Rancang Bangun Sistem Rekomendasi Kenaikan Pangkat Dosen Berbasis Aturan

Abadi, Miranti (2015) Rancang Bangun Sistem Rekomendasi Kenaikan Pangkat Dosen Berbasis Aturan. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dosen adalah seorang pendidik profesional dan ilmuwan dengan tugas utama metransformasikan, mengembangkan, dan menyebarluaskan ilmu pengetahuan, teknologi, dan seni melalui pendidikan, penelitian, dan pengabdian kepada masyarakat. Selama menjalankan tugasnya, dosen memperoleh nilai (angka kredit) yang akan digunakan untuk proses kenaikan pangkat. Berdasarkan Peraturan Menteri Pendayagunaan Aparatur Negara dan Reformasi Birokrasi Nomor 17 Tahun 2013, perhitungan angka kredit kumulatif 90% diperoleh dari unsur utama dan 10% dari unsur penunjang. Permasalahan yang sering dialami oleh dosen saat pengajuan kenaikan pangkat adalah sulitnya mendapatkan informasi mengenai persyaratan kenaikan pangkat dan angka kredit yang harus dipenuhi. Guna menyelesaikan masalah tersebut, maka dibuat sebuah sistem informasi berbasis aturan yang dapat memberikan rekomendasi bagi dosen yang akan mengajukan kenaikan pangkat. Rekomendasi yang akan diberikan berupa angka kredit beserta syarat kenaikan pangkat. Dengan menggunakan metode forward chaining, fakta dibandingkan dengan seluruh rule yang berjumlah 82. Jika hasil perbandingan sesuai, maka sistem akan menghasilkan implikasi baru yang digunakan untuk memberikan rekomendasi kenaikan pangkat berdasarkan peraturan kenaikan pangkat yaitu PERMENPAN dan RB 2013 ===================================================================================================== Lecturer is a professional educator and scientist who has a main task to transform, develop, and disseminate science, technology, and the arts through education, research, and community service. During their duties, lecturers obtain values (number of credits) which will be used for the promotion of their employment. Based on the Regulation of the Minister of Administrative Reform and Bureaucratic Reform No. 17 of 2013, the calculation of cumulative credit rate of 90% was obtained from the major elements and 10% was obtained from the supporting elements. The problems that often experienced by lecturers when filing a promotion requirements is the difficulty of getting informations of the requirements and the number of credits that must be fulfilled. In order to resolve these problems, a rule-based information systems which can provide recommendations for lecturers who will be submitting a promotion were invented. The recommendations will be given in the form of credit score along with the requirements of the promotion. By using forward chaining method, the fact will be compared with the rest of the rule which amounted to 82. If the result of the comparison match, the system will generate a new implications that will be used to provide recommendations based on the promotion rules in PERMENPAN and RB 2013.

Item Type: Thesis (Undergraduate)
Additional Information: RSIf 005.43 Aba r
Uncontrolled Keywords: Kenaikan Pangkat Dosen, Rule Based System, nRekomendasi, Forward Chaining
Subjects: Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science)
Divisions: Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 15 May 2018 04:26
Last Modified: 15 May 2018 04:26
URI: https://repository.its.ac.id/id/eprint/51873

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