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All Journal Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Jurnal Matematika Integratif
Syarifah Inayati
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

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Workshop on Comparative analysis of k populations with Non Parametric for Research in Social Sciences and Education Rosita Kusumawati; Dhoriva Urwatul Wutsqa; Kismiantini Kismiantini; Syarifah Inayati; Muhammad Fauzan; Ezra Putranda Setiawan; Bayutama Isnaini
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol 6, No 2 (2022): Vol 6, No 2 (2022)
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v6i2.46055

Abstract

Data obtained from social science and education research is often in the form of categorical data, namely nominal or ordinal. This makes the parametric approach less appropriate for use in some social science and education data. One solution is to use a nonparametric approach. This underlies the holding of community service activities in a workshop on comparison analysis of k population with a nonparametric approach for social science research and education. Participants in this workshop consisted of academics and practitioners, and students from various study programs in Indonesia. The workshop was carried out by providing material and demonstrating using R software as an analytical tool, which was held online for two days. On the first day, the material presented was a nonparametric approach to the comparison of k independent populations along with a demonstration of using R software, while for k dependent populations along with a demonstration of using R software was given on the second day. Participants were given data on social sciences and education in providing materials and demos of the R software. Based on the results of questionnaires, observations, and questions and answers, participants seemed enthusiastic in participating in the R software's material and demo sessions. In addition, participants can perform various tests in a nonparametric approach for k independent and dependent populations using the R software. Participants can also provide an accurate interpretation of the output of the R software.
Penyelesaian Masalah Optimisasi Multiobjektif Nonlinear Menggunakan Pendekatan Pareto Front dalam Metode Pembobotan Syarifah Inayati; Rahmawati Rahmawati
Jurnal Matematika Integratif Vol 16, No 2: Oktober 2020
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.66 KB) | DOI: 10.24198/jmi.v16.n2.29278.139-149

Abstract

Teori optimisai merupakan salah satu disiplin ilmu matematika yang banyak diterapkan dalam dunia nyata. Hampir semua masalah optimisasi di dunia nyata memiliki banyak fungsi objektif (multiobjektive) yang harus dipenuhi secara simultan dan seringkali fungsi-fungsi tersebut saling bertentangan. Permasalahan optimisasi yang ada dapat berbentuk linier dan non linier. Penelitian ini akan membahas secara teoritis mengenai permasalahaan multiobjektif nonlinear. Solusi optimal dari masalah tersebut tidak akan didapatkan solusi optimum tunggal, tapi berupa kumpulan solusi alternatif. Kumpulan solusi tersebut disebut himpunan Pareto optimal atau Pareto front. Himpunan Pareto optimal tersebut berkorespondensi dengan Pareto-optimal front. Jika Pareto-optimal front tersebut konveks, maka solusi masalah ini dapat diselesaikan dengan metode pembobotan (weighted sum method).
Co-Authors Bayutama Isnaini Dhoriva Urwatul Wutsqa Ezra Putranda Setiawan Kismiantini Kismiantini Muhammad Fauzan Rahmawati Rosita Kusumawati