Nurul Rohmawati, Nurul
Universitas Singaperbangsa Karawang

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

K-Medoid Algorithm in Clustering Student Scholarship Applicants Defiyanti, Sofi; Jajuli, Mohamad; Rohmawati, Nurul
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8212

Abstract

Data Grouping scholarship applicants Bantuan Belajar Mahasiswa (BBM) grouped into 3 categories entitled of students who are eligible to receive, be considered, and not eligible to receive scholarship. Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. This technique can group data is student scholarship applicants. The purpose of this study was to measure the performance of the algorithm, this measurement in view of the results of the cluster by calculating the value of purity (purity measure) of each cluster is generated. The data used in this research is data of students who apply for scholarships as many as 36 students. Data will be converted into three datasets with different formats, namely the partial codification attribute data, attributes and attribute the overall codification of the original data. Value purity on the whole dataset of data codification greatest value is 91.67%, it can be concluded that the K-Medoids algorithm is more suitable for use in a dataset with attributes encoded format overall. 
K-Medoid Algorithm in Clustering Student Scholarship Applicants Defiyanti, Sofi; Jajuli, Mohamad; Rohmawati, Nurul
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8212

Abstract

Data Grouping scholarship applicants Bantuan Belajar Mahasiswa (BBM) grouped into 3 categories entitled of students who are eligible to receive, be considered, and not eligible to receive scholarship. Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. This technique can group data is student scholarship applicants. The purpose of this study was to measure the performance of the algorithm, this measurement in view of the results of the cluster by calculating the value of purity (purity measure) of each cluster is generated. The data used in this research is data of students who apply for scholarships as many as 36 students. Data will be converted into three datasets with different formats, namely the partial codification attribute data, attributes and attribute the overall codification of the original data. Value purity on the whole dataset of data codification greatest value is 91.67%, it can be concluded that the K-Medoids algorithm is more suitable for use in a dataset with attributes encoded format overall.
K-Medoid Algorithm in Clustering Student Scholarship Applicants Defiyanti, Sofi; Jajuli, Mohamad; Rohmawati, Nurul
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8212

Abstract

Data Grouping scholarship applicants Bantuan Belajar Mahasiswa (BBM) grouped into 3 categories entitled of students who are eligible to receive, be considered, and not eligible to receive scholarship. Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. This technique can group data is student scholarship applicants. The purpose of this study was to measure the performance of the algorithm, this measurement in view of the results of the cluster by calculating the value of purity (purity measure) of each cluster is generated. The data used in this research is data of students who apply for scholarships as many as 36 students. Data will be converted into three datasets with different formats, namely the partial codification attribute data, attributes and attribute the overall codification of the original data. Value purity on the whole dataset of data codification greatest value is 91.67%, it can be concluded that the K-Medoids algorithm is more suitable for use in a dataset with attributes encoded format overall. 
Perbandingan Penggunaan Phyton dan Excel dalam Menyelesaikan Persamaan Tak Linier Metode Newton Raphson Rohmawati, Nurul; Inayah, Istiqomah Sarah Nur; Wibowo, Ari
Numerical: Jurnal Matematika dan Pendidikan Matematika VOL. 9 NO. 1 (2025)
Publisher : Universitas Ma'arif Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v9i1.5798

Abstract

Persamaan tak linier sering dijumpai dalam berbagai bidang, seperti fisika, teknik, dan ekonomi. Salah satu metode numerik yang sering digunakan untuk mencari akar dari persamaan tak linier adalah metode Newton-Raphson. Dengan kemajuan teknologi, berbagai perangkat lunak kini digunakan untuk mempermudah perhitungan numerik. Dalam konteks alat yang digunakan untuk analisis data, perbandingan antara Python dan Microsoft Excel telah menjadi bahan diskusi. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan metode komparatif untuk menganalisis perbedaan hasil antara objek yang dibandingkan serta mengetahui mana yang lebih efektif dan efisien. Hasil penelitian menunjukkan bahwa Python lebih unggul dalam hal akurasi hasil, automasi iterasi, kecepatan perhitungan, fleksibilitas perubahan fungsi, reproduksibilitas, dan skalabilitas. Namun, Python memerlukan pengetahuan pemrograman dan kurang user-friendly bagi pemula. Sedangkan alat bantu Microsoft Excel lebih unggul dalam hal kemudahan penggunaan dan kompatibilitas dengan software Microsoft, tetapi kurang cocok untuk masalah yang kompleks atau memerlukan banyak iterasi. Microsoft Excel juga rentan terhadap kesalahan manual dan kurang skalabel.
COKEK SEBAGAI PENGARUH PENETRATION PASIPIQUE ETNIS TIONGHOA DI BETAWI Rohmawati, Nurul
Jurnal Budaya Etnika Vol. 2 No. 1 (2018): Kreativitas Tradisi di Era Globalisasi: Transformasi & Peluang
Publisher : Institute of Indonesia Arts and Culture (ISBI) Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26742/be.v2i1.1151

Abstract

ABSTRACT Tionghoa ethnic becomes part of the formation of the Betawi community which also plays a role in the assimilation of Betawi culture. Cokek art is one of the results of the assimilation which is also part of the Betawi culture. The forms and functions of Cokek art that change from time to time are also influenced by the policies of the Jakarta City Government and the people who oppose them.The community does not only need to know about the changes in the shape and function of Cokek art from time to time, but also need to know how the cokek becomes part of the Betawi culture. This is related to the way in which new elements of culture enter the Betawi society from the standpoint of social anthropology.Based on the use of descriptive qualitative methods with interpretive points of view in the study, it is known that cokek is a penetration influence of Tionghoa ethnic pasipique in Betawi. Key words: Cokek, Penetration Pasipique, Tionghoa Ethnic, Betawi.  ABSTRAK Etnis Tionghoa turut menjadi bagian dari pembentukan masyarakat Betawi yang juga berpe­ran dalam asimilasi kebudayaan Betawi itu sendiri. Kesenian cokek merupakan salah satu hasil asimi­lasi tersebut yang juga menjadi bagian dari kebudayaan Betawi. Adapun bentuk dan fungsi kesenian Cokek yang berubah dari waktu ke waktu turut dipengaruhi oleh kebijakan pemerintah Kota Jakarta dan masyarakat penyanggahnya.Masyarakat tak hanya perlu mengetahui tentang perubahan bentuk dan fungsi kesenian Cokek dari waktu ke waktu, tetapi juga perlu diketahui cara Cokek menjadi bagian dari kebudayaan Betawi. Hal ini berhubungan dengan cara masuknya unsur kebudayaan baru dalam masyarakat Betawi dari sudut pandang antropologi sosial.Berdasarkan pemanfaatan metode kualitatif deskriptif dengan sudut pandang interpretif dalam penelitian, diketahui bahwa Cokek sebagai pengaruh penetration pasipique etnis Tionghoa di Betawi. Kata Kunci: Cokek, Penetration Pasipique, Etnis Tionghoa, Betawi.