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Jurnal Riset Informatika
Published by KresnaMedia Publisher
ISSN : 26561743     EISSN : 26561735     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik Informatika.
Arjuna Subject : -
Articles 417 Documents
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Implementation of AHP Method in Decision Support for Selecting Outstanding Students Case Study: Senior High School Ari Puspita; Yuyun Yuningsih; Hilda Amalia; Ade Fitria Lestari
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research looks for excellence each student has to find out students who excel. Academic and non-academic achievements can be a benchmark for finding the best students. The research method used in this study is the survey research method, in which the writer will distribute the questionnaire to one of the High Schools with the target of the research being students and observing through the principal and teachers at the High School. This study uses the AHP (Analytical Hierarchy Process) method which is assisted by Expert Choice Software in making decisions regarding high-achieving students in high schools in the Tangerang area. AHP process by comparing one student with other student candidates based on predetermined criteria, also comparing between criteria, to find which criteria are more favored. The results of the processing of the Expert Choice Software in the form of graphic images that show superior students can be decided by decision-makers. Keywords: Survey, , Achievement
Analyzing Customer Satisfaction on Arthaspa Services with the C4.5 Algorithm Approach Sofian Wira Hadi; Wawan Kurniawan; Kudiantoro Widianto; Ibnu Alfarobi
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.73

Abstract

Customer or buyer satisfaction is closely related to how a seller of services or a store serves its visitors. Good service for visitors also makes a good impression on visitors, while the opposite will cause a very bad or unfavourable impression in the eyes of customers, and may also lead to the reluctance of visitors to come back and lose the seller's opportunity to get potential buyers to become customers. This study attempts to analyze customer satisfaction with the services provided by Arthaspa outlets in Grand Kemang hotels using the C4.5 Algorithm approach. The attributes used are comfort, cleanliness, tidiness, and price. samples taken are customers who have transacted at least once.
Using the Model View Controller (MVC) Method in Medicament Sales Information System Design Nur Hidayati
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.74

Abstract

Sales have an important role in an organization, especially medicament sales at Pharmacies, especially at Apotik Bubulak Bogor. The use of a good information system is certainly very necessary for the Pharmacy to manage its data. In managing its sales data, this Pharmacy still uses a conventional system, so various problems arise, such as miscalculations in making reports, often forgetting to record transactions that occur, and many still use paper as a documentation tool. So, it is necessary to design a system to be implemented in the sales system. To be able to overcome various existing problems, the new system can be more effective, and the data produced more accurately. Therefore, to achieve this goal, it is necessary to use the right method, namely the MVC (Model View Controller) method. This MVC method can show the needs needed in building the information system. A good result of this MVC method is to separate the application logic process from the user interface.
Implementation of C4.5 Method to Determine the Factor of Being Late for Coming to School Cendana Puspitasari
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.75

Abstract

Being late to school is a deviant act that violates the rules or regulations in the school, both written and unwritten. The discipline of students coming to school is the first to see. Some common factors that cause delays include distance to school, wake-up, departure hours, travel conditions, and vehicles used. In this study, the authors used the Classification algorithm with the C4.5 and Forward selection methods. The sample used was questionnaire data for class VIII (eight) State Junior High School students 271, totaling 270 students. Using training data, certain attributes are determined to form a classifier model. The results of this study are the results of the accuracy of the C4.5 method of 60.74%, with the results of the tree showing congestion is a factor of school delay and the results of the accuracy of 65.93% for Forward selection and the three best attributes.
Application of Fuzzy Tsukamoto Method to Rainfall Prediction in Sleman Regency Rizky Diar Panuntun; Arief Hermawan
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.76

Abstract

The context of this research is that erratic rainfall can disrupt community activities, especially for traders who want to make sales. In addition, information about rainfall is also needed by farmers in determining planting patterns in order to get maximum yields. The purpose of this research is to be able to help farmers predict rainfall to get maximum crop yields. One method to be able to predict rainfall is Fuzzy Logic. This research will use the Tsukamoto Fuzzy method. In the research conducted this time, the author conducted monthly rainfall forecasting in Sleman Regency. Rainfall data in Sleman Regency from 2015 to 2022 will be used in this research. This research succeeded in getting a MAPE value of 49.31%. The result of this research is the highest monthly rainfall prediction in November, with a rainfall of 713.78 mm. At the same time, the lowest occurred in August, which amounted to 36.47 mm. This research only gets a MAPE value of 49.31%. So it can be concluded that the Tsukamoto fuzzy method cannot predict rainfall well.
UTILIZATION OF ARDUINO-BASED BLUETOOTH CONNECTION FOR ELECTRONIC EQUIPMENT CONTROL WITH VOICE COMMANDS Hafdiarsya Saiyar
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.79

Abstract

Electronic equipment is a daily necessity in human life, but not infrequently we use electronic equipment excessively or ineffectively and the main problem is the factor of forgetting and being lazy to turn off electronic equipment. This makes wasteful use of electricity so that the costs charged are greater and there is the greatest risk of contact currents causing fire if we neglect to use lighting. Therefore, the author tries to make a control device for electronic equipment with voice commands connected to Bluetooth on a smartphone so that users can give commands to activate or deactivate electronic equipment with voice commands. The research method used is direct observation of the selected object, namely the author's house, and conducting literature studies related to the Arduino microcontroller. The Arduino microcontroller acts as the main controller connected to the relay module and the relay module connected to the power plug. In addition, Arduino is also connected to Bluetooth as a place to process incoming commands. The purpose of this research is to produce a tool that can make it easier to turn on or turn off electronic equipment with voice commands via an Android smartphone by utilizing an Arduino-based Bluetooth connection.
ASSESSMENT EFFECTIVENESS ANALYSIS SYSTEM USING G-FORM WITH TAM METHOD AT SD GALATIA3 JAKARTA BARAT Asrul Sani; Agus Budiyantara; Rizaldy Khair; Siti Aisyah
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.80

Abstract

Students feel the impact of the spread of Covid-19, such as changes in the provision of services in educational institutions, such as formal education at all levels, non-formal education, to academics. The government began to implement an online learning system (online). The problem during this online learning period is that many people are still not ready to face technology, both teachers and students. It happened in the early days of the pandemic. It results in challenges for the standard learning process, including challenges for teaching and giving assessments. It is because the teaching staff (teachers) always have daily assessment data that is usually carried out daily during everyday learning. However, during this PJJ period, teachers became confused about giving daily assessments to their students. The research aims to analyze and evaluate the online learning system using a platform that is easy to operate by teachers and can be accessed anywhere, namely Google Forms. In the Google Form application, there is an automatic calculation system in the form of student feedback where teachers do not bother to manually calculate the results of student learning evaluations. The analysis method used is the Technology Acceptance Model (TAM), which can determine users' attitudes towards the technology used, so that teachers can easily find out whether the tasks given to students are done by the students themselves, not with the help of parents.
UNIVERSITY SERVICE WEBSITE QUALITY MEASUREMENT WITH WEBQUAL 4,0 (CASE STUDY: FACULTY OF BUSINESS AND ECONOMICS ISLAMIC UNIVERSITY OF INDONESIA) Nur Hamid Sutanto; Kusrini Kusrini; Asro Nasiri
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.82

Abstract

The implementation of the website as a service medium has become very popular in the developments of universities, especially during the COVID-19 pandemic, which implements health protocols. With the existence of a website-based service information system, it is possible to continue running business processes in service to users without having to come and avoid direct or face-to-face interactions. FBE UII implements a Website Service Information System to serve students online, which replaces the manual system that is served directly and face-to-face. Firstly, it is implemented until now, there has never been a measurement of the quality of service that comes from its users. The measurement used the WebQual 4.0 method which measures the user's assessment of 3 areas, namely usability, information quality, service interaction quality which affects user satisfaction with the parameter of the users using the service website. This research was conducted at the FBE UII. Research data collection used a questionnaire. The population was FBE UII students who had used the service website. The results of this study were the conclusions of successful website implementation to replace the previously used system, the quality of website-based services on information systems was good, the perception of user ratings was easy to interact with, and recommendations for strategic steps, namely migrating other services by utilizing integrated service websites.
EMPLOYEE TURNOVER CLASSIFICATION USING PSO-BASED NAÏVE BAYES AND NAÏVE BAYES ALGORITHM IN PT. MASTERSYSTEM INFOTAMA Palupi, Endang Sri
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.83

Abstract

Turnover occurs because many employees leave and new employees enter, so the turnover in and out of employees is quite high, therefore turnover can be controlled with a strategy to increase employee engagement. PT. Mastersystem Infotama is a System Integrator company or better known as a fairly large IT company with a total of approximately 600 employees. Turnover is high enough to make some divisions lack human resources, and the human capital management division is quite difficult to recruit employees to find candidates with various criteria that must be available in a short time. Competition in the IT world is quite tight both within companies and employees with good experience and abilities. Especially the sales department that holds a database of potential customers, and the engineer section that already has a certificate of expertise that is widely used in the IT business world. Therefore, it is necessary to classify what factors make employee turnover high by using the Naïve Bayes and Naïve Bayes algorithms based on Particle Swarm Optimization, so that they can be used as material for internal evaluation to increase employee engagement. The results of this study, classification using the Naïve Bayes algorithm, has an accuracy of 79.17%, while the classification using the Naïve Bayes algorithm based on Particle Swarm Optimization is 94.17%.
IMPLEMENTATION OF APRIORI ALGORITHM WITH CUSTOMER ORDER PATTERN ANALYSIS FOR DETERMINATION OF RAW MATERIAL INVENTORY Arfhan Prasetyo; Heru Purwanto; Ishak Kholil
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.85

Abstract

Ordering products from home-based trading businesses have not utilized data mining algorithms that can help analyze transaction data to optimize product order transactions and also manage inventory on raw materials from products by reducing a lot of leftover raw materials and products that are not purchased by customers. To avoid the occurrence of a lot of raw material leftovers from products that are not in demand and to find out which types of products are in demand by customers, then the apriori algorithm is needed. The purpose of this research is that the owner can carry out good and efficient management of the availability of raw materials from the product so that the raw materials can be processed into products, which must be adjusted to the number of products ordered by customers so that there is no accumulation of raw materials from fewer transactions. The results obtained from this research are if a customer orders product H, then he will order product L with a support value of 42% and 83% confidence, if a customer orders product L then he will order product G with a support value of 67% and a confidence of 90% -100%, and if a customer orders product H, he will order product G with a support value of 42% and 100% confidence. From the rules of this association, it can be concluded that this business owner can determine the management of raw materials by prioritizing the materials used to make products from L, H, and G so that the purchase and use of raw materials for these products are more manageable and efficient.

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