Garuda - Garba Rujukan Digital

Analisis Data Twitter: Ekstraksi dan Analisis Data G eospasial Negara, Edi Surya; Andryani, Ria; Saksono, Prihambodo Hendro
INKOM Journal Vol 10, No 1 (2016)
Publisher : Pusat Penelitian Informatika - LIPI

Data geospasial pada media sosial Twitter dapat dimanfaatkan untuk mengetahui informasi spasial (lokasi) yang merupakan lokasi sumber munculnya persepsi publik terhadap sebuah isu di media sosial. Besarnya produksi data geospasial yang dihasilkan oleh Twitter memberikan peluang besar untuk dapat dimanfaatkan oleh berbagai pihak sehingga menghasilkan informasi yang lebih bernilai melalui proses Twitter Data Analytics. Proses pemanfaatan data geospasial Twitter dimulai dengan melakukan proses ekstraksi terhadap informasi spatial berupa titik koordinat pengguna Twitter. Titik koordinat pengguna Twitter didapatkan dari sharing location yang dilakukan oleh pengguna Twitter. Untuk mengekstrak dan menganalisis data geospasial pada Twitter dibutuhkan pengetahuan dan kerangka kerja tentang social media analytics (SMA). Pada penelitian ini dilakukan ekstraksi dan analisis data geospasial Twitter terhadap suatu isu publik yang sedang berkembang dan mengembangakan prototipe perangkat lunak yang digunakan untuk mendapatkan data geospasial yang ada pada Twitter. Proses ekstraksi dan analisis dilakukan melalui empat tahapan yaitu: proses penarikan data (crawling), penyimpanan (storing), analisis (analyzing), dan visualisasi (vizualizing). Penelitian ini bersifat exploratory yang terfokus pada pengembangan teknik ekstrasi dan analisis terhadap data geospasial twitter

ANALISIS WEBSITE JDIH PROVINSI SUMATERA SELATAN DALAM MEMBERIKAN INFORMASI MENGGUNAKAN GOOGLE ANALYTICS Oktariansyah, Oktariansyah; Negara, Edi Surya; Herdiansyah, M. Izman; Kurniawan, Tri Basuki; Saksono, Prihambodo Hendro
Jurnal Teknologi Informasi Mura Vol 16 No 2 (2024): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i2.2454

The development of information technology has had a major impact on human life, allowing us to receive information quickly. The JDIH website is one of the efforts to provide digital-based information through a website platform that can be accessed quickly to provide information to improve efficiency, accessibility and convenience in providing public services to the people of South Sumatra Province to realize good governance. The purpose of this study is to measure the performance of the JDIH website (Legal Documentation and Information Network) in providing information services to the public. The purpose of this analysis is to evaluate the JDIH Website using Google Analytics Tools to understand the characteristics and statistics of its visitors. The results of the research and analysis that have been carried out by taking JDIH website data with the Google Analytics Algorithm within 28 days have had 2,445 views with an engagement ratio of 61.51%, visitor traffic data from organic search was also obtained, the largest number of which was 628 visitors from Google, Bing, Yahoo. The visitor operating system to access the website uses Windows as many as 418, Android 250, and iOS 47. The largest number of JDIH Website visitors is from Palembang City, which is 382 visitors.

SENTIMENT ANALYSIS OF PUBLIC OPINION ON PRESIDENTIAL ADVISORY APPOINTMENTS USING NAIVE BAYES CLASSIFICATION Negara, Edi Surya; Syaputra, Rezki; Erlansyah, Deni; Andryani, Ria; Saksono, Prihambodo Hendro; Aditya, Ferdi; Agam, Padel Mohammad
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.35254

Social media platforms such as Twitter, Facebook, and YouTube have become significant channels for public discourse, where users freely express opinions, including negative sentiments and hate speech. To better understand public opinion, particularly in politically charged contexts, sentiment analysis can classify user comments as either positive or negative. This study aims to analyze public sentiment regarding the formation of a special advisory team for President Jokowi, using a sentiment classification approach. The study employed a Naïve Bayes classifier to analyze sentiment from 3,000 comments gathered from Twitter, Facebook, and YouTube. The dataset was divided into 80% training data (used to train the model with known sentiment) and 20% test data. The Naïve Bayes algorithm was chosen for its simplicity and effectiveness in handling large datasets in text classification tasks. The Naive Bayes classification on sentiment analysis of public opinion regarding the appointment of presidential advisors achieved an overall accuracy of 71% in classifying the test data. Negative sentiment was classified with an accuracy of 71%, while positive sentiment was classified with an accuracy of 70%. The results demonstrate that the Naïve Bayes classifier is a viable method for sentiment analysis in political discourse, although the model's performance indicates room for improvement. The novelty of this research lies in its focus on sentiment analysis of public opinion specifically related to presidential advisory appointments, an area not yet extensively explored in sentiment analysis studies. This study contributes to the field by providing insights into the public’s perception of political decisions using machine learning techniques. The implications for future research include refining classification methods for better accuracy and applying the model to other political or governmental topics.

ANALISIS WEBSITE JDIH PROVINSI SUMATERA SELATAN DALAM MEMBERIKAN INFORMASI MENGGUNAKAN GOOGLE ANALYTICS Oktariansyah, Oktariansyah; Negara, Edi Surya; Herdiansyah, M. Izman; Kurniawan, Tri Basuki; Saksono, Prihambodo Hendro
Jurnal Teknologi Informasi Mura Vol 16 No 2 (2024): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i2.2454

The development of information technology has had a major impact on human life, allowing us to receive information quickly. The JDIH website is one of the efforts to provide digital-based information through a website platform that can be accessed quickly to provide information to improve efficiency, accessibility and convenience in providing public services to the people of South Sumatra Province to realize good governance. The purpose of this study is to measure the performance of the JDIH website (Legal Documentation and Information Network) in providing information services to the public. The purpose of this analysis is to evaluate the JDIH Website using Google Analytics Tools to understand the characteristics and statistics of its visitors. The results of the research and analysis that have been carried out by taking JDIH website data with the Google Analytics Algorithm within 28 days have had 2,445 views with an engagement ratio of 61.51%, visitor traffic data from organic search was also obtained, the largest number of which was 628 visitors from Google, Bing, Yahoo. The visitor operating system to access the website uses Windows as many as 418, Android 250, and iOS 47. The largest number of JDIH Website visitors is from Palembang City, which is 382 visitors.

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