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COMPARISON OF KNN, NAIVE BAYES, DECISION TREE, ENSEMBLE, REGRESSION METHODS FOR INCOME PREDICTION
Get PDFUsing the income classification dataset, we performed data analysis with the help of data mining to gather interesting information from the available data. Currently, data processing can be done using many tools. One of the tools that we use for data processing is the orange application. By using the dataset we looked at the welfare level ranging from marital status, school, gender, and from all fields related to income ranging from sales, to daily life to find out the income earned by employees or workers from several countries such as the United States, Cambodia, United Kingdom, Puerto-Rico, Canada, Germany, Outer US (Guam-USVI-etc). The purpose of this analysis is to determine the hourly income in one week that can affect the income classification. The classification technique uses various classification models, namely the K-Nearest Neighbor (KNN) algorithm model, Naïve Bayes, Decision Tree, Esemble Method and Linear Regression algorithm. The results of the analysis based on the test results of various algorithm models can be concluded that the best algorithm model for measuring workers' income is to use the Naive Bayes Decision. Analysis of variables based on Hours-per-Week and Capital-Gain affects Income Classification which determines whether the income earned is more than 50 thousand/50 K and the analysis results in a prediction of a person's income level
REAL TIME DETECTION OF CHICKEN EGG QUANTITY USING GLCM AND SVM CLASSIFICATION METHOD
Get PDFA common problem currently being faced in the chicken egg production home industry is difficulty in counting the number of eggs. Currently, calculating the number of eggs is still done manually, which is less than optimal and prone to errors, so many entrepreneurs often experience losses. The manual system currently used also has the potential for this to happen. The use of technology on an MSME scale among laying hen breeders has not been widely adopted, this is due to limited access and understanding of technology. One alternative solution to deal with this problem is to build a real-time computerized system. The system that will currently be built in this research uses GLCM feature extraction and the SVM classification method. This system will detect egg production via CCTV cameras and will be stored in a database to be displayed on the website. The advantage of this system is that egg entrepreneurs can monitor chicken egg yields in real time. The results of trials that have been carried out using GLCM feature extraction and the SVM classification method in calculating the number of eggs using the SVM method with a polynomial kernel are highly recommended for use in this research because it can achieve 95% accuracy
PELATIHAN DESIGN UI/UX DALAM MEMBANGUN WEBSITE PADA RW.013 CIPINANG MELAYU JAKARTA TIMUR
Get PDFRukun Warga is a community institution that was formed through deliberation of neighborhood association administrators in order to provide government services to the community that are recognized by the local government. However, along with the rapid development of information, the services provided by RW administrators. 013 Cipinang Melayu is still not optimal because it still uses a manual system. There is no information system to find out any information available in the RW area. 013 Cipinang Melayu is one of the obstacles in the field. Therefore, it is hoped that this web-based information system can reduce the risks faced by manual systems so that the services provided can be more effective and efficient. The results of this community service activity are in the form of a website-based community information system. By determining an attractive user interface/appearance of a website and the UX designer is tasked with determining how the website operates so as to produce an information system with a user interface that is effective for use. With this information system, it is hoped that it will make it easier for RW administrators and the public to collect data or obtain information
THE DECISION MAKING METHOD FOR AWARDING SCHOLARSHIPS TO STUDENTS USING COMPOSITE PERFORMANCE INDEX ALGORITHM
Get PDFHigher education in Indonesia has several programs to help reduce the burden on students, one of which is through a scholarship program. Scholarships given can be obtained with the terms and conditions that apply at each university. Mitra Gama Institute of Technology is one of the private universities in the province of Riau which always runs a scholarship aid program. The problem that has been happening so far is that the procedures carried out are still using a document checking system without involving a weighting system and the right criteria and time constraints have always been an obstacle in determining scholarship recipients. This research was conducted as a solution to create an innovation in the form of making a computerized decision support system using criteria and weight values so that scholarship recipients are on target. Composite performance index is the method used in this study. The purpose of this research is to create a decision support system for the selection of scholarship recipients to be more systematic and time efficient in the process. There are 5 alternatives used and 4 criteria, namely parents' income, GPA, electricity consumption and semester. The results of the research carried out were obtained the 5 highest composite index values, namely MHS4 with a value of 200.00, MHS1 with a value of 134.14, MHS5 with a value of 120.00, MHS3 with a value of 87.00 and MHS2 with a value of 85.71
SENTIMENT ANALYSIS OF ONLINE GOJEK TRANSPORTATION SERVICES ON TWITTER USING THE NAÏVE BAYES METHOD
Get PDFAbstract— Social media is the most accessed internet content by internet users in Indonesia. This is not surprising, given the many benefits that social media provides, one of which is the benefit of self-expression. Self-expression can include many things, including emotional openness, which is the openness of a person in conveying the emotions he is feeling. Along with the development of social media, emotional disclosure is ubiquitous in social media, one of which is social media Twitter. With the development of information technology, means of transportation are also developing with the existence of online transportation services. Currently, the use of online transportation services has become a necessity, so it is necessary to conduct a sentiment analysis on online transportation services to find out how the public responds to these online transportation services. The purpose of this study is to analyze community responses by analyzing data in the form of tweets and then classifying them into positive, negative, and neutral classes using the Naïve Bayes method because the error rate obtained is lower when the dataset is large, besides that the accuracy of Naive Bayes and the speed is higher. high when applied to a larger dataset. The results of this study indicate that the neutral sentiment level of public tweets is greater than the level of positive sentiment and negative sentiment with an accuracy of 25.00%
DIGITAL IMAGE IDENTIFICATION OF PLANKTON USING REGIONPROPS AND BAGGING DECISION TREE ALGORITHM
Get PDFPeranan plankton sangat penting bagi kehidupan organisme disekitarnya, sehingga penelitian prihal plankton sangatlah dibutuhkan karena kaitannya dengan kelangsungan kehidupan mahluk hidup lainnya. Kendala yang sering didapatkan dalam hal penelitian plankton khususnya dalam hal pengidentifikasian plankton yaitu tidak efisiennya dalam aspek waktu dan organisme ini memiliki ukuran rata-rata yang sangat kecil. Dalam hal ini diperlukan alternatif yang lebih baik dalam pengidentifikasian jenis plankton ini dengan cara pemrosesan gambar pada citra plankton secara digital atau biasa disebut dengan istilah “Digital Image Processing”. Penelitian ini bertujuan untuk melakukan pengolahan citra digital plankton sebanyak 144 citra yang yang dibagi menjadi 75% sebagai data pelatihan dan 25% sebagai data pengujian, dan citra tersebut didapatkan dari riset pada yayasan Kanopi Indonesia. Dalam prosesnya citra ini dianalisa bentuk menggunakan fungsi Regionprops sehingga didapatkan fitur pembeda dari masing-masing jenis plankton. Setelah citra terekstraksi fitur nya selanjutnya dilakukan pengolahan data dengan mengklasifikasikan setiap jenis plankton tersebut. Untuk menghasilkan sebuah klasifikasi data yang lebih baik, dalam penelitian ini menggunakan algoritma Bagging Decision Tree dalam pengolahan data nya dan menghasilkan akurasi sebesar 92.59%. Algoritma Bagging Decision Tree ini cukup baik dan mudah untuk di implemntasikan kedalam sebuah program identifikasi jenis plankton, terbukti dengan pengujian pada data citra pengujian menghasilkan 33 citra teridentifikasi dengan benar dari total pengujian sebanyak 36 citra
Lexicon-Based and Naive Bayes Sentiment Analysis for Recommending the Best Marketplace Selection as a Marketing Strategy for MSMEs
Get PDFMSMEs (micro, small, and medium enterprises) play an essential role in the Indonesian economy, contributing to 60% of the country's GDP (gross domestic product), creating jobs, and increasing non-oil and gas exports. However, MSMEs in Indonesia face various challenges, including access to technology, digital marketing tools, financial resources, limited market distribution, and low technological literacy. Marketplaces provide an essential marketing channel for MSMEs to increase their competitiveness and sales. Sentiment analysis can assist businesses in making informed decisions about which marketplace to use to increase customer satisfaction. Apart from the importance of the marketplace for MSMEs in Indonesia, research on sentiment analysis for marketplace recommendations is still minimal. Therefore, this study aims to analyze six popular marketplaces in Indonesia using Lexicon-based and naïve Bayes research methods to provide the best marketplace recommendations for MSME marketing. The results showed that Blibli.com had the highest accuracy, followed by Tokopedia, Tiktokshop, Lazada, Shopee, and Bukalapak. Blibli.com received positive reviews with 96.33%, followed by Tokopedia with 95.25%, Tiktokshop with 94.61%, and Lazada with the highest accuracy. 94.22%, Shopee 92.18%, and Bukalapak 89.57%. This research has two significant contributions. First, making a scientific contribution by applying a combination model of lexicon-based and naïve Bayes to analyze market sentiment in Indonesia Second, offering a practical contribution by providing recommendations to MSME actors and policymakers in choosing the best marketplace for MSMEs marketing purposes in Indonesia. By utilizing the recommended marketplace, MSMEs can optimize their marketing strategy and increase their competitiveness in the digital marketplace
PERANAN ROOM ATTENDANT DALAM MENINGKATKAN PELAYANAN UNTUK KEPUASAN TAMU DI REDTOP HOTEL AND CONVENTION CENTER
Get PDFIn this Jurnal the author conducted research on REDTOP Hotel And Convention Center in Jakarta in the Housekeeping Department. REDTOP Hotel and Convention Center is a four-star hotel right in the Center of Jakarta area. Understanding Room Attendant to SOP (Standard Operating Procedure) which applies to the perceived level of guest statisfaction during the stay, it is intended that the quality of existing services in REDTOP Hotel and Convention Center for the better in the eyes of the guest who come This research was conducted to determine the strategic role of room attendance in increasing customer satisfaction and room occupancy rates from January to March. The results were obtained through the method of data collection and observation with the service provided in accordance with applicable regulations. The results obtained are an increase in service satisfaction of Room Antendant by 76% from January to February and an increase in service satisfaction of 84% from February to March at the Red Top Hotel and Convention center Of both methods are expected to answer the fundamental problems of research : “The role of the room attendant improves the quality of service for the guest statisfaction at Red Top Hotel and Convention Centre.”In this Jurnal the author conducted research on REDTOP Hotel And Convention Center in Jakarta in the Housekeeping Department. REDTOP Hotel and Convention Center is a four-star hotel right in the Center of Jakarta area. Understanding Room Attendant to SOP (Standard Operating Procedure) which applies to the perceived level of guest statisfaction during the stay, it is intended that the quality of existing services in REDTOP Hotel and Convention Center for the better in the eyes of the guest who come This research was conducted to determine the strategic role of room attendance in increasing customer satisfaction and room occupancy rates from January to March. The results were obtained through the method of data collection and observation with the service provided in accordance with applicable regulations. The results obtained are an increase in service satisfaction of Room Antendant by 76% from January to February and an increase in service satisfaction of 84% from February to March at the Red Top Hotel and Convention center Of both methods are expected to answer the fundamental problems of research : “The role of the room attendant improves the quality of service for the guest statisfaction at Red Top Hotel and Convention Centre.
IMPLEMENTASI DIGITALISASI PELAYANAN PUBLIK DAN KOMPETENSI SDM TERHADAP KEPUASAN MASYARAKAT PADA KANTOR KECAMATAN JATINANGOR KABUPATEN SUMEDANG
Get PDFJatinangor is one of the sub-districts in Sumedang Regency, West Java Province. The Janitangor District Office has 18 service products to serve the community, including making Family Cards and E-KTP. Administratively, Jatinangor District is divided into 12 villages, 137 RW and 515 RT with an area of 26.20 Km² (26.200 Ha). Thisiistudyiiaimsiito determine theiieffectiiofiithe variable digitization of public services and human resource competence on community satisfaction at the Jatinangor District office. The sampling technique used is probability sampling with a simple random sampling approach with a total of 100 respondents. The data obtained were analyzed using SPSS version 20 and data analysis techniques using descriptive and verification methods. The results of the study indicate that the digitization of public services and the competence of human resources both have a positive and significant influence on people's satisfaction. Simultaneously the digitization of public services and human resource competencies have a significant effect on people's satisfaction.Jatinangor adalah salah satu kecamatan yangiada diiKabupaten Sumedang, Provinsi Jawa Barat. KantoriKecamatan Janitangor memiliki 18 produk pelayanan untuk melayani masyarakat diantaranya pembuatan Kartu Keluarga dan E-KTP. Secara administratif Kecamatan Jatinangor terbagi kedalam 12 Desa, 137 Rw dan 515 RTidengan luas wilayah 26.20iiKm² (26.200iiHa). Penelitianiini bertujuan untuk mengetahuii pengaruh antara variabel digitalisasi pelayanan publik dan kompetensi SDM terhadap kepuasan masyarakat pada kantor Kecamatan Jatinangor. Teknik pengambilan sampel menggunakan probability sampling dengan pendekatan simple random sampling dengan jumlah responden sebanyak 100 orang. Data yang diperoleh dianalisis menggunakan SPSS versi 20 dan teknikiianalisisidata menggunakaniimetodeiideskriptif dan verifikatif. Hasil penelitian menunjukkan bahwa digitalisasi pelayanan publik dan kompetensi SDM sama – sama mempunyai pengaruh positif dan signifikan terhadap kepuasan masyarakat. secara simultan digitalisasi pelayanan publik dan kompetensi SDM berpengaruh signifikaniterhadapi kepuasanimasyarakat
PENGARUH FINANCIAL ATTITUDE DAN EMOTIONAL INTELLIGENCE TERHADAP MONEY MANAGEMENT GAMERS DI PULAU JAWA
Get PDFMoney Management or financial arrangements are of course now becoming an important matter where now the situation is uncertain going forward so it is necessary to have financial arrangements at this time so that in the future there will be no shortage of funds. However, in this study the subject of this study is a community of gamers who have an interesting view of their pattern in managing their finances or how to spend them. Therefore, this study aims to look at the Financial Attitude and Emotional Intelligence of gamers in their community to see whether these variables influence how they manage their finances. Thus the researchers in their study used the Outer fit Model and Goodness Fit Outer Model Evaluation methods, as well as Hypothesis Testing. The resul, when viewed from the results of this study, there is a significant relationship between these 2 variables in their view of their financial management. They are also aware of the importance of managing their finances