Classification is one of the most widely used techniques in machine learning. Text classification is the process of classifying data according to pre-determined groups or classes. Where in most cases, text classification uses labeled training data to obtain the rules used to classify test data into predefined groups. In this study, it is proposed to use CountVectorizer for Indonesian text classification which will be compared with TF-IDF Term Weighting and its three feature levels, namely Character Level, Word Level and N-gram Level as feature extraction which is implemented together with Naive Bayes classification and the BPPPTIndToEngCorpusHalfM dataset. To compare the classification performance, this study uses 10-Fold Cross Validation and Split Data using a ratio of 90:10, while to evaluate the accuracy of the authors using the F1-Score and AUC with the hope that this study will get good accuracy results so that it can be used as a reference to be developed using another method. The F1-Score accuracy obtained in this study was 0.93 and the AUC score was 0.95.

Infrastructure is an important thing in an organization/company that is used to support activities carried out within the organization. Infrastructure that includes STMIK Rosma, including hardware, software, data, and information, and human resources that support information systems. Hardware resources include PCs that are used for clients with application program software. Windows 10 professional 32 and 64 bit as the operating system. While the software on the server uses Linux OS and PHP programming language. Data and information include infrastructure data, device data, server data and data on staff, students and lecturers at STMIK Rosma. So the need for the sustainability of this system is increasingly important. Problems that have existed in the STMIK Rosma infrastructure, such as those related to information security vulnerabilities. If this problem cannot be fixed in a sustainable manner, it will have an impact or risk on the sustainability of this infrastructure, especially the academic community. This study uses NIST SP 800-30 as the method used to solve these problems.
Keywords: Information Security, NIST SP 800-30, Infrastructure, Risk Assessment

The innovation of the robot cars today is moving very fast. The robot car is capable of being driven without using manual remote controls. One form of technological development in robot car control is by using hand gestures. The microcontrolle placed in the palm of the hand will read the direction of movement of our hands, then the instructions are transmitted to the robot car.  The transmission system used in the microcontrolled circuit in the palm of the hand and the receiver circuit inside the robot car must be properly attached. This is influenced by the quality of programming language levels and the arduino mini pro and MPU-6050 circuits. Hand gesture directional readings are able to be easily readable and directly transmitted by the NRF24L01 module via radio waves. The response power of the robot car in receiving hand-move instructions can be received as far as 45 m. In addition to using a good arduino mini pro, the addition of antenna modules will also increase the quality and distance of the connection is getting farther..

One of the main factors in achieving effective and efficient performance isattention to human resources. Having reliable and truly appropriate human resourceswith needs is the hope of every manager. The company needs employees with the appropriate abilities with job roles. As for the position of PT. Bogowonto Primalaras still uses a work period limit where employees cannot fill vacant positions at any time, based on the criteria of tenure an employee fulfills the term of service that is in accordance with his expectations. where on assessment in absenteeism is carried out by collecting daily report data that makes HRD send one by one who has sent the daily report. Where is the report related to the productivity criteria of an employee who has reached the target or not.

The waste processing and renewable energy are being the issues in the industrial 4.0 era. Kitchen and organic trash in the rural areas will become a disaster if there is no solutions. On the other hand, kitchen and organic waste have a positive side, that they can be converted into biogas which can be converted into electricity. On the Minister of Energy and Mineral Resources Regulation Number 27 of 2014, supports the development of biogas and will buy electricity from the biogas conversion. The potential for biogas that obtained by the organic trash per 1000 people is 7619.8 liters of biogas, it meas that the energy contained is still abundant and the production can still be increased if processed with a modern digester system. This research produces a tool in the form of a portable digester that named GenBIoT (IoT-based Biogas Generator) which can be used by the public to produce biogas that  used by home industries or general factories. This research used the research method that similar to System Development Life Cycle (SDLC), this tool is built with several stages starting from planning analysis, designing, functional testing, data analysis and reporting of the results or implementing this tool that can be used as an alternative, as a cheap and easy source energy. This tool is based on the Internet of Things so that this tool can be monitored regarding gas pressure in the reactor, biogas volume and it will detect if there is a biogas leak so it will displayed on the system. To produce the maximum biogas composition, 50% of cow dung is required, 40% of kitchen trash and 10% of water with a ratio of 5: 4: 1 so it will produce 40 kg of biogas with a volume of methane gas (VGM) 0.11 m3 of biogas for cow dung. and 0.04 m3. The third experiment becomes the basis of future biogas production with energy produced from biogas per day of 716.39 Wh

The AWD Mranggen store is a store that is engaged in the sale of bags, belts, shoes with sales developments increasing from year to year, with fairly tight business competition, the AWD Mranggen store must be able to calculate the estimated number of items to be purchased based on previous sales data, the prediction is very influential on the decision to determine the number of items to be provided by the AWD Mranggen Store for the next sales period data. Inventory of goods that are not right cause some losses in terms of time and also costs, it is necessary to have a forecasting system. Forecasting is a technique to identify a model that can be used to predict conditions in the future. By using the weight moving average method, it can be seen that the error value is more than smaller than other methods and the estimated results can be more precise so that it can help owners make decisions in carrying out inventory.

Data collection on employee attendance at a company is a must, with the aim of monitoring discipline, calculating employee salaries, and other needs. Data collection on employee attendance at companies that are used today is very diverse, following the development of technology. The United Tronik Semarang office, which employs relatively many employees, currently uses a manual card attendance data collection system that attracts researchers to make the United Tronik Office the object of research.
 Fingerprint is one of the hardware used to support employee attendance data collection which is relatively simple and easy to reach, the accuracy and ease of operation make the fingerprint attendance system more and more in demand. One of the human error problems in the attendance data collection system is attendance recording errors, especially for employees with shift work hours. Arrangement of work shifts in programs built with Visual Basic 2010 can minimize attendance recording errors, because it can set the recording time for employees. To support the ease of data access and shift settings, the researcher uses a Client Server database system with SQL Server 2005 Software.

The climatic chamber is a calibration medium for the thermohygrometer. This simple climatic chamber was built using the Arduino uno, DHT22 sensor, heater, and peltier. The climatic chamber was designed and manufactured well and cheaply. Climatic chamber testing of the design results is carried out to determine the success rate of the tool. Tests are carried out using the Madgetech data logger tool through monitoring or monitoring of temperature within a certain period of time. The results of temperature monitoring at two observed values, namely temperatures of 250C to 300C and temperatures of 300C to 350C, showed good results with the corresponding rhythm of temperature increase and temperature decrease. It's just that the decrease in temperature still takes longer than the increase in temperature. This shows that the heater can be said to be working optimally and the peltier is not fully working. So it is necessary to do further studies related to the peltier for the climatic chamber both in terms of number and characteristics.

Indonesia terkenal sebagai negara agraris karena memiliki sumber daya alam melimpah yang didukung dengan tanah subur sehingga masyarakatnya mayoritas bermatapencaharian sebagai petani. Salah satu hasil pertanian yang berkontribusi terhadap kemiskinan di Indonesia yaitu beras. Beras dengan mudah dapat ditemukan di pasar baik pasar tradisional maupun pasar modern, namun ditengah pandemi virus corona (COVID-19) sekarang ini membuat orang merasa takut untuk pergi ke pasar karena pasar merupakan salah satu klaster terbesar penularan covid-19. Salah satu inovasi teknologi yang telah banyak digunakan dalam dunia perniagaan yaitu vending machine (VM). VM merupakan sebuah mesin penjualan otomatis yang biasanya terdapat di tempat ramai dan strategis. Hal ini yang mendasari untuk pembuatan simulasi VM beras dan diharapkan dapat menjadi salah satu solusi pemutus penyebaran dan penularan covid-19. Simulasi VM beras ini dapat melakukan penjualan otomatis beras dengan masukkan berupa uang kertas atau dengan e-money dan keluarannya berupa struk bukti pembelian beras dan 5 jenis beras. Metode yang digunakan yaitu Finite State Automata (FSA) jenis Non-deterministic Finite State Automata (NFA) yang didefinisikan lima tupel, dengan rumus: M = (Q, ?, ?, S, F). NFA dipilih karena dapat menjelaskan konsep kerja secara rinci sehingga mudah dipahami dan hasil dari FSA dapat dibuat konsep logika sederhana untuk implementasi.

Abstrak
Perkembangan ilmu pengetahuan dan teknologi semakin maju terutama dibidang teknologi elektro atau teknologi elektronika, banyak keuntungan yang didapatkan akan berkembangnya suatu teknologi namun semakin berkembangnya teknologi makin banyak pula tindak kriminal dan semakin pintar pula pelaku kriminal terutama pada pencurian kendaran. Kita membutuhkan lahan parkir yang aman untuk menyimpan kendaraan kita, peningkatan kemaanan merupakan salah satu yang harus diperhatikan dalam membuat perancangan sistem keamanan parkir. Sistem tersebut diharapkan menurangi tingkat kriminal yang ada disekitar kita. Perancangan sistem parkir ini menggunakan teknologi fingerprint sensor dan Barcode scanner. Bukan hanya sistem keamanan yang di perkuat alat ini pun dapat memberikan informasi data diri dan informasi kendaraan yang di tampilkan pada LCD dengan menggabungkan data sidik jari pengendara. Dengan menggunakan sistem fingerprint yang berkesinambungan dengan barcode scanner diharapkan menekan resiko pencurian kendaraan yang berada pada lingkungan parkir. Metode menyatukan Fingerprint sensor dan barcode scanner yaitu menggunakan mikrokontroler Arduino Wemos D1 R1 yang terkoneksi dengan internet.   
 
Kata Kunci: Parkir, Fingerprint Sensor, Barcode Scanner, Arduino Wemos D1 R1