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All Journal Jurnal Buana Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Ilmiah Ekonomi Islam JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Jurnal Sains dan Informatika Jurnal Teknik Informatika UNIKA Santo Thomas Martabe : Jurnal Pengabdian Kepada Masyarakat RISTEKDIK : Jurnal Bimbingan dan Konseling KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Informatika dan Rekayasa Elektronik Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) INVENTORY : Industrial Vocational E-Journal On Agroindustry Guiding World : Jurnal Bimbingan dan Konseling Jurnal Abdimas Komunikasi dan Bahasa Simpatik: Jurnal sistem Informasi dan Informatika BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Accounting Information System Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka SULUH ABDI : Jurnal Ilmiah Pengabdian Kepada Masyarakat Artikula
Ernawati, Siti
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Journal : Jurnal Riset Informatika

 1 
SELECTION OF THE BEST PREWEDDING PHOTO LOCATION USING THE AHP METHOD Alfarizi, Muhammad Noval; Azizah, Mariah Nur; Saputra, Wikara Dwi; Ernawati, Siti
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.100

Abstract

The location of the photo prewedding is a place that can describe the happiness of the bride and groom. In these conditions sometimes the general public especially prospective bride and groom and the photographer have difficulty in choosing the location of the photo prewedding best. Then the resulting decision-makers will get the location of the photo prewedding which is not in accordance with what is expected. In this study utilizes the Method of Analytical Hierarchy Process (AHP) to help the bride and groom and the photographer in choosing the location of the photo prewedding best, especially in the area of Jakarta. This study using six criteria such as distance, number of spots, transportation, time, cost, location, and theme. From the Results of the analysis and processing of the data obtained that the Ancol with superior value 0,224047721 (22%) berbandingan to cafe batavia with a value of 0,195494507 (20%), sunda kelapa harbor to the value 0,187335550 (19%), taman wisata mangrove angke kapuk with a value of 0,171584976 (17%), old city, with the value of 0,162696386 (16%), and glodok, with a value of 0,058840858 (6%).
SENTIMENT ANALYSIS OF THREE-PERIOD POLEMICS USING K-NEAREST NEIGHBOR WITH TF-IDF WEIGHTING Ernawati, Siti; Wati, Risa
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1114.484 KB) | DOI: 10.34288/jri.v4i3.160

Abstract

The issue of changing the presidential term which was originally 2 periods of government into 3 periods raises pros and cons in the community. Many 3-period hashtags have sprung up on social media twitter. So that conducted research on sentiment analysis of presidential election polemics 3 period. The purpose of the study was to produce the value of classification on the issue of presidential election change discourse into 3 periods using the K-NN method and whether the k-NN method proved to be well used for classifying text in the review of presidential election polemics 3 periods. Dataset totaling 1152 data, data is processed using Python and Jupyter Notebook as a text editor. The data is classified into positive reviews and negative reviews, then the data is divided into training data and test data with a ratio of 90:10. Weighting words using TF-IDF and sentiment classification using K-NN method. From the results of classification using the K-NN method obtained the highest accuracy when the value of k=17 and k = 18 with an accuracy of 85.3%. The results of the analysis of public sentiment to review the issue of discourse on the change of presidential term into 3 periods tend to be negative with a percentage of 21.26% positive sentiment and 78.74% negative sentiment.
Co-Authors Abadi, Muhammad Djaka Ahmad Sopian, Ahmad Al Hakim, Imam Taftazani Alfahran Islami, Hasby Alfarizi, Muhammad Noval Asri Utami, Lilyani astike, Azizah qur'anni Azizah, Mariah Nur Budiono, Arifin Nur Eka Rini Yulia Fatoni, Raden Mirza Kurnia Frieyadie Hasyim Asyari Hasyim Asyari Heriyani, Novia Ilham Maulana Karamoy, Yurike Khinanthy Lestari Yusuf Lisda Widiastuti Mahmudah, Sintia Masturoh, Masturoh Miharja, Rinaldi Budi Muhamad Ryansyah Muhammad, Katon Mutakin, Fakhruddin Prabowo, Sigit Putra Pratama, Andika Agus Putut Handoko, Nurul Rahayu, Septi Risa Wati - AMIK BSI Tasikmalaya Risa Wati - AMIK BSI Tasikmalaya ruhyana, nanang Saputra, Wikara Dwi Satrio, Muhammad Setiawan, Ronny Setyawati, Febryana Nabilla Soleha, Rofiqotus Tuslaela Utami, Cahyaning Budi