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Journal : Teika

Penerapan Konsep Finite State Automata (FSA) pada Mesin Pembuat Ice Cream Otomatis Fergie Joanda Kaunang
TeIKa Vol 9 No 2 (2019): TeIKa: Oktober 2019
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v9i02.2200

Abstract

Technology is a tool that helps humans in carrying out an activity. With the use of technology in the industrial field, more goods are being produced. One type of technology that has a large part in the industry is automatic machinery. An automatic machine is a series of technologies intended to change activities that are manual to automatic that have the aim to improve the process of making goods, and have a higher quality product. Automata Theory is a branch of science that is not yet well known to many people but has an important role in the field of computer science. The main concept of the automata theory itself is how to make machines work automatically. Therefore, this study aims to apply the concept of the Automata theory to the automatic ice cream maker. This study discusses two methods for analyzing and supporting applications which are simulations of the ice cream maker itself. The formal method used to analyze the workings from reading the input to updating to give the final result of the machine. Another method used is the prototyping method where this method is used for the application of automatic ice cream maker applications in this study. The results of this study indicate that Finite State Automata can be an alternative for analyzing automatic ice cream making machines by reading the input provided by the user and then developing the patterns used.
Rancang Bangun Sistem Reservasi Kamar pada Manadia Guest House Manado berbasis Web Fergie Joanda Kaunang
TeIKa Vol 10 No 1 (2020): TeIKa: April 2020
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v10i01.2253

Abstract

The development of the technological world is currently experiencing increasingly rapid development. Information technology is no longer just a field of science but also an integral part of the world of business, industry, education and social relations. The hotel or lodging business is one of the growing businesses because it operates 24 hours a day throughout the year without exception regarding holidays. This can be one of the opportunities for the industrial world including the hotel industry to take advantage of advances in information technology by developing computerized systems that can be a means to facilitate those that hotel or lodging services. With the development of a computerized system, processes such as booking a room, providing information to consumers can be done easily. This research aims to design a room reservation system in one of the inns in the city of Manado, Manadia Guest House. The analysis and design of the system in this study uses the UML (Unified Modeling Language) approach, while the system development uses the Prototyping method. The results of this study are a computerized system designs which can be used to facilitate and improve the business processes that exist at Manadia Guest House.
Analisis Target Pemasaran Menggunakan Algoritma K-Means Clustering (Studi Kasus: Hotel Sutan Raja Soreang) Romiwita Irene Klarita; Fergie Joanda Kaunang
TeIKa Vol 10 No 2 (2020): TeIKa: Oktober 2020
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v10i2.2380

Abstract

Sutan Raja Hotel and Convention Center Soreang conducted a marketing technique by sending a random marketing team to do a promotion. The marketing team sent randomly may not be able to achieve the expected target. In order to achieve the target, the placement of the appropriate marketing team will get more efficient results. Customer data that has been stored when a customer registers for check-in at Sutan Raja Hotel and Soreang Convention Center, can be utilized to create marketing support strategies that can be very useful for the Hotel. Data used in marketing strategy decision support include data from the customer's home city, gender, main segment, and duration of stay that is analyzed using the K-Means Clustering Algorithm so that the right customer cluster is known for the promotion approach. Data will be processed using Weka data processing software with K-Means Clustering Algorithm and K = 3 so that the data will produce three clusters. With the final result of Cluster 0 in Jakarta City, male gender, OTA segment play, and 1 day stay duration. Cluster 1, Jakarta City, male gender, individual segment play, and duration of stay for 3 days. Cluster 2 Bandung City, male gender, individual segment play, and duration of stay of 2 days.
Penerapan Algoritma Decision Tree C4.5 Untuk Klasifikasi Mahasiswa Berpotensi Drop out Di Universitas Advent Indonesia Daniel Sinaga; Edwin J Solaiman; Fergie Joanda Kaunang
TeIKa Vol 11 No 2 (2021): TeIKa: Oktober 2021
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v11i2.2613

Abstract

One of the factors that determine the quality of higher education is the percentage of students' ability to complete their studies on time. At present, the problem of student failure and the factors causing it to be an interesting topic to research. Higher education institutions need to detect the behavior of students who have an "undesirable" status so that the factors causing their failure can be identified. Based on the description above, it is necessary to analyze student data such as Gender, Age, Religion, Residence, Social Studies, Discipline, and Debt, based on student data that is as much as 98 data so that it can be used in data mining processing. Where data mining is used to dig and get information from large amounts of data. One of the data mining methods is data classification. By using the classification method with the concept of the C4.5 Decision Tree Algorithm, it produces an accuracy of 90.00%, the result of precision is 87.50, and the result of the recall is 100%. It is hoped that it can increase the desire of the University or Higher Education Institution to provide good thoughts, views, and new policies to students who have problems in lectures, in other words maximizing students in an effort to increase the percentage of student interest in college.
Analisis Komponen Desain Layout, Warna, dan Kontrol User Interface terhadap User Experience pada Aplikasi PeduliLindungi Ovila Victoria; Fergie Joanda Kaunang; Elmor Benedict Wagiu
TeIKa Vol 12 No 02 (2022): TeIKa: Oktober 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i02.2912

Abstract

One of the reasons for the increasing use of smartphones today is the increasingly diverse mobile applications. With the increasing number of mobile applications circulating, more and more application makers are also competing to create applications that satisfy users both in terms of system and appearance. The user interface is one of the factors that influence the user experience. The user interface is not only concerned with aesthetics but also must create a good user experience. Not only the overall appearance, even small details such as buttons or icons can affect the user experience in using a mobile application. If users are happy with the appearance of the mobile application's user interface, users will certainly use the mobile application more often. In this study, an analysis of the user interface design components in the PeduliLindungi application was carried out on the user experience. The analysis was carried out by distributing questionnaires referring to 10 variables of the Heuristic Evaluation method to respondents, where respondents gave an assessment of the aspects in the application to determine the severity rate. Severity rate is an assessment of the level of damage or deficiency in the application. From the calculation results, it is found that the average severity rate is 1,298, which means that it is on a cosmetic problem scale or just a simple design problem that is not a top priority for making application improvements.
Analisis Service Quality pada Aplikasi DANA berdasarkan Sudut Pandang Pelanggan di Daerah Bandung Menggunakan Metode Servqual dan Model Kano Bob Simon Silalahi; Fergie Joanda Kaunang
TeIKa Vol 12 No 02 (2022): TeIKa: Oktober 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i02.2957

Abstract

In the current era of technological advances, all daily activities undergo changes, which were initially manual to digital. Currently, activities are dominated by using mobile applications, for example, in payment transaction systems that are carried out digitally. DANA is one of the most widely used e-wallets by people today. The purpose of this study was to determine the level of customer satisfaction with the quality of service provided by the DANA application and the attributes that have an influence on consumers and the presence or absence of attributes that can change the level of customer satisfaction. The method used is the servqual Method and Kano Model. The Servqual method measures service quality by measuring customer expectations about service quality and their perceptions of the services they receive, then the Kano Model has or no attributes that can change the level of customer satisfaction. the higher the service quality of DANA, the higher the profit and the company lasts longer. This research was conducted in the area of ​​West Bandung with the object of society aged 18-25 years. Based on the results of the analysis using the servqual method, each Servqual indicator has a negative GAP, which means that it is necessary to improve its services by the Fund. The responsiveness dimension has the highest average Gap value of -0.89. While the results of the management using the canoe model there are 10 attributes that affect the level of customer satisfaction. Attributes X6 and X7 are Basic Needs (must have), X8 and X9 affect customer satisfaction based on their desires (O) then the presence of attributes X2, X3, X4, X5, X10 and X11 will increase customer satisfaction, but if there is none it will not lower their satisfaction (A). The Fund should improve its services in this Attractive category because it can increase customer satisfaction significantly. Based on Servqual Method Analysis and Kano Model, Dana needs to improve indicators for customer satisfaction.