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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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ANALYSIS AND DESIGN OF MOBILE WEB-BASED MENU E-ORDER SYSTEMS USING THE PIECES METHOD (CASE STUDY: CAFÉ 50/50 COFFEE) Nabilah Ananda Pratiwi; Agung Triayudi; Endah Tri Handayani
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Café as a place to relax or chatter where visitors can order the menu available. In general, a café often has difficulty in serving customers, especially for menu ordering facilities. This is also experienced by café 50/50 Coffee which still makes menu reservations manually. Based on these problems, a system of e-order menus of web-based mobile applications is designed. The study aims to produce a mobile web ordering system that is then analyzed with the PIECES indicator to determine the level of user satisfaction. Design of this system using the waterfall model System Development Life Cycle (SDLC) development method and then analyzed the level of user satisfaction with the PIECES method. System testing uses usability testing with the USE Questionnaire method. System implementations are created with the help of the CodeIgniter framework and use the PHP programming language. The results of the study in the form of a menu e-order system at the 50/50 Coffee café with the conclusion of the analysis that the users of the e-order system were “SATISFIED”.

CLASSIFICATION OF VEHICLE TYPES USING BACKPROPAGATION NEURAL NETWORKS WITH METRIC AND ECENTRICITY PARAMETERS Hendra Mayatopani; Rohmat Indra Borman; Wahyu Tisno Atmojo; Arisantoso Arisantoso
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

One of the efforts to break down traffic jams is to establish special lanes that can be passed by two, four or more wheeled vehicles. By being able to recognize the type of vehicle can reduce congestion. Citran based vehicle classification helps in providing information about the vehicle type. This study aims to classify the type of vehicle using a backpropagation neural network algorithm. The vehicle image can be recognized based on its shape, then the backpropagation neural network algorithm will be supported by metric and eccentricity parameters to perform feature extraction. Then from the results of feature extraction with metric parameters and eccentricity, the object will be classified using a backpropagation neural network algorithm. The test results show an accuracy of 87.5%. This shows the algorithm can perform classification well.

IMPLEMENTATION OF CERTAINTY FACTOR IN AN EXPERT SYSTEM FOR DIAGNOSING ORAL CANCER Nurhasan Nugroho; Nurdiana Handayani; Rachmat Destriana; Tia Ernawati
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Oral cancer or oral cavity cancer is cancer that attacks the epithelial tissue of the oral mucosa. Cancer is a disease with a high mortality rate. Therefore, it is very important to be able to provide knowledge assistance to people who are still quite low in knowledge about cancer, especially oral cancer. One way to help diagnose disease is to use an expert system. In this study, an expert system application was developed to diagnose oral cancer based on symptoms and produce a diagnosis and treatment solution. The expert system developed using the certainty factor algorithm (CF). Where is able to overcome uncertainty by providing a value level of trust from experts and users. From the results of the accuracy test, it shows a value of 87%, so the system can function properly.

DESIGN AND DEVELOPMENT OF ACCOUNTING INFORMATION SYSTEM FOR CASH SALES OF MILD STEEL Ari Puspita; Yuyun Yuningsih; Muhammad Fahmi; Rahmat Tri Yunandar
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Technological developments are now experiencing very rapid development, so many entrepreneurs are competing to produce new companies. At this time the light steel business is growing rapidly. Researchers try to make research on the cash sales system of mild steel sales, most companies do not yet have a computerized recording system, so that the invoice input process is hampered, as well as sales notes that are still written manually, and sometimes errors still occur in reading the names and quantities of goods. ordered, so the report generation will take a long time. As a form of solving the problems encountered by researchers, a computerized financial recording system is better than a manual system.Sales System, Cash Sales System, Information System

APPLICATION OF AUGMENTED REALITY TECHNOLOGY IN THE ANIMATION OF THE KANCIL CHILDREN'S STORYBOOK Suhendra Suhendra; Siti Aisyah; Fathan Mubina Dewadi
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

There are relatively many Indonesian fairy tales that are spread in the community, have characters with good and evil temperaments. Usually take folk tales about teaching goodness, behaving smartly, and being able to distinguish between good and bad. Also teaches children not to be arrogant, insulting other people. The learning process is usually in the delivery of material using only pictures, dolls, or videos that are commonly seen by children. Conventional media used for learning reduce children's enthusiasm. On this occasion, to answer the problem of media that is less attractive to children by using Augmented Reality (AR), because it can help visualize abstract concepts so that it can be used for understanding the image object and the structure of an object model. results of making applications using Augmented Reality, assessed from the aspects of cognitive, affective, psychomotor, technological, and the benefits of getting good interpretation results.

Integration of Adasyn Method with Decision Tree Algorithm in Handling Imbalance Class for Loan Status Prediction Ami Rahmawati; Yulianti, Ita; Mardiana, Tati; Pribadi, Denny
Jurnal Riset Informatika Vol. 6 No. 3 (2024): June 2024
Publisher : Kresnamedia Publisher

Determining the provision of credit is generally carried out based on measuring credibility using credit analysis principles (5C principles). However, this method requires quite a long processing time and is very susceptible to subjective judgments which might influence the final results. This research uses data mining techniques by developing modeling on loan status prediction datasets. The stages in this research include data preprocessing, modeling, and evaluation using accuracy metrics and ROC graphs. In this analysis, it is known that there is a class imbalance in the processed dataset, so an oversampling technique must be carried out. This research uses the ADASYN (Adaptive Synthetic) Oversampling technique to ensure the class distribution is more balanced. Then, the ADASYN technique is integrated with the Decision Tree Algorithm to build a prediction model. The research results show that the two methods can increase prediction accuracy by 12.22%, from 73,91% to 85.22%. This improvement was obtained by comparing the accuracy results before and after using the ADASYN Oversampling technique. This finding is important because it proves that implementing such integration modeling can significantly improve the performance of classification models and provide strong potential for practical application in helping more effective loan status predictions.

VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM Frieyadie Frieyadie; Anggie Andriansyah; Tyas Setiyorini
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Health is very important for the welfare and development of the Indonesian nation because as a capital for the implementation of national development, it is essentially the development of all Indonesian people and the development of all Indonesian people. Due to the outbreak of the Covid-19 virus, many health facilities must be provided for patients. Of course, the government must pay attention to the health facilities that can be used in every district/city in West Java in the future. Therefore, to determine the level of availability of sanitation facilities in each district/city in West Java, we need a technology that can classify data correctly. One method of data processing in data mining is clustering. The application of clustering to this problem can use the K-Means algorithm method to group the most frequently used data. The purpose of this study is to classify sanitation data on the highest sanitation facilities, medium sanitation facilities, and low sanitation facilities, so that areas/cities that are included in the low cluster will receive more attention from the government to improve/provide sanitation facilities.

Comparison of Decision Tree, Naive Bayes and Random Forest Algorithm to get the Best Performance of Algorithm for Customer Credit Classification Suryani, Indah
Jurnal Riset Informatika Vol. 6 No. 3 (2024): June 2024
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.138 KB)

Credit is a potential income and the most significant business operation risk for a bank. Bad credit has become an ingrained problem in the banking world. Therefore, this research aims to classify customer data profiles who have the opportunity to be able to apply for a loan or not to reduce the risk of bad credit in the future by classifying using three commonly used data mining algorithms, namely the Decision Tree algorithm, Naïve Bayes and Random forest. The research was conducted using an experimental, descriptive method by testing the accuracy of the three methods to get the best performance. Based on the experiments' results, the accuracy performance with the confusion matrix was 73.20% for the Decision Tree algorithm, then the accuracy for the Naive Bayes algorithm was 74.4% and Random Forest was 77.4%. Meanwhile, performance evaluation is based on the Receiver Operating Characteristics (ROC) curve by looking at the resulting Area Under Curve (AUC) value of 0.717 for the Decision Tree algorithm, while Naive Bayes produces an AUC value of 0.741 and the largest is Random Forest at 0.796. So it can be concluded that the best performance of the classification carried out is the one that uses the Random Forest algorithm. Then, from the validation results using the T-Test of the three methods being compared, Random Forest produces a significant difference in the level of accuracy compared to the accuracy produced by the Decision Tree, namely with an alpha value of 0.031.

IMPLEMENTATION ANALYTICAL HIERARCHY PROCESS AND WEIGHTED PRODUCT METHOD FOR LOVEBIRD SELECTION IDENTIFICATION APPLICATIONS Yolanda Nur Oktavia; Nur hayati; Iskandar Fitri
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Among the many types of birds in Indonesia, lovebirds are pets that attract the most attention and become a favorite among the public. This is evidenced by the many communities of lovebird lovers throughout Indonesia. The problem that exists for ordinary people who do not understand the animal world and have little knowledge about the quality of the lovebirds, it is not uncommon for the problem to be in doing business for sellers it is difficult to make decisions in overcoming the problem of selecting the best birds. Based on this problem, the author compares the combination of the analytical hierarchy process and weighted product methods with the analytical hierarchy process and TOPSIS from this comparison, the highest score is 392.63 on the analytical hierarchy process and weighted product for the best quality web-based lovebird selection recommendation application design application. From the results of application testing and manual calculations with 64 sample data, it was concluded that 4 users or about 6% were included in the low accuracy category in the best lovebird recommendation results, 12 users or 19% of the total tests were stated at a moderate level of accuracy in the lovebird recommendation results. The best and 48 users or 75% of the total tests were stated at the high accuracy category level in the best lovebird recommendation results with the highest accuracy value of 80.2% on the Albino lovebird type.

Implementation of the FP-Growth Algorithm on Spare Parts Supply Requests Amsury, Fachri; Nanang Ruhyana; Riyadi, Andri Agung; Bayhaqy, Achmad
Jurnal Riset Informatika Vol. 6 No. 3 (2024): June 2024
Publisher : Kresnamedia Publisher

Manufacturing companies rely on machines for operational activities to produce finished goods. Common factors constraining the demand and supply of spare parts are the high number of spare parts managed and irregular patterns of demand for spare parts. These varying quantities also require investment in spare parts inventory and longer response times than predicted. The research aims to apply the FP-Growth algorithm approach to find association rules and produce patterns of demand and supply of spare parts in lightweight brick manufacturing companies based on transaction data on demand and supply of spare parts from January – March 2023. The approach used is associated with the applied algorithm. In this research, the primary process of the FP-Growth algorithm is to create a combination of each item until no more combinations are formed using minimum support and minimum confidence parameters. Based on the results of making association rules using spare parts demand data from the machine maintenance department, it is stated that the regulations formed from processing the RapidMiner application with a confidence value of 100% recommend FD Regular Bolt spare parts, then the next rating with a confidence value of 94% is Steel Nuts, seven rules recommend Nuts. Steel. Therefore, it is recommended that FD Regular Bolts and Steel Nuts carry out safety stock to maintain stock availability and place them on shelves included in the fast-moving inventory category.

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Contact Name
Tati Mardiana

Contact Email
jurnal.jri@kresnamediapublisher.com

Phone
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Journal Mail Official
jurnal.jri@kresnamediapublisher.com

Editorial Address
-

Location
Kota banjar,

Jawa barat

INDONESIA