Organisasi Kesehatan Dunia (WHO) secara resmi menyebut virus Covid-19 sebagai pandemi global, oleh karena itu semua negara di dunia berusaha meminimalkan dampak yang ditimbulkan oleh virus tersebut, yaitu dengan mengembangkan vaksin. Dalam konteks pandemi Covid-19, pemerintah Indonesia juga meminta dan mendorong masyarakat untuk turut serta mendukung vaksinasi, namun upaya tersebut sebenarnya memiliki kelebihan dan kekurangan, sehingga banyak masyarakat yang mengutarakan pendapatnya di jejaring sosial salah satunya Twitter. Penelitian ini bertujuan untuk mengetahui hasil penerapan analisis sentimen dan mengukur performansi algoritma Naïve Bayes Classifier (NBC) dan Support Vector Machine (SVM) terhadap data vaksin Covid-19 dengan cara mengklasifikasikan data tersebut ke dalam kelas positif dan negatif. Data tweet yang didapat kemudian dilakukan text preprocessing untuk mengoptimalkan pengolahan data. Terdapat 4 tahapan text preprocessing antara lain Case Folding, Tokenizing, Filtering, dan Stemming. Penelitian ini mengkaji kinerja Naïve Bayes Classifier (NBC) dan Support Vector Machine (SVM) dengan menambahkan teknik TF-IDF (Term Frequency-Inverse Document Frequency) yang bertujuan untuk memberikan bobot pada hubungan kata (term) sebuah dokumen. Kemudian melakukan splitting data yaitu membagi data training 80% dan data testing 20% dengan harapan mendapatkan model dengan performansi terbaik dan yang terakhir melakukan visualisasi data tweet dengan menggunakan Word Cloud agar bisa menarik sebuah kesimpulan. Hasil klasifikasi data tweet vaksin Covid-19 menggunakan algoritma Naïve Bayes Classifier mendapatkan nilai accuracy sebesar 81%, precision sebesar 80%, recall sebesar 99%, dan f1-score sebesar 89%, Sedangkan untuk algoritma Support Vector Machine mendapatkan nilai accuracy sebesar 87%, precision sebesar 88%, recall sebesar 96%, dan f1-score sebesar 92%.

Article history:

Received 30 Mei 2020
Received in revised form 2 Juni 2020
Accepted 10 Juni 2020
Available online 12 Juni 2020



















ABSTRACT

Alcohol is the common name for organic compounds that have a hydroxyl group attached to carbon and hydrogen atoms. The alcohol that is commonly found in liquor is ethyl alcohol or it is also called ethanol, but it is usually referred to as alcohol alone. Drinks with an alcohol content of 40% can lose consciousness, leading to accidents for alcohol-affected drivers. To detect alcohol in the body using an alcohol tester. Researchers tried to make a measuring instrument for alcohol levels in the body using several components such as Arduino nano, MQ 3 sensor, OLED, charger module, battery, resistor, push button, and buzzer. The design of a portable alcohol level detector through breath can work well, namely the results of the reading of alcohol levels in the body by the MQ-3 sensor through the breath and displayed on the Oled Display in units of% BAC (Blood Alcohol Concentration), in the sample comparison of the alcohol level reading between Final project tool with a comparison tool alcohol tester obtained the percentage difference in an average of 0.01% BAC.

Keywords: Alcohol, Arduino Pro Micro, MQ-3 Sensor, OLED, Charger Module, Battery, Resistor, Push Button, and Buzzer

Sentiment analysis of comments from visitors to tourist attractions and the public on tourist attractions in Sukabumi Regency which is one of the areas with various categories of tourist objects and is a sector of economic income for the surrounding community or for related parties such as the government and managers, in sentiment analysis research This includes using the Nave Bayes classification algorithm to examine the sentiment of tourist visitors and the performance of the classification model used. The data used in this research was taken from the website from Tripadvisor and Google Maps using a crawling technique, which then processed the data by a pre-processing process and then applied a classification to the data and got a sentiment visualization by processing word frequency on tourist visitor sentiment data. The results of the accuracy of the model used were re-tested with the k-fold cross validation method and the results of sentiment visualization got the frequency of words that most often appear on negative sentiment labels are garbage, beaches, lacking, places, roads, parking, dirty, entering, caring, clean , expensive, pay, manage, good and water.

The COVID-19 pandemic had a significant impact on UMKM. Social distancing has changed consumer behavior from conventional to digital. UMKM Shapro Official is an original automotive t-shirt vendor that was established in 2017. Shapro Official has difficulty in introducing and marketing products with a clear target consumer and competitive price competition. Sales promotions have not been managed optimally and sales data management is still manual (notes). Owners also have difficulty monitoring sales reports in real time. Website created using CMS Wordpress to help Shapro Official difficulties. The system development method is Rapid Application Development (RAD). System analysis method using fishbone diagram and system modeling using Unified Modelling Language (UML). The results showed that the existence of a website can help the management to manage promotions, sales and sales reports. Having a website makes sales targets focus and increase. 
 

In the current era, learning adheres to the 2013 curriculum which includes HOTS (Higher Order Thinking Skills) consisting of critical thinking competencies, creativity and innovation, communication skills, collaboration skills and selfconfidence. These five things need to be trained or improved for deaf children so that they can take part in learning well. So learning media products are made that can be used to recognize letters and numbers. This Learning Media is equipped with sign language to support the understanding of deaf children in addition, it is packaged with an attractive appearance so that deaf children are interested in learning it. Often in daily teaching and learning activities students still often experience problems in remembering the material being taught both in the
introduction of letters and also the introduction of numbers and what becomes an obstacle for students learning must be done repeatedly so that they can
remember it and can really understand what it means. being taught and also they are sometimes bored and lazy in learning. From the problems that occur above,
it is necessary to have a learning media that can help children with disabilities, especially the deaf, especially for the introduction of numbers and letters
so that they can easily understand and understand letters and numbers. not bored, bored and lazy in learning. Learning media in the form of an android
application so that it can be used on smartphones which are currently very widely used by both teachers and parents of students with disabilities.

Football School (SSB) is a supporting facility for children who have potential in the field of soccer in order to improve their skills. Football is a large ball game played in teams with a team of 10 players and 1 goalkeeper. In this game, teamwork is an important value that must be possessed to achieve competitive victory. However, along with problems in the form of discrepancies in operational standardization in soccer schools, causing negative public perceptions of the existence of this school. Therefore, a research was conducted to build a decision-making model in determining the choice of soccer schools in accordance with legal standards for children, namely using the Analytical Hierarchy Process (AHP) method. The AHP method is one method that can solve a problem because there is a hierarchy where there are several important aspects, namely Objects, Criteria, Sub Criteria, and Alternatives. By combining data and knowledge, it can increase effectiveness in decision makers. It is hoped that in the future, this research can help the community to support their children in the field of soccer by determining the appropriate soccer school.

SMA YATPI Godong merupakan perwujudan dalam membentuk, mencerdaskan generasi muda Bangsa Indonesia. Semakin bertambahnya jumlah siswa setiap tahun, menuntut ketelitian dan ketelitian dalam memberikan informasi yang akurat dan tepat kepada siswa tanpa mengulang data yang sama atau informasi, serta tentang transparansi data keduanya nilai, kehadiran dan biaya kuliah harus dapat diakses kapan saja baik oleh siswa maupun orang tua wali. SMA YTPI Godong sangat membutuhkan a sistem yang dapat mendukung proses penyajian informasi akademik, saat ini sistem akademik diimplementasikan dengan menggunakan metode konvensional, data hanya disimpan di komputer dan tidak dapat diakses oleh seluruh civitas akademika dan orang tua. Untuk menghadapi ini masalah, sistem Informasi Akademik Berbasis Web dibutuhkan di SMA YTPI Godong sebagai amemberikan solusi yang akurat, cepat dan tepat informasi. Sistem informasi akademik ditawarkan dapat mengelola informasi akademik, baik data kehadiran siswa, absensi mengajar dan absen mengajar guru, mengelola data nilai, jadwal pelajaran, jadwal mengajar guru, dan bisa mempublikasikan informasi yang berkaitan dengan akademik. Itu pengembangan informasi akademik berbasis web ini sistem menggunakan pengembangan aplikasi cepat (RAD) metode, model pengembangan ini digunakan karena ini model dianggap model dengan mengutamakan waktu, jadi prosesnya relatif singkat sehingga dengan pengembangan sistem informasi ini dapat dilakukan bermanfaat dalam memberikan kemudahan baik bagi siswa maupun guru.

In this final project the author discusses the problem entitled "Design of Smoke Detector and Room Temperature of SAP ERP Server at PT Apac Inti Corpora". This design aims to support the improvement of the security system in the server room with smoke and temperature detectors and microcontroller-based automatic countermeasures. Against the background of problems with sensors and countermeasures systems in the server room and lack of insight into sensor installation. This tool uses a gas sensor MQ-2 as a smoke detector, a DHT-11 sensor as a temperature detector, Arduino as a microcontroller that controls I/O, buzzer and LED as an alarm, a fan as a temperature controller, and an LCD to display conditions in the room. The output of the MQ-2 and DHT-11 sensors will be processed in a programmed microcontroller so that it can display conditions on the LCD. This tool will turn on the alarm and fan if smoke and high temperature are detected at the specified conditions.

In a business , the ability to process data is very necessary, information obtained from a business can provide benefits in  an effective and efficient business strategy, but with the development of online business strategy information, some users,  in business furniture products are confused choosing product according to the wishes of the buyer Therefore, research is made with the aim of making it easier for users, especially in the field of furniture product business to determine the desired product by implementing a recommendation system on the furniture store website which is taken from the amount of data, this data can be in the form of databases. this is also beneficial for shop owners because with this recommendation system it can help as a means of promoting products that are not selling well. the recommendation system uses the a priori algorithm method with data mining techniques, namely association rules.

The behavior of changing the use of technology for business actors is very rapid. Information of system is form of data that has been processed through a certain model into information that can be used by the recipient in making decisions.
Some MSME actors with a Data List of product images and detailed information on their products to be marketed to customers using laminated paper. Marketing information using the Website implements CMS with E-Catalog as an alternative solution. Reader and Viewers can view the Catalog privately or together. The treatment of the Plugin model with the CMS that has been embedded on the website is reliable because it is online.
Several list images are displayed on WhatsApp Status and social media to introduce products to the public with the aim of increasing sales volume and selling in the market. This is an obstacle if one day people need pictures but do not have complete detailed information. High purchasing power is expected to be created from the spread of E-Catalog regarding products from MSMEs that have been installed on the E-Catalog website. Websites with online CMS can be opened on any device by requiring an internet connection, making it easier for marketing and complete information for consumers, customers and MSME business players.