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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 73 Documents
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The Application of Simple Additive Weighting Method in the Selection of the Islamic Competition Winners
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

The IRMA Islamic Competition is an Islamic contest held by mosque youth association (IRMA) of the Baitul Muttaqien Mosque at Dolog Housing. Currently, the calculation and ranking method is still conducted manually, and it takes a long time. The data recording process also still using a paper which at any time the recorded data can be damaged or lost before the announcement of the winners of the competition. This study aims to build a decision support system for the selection of the winners of the IRMA Islamic Competition. The simple additive weighting (SAW) method was used to be implemented in the system. The results of the study show that the use of the SAW method effectively helps the committee to easily determine the winners of the competition.
The Impact of Self-Control, Self-Esteem and Peer Environment on Online Shopping Consumptive Behavior
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

Consumptive behavior has been extensively explored by scholars in the traditional consumption environment. However, research on the concept has been somewhat limited in the context of online shopping, particularly the specific types of stimuli among university students. The purpose of this study is to analyze empirically the impact of self-control, self-esteem and peer environment on the online shopping consumptive behaviors. A self-administered questionnaire was developed from the literature was administered to 197 students of Economics Education of Universitas Negeri Semarang. Multiple regression analysis was used to validate the measures developed and test the hypothesized model. The results showed that there is a positive relationship between self-control, self-esteem and peer environment on the online shopping consumptive behaviors simultaneously or partially.
Web Analysis of 4ICU and Webometrics Based on University Ranking using Web Impact Factor
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

The university ranking is currently used as a measurement standard for the development of universities in the world or referred to as World Class University (WCU). Many universities in Indonesia use ranking websites as their credible ranking benchmark. This research tries to compare two flagship ranking websites, Webometric and 4ICU which are frequently used as the main ranking standards in Indonesia. The Webometrics itself has four types of parameters for the measurement, namely Size (20%), Visibility (50%), Rich Files (15%), and Scholar (15%), while 4ICU uses two parameters: Google Page Rank and Alexa Traffic Rank. The results of the Web Impact Factor analysis show that Universitas Alma Ata has the lowest web page ranking with a total score of 144. The results are obtained by combining internal and external links in the web domain: almaata.ac.id. The Google links connected to the Universitas Alma Ata website have 25 backlinks taken from the web crawlers. The web impact factor value obtained from the web impact factor (WIF) formula is 0.005. The WIF values obtained from twenty universities have the same significant results or accepts Ho because the probability value for 2 = 1.03 F c is 0.5975, where the probability has higher value than a = 0.05. There should be a number of websites that can support existing backlinks on university websites.
Diagnostic System of Children’s Nutritional Status using the Production Rule Method
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

This research develops an expert system to identify the malnutrition problem on the children living in the underdeveloped regions. The purpose of this research is to identify the nutritional status of children in rural areas. The method is used to develop the production rule. The production rule method includes analyzing the needs as a base of the rule development. The stages performed to diagnose the children's nutritional status are the measurement of body weight, height, age, and gender. The results of the research show that the body weight and height do not match the standard deviation (SD) threshold, where the value between <-3SD to <-2SD is categorized as thin. If the value <-3SD it is classified as very thin, while -2 SD up to 2 SD means normal category, and the value > 2 SD is stated as fat. From the mapping of the underdeveloped regions in X village, there are still many malnutrition children with 5% percentage of thin category, and 1% is very thin and suffering from bronchopneumonia.
The Semantic Analysis of Twitter Data with Generative Lexicon for the Information of Traffic Congestion
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

This research is closely related to the semantic analysis of Twitter Data with Generative Lexicon for getting information of traffic congestion. This research aims to generate the semantic analysis with Generative Lexicon to obtain structured information about traffic congestion conditions. Semantic analysis is conducted through several stages, namely data acquisition, text segmentation, detection of types and meanings of the words, and (4) semantic analysis. The results of this research, the system can determine the congestion conditions based on the semantic analysis. The system also separates the data of place and time of occurrence of tweets on Twitter.
Water Consumption Prediction of Semarang Water Utilities using Support Vector Regression Radial Basic Function Kernel Method
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

People have various needs that can’t be released considering their role as living things. The diversity of human needs requires planning for the future, one of which is the provision of water supply because water needs are increasing. Estimation models can be done using the Support Vector Regression (SVR) method. SVR is a development of the Support Vector Machine for regression cases. SVR has four kernels that are commonly used, and in this study, the kernel used is the Radial Basis Function Kernel because RBF is considered capable of maintaining good predictive accuracy. The purpose of this study is to apply the SVR method to predict water consumption with the Radial Basis Function kernel by getting the best SVR parameter and knowing the error value generated from the SVR method. The data used in this study is Semarang Water Utilities’ (PDAM) water consumption data from January 2013 to March 2018. The SVR method test results obtained the best parameters are lambda (λ) = 10, sigma (σ) = 0.001, cLR = 0.01, C (Complexity) = 0.01, epsilon (ɛ) = 0.00000001, with the number of iterations = 1000, produces the lowest Mean Absolute Percentage Error (MAPE) is 1.751%.
An Analysis of User Interface and User Experience Using System Usability Scale and GOMS Method
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

This study aims to examine user interface and user experience of Lumbung Media, online media storage of Universitas Negeri Semarang. Data were collected through a questionnaire technique by using the System Usability Scale (SUS). The obtained data were then analyzed using Goal, Operator, Methods, Selection Rules (GOMS) Analysis. SUS was used to obtain usability values and GOMS was employed to predict the time spent by users to achieve a goal on a website with a sequence of steps. The study results revealed that there is a significant improvement of Lumbung Media website before and after developed. The aspects of improvement include searching and production process. The new Lumbung Media is now more efficient and effective to be used to document instructional media.
Application of Discretization and Information Gain on Naïve Bayes to Diagnose Heart Disease
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

In the health sector, there is a lot of data that can be processed and utilized. Current technology can be used to process data and produce predictions or diagnosis of disease. To diagnose the disease, it is necessary to have a patient medical record or health data which have collected in the past. In the process of processing the data requires a method that is called data mining. In data mining, some methods can be used for example classification. One of the algorithms found in the classification method is the Naïve Bayes algorithm. Naïve Bayes is an algorithm of classification method that is often used. The improvement of the accuracy of Naïve Bayes algorithms can be done by using discretization and information gain. The purpose of this study was to determine the application of discretization and information gain in heart disease datasets. The data used in this study are datasets of heart disease obtained from the UCI repository of machine learning consisting of 270 instances and 14 features. In this study, the mining process uses k-fold cross-validation with a value of k = 10. The results of the application of the Naïve Bayes algorithm classification obtained an accuracy of 85.1852% while the accuracy of the Naïve Bayes algorithm with discretization and information gain accuracy increased to 85.5556%. The enhancement of accuracy is obtained from the removal of scales performed using information gain and discretization techniques on Naïve Bayes algorithms with an increase of 0.3704% compared with the accuracy of the Naïve Bayes algorithm.
Implementation of Fuzzy K-Nearest Neighbor Method in Decision Support System for Identification of Under-five Children Nutritional Status Based on Anthropometry Index
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

Nutritional status is one of the important factors in assessing the level of health and growth of infants and under-five children. But the present, there are still many problems caused by an imbalance in nutritional intake with the nutritional needs of children. K-Nearest Neighbor method in the previous studies showed the existence of prediction results with the problem. This study used a standard anthropometric index or body size to carry out the process of calculating nutritional status using the Fuzzy K-Nearest Neighbor method. Fuzzy is applied to reduce the problem in classification. Predictions produced are three categories of nutritional status, namely BB/U (weight according to age), TB/U (height according to age), and BB/TB (weight according to height). The k value taken for the classification process is k=10. Fuzzy K-Nearest Neighbor process has done by taking the closest Euclidean distance to the number k from the training data to the test data. The prediction class results of 95 out of 96 data are stated accordingly after the value of the membership is calculated. The accuracy of the test performed produces a cumulative accuracy of 98.96%. This study can be used as a reference for further research by adding training data with more complete class variations in each category of nutritional status to obtain more optimal accuracy.
Implementation of the Servqual Method as a Service Support Decision Support System in Hotels
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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Abstract

Hospitality is one component of the tourism industry as a means of moving in the field of services that provide services to visitors. In the current era of globalization, several companies focus on the priority of customer satisfaction. The rapid development of information technology requires companies in various fields to provide fast and appropriate solutions to address the needs or desires of the customer, included in the field of hospitality. For finding out the service quality attributes, a support decision system can be developed for service improvements in hotels. The data used in this research are data obtained from one of the four-star hotels in the city of Semarang, which are 150 data for hotel visitors and 80 for employees in the hotel, this study began in April-May 2018. Implementation of the Decision Support System (DSS) on the system produces a gap value that has the greatest value will be a concern and a priority in improving hotel services. By applying the Service Quality (Servqual) method, the first rank is Assurance with the gap value of -0.11, the second is Empathy with the gap value of -0.17, the third is Reliability with the gap value of -0.19, the fourth is Responsiveness with the gap value of -0.31, and the fifth is Tangibles with the gap value -1.39. So, it was concluded that the overall value is negative, which means it has not met customer expectations. These findings indicate that the dimensions of Tangibles need to be revisited.

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