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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 13 Documents
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Search results for , issue "Vol. 3 No. 4 (2021): September 2021 Edition" : 13 Documents clear
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v3i4.96

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v3i4.101

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v3i4.103

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v3i4.104

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.861 KB) | DOI: 10.34288/jri.v3i4.105

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7.778 KB) | DOI: 10.34288/jri.v3i4.106

Abstract

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.
DECISION SUPPORT SYSTEM TO ELECT THE BEST USTADZ USING SIMPLE ADDITIVE WEIGHTING METHOD Muhammad Abdan Syakuro; Desti Fitriati
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.95

Abstract

Pesantren is a place for students to live and learn religious education. In Pesantren there are human resources that very helpful for learning in boarding school, namely ustadz. In the process of successful education, sometimes pesantren needs to make an assessment to improve the quality of education, one of it is conducting the best selection of ustadz adequate and exceeding the average. The number of ustadz that exist causes difficult decision making of the best ustadz elections quickly, accurately and has not been able to give maximum results and takes a very long time in calculation. In addition, the selection of the best ustadz in Pesantren Qur'an Al Hikmah Bogor is still not objective because the selection of the best ustadz is still appointed directly without using calculations. Based on the problems described above, a Decision Support System (DSS) application is needed using simple additive weighting method to help in making the best ustadz decision in pesantren. This system is a dynamic system where users can set the parameters of criteria and weights themselves. Besides, From the making of the Decision Support System produced accuracy of 90% of 30 samples according to which are 27 samples.
COMPARATION OF DECISION TREE MODEL AND SUPPORT VERCTOR MACHINE IN SENTIMENT ANALYSIS OF REVIEW DATASET SAMSUNG SSD 850 EVO AT NEW EGG SHOP Muhammad Fahmi Julianto; Yesni Malau; Wahyutama Fitri Hidayat; Wawan Nugroho; Fintri Indriyani
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.97

Abstract

The development of information technology is currently growing very rapidly, including the impact on the hardware used. This can be exemplified in the use of hard drives that are starting to switch to SSDs. The process of selecting an SSD product to be used cannot be separated from the sources of information found on the internet. Through the internet, every user can provide reviews, both positive and negative reviews. With the many reviews regarding the review of the Samsung 850 Evo SSD on the NewEgg Store, the author uses it to be processed into information, which will have new knowledge. Based on that, the author makes research, in the form of opinion classification by analyzing sentiment through a text mining approach. In this study, two classification models were used, namely Decision Tree and Support Vector Machine. The results of this study are in the form of a comparison of the 2 models used based on the accuracy and AUC values. Based on research, the Support Vector Machine model is better than the Decision Tree model. This conclusion can be proven by the accuracy value of the Support Vector Machine model resulting in a value of 0.87 or 87% while the accuracy value of the Decision Tree model produces a value of 0.82 or 82%. In addition, the AUC value of the Support Vector Machine model produces a value of 0.87 and the Decision Tree mode produces a value of 0.82 or it can be said that the AUC value of the Support Vector Machine model is better than the Decision Tree model.
COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK Difa Lazuardi Aditya; Devi Fitrianah
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.98

Abstract

The customer is a stakeholder for a business, to maintain and increase customer enthusiasm and develop it for the company's performance, it is necessary to do customer segmentation which aims to find out potential customers. This study uses purchase transaction data from Brand Limback customers in the period 2020. The use of RFM (Recency, Frecuency, Monetary) analysis helps in determining the attributes used for customer segmentation. To determine the optimal number of clusters from the RFM dataset, the Elbow method is applied. The datasets generated from RFM are grouped using the Fuzzy C-Means and K-Means algorithms, the two algorithms will compare the quality in the formation of clusters using the Silhoutte Coefficient and Davies-Bouldin Index methods. Customer segmentation from the RFM dataset that has been clustered produces 7 optimal clusters, namely Cluster 0 is a bronze customer. Cluster 1 is a silver customer. Cluster 2 is a gold customer. Cluster 3 is a platinum customer. Cluster 4 is a diamond customer. Cluster 5 is a super customer, and cluster 6 is a superstar customer. The cluster validation of k-means using the silhouette coefficient produces a value of 0.934 while the Davies bouldin index produces a value of 0.155 and the validation results of the fuzzy c-means algorithm using the silhouette coefficient produces a value of 0.921 while the Davies bouldin index produces a value of 0.145.
IMPLEMENTATION OF THE SIMPLE ADDITIVE WEIGHTING METHOD FOR EMPLOYEE PERFORMANCE ASSESSMENT Siti Aisyah
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.99

Abstract

In the process of evaluating employee performance, the company has established standard operating procedures. Of the many standards, it is difficult for management to give weight to each standard. Therefore, a decision-making system is needed to improve company performance and productivity. Human resources must be able to improve employee performance. Professional knowledge or ability. The current appraisal problem, including the employee performance appraisal process, is still using the traditional and not yet accurate method. The research was conducted using the simple additive weighting (SAW) method. The results of this study indicate that by using the SAW method, management is more likely to pay attention to employee performance evaluation, and is more organized and efficient in evaluating employee performance.

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