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All Journal POSITIF Jurnal Pengabdian Kepada Masyarakat (Mediteg)
Wiwik Kusrini
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Social Sciences

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Penerapan WPS Office sebagai Alternatif Administrasi Perkantoran Herfia Rhomadhona; Winda Aprianti; Wiwik Kusrini; Hendrik Setyo Utomo
Jurnal Pengabdian Kepada Masyarakat (MEDITEG) Vol. 5 No. 1 (2020): Jurnal Pengabdian Kepada Masyarakat MEDITEG
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M) Politeknik Negeri Tanah Laut (Politala)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/mediteg.v5i1.61

Abstract

Keberadaan Undang-undang hak cipta masih belum menyadarkan masyarakat untuk menggunakan software secara legal. Hal ini terlihat masih tingginya pengguna software illegal di Indonesia, terutama perusahaan. Sosialisasi dalam rangka meningkatkan kesadaran masyarakat untuk menggunakan software legal juga kurang efektif dikarenakan kewajiban membayar yang dirasa memberatkan bagi masyarakat. Solusi lain yang ditawarkan adalah pengenalan software sejenis yang tidak berbayar. Untuk software pengolah kata, pengolah data, dan presentasi yang digunakan oleh perkantoran, dapat digantikan oleh WPS Office. WPS Office merupakan software tidak berbayar yang paling kompatibel eksistensi filenya dengan Microsoft Office, sehingga cocok untuk dijadikan materi pelatihan bagi perwakilan perkantoran Kabupaten Tanah Laut. Pelatihan ini telah dilaksanakan dan menunjukkan bahwa peserta antusias menerapkan WPS Office sebagai alternatif administrasi perkantoran.
Persepsi Publik Terhadap Perpindahan Ibu Kota Ke IKN Berdasarkan Analisis Sentimen X Menggunakan Naïve Bayes Classifier Fauzan; Wiwik Kusrini; Fathurrahmani
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 11 No 1 (2025): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v11i1.15154

Abstract

The relocation of Indonesia’s capital city from Jakarta to Nusantara (IKN) has become a topic that generates various public reactions. These opinions are largely expressed through the social media platform X (formerly Twitter), making it an important data source for analyzing public sentiment. This study aims to apply the Naïve Bayes Classifier method to analyze public sentiment toward the relocation of IKN and to evaluate its accuracy using a Confusion Matrix. The data were collected through a web crawling process on the X platform using the keyword "ikn", resulting in 1,002 relevant tweets. The data were then processed through preprocessing stages using Python, including lowercasing, punctuation removal, tokenizing, stopword removal, stemming, and TF-IDF value calculation to form features. After augmentation, the number of data increased to 1,324, which was divided into 75% training data and 25% testing data. Sentiment classification was performed using the Naïve Bayes Classifier algorithm, and testing was conducted using the black-box method to ensure system functionality according to the design. Model performance evaluation using a Confusion Matrix produced an accuracy of 92.47%, precision of 93.03%, recall of 92.47%, and F1-score of 92.45%. The web-based system developed in this study is expected to help the government understand public opinion and develop more effective communication strategies related to the IKN relocation policy.
Co-Authors Fathurrahmani Fauzan Hendrik Setyo Utomo Herfia Rhomadhona Winda Aprianti