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All Journal JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Dinamika Informatika (JDI) Jurnal Sistem Informasi dan Ilmu Komputer
Nurirwan Saputra
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Computer Science & IT Decision Sciences, Operations Research & Management Other

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Analisis Sentimen Film Kuliah Kerja Nyata (Kkn) Di Desa Penari Menggunakan Metode Naive Bayes Salsa Bella Putri; Yonawati Nur Anisa; Nurirwan Saputra
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.704

Abstract

The film of Kuliah Kerja Nyata (KKN) in the Dancing Village which is being discussed among the Indonesian people is a film based on a novel by a simpleman entitled "KKN in the Dancing Village". The film tells the story of a group of students who are carrying out their KKN activities in a village in East Java where in that village there are still prohibitions that must not be violated by a group of students which caused the death of two students who were carrying out KKN in that village. Thanks to the broadcast, which is being widely discussed, it has formed positive and negative responses from the community towards this KKN film in Dancer Village. So this study aims to analyze the test results of 550 training data using the Naïve Bayes classification method taken from Instagram posts that have positive comments (105), negative (43), neutral (288), very positive (37) and very negative (36). This sentiment analysis produces an accuracy value of 60.7073%.
Penentuan Penyewa Tanah Kas Desa Potorono Menggunakan Metode Oreste dan Besson-Rank Berbasis Android Adikka Yudha Bintang Ramadan; Tri Hastono; Nurirwan Saputra
Jurnal Dinamika Informatika Vol 9 No 2 (2020): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

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Abstract

Potorono Village is one of the villages located in Banguntapan District, Bantul Regency, DIY. Potorono Village has a total area of ​​435.46 ha. Potorono Village has several village land treasuries that can be rented by residents and certain agencies. This land lease is managed by a team of intensification of land leases in Potorono Village. The rental system has been done manually so far, so the recording and documentation is very poor. This condition is exacerbated by the determination of village treasury land tenants who are determined arbitrarily, without taking into account the agreed criteria. The transparency of the village treasury land rental is also questionable. This research provides a solution to the problem of renting village treasury land. In this study, a land rental recording system was built and the determination of village treasury land tenants was built. The method used in this research is the Oreste and Besson-Rank methods. The platform used in the research is based on Android and the programming language used is the PHP programming language. The database on the proposed system is built using MySql
Sistem deteksi kemiripan judul skripsi dengan metode term weight dan word embedding Selma Maharani; Firdiyan Syah; Nurirwan Saputra
Jurnal Dinamika Informatika Vol 11 No 2 (2022): Jurnal Dinamika Informatika Vol.11 No.2
Publisher : Universitas PGRI Yogyakarta

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Abstract

The problem of plagiarism in education is ethics in writing [1]. Plagiarism is an act of taking ideas or words from abstracts, research proposals, whether published or not, whether printed or electronic [2]. A system for determining the level of similarity of student thesis titles is needed. Term Weight and Word Embedding methods and PHP programming, MySQL database for web-based Yogyakarta PGRI University. The object of this research is the thesis title as the independent variable and the title similarity level as the dependent variable. The results of the program display test showed that 27% of the respondents answered that it was very interesting, 60% of the respondents answered that it was interesting, and 13% said that it was not very interesting. The trial results regarding the ease of using the program obtained 50% of respondents answered very easily, 40% of respondents answered it was easy, and 10% of respondents answered it was not easy. The test results regarding program performance obtained the following data: 23% of respondents answered very well, 67% of respondents answered good, and 10% of respondents answered not very well. The trial results regarding the benefits of the program for users showed that 54% of respondents answered that it was very useful, 43% of respondents answered that it was useful, and 13% of respondents answered that it was not very useful.
ANALISIS SENTIMEN INSTAGRAM VAKSINASI MASA PANDEMI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES Dwi Winarti; Fanny Aura Salsabila; Fadia Ayu Cahyani; Nurirwan Saputra; Meilany Nonsi Tentua; Ahmad Riyadi
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.787

Abstract

The Covid-19 pandemic that has spread throughout the world. The government has also minimized the spread of the virus by implementing Large-Scale Social Restrictions (PSBB), implementing a lockdown, banning going home during Eid al-Fitr and so on. The government has also utilized social media as information and services for the community. The government also does not remain silent when there are many negative impacts on society, so the government takes vaccination action. The public's response to the vaccination program is quite interesting and varied on Instagram, both positive and negative. So this study aims to analyze sentiment towards the Covid-19 pandemic vaccination program using the Naïve Bayes method. Based on the results of sentiment analysis testing, the Instagram user with Quadgram tokenization obtained an accuracy value of 75.9124%.
Analisis Sentimen Terhadap Penutupan Tiktok Shop Dengan Metode Naive Bayes Riyan Fahmi Gunawan; Nurirwan Saputra; Ari Kusuma Wardana; Ahmad Riyadi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 3 (2024): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i3.3948

Abstract

Nowadays, advances in information and communication technology have had a major impact on various sectors of life, including in the field of trade and e-commerce. However, as it happens in the scope of social media, TikTok Shop is also dealing with challenges and changes. One of the issues that is sticking out and is currently hot is the permanent closure of the TikTok Shop feature that has occurred in Indonesia. This research will carry out several processes starting with data collection, then data labeling, data preprocessing, data sharing, weighting training data, using the Naive Bayes method, and ending with testing. In this study, the results of the implementation that has been made or built are discussed. The method used is the Naive Bayes Classifier Method to classify training data as much as 800 data, which is 80% of the total data. Then, testing is carried out using 200 testing data, which is 20% of the total data. The evaluation results show an accuracy value of 73%. In addition to the accuracy value, this research also recorded the precision, recall, and F1 score values. The classification that appears most often and contributes the highest in these values is the Positive classification as much as 420 data or 42% of the total data used..
Co-Authors Adikka Yudha Bintang Ramadan Ahmad Riyadi Ahmad Riyadi Ari Kusuma Wardana Dwi Winarti Fadia Ayu Cahyani Fanny Aura Salsabila Firdiyan Syah Riyan Fahmi Gunawan Salsa Bella Putri Selma Maharani Tentua, Meilany Nonsi Tri Hastono Yonawati Nur Anisa