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Jurnal TAM (Technology Acceptance Model)
Published by STMIK Pringsewu Lampung
ISSN : 23391103     EISSN : 25794221     DOI : -
Core Subject : Science,
Computer Science & IT
The journal TAM (Technology Acceptance Model) pISSN : 2339-1103; eISSN :2579-4221, is a peer-reviewed, scientific journal published by STMIK Pringsewu Lampung. Receives articles in technology information and this Journal publishes research articles, literature review articles, case reports and concept or policy articles, in all areas such as, Geographical Information System, Information systems scale Enterprise, Database, Data Warehouse, Computer Network Security, Data Mining, Computer Architecture Design, Mobile Computing, Computing Theory, Embedded system, Electronic Government, Electronic Commerce, Application Program, Decision Support System, Artificial Intelligence, Expert System, And Various Fields of Science Related to Information Technology and Information System.
Arjuna Subject : -
Articles 211 Documents
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INFORMATION SYSTEM FOR TAX CONSULTANT SERVICE PROVIDERS (C-TAX) BASED ON WEB-BASED WITH MULTI-ATTRIBUTE UTILITY THEORY (MAUT) METHOD Purnama Suppardi; Benny Daniawan
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1275

Abstract

Tax is a mandatory contribution to the state owed by an individual or entity that is coercive under the law, with no direct compensation, and used for state purposes. But many people still do not understand taxation, so some people, including taxpayers, need help or consultation from professional, that is Tax Consultants. However, in the digital era, there are still many people who are looking for tax consultants only through recommendations from colleagues or acquaintances. This designed system can help taxpayers in finding tax consultants using the Multi Attribute Utility Theory (MAUT) method, this method can provide tax consultant recommendations based on the selected criteria. Tests carried out on this system uses Technology Acceptance Model (TAM) method based on data obtained from 89 respondents and processed using the Smart-PLS application. The test results found that the five hypotheses were well received because the value of the t-statistics in each assumption was more significant than the t-table value of 1.989 and the p-value smaller than 0.05. In addition, the percentage correlation value of the hypothesis shows that PEOU influences PU by 61%, PU and PEOU influence ATU by 62%, and PU and ATU affect BITU by 47%.
THE NAÏVE BAYES METHOD AS A MEASUREMENT MODEL EFFECTIVENESS OF ONLINE LEARNING Siti Mukodimah; Muhamad Muslihudin; Suyono Suyono; Trisnawati Trisnawati
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1283

Abstract

The rapid development of technology requires the world of education to be able to take advantage of its positive impact, making various new innovations by utilizing technology to support education such as online learning in the learning process amid the Covid-19 pandemic. Changes in learning methods which occur suddenly from conventional learning methods or directly face-to-face switching to distance learning methods or using online learning media greatly impact and influence students who come from underprivileged families and students who are in remote areas where internet access and inadequate infrastructure. This study aims to create a classification model for measuring the effectiveness of online learning in Pringsewu using the classification method. The classification method is used to classify data based on the nature of the data which each class already recognizes. There are various methods which can be used to classify data using the Naïve Bayes method. The results of the research conducted are a classification for measuring the effectiveness of online learning in Pringsewu. The feasibility of the model obtained is supported by the results of the analysis of the Naïve Bayes model which has an accuracy rate of 98.48%, an AUC value of 0.995, a precision level of 98.17% and a 100% recall. In this study, the level of accuracy of the performance of the model used reached values above 90%. In addition, the AUC value of the two methods used is also more than 90% which is a value that is categorized as Excellent Classification. Further research can be carried out using other different parameters such as Economic Capability, Regional Location, Connectivity Mode, Digital Literacy, and others. In addition, this research was conducted only from the student's point of view. Inclusion of school opinion in future research will be useful in determining the exact effectiveness of online learning.
BEHAVIORAL INTENTION AND USE BEHAVIOR ANALYSIS OF DANA FINTECH USERS USING THE UTAUT 2 METHOD Komang Putri Damayanti; Sephy Lavianto; I Gst. Agung Pramesti Dwi Putri
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1281

Abstract

DANA Fintech is currently used for non-cash transactions due to the convenience and practicality of transactions offered by service providers. However, it is currently unknown to what extent the success of the electronic wallet has been implemented and there are still problems such as loss of balance, failure to top up balances and the features of the DANA application which are still poorly understood. One of the determining factors for the success of a system which is implemented is from the side of user acceptance, behavioral intention (user interest) and use behavior (user behavior). This study aimed to determine what factors could influence the Behavioral Intention and Use Behavior of DANA Fintech Users towards private workers in the city of Denpasar. This research was conducted using a quantitative approach, distributing online questionnaires, and analyzing data processing using SPSS version 25 and SmartPLS 3.0 software. The results of the 12 (twelve) hypotheses proposed, 7 (seven) hypotheses were declared insignificant and rejected because the T-statistical value of the hypothesis was less than 1.96, while 5 (five) hypotheses were declared significant and accepted because the T-statistical value of the hypothesis is more than 1.96. The results of this study are expected to be one of the considerations in making decisions for electronic wallet service providers to be implemented more optimally.
ANALYSIS OF USER ACCEPTANCE OF THE MOBILE APPLICATION OF NATIONAL HEALTH INSURANCE USING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) METHOD Dedy Syamsuar; Syekar Al Reza
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1246

Abstract

Information and Communication Technology (ICT) plays an important role in the business world, not only as a tool to gain a competitive position but also to achieve time and cost efficiency. One application which is widely used by the public, especially in the health sector is JKN Mobile, which was developed by Social Security Agency of Health to get closer to its users in obtaining health information and health facilities. This study aims empirically to explain the factors which influence the acceptance of the Mobile application of National Health Insurance from the user's point of view. This research adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical basis. Data collection used a survey and this effort succeeded in obtaining 177 valid responses. The survey data was then rigorously analyzed using the Structural Equation Model - Partial Least Square (SEM-PLS). The results of this study indicate that Performance Expectation (PE), Effort Expectation (EE) and Social Influence (SI) have a positive effect on User Behavior Intentions (BI) with t-test values of 4.231, 3.750 and 4.762 respectively. These three variables can convincingly explain the BI of 65.0% in using the application. Furthermore, the Facilitating Condition (FC) and BI variables contribute 67.5% to explain the factor variance in the use of the Mobile application of National Health Insurance with t-test values of 8,698 and 4,253 respectively BI to Used Behavior (UB) and FC to UB. Therefore, this research is theoretically contributed by validating the use of UTAUT in the deployment of ICT in the health sector.
ANALYSIS OF E-LEARNING ACCEPTANCE IN GENERATION Z STIKI INDONESIA DURING THE COVID-19 PANDEMIC I Gusti Ayu Agung Mas Aristamy; Theresia Hendrawati
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1302

Abstract

E-Learning has been applied for a long time in Indonesia and other developed and developing countries. However, research by Salloum et.al., said that E-Learning systems in developing countries were partially or completely not adopted; utilization has not been completed and is considered less than a satisfactory level. This refers to the lack of understanding of the factors that influence adoption. One of the latest studies on distance learning during the COVID-19 pandemic said that there were several obstacles experienced by students, and teachers. This study aims to analyze the adoption of E-Learning technology in Generation Z at one of university in Bali during the COVID-19 pandemic. Results of this study indicate that there is a positive impact of computer self-efficacy and accessibility on the perception of the ease with which students use the E-Learning system. The factors of information quality and content quality positively affect the students' perceived ease of use and usefulness of the E-Learning system. It is this perception of the usefulness and ease of use of the E-Learning system that has an increasing impact on students' intentions and attitudes to use the E-Learning system in the future.
LAND COVER SPECTRAL DATA CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK (ANN) Febri Maspiyanti; Ionia Veritawati; Amir Murtako; Riadika Mastra; Jullend Gatc
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1311

Abstract

Bamboo is one of the plants in the tropics which is also a lignocellulosic natural material which can be used as a substitute for wood. There are hundreds of types of bamboo in Indonesia, where each type has its own characteristics in its use so that bamboo has potential in the industrial sector where when combined with innovation and creativity it has high economic value and is in demand by domestic and foreign consumers. The use of "Remote Sensing" technology, especially in terms of identifying bamboo and vegetation and other objects, has been proven through research related to land cover classification. This study aims to classify land cover spectrum data using an Artificial Neural Network algorithm.Classification of 36 data consisting of light bamboo, dark bamboo, dry soil, wet soil, bricks, concrete, grass, and taro leaves was evaluated using accuracy techniques. The resulting accuracy is 94.45%.
ANALYSIS OF MICROSOFT STREAM E-LEARNING FOR AUTOMOTIVE COMPANY EMPLOYEES USING THE UTAUT MODEL Nanang Susanto; Ariyanto Adi Nugroho; Dwiza Riana; Sri Hadianti
Jurnal TAM (Technology Acceptance Model) Vol 13, No 2 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i2.1303

Abstract

Competence and knowledge of employees need to be improved continuously. This is in order to improve performance and increase company productivity. This performance indicator becomes difficult to achieve during the COVID-19 pandemic. Microsoft Stream e-Learning was chosen as a solution to continue carrying out competency improvement activities. This study aims to understand the factors that influence employee attitudes towards e-Learning. There were 138 employees who participated in the survey conducted by the researcher. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) method with variables including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention to use, Gender, Age, Instructor Quality, and Support System Quality. The test results from the study show a positive and significant effect on the use of Microsoft Stream e-learning with learning facilities, the quality of the instructor and the quality of the support system.
APPLICATION OF THE K-MEANS METHOD FOR CLUSTERING BEST SELLING PRODUCTS IN ICE CREAM SALES Hana Atthifa Ryantika; Supriyanto Supriyanto; Asep Afandi
Jurnal TAM (Technology Acceptance Model) Vol 14, No 1 (2023): Jurnal TAM (Technology Acceptance Model) Preview Issue
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i1.1499

Abstract

From youngsters to adults, ice cream is a culinary item that is highly sought after by a variety of demographics. The ice cream combination, which includes a variety of culinary items including dairy products, sugars, stabilizers, flavor enhancers, and eggs, is frozen to create this dish. Aice Ice Cream has a wide variety of goods, which makes it popular with customers. According to various data that the author has observed from Agent Aice Harun, including the fact that there are still challenges in the stock of goods available to meet consumer demand, it is necessary to forecast sales of Ice Cream Aice products that are most in demand by consumers in order to facilitate stock provision. Due to these problems, the researchers conducted. The K-Means Clustering Algorithm approach will be applied manually during the clustering process, and Python data mining tools will be used for the implementation. The final calculation results are the same, showing that 48 things are the most desirable, 6 items are pretty attractive, and 6 items are less desirable, according to the results of determining centroid values arbitrarily using the Euclidian Distance formula manually using Python Tools. Agent Aice Harun is able to supply goods that are in line with consumer preferences as a result. Python computations and manual calculations get the same conclusion. Therefore, it is evident from these data that the accuracy value attained is 100%.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT PEMINJAM MENGGUNAKAN LAYANAN FINTECH PEER TO PEER LENDING KREDIVO PADA MASA PANDEMI COVID 19 DI WILAYAH KOTA DENPASAR Ida Ayu Gede Yuniari Santhika Putri; Ni Made Estiyanti; Linda Yupita
Jurnal TAM (Technology Acceptance Model) Vol 14, No 1 (2023): Jurnal TAM (Technology Acceptance Model) Preview Issue
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i1.1398

Abstract

Untuk mengetahui faktor-faktor yang mempengaruhi minat Masyarakat Kota Denpasar dalam penggunaan peer to peer lending Kredivo, pada masa pandemi covid-19. Dalam penelitian ini, akan menggunakan model Technology Acceptance Model (TAM), dengan menambahkan 2 variabel tambahan. Penelitian ini mengunakan teknik Convenience Sampling sebagai cara pengambilan sampel dan untuk Jumlah sampel dalam penelitian ini sebanyak 120 orang, dasar pengambilan jumlah sampel 120 orang berlandaskan pada teori Ferdinand (2014) dalam metode SEM yakni jumlah sampel yang dibutuhkan paling sedikit 5 kali jumlah variabel indikator. Untuk mengelola data yang telah didapat pada lapangan, maka menggunakan Partial Least Square (PLS) menggunakan software smartPLS 3.0. Hasil pengujian yang dilakukan memperoleh bahwa dari delapan hipotesis yang di uji, memiliki hubungan yang signifikan serta dapat di terima.  
ENTERPRISE ARCHITECTURE PLANNING SEBAGAI BLUE PRINT SETRATEGI PROMOSI KELOMPOK PENGELOLA USAHA MAHAN TAPIS Agus Salim; Muhamad Muslihudin; Fauzi Fauzi
Jurnal TAM (Technology Acceptance Model) Vol 14, No 1 (2023): Jurnal TAM (Technology Acceptance Model) Preview Issue
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i1.1421

Abstract

The advancement and development of technology that we enjoy today is the impact of the era of globalization. The existence of technological advances in the business world is marked by the emergence and increase of business actors (MSMEs). The problems that occur in the scope of business actors show that business actors (KPU) in Pringsewu Regency still depend on simple Customer to Customer (C2C) business management. Research conducted by designing Enterprise Architecture Planning for groups of business actors is expected to be able to encourage business progress and business quality such as changes in promotion strategies and sales transactions. Enterprise Architecture Planning (EAP) is a modern approach to planning data quality and achieving information system missions and the steps taken to define the architecture for using information to support business and planning the implementation of that architecture. The results of the research are in the form of system architecture design, interface architecture design, and technology architecture design. The resulting architectural design allows for more open coordination between IT and business units, providing businesses with opportunities to prioritize investments, making it easy to test the current architecture against long-term goals.

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