Pola peminjaman buku di perpustakaan Universitas Syiah Kuala menggunakan Algoritma Eclat

Subianto, Muhammad; Ar, Fitriana; Hijriyana, P Meildha

doi:10.22146/bip.32089

Cited by 7 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Naïve Bayes Classifier emphasizes probability estimation with the benefit that the classification will get a smaller error value when the data is large. Naïve Bayes Classifier is based on the simplifying assumption that attribute values are conditionally independent of each other when given values [21]. According to Prasetyo [22], the Naïve Bayes Classifier for classification has the following formula…”

Section: Naïve Bayes Classifiermentioning

confidence: 99%

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

Astrianka,

Efendi

2024

AJPAS

View full text Add to dashboard Cite

Aims: This research aims at grouping of cities/regencies on the island of Java, where the central government as well as the most densely populated island in Indonesia, using linear discriminant analysis (LDA) and Naïve Bayes Classifier (NBC). Study Design: Quantitative design. Place and Duration of Study: Sample: The data used in this study is secondary data from the Indonesian Central Statistics Agency (Badan Pusat Statistik, BPS) regarding the 2022 Human Development Index (HDI) from 119 cities/regencies on the island of Java. The data used are four HDI indicators as independent variables (long and healthy living, knowledge, and the dimensions of decent living standards) and the HDI value as the dependent variable. Methodology: The grouping was carried out using LDA and NBC. LDA is a type of multivariate analysis used in the dependency method where the relationship between variables can be distinguished between the independent variable and the dependent variable. It aims at obtaining discriminant function equations to group cases into certain groups and to determine differences between groups based on independent variables. Meanwhile, the NBC method is a simple probability-based prediction technique based on the application of Bayes' theorem (Bayes' rule) with a strong assumption of independence. Results: Both LDA and NBC can be used for prediction and classification. Based on the results of the discriminant analysis, three discriminant functions were formed to group cities/regencies on the island of Java into three HDI groups. In the NBC analysis, the prior probability value for the very high category HDI group was 0.211, the high category HDI group was 0.606, and the medium category HDI group was 0.183. The research results show that LDA is better than the NBC for grouping cities/regencies based on the 2022 HDI indicators with an accuracy rate of 72.92%. Meanwhile, the NBC analysis only provides an accuracy of 64.58%. Three discriminant functions have been obtained to group cities/regencies on the island of Java based on the largest discriminant score where life expectancy makes the largest contribution in distinguishing each group. Conclusion: As a result, in this case LDA is a better classification method than the NBC. It is also of important to note medium class regions for further actions from stakeholders.

show abstract

Section: Naïve Bayes Classifiermentioning

confidence: 99%

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

Astrianka,

Efendi

2024

AJPAS

View full text Add to dashboard Cite

show abstract

“…c. Aspek Estetika Aspek estetika berkaitan dengan keindahan dalam penataan ruangan yang berasal dari perabot yang digunakanpun masih belum terlalu sesuai dengan kondisi ruang yang tersedia, sehingga membuat ruang menjadi lebih sempit. d. Aspek Keamanan Sumber Referensi Keamanan bahan pustaka dapat dikelompokkan ke dalam dua bagian (Suwarno 2011) yaitu; pertama, faktor keamanan bahan pustaka yang disebabkan oleh keruskan secara alamiah, kedua, faktor kerusakan yang diakibatkan oleh ulah manusia. Oleh karena itu, aspek keamanan sumber referensi ini menjadi pertimbangan penting bagi sebuah perpustakaan.…”

Section: Hasil Dan Pembahasanunclassified

Analisis tata ruang layanan referensi di Perpustakaan Daerah Kota Payakumbuh

Afrina¹,

Nabhila²,

Putri³

2022

ktb

View full text Add to dashboard Cite

This study discuss how the spatial layout of the reference service owned by the Regional Library of Payakumbuh ca be used as an analysis of the spatial layout of reference service from other regional libraries. For the analysis of the spatial layout itself, it can be seen from how the placement of the room by the Payakumbuh local library is to increase the quality of the reference services they already have. In this study, researchers used qualitative research methods by conducting field observations. From the result of the study, it can be shown that the layout of the reference services in the Regional Library of Payakumbuh City can be said to be inadequate because the layout is still joined with other services such as children’s services, nursing mothers’ rooms, and IT rooms. Therefore, the users who come to this reference service room feel uncomfortable because the size of the room is 5x6 meters. The lack of facilities in the Payakumbuh Regional library is because the building is still joined by other agencies, namely the tourism and sports office, and the food security service. Reportedly, in 2024, this library will become its building and will longer be affiliated with the government agency. It’s hoped that with this good news that will be carried out by the regional library of the city of payakumbuh, the layout of the reference service will become wider in size and will no longer be combined with other services. Therefore, the purpose of this reference service is to make it easier for users to search or search for information.

show abstract

“…Support (nilai penunjang) adalah persentase kombinasi item tersebut dalam database, sedangkan confidence (nilai kepastian) adalah kuatnya hubungan antar-item dalam aturan asosiasi [8]. Analisis asosiasi atau association rule mining adalah teknik data mining untuk menemukan aturan asosiasi antara suatu kombinasi item [9].…”

Section: Metode Penelitianunclassified

Efforts to Increase New Student Promotion at STIE-Graha Karya Muara Bulian Using the Apriori Algorithm Method

Anas¹

2021

JVEIT

View full text Add to dashboard Cite

The purpose of this study is to determine the STIE-GK Muara Bulian promotion strategy. The author uses a priori algorithm to analyze the data of new students of STIE-GK Muara Bulian in the academic year 2018/2019. A priori algorithm was chosen because of its ability to analyze data that appears simultaneously and repeatedly and data that has accumulated a long time, so it is necessary to use data mining, to gain knowledge. The data that I use is the data of new students STIE-GK Muara Bulian randomly as many as 100. The research method that I use is to manually calculate data then a trial of the Weka data mining software is conducted. The results of this study indicate, partially Vocational High School and TKJ majors are the most contributors to new students with a confidence level of 13%. The SMK and ADM majors are the second largest contributor to new students with a confidence level of 10%. The management study program comes from the TKJ major with a confidence level of 7%. The accounting study program comes from the TKJ major with a confidence level of 5%.

show abstract

Pola peminjaman buku di perpustakaan Universitas Syiah Kuala menggunakan Algoritma Eclat

Cited by 7 publications

References 3 publications

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

Analisis tata ruang layanan referensi di Perpustakaan Daerah Kota Payakumbuh

Efforts to Increase New Student Promotion at STIE-Graha Karya Muara Bulian Using the Apriori Algorithm Method

Contact Info

Product

Resources

About