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All Journal Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Jurnal Teknik Informatika (JUTIF)
Dhani Ratna Sari, Dhani Ratna
Magister Teknik Informatika STIMIK AMIKOM Yogyakarta Jl. Ring Road Utara, Condong Catur, Sleman, Yogyakarta 55281
Computer Science & IT Engineering

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SISTEM PENDUKUNG KEPUTUSAN KELOMPOK UNTUK MENENTUKAN DOSEN BERPRESTASI MENGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN COPELAND SCORE (STUDI KASUS: UNIVERSITAS MUHAMMADIYAH PURWOKERTO) Sari, Dhani Ratna; Utami, Ema; Lutfi, Emha Taufiq
Techno Jurnal Ilmu Teknik Vol 15, No 1 (2014): Jurnal Techno April 2014
Publisher : UMP

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Abstract

Penelitian ini bertujuan untuk mengkaji penerapan Sistem Pendukung Keputusan Kelompok (SPKK) untuk menentukan dosen berprestasi di Universitas Muhammadiyah Purwokerto (UMP). Kelompok pengambil keputusan yang terlibat adalah Lembaga Pengkajian dan Pengamalan Al-Islam dan Kemuhammadiyahan (LPPI), Lembaga Penjaminan Mutu (LPM) dan Tim Penilai Angka Kredit (TPAK). Tiap kelompok pengambil keputusan manilai kriteria yang berbeda dan menentukan keputusan alternatifnya masing-masing. Pengambilan keputusan individu menggunakan metode Simple Additive Weighting(SAW) dan agregasi keputusan kelompok menggunakan metode Copeland Score. Hasil penelitian menunjukkan bahwa metode SAW mampu menyeleksi alternatif terbaik dari beberapa alternatif. Data hasil penelitian juga membuktikan bahwa metode Copeland Score dapat digunakan untuk menyatukan hasil keputusan individu dari masing-masing pengambil keputusan.Kata kunci: Sistem pendukung keputusan kelompok, SAW, Copeland Score
ASPECT EXTRACTION OF E-COMMERCE AND MARKETPLACE APPLICATIONS USING WORD2VEC AND WORDNET PATH Sari, Dhani Ratna; Matsaany , Bayun; Hamka, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.726

Abstract

Aspect extraction is an essential element in Aspect-Based Sentiment Analysis (ABSA). Errors in determining aspects of ABSA will result in errors in determining the sentiment of an opinion and the accuracy value of ABSA. This study aims to obtain elements of opinion sentences on using e-commerce applications and marketplaces in Indonesia. Corrections of the statement were sourced from social media Twitter with the keywords "e-commerce" and "marketplace" from August 2020 to January 2022, and a total of 54,244 comments were obtained. Determination of the words that are candidate aspects is selected using POS Tagging for classes of noun singular (NN), noun plural (NNS), proper noun singular (NNP), and proper noun plural (NNPS).
Co-Authors Ema Utami Emha Taufiq Lutfi, Emha Taufiq Matsaany , Bayun Muhammad Hamka