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All Journal JUSIFO : Jurnal Sistem Informasi Jurnal Pengabdian Kepada Masyarakat Abdi Putra
Sri Lestari
Universitas Nusa Putra
Humanities Computer Science & IT Education Engineering Public Health

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Support Vector Machine: Analisis Sentimen Aplikasi Saham di Google Play Store Sri Lestari; Sudin Saepudin
JUSIFO : Jurnal Sistem Informasi Vol 7 No 2 (2021): JUSIFO (Jurnal Sistem Informasi) | December 2021
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v7i2.9825

Abstract

The best application predicate has been awarded to the application that has the highest downloads and high star rating on Google Play Store. In rating an application, user comments need to be considered because many stock investment apps have almost the same downloads and star ratings, so the title of best app is a problem. Based on this condition, this research aims to analyze user feedback of stock investment applications as a variable to determine which stock investment application is the best on the Google Play Store. This study using the Support Vector Machine (SVM) classification method with the support of Rapid Miner to carry out the calculation process. From this research, it produces positive sentiment values for each application, namely HSB Investment about 1,134 positive sentiments with an accuracy value of 88.70%, Ajaib about 936 positive sentiments with an accuracy value of 61.89%, Pluang about 703 positive sentiments with an accuracy value of 68.25%, Bibit about 322 positive sentiments with an accuracy value of 64.89%, and Stockbit about 124 positive sentiments with an accuracy value of 66.95%. So it can be concluded that the HSB application as the best stock investment application based on user comments reviews where this application has the most positive sentiment reviews with a high accuracy value.
Analisis Sentimen Masyarakat Indonesia terhadap Pemindahan Ibu Kota Negara Indonesia pada Twitter Sri Lestari; Mupaat Mupaat; Adhitia Erfina
JUSIFO : Jurnal Sistem Informasi Vol 8 No 1 (2022): JUSIFO (Jurnal Sistem Informasi) | June 2022
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v8i1.12116

Abstract

The relocation state capital of Indonesia raises various responses, especially from the Indonesian people. The discussion related to these issues is very interesting to study, how are the positive and negative sentiments of the Indonesian towards the government's decision. This study aims to analyze the sentiments of the Indonesian people regarding the relocation state capital of Indonesia, including the chosen name of Nusantara on Twitter. In this study, a comparison of 3 algorithms is used, namely the Support Vector Machine (SVM), Naïve Bayes, and K-Nearest Neighbor (KNN) algorithms. From this study, the results obtained are 1,141 positive comments, while negative sentiments are 591 comments. This shows that the Indonesian people have a positive opinion towards the new capital city of Indonesia. In the classification and model testing phase, 10-fold cross validation is used. From these tests, the SVM algorithm obtained an accuracy value of 85.71%, the Naïve Bayes algorithm obtained an accuracy value of 76.70%, the KNN algorithm obtained an accuracy value of 52.74%. This study shows that the SVM algorithm can work better than the Naïve Bayes algorithm and KNN. The accuracy value for the KNN algorithm obtains a low value, this is because the KNN algorithm is sensitive to features that are less relevant.
Penyuluhan Penerapan Perilaku Hidup Bersih dan Sehat (PHBS) dan Juga Perilaku 3M pada masyarakat di Desa Cijurey Yulia Nurfitriani; Putri Oktaviani; M.Fikri Rahman Hadi; Sri Lestari; Fathurachman Bei; Neli Nurhayati; Elin Paulina; Andy Juniarso
Jurnal Pengabdian Kepada Masyarakat Abdi Putra Vol 3 No 2 (2023): Mei 2023
Publisher : Universitas Nusa Putra & Persatuan Insinyur Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdiputra.v3i2.99

Abstract

Desa Pagelaran merupakan salah satu desa objek KKN mahasiswa Universitas Nusa Putra. Terletak di Kecamatan Purabaya, Kabupaten Sukabumi. Program kerja yang dilaksanakan oleh mahasiswa KKN di Desa Pagelaran bertemakan penguatan potensi SDA dan SDM, diimplementasikan dalam lima bidang kegiatan yaitu Pendidikan, Sosial, Keagamaan, Kesehatan, dan Wisata. Adapun jenis penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif, dengan metode penelitian yaitu wawancara, observasi, dan dokumentasi. Kegiatan KKN diharapkan dapat memberikan kontribusi dalam meningkatkan kemampuan Sumber Daya Manusia sehingga masyarakat dapat mengelola Sumber Daya Alam yang tersedia di Desa Pagelaran dengan efektif untuk meningkatkan taraf hidupnya. Selain itu, dengan adanya KKN diharapkan dapat meningkatkan hubungan kerjasama antara Universitas Nusa Putra dengan Pemdes dan masyarakat Desa Pagelaran.
Co-Authors Adhitia Erfina Andy Juniarso Elin Paulina Fathurachman Bei M.Fikri Rahman Hadi Mupaat Neli Nurhayati Putri Oktaviani Saepudin, Sudin Yulia Nurfitriani