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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
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Data Mining Analysis to Predict Student Skills Using Naïve Bayes Method Lizar, Yaslinda; Firrizqi, Alya Sahira; Guci, Asriwan; Sunadi, Joko
Knowbase : International Journal of Knowledge in Database Vol. 3 No. 2 (2023): December 2023
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v3i2.7481

Abstract

The possession of specific skills by students not only has a positive impact on the students themselves but also on the Study Program within a Faculty and the University as a whole. However, Study Programs sometimes face difficulties in determining the skills of numerous students even after they have completed 7 semesters of study. Therefore, a method to extract available data in order to determine student skills quickly and accurately is essential. This research aims to apply a data mining method to predict student skills in the Information Systems Study Program at UIN Imam Bonjol Padang. The study focuses solely on predicting student skills in the fields of data processing and programming. The method employed in this data mining analysis is the Naïve Bayes method. Data will be collected from student course grades related to data processing and programming. The data will be processed using an application and subsequently tested using a Confusion Matrix. The research results indicate that predicting the determination of student skills in the Information Systems Study Program at UIN Imam Bonjol can be achieved using the Naïve Bayes algorithm, which yielded a Naïve Bayes model accuracy of 93%, precision of 81%, and recall of 81%. The obtained model can be implemented in the form of an application to determine decision-making strategies for students.
Decision Support System for Selecting Marching Band Field Commanders Using Profile Matching Alza, Nurul Hafizhah; Suryamen, Haris
Knowbase : International Journal of Knowledge in Database Vol. 3 No. 1 (2023): June 2023
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v3i1.7561

Abstract

The selection process for Marching Band field commanders often relies on subjective evaluations such as the coach's feelings or other perceptions that lack objectivity. Therefore, a more systematic and objective approach is required to choose the most suitable marching band field commander. This research aims to establish a Decision Support System using the Profile Matching method. The development methodology employed was the Waterfall model, encompassing five steps: requirements, design, development, testing, and deployment. The research findings revealed three crucial aspects in determining the marching band field commander: body posture, field ability, and personality. Various criteria were utilized, including body language, preparedness, knowledge of marching rules, vocal skills, general understanding of marching bands, accuracy, experience, attitude, and presence. To facilitate the selection process, a decision support system application was developed using the PHP programming language. This system utilizes a database to store processed data and generates output in the form of rankings. The implementation of this decision support system resolves the challenge of determining the best marching band field commander, providing marching bands with a more objective means of identifying the ideal candidate.
Application of the Naïve Bayes Algorithm in Classifying the Reading Interests of Regional Library Visitors Murlena, Murlena; Syahindra, Wandi
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8680

Abstract

Reading interest is a key indicator in assessing the success of library services. However, manually understanding visitors' preferences poses a challenge for library managers. This study aims to classify the reading interests of regional library visitors by employing the Naïve Bayes algorithm, a widely-used classification method in data mining. The research data includes visit records and book borrowing data from a regional library. Through a quantitative approach, this study analyzes reading interest patterns and evaluates the performance of the Naïve Bayes algorithm in classifying these interests. The analysis results show that the algorithm achieves an accuracy of 65%, with a precision of 62%, recall of 63%, and F1-score of 63%. These findings are expected to assist libraries in formulating better-targeted collection management and service policies, contributing to the overall improvement of reading interest in the community. This study contributes to the field by providing a practical, data-driven solution for libraries to enhance service quality through a better understanding of visitor preferences. Furthermore, it demonstrates the applicability of the Naïve Bayes algorithm in a non-commercial context, encouraging future research on data-driven approaches in library management to support literacy and educational development
Decision-Making System for KIP IAIN Bukittinggi Scholarship Recipients Using the SAW and TOPSIS Methods Wizsa, Uqwatul Alma; Yuspita, Yulifda Elin; Rahayu, Wikasanti Dwi
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5188

Abstract

The KIP scholarship is one of the scholarships available at IAIN Bukittinggi, and prospective recipients will be chosen based on the number of quotas available. Thus far, the selection process has been carried out by calculating the total value based on the sum of the percentages of each criterion arranged according to the level of importance. The procedure does not include a decision-making system for determining whether or not to accept the KIP scholarship. As a result, a decision support system is required to quickly and accurately determine which students are eligible for scholarships. In this research, the decision-making system compares the SAW and TOPSIS methods, with the latter using normalized weights in calculating the preference value as a determining value for alternative scholarship recipients to be selected. The SAW method was found to be more sensitive than the TOPSIS method in the data for the KIP scholarship 2020 recipients at IAIN Bukittinggi, with a sensitivity value of 96.87 compared to 81.96 for the TOPSIS method. Based on these findings, the SAW method can be recommended as a decision return system for KIP scholarship recipients to study at IAIN Bukittinggi the following year.
Design of New Student Registration Information System at SMPN 3 Kecamatan Payakumbuh Rahmadani, Fitri
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5259

Abstract

In this research, the author encountered some problems with PPDB (admission of new students) in SMP N 3 Kecamatan Payakumbuh, as there was no website for new student registration. As a result, the announcement about the PPDB was announced through brochures. Sometimes, this makes a problem, such as a brochure was lost or torn. Therefore, there were obstacles to administration and information about the PPDB, it made inefficient. Another problem was that there was no data stored in the database, which made data vulnerable to lose and easily burned. Research and Development (R&D) with the system development model used is SDLC (System Development Life Cycle), which consists of 5 stages, namely Communication, Planning, Modeling, Construction dan Deployment. When planning‎[1], the ACON student information system was built using PHP/MySql. The research was tested using a validity test with three validators, and the system was declared valid with an average of 0.78. Furthermore, the system was declared very practical with an average of 0.97 after being tested on three teachers. At last, the effectiveness test was conducted on 5 students, and the system received a very high effectiveness score of 0.87 on average‎.
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.
K-Means Clustering in Determining the Category of Stock Items In Angkasa Mart Hardianto, Roki; Ramadhan, Hardiansyah; Putra Pane, Eddissyah; Yunefri, Yogi
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5411

Abstract

A good and accurate stock management system is crucial in any institution or organization that conducts product buying and selling transactions. This is done to improve stock efficiency, reduce storage costs, be more effective, and meet customer expectations. This research produced three groups of the most desirable products for large stock quantities, moderate stock quantities for products of interest, and low stock quantities for products that were less or not in demand. Data was processed using the clustering method, specifically the K-Means method, which was based on historical sales data that includes the product code, number of transactions, and average sales. This study was carried out using web-based calculations. Testing with the rapid miner application. The research yielded three members of the product group for large stock, 238 large stock, 273 medium stock, and 25 low stock.
Design Expert System to Identify Student Talent Based on Personality Type Using Certainty Factor Method in SMP Muhammadiyah Kandis Siak Riau Province Febryanto, Febryanto; Efriyanti, Liza
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5587

Abstract

The goal of this research is to create a system design that "can assist parents and teachers in recognizing the talents of their students" based on the child's personality, so that parents and teachers can provide "the right education and learning patterns for students". The author discovers that there is no expert system in SMP Muhammadiyah Kandis to identify children's talents based on personality type using certainty factor methods, and that at SMP Muhammadiyah Kandis, evaluations are still done manually and only to determine intelligence, not to determine student talent. The research method that the author uses is the Research and Development method, where the development method that the author uses is the Waterfall method according to Pressman, which the stages consist of Communication, Planning, Modeling, Construction, Development.‎ Based on the findings of the authors' research, the authors were successful in creating this research product, with the functional suitability test results from two experts obtaining a feasibility value of 100%, which was declared Very Fair, and the compatibility test results obtaining a feasibility value of 100%, which was declared Very Eligible and the feasibility score for the usability test was 86.3%, which was declared Very Eligible, and the feasibility score for the material result test was 81%, which was declared Very Eligible, and the feasibility score for the Indonesian linguistic test was 87.5%, which was declared Very Eligible. The aim of this study is to develop a expert system to identify children's interests and talents that are validated and worthy of being operated.
Expert System Diagnosing Gastric Disease Using Hybrid Method Yenila, Firna; Wahyuni, Suci
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5662

Abstract

The gastric is a vital organ that must be maintained by maintaining a balanced life. The lack of time to discuss with patients, the causes of stomach disease is frequently overlooked. Need a new way to consult with patients without seeing the time. Expert consul is an application based on knowledge such as an expert system. This research was proposed to provide education to system users who have problems with the stomach. So that treatment can be obtained quickly and the stomach's condition can be better. This research includes a system designed by incorporating an expert's expertise into a system by combining the forward chaining method by describing the conditions experienced by patients in the form of sequential questions and the certainty of factors that provide some of the patient's belief in experiencing these conditions, which are used as desires in decision making. The result of the expert system using the hybrid method obtained consultation results with a 76 % certainty level, indicating that the patient was quite certain of having the disease that was conveyed in accordance with the knowledge that had been adopted by the expert so that the patient received the right therapy early before further consultation with experts. Lambung merupakan organ vital yang harus dijaga dengan menjaga hidup seimbang. Singkatnya waktu untuk berdiskusi dengan pasien menyebabkan penyakit lambung sering terabaikan. Dibutuhkan cara baru untuk berkonsultasi dengan pasien tanpa melihat waktu konsultasi pakar berupa sebuah aplikasi berbasis pengetahuan seperti system pakar. Penelitian ini diajukan untuk memberikan edukasi kepada pengguna system yang memiliki masalah dengan lambung berupa informasi persentase menderita penyakit tersebut. Sehingga penanganan cepat didapatkan dan kondisi lambung bisa kembali seperti sediakala. Penelitian ini mengusung aplikasi system pakar yang dirancang dengan menyadurkan kepakaran seorang ahli kedalam sebuah system dengan menggabungkan metode forward chaining dengan memaparkan kondisi yang dialami oleh pasien dalam bentuk pertanyaan secara berurutan dan certainty factor yang memberikan persentase tingkat keyakinan pasien mengalami kondisi tersebut yang dijadikan acuan dalam pengambilan keputusan. Hasil yang didapatkan dalam system pakar yang melakukan pengujian terhadap metode hybrid tersebut didapatkan hasil konsultasi dengan tingkat kepastian 76% yang menyatakan bahwa pasien dinyatakan cukup yakin mengidap penyakit yang disampaikan sesuai dengan pengetahuan yang sudah disadurkan oleh pakar, sehingga pasien mendapatkan terapi yang tepat secara dini sebelum berkonsultasi lanjut dengan pakar.
K-Means Clustering Algorithm to See the Correlation of Tahfidz Activities with Student’s Learning Outcomes Khomarudin, Agus Nur; Hidayat, Asri
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5672

Abstract

Computer technology is currently used as a tool to support educational activities and assist teachers in quickly, precisely, and accurately processing student data. The Qur'an has been memorized by many students at MAN 1 Bukittinggi as a result of long-running Tahfidz activities, which have also helped them stand out in teaching and learning evaluation meetings held at the end of each semester. In conveying the activities which take place in the field, the Tahfidz teacher has not used real data and certainly will not describe the real state of Tahfidz activity and student memorization. The solution to this problem is applying the Data Mining technique for grouping data of Tahfidz activity and student learning outcomes, in order to discover the correlation between the two and whether there is any effect or not. The data processed in this research is Tahfidz activity data and student learning outcomes data for class XI (eleven) sourced from piles of data, the data used are Tahfidz memorization data, Tahfidz scores, and student grades at MAN 1 Bukittinggi. The data mining development methodology used in this research is Cross-Industry Standart Process for Data Mining (CRIPS-DM). The results of the research by applying the K-Means Clustering algorithm has produced two clusters. The first cluster shows the characteristic that Tahfidz activity doesn’t have significant effect on student learning outcomes. The second cluster shows the characteristics that Tahfidz activity has a significant effect on student learning outcomes.  The data from the clustering of each cluster is then analyzed and the results of the cluster analysis are used by the school as a consideration in evaluating Tahfidz activity and learning outcomes whether it has been effective or not at MAN 1 Bukittinggi.

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