Penerapan Algoritma KNN, Naive Bayes Dan C4.5 Dalam Memprediksi Kelulusan Mahasiswa

Wati, Embun Fajar; Rudianto, Biktra

doi:10.22441/format.2022.v11.i2.009

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Namun, penting untuk mempertimbangkan apakah hasil yang sempurna ini juga terjadi pada dataset yang lebih besar atau jika ada masalah khusus yang tidak dihadapi dalam penelitian ini. Hasil penelitian ini berbeda dengan penelitian yang dilakukan oleh E. F. Wati dan B. Rudianto (2022), penelitian tersebut mempunyai hasil nilai AUC yang sangat rendah untuk kinerja KNN [16]. Keberhasilan dari penelitian ini dipengaruhi oleh kualitas data uji dan data latih yang digunakan dalam proses simulasi.…”

Section: Gambar 10 Confusion Matrix Keempat Metodeunclassified

Perbandingan Metode Klasifikasi Dalam Analisis Sentimen Masyarakat Terhadap Identitas Kependudukan Digital (Ikd)

Wahyuningsih,

Hendry

2023

jipi. jurnal. ilmiah. penelitian. dan. pembelajaran. informatik

View full text Add to dashboard Cite

Identitas Kependudukan Digital merujuk pada penggunaan teknologi digital dan data elektronik untuk mengidentifikasi individu dalam konteks kependudukan. Pada dasarnya, Identitas Kependudukan Digital bertujuan untuk memberikan cara yang lebih efisien dalam mengelola data identitas individu. Dalam mengimplementasikan Identitas Kependudukan Digital, perlu memperhatikan aspek keamanan dan privasi data. Selain itu, tidak semua individu memiliki akses ke teknologi digital atau mungkin menghadapi tantangan dalam menggunakan teknologi tersebut. Penelitian ini bertujuan untuk melakukan klasifikasi data dari Twitter terkait Identitas Kependudukan Digital dengan membandingkan metode SVM, K-NN, Naive Bayes, dan Neural Network menggunakan pendekatan data mining CRISP-DM. Dataset diambil menggunakan Twitter API dan diproses menggunakan Orange Data Mining. Dari jumlah awal data tweet sebanyak 7914, setelah dilakukan pembersihan data, tersisa 1022 tweet yang digunakan dalam penelitian. Hasil pengujian menunjukkan bahwa masyarakat cenderung memiliki sentimen netral terkait Identitas Kependudukan Digital. Dalam hal performa model klasifikasi, metode K-NN menunjukkan kinerja yang sangat baik dengan nilai akurasi, presisi, dan recall mencapai 100%. Metode Neural Network dan Naive Bayes memiliki perbedaan yang kecil dalam performanya, sementara metode SVM memiliki nilai yang lebih rendah dalam evaluasi menggunakan Confusion Matrix. Penelitian ini memberikan wawasan tentang sentimen masyarakat terkait Identitas Kependudukan Digital dan mengidentifikasi metode klasifikasi dengan performa terbaik. Hasilnya dapat digunakan sebagai dasar untuk pengembangan lebih lanjut dalam meningkatkan akses dan pengelolaan Identitas Kependudukan Digital.

show abstract

Section: Gambar 10 Confusion Matrix Keempat Metodeunclassified

Perbandingan Metode Klasifikasi Dalam Analisis Sentimen Masyarakat Terhadap Identitas Kependudukan Digital (Ikd)

Wahyuningsih,

Hendry

2023

jipi. jurnal. ilmiah. penelitian. dan. pembelajaran. informatik

View full text Add to dashboard Cite

show abstract

“…Berdasarkan hasil confusion matrix, menunjukkan bahwa Naive Bayes mempunyai accuracy 100.00% dan AUC 1.000 lebih tinggi dibandingkan dengan C4.5 dan KNN. Sehingga algoritma Naive Bayes mempunyai kinerja yang lebih baik dibandingkan dengan KNN dan C4.5 [9].…”

Section: Gambar 1 Jumlah Pendaftar Snmptn Meningkat 2022unclassified

Prediksi Penerimaan SNMPTN Menggunakan Algoritma C4.5 Dan Naive Bayes

Purnamasari,

Suryani

2023

MelekIT

View full text Add to dashboard Cite

School is a formal education unit where teachers teach various disciplines which aim to make students become superior human beings. Education is important for humans. In general, people in Indonesia want their sons and daughters to be able to get an education at State Universities (PTN). There are many paths that can be taken to PTN, one of which is the National Selection for State University Entrance (SNMPTN) which is the PTN entrance route without a test or selection of report cards. However, the quota for acceptance of PTN through the SNMPTN pathway is at least 20% and the passing grade of each PTN cannot be determined so that the possibility of being accepted into PTN through the SNMPTN route is unknown. Therefore, to be able to predict students who can be accepted into PTN through the SNMPTN path, predictions of SNMPTN acceptance are made using classification data mining with the C4.5 and Naive Bayes algorithm. The goal is that with students knowing the possibility of being accepted into PTN through the SNMPTN pathway, it is hoped that more students can be accepted by PTN through the SNMPTN pathway. This study shows that the prediction of PTN acceptance through the SNMPTN path using data mining classification with the C4.5 algorithm produces a much higher accuracy of 85,09% and the AUC value 0,873, while the Naive Bayes algorithm produces an accuracy of 63,01% and the AUC value.

show abstract

“…A method or technique is needed that can turn mountains of data into valuable information or useful knowledge to support business decision-making (Pratama and Rasywir 2019;Priandika, Tanthowi, and Pasha 2022;Yahya, Amer, and Siddiqui 2020). A method that can be used to make this happen is data mining (Felzenszwalb et al 2009;Informatika, Rekayasa, Jakakom, Telkomsel, et al 2022;Rohmah, Sembiring, and ... 2021;Sadewo, Windarto, and Wanto 2018;Sari, Astri, and Rasywir 2020;Tamtelahitu 2020). Recently, data mining has been implemented in various fields, including in the fields of business or trade, education, and telecommunications.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Application of Transaction Data with Association Techniques using the Apriori Algorithm in Pharmacy

Nasutioni,

Abidin,

Rasywir

2023

JABT

View full text Add to dashboard Cite

The development of information technology influences the rapid growth in the amount of data collected and stored in large t. Dimas Pharmacy, located at Jl. Segara Kec. Nipah Panjang is one of the public health services that sells various medicines, medical devices, and so on. This study is expected to provide positive benefits for owners of Dimas Nipah Panjang Pharmacy in Providing information about the pattern of medicine purchases made by consumers and Facilitating pharmacy owners to know the available medicine supplies in the warehouse so as not to experience emptiness when needed. Problem Formulation, Literature Study, Data Collection, Calculation and Analysis of Associations with Priori Algorithms, Results Evaluation and Analysis and Report Making. Based on the results of interviews and observations that have been made, the authors obtain data from the Dimas Pharmacy sales transaction. Data held ± 1000 sales transaction data for the period of May and June. But the author only entered 216 sales transactions in May and 141 sales transactions in June. After knowing the method of data selection, the authors conducted data selection by taking 6 items of significant data specifications in certain contexts, namely Anti Serotonin / Allergy, Antacid / Ulcer, Antibiotics, Antipyretics, Inflammation, Hypertension Each of these items had different brands. From these results it can be explained that the sales transaction of the Dimas Pharmacy in May and June generates or generates relationships between shopping product items. With the calculation of the Apriori Association Algorithm, a Market Basket Analysis relationship was found between Medicinal Pronicy and Dexa items. With the Rule "IF Buy Pronicy, THEN Buy Dexa". The rule is generated from the highest support and confident values of the overall support and confident items. The highest support value is 0.15 and the highest confident value is 0.5 ".

show abstract

Penerapan Algoritma KNN, Naive Bayes Dan C4.5 Dalam Memprediksi Kelulusan Mahasiswa

Cited by 3 publications

References 0 publications

Perbandingan Metode Klasifikasi Dalam Analisis Sentimen Masyarakat Terhadap Identitas Kependudukan Digital (Ikd)

Perbandingan Metode Klasifikasi Dalam Analisis Sentimen Masyarakat Terhadap Identitas Kependudukan Digital (Ikd)

Prediksi Penerimaan SNMPTN Menggunakan Algoritma C4.5 Dan Naive Bayes

Analysis of the Application of Transaction Data with Association Techniques using the Apriori Algorithm in Pharmacy

Contact Info

Product

Resources

About