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TIERS Information Technology Journal
Published by Universitas Pendidikan Nasional
ISSN : 27234533     EISSN : 27234541     DOI : 10.38043
Core Subject : Science,
Computer Science & IT
TIERS Information Technology Journal memuat artikel Hasil Penelitian dan Studi Kepustakaan dari cabang Teknologi Informasi dengan bidang Sistem Informasi, Artificial Intelligence, Internet of Things, Big Data, e-commerce, Financial Technology, Business Digital
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 114 Documents
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Design and Build an Industrial Work Practice Presence Information System Using Web-Based GPS Chesiya Novia Wulandari; Inung Diah Kurniawati; Sekreningsih Nita
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3738

Abstract

The design of this industrial work practice attendance information system can help the SMK Model PGRI 1 Mejayan to speed up the attendance process. This system is designed and built to make it easier for the school to find out the activities and positions of students who are doing industrial work practices by locking latitude and longitude. With the construction of this information system, the attendance process will be more closely monitored and reduce attendance manipulation. The purpose of this study was to determine the design and development of an industrial work practice attendance information system using a web-based GPS (Global Positioning System) at SMK Model PGRI 1 Mejayan. This system development method uses a system development model with the Rapid Application Development method and in its design uses the UML model. The result of this research is an industrial work practice attendance information system using a web-based GPS at SMK Model PGRI 1 Mejayan, and made using the programming language PHP, HTML 5, CSS, Java Script, Code Igniter 3 framework and using the MySQL Database Management System. In making this system using the Visual Studio Code text editor.
Prediction of Education Level in Population Data Using Naïve Bayes Algorithm Pungkas Subarkah; Siti Alvi Solikhatin; Irma Darmayanti; Ali Nur Ikhsan; Debby Ummul Hidayah; Rayinda Maya Anjani
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3865

Abstract

Education is the key to improving human resources. The Ministry of National Education is implementing a curriculum that requires students to study it (MoNE) and as part of this program, all Indonesian citizens are required to attend three years of primary education, which includes SD, MI/Equivalent, three years for SMP/Equivalent, and three years for high school/equivalent level. This study aims to determine whether or not a government program that requires Indonesian citizens to study for 12 years is required, therefore it is necessary to test predictions of data on the level of education in Blitar Regency. This study conducted a prediction test by implementing the Naive Bayes algorithm on education-level data in Blitar Regency as of 2020 which was taken from the satudata.go.id website. In the data processing, there are values of precision, recall, f-measure, Weighted Avg, and also Confusion Matrix. The accuracy results of the Naive Bayes Algorithm on education level data in Blitar district show that the district has implemented government policies regarding the 12-year compulsory education program, this is based on the results of data processing which shows an accuracy value of 98.4848% and category good classification.
Implementation of SAW and TOPSIS in Decision Support System to Decide The Best Midfielder in A Football League Caesar Gracia; Wahyu Tisno Atmojo
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3868

Abstract

Football has been one of the most popular sport in the world. In the world of football, there are often debates on determining who the best player of a position is, this debate would be a controversial topic in Football Awards like Ballon d’Or or FIFPro World XI because often, subjective opinions of human are used during the determining process of the best players. The purpose of this journal is to determine the best midfielder in a foot-ball league using a decision support system. The decision support system method used in this research are Simple Additive Weighting (SAW) to normalize and find the weighted sum of each criteria and Technique Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the best alternative from the set of alternatives.The result of this journal will decide the best alterna-tive from a few midfielders that are chosen using a set criteria.
UI/UX Design for Tourism Village Website Using the User Centered Design Method Hasna Tania Yasmine; Wahyu Tisno Atmojo
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3871

Abstract

The importance of creative and innovative technology applies to any sector of industry. Technology offers a lot to improve performance in general. In the tourism sector, creative and innovative technology affects how the welfare of the community and businesses increase significantly. The use of technology can create exposure to enhance, and gain the interest of many people to the tourism itself. Developing a website or mobile based application is a way to be creative and innovative about the solution to increase the number of tourist visits. In addition to reaching the expected number of tourist visits, the application needs to be both effective and efficient in obtaining the up-to-date information regarding the destination. In this study, the User Centered Design method is used to obtain descriptive information to be used as a User Interface and User Experience design guidelines, also the User Experience Questionnaire method to assess the evaluated User Interface and User Experience outputs. One descriptive questionnaire is used as the implementation of User Centered Design, and the two User Experience Questionnaires afterward are used to assess User Interface and User Experience. The second design is appointed to be the final design of User Interface and User Experience based on the end comparison result of User Experience Questionnaire. These design methods produce a more effective output because the process involves direct evaluation from users in order to fulfill the needs and demands more precisely without overdoing the process.
Decision Support System for Industry Machine Maintenance Using Weight Product (WP) Method Rika Yunitarini; Ernaning Widiaswanti
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3880

Abstract

Machine maintenance management is one of the important aspects in every industry. Implementation of machine maintenance management requires the management of various types of data such as machine age, machine condition and so on. Data management with the help of a decision support system will help improve the effectiveness and efficiency of machine maintenance management. In making the right and correct decisions, it is necessary to have decision support. Without machine maintenance management, it can harm the industry because the machine maintenance schedule cannot be determined optimally, and the costs incurred by repair, maintenance and production cessation activities cannot be determined directly. Therefore, the industry needs a decision support system that is able to improve the efficiency of its machine maintenance management. This research focuses on the design and development of a machine maintenance decision support system application using the weighted product (WP) method. Weighted product (WP) method is one of the multi criteria decision making methods used to determine the final decision by using several criteria. This method can provide a reliable methodology that helps to organize the most optimized result in the presence of many different opportunities, parameters, and constraints. Research method used in this study is the Web Engineering Method. This system is developed by using PHP programming language and MySQL as a database. This system is expected to increase the effectiveness and efficiency of machine maintenance management.
The Implementation of The Internet of Things in The Duck Egg Incubator Monitoring System Yanti Yanti; Abd Rohman; Siti Maesaroh; Asep Mustopa; Rizki Muh Febrian
TIERS Information Technology Journal Vol. 3 No. 2 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v3i2.3891

Abstract

Internet of Things (IoT) is a technology that creates modernization and makes it easier for humans to carry out their activities. IoT can be used in various fields, especially in monitoring stand-alone devices. This technology can communicate with other devices by utilizing radio waves and data transmission formats. This study aims to apply IoT to the duck egg incubator monitoring system. The method was an experimental method of designing a temperature and humidity monitoring system by implementing IoT. NodeMCU ESP8266 was used as the microcontroller and the DHT22 sensor was used as the temperature and humidity sensor. This study successfully implemented an IoT system in a duck egg incubator. The test results showed that temperature and humidity data can be read on the blynk application on a smartphone. Temperature and humidity in the incubator can be monitored in real time so that the process of monitoring the performance of the duck egg incubator becomes easier and more practical. This is very useful in increasing the efficiency and effectiveness of the device’s performance.
Implementation of Simple Additive Weighting For Scholarship Admission Selection Joko Kuswanto; M Nang Al Kodri; Trisilia Devana; Leni Pebriantika; Sulia Ningsih
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4022

Abstract

Various types of scholarships are given to students who have achievements both academic and non-academic achievements. Conditions that often occur in the process of awarding scholarships, the assessment is not always decided based on definite considerations and predetermined criteria. Therefore, a decision support system is needed that can assist the scholarship selection team in making effective and efficient decisions. The decision support system to be built applies the Simple Additive Weighting (SAW) method with criteria such as IPS, GPA, Parents' Income, Number of Dependents of parents and Achievement. With the new system, it is expected to help the selection team related to managing applicant data, selection and proposal of scholarship recipients can be done more easily and quickly. After calculation, the highest score of 90.5 was obtained on behalf of Candra K which deserves to be a priority and recommended in receiving scholarships.
Application of The K-Means Clustering Method To Search For Potential Tourists of Bendesa Hotel I Gede Karang Komala Putra; I Gede Wahyu Surya Dharma
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4297

Abstract

Hotels play a significant role in the growth of global tourism. With intense competition in the hotel industry, hotels are shifting their focus from solely providing superior services to identifying potential tourists. In a previous study, the J48 algorithm was employed to extract hotel transaction patterns, achieving an accuracy level of 71.6418% by considering gender and age characteristics[1]. In a separate study, foreign guest ratings by province were classified into three clusters. The study concluded that nearly 90% of provinces in Indonesia exhibit low levels of tourism, supported by the analysis of the number of tourists staying, as reported by the statistical center[2]. To identify potential tourists who can bring benefits to the hotel, hotel managers can utilize the k-means algorithm. In this study, a data mining process was conducted using data collected from tourists who stayed at the Bendesa Hotel. The process began with tourist segmentation using the K-means algorithm divided into clusters. Subsequently, the accuracy of the obtained data was calculated. This research employed room class as a reference value to discover tourist characteristics at the Bendesa Hotel. The results of applying the K-means model with 4 clusters indicated that the accuracy level for identifying potential tourists reached 84.4%.
Improving Performance of RNN-Based Models With Genetic Algorithm Optimization For Time Series Data Muhammad Muharrom Al Haromainy; Dwi Arman Prasetya; Anggraini Puspita Sari
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4326

Abstract

Stock price data or similar time series data can be used to carry out forecasting processes using past data. The method that can be used is like a neural network, one type of neural network that is used is the Recurrent Neural Network. When using the Recurrent Neural Network (RNN) method, we need to determine the appropriate parameters in order to get the best forecasting results. It takes experience or . In this study, this problem can be solved using optimization algorithms, such as Genetic Algorithms. With genetic algorithms, neural networks can be trained to get the best objective function. So that after implementing the RNN which was optimized using the Genetic Algorithm on stock time series data, when the trial was carried out without optimization the Genetic Algorithm got an RMSE value of 0.108, after being combined using the genetic algorithm it got an RMSE value of 0.106.    
The Effect of Information Quality and Service Quality on User Satisfaction of the Government of Kabupaten Malang Dwi Arman Prasetya; Anggraini Puspita Sari; Prismahardi Aji Riyantoko; Tresna Maulana Fahrudin
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4328

Abstract

Currently, the government has implemented performance digitization through information systems that are published through official channels owned by the government, one of which is the government of Kabupaten Malang. The objective of this research was to assess or gauge the measurement and test variables and indicators that affect the quality of the Kabupaten Malang government website with the link www.malangkab.go.id/mlg The problem is, not many governments have launched applications paying attention to the factors that influence user satisfaction so that the government has not been able to prioritize repairs and optimize website performance to meet constituent needs that continue to grow in the digital era. This research employs a survey to identify the causal elements that impact the factors contributing to user satisfaction on the website. The causal factors include website service quality, information quality, and usability quality in user satisfaction. Respondents used in this study were website operators for regional apparatus in Kabupaten Malang, consisting of 81 respondents who met the requirements. In obtaining valid and reliable data, multiple linear regression and hypothesis testing were carried out. There are 4 multiple linear regressions that are carried out, namely, multicollinearity test, autocorrelation test, heteroscedasticity test, and normality test. The results of the influence of service quality, and information quality on user satisfaction through usability quality are 5 models that have a significant influence, that is Service Quality to Usability Quality, Information Quality to Usability Quality, Service Quality to User Satisfaction, Information Quality to User Satisfaction, and Usability Quality to User Satisfaction.

Page 7 of 12 | Total Record : 114

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