cover
Article Per Year (5 Year)
All
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
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 9 Documents
 1 
Search results for , issue "Vol. 5 No. 4 (2023): September 2023" : 9 Documents clear
Business Process Engineering of Opening a Simpedes Saving Account Using Value-Added and Flow Analysis Methods Vinny Putri Rezeki; Fitria Fitria
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.135 KB) | DOI: 10.34288/jri.v2i4.116

Abstract

The level of competition and demands for higher business quality encourage the company to develop in all sectors to achieve company goals, including the banking sector, which has main business processes, one of which is serving customers in the account opening process. Therefore, this study conducted a business process analysis to open a Simpedes savings account and then build a more optimal business process improvement engineering. Business process engineering by conducting business process analysis using the BPMN standard, value-added analysis, flow analysis, and simulation using the Bizagi Modeler software. Based on the simulation at Level 2-Time Analysis, the existing business process takes 52 minutes to complete 22 activities. Meanwhile, business process improvement only takes 19 minutes for 16 account opening activities. According to the accumulated calculations, the simulation results on the Level 3-Resource Analysis business process improvement with the implementation of writing pad procurement and the raw material utilization will increase by 13,23%. The costs incurred at the beginning will be significant but have long-term benefits so that the results of business process engineering show better improvements in terms of time and cost that companies can use as business process optimization recommendations.
Usability Testing Analysis on Digital Wallet Applications to Measure User Satisfaction Nur Mutia Eka Pusparani; Tyas Setiyorini; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1096.109 KB) | DOI: 10.34288/jri.v5i4.119

Abstract

One of the issues that users of digital wallet apps often face is slow loading, which can cause frustration and disrupt the user experience. In addition, lack of app responsiveness due to server errors is also a complaint of users, which can lower their trust in the app. Another problem is the difficulty in the login process, which can make it difficult for users to access the application. From these problems, it is necessary to conduct a "usability testing analysis on digital wallets to measure user satisfaction." a study evaluates user satisfaction using ShopeePay, Dana, and Ovo as digital wallets. In this study, TCR is used as an indicator to measure the level of user satisfaction, and the variables considered are Attractiveness, Understandability, Learnability, and Operability. The results show that ShopeePay has the highest TCR of 78.77%, followed by Ovo at 77.32% and Dana at 75.58%. Attractiveness factors affect user satisfaction in ShopeePay, while in Dana, Learnability and Attractiveness factors influence. In Ovo, Operability and Attractiveness factors affect user satisfaction, while Understandability and Learnability have no significant effect. The findings from this study provide valuable insights for digital wallet service providers to optimize the factors that influence user satisfaction. This can help increase the acceptance and utilization of digital wallets in the growing market.
Sentiment Analysis of Telemedicine Applications on Twitter Using Lexicon-Based and Naive Bayes Classifier Methods Arid Hasan; Yudhi Raymond Ramadhan; Minarto Minarto
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.857 KB) | DOI: 10.34288/jri.v5i4.244

Abstract

Since the onset of the COVID-19 pandemic in Indonesia, many people have turned to telemedicine programs as an alternative to minimize social interactions, opting for consultations from the safety of their homes using smartphones and internet connectivity. Given the necessity for physical distancing and avoiding crowded places, these applications have become indispensable substitutes for in-person medical consultations. Numerous apps facilitating access to healthcare services have been introduced in Indonesia, ranging from business startups to initiatives by the Ministry of Health. Telemedicine can potentially revolutionize healthcare in Indonesia, addressing critical health challenges. A significant issue within Indonesia's healthcare system is the scarcity of doctors and their uneven distribution. With only four doctors per 10,000 people, this figure falls far below the WHO guideline of 10 doctors per 1,000. Sentiment analysis of these applications was conducted to evaluate how telemedicine applications meet public needs and offer an alternative solution. Lexicon-based and naive Bayes methods were employed to classify tweet data into positive, neutral, and negative sentiments. The results revealed 908 positive tweets, 172 negative tweets, and 168 neutral tweets, indicating predominantly positive public perceptions of telemedicine applications. The naive Bayes classifier exhibited a 74% accuracy rate, with a precision of 98% and a recall of 86%. These findings underscore the positive impact and acceptance of telemedicine applications among the Indonesian populace, emphasizing their significance in augmenting the nation's healthcare landscape.
Naive Bayes and Decision Tree Algorithms for BRI Life Sharia Insurance Product Classification Rika Astuti
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.697 KB) | DOI: 10.34288/jri.v5i4.246

Abstract

Law 12 of 2012 mandates that the government increase access to higher education for high achievers and underprivileged people. One of the efforts to realize this is by providing KIP Lectures. To ensure that beneficiaries are eligible for KIP scholarships, it is necessary to classify scholarship recipients correctly using data mining classification techniques. The classification technique chosen is k-Nearest Neighbor (K-NN). K-NN is a classification method that relies heavily on the k parameter in carrying out classification. K-NN was applied to the KIP Scholarship applicant dataset at UIN Malang in 2022. The test scenario in this research is to compare the k-odd and k-even parameters to find the most optimal k value in K-NN. The highest accuracy value obtained by k-odd is 0.71 or 71% when k=9, and the highest for k-even is 0.67 or 67% when k=10. Using optimal k parameters is proven to improve k-NN performance. The K-NN algorithm with k-odd parameters, namely k=9, is the best method for classifying KIP scholarship recipients in this research. The results of this research can be considered in determining KIP scholarship recipients worthy of using K-NN.
Application of Fuzzy Tsukamoto Method to Rainfall Prediction in Sleman Regency Rizky Diar Panuntun; Arief Hermawan
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.76

Abstract

The context of this research is that erratic rainfall can disrupt community activities, especially for traders who want to make sales. In addition, information about rainfall is also needed by farmers in determining planting patterns in order to get maximum yields. The purpose of this research is to be able to help farmers predict rainfall to get maximum crop yields. One method to be able to predict rainfall is Fuzzy Logic. This research will use the Tsukamoto Fuzzy method. In the research conducted this time, the author conducted monthly rainfall forecasting in Sleman Regency. Rainfall data in Sleman Regency from 2015 to 2022 will be used in this research. This research succeeded in getting a MAPE value of 49.31%. The result of this research is the highest monthly rainfall prediction in November, with a rainfall of 713.78 mm. At the same time, the lowest occurred in August, which amounted to 36.47 mm. This research only gets a MAPE value of 49.31%. So it can be concluded that the Tsukamoto fuzzy method cannot predict rainfall well.
Enhancing Risk Management in an IT Service Company: A COBIT 2019 Framework Approach Emmanuel Enrique; Melissa Indah Fianty
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.212

Abstract

The application of information technology is utilized to support the business activities of companies engaged in IT services. One of the prevailing issues pertains to service delivery delays. This issue is paramount as customer satisfaction ranks among the most pivotal factors for business success, significantly influencing the company's continued prosperity. In response to these challenges, this study assesses the level of IT governance within the company using the 2019 COBIT framework. The methodology employed combines a qualitative approach, integrating data collected through interviews and literature analysis. The study's key performance indicators include APO12 (Managed Risk), BAI10 (Managed Configuration), and DSS04 (Managed Continuity). The findings reveal that the measured capability levels for these objectives are at levels 3, 3, and 2, respectively, falling short of the targeted levels, which are 4, 4, and 3. This indicates a 1-level gap in each process. The recommendations provided concentrate on the management of risk records associated with service delay causes, the proper management of IT resources, and the maintenance of a continuous service system to prevent future delays.
Performance Improvement of K-Nearest Neighbor Algorithm in KIP Scholarship Recipient Selection Manzilur Rahman Romadhon; M. Faisal; M. Imamudin
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.242

Abstract

Abstract Law 12 of 2012 mandates that the government increase access to higher education for high achievers and underprivileged people. One of the efforts to realize this is by providing KIP Lectures. To ensure that beneficiaries are indeed eligible for KIP scholarships, it is necessary to classify scholarship recipients with data mining classification techniques correctly. The classification technique chosen is k-Nearest Neighbor (K-NN). K-NN is a classification method that relies heavily on the k parameter in carrying out classification. K-NN was applied to the KIP Scholarship applicant dataset at UIN Malang in 2022. The test scenario in this research is to compare the k-odd and k-even parameters to find the most optimal k value in K-NN. The highest accuracy value obtained by k-odd is 0.71 or 71% when k=9, and the highest for k-even is 0.67 or 67% when k=10. Using optimal k parameters is proven to improve k-NN performance. The K-NN algorithm with k-odd parameters, namely k=9, is the best method for classifying KIP scholarship recipients in this research. The results of this research can be considered in determining KIP scholarship recipients worthy of using K-NN.
Combination of Profile Matching and SAW Methods for College KIP Admission Riya Majalista; M. Izman Herdiansyah; Zaid Amin
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.243

Abstract

The KIP College program at Baturaja University has been running since 2020. The large number of people interested in this program has made the university that runs this program have difficulty making decisions about recipients of the KIP college program. The data is on interested participants in the KIP program studying at Baturaja University (UNBARA). The gap between the quota determined by the Ministry of Education, Culture, Research, and Technology and the number of registrants triggers difficulties for management in making decisions. This research aims to analyze the KIP Kuliah program selection results using the combination of Profile Matching and SAW methods. From the analysis of determining criteria and rankings using the Combination Method of Profile Matching and SAW, the results show the names of students who will occupy the UNBARA KIP program quota. The result of data calculations already obtained a value of 1,96667 with alternative data A208 in the name of Randi. Alternative A208 can be recommended as the recipient of the College KIP because it has the profile most appropriate to the specified criteria. So, it can be concluded that SPK, using the combination of Profile Matching and SAW methods, can be applied as a form of recommendation in decision-making in determining UNBARA KIP college program recipients.
Measuring the Level of Readiness in SDI Al-Hasaniah Students for Computer-Based Exams Using Technology Readiness Index Method Anggi Oktaviani; Deny Novianti; Dahlia Sarkawi; Muhamad Zul Fahmi
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i4.127

Abstract

The context of this research is that erratic rainfall can disrupt community activities, especially for traders who want to make sales. In addition, information about rainfall is also needed by farmers in determining planting patterns to get maximum yields. The purpose of this research is to be able to help farmers predict rainfall to get maximum crop yields. One method to be able to predict rainfall is Fuzzy Logic. This research will use the Tsukamoto Fuzzy method. In the research conducted this time, the author conducted monthly rainfall forecasting in Sleman Regency. Rainfall data in Sleman Regency from 2015 to 2022 will be used in this research. This research succeeded in getting a MAPE value of 49.31%. The result of this research is the highest monthly rainfall prediction in November, with a rainfall of 713.78 mm. At the same time, the lowest occurred in August, which amounted to 36.47 mm. This research only gets a MAPE value of 49.31%. So, it can be concluded that the Tsukamoto fuzzy method cannot predict rainfall well.

Page 1 of 1 | Total Record : 9

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2024): March 2024 Vol. 6 No. 1 (2023): December 2023 Vol. 5 No. 4 (2023): September 2023 Vol 5 No 3 (2023): Priode of June 2023 Vol. 5 No. 3 (2023): June 2023 Vol. 5 No. 2 (2023): March 2023 Vol 5 No 2 (2023): Priode of March 2023 Vol 5 No 4 (2022): Periode September 2023 Vol 5 No 1 (2022): Priode of December 2022 Vol. 5 No. 1 (2022): December 2022 Vol 4 No 4 (2022): Period of September 2022 Vol. 4 No. 4 (2022): September 2022 Vol. 4 No. 3 (2022): June 2022 Vol 4 No 3 (2022): Period of June 2022 Vol. 4 No. 2 (2022): March 2022 Vol 4 No 2 (2022): Period of March 2022 Vol. 4 No. 1 (2021): December 2021 Vol 4 No 1 (2021): Period of December 2021 Vol 3 No 4 (2021): Period of September 2021 Vol. 3 No. 4 (2021): September 2021 Edition Vol. 3 No. 3 (2021): June 2021 Edition Vol 3 No 3 (2021): Period of June 2021 Vol. 3 No. 2 (2021): March 2021 Edition Vol. 3 No. 1 (2020): December 2020 Edition Vol. 2 No. 4 (2020): Period September 2020 Vol. 2 No. 3 (2020): June 2020 Edition Vol. 2 No. 2 (2020): March 2020 Edition Vol. 2 No. 1 (2019): Periode Desember 2019 Vol 1 No 4 (2019): Periode September 2019 Vol. 1 No. 4 (2019): Periode September 2019 Vol. 1 No. 3 (2019): Periode Juni 2019 Vol. 1 No. 2 (2019): Periode Maret 2019 Vol 1 No 2 (2019): Periode Maret 2019 Vol. 1 No. 1 (2018): Periode Desember 2018 More Issue