Komparasi RBR Dan CBR Untuk Penentuan Kelayakan Mahasiswa Penerima Beasiswa

Tempola, Firman

doi:10.33387/protk.v5i2.687

Cited by 4 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Penelitian [3] menggunakan Case Based Reasoning untuk menganalisis masa studi mahasiswa jenjang sarjana, dimana perhitungan similarity menggunakan metode Weighted Minkowski. Penelitian [4] bertujuan untuk menerapkan Case Based Reasoning dalam menentukan mahasiswa yang layak menerima beasiswa, dimana perhitungan similarity menggunakan Nearest Neighbour. Penelitian yang meneliti kasus beasiswa antara lain penelitian [5] membuat aplikasi sistem pendukung keputusan penerimaan beasiswa dengan menggunakan metode Fuzzy Multi Attribute Decision Masking, penelitian [6] membuat sistem pendukung keputusan untuk menentukan calon beasiswa BBP-PPA, dengan menggunakan metode AHP-PROMETHEE I. Sedangkan penelitian yang akan dilakukan adalah untuk merancang Case Based Reasoning dalam menentukan jenis beasiswa internal di Universitas 'Aisyiyah Yogyakarta, yaitu beasiswa PPS (Peningkatan Prestasi Studi) dan BSM (Bantuan Studi Mahasiswa ) dengan perhitungan similaritas menggunakan metode Similarity Euclidean Distance.…”

Section: Pendahuluanunclassified

Case Based Reasoning Untuk Penentuan Jenis Beasiswa Internal (Bsm Dan Pps) Universitas ‘Aisyiyah Yogyakarta

Silmina

2023

FAHMA

View full text Add to dashboard Cite

Education is the most important thing to educate the nation's life, but there are still many students who fail because of constrained tuition fees, in order to overcome this, the University of 'Aisyiyah Yogyakarta provides internal scholarship assistance to students in the form of Student Study Assistance (BSM) scholarships and Scholarship Improvement Scholarships (PPS). Many students apply for scholarships each year. The criteria for submitting scholarships tend to be similar every year, resulting in data being used to assess repetitions or having similarities between old data and new data. Case Based Reasoning (CBR) is a system that aims to solve a new case by adapting solutions found in previous similar cases. To simplify the process of determining the type of scholarship obtained by students, Case Based Reasoning is used. Similarity calculation for the case of determining the type of PPS and BSM scholarship using Euclidean Distance Similarity. The results of the K05 case similarity calculation are similar to the K02 case, the similarity value obtained is 0.86727, so the K05 case will get a PPS scholarship

show abstract

Section: Pendahuluanunclassified

Case Based Reasoning Untuk Penentuan Jenis Beasiswa Internal (Bsm Dan Pps) Universitas ‘Aisyiyah Yogyakarta

Silmina

2023

FAHMA

View full text Add to dashboard Cite

show abstract

“…Sedangkan menurut Maylawati, Darmalaksana dan Ramdhani [10] sistem pakar adalah sistem yang dapat menyimpan pengetahuan dari para pakar manusia itu sendiri agar komputer mampu memecahkan masalah yang ada menggunakan pengetahuan dari sang pakar tersebut. [11] Sistem pakar yang menerapkan aturan-aturan berupa IF-THEN sebagai basis pengetahuan dan telah divalidasi oleh ahli pakarnya disebut dengan penalaran rule-based reasoning (RBR). Case based reasoning (CBR) adalah penalaran yang berdasarkan solusi dari permasalahan yang sudah ada untuk menyelesaikan sebuah permasalahan.…”

Section: Sistem Pakarunclassified

Pemilihan Jenis Smartphone Sesuai dengan Kebutuhan Menggunakan Metode Forward Chaining dan Decicion Tree

Amperawansyah¹,

Putri

2022

ISI

View full text Add to dashboard Cite

Abstrack -The need for smartphones to support various human activities in daily life has become something that cannot be separated. Various models of smartphones that are present in the market today need to be considered according to the needs of the people. Indonesian people's purchasing power of smartphones tends to come from the lower segment of society who generally prefers to choose smartphones that are in the price range of 1-3 million Rupiah. In the second quarter of 2021, smartphone shipments in Indonesia grew by 28% compared to the second quarter of 2020. To find out what smartphone suits the needs, it can be done by making a system using the forward chaining and decision tree methods. That way whether the two methods are able to provide precise and accurate smartphone results. The result of this research is a web-based system where the author conducts testing with blackbox testing and community satisfaction surveys. The result is that the system is successful without any problems and the collected respondent data shows an accuracy of 95% in helping users make smartphone choices. The conclusion of this research is that a smartphone model fits the user's choice, and that way the user will be helped before buying a smartphone.

show abstract

“…In the geographical field, Dou, et al [17] conducted research to detect landslides using CBR. Tempola and colleagues [18] conducted a study investigating the use of Case-Based Reasoning (CBR) to assess the qualification of students for scholarship awards. In the CBR system, the calculation of case similarity at the retrieve phase becomes a very important part.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Application of Weighted Cosine Similarity and Minkowski Distance Similarity Methods in Stroke Diagnostic Systems

Purwadi,

Delima,

Wibowo

et al. 2023

IJACSA

View full text Add to dashboard Cite

Stroke is a critical medical condition requiring prompt intervention due to its multifaceted symptoms and causes influenced by various factors, including psychological aspects and the patient's lifestyle or daily habits that impact risk factors. The recovery process involves consistent medical care and lifestyle adjustments tailored to the individual case. Expert Systems, a scientific field focused on studying and developing diagnostic systems, can employ the Case-based Reasoning method to identify the type of stroke based on similarities with prior patient cases, considering specific causes and symptoms. This study utilizes the Weighted Cosine, Jaccard Coefficient, and Minkowski Distance methods to assess the similarity of stroke cases. The evaluation is based on input data such as patient causes or symptoms and risk factors from medical records. The analysis of case similarity and solutions involves applying the Weighted Cosine, Jaccard Coefficient, and Minkowski Distance methods, with a defined threshold value. The highest similarity values from previous patient cases are selected for each method. The test outcomes suggest that employing the Minkowski Distance method with a threshold value of 75 and an r value of three or four yields the highest levels of accuracy, recall, and precision. The Minkowski Distance achieves an accuracy and recall rate of more than 88 percent with 100 percent precision.

show abstract

Komparasi RBR Dan CBR Untuk Penentuan Kelayakan Mahasiswa Penerima Beasiswa

Cited by 4 publications

References 5 publications

Case Based Reasoning Untuk Penentuan Jenis Beasiswa Internal (Bsm Dan Pps) Universitas ‘Aisyiyah Yogyakarta

Case Based Reasoning Untuk Penentuan Jenis Beasiswa Internal (Bsm Dan Pps) Universitas ‘Aisyiyah Yogyakarta

Pemilihan Jenis Smartphone Sesuai dengan Kebutuhan Menggunakan Metode Forward Chaining dan Decicion Tree

Comparison of the Application of Weighted Cosine Similarity and Minkowski Distance Similarity Methods in Stroke Diagnostic Systems

Contact Info

Product

Resources

About