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INDONESIA
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 9 Documents
 1 
Search results for , issue "Vol. 2 No. 3 (2020): June 2020 Edition" : 9 Documents clear
ASSESSMENT OF STUDENT'S INTERESTS AND TALENTS USING THE WEB-BASED CERTAINTY FACTOR METHOD Satryanto Andi Seputro; Fajar Masya
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.669 KB) | DOI: 10.34288/jri.v2i3.109

Abstract

Abstract To improves a child's intelligence, it can be started from knowing the advantages possessed by children in the aspect of multiple intelligences by exploring the interests and talents of children as early as possible to develop optimally. At TK Widya Bhakti it is difficult to know the interests and talents of students because of the unavailability of assessment equipment. Therefore a study was conducted using a web-based application called AMIBA that can be used to determine the interests and talents of these students. The method used in this study is the Certainty Factor method that can measure the level of certainty. The results showed that this application can assess the interests and talents possessed by each student.
APPLICATION PERFORMANCE ASSESSMENT WORK USING SIMPLE ADDITIVE WEIGHTING (SAW) METHOD Tias Ambarwati; Fajar Masya
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.15 KB) | DOI: 10.34288/jri.v2i3.111

Abstract

Handling Infrastructure and Public Facilities (PPSU) are officers formed in 2015 by Basuki Tjahaja Purnama, the Governor of DKI Jakarta at the Kelurahan level. The assessment carried out by Munjul Kelurahan is currently still subjectively subject to a section by the Head of the Economy and Development Section and there are no clear and detailed parameters in determining workers' assessments. So that it can result in non-transparent PPSU performance evaluation The application of decision support systems in the assessment of PPSU work performance will provide a structured assessment. One method that can be used in decision support systems is Simple Additive Weighting (SAW). The concept of this method is to look for a performance rating (priority scale) on each alternative in all attributes. The calculation can determine the best PPSU accurately to make PPSU recruitment decisions every year.
WEB-BASED EVENT SEMINAR REGISTRATION INFORMATION SYSTEM APPLICATION Rizky Febryan; Rogape Iansen Euclerr; Yulia Wardaningsih; Fajar Masya
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.001 KB) | DOI: 10.34288/jri.v2i3.112

Abstract

Information on the list of seminar events and seminar registration which is still done manually results in limited information access being given to the seminar participants, besides the data processing process carried out by the committee becomes less effective and efficient. To solve these problems, an online computerized information system is needed that can provide information related to seminar participant registration, data management, and seminar events. With the implementation of this system, it is expected to facilitate access to information about the seminar event schedule and reduce the risk of recording errors in seminar participant registration. This system is also expected to further accelerate the process of making reports which in turn can help the performance of the seminar committee. The research method used is a survey method involving certain people, especially students. Whereas the system development method (SDLC) is carried out using the waterfall method.
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 TECHNOLOGY AUGMENTED REALITY IN BROCHURES SMK GHAMA CARAKA DEPOK BASED ANDROID Indarti Indarti; Dewi Laraswati
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.v2i3.108

Abstract

The brochure is one of the important instruments for promotion to provide initial information for prospective students, but the currently used brochure is still fairly classic. Still using brochure leaflets on paper media and the information conveyed depends on the size of the printed brochure. If the school committee wants to provide more information by adding pictures with product details, the larger the brochure size that needs to be printed. The research used augmented reality to make interactive brochures based on Android. The steps involved are analyzing the software and hardware requirements to be used. The research method uses the case study method with a qualitative approach. As for the application development model using the waterfall model, which is a method in SDLC, the sequence of steps used in this research is system requirement analysis, design, program code making, testing, and support.
MEASURING SATISFACTION USER WEBSITE WWW.QOO10.CO.ID USING DELONE AND MCLEAN MODELS Yuyun Yuningsih; Ari Puspita; Dahlia Dahlia
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.v2i3.110

Abstract

The research to measure customer satisfaction with the use of a product or service sold on online shopping sites that can meet their needs as expected. The research method used in this study is a survey method, the authors distribute questionnaires to men or women aged 17-40 years who have already or frequently shop online through the website www.qoo10.co.id. This research uses Delone and McLean models and is assisted with AMOS (Analysis of Moment Structure) software. Delone and McLean models can facilitate researchers in determining the variables that affect measuring website user satisfaction. the results of this study are in the form of a chart that concludes that the quality of the information system influences user satisfaction. The quality of the system affects the user, user satisfaction affects the user, and usage influences the benefits of the web www.Qoo10.co.id with the value of Chi-Square 7.015 and a Probability value of 0.83.
SENTIMENT ANALYSIS OF COSMETIC REVIEW USING NAIVE BAYES AND SUPPORT VECTOR MACHINE METHOD BASED ON PARTICLE SWARM OPTIMIZATION Zulia Imami Alfianti; Deni Gunawan; Ahmad Fikri Amin
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.v2i3.113

Abstract

Sentiment analysis is an area of ​​approach that solves problems by using reviews from various relevant scientific perspectives. Reading a review before buying a product is very important to know the advantages and disadvantages of the products we will use, besides reading a cosmetic review can find out the quality of the cosmetic brand is feasible or not be used. Before consumers decide to buy cosmetics, consumers should know in detail the products to be purchased, this can be learned from the testimonials or the results of reviews from consumers who have bought and used the previous product. The number of reviews is certainly very much making consumers reluctant to read reviews. Eventually, the reviews become useless. For this reason, the authors classify based on positive and negative classes, so consumers can find product comparisons quickly and precisely. The implementation of Particle Swarm Optimization (PSO) optimization can improve the accuracy of the Support Vector Machine (SVM) and Naïve Bayes (NB) algorithm can improve accuracy and provide solutions to the review classification problem to be more accurate and optimal. Comparison of accuracy resulting from testing this data is an SVM algorithm of 89.20% and AUC of 0.973, then compared to SVM based on PSO with an accuracy of 94.60% and AUC of 0.985. The results of testing the data for the NB algorithm are 88.50% accuracy and AUC is 0.536, then the accuracy is compared with the PSO based NB for 0.692. In these calculations prove that the application of PSO optimization can improve accuracy and provide more accurate and optimal solutions.

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