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All Journal Jurnal Sosial Ekonomi Pertanian JUSIFO : Jurnal Sistem Informasi Annual Research Seminar CCIT (Creative Communication and Innovative Technology) Journal Sriwijaya Journal of Informatics and Applications Jurnal Generic Journal of Embedded Systems, Security and Intelligent Systems Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Yunita Yunita
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

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Application of Elimination Et Choix Transduisant La Realita (ELECTRE) in Hotel Selection in Palembang City Fadhlan Jiwa Hanuraga; Yunita Yunita; Nabila Rizky Oktadini
Sriwijaya Journal of Informatics and Applications Vol 4, No 2 (2023)
Publisher : Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/sjia.v4i2.48

Abstract

This study develops software for hotel selection using Elimination Et Choix Transduisant La Realita (ELECTRE). In Elimination Et Choix Transduisant La Realita (ELECTRE) multi-criteria decision-making is based on the concept of Outranking by using paired alternative comparisons based on criteria. The test is carried out by determining the normalization of the decision matrix, weighting the normalized matrix, determining concordance and discordance, calculating the concordance matrix, calculating the discordance matrix, determining the dominant concordance and discordance matrix, determining the aggregate dominance matrix, and eliminating less favorable alternatives. After calculating the Elimination Et Choix Transduisant La Realita, the system was tested using the Technology Acceptance Model (TAM). The test results as measured by the Technology Acceptance Model (TAM) method obtained a value of 87.06% for the use of technology (perceived usefulness) and 85.33% for the ease of use of technology (perceived ease of use).
Penggunaan Sosial Media untuk Pemasaran Produk UMKM Di Desa Burai Erni Purbiyanti; Trisna Wahyu Swasdiningrum Putri; Nurilla Elysa Putri; Yunita Yunita; Utan Sahiro Ritonga; Merna Ayu Sulastri; Serly Novitasari; M. Andri Zuliansyah
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 2 No. 2 (2024): Desember
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v2i2.2710

Abstract

Pengabdian masyarakat ini bertujuan untuk memberikan pengetahuan terkait penggunaan sosial media untuk pemasaran produk UMKM di Desa Burai. Instrumen yang digunakan dalam pengabdian ini adalah pengisian kuesioner pre-test dan post-test kepada anggota kelompok sadar wisata yang berjumlah 25 orang. Metode pelaksanaan dilakukan dengan kegiatan penyuluhan, pelatihan, dan pendampingan. Pengolahan data dilakukan dengan skala likert (skor 1-5). Penyuluhan mengenai sosial media dalam kegiatan pemasaran bertujuan untuk meningkatkan perekonomian masyarakat di Desa Burai. Berdasarkan hasil perbandingan, terdapat indikator yang tidak terlalu meningkat secara signifikan. Salah satu faktor yang mempengaruhi adalah kurangnya pemahaman terhadap materi yang ada. Namun secara keseluruhan, setelah dilakukan penyuluhan terkait penggunaan media sosial untuk pemasaran terdapat peningkatan pengetahuan anggota kelompok sadar wisata Desa Burai dari materi yang disampaikan. Kegiatan pengabdian kepada masyarakat ini dapat dikatakan memberikan manfaat bagi anggota kelompok sadar wisata Desa Burai.
Implementation of K-Means and TOPSIS Algorithm for Determining High School Student Majors Yunita Yunita; Desty Rodiah; Putri Eka Wahyuni; Junia Kurniati; Dama Putra Sarpanda
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8358

Abstract

This study focuses on the implementation of the K-means algorithm to assist high school students in selecting majors that align with their interests and skills. Utilizing a dataset of 231 grade X students from 2022, the K-means algorithm successfully formed two distinct clusters. The results indicated an accuracy of 81.81% for the K-means clustering process, recall of 81.75%, precision of 77.87%, and specificity of 81.75%. Following this, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was applied to rank the students within each cluster based on various weighted criteria. The TOPSIS method achieved a final ranking accuracy of 80.9%. The findings demonstrate the effectiveness of combining K-means and TOPSIS in facilitating informed decision-making for students regarding their academic paths.
Co-Authors Allsela Meiriza, Allsela Angga Adiningrat Mulyanata Dama Putra Sarpanda Desty Rodiah Dicky Ahmad Rizaldi Erni Purbiyanti, Erni Evita Hardanita Fadhlan Jiwa Hanuraga Jerry Satiamy Saputra Junia Kurniati Kanda Januar Miraswan Kartika Rahmayani Luh Sri Mulia Eni M. Andri Zuliansyah M. Fachrurrozi . Merna Ayu Sulastri Muhammad Arbi Muhammad Rizkiansyah Novi Yusliani Nurilla Elysa Putri Oktadini, Nabila Rizky Osvari Arsalan Putri Eka Wahyuni Risky Tama Putri Rizki Kurniati Rusdi Efendi Serly Novitasari Trisna Wahyu Swasdiningrum Putri Utan Sahiro Ritonga Wenty Octaviani