scholarly journals Klasifikasi Masyarakat Wajib Pajak Di Kabupaten Simalungun Menggunakan Metode Naive Bayes

2019 ◽  
Vol 1 (1) ◽  
pp. 15-23
Author(s):  
Idris Hanafia Lubis ◽  
P Poningsih ◽  
Ilham Sahputra Saragih
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Tax Administration ◽  
Regional Government ◽  
Poor Knowledge ◽  
Administration System ◽  
Information Session ◽  
The Government ◽  
Regional Governments

Regional tax is a tax set by the regional government with regional regulations, the collection of which is carried out by the regional government and the subsequent results are used to finance the expenditure of regional governments in implementing governance and development in the region. Poor knowledge and understanding of taxes received by the community in paying taxes. The quality of good tax knowledge will greatly affect the smooth running of taxpayers in fulfilling their tax obligations. In this study, the method used in measuring the free or not of taxpayers in Simalungun District uses the method of using Naive Bayes. The parameters used are Modernization of Tax Administration System, Taxation Information Session, Taxation of Awareness, Tax Sanctions, Taxpayer Compliance. The data used in this study provides questionnaires to people who have a type of business in Simalungun District specifically in Java. It is expected that the results of this study can help the government specifically the Regional Revenue Service to understand the understanding and responsibility of the community in fulfilling their tax obligations.

Klasifikasi Tahap Kematangan Pisang Ambon Berdasarkan Warna Menggunakan Naive Bayes

2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah
Keyword(s):  
Naive Bayes ◽  
Fruit Production ◽  
Naïve Bayes ◽  
Primary Data ◽  
Banana Fruit ◽  
Bayes Method ◽  
Classification Image ◽  
Average Accuracy ◽  
The Government

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra

scholarly journals PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN

2021 ◽  
Vol 4 (2) ◽  
pp. 142-155
Author(s):  
Farhannah Silmi Az Zahra Farhannah ◽  
Solikhun Solikhun
Keyword(s):  
Learning Process ◽  
Teaching And Learning ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Research Data ◽  
Bayes Method ◽  
A Value ◽  
The Government

The purpose of this study is to analyze whether students concentrate or not on the teaching and learning process at Pematangsiantar Park in SMP. To determine the concentration of students in the teaching and learning process, the Naive Bayes classification of data mining methods is used. Sources of research data were obtained using a questionnaire distributed to Pematangsiantar Park Middle School. So hopefully this research can help the government and the school in monitoring the concentration of students so that it can help in improving the quality and quality of schools. Based on that research that has been done,the writer uses the Naïve Bayes Method to predict student concentration resulting in a value of 95.31%, while the predicition of lack of concentration results in a value of 100.00%

scholarly journals Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes

Information ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 204
Author(s):  
Charlyn Villavicencio ◽  
Julio Jerison Macrohon ◽  
X. Alphonse Inbaraj ◽  
Jyh-Horng Jeng ◽  
Jer-Guang Hsieh
Keyword(s):  
Sentiment Analysis ◽  
Language Processing ◽  
Data Science ◽  
Naive Bayes ◽  
The Philippines ◽  
Naïve Bayes ◽  
Social Networking Site ◽  
Bayes Model ◽  
The Government ◽  
Processing Techniques

A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world, the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through WHO’s COVAX initiative. A month into inoculation of all frontline health professionals and other priority groups, the authors of this study gathered data on the sentiment of Filipinos regarding the Philippine government’s efforts using the social networking site Twitter. Natural language processing techniques were applied to understand the general sentiment, which can help the government in analyzing their response. The sentiments were annotated and trained using the Naïve Bayes model to classify English and Filipino language tweets into positive, neutral, and negative polarities through the RapidMiner data science software. The results yielded an 81.77% accuracy, which outweighs the accuracy of recent sentiment analysis studies using Twitter data from the Philippines.

scholarly journals Sentiment Analysis on Government Performance in Tourism During The COVID-19 Pandemic Period With Lexicon Based

CAUCHY ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 28-39
Author(s):  
Adri Priadana ◽  
Ahmad Ashril Rizal
Keyword(s):  
Sentiment Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Tourism Industry ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Trending Topics ◽  
The Government ◽  
Negative Sentiment

The COVID-19 pandemic impact has affected all industries in Indonesia and even the world, including the tourism industry. Researchers have a role in researching to answer the needs of the tourism industry, especially in making tourism and business destination management programs and carrying out activities oriented to meet the needs of the tourism industry. Meanwhile, the government has a role in making policies, especially in the roadmap, for developing the tourism industry. This study aims to track trending topics in social media Instagram since COVID-19 hit. The results of trending topics will be classified by sentiment analysis using a Lexicon-based and Naive Bayes Classifier. Based on Instagram data taken since January 2020, it shows the five highest topics in the tourism sector, namely health protocols, hotels, homes, streets, and beaches. Of the five topics, sentiment analysis was carried out with the Lexicon-based and Naive Bayes classifier, showing that beaches get an incredibly positive sentiment, namely 80.87%, and hotels provide the highest negative sentiment 57.89%. The accuracy of the Confusion matrix's sentiment results shows that the accuracy, precision, and recall are 82.53%, 86.99%, and 83.43%, respectively.

scholarly journals Pengaruh Penerapan Sistem Administrasi Perpajakan Modern, Kualitas Pelayanan Dan Kesadaran Wajib Pajak Pada Kepatuhan WPOP

2019 ◽  
pp. 221
Author(s):  
Ni Luh Putu Yunika Antari ◽  
Ni Luh Supadmi
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Quality Of Services ◽  
Tax Administration ◽  
Administration System ◽  
System Service ◽  
Analysis Technique ◽  
Reporting Service ◽  
Positive Effect

The purpose of this study was to determine the effect of the application of a modern tax administration system, service quality, and taxpayer awareness on individual taxpayer compliance (WPOP). This research was conducted at KPP Pratama Denpasar Timur. The data analysis technique used is multiple linear regression. Based on the results of the analysis obtained a modern tax administration system, service quality, and awareness of taxpayers have a positive and significant effect on WPOP compliance. This shows that if the tax administration system is implemented well, it will tend to increase compliance with WPOP reporting. Service quality also has a positive effect on WPOP compliance, this proves that the better the quality of services provided will make the taxpayer more compliant in fulfilling his obligations. Keywords: modern tax administration system, service quality, and taxpayer awareness  

scholarly journals Modernization of the Tax Administration System: A Theoretical Review of Improving Tax Capacity

2018 ◽  
Vol 73 ◽  
pp. 10022 ◽  
Author(s):  
Kurniawan Taufik
Keyword(s):  
Tax Avoidance ◽  
Tax Administration ◽  
Political Commitment ◽  
Tax Reforms ◽  
Administration System ◽  
Tax Revenues ◽  
System A ◽  
Principles Of Justice ◽  
The Government ◽  
Modernization Process

The canons of transaction theory requires taxation to rest on the principles of justice, certainty, comfort, and economics. However, as the government continues to demand for development finance and increasingly depend on tax revenues, the aforementioned principles have been neglected in taxation as can be empirically observed in the complaints, tax avoidance efforts, and tax revenue in Indonesia. The lower tax revenues of Indonesia compared with those of other countries indicate that the tax reforms implemented in the country from 1984 to date have produced sub-optimal results and require realignment. The reformation or modernization of a tax administration system aims to improve the effort or performance of tax collecting authorities. Such reformation may be conducted individually or by group to achieve more efficient, economical, and rapid outcomes. The modernization process focuses on organizational structure, procedure, strategy, and culture. In order for such modernization process to succeed, the tax structure must be simplified, appropriate reform strategies must be developed, and a strong political commitment to reforming the tax administration system must be ensured.

scholarly journals Word sense disambiguation to improve precision for ambiguous queries

2012 ◽  
Vol 2 (4) ◽  
Author(s):  
Adrian-Gabriel Chifu ◽  
Radu-Tudor Ionescu
Keyword(s):  
Information Retrieval ◽  
Ad Hoc ◽  
Naive Bayes ◽  
Word Sense Disambiguation ◽  
Naïve Bayes ◽  
Word Sense ◽  
Interdisciplinary Approaches ◽  
Sense Disambiguation ◽  
Ranking Technique

AbstractSuccess in Information Retrieval (IR) depends on many variables. Several interdisciplinary approaches try to improve the quality of the results obtained by an IR system. In this paper we propose a new way of using word sense disambiguation (WSD) in IR. The method we develop is based on Naïve Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the TREC ad-hoc collection that WSD is useful in the case of queries which are difficult due to sense ambiguity. Our interest regards improving the precision after 5, 10 and 30 retrieved documents (P@5, P@10, P@30), respectively, for such lowest precision queries.

scholarly journals Educational Data Mining for Predicting Student Graduation Using the Naïve Bayes Classifier Algorithm

2020 ◽  
Vol 4 (1) ◽  
pp. 95-101 ◽  
Author(s):  
Edi Sutoyo ◽  
Ahmad Almaarif
Keyword(s):  
Data Mining ◽  
Naive Bayes ◽  
Educational Data Mining ◽  
Naïve Bayes ◽  
Drop Out ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Student Graduation

The quality of students can be seen from the academic achievements, which are evidence of the efforts made by students. Student academic achievement is evaluated at the end of each semester to determine the learning outcomes that have been achieved. If a student cannot meet certain academic criteria that are stated by fulfilling the requirements to continue his studies, the student may have the potential to not graduate on time or even Drop Out (DO). The high number of students who do not graduate on time or DO in higher education institutions can be minimized by detecting students who are at risk in the early stages of education and is supported by making policies that can direct students to complete their education. Also, if the time for completion of student studies can be predicted then the handling of students will be more effective. One technique for making predictions that can be used is data mining techniques. Therefore, in this study, the Naive Bayes Classifier (NBC) algorithm will be used to predict student graduation at Telkom University. The dataset was obtained from the Information Systems Directorate (SISFO), Telkom University which contained 4000 instance data. The results of this study prove that NBC was successfully implemented to predict student graduation. Prediction of the graduation of these students is able to produce an accuracy of 73,725%, precision 0.742, recall 0.736 and F-measure of 0.735.

scholarly journals Urgency of the Public Services Supervision on the Regional Government Implementation

2020 ◽  
Vol 4 (2) ◽  
pp. 84-88
Author(s):  
Ida Ayu KETUT KARYANI ◽  
I Wayan PARSA
Keyword(s):  
Public Service ◽  
Public Services ◽  
Service Providers ◽  
Regional Government ◽  
Public Officials ◽  
The Public ◽  
Government Supervision ◽  
Service Sectors ◽  
The Government

This study examined the supervision of public services as stipulated in Law 25 of 2009, namely regarding public services and Law 23 of 2014 concerning regional government. Supervision carried out in the law is to give authority to each of the existing institutions or institutions, causing overlapping existing authority. Giving authority to officials will give birth to the rights and obligations to achieve the goals and intentions specified in the legislation. The rise of corruption cases occurs because of the weakness of existing supervision of government administration, especially in public services. In this case corruption will foster public distrust of public services. The form of maladministration carried out by public service providers is always associated with behavior in services performed by public officials and the norms of behavior of officials in public services. In addition, these problems are also caused by the opportunities and authority given to be abused and the low quality of public services in various service sectors. Supervision of public services can provide certainty about the public services provided by the government whether it has been running according to targets and objectives and is a way to find out as early as possible maladministration that might occur so that effective and accountable government can be realized.

scholarly journals PELAKSANAAN SISTEM PEMERINTAHAN DESA BERDASARKAN UNDANG-UNDANG NOMOR 32 TAHUN 2004 DIDESA KALICINTA KECAMATAN KOTABUMI KABUPATEN LAMPUNG UTARA

FIAT JUSTISIA ◽  
2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Erna Sari ◽  
Yulia Neta
Keyword(s):  
Regulatory Agencies ◽  
Regional Government ◽  
System Implementation ◽  
Governance System ◽  
Administration System ◽  
Village Governance ◽  
The Government ◽  
Consultative Body ◽  
The Village

Village Administration System implementation as stipulated in the Act Law Number 32 Year 2004 on Regional Government to give freedom to the village to have a genuine authority in managing the household itself. The village also has a delegated power as deconcentration of the government on it. As the embodiment of democracy, the rule penyelenggarakan village consultative body established villages or other designations in accordance with the culture that flourished in their local village, which serves as the regulatory agencies in the governance of the village. Keywords: Village, Village Governance System Implementation

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