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Publisher: Universitas Negeri Padang (Total: 1 journals) [Sort by number of followers]

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	J. of Advances in Information Systems and Technology

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Journal of Advances in Information Systems and Technology
Number of Followers: 0

This is an Open Access Journal

Open Access journal
ISSN (Online) 2714-9714
Published by Universitas Negeri Padang

[1 journal]

The Influence of Recommendation System Quality on E-commerce Customer
Loyalty with Cognition Affective Behavior Theory
- Authors: Alya Aulia Nurdin, Zaenal Abidin
  Pages: 1 - 11
  Abstract: The high number of internet users and the growth of e-commerce make it important for companies or businesses that provide e-commerce services to know the quality of their services to increase customer trust and loyalty. In addition, with the proliferation of e-commerce, there is more information related to available products, sometimes it also causes problems that users feel confused and frustrated to sort out information and make purchase decisions. In some e-commerce, there is already a recommendation system that makes it easier for users to make their choice. This study aims to find out what factors affect customer loyalty to Shopee e-commerce as well as test how much influence the quality of Shopee's e-commerce recommendation system have on customer loyalty with user trust as mediation variables. This research uses a quantitative approach using cognition affective behavior theory. Data collection in this study was carried out by distributing questionnaires through Google forms with purposive sampling techniques. A total of 356 respondents have participated in the study. The obtained data were analyzed with partial least squares – structural equation model (PLS-SEM). From the results of the analysis, seven hypotheses exist. All independent variables affect dependent variables. It was found that recommendation quality (RQ) can affect directly on the LO or indirectly through the trust mediation variable (TR).
  PubDate: 2023-04-04
  DOI: 10.15294/jaist.v5i1.65910
  Issue No: Vol. 5, No. 1 (2023)
Heart Disease Diagnosis Using Tsukamoto Fuzzy Method
- Authors: M. Faris Al Hakim, Nafa Fajriati, Rizka Nur Pratama
  Pages: 12 - 22
  Abstract: As one of the leading causes of death in the world, heart disease needs special attention. Heart disease often causes sudden death because the signs of a heart attack are not easy to detect. However, early detection efforts can still be pursued and continue to be carried out, especially using information technology. This study aims to diagnose the risk level of heart disease using Tsukamoto method and involving 11 input variables such as cholesterol, blood pressure, ECG, and others. At the same time, the output variables include healthy, small, medium, large, and very large. The stages of the method consist of four main processes, namely literature review, fuzzy inference system design, applying of Tsukamoto fuzzy, and evaluation. The research concluded that the fuzzy logic of the Tsukamoto method can be used to diagnose the risk level of heart disease, although the model performance is still limited to an accuracy value of 58%.
  PubDate: 2023-04-04
  DOI: 10.15294/jaist.v5i1.67565
  Issue No: Vol. 5, No. 1 (2023)
Factors Influencing Community Behavior towards SIKER: An Extension of the
TAM model
- Authors: Muhammad Nurkholis Majid, Zaenal Abidin
  Pages: 23 - 37
  Abstract: Sistem Kerja (SIKER) is a system that allows the public to make yellow cards/AK1, join job training, look for job vacancies and invite for interviews. In its application, not many public of Semarang city have adopted SIKER even though the city of Semarang is ranked 2nd in the excellent category in Central Java province in the e-government rankings. This study will observe the effect of perceived usefulness, perceived ease of use, facilitating conditions, and social influence on the behavioral intention of the public of Semarang city in utilizing SIKER, and the variables age and perceived trust will be used as intervening variables. This study uses a quantitative descriptive method with a data analysis approach using Partial Least Square Structural Equation Modeling (PLS-SEM) by utilizing SmartPLS version 3.2.9 tools. A number of 330 valid respondents participated in this current study. The results of this study show that the factors that influence the behavioral intention of the public of Semarang are perceived trust, perceived usefulness, facilitating conditions, and age with a negative direction. Perceived trust is proven to be the biggest factor influencing the behavioral intention to use SIKER services. Whereas the intervening effect of perceived trust is proven to intervene with perceived ease of use and perceived usefulness towards behavioral intention with the intervening effects of full mediation and partial mediation. However, for age, it is proven not to intervene with no intervening effect and unmediated effect.
  PubDate: 2023-04-04
  DOI: 10.15294/jaist.v5i1.64274
  Issue No: Vol. 5, No. 1 (2023)
Sentiment Analysis of student on Online Lectured During Covid-19 Pandemic
Using K-Means and Naïve Bayes Classifier
- Authors: Yusuf Affandi, Endang Sugiharti
  Pages: 38 - 49
  Abstract: The Covid-19 pandemic that occurred at the end of 2019 caused life changes, one of which was the learning process in universities. in accordance with the instructions issued by the Minister of Education as an effort to prevent the spread of Covid-19 by conducting online learning. Learning that is carried out online with a long period of time there are many obstacles such as networks and learning processes that are not optimal. Thus, students have mixed opinions on online lectures. Twiter is one of the social media used by students in expressing opinions on online lectures. The sentiment that users write on Twitter has not been determined in a more positive or negative direction. Sentiment analysis is needed to determine the tendency of student opinions towards online lectures. In this study, a sentiment analysis of online lectures was carried out using the K-Means and Naïve Bayes Classifier methods. The K-Means method is used to perform labeling or clustering and the Naïve Bayes Classifier is used as the classification. Based on research conducted with testing the Naïve Bayes Classifier model with a 70% division of training data and 30% test data using matrix confussion resulted in an accuracy of 95.67%.
  PubDate: 2023-04-07
  DOI: 10.15294/jaist.v5i1.64903
  Issue No: Vol. 5, No. 1 (2023)
Digital Transformation Analysis in the Manufacturing Module in Aluminium
Companies using the TAM Method
- Authors: Arif Saifunnasrullah, Kholiq Budiman
  Pages: 49 - 63
  Abstract: This research was conducted to identify the factors affecting the success of digital transformation through the use of the manufacturing module in aluminum companies. The Technology Acceptance Model (TAM) method was used to measure technology acceptance through the use of the manufacturing module with variables of perceived usefulness (PU), perceived ease of use (PEOU), and perceived risk (PR) that affect the behavioral intention of use (BIU) at PT. Allure Allumunio and the success of digital transformation were measured through descriptive analysis. The sample was taken using the entire population with a total of 50 manufacturing module users. The collected data was analyzed using Partial Least Square – Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0.8 software. A total of 48 respondents with valid data were obtained and validity and reliability tests were performed, resulting in valid and reliable instruments. The R-square, Q-square, and t-test were used to analyze the proposed hypothesis. The results showed that three hypotheses were accepted: PU > BIU, PEOU > BIU, and PEOU > PU, and one hypothesis was rejected: PR > BIU because risk did not have a significant impact on the behavior intention of technology acceptance. Additionally, the analysis of digital transformation success was conducted with results showing an increase in company productivity and a decrease in risk, marked by an increase in units received on time after digital transformation and a 78% level of adaptation satisfaction. The conclusion is that technology acceptance was achieved through perceived usefulness and perceived ease of use, as well as increased productivity, level of adaptation satisfaction, and decreased risk, which are factors contributing to the success of the digital transformation.
  PubDate: 2023-05-04
  DOI: 10.15294/jaist.v5i1.66567
  Issue No: Vol. 5, No. 1 (2023)
A Analysis of Information System Audit Using Control Objectives for
Information and Related Technology 5 Framework on Permata Hebat
Application
- Authors: Muhammad Subekhi Muryantoro, Devi Ajeng Efrilianda
  Pages: 64 - 75
  Abstract: Permata Hebat application is an application created as a service to develop micro businesses among housewifes in Semarang City. However, to fulfill this expectation, of course, the application needs good IT management or governance, so that the application can be optimally utilized by its users. However, since its operation on March 23, 2021, it is not yet known how the quality or level of management capability or IT governance services run by the organization. Information system audit itself is an activity to evaluate and ensure that the system has met the standards. Meanwhile, one of the frameworks that can be used to conduct an audit is COBIT 5. COBIT 5 is a good practice whose processes have been adapted to current standards. As for the process control used is the Deliver, Services, and Support (DSS) domain. The results of the calculation show that for domains DSS01, DSS03, and DSS06 each received a maturity level value of 0.60, 0.52, and 0.61 or at level 1 performed. Meanwhile, domains DSS02, DSS04, and DSS05 each received maturity level values of 0.45, 0.35, and 0.42 or are still at level 0 incomplete. Therefore, there is still a need for a lot of improvement or improvement in each process. The goal is that the system can run in accordance with organizational expectations.
  PubDate: 2023-05-04
  DOI: 10.15294/jaist.v5i1.64187
  Issue No: Vol. 5, No. 1 (2023)