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Jurnal Riset Informatika

jri
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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 367 Documents

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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

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

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

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.

Sentiment Analysis of Digital Wallet Service Users Using Naïve Bayes Classifier and Particle Swarm Optimization Alvie Delia Cahyani; Tati Mardiana; Laela Kurniawati
Jurnal Riset Informatika Vol. 2 No. 4 (2020): Period September 2020
Publisher : Kresnamedia Publisher

Digital wallet services adequately provide many benefits to their users. However, not all users of digital wallet services have a favourable opinion of the service. Therefore, online transportation service companies need to carry out an analysis to determine general sentiment towards their products. The Naïve Bayes Classifier method represents a simple, fast method with excellent accuracy and performs comparatively well for classifying data. However, the Naïve Bayes Classifier method assumes that the attributes are independent, so it can cause the accuracy to be less than optimal. This study aims to improve the accuracy of the Naive Bayes classification for classifying public opinion on digital wallet services using Particle Swarm Optimization. This study manages data from Twitter as much as 490 tweet data. The test results with the confusion matrix and ROC curves show an increase in the accuracy of the Naïve Bayes Classifier method for the Dana digital wallet from 60.00% to 91.67% and the iSaku digital wallet from 53.23% to 85.00%. The T-test and ANOVA test results show that the test results of both classification methods provide significant differences in the accuracy value.

Business Process Engineering of Opening a Simpedes Saving Account Using Value-Added and Flow Analysis Methods Vinny Putri Rezeki; Fitria Fitria
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

The level of competition and demands for higher business quality encourage the company to develop in all sectors to achieve company goals, including the banking sector, which has main business processes, one of which is serving customers in the account opening process. Therefore, this study conducted a business process analysis to open a Simpedes savings account and then build a more optimal business process improvement engineering. Business process engineering by conducting business process analysis using the BPMN standard, value-added analysis, flow analysis, and simulation using the Bizagi Modeler software. Based on the simulation at Level 2-Time Analysis, the existing business process takes 52 minutes to complete 22 activities. Meanwhile, business process improvement only takes 19 minutes for 16 account opening activities. According to the accumulated calculations, the simulation results on the Level 3-Resource Analysis business process improvement with the implementation of writing pad procurement and the raw material utilization will increase by 13,23%. The costs incurred at the beginning will be significant but have long-term benefits so that the results of business process engineering show better improvements in terms of time and cost that companies can use as business process optimization recommendations.

SMART DOOR LOCK SYSTEM DEVELOPMENT PROTOTYPE USING RFID TECHNOLOGY ID-12 Siti Aisyah; Yusmar Ali; Komda Saharja; Asrul Sani
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

This smart door lock system is intended to make it easier to control security in specific homes or rooms, such as government offices or factories, to prevent unauthorized entry into a small space. This automatic door lock system includes an ID-12 RFID reader, tag/transponder, Arduino UNO R3, 5v buzzer, drop bolt lock, relay module, and LCD. This ID-12 RFID reader functions as both a receiver and a transmitter. RFID improves system performance by enhancing information acquisition and remote digital archiving. This research aims to develop RFID-based technology by combining it with current information technology development. Contribute to the advancement of scientifically based digital technology.

KLASIFIKASI PENERIMAAN MOBIL BEKAS BERDASARKAN METODE NEURAL NETWORK Akmal Dirgantara; Syarifudin Herdyansyah; Rasenda Rasenda
Jurnal Riset Informatika Vol 2 No 1 (2019): Periode Desember 2019
Publisher : Kresnamedia Publisher

Considering the need for cars in big cities is increasing and the price of 4-wheeled vehicles is relatively expensive, used cars are a good alternative solution to offer. But in business we cannot just buy stock for a car showroom, for example, especially with a limited budget, car showroom entrepreneurs must do a thorough analysis to save the budget to open a showroom and prevent losses. This article helps open the car showroom to determine which cars are suitable as stock to be displayed in the showroom with the parameters of buying, maintenance, doors, boot lugs, and safety. That predicted using 1728 artificial neural network methods data obtained from the UCI repository with a fairly high degree of accuracy that is equal to 98.26%. This is quite efficient compared to the showroom owner who must conduct a survey in advance and ask 1 per 1 person to survey the interest in receiving a car.

Inserting Message Secret on File Data Bank using Steganography Engineering with EoF (End of File) Method Michael Sitorus; Deki Satria
Jurnal Riset Informatika Vol. 2 No. 4 (2020): Period September 2020
Publisher : Kresnamedia Publisher

Exchanging information does not realize that is important information. Circulates often important information insignificant but such as account bank customer information. The threat of security to information such as interruption, interception, modification, and fabrication. Thefts of information data by irresponsible parties. This research aims to secure information data in the form file digital image to be inserted with a secret message on building application for a secret message security system in the Bank with applying steganography using the End Of File (EOF) method. Steganography application capable of inserting secret messages in digital image data files. The results of the research can keep the existence of the message hidden. When other people receive image files, they can only see the images with the naked eye. So all messages are invisible and will not be read for hackers or other people before knowing the security side and open of password or reading the secret message.

Decision Support System For Selection of Exemplary Employees at PT. Sinar Asia Perkasa Syahriani Syahriani; Nurmah Nurmah; Luthfi Indriyani
Jurnal Riset Informatika Vol. 2 No. 4 (2020): Period September 2020
Publisher : Kresnamedia Publisher

Sinar Asia Perkasa is a manufacturing company, where this company is always required to innovate and improve the quality and quality of its products. Because of this, the company PT. Sinar Asia Perkasa must improve itself to get employees who have high quality and work productivity. Employees are one of the most important parts of a company that must be managed properly. To get employees of the highest quality, a process is needed that can automatically provide recommendations in selecting exemplary employees at PT. Sinar Asia Perkasa, namely by establishing a Decision Support System. This Decision Support System is expected to assist in objectively selecting employees. Making this Decision Support System using the Profile Matching method with several criteria, namely aspects of the discipline, aspects of integrity, aspects of cooperation, and aspects of work performance. Then for the final stage of this method is ranking.

PUBLIC’S SENTIMENT ANALYSIS ON SHOPEE-FOOD SERVICE USING LEXICON-BASED AND SUPPORT VECTOR MACHINE Shafira Shalehanny; Agung Triayudi; Endah Tri Esti Handayani
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Technology field following how era keep evolving. Social media already on everyone’s daily life and being a place for writing their opinion, either review or response for product and service that already being used. Twitter are one of popular social media on Indonesia, according to Statista data it reach 17.55 million users. For online business sector, knowing sentiment score are really important to stepping up their business. The use of machine learning, NLP (Natural Processing Language), and text mining for knowing the real meaning of opinion words given by customer called sentiment analysis. Two methods are using for data testing, the first is Lexicon Based and the second is Support Vector Machine (SVM). Data source that used for sentiment analyst are from keyword ‘ShopeeFood’ and ‘syopifud’. The result of analysis giving accuracy score 87%, precision score 81%, recall score 75%, and f1-score 78%.

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Tati Mardiana

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jurnal.jri@kresnamediapublisher.com

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Journal Mail Official
jurnal.jri@kresnamediapublisher.com

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Location
Kota banjar,

Jawa barat

INDONESIA