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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 17 Documents

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Search results for , issue "Vol. 4 No. 4 (2022): September 2022" : 17 Documents clear

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.

DESIGN OF E-COMMERCE DISTRO USING RAPID APPLICATION DEVELOPMENT (RAD) MODEL Apriade Voutama; Garno Garno; Agung Susilo Yuda Irawan; Elfina Novalia
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Information technology is developing so rapidly that it has become a significant need in all fields. One is in the Business of buying and selling clothes at the Celsius distribution. Sales are still carried out traditionally or using less good places for distribution because they rely only on customers who come to the store, so the innovation of online sales technology or e-business is needed. The creation is to build e-commerce as a medium for buying and selling online with a broader market coverage. E-commerce is a system designed to process goods and services' buying, selling, and marketing through an electronic system. They built this e-commerce using UML (Unified Modeling Language) and PHP-MySql programming language. Some UML diagrams are used, such as Usecases, Activity Diagrams, Sequence Diagrams, and Class Diagrams, and assisted with interface design before being translated into applications. Its e-commerce is built into two parts: the admin panel and the user panel on the system, where this e-commerce is based on a website. The admin panel is managed by the section owner as the manager of online sales management, while the board is the system user who makes transactions from the system. The tests involve random owners and users to get responses to the e-commerce so that they are implemented on an ongoing basis.

ALEXNET ARCHITECTURE AND FUZZY ANALYSIS ON TALENT JUDGE DECISION PREDICTION BASED ON FACIAL EXPRESSION Muhammad Zaki; Anggunmeka Luhur Prasasti; Marisa W. Paryasto
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

The expression on the human face is a means of non-verbal communication. In the talent search event, the facial expressions shown by the judges when watching the participants’ performances became one of the components to see whether the contestant who was performing could qualify for the next round or he would fail. Haar cascade is used to provide the location of the face in the frame and to classify the expressions on the face, a CNN model with modified AlexNet architecture is used which increases the accuracy by 5% from the original alexnet. A fuzzy Algorithm is used to predict the judge’s decision based on how many facial expressions appear during the participant’s appearance. The decision prediction system for talent search judges based on facial expressions using fuzzy is considered effective in predicting decisions, after being tested the system can predict decisions with an accuracy rate of 83%.

DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Royan Dwi Saputra; Rahmat Izwan Heroza; Dwi Rosa Indah; Allsela Meiriza; Pacu Putra; Ermatita Ermatita
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Abstract The Infant Mortality and Toddler Mortality rates are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the family health directorate of the health ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University. Find problems related to the absence of instruments in digital form, which are useful for conducting studies on infant and under-five mortality problems in health facilities, which were expected to assist in recording and reporting the review process run more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the use context, specifying the user requirements, designing the solutions, and evaluating against requirements. The results of the study were that the average usability score was 94, meaning that this application's prototype has been made according to the needs and desires of end-users. Also, the prototype of this application is feasible to implement.

ANALYSIS OF DYNAMIC TIME WARPING IN THE DEVELOPMENT OF GROSS REGIONAL DOMESTIC PRODUCT YOGYAKARTA Inggrid Septa Narendra; Muhammad Muhajir
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Poverty in Indonesia has become a common thing that is still difficult to handle due to the presence of the covid virus outbreak attacks are causing the inability to buy and sell transactions, export and import goods and services, then the level of inequality increases. The tool measures the inequality level in an area seen from the Gini Ratio value. The Gini Ratio notes that the DI Yogyakarta province had the highest index value in Indonesia of 0,437 in September 2020. So this study aims to minimize the inequality in the DI Yogyakarta province by using the clustering method and Dynamic Location Quotient (DLQ). The clustering method with a hierarchical algorithm using the Dynamic Time Warping (DTW) distance and the DLQ method to predict regional economic sectors. Based on the result of the clustering analysis, there were 2 clusters, and the DLQ analysis obtained as many as 11 essential and 6 NPN-base sectors. Cluster 1 has 10 GRDP sectors with two industries that will become non-base sectors in the future, while cluster 2 has 7 GRDP sectors with three sectors it will become base sectors in the future.

FORECASTING OYSTER MUSHROOM SALES USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD AT KUB RUMAH MUSHROOM BERSAMA Winda Wulandari; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

The amount of oyster mushroom production is often not by consumer orders due to a lack of attention to the mushroom stock in the Mushroom House KUB. The purpose of this study is to apply double exponential smoothing (DES) to predict future sales of oyster mushrooms so that consumer needs are met. This research method uses quantitative methods. The data source comes from data on sales of oyster mushrooms from June 2021-May to 2022. The data is analyzed using double exponential smoothing based on alpha and MAPE values. The results showed that an alpha of 0.6 with a MAPE value of 6.23% was the alpha with the smallest MAPE. This study concluded that the double exponential smoothing method could accurately predict future oyster mushroom sales.

DETERMINATION OF PRIORITIES OF ELEMENTARY SCHOOL REHABILITATION AT ASAHAN USING SIMPLE ADDICTIVE WEIGHT Dian Aprillia; William Ramdhan; Wan Mariatul Kifti
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

In the budgeting process for school building rehabilitation activities in Asahan Regency, there are still inaccuracies in selecting prioritized primary schools for rehabilitation. This study aimed to apply the Simple Additive Weighting (SAW) method to determine five primary schools that were prioritized for repair. This research method uses quantitative methods. The data source comes from the East Kisaran and West Kisaran Elementary Schools. The data were analyzed using the SAW method based on the criteria weight depending on the matrix value and normalization. The results showed the 5 largest criteria weights, namely UPTD SDN 010097 Selawan (0.940), UPTD SDN 014689 Lestari (0.884), UPTD SDN 010039 Sentang (0.880), SD Taman Kasih Karunia (0.847), and UPTD SDN 018453 Siumbut-Umbut (0.820). ). This study concluded that the double exponential smoothing method could make it easier to determine which primary school decisions are prioritized for rehabilitation.

SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone S; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.

APPLICATION LIDAR AND POINT CLOUDS FOR 3D MODELING OF MUSEUM OBJECT Ika Asti Astuti; Ahmad Subekti
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.v4i4.40

A museum is an institution intended for the general public that collects, cares for, presents, and preserves the community's cultural heritage for study, research, and pleasure or entertainment. The museum is undoubtedly one of the educational places for the community because it has many historical objects. It provides an opportunity to make the museum a vital place to be developed in a virtual form, such as Augmented Reality or Virtual Reality. However, one problem in developing virtual media is the 3D modeling of objects for interior design in museums. LiDAR (Light Detection And Ranging) is a near real-time 3D positioning technology. A point cloud collects data points in a 3D coordinate system, generally defined by x, y, and z coordinates. Both of these technologies can be used to create 3D object models quickly. The final result of this research is applying LiDAR & point cloud as a 3D modeling technique and assessing the accuracy of using these techniques for 3D modeling of the museum object.

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

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.

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Editorial Team

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Contact Name Tati Mardiana

Contact Email jurnal.jri@kresnamediapublisher.com

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Location Kota banjar, Jawa barat INDONESIA

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Contact Name
Tati Mardiana

Contact Email
jurnal.jri@kresnamediapublisher.com

Phone
-

Journal Mail Official
jurnal.jri@kresnamediapublisher.com

Editorial Address
-

Location
Kota banjar,

Jawa barat

INDONESIA