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Journal of Advances in Information Systems and Technology
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 2715999X     DOI : https://doi.org/10.15294/jaist
Core Subject : Science,
Computer Science & IT
Journal of advances in Information Systems and Technology (JAIST) seeks to promote high quality research that is of interest to the international community.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 83 Documents
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The Improvement of C4.5 Algorithm Accuracy in Predicting Forest Fires Using Discretization and AdaBoost
Journal of Advances in Information Systems and Technology Vol 3 No 1 (2021): April
Publisher : Universitas Negeri Semarang

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Abstract

Data mining is a process used to help analyze data obtained from certain circumstances with a mathematical approach. The decision tree is an algorithm that is often used in data mining. One of the Decision tree algorithms is the C4.5 algorithm. Data mining consists of preprocessing, data mining, pattern evaluation, and knowledge presentation in its application. Forest fire data used were taken from the UCI Machine Learning Repository. Data normalization, data transformation, and discretization are used to preprocess data in research. To improve accuracy, the C4.5 algorithm can be combined with AdaBoost. This study aims to determine how the application of discretization to the C4.5 algorithm with AdaBoost predicts forest fires and determines the increase in its accuracy. Based on the results of ten k-fold cross-validations, the highest accuracy value obtained is 98.04%. The implementation of discretization and AdaBoost increased the accuracy of forest fire predictions by 13.42%.
Comparative Analysis of IPv4 and IPv6 OpenVPN Protocol Performance Based on QoS Parameters
Journal of Advances in Information Systems and Technology Vol 3 No 1 (2021): April
Publisher : Universitas Negeri Semarang

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Abstract

Network security is still a big concern in data exchange because it involves users' data privacy. There are several ways to secure data exchange on the internet. One of them uses a Virtual Private Network (VPN), which functions as a tunnel in the public internet that securely connects users to the local network. This research will analyze the performance of the OpenVPN IPv4 and IPv6 protocols. The method used to determine the performance results is based on the QoS parameters. The performance analysis results obtained are throughput OpenVPN IPv6 is better, namely 198.155 Kbps on ICMP data packets, 35.704 Kbps on FTP data packets, and 17.698 on TCP data packets. The delay value of OpenVPN in IPv4 is superior, namely 1.4s for ICMP data packets, and on IPv6, FTP data packages are superior with 0.1s. Jitter values indicate OpenVPN IPv6 is better with similar results. Packet loss values on OpenVPN for both IPv4 and IPv6 protocols are 0%. Based on these results, throughput IPv6 OpenVPN on ICMP data packets and delay on FTP data packets is better than IPv4 OpenVPN.
Comparison of Forecasting Using Fuzzy Time Series Chen Model and Lee Model to Foreign Exchange in EUR/USD and GBP/USD
Journal of Advances in Information Systems and Technology Vol 3 No 1 (2021): April
Publisher : Universitas Negeri Semarang

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Abstract

Each country has a currency value that applies in its territory and can be adjusted to the value of the currency of other countries. In this adjustment, there is a difference in value when the transaction is made, and the difference in profit can be taken, usually referred to as foreign exchange (forex). In forex trading, analytical calculations are needed to plan a decision to get a significant difference so that the profits will increase. One analysis technique that can maximize the search for an enormous profit difference is by using the prediction method using the fuzzy time series. This method is a method that predicts future data based on historical data or past data. The fuzzy time series method has several models, including the Chen model and Lee model. In determining which model is the best, it is necessary to test using the AFER (average forecasting error rate) based on the level of accuracy of the smallest error value. By using historical data of EUR/USD and GBP/USD from 19 February 2019 to 19 February 2020, it is known that Lee’s fuzzy time series method predicts better accuracy because Chen’s model in foreign currency EUR/USD has a more significant error rate of 0.0018 (0.18%) or greater than Lee’s model which only has a value of 0.0016 (0.16%). Then the Chen model in foreign currency GBP/USD has an error rate of 0.00445 (0.445%) or greater than the Lee model, which only has an error rate of 0.00297 (0.297%).
Classification of Movie Review Sentiment Analysis Using Chi-Square and Multinomial Naïve Bayes with Adaptive Boosting
Journal of Advances in Information Systems and Technology Vol 3 No 1 (2021): April
Publisher : Universitas Negeri Semarang

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Abstract

Sentiment analysis problems have attracted the attention of researchers. Sentiment analysis is a process that aims to determine the sentiment polarity of text. Nowadays, sentiment from product reviews has become a piece of important information for producers and potential customers. This paper conducted a sentiment analysis classification on a movie review from the IMDb site. In the classification analysis, the sentiment of movie reviews used the multinomial naïve Bayes algorithm. Adaboost was applied to boosting the accuracy of multinomial naïve Bayes. Feature selection is used to reduce the number of features and irrelevant features. The chi-square feature selection used was employed in the current study. The accuracy obtained in movie review sentiment analysis classification using the multinomial naïve Bayes algorithm is 81.39%. Meanwhile, the accuracy of the multinomial naïve Bayes algorithm by applying chi-square is 85.37%. The final result of multinomial naïve Bayes algorithm accuracy by applying AdaBoost and chi-square feature selection is 87.74%.
Web-Based Employee Attendance System Development Using Waterfall Method
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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Abstract

Employees are one of the important elements in carrying out the duties and functions of the Pemalang Regency Communication and Information Department (Diskominfo). However, the management of employee data for recording the attendance of Non Pegawai Negeri Sipil (Non PNS) employees at Diskominfo Pemalang Regency is still done manually so it is not effective and efficient. Therefore, it is necessary to create an Employee Presence System that can manage employee attendance data. The goal is to facilitate the process of managing employee attendance data and make attendance data more accurate. The data collection method used in making the system is an interview. In the interview, consultations and direct questions and answers were conducted with the field supervisor regarding the system requirements to be made. Making this system using the waterfall method. The waterfall method is carried out sequentially from one phase to another. There are five phases in the waterfall method, namely requirements analysis, system design, implementation, system testing, and operation and maintenance. From making a system with this method, an employee attendance system is produced that can manage employee attendance data at the Communication and Information Department of Pemalang Regency.
Implementation of Business Model Canvas in Micro, Small, and Medium Eenterprises (MSME) Wall Panel Furniture as an Effort to Increase Production to Expand Market Share
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v3i2.52966

Abstract

Abstract. The panel furniture business is one of Indonesia's quite widely practiced industries. This makes panel furniture business activists have to innovate to create good business models and create panel furniture with high aesthetic value and good business processes in business continuity that can compete with MSMEs throughout Indonesia. This study aims to support the sustainability of business processes by implementing the Business Model Canvas. Data collection methods used in this study were interviews and observation. From the research that has been done, it is found that the implementation of the Business Model Canvas makes business processes run better than before. This is because the business processes that occur run more regularly.
Business Process Evaluation and Improvement Using the Quality Evaluation Framework Approach Restaurant Management During a Pandemic
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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Abstract

Business is an activity that aims to get added value in materials or services. Currently, business is an activity carried out by various groups, and one example is the business carried out by a restaurant in one of the cities of Bandung. Several activities were less than optimal in carrying out its business processes, resulting in various complaints. This activity occurred when the Basil restaurant changed its business process, initially offline to online, due to the covid-19 pandemic. Therefore, it is necessary to evaluate using the Quality Evaluation Framework (QEF) method to find the gaps that occur. The first step is to identify the primary business processes in the workshop, then model the business processes using the Business Process Model and Notation (BPMN). Then determine the quality factor and the company's target and calculate according to the equations in the QEF method. Then identify the quality factors that are not following the company's mark. After finding a gap in the evaluation process, the next step is to carry out a Root Cause Analysis, and the goal is to find out the causes and root causes of the gap. The results of this study are the reasons for the causes of problems that occur in the evaluated business processes.
After Sales Business Process Optimization
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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Abstract

In managing a business, service to customers is something that cannot be underestimated. Customer satisfaction with the services provided will affect whether in the future the customer will conduct transactions again in the business or will choose other services that are more satisfying. After-sales service or after-sales service is a service that is rarely provided by a business to consumers. However, this service is an important service to find out how the level of customer satisfaction with the products of the business. In this study, we will describe the optimization of after-sales services in an SME printing business as a case study. This research will use descriptive research methods with survey data collection methods and literature study. Respondents are customers who have made transactions in this SME printing business.
Design of Attendance System for Pemalang Diskominfo Employees Using Design Thinking Method
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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Abstract

Employees are an important part of carrying out the obligations of the Communication and Information Office (Kominfo) Pemalang Regency. However, the management of employee data for recording attendance at the Department of Communication and Information of Pemalang Regency is still processed manually, so that the attendance process management is considered ineffective and inefficient. Therefore, it is necessary to create an Employee Presence System that can manage employee attendance data. The goal is to facilitate the process of managing employee attendance data and making attendance data more precise. A data collection method is applied in making the system is an interview. In the interview, consultations and direct questions and answers were conducted with the field supervisor regarding the system requirements to be made. The design of this system uses the design thinking method. The design thinking method is carried out sequentially from one stage to another. There are five stages in the design thinking method: empathy, determination, ideas, prototypes, and testing. From making a system with this method, a design for an employee attendance system is produced that is comfortable to look at and easy to use in all circles.
ACCEPTANCE ANALYSIS OF TECHNOLOGY-BASED PERSONNEL MANAGEMENT INFORMATION SYSTEMS (SIMPATIK) IN SUPPORTING THE IMPLEMENTATION OF E-GOVERNMENT IN THE SEMARANG CITY MANPOWER SERVICE
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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Abstract

In this digital era, information technology has an important role for institutions, companies, communities, and governments. In carrying out the main tasks of the Semarang City Manpower Service, one of them is evaluating employee performance. In assessing the performance of the Semarang City Manpower Service employees using SIMPATIK which was developed by the Semarang City BKPP which was launched in 2018. Where the implementation of the new system needs to be evaluated further. This is due to the failure to implement e-government services, not because of the quality and capacity of the system, but because of the low user acceptance of these services. Thus, it is necessary to analyse the level of acceptance in using SIMPATIK services at the Semarang City Manpower Service whether it can be evaluated further. So that SIMPATIK can still exist to be used for various kinds of services contained in the application by ASN at the Semarang City Manpower Service. The method applied to data collection is the interview and questionnaire method. While the method applied to evaluate SIMPATIK is the Technology Acceptance Model (TAM) by applying four research variables, namely perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), and behavioural intentions (BI). To examine the data adopted the method of Structural Equation Model-partial Least Square (SEMPLS). The conclusion reached in this study is that all hypotheses developed in this study were accepted, except for PU on BI rejected because the value of T-Statistics (0.846) < T-Table (1.96) and P-Values were more than 0.05 with a value of 0.398 .

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