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Jurnal Riset Informatika

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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 417 Documents

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COMBINING BOOTSTRAPPING AND GENETIC ALGORITHM BASED ON FEATURE SELECTION FOR FRANCHISE LOCATION PROSPECT PREDICTION Tati Mardiana
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Location selection is crucial in the franchise fast-food industry. A thorough location selection model paired with a proper analytical technique can considerably improve the performance of placement decisions, attract more customers, and boost market share and profitability. Franchise location data sets have an imbalanced class nature. The franchise location prospect prediction performance decreased as a result of the dataset's noisy characteristics. We developed a hybrid approach to improve franchise location prospect prediction performance in this study. It combines Bootstrapping to address class imbalance problems and a Genetic Algorithm (GA) to select relevant features in the franchise location prospect prediction. We experimented with five different classification methods (Naive Bayes, C4.5, Random Forest, ID3, Gradient Boosted Trees). The results show that almost all classifiers that use Bootstrapping and GA outperform the original technique. We employ the Confusion Matrix and Root Mean Squared Error (RMSE) to examine the proposed method's performance. The test results demonstrate that the proposed method considerably enhances the franchise location prospect's classification performance.

PERANCANGAN DAN PEMBUATAN APLIKASI E-LEARNING MENGGUNAKAN MODEL WATERFALL PADA SEKOLAH MENENGAH ATAS Ari Puspita; Muhammad Fahmi; Yuyun Yuningsih
Jurnal Riset Informatika Vol 1 No 4 (2019): Periode September 2019
Publisher : Kresnamedia Publisher

Berbagai konsep dan teknik baru dalam pengajaran telah banyak dikembangkan untuk menggantikan metode tradisional yang hanya mengandalkan pada metode pengajaran satu arah di kelas. Salah satu metode pengajaran yang sedang berkembang di masa sekarang adalah e-learning. E-learning dapat membantu para pengajar dalam mendistribusikan bahan ajar mereka tanpa harus berada di kelas dengan menggunakan internet, hal ini dapat memaksimalkan waktu pembelajaran di kelas yang terbatas. Pengembangan sistem informasi dalam pembuatan perangkat lunak menggunakan model Waterfall dan dalam pembuatan perangkat lunak ini menggunakan PHP sebagai bahasa script yang digunakan untuk membuat halaman website dan MySQL sebagai database tempat penyimpanan data. Memudahkan para guru untuk dapat mendistribusikan materi pelajaran untuk siswa dapat dengan mudah mendapat materi pelajaran. Website e-learning ini dapat dijadikan media mengerjakan soal-soal ujian berupa pilihan ganda dan mengumpulkan tugas-tugas yang di berikan oleh guru.

A REQUIREMENT ENGINEERING IN REPORTING AND COUNSELING-BASED ASSISTANCE APPLICATION FOR VICTIMS OF VIOLENCE AGAINST WOMEN Dwi Hosanna Bangkalang; Nina Setiyawati; Radius Tanone; ‪Hanna P. Chernovita; Yuliana T. B. Tacoh
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Requirements engineering is the initial phase of the software development life cycle it is a critical aspect of application development since it has a significant impact on the results of the product being created. This article focuses on the engineering requirements of the web-based application development process for reporting and assisting victims of violence against women using the Loucopoulos and Kanakostas Iterative Requirements Engineering Process Model. The application was created to contribute to the solution of the problem of violence against women in Indonesia, where violence against women is an iceberg phenomenon because not all incidents are reported. Furthermore, victims of violence against women require support in receiving emotional support in the form of counseling, which can be done online via chat or video calls. The results of these requirements engineering are alternative solutions, application feature design, database design, system modeling using UML, and application architecture design. The validation of requirements engineering was carried out using a low fidelity prototype.

SENTIMENT ANALYSIS OF COVID-19 VACCINATION POSTS ON FACEBOOK IN INDONESIA WITH CROWDTANGLE Adita Rianto; Ahmad R. Pratama
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

COVID-19 was declared a pandemic by the World Health Organization (WHO) in early 2020. The Indonesian government has taken steps to stop COVID-19 from spreading, one of which is vaccination. However, not everyone thinks vaccination is a good idea. Like in other countries, Indonesian people responded in different ways to COVID-19 vaccination posts on social media, be it from government officials or news portals. Public responses can be used to help the government make a better vaccination strategy to end the pandemic in Indonesia. Using the lexicon method in determining the sentiment in COVID-19 vaccination posts on Facebook, this research found that unlike news portals that tended to post a more balanced content (36% positive, 20% negative, and 44% neutral out of 23,623 posts, min score = -19, max score = 24, mean = 0.25, SD = 1.43), government accounts posted much more positive content, both in quality (min score = -15, max score = 40, mean score = 4.16, SD = 6.76 ) and quantity (69% positive) than they did the neutral (15%) and the negative content (16%) out of 723 posts. Subsequent analysis with Two-Way ANOVA tests discovered that COVID-19 vaccination posts by the news portals elicited more varied reactions from the public than government accounts that tended to elicit mostly positive reactions. Also, both the content sentiment of COVID-19 vaccination posts in Indonesia and the account types making those posts, as well as their interaction terms do have an impact on how the public responds to them.

DEVELOPING BLENDED LEARNING APPLICATION UTILIZING ARTICULATE STORY LINE 3.0 INTREGRATED WITH ANDROID BASED SYSTEM Efrizal Siregar; Nurianti Sitorus; Juwariah Juwariah
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

The development of science and technology in the digital era of Four Point Zero has a great impact on the world of education. One of them is by utilizing e-learning applications in the learning process. However, the technology used in this learning is too dependent on the internet network. Therefore, the research aims to develop a media in the form of an Android-based e-learning application that can be used online and offline. This study uses a research and development design using the ADDIE model. To create and test these products, in this case an Android-based e-learning application. Procedure This research was carried out through 6 stages, namely needs analysis, application design stage, development, data analysis, evaluation, and development of a final product that is ready to be used. From the results of the material validation test and the feasibility of the developed application media, it is very feasible to use.

E-INFORMATION SYSTEM DESIGN OF STUDENT ADMISSION IN AMERICAN INDONESIAN EDUCATIONAL INSTITUTION CIJANTUNG BRANCH Anggi Oktaviani; Dahlia Sarkawi; Deny Novianti; Achmad Chaerul Amri
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Currently, companies, organizations and institutions are in dire need of the development of technology and information systems, especially information technology through the internet. The American Indonesian Education Institute, the Cijantung Branch, which until now has not yet been computerized. Currently, the registration process to become a student at the American Indonesian Education Institute Cijantung Branch is still manual, both from filling out forms provided by the American Indonesian Education Institute Cijantung Branch to becoming a student. Usually the data collection process is a bit hampered because the number of applicants is more than customer service and it is too difficult for customer service to read prospective student forms. This causes the service from the customer service of the American Indonesian Education Institute Cijantung Branch is not optimal. This study uses the waterfall model as a software development model. From the research conducted, it is expected to produce a new student acceptance control system that can assist customer service in collecting data on prospective students and managing prospective student forms. The design of the new student admission system is expected to be more effective and efficient. So it's good when registration can be completed in a short time. This system is also expected to minimize data collection errors made by customer service.

MOBILE MEDIA LITERATURE APPLICATION FOR IDENTIFICATION OF STUDENT'S READING INTEREST Usman Nurhasan; Erninda Ristiani; Samsul Islam Baddrisshofa
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

The School Literacy Movement (GLS) aims to foster youth character through a culture of literacy (reading and writing). However, in the presence of the Covid-19 outbreak, Indonesian education needs to use online media to keep learning going. Many types of platforms are used for online learning media, but all of these media do not support school literacy activities, so school literacy activities do not run as usual. Based on these problems, a solution was created, namely an application that makes it easy for literacy activities to take place online. Students can access this application to do online literacy via a laptop or smartphone. This application makes it easier for teachers to monitor the course of online literacy programs. The results of this study are indicated by functional testing on all features obtaining a 100% valid percentage. Tests on users get an average percentage of more than 80%. The test results prove that this application can be accepted by students, teachers and admins at State High School 1 Geger Madiun to make literacy activities more effective and efficient.

IDENTIFICATION OF WATER TURBIDITY WITH TURBIDITY SENSOR BASED ON ARDUINO Hafdiarsya Saiyar; Mohammad Noviansyah
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Water is an important need for all living things, especially humans. Humans need water with quality that meets the physical, microbiological, chemical, and radiological requirements contained in the mandatory and additional parameters. The selection of these parameters is very important to meet the requirements of good water, namely tasteless, odorless, and colorless. Meanwhile, there are three parameters used for water identification, namely pH parameters, turbidity levels, and temperature parameters. From these problems, the authors examine the detection of water quality, especially water turbidity. The author tries to make a tool that can detect the level of turbidity of water with a turbidity sensor as a detector of the level of turbidity in the water, Arduino Uno as a processor for the data results that have been detected, and a 16x2 LCD as a display of turbidity level measurement results in the form of turbidity values and descriptions of the water being tested. The measurement range that can be detected by this tool is from 0 – 3000 NTU. The research method used is direct observation of the selected object, namely the author's home environment, and conducting library research related to the Arduino microcontroller. The purpose of this study was to determine and detect the level of water quality in the community. As one of the tools or alternatives for the community to find out or detect the level of water quality early.

WEB-BASED EQUIPMENT INVENTORY INFORMATION SYSTEM IN THE SERVICE DIVISION OF PT ARISTA SUKSES MANDIRI JAKARTA Anggi Oktaviani; Muhammad Nogie; Deny Novianti
Jurnal Riset Informatika Vol. 3 No. 1 (2020): December 2020 Edition
Publisher : Kresnamedia Publisher

Work equipment inventory management at the service division of PT. Arista Sukses Mandiri Jakarta is still done manually using printed forms (for daily checks) and handwritten books (which record every piece of equipment that enters and/or leaves the warehouse), therefore personnel needs more time to carry out these activities. Equipment inventory management must be correct and precise between existing data and the reality in the field, but if it is carried out manually the risk of data error is higher than if it is carried out using a computerized system. Also, using a computerized system in an equipment inventory environment can make the process faster, thus achieving time efficiency. The web-based inventory system was developed by the author (as well as the developer) to solve or at least reduce the problem. The model used in the development of this web-based application system is a waterfall development model with whirlpools for beginners as suggested by Powel et al. This model consists of problem definition, needs analysis, prototype design, implementation, integration/testing, release/maintenance. The final product of research and development written in this paper is a web-based application for work equipment inventory that can make the process faster, precise, and efficient.

SENTIMENT ANALYSIS OF TWITTER DATA ON DISTANCE LEARNING USING NAÏVE BAYES ALGORITHM Putri Rana Khairina; Desti Fitriati
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Covid-19 is widespread, resulting in a global pandemic. Distance Learning System (DLS) is considered as a solution but, the reality of the implementation of DLS is not in accordance with the expectations of the community. Many twitter users wrote their opinions on DLS. The tendency of public sentiment can be used as a way to improve the existing education system in Indonesia and can be an input for the government in improving the DLS method that is being implemented. Thus, this study produced a system that can analyze tweet sentiment towards DLS. The tweet was obtained using the Twitter API. The method used is Naïve Bayes for the process of classification of positive, negative and neutral sentiments using 600 data. Then, data sharing is done 80% data training and 20% data testing that will be in the text preprocessing first. The accuracy of sentiment analysis of DLS using Naïve Bayes method using 3-fold Cross Validation produces an average of 93%.

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Contact Name
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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Kota banjar,

Jawa barat

INDONESIA