Data Kategorik dalam Penelitian:  Review Bibliometrik

Ardiansyahroni, Ardiansyahroni; Tjalla, Awaludin; Mahdiyah, Mahdiyah

doi:10.58258/jime.v9i1.4814

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data ordinal merupakan data yang memiliki urutan atau tingkatan tertentu. Biasanya urutan ini dapat berupa dari yang terendah hingga tertinggi atau sebaliknya [11].…”

Section: Encoding Categorical Dataunclassified

Classification of Vocational High School Graduates' Ability in Industry Using Extreme Gradient Boosting (Xgboost), Random Forest, and Logistic Regression

Agustiningsih,

Findawati,

Alnarus Kautsar

2023

J. Tek. Inform. (JUTIF)

View full text Add to dashboard Cite

The education world is one of the main sources in producing Human Resources. Vocational High School (SMK) is one level of school that presents various majors that are ready to compete in the industrial world. Therefore, a school institution needs to have a system to determine the quality of education provided to students so that they can compete in the industrial world. This study designs a system that is capable of classifying SMK student graduates as an evaluation for the school institution. The goal is to enable the school to devise strategies for producing better student quality in the following year. There are four classes in this study, namely those who work, those who are not working yet, those who are in college, and those who are entrepreneurs. There are several stages in building the classification system, including pre-processing, processing, and evaluation. This research uses three machine learning algorithms, namely XGBoost, Random Forest, and Logistic Regression. The results of the three methods obtained a training score of 91.70%, a test score of 66.88%, and an accuracy score of 67% generated by the XGBoost algorithm. The Random Forest algorithm produced a training score of 97.36%, a test score of 68.71%, and an accuracy score of 67%. Meanwhile, Logistic Regression produced a training score of 51.14%, a test score of 50.43%, and an accuracy score of 50%.

show abstract

“…Data ordinal merupakan data yang memiliki urutan atau tingkatan tertentu. Biasanya urutan ini dapat berupa dari yang terendah hingga tertinggi atau sebaliknya [11].…”

Section: Encoding Categorical Dataunclassified

Classification of Vocational High School Graduates' Ability in Industry Using Extreme Gradient Boosting (Xgboost), Random Forest, and Logistic Regression

Agustiningsih,

Findawati,

Alnarus Kautsar

2023

J. Tek. Inform. (JUTIF)

View full text Add to dashboard Cite

show abstract

“…Kajian ini menggabungkan dua jenis kaedah analisis data; deskriptif statistik dan analisis bibliometrik. Statistik deskriptif digunakan untuk menggambarkan ciri-ciri, kuantiti dan trend penulisan secara holistik, sementara analisis bibliometrik bagi menggambarkan secara spesifik latar belakang setiap bahan penulisan (Ardiansyahroni, Tjalla, & Mahdiyah, 2023;Nazidah, Kafii, & Admoko, 2022;Patty, Iriyani, Marlina, Ria, & Ardiyati, 2023). Data-data diklasifikasikan mengikut jenis penerbitan, tahun penerbitan, bidang atau tema penulisan, bahasa penulisan, bilangan penulis, lokasi penerbit, dan jumlah keseluruhan…”

Section: Metodologi Kajianunclassified

Penulisan dan kajian berkaitan Tuan Guru Nik Abdul Aziz Nik Mat (1931-2015): Analisis bibliometrik sepanjang tiga dasawarsa

Nasir,

Hasan,

Mat Ali

et al. 2023

IJICI

View full text Add to dashboard Cite

Scholars play a significant role in a community so that they can form a knowledgeable, virtuous, and civilised society. The spread of Islam and intellectual interweaving from the Middle East had a positive impact until the emergence of authoritative scholars in the archipelago. Among the Nusantara scholars was Tuan Guru Nik Abdul Aziz Nik Mat (TGNA), an influential scientist who played a major role in the fields of science, preaching, education, administration, and politics. His vast influence across so many fields has attracted the interest of many scholars to study his life and his legacy. This paper aims to identify writings and studies related to TGNA over three decades, from the 1980s to the 2000s. The methodology used was based on bibliometric analysis methods for writing and research, whether in the form of theses, dissertations, books, or scientific articles. These data were obtained from databases of scholarly articles and libraries, and the website of the Tuan Guru Nik Abdul Aziz Nik Mat Institute of Thought (TPTG). The results found that studies and literature about TGNA have been written since the late 1980s and are still being written until now. Up to the time that the present study was conducted, a total of 131 writings and studies about TGNA had been presented in Malay and English, and published locally or abroad. The findings of this study can provide a general overview of the current writing and research trends about TGNA and the direction of future research related to it.

show abstract

Data Kategorik dalam Penelitian: Review Bibliometrik

Cited by 2 publications

References 0 publications

Classification of Vocational High School Graduates' Ability in Industry Using Extreme Gradient Boosting (Xgboost), Random Forest, and Logistic Regression

Classification of Vocational High School Graduates' Ability in Industry Using Extreme Gradient Boosting (Xgboost), Random Forest, and Logistic Regression

Penulisan dan kajian berkaitan Tuan Guru Nik Abdul Aziz Nik Mat (1931-2015): Analisis bibliometrik sepanjang tiga dasawarsa

Contact Info

Product

Resources

About