Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Blend Sains Jurnal Teknik Hanif Journal of Information Systems
Nasution, Perdinal
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemanfaatan Fasilitas Google dalam Perkuliahan di Fakultas Teknologi Informasi Sari, Indah Purnama; Syafii, Rahmad; Lbs, Dimas Frayoga; Setyadi, Ariyo; Nasution, Perdinal
Blend Sains Jurnal Teknik Vol. 1 No. 2 (2022): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.375 KB) | DOI: 10.56211/blendsains.v1i2.70

Abstract

Pada perkuliahan kita sudah familiar dengan fasilitas jaringan internet. Sudah tentu juga familiar dengan mesin pencari google. Tetapi kita jarang menggunakan fasilitas-fasilitas lainnya yang ada, yang ternyata sangat membantu dalam kegiatan perkuliahan. Perusahaan Google dengan cerdas mengintegrasikan sebagian besar fungsi-fungsi pengolahan data administratif dalam aplikasinya, seperti mail, drive, document, spreadsheet, slide dan form. Produkproduk tersebut dapat kita maksimalkan untuk efisiensi dan efektifitas perkuliahan. 
Application of Data Mining to Determine the Performance of Family Planning Field Officers (PLKB) Using the C4.5 Algorithm Nasution, Perdinal; Azhari, Mulkan
Hanif Journal of Information Systems Vol. 3 No. 1 (2025): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v3i1.52

Abstract

The effectiveness of family planning programs is closely related to the performance of Family Planning Field Officers (PLKB). Conventional performance evaluation methods often rely on manual assessments, which may lead to subjectivity and inconsistency. To overcome this issue, data mining techniques can be applied to analyze performance data systematically and objectively. This study employs the C4.5 decision tree algorithm to classify and evaluate the performance of PLKB. The dataset used in this research includes several indicators, such as service coverage, counseling frequency, reporting accuracy, and community participation. Prior to model construction, data preprocessing was performed to handle missing values and normalize attributes. The model performance was evaluated using accuracy, precision, recall, and F-measure. The findings indicate that the C4.5 algorithm successfully classified PLKB performance into three categories: high, medium, and low. The model achieved an accuracy of [insert % if available], demonstrating its effectiveness in identifying key determinants of officer performance. Moreover, the decision tree generated interpretable rules that highlight the most influential attributes affecting PLKB performance. The application of data mining using the C4.5 algorithm provides an objective and efficient method for evaluating PLKB performance. This approach not only enhances decision-making for supervision and training but also contributes to the improvement of family planning program implementation. Future research is suggested to compare the C4.5 algorithm with other classification methods to achieve higher accuracy and generalizability.
Co-Authors Hapzi Ali Lbs, Dimas Frayoga Mulkan Azhari Setyadi, Ariyo Syafii, Rahmad