KAMBAU; NURUL HIKMAH MULYANAH
Journal of Information Technology and Its Utilization Vol 4 No 2 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.4.2.4251

Abstract

Education to read and write the Qur'an is the most important thing in Muslim life. The problem that arises is the difficulty of getting a schedule fit between prospective Koran teachers and students, besides the lack of places to study the Koran for adults is also a problem that should be a concern for the sake of the ongoing process of learning the Qur'an.The research method used in this study is a qualitative research method with an experimental approach for programming methods using the Haversine Formula method. The results of this research are in the form of the development of Private Recitation Service and Report Applications Using the Android-Based Haversine Formula Method which can be used to facilitate the community in the process of searching for private Using the Haversine Formula Method Based on Android with distance calculation accuracy rate is 98.92%  
IMPLEMENTATION OF AUTOMATIC DOOR SYSTEM BASED ON BODY TEMPERATURE USING Arduino UNO AND NODEMCU V3 Muhammad Afdhol Rizaldi
Journal of Information Technology and Its Utilization Vol 4 No 2 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.4.2.4302

Abstract

So far, the spread of the corona virus disease is very difficult to prevent and reduce because transmission can occur through non-physical contact which can be easily done without being noticed by people when touching common items or objects that are often used, one of which is doorknobs. The design of the automatic door system on the sliding door was made based on body temperature. The purpose of this study is to reduce the occurrence of corona virus transmission through non-physical contact with objects that are often used in this case doorknobs. The infrared temperature sensor is used to measure the temperature when the user wants to enter the room. If the results of the body temperature measurement are normal (below 38ºC), the door will open and then close automatically.