cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Firdaus Annas
Contact Email
firdaus@uinbukittinggi.ac.id
Phone
+6285278566869
Journal Mail Official
knowbase.uinbukittinggi@gmail.com
Editorial Address
Data Center Building - Kampus II Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi. Jln Gurun Aua Kubang Putih Kecamatan Banuhampu Kabupaten Agam Sumatera Barat Telp. 0752 33136 Fax 0752 22871
Location
Kab. agam,
Sumatera barat
INDONESIA
Knowbase : International Journal of Knowledge in Database
Published by Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
ISSN : 27980758     EISSN : 27977501     DOI : https://www.doi.org/10.30983/knowbase
Core Subject : Science,
Computer Science & IT
Knowbase : International Journal of Knowledge in Database is a peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia to focus on understanding Modern developments in this field, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results that describe significant advances in the areas of Database management systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 150 Documents
 4   5   6   7   8 
Design and Development of an Online Analytical Processing (OLAP) Application for Customer Profiling Analysis of Insurance "X" Kesuma Wardanie, Debleng Puja; Kacung, Slamet; Fauzi, Chamdan; Pamudi, Pamudi
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i2.8799

Abstract

The system's slow and inflexible response time is a characteristic of analytical processes based on transactional databases (OLTP), as experienced by PT Asuransi "X." This limitation arises because transactional databases are not designed for OLAP, which can provide various functions to perform synthesis and analysis that improve response time. This study aims to design and develop an Online Analytical Processing (OLAP) application to be used for customer profiling analysis at insurance company "X." In the insurance industry, effective and efficient data analysis is essential to understand customer behavior, perform segmentation, and make more informed decisions in marketing insurance products. The OLAP application developed in this study integrates various customer data dimensions, such as demographics, claim history, and owned products, facilitating multidimensional analysis for its users. The application design process includes system design, data collection, OLAP technology implementation, and application testing. The study results indicate that the application reveals that the majority of customers are male (56%), aged between 30 and 45 years (45%), and employed in the private sector. Additionally, in the city of Surabaya, there is a higher tendency to purchase the Mitra Sakinah life insurance policy. This information enables the company to better understand customer demographic characteristics and tailor its marketing strategies accordingly.
Analysis of A Priori Algorithm in Medical Data for Heart Disease Identification with Association Rule Mining Sutejo, Davip; Yudha Adhi Jaya, Villa Indra; Kacung, Slamet
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i2.8909

Abstract

Heart disease is one of the leading causes of death worldwide, so it is important to identify risk factors that can contribute to the development of this disease in order to carry out early prevention. This study aims to identify patterns of association between risk variables and the incidence of heart disease using the Association Rule Mining (ARM) method combined with the A priori algorithm. The data used in this study includes lifestyle information, medical history, and other health parameters, obtained from the UCI Machine Learning repository. The analysis results showed that with a support value between 30% and 70%, the strongest association rule was found between sex (sex = 1) and angina (exang = 1), with a lift value of 1.67, indicating a strong positive relationship towards a positive diagnosis (target = 1). In addition, other moderate association rules were found, such as the combination of cp_1 = 1 and ca_0 = 1, with a lift value of about 0.73, indicating a weaker association. These findings suggest that some attribute combinations have higher predictive power, which can be used to improve prediction models in the medical diagnosis of heart disease. This research also highlights the main challenges faced by the A priori algorithm, such as computational complexity and selecting the right threshold to obtain significant rules
Performance Analysis of Openlitespeed and Apache Web Servers in Serving Client Requests Sandra, Haris
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i2.5306

Abstract

Web server those who use apache are now very familiar to users, because apache is easier to use than other web servers, but runs PHP applications (Hypertext Preprocessor) by handling 100000 requests is certainly very influential on the speed of the web server. Openlitespeed is a web server that functions the same as apache, but server users are more likely to use openlitespeed. This study conducted a performance test on both web servers to find out which web server is very suitable for use in completing client requests. This test uses the https://webpagetest.org, https://gtmetrix.com and https://developers.google.com/speed/pagespeed/insights applications. To do benchmarking of the many diverse client requests. The trial results in the current study provide benchmarking results which result in terms of time usage.
Verification Of Student Diplomas Based On Qr Code Herawati, Citra Widya
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5851

Abstract

Diploma verification is still done manually. During this time, the diploma is verified by displaying the original diploma. Because the campus does not match the diploma with the existing archives, diploma falsification is possible. IAIN Bukittinggi uses manual methods to verify the authenticity of diplomas. The goal of this research is to create a diploma verification system based on QR CODE to verify the authenticity of diplomas. Research and Development is the type of research employed (R&D). The system development model employs a waterfall approach and the System Development Life Cycle (SDLC). The validity test results are valid, with an average of 0.90. The average practicality test result is 92, indicating that the product is very practical. And the effectiveness test results with an average of 0.90, which is very high.
Design an Alumni Data Collection Information System Using the Waterfall Method Early, Dwi Rahmayani; Alhuda, Alhuda
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i2.5855

Abstract

The background of this research is that there is no alumni data collection information system at the Informatics and Computer Engineering Education Department (PTIK) IAIN Bukittinggi. Because the PTIK department already has a large number of alumni, a system that can serve as a forum for alumni data is required. The method used is Research and Development (R&D). R&D is a research method used to manufacture a specific product and test its effectiveness. The development model used is ADDIE, which stands for analyze, design, develop, implement, evaluate. The waterfall model is used in the system development model. The findings of this study include the development of an information system for collecting alumni data. The product is available for use by the head of PTIK department and the alumni. To demonstrate the system's effectiveness, three validators were obtained with a total value of 0.76 and were declared valid, while three examiners obtained a total value of 86.7 and were declared very practical. The effectiveness test on 5 graduates yielded a total score of 0.88 using very effective criteria.
Sentiment Analysis And Topic Modeling on User Reviews of Online Tutoring Applications Using Support Vector Machine and Latent Dirichlet Allocation Fahlevvi, Mohammad Rezza
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5906

Abstract

Ruangguru is an online non-formal education application in Indonesia. There are several appealing features that encourage students to study online. The app's release on the Google Play Store will assist app developers in receiving feedback through the review feature.Users submit various topics and comments about Ruangguru in the review feature of Ruangguru, making it difficult to manually identify public sentiments and topics of conversation. Opinions submitted by users on the review feature are interesting to research further. This study aims to classify user opinions into positive and negative classes and model topics in both classes. Topic modeling aims to find out the topics that are often discussed in each class. The stages of this study include data collection, data cleaning, data transformation, and data classification with the Support Vector Machine method and the Latent Dirichlet Allocation method for topic modeling. The results of topic modeling with the LDA method in each positive and negative class can be seen from the coherence value. Namely, the higher the coherence value of a topic, the easier the topic is interpreted by humans. The testing process in this study used Confusion Matrix and ROUGE. The results of model performance testing using the Confusion Matrix are shown with accuracy, precision, recall, and f-measure values of 0.9, 0.9, 0.9, and 0.89, respectively. The results of model performance testing using ROUGE resulted in the highest recall, precision, and f-measure of 1, 0.84, and 0.91. The highest coherence value is found in the 20th topic, with a value of 0.318. Using the Support Vector Machine and Latent Dirichlet Allocation algorithms are considered adequate for sentiment analysis and topic modeling for the Ruangguru application.
Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants Parewe, Andi Maulidinnawati Abdul Kadir; Mursalim, Mursalim; Putri, Titis Sari; Hermawati, Hermawati
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5959

Abstract

Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.
Utilization of The Qr-Code on The Santri Id-Card as The Santri’s Personal Data Code Ideal, M. Agung Vafky
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.6018

Abstract

Data management has always been a challenge in all aspects, including the management of students' personal information. Building an information system capable of producing student Id-cards equipped with a QR-code enables the use of the QR-code on the student Id-card as a student personal data code. This study aims to build a system to make it easier to make student ID-cards, store personal data, and data on student semester scores. The QR-code on the student's ID card serves as a medium for quickly conveying information encoded with Uniform Resource Locators (URL). Santri can scan the QR-Code with a smartphone device that has a QR-code scanning app installed. The Research and Development (RnD) version of ADDIE was used in this study (Analyze, Design, Develop, Implement, Disseminate). The application was created with the sublimetext software, the codeigniter framework, and CSS bootstrap as the front end. For the validity test, Aiken's "V" formula was used, as was the Moment kappa Formula for the practicality test, and the Gain Score formula for the effectiveness test. Based on the results of the three tests, the product is valid with a score of 0.9, practical with a score of 0.94, and effective with a score of 1.
Implementation of the Support Vector Machine Method for Sentiment Analysis Using Twitter Data Wahyuni, Widya
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.6019

Abstract

The development of feminism, which is centered on women all over the world who want to be free of male pressure, oppression, and inequality, has continued to the present day. Various public opinions about feminism are now being expressed on various social media platforms. There has been a long debate about feminism's critics and supporters in terms of equalizing women's intellectual and the role of women in making decisions. Not only that, but the desire to end acts of violence and injustice against women is a form of feminism that is often taken for granted, even in the legal realm. The purpose of this study was to examine public sentiment based on opinions shared on social media. Hashtags related to feminism from social media are the main data that will be used to analyze public opinion sentiments about feminism. In this study, 500 tweets were used, and the data was later separated into positive, negative, and neutral opinions before being analyzed using the Support Vector Machine (SVM) method. The results of this study obtained an accuracy of 72%, indicating that the use of SVM to perform sentiment analysis on Twitter data is quite good.
Decision Support System for Choosing The Best Housing Location by The Satisficing Model and AHP Method Ningsih, Eva Tri
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.6046

Abstract

Residence is the most important means of life as a place to gather with family and build a peaceful and harmonious family. The realization of community welfare and quality human resources can be characterized by an improvement in the standard of living. This research took an alternative location to the villages located in Rumbai district, namely Sri Meranti, Umban Sari, Palas, Lembah Damai, Limbungan Baru, Meranti Pandak. The criteria used are at least 6 criteria with the AHP Method and Satisficing Model. The Analytical Hierarchy Process (AHP) method compares based on human perception, the AHP method can be strengthened by the Satisficing Models method because the Satisficing Models method in this case is a comparison method that calculates real financial or economic value with the human perception method. Thus, it can be concluded from this application and research that the Satisficing Models Method is a supporting method or method to strengthen the feasibility of the AHP method. The AHP method compares only six sides of the compared criteria in this DSS, while the Satisficing Models method compares all six financial aspects. In this case, the recommended alternative location to select is the one with the highest rating result in the AHP method - The Satisficing Model.

Page 6 of 15 | Total Record : 150

 4   5   6   7   8 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2025): December 2025 Vol. 5 No. 1 (2025): June 2025 Vol. 4 No. 2 (2024): December 2024 Vol. 4 No. 1 (2024): June 2024 Vol. 3 No. 2 (2023): December 2023 Vol 3, No 1 (2023): June 2023 Vol. 3 No. 1 (2023): June 2023 Vol. 2 No. 2 (2022): December 2022 Vol 2, No 2 (2022): December 2022 Vol. 2 No. 1 (2022): June 2022 Vol 2, No 1 (2022): June 2022 Vol. 1 No. 2 (2021): December 2021 Vol 1, No 2 (2021): December 2021 Vol 1, No 1 (2021): June 2021 Vol. 1 No. 1 (2021): June 2021 More Issue