Pratama, Muhammad Yoga (2025) Analisis pola keberhasilan sertifikasi bagi jabatan fungsional arsiparis secara nasional menggunakan metode k-means clustering dan regresi random forest = analysis of the successful pattern of certification for archivist functional positions nationally using the k-means clustering and random forest regression method. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Peran Jabatan Fungsional Arsiparis (JFA) sangat penting dalam pengelolaan dan
pelestarian arsip di berbagai institusi dan lembaga. Jabatan Fungsional Arsiparis
bertanggung jawab dalam pengelolaan arsip, termasuk perencanaan, organisasi,
pemilihan, penyimpanan, pemeliharaan, dan pengecekan keaslian serta integritas
arsip. Namun masih banyak Arsiparis yang tidak memahami peran dan tanggung
jawab menjalankan tugasnya. Untuk meningkatkan kompetensi Arsiparis di
Indonesia, dibutuhkan Uji Sertifikasi Kompetensi yang meningkatan kualitas dan
mutu Jabatan Fungsional Arsiparis. Dalam pelaksanaannya, banyak JFA yang gagal
dalam uji sertifikasi ini. Dari data hasil Sertifikasi JFA dari tahun 2009 sampai 2023
yang dimiliki ANRI, bisa dianalisis pola keberhasilan JFA dalam uji sertifikasi.
Penggunaan metode algoritma K-Means Clustering mampu mengelompokkan asesi
tanpa definisi kelompok sebelumnya, memungkinkan identifikasi pola yang sulit
dipahami serta memberikan pendekatan analisis yang obyektif. Metode Regresi
Random Forest memberikan wawasan yang mendalam tentang faktor-faktor utama
yang memengaruhi keberhasilan sertifikasi JFA. K-Means menghasilkan tiga
klaster berdasarkan variabel Pangkat, Angkatan, dan Nilai, algoritma ini diterapkan
untuk mengevaluasi hubungan antara variabel independen (Pangkat, Angkatan, dan
Jabatan) dengan Nilai sebagai variabel target. Analisis feature importance
menunjukkan bahwa Pangkat dan Jabatan memiliki pengaruh terbesar terhadap
hasil sertifikasi. Dengan tingkat akurasi sebesar 65,50%, metode ini memberikan
wawasan yang mendalam mengenai faktor-faktor utama yang memengaruhi
keberhasilan sertifikasi. Penelitian ini dapat disimpulkan bahwa analisis pola
keberhasilan sertifikasi JFA secara nasional menggunakan metode k-means
clustering dan regresi random forest dapat berjalan dengan baik. Implikasi
penelitian ini bisa menjadi bahan evaluasi dalam penyelenggaraan sertifikasi JFA. / The role of Functional Archivist Positions (JFA) is crucial in the management and
preservation of archives across various institutions and organizations. JFA is
responsible for archive management, including planning, organizing, selection,
storage, maintenance, and verifying the authenticity and integrity of archives.
However, many archivists still lack an understanding of their roles and
responsibilities in carrying out their duties. To enhance the competence of archivists
in Indonesia, a Certification Competency Test is required to improve the quality and
standards of JFA. In practice, many JFA fail this certification test. Using the
certification data of JFA from 2009 to 2023 provided by ANRI, the patterns of JFA's
success in certification tests can be analyzed. The K-Means Clustering algorithm
effectively groups examinees without predefined groups, enabling the identification
of complex patterns and providing an objective analytical approach. The Random
Forest Regression method offers deep insights into the key factors influencing the
success of JFA certification. K-Means identified three clusters based on the
variables of Rank, Batch, and Score, while Random Forest Regression evaluated
the relationships between independent variables (Rank, Batch, and Job Title) and
Score as the target variable. Feature importance analysis revealed that Rank and Job
Title have the most significant impact on certification outcomes. With an accuracy
rate of 65.50%, this method provides valuable insights into the primary factors
affecting certification success. This study concludes that analyzing the patterns of
JFA certification success nationwide using K-Means Clustering and Random Forest
Regression has proven effective. The implications of this research can serve as an
evaluation tool for improving the JFA certification process.
Item Type: | Thesis (Bachelor) |
---|---|
Creators: | Creators NIM Email ORCID Pratama, Muhammad Yoga NIM01035220023 muhyogapratama25@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Martoyo, Ihan NIDN0318057301 ihan.martoyo@uph.edu |
Uncontrolled Keywords: | Jabatan Fungsional Arsiparis, Uji Sertifikasi Kompetensi, K-Means Clustering, Regresi Random Forest, Analisis Feature Importance, The Functional Position of Archivist, Competency Certification Test, Random Forest Regression, Feature Importance Analysis |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering |
Depositing User: | Magang Input |
Date Deposited: | 22 Apr 2025 01:35 |
Last Modified: | 22 Apr 2025 01:35 |
URI: | http://repository.uph.edu/id/eprint/68152 |