Aa. Kurniawan
Universitas Pamulang

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IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN DALAM SELEKSI PENERIMAAN CALON SNBP SISWA DI MAN 5 BOGOR DENGAN METODE ELECTRE BERBASIS WEB Mutiara Maharani Hasyim; Aa. Kurniawan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10295

Abstract

Penelitian ini bertujuan merancang dan mengembangkan Sistem Pendukung Keputusan (SPK) berbasis web internal dengan metode ELECTRE untuk seleksi calon peserta SNBP di MAN 5 Bogor. Penelitian ini dilatarbelakangi oleh ketergantungan sekolah pada sistem PDUM eksternal yang membatasi pengolahan data akademik secara mandiri. Sistem dikembangkan menggunakan metode Prototype dengan PHP dan MySQL, serta pengumpulan data melalui wawancara dan studi literatur. Metode ELECTRE diterapkan dengan mengevaluasi empat kriteria akademik: nilai rata-rata rapor semester 1–5, konsistensi nilai, serta dua mata pelajaran pendukung program studi. Sistem ini menghasilkan pemeringkatan dan rekomendasi yang dapat diakses oleh guru dan siswa. Hasil pengujian black-box menunjukkan seluruh fitur berfungsi dengan baik dan valid. SPK ini berhasil menyediakan solusi seleksi yang objektif, transparan, dan dapat dikelola secara mandiri oleh pihak sekolah.
Sistem Pendukung Keputusan Penentuan Tenaga Kesehatan Teladan Menggunakan Metode Moora Berbasis Web : Studi Kasus: Puskesmas Kosambi Adih Adih; Aa. Kurniawan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 6 No. 2 (2026): Agustus : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v6i2.7334

Abstract

Performance assessment is an important factor in producing high-quality exemplary health workers. Objective and accurate assessment is essential to select the best candidate. Based on data collected through interviews at the Kosambi Public Health Center, the data recapitulation process for 35 employees is still done manually using simple tools. The absence of a specific system makes the assessment susceptible to subjectivity bias and time-consuming, resulting in suboptimal decisions. To solve these problems, a decision support system was developed to determine the exemplary health worker using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method based on five criteria: discipline, responsibility, ethics, SKP, and length of service. This system is implemented in a web-based application using the PHP programming language and MySQL database. The results of this study facilitate the agency in determining the exemplary health worker quickly and accurately. This is evidenced by the User Acceptance Testing (UAT) results using a questionnaire with a feasibility percentage of 82.74%. Based on the final calculation using the MOORA method on 35 employees, three best exemplary health workers were recommended, namely dr. Anis Julianti in the first rank with a final score of 0.21852, followed by drg. Fitriyani Z in the second rank with a score of 0.21007, and dr. Viedya Wildan in the third rank with a score of 0.20976.