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All Journal Jurnal Komputer Terapan Jurnal TAM (Technology Acceptance Model) International Journal Engineering and Applied Technology (IJEAT)
Dudih Gustian
Nusa Putra University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode Analytical Hierarchy Process Dudih Gustian; Maryam Nurhasanah; Muhammad Arip
Jurnal Komputer Terapan  Vol. 5 No. 2 (2019): Jurnal Komputer Terapan November 2019
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.08 KB) | DOI: 10.35143/jkt.v5i2.3336

Abstract

The recruitment process is one of the routine activities undertaken by a company in fulfilling one of its targets and achievements. Therefore objective, transparent and professional recruitment process must be done for the fulfillment of human resources that comply with the required criteria. But this is sometimes not in accordance with expectations so that the company feels difficulties in placing employees as needed. This study used the Analytical Hierarchy Process method with several criteria including written test results, interviews, soft skills, Experience and Grooming. This research provides solutions for companies to facilitate the process of decision making precisely with the availability of accurate prospective employee data information, in order to comply with the criteria that the company needs, and can Subjeciating the recruitment process. The benefits are expected to get the criteri according to the needs of the company, and the selection of employees faster and precise in decision making on the destruction. This study resulted that by this method helps management in the process of selection of employees objectively with values of 0.21231, 0.21055, 0.21020, 0.18829 and 0.17865, which are tested from 5 new program candidates.
SISTEM KEPUTUSAN PENILAIAN KINERJA KARYAWAN DENGAN MENGGUNAKAN METODE ANALITICAL HIERRACY PROCESS Dudih Gustian; Ade Bahrum; Sudin Saepudin
Jurnal TAM (Technology Acceptance Model) Vol 9, No 2 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.229 KB)

Abstract

Penilaian kinerja adalah proses di mana organisasi mengevaluasi pelaksanaan pekerjaan individu.  Selain itu penilaian kinerja dapat dibuat untuk memberikan informasi tentang promosi dan penentuan gaji suatu karyawan.  Penelitian ini dilakukan di Puskesmas Kesehatan Kadudampit sebagai salah satu fungsi pelayanan kesehatan.  Terdapat masalah kualitas kerja karyawan dilapangan yaitu tidak stabilnya kinerja karyawan tiap bulan disebabkan karena kurangnya pengawasan yang tidak maksimal sehingga dapat berdampak pada pelayanan kepada masyarakat. dalam menerima pelayanan pada puskesmas.  Penelitian ini menggunakan metode Analytical Hierarchy Process  yang  menghasilkan suatu keputusan yang lebih objektif dengan pemberian nilai pada setiap kriteria kriteria yang telah ditentukan  dan mendapatkan hasil dari penilaian dengan nilai sikap 2.3446, kedisiplinan 0/860, kehadiran 0.820 dan 0.549.  Sistem yang dibuat berbasis website diuji dengan metode Software Quality Assurance dengan menggunakan 5 orang user secara acak mendapatkan nilai rata – rata 81.   Artinya bahwa hasil pengujian ini dapat diterima oleh pihak pengguna dalam melakukan proses penilaian kinerja karyawan. 
COMPARISON C4.5 AND NAÏVE BAYES METHODS BASED ON PARTICLE SWARM OPTIMIZATION IN LEVELS OF DROP OUT STUDENTS dudih gustian; Faridatun Ni’mah; Agus Darmawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 2 No. 2 (2019): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v2i2.19

Abstract

The high percentage of drop-out students causes a campus management problem, this is because the percentage of students graduating on time is one of the elements of accreditation assessment set by the national accreditation board of higher education. One reason why the drop out rate is still high is because the Management System has not run well, such as lecturer professionalism, campus facilities, academics and administration, student affairs, outside influence and student personality. This study aims to analyze several indicators that can cause student drop outs by comparing the C4.5 method based on particle swarm optimization and Naïve Bayes based on PSO. This study contributes to campus management in anticipating the occurrence of drop outs through indicators that occur and can predict student drop out rates through the classification process. The highest level of accuracy produced from C4.5 + PSO is around 99.32% with AUC from Naïve Bayes is 0.974 categorized as excellent classification.
Broken Road Detection Methods Comparison: A Literature Survey Indra Yustiana; Somantri; Dudih Gustian; Anggy Pradifta Junfithrana; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.75

Abstract

Roads are infrastructure built to facilitate regional development. Good road conditions will certainly provide a sense of comfort for every vehicle that will pass through it. For that, care and attention to road conditions needs to be done. The occurrence of damage to the road will hinder the development process. Currently, detection of damaged roads is still done manually using human resource. It makes the detection process take quite a lot of time to determine how bad the damage is. So there needs a way to help improve time efficiency and accuracy in detecting damaged roads. One of them is by utilizing machine learning technology. In this paper, we will discuss what methodology can be use and their comparisons to be able to use appropriate and effective methodologies to detect cases of damaged roads
Co-Authors Ade Bahrum Anggy Pradiftha Junfithrana Faridatun Ni’mah Indra Yustiana Maryam Nurhasanah Muhammad Arip Saepudin, Sudin Satish Kumar Damodar Somantri Somantri Yofita Sandra, S.Pd., M.Pd., Zico Farlin, Dr. Budiwirman, M.Pd.,