Social media is one of the most common sources used to communicate, such as Twitter. Every tweet on Twitter contains data such as text which when collected can be processed into information. Data processed from Twitter tweet will create a trend which can be used for information such as in education, economics, politics, etc. This then created the concept of text mining. Text mining techniques are needed to find an interesting pattern in search of trends based on Twitter text with topics related to Pilkada Pekanbaru 2017. This research is intended to cluster Twitter text data using Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. This research was conducted with several experiments using different Eps and MinPts parameters for 2,184 text data which has been through several stages, such as cleaning, duplication removal, pre-processing like stemming and stopwords. Based on the highest average of Silhouette Index, Eps 0.1 and MinPts 10 with SI = 0.413 were chosen as paramaters, thus forming 31 clusters. According to the frequency of word occurrences in the cluster, the highest are “kpu”, followed by “firdaus”, “kota”, “pasang”, and “ayat”. As can be seen that the candidate pairs most often appear on cluster results are Firdaus-Ayat, and based on the results of Pilkada 2017, Firdaus-Ayat was chosen as Mayor and Vice Mayor of Pekanbaru.
The high increase in broiler each year there are several factors that must be considered, one of them is the temperature and humidity of the cage. The brooding cage space of 10 ekor/1. If more then that couse broiler is not optimal. The temperatur needed is 29°C-35°C and humidity 60%-70% for brooding. In general control of temperature and humidity, unable to maintain cage needs. Then it is necessary to do automatic control using the fuzzy logic method and the concept of Internet of Things (IoT). Base on the testing result the system has been able to maintain the set point of temperature and humidity and get broiler growth not same, The best stability value during the test is condition without DOC produces no overshoot temperature parameters and steady state error 0,48, no overshoot and steady state for humidity. On the condition with DOC produces overshoot temperature 0,06 and steady state error 0,15, and overshoot 0,1 and steady state 0,4 for humidity. While on the IoT concept has been able to display the temperature and humidity values on the cage
The development of technology has increasingly sophisticated and has a positive influence on human life. The location tracking system that is currently overgrowing in the world of technology is required to be able to serve consumers until consumers can benefit from the technology. Given the number of thefts in Indonesia is currently increasing and the need for a security system that can work continuously automatically. Therefore, the purpose of this research is to make the location tracking system as expected by the community. Based on the testing that has been done on the tool and see the purpose of this research, it can be concluded that this tool has been tested and can be used to help secure systems to track valuable tools such as motorcycles, bags, cars, etc. based on Global Positioning System (GPS) coordinates sent by SIM 800L module to numbers destination of cellphone.
Factors that need to be considered of producing good quality bread are raw materials, balance formulas (recipes) and production processes. The bread dough that cannot proof perfectly has become a problem in the process of bread production. Therefore, the temperature and humidity of the room must be controlled at a certain temperature range. The solution of this problem is proposing a controller that uses Fuzzy logic to control temperature and humidity in the bread examination room. A bread proofing machine is added a controller such as evaporator that it is can controlled the temperatur and humidity automatically. The heat and steam produced are regulated using a Fuzzy logic algorithm embedded in the microcontroller with a predetermined set point of temperature and humidity is 35 oC and 80%. The test is done by determining the percentage error from the temperature and humidity test results, that is when the machine is free of load obtained the percentage error to set points is 0,429 % and 0,937 %. While the engine is loaded. It gives the results are 0,024 % and 0,015%. The results of this test prove that controlling temperature and humidity in a bread proofing machine using Fuzzy logic can provide good results compared to conventional controllers. as a result, the bread mixture can expand uniformly.
Perkembangan teknologi berdampak positif bagi kehidupan manusia. Sistem rumah pintar yang sedang berkembang pesat dituntut agar dapat melayani konsumen. Sehingga, konsumen dapat merasakan keuntungan dari teknologi tersebut. Mengingat angka pencurian di Indonesia yang semakin meningkat dan perlunya sistem keamanan yang mampu bekerja terus menerus secara otomatis. Maka dari itu, dalam penelitian ini dikembangkan sebuah sistem pengaman kunci pintu otomatis sesuai dengan kondisi laboratorium robotika UIN Sultan Syarif Kasim. Berdasarkan pengujian yang telah dilakukan pada alat tersebut, maka dapat disimpulkan bahwa alat ini telah diuji dan dapat digunakan untuk membantu sistem keamanan pada pintu rumah berdasarkan intensitas suara dari siulan yang diterima oleh sensor suara FC-04 sebesar 91,1 dBA sampai 95,4 dBA.
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