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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 11 Documents

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Search results for , issue "Vol. 4 No. 2 (2022): March 2022" : 11 Documents clear

SENTIMENT ANALYSIS OF REKSADANA ON BIBIT APPLICATIONS USING THE NAÏVE BAYES METHOD AND K-NEAREST NEIGHBOR (KNN) Alisa Fitriyani; Agung Triayudi
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

The lack of public interest in the capital market has made the top brass of capital market companies compete with each other to provide services to provide convenience for customers in the various services available and provide convenience in accessing financial information. The emergence of several startup companies that provide reksadana investment products for investors, namely PT Bibit Reksadana Grows Together, which created a reksadana application, namely Bibit Reksadana with more than one million users based on data downloaded on the play store by PT Bibit Grow Bersama which acts as a Reksadana Selling Agent (APERD) and sells 134 reksadana products. So to provide information to the public, it is necessary to have a sentiment analysis on how the opinions of users of the reksadana bibit application use the K-nearest neighbor (KNN) and Naïve Bayes methods, with the results of scraping youtube as much as 33,292 and scraping reviews as much as 30,708 reviews, then the text processing stage is carried out, and labeling using the text blob library, with an accuracy rate of 99%, 99%, 99% accuracy on youtube data classification and review data with the K-Nearest Neighbor method, 99%, and 99%, 98% Naïve Bayes, it can be concluded that neutral sentiment is more than positive sentiment. , and more positive sentiment than negative sentiment.

CLASSIFICATION OF BURNED PEATLAND USING PROBABILISTIC NEURAL NETWORK ALGORITHM BASED ON HIGH TEMPORAL DATA Neneng Rachmalia Feta
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Land fires in Indonesia occur on dry land as well as on peatlands. Fires on peatlands are more dangerous and more challenging to tackle than fires on non-peatlands, and the consequences of peatland fires that occur are very detrimental to communities. One of the solutions offered in assessing forest and peatland fires is remote sensing technology. Satellite images obtained from remote sensing technology are usually classified for further analysis. The main objective of this study is to develop a classification model using the Probabilistic Neural Network (PNN) to classify areas in peatlands before, during, and after burning on Landsat 7 ETM+ satellite imagery. Furthermore, the model is used to obtain the trajectory pattern of the burned area using the DBScan algorithm. The research area is Ogan Komering Ilir Regency; South Sumatra Province Landsat 7 ETM+ images were taken from January 2015 – December 2015.

IMPLEMENTATION OF ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT IN THE DONATION SERVICE INFORMATION SYSTEM Ali Ibrahim; Beriadi Agung Nur Rezqeb
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

LAZNAS LMI Regional Office of South Sumatra is an institution engaged in the field of religion and humanity. One of the services provided by the LMI Regional Office of South Sumatra is a donation service. However, the service is still not effective and efficient. Based on the results of the questionnaire on donation services at the LMI Regional Office of South Sumatra, the calculation results. obtained Net Promoter Score1 of -61.6% which indicates a negative value. This shows the need to improve donation services in order to create loyalty. The E-CRM concept aims to provide satisfaction and increase loyalty. Therefore we need a donation service information system that can make it easier for both LMI and donors. As well as a measurement that measures the loyalty of donors using the Net Promoter Score calculation method and the FAST system development method. From the measurement results of Net Promoter Score2, the calculation results are 77%, this shows that the loyalty of donors has increased towards the improvement of donation services at LMI Regional Office of South Sumatra.

AUTOIMMUNE DISEASE DETECTION WITH DEMPSTER SHAFER AT TANJUNGBALAI GENERAL HOSPITAL Sukria Novriana Sari; Rizky Fauziah; Tika Christy
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Autoimmune diseases are diseases that attack the human immune system. Autoimmunity is a disorder of the immune system due to the failure of the body's defenses to stabilize conditions so that the immune system attacks a healthy body which is considered a foreign object that must be destroyed. Helping the public in the early detection of autoimmune diseases by using an expert system that is expected to detect autoimmune diseases early in Tanjungbalai Hospital so that they can provide early information about autoimmune diseases and appropriate and informative subsequent actions to the community. In this study, an expert system was built using the web-based Dempster-Shafer method based on the value of expert trust in the symptoms felt by the patient. There were 7 types of autoimmune diseases studied: ITP, SLE, Type 1 DM, Graves Disease, RA (Rheumatoid Arthritis), Autoimmune Hepatitis, and Hashimoto's Thyroiditis. This study resulted in ITP with an accuracy rate of 98%, SLE with an accuracy rate of 96%, Diabetes Mellitus Type 1 with an accuracy rate of 96%, Graves Disease with an accuracy rate of 93%, RA (Rheumatoid Arthritis) with an accuracy rate of 99%, Autoimmune Hepatitis with a 94% accuracy, and Hashimoto's thyroiditis with 99% accuracy.

IMPLEMENTATION OF THE TREND MOMENT METHOD IN ESTIMATING BREAD SALES Wahyuni Siregar; Arridah Zikra Syah; Indra Ramadona Harahap
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Abstract The second strategy's pattern is a gauging technique for delivering an expected number of future bread supplies so there is no abundance or lack of stock in the upcoming month. Information on bread deals is utilized in this concentration consistently from January to December 2021. Every month's deals records are valuable for deciding if sales have expanded or diminished. The review's discoveries incorporate the improvement of an electronic framework that can create rough numbers in anticipating bargains for the next month, simplifying it to decide how much bread will be sold while considering the supply of products and how much will be delivered before very long. The following month with the objective that there is no need or overflow of bread stock. The consequences of deals forecasts for a very long time in 2021 produce expectations in January 2022, in the thirteenth period with MAD (Mean Absolute Deviation) aftereffects of 40.08% and MSE (Mean Squared Error) paces of 27.64%.

IMPLEMENTATION OF CRM METHODS TO IMPROVE SALES QUALITY OF BUNUT SEBRANG UMI CLOTHING SHOP Windi Safitri; Guntur Maha Putra; Febby Madonna Yuma
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Along with the times, the business world is currently experiencing rapid development, especially in the business world, such as selling fashion products. Therefore, a good strategy is needed. In maintaining more advanced competitiveness, companies must develop information technology. Another thing that must be considered in making the business progress is maintaining customer relations, managing good relationships with new customers, or regular customers using the Customer Relationship Management (CRM) method. The application of the CRM method will make it easier for Umi Clothing Store owners to retain existing customers and make it easier for store owners to get new customers. The research method used in this research is qualitative research. This research will only utilize data obtained from the research location and input it without changing anything.

IMPLEMENTATION OF E-COMMERCE IN PERCETAKAN CITRA BERSAMA TANJUNGBALAI USING THE CRM METHOD Nurhikma Ritonga; Neni Mulyani; Rika Nofitri
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Citra Bersama Tanjungbalai Printing is a business engaged in selling printing products and services, established in 2006, located on Jalan Peninsula, Sirantau Village, Datuk Bandar District, Tanjungbalai City. The problems that occur in Citra Bersama Printing are not yet implementing an online sales system; customers have difficulty knowing sales information on the printing press. There is no information system to carry out promotions, and recording customer order data at the printing press is still done manually. Therefore, the E-commerce application uses the CRM method of web-based product sales and printing services to help buyers find various information and make it easier for buyers to place orders without coming directly to the printer. The application of E-commerce with the CRM method helps Tanjungbalai Citra Bersama Printing in conducting promotions and providing information related to the sale of products and services marketed to customers, as well as expanding sales of products and services sold due to promotional features, discount prices, customer data, live chat, and product ratings.

EXAMINING STUDENTS' BEHAVIORAL USE OF CAMPUS JOURNALS WITH THE TECHNOLOGY ACCEPTANCE MODEL APPROACH Agus Pratama W; Asrul Sani; Siti Aisyah; Merliani Ivone S; Agus Budiyantara
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Understudy conduct is an action completed by understudies for every person. Students who visit campus journal websites are essential in terms of journal accreditation aspects, where this is a benchmark for increasing the journal's potential as a reference. However, some factors influence it where the frequency of students visiting campus journal websites is not as expected in exploring journals, and the enthusiasm of students to download articles is still below the desired expectations. It causes the potential for the journal to obtain national accreditation at a small percentage, and students may think that there are very few reference sources for journals, so it is less attractive on the campus journal website system. Data collection methods were used in this study, such as interviews, literature study, and questionnaires. Meanwhile, evaluate the campus journal website system on student behavior using the Technology Acceptance Model (TAM) with four variables: perceived ease of use, usefulness, attitude toward using, and behavioral intention to use. This method makes the user feel it is easier to access the campus journal website; then, the user feels the campus journal website can provide benefits and usability. The user has a great curiosity about accessing the campus journal, and finally, the user wants to access the website and take the initiative to influence. other users in to access the same

THE EFFECTIVENESS ANALYSIS OF RANDOM FOREST ALGORITHMS WITH SMOTE TECHNIQUE IN PREDICTING LUNG CANCER RISK Ita Yulianti; Ami Rahmawati; Tati Mardiana
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Abstract When compared with other types of cancer, most of the population with cancer die from lung cancer.A person needs to do a screening test through X-rays, CT scans, and MRI to detect the disease. However, before carrying out the process, the doctor will ordinarily investigate a medical history and physical examination first to study the symptoms and possible risk factors for lung cancer. The lung cancer data set has a class imbalance that affects the performance of the random forest algorithm in predicting the risk of lung cancer. This study aims to employ the SMOTE technique to the random forest algorithm to increase accuracy in predicting lung cancer risk. In this research, data processing and analysis use the Python programming language. The test results show an accuracy value of 88% with an AUC value of 0.93. When employing the random forest method to forecast lung cancer risk, the SMOTE technique is useful in dealing with class imbalances in the data set.

APPLICATION OF PROFILE MATCHING ALGORITHM IN SELECTION OF THE BEST EMPLOYEES IN PROPERTY COMPANY Laeli Nurchasanah; Annisa Cintakami Firdaus; Desti Fitriati
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i2.150

Giving awards to employees who have advantages and good work performance is one way to increase positive competitiveness among employees in a company. This study aims to find the advantages of each employee to find out which employees excel. Through achievements in the world of work, it can be a benchmark for finding the best employees who deserve awards. Analysis of the data used in this study is sourced from data on sales of property companies for the last three months. This study uses the Profile Matching Method to determine the best employees in property companies. This research was conducted by comparing one employee with another employee candidate based on predetermined criteria. The results of this study are in the form of rankings that show the order of the best employees who are entitled to an award from the company.

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Tati Mardiana

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jurnal.jri@kresnamediapublisher.com

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Location
Kota banjar,

Jawa barat

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

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

Abstract

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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