Almost every house already uses a Wifi network as internet access. With the help of this Wifi network, it is used as Middleware that can be controlled and monitored when outside the home. This study engineered data packet traffic using the ESP8266 wifi module on the Middleware device network to find out how fast the data packet capture time using wifi can be controlled and monitored when outside the home. Based on the analysis, the measurement results on the IoT device network to find out how fast the data time using wifi it reaches 2.95 kbps to 7.4 kbps.

Credit Card (CC) scam In financial markets is a growing nuisance. CC scams increasing rapidly and causing large amounts of financial losses for organizations, governments, and public institutions, especially now that all payment methods for e-commerce shopping can be done much more easily through digital payment methods. For this reason, the purpose of this study is to detect scam CC transactions from a given dataset by performing a predictive investigation on the CC transaction dataset using machine learning techniques. The method used is a predictive model approach, namely logistic regression models (LR-M), random forests (RF), and XGBoost combined along particular resampling techniques that have been practiced to anticipate scams and the authenticity of CC transactions. Model performance was calculated grounded Re-call Curve (RC), precision, f1-score, PR, and ROC.
The experimental results show that the random forest in combination with the hybrid resampling approach of SMOTE and removal of Tomek Links works better than other models. The random forest model and XGBoost accomplished are preferred over the LR-M as long as their global  f1 score is without re-sampling. This demonstrates the strength of one technique that can provide greater achievement alike in the existence of class inequality dilemmas. Each approach, at the same time when used with Ran-Under, will give a great memory score but fails cursedly in the language of accuracy. Compared to the coordinate model sine re-sampling, the accuracy and RS are not repaired in cases where Tomek linker displacement was used. RF and xgboost perform quite well in terms of f1-S when Ran-Over is used. SMOTE increases the random forest draw score and xgboost but the precision score (PS) decreases slightly.
Completely, during a hybrid solution of Tomek delinker and SMOTE was practiced with random forest, it gave equitable attention and RS in the PR-AUC. XGboost failed to increase the PS even though the same re-sampling technique was used. For future research, a fee-delicate study method can be applied as long as fee misclassifications. So for future research, it is very necessary to consider this behavior change and it is also very important to develop predictive models. In addition to this, much larger data is needed so that detailed studies on handling non-stationary properties in CC scam detection can be carried out better.

Remote temperature monitoring is needed in hazardous area conditions or fast data retrieval is needed without being limited by distance. This condition can be overcome by monitoring and measuring the temperature from a remote location using internet technology that is currently developing, namely the Internet of things. There are many implementations of remote temperature monitoring systems, but the measurement results of these sensors sometimes have very significant differences even for measuring the temperature of the same object. This study aims to analyze the implementation of an effective and efficient remote temperature monitoring system. The temperature measurement process uses the LM35 and MLX 90614 sensors based on Internet of things technology using the Message Queue Telemetry Transport (MQTT) protocol. After obtaining the results of temperature measurements using different sensors, the measurement results are analyzed and compared with standard temperature measuring instruments to obtain an effective and efficient implementation. Based on the analysis, the results of temperature measurements using the MLX 90614 sensor are effective and efficient sensors.

PT. Biru Semesata Abadi is a company engaged in refill drinking water, one of the many drinking water companies in Semarang, and has many branches (10 branches) and one head office in Semarang (in the Bugangan area, East Semarang district), because this company has franchise system. In this case, I will discuss the presence system (presence) of employees of PT. Biru Semesta Abadi, Fatmawati Semarang branch which is still manual (presence made of paper and written by hand) and still encounters many obstacles. This desire arises because this company has difficulties in processing Presence information data, resulting in more and more hardcopy archives and makes it difficult when the company management intends to recap and re-collect data and employee attendance lists. Presence Process that already exists in the Study of PT. Blue Semesta Abadi Semarang can be said that there are still shortcomings because everything is still done manuallyThe use of the Fingerprint method in this employee Presence system application will also make this Presence system more effective and efficient because each employee will only paste one of the employee's fingerprints on the available Fingerprint device where the calculation of the employee's attendance and exit hours will be entered in the database. , then the result of inputting the employee identification number will be the reference for the employee's arrival time.

Stock reports on purchases and sales of a period. useful for helping employees to assess the amount of inequality in the flow of purchases, monitor stock / inventory of goods, and provide reports both purchase reports, sales reports, stock condition reports, and profit / profit reports to management to determine further business policies The process of recording transactions in a conventional or paper-based manner is identical with several weaknesses, namely easily damaged, difficult / long when looking for stored data, difficult / long when it comes to generating reports. These weaknesses can be corrected by implementing computer-based monitoring applications. If the monitoring application is planned/made properly, the computer-based information system is relatively safer. The model to be developed refers to the Research and Development (R&D) model from Borg and Gall and the tools used and the tools used to design the system are use case diagrams, sequence diagrams, activity diagrams, and class diagrams. while the implementation of making stock/inventory monitoring applications is done with PHP web-based programming and databases using MySQL. This application can help and get more accurate information about the stock data of goods that have run out.

This research, in general, aims to improve the learning outcomes of class X MIPA 4 students of MAN 1 Grobogan in the 2018/2019 academic year by implementing multimedia learning. And specifically it aims to make students able to achieve the learning objectives by producing a minimum KKM score of 70 and at least 80% of the total students are able to reach this minimum limit. The research method used in this research is the Classroom Action Research Method or better known as the Classroom Action Research (PTK) method. The PTK method is a process of assessing learning problems in the classroom through self-reflection in an effort to solve these problems by taking planned actions in real situations and analyzing any effects of these treatments. The results of research conducted on class X MIPA 4 MAN 1 Grobogan, the application of multimedia presentation learning media on the basic laws of chemistry and stoichiometry with the concept of enjoyful learning can improve student learning outcomes. That the application of multimedia presentation learning media can improve student learning outcomes in chemistry, especially in the material of the basic laws of chemistry and stoichiometry

Customer service is a routine work done by a business entity in the process of goods supply and sale. Effective and valid service for consumers is the dream of all companies to generate greater profits. But, the service of information to the consumers as the main link to the consumer sometimes gets the difficulty in fulfilling the demand for information from each consumer. This is due to various reasons, because the data has not been updated, not. integrated about the latest promo information, the difficulty in memorizing the existing product specifications, up-to-date price changes and complex goods ordering system. The existence of the above problems becomes the basis for researchers to conduct the research based on online web-based technology and SMS GATEWAY communication technology. System which is built will offer the solution of the information service`s problem fot the consumers and cistomers. This research is conducted in UD Usaha Makmur environment which is located at Jl MT Haryono 63 Semarang Central Java. This research discusses about how to conduct auto response information service system which is based on store and forward and its efficient and effective implementation.The purpose of this study is to build a software about information service system that apply, and its implementation is effective. While the long term purpose of this research is to built a standard information service system that can be used and achieved by the societies. The scope of this research is to discuss the correct procedure of auto response service and GATEWAY SMS implementation as media for the recipient and the sender of information for its validity review. The research method used was R & D Borg and Gall which is modified with 6 steps

Abstract The try out process is an exam simulation exercise every year before the National Examination conducted by school institutions. The main objective of this exercise is as an effort of school institutions to prepare students to get maximum scores on the National Examination. Madrasah Working Group (KKM) of MTs 2 Demak is a body within the Ministry of Religion which fosters coordinative cooperative relations between Demak MTs 2 and private Madrasahs in the area of Demak 2 MTs. So far the Try Out system at the KKM level still uses manual procedures and is still off line using paper. As a result of this system, there are still delays in the distribution of questions and reports at the central level. In making Try Out questions, randomization of questions only uses the package method questions A, B and C, so there are still students who give each other answers. LCM (linear congruent method) is a method of generating random numbers on the Try Out. The principle of this method is where the form of the LCM number as the scrambler of the question, including increament (c), modulus (m), multiplier (a), and initial value (Z0), which has provisions: c = 0 ? c <m, m = 0 <m, a = 0 <a <m, and Z0 = 0 ? Z0 <m. Making this application using the PHP programming language and database used is MySql with the R & D system development method according to Borg and Gall, including: Research and information collecting, Planning, Develop prelminary form of product, Preliminary field testing, Main product revision, Main field testing , Operational product revision, Operational field testing, Final product revision, Dissemination and implementation. Madrasah Working Group (KKM) Demak MTs 2 in conducting a try out system still uses the manual offline method and the problem scrambler is only limited to packages A, B, and C, then with the Try Out Information System the web-based KKM level is expected to facilitate parties KKM and tighten students to avoid fraud.

SMK Kyai Ageng Pandanaran Semarang  is one of the private vocational high school that want to improve quality of teaching and learning to produce quality graduates. During these teaching and learning methods that are used less than maximum, students are easily saturated, study time is limited and there are no facilities for new teachers to learn service and auto repair material  efficiently. The authors develop a learning media services and auto repair expert system based that aims to resolve the issue.
Learning media is developed by prototype approach. Expert system technology advanced trace method is applied into the learning media through   the facilities of diagnosis and troubleshooting to help new teachers and student learning to identify the damage automobile. Database can be managed and updated by senior teachers by utilizing the MySQL database and PHP programming language. In addition, this learning media also features video demonstration of the *.swf file and the theoretical material in the form of a *.pdf file.
The results of the development has produced a new system of web-based expert system as a supplement learning media services and auto repair in the process of teaching and learning activities.