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Sistem Pendukung Keputusan Evaluasi Kinerja Dosen Metode SAW Berbasis Data Akademik dan Umpan Balik Mahasiswa: Decision Support System for Lecturer Performance Evaluation Using the SAW Method Based on Academic Data and Student Feedback Dzakiyyah, Syifa Ghina; Yani, Putri; Hikmah, Maulida; Triyono, Gandung
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2787

Abstract

Evaluasi kinerja dosen di institusi pendidikan tinggi kerap terkendala oleh penilaian yang subjektif dan multikriteria. Penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) untuk mengagregasi parameter yang heterogen secara objektif. Sistem ini mengintegrasikan data akademik internal (kehadiran dan publikasi ilmiah) dengan data umpan balik dari 286 mahasiswa (kualitas pengajaran dan penguasaan materi). Bobot setiap kriteria ditentukan melalui pendekatan Rank Order Centroid (ROC). Hasil pengujian terhadap 50 alternatif dosen menunjukkan sistem berhasil melakukan pemeringkatan dengan presisi, di mana aspek kualitas pengajaran dan produktivitas riset teridentifikasi sebagai faktor penentu utama (performance drivers). Keandalan model ini kemudian divalidasi dengan membandingkan luaran sistem terhadap expert judgment (penilaian holistik Ketua Program Studi) menggunakan 20 sampel uji. Evaluasi tersebut membuktikan sistem memiliki tingkat kesesuaian (Agreement Rate) sebesar 95% dalam mengidentifikasi dosen berkinerja tinggi, sehingga sangat layak diimplementasikan sebagai dasar pengambilan keputusan strategis bagi manajemen.
Analisis Kesalahan Konstruksi Sintaksis: Diferensiasi Frasa dan Kata Majemuk dalam Berita Daring Hidayati, Nurul; Aini, Nur; Pitri Karlina; Yani, Putri; Nursaly, Baiq Rismarini
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Completed
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.60796

Abstract

Online media often writes word combinations inconsistently, blurring the distinction between phrases and compound words and potentially causing semantic ambiguity. This study aims to describe the forms of syntactic construction errors resulting from the failure to distinguish between phrases and compound words, as well as to explain the linguistic factors causing such issues. A descriptive qualitative method with a structural linguistic approach was applied, using techniques of direct element analysis, insertion test, expansion test, and substitution test. The data consisted of four news articles from the national news portal detikcom, published 5–7 July 2026. The results revealed a tendency toward noun stacking and interference from foreign terms adopted directly without syntactic editing. In contrast, compound words referring to standard legal and bureaucratic terms tended to be structurally stable and error-free. The findings are expected to serve as a reference for developing syntax teaching materials based on real language error analysis in mass media.