Berbagai permasalahan yang terjadi pada sistem monitoring tangki pendam SPBU dapat menyebabkan tidak efisien dan efektifnya dalam memantau berapa debit dan volume cairan pada tangki pendam SPBU. Dengan demikian, diperlukan sistem monitoring yang dapat terintegrasi dengan perangkat komputer dan internet. Sistem monitoring ini berfungsi memberikan informasi yang terjadi di dalam tangki pendam SPBU. Konsep Internet of Things (IoT) membuat sebuah perangkat dapat berkomunikasi seperti mengirim dan menerima data melalui jaringan internet. Penelitian ini bertujuan untuk merancang sistem monitoring tangki SPBU dengan menggunakan ESP8266, sensor aliran, dan sensor ultrasonik. Aplikasi antarmuka yang digunakan adalah Virtuino dan Thingspeak yang mampu memberikan informasi secara real time kepada pengguna sehingga dapat memantau keadaan secara terus menerus tanpa harus mengecek ke lapangan. Hasil pengujian menunjukkan bahwa sistem mampu memantau dan mengirimkan data volume cairan dengan terus menerus. Dengan sistem ini diharapkan dapat membuat pekerjaan lebih efisien dan efektif untuk pengelola SPBU.

Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608This research was based on the modification of the DeLone and McLean information systems models by adding end-user computing satisfaction variables to determine the success factors for e-government systems. This model was adopted due to the aim of this study to investigate the factors responsible for the successful implementation of e-government by bringing it closer to public value. However, while the DeLone and McLean models focus more on the information system approach, the model proposed was on the premise that system quality (SQ), information quality (IQ), content (CO) and format (FO) are determinants of e-government system user satisfaction. Furthermore, the net benefits through a five-dimensional public value determinants were used to evaluate e-government websites from a community perspective. Responses from 150 communities were analyzed by smart PLS 3.0 using structural equation models to examine the relationship between the constructs of the proposed model. This study contributes to the research gap in adopting DeLone and McLean's model in the e-government due to the limitation in its validation for different contexts. The results support the effect of content variables on user satisfaction and simultaneously prove that it is possible to explain net benefits, with an r-squared value of 69.1%, using the variables in the proposed model. The five dimensions of public value adopted all proved to have a positive influence with a confidence level of 95%. The level of construct significance identified is able to help in the formulation of strategies to improve e-government services. Keywords: e-Government DeLone and McLean model end-user computing satisfaction Partial Least Squares IEEE style in citing this article: E. Sorongan and Q. Hidayati, "Integration of eucs variables into delone and mclean models for egovernment evaluation: Conceptual models," Register: Jurnal Ilmiah Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608 Integration of eucs variables into delone and mclean models for e-government … http://doi.org/10.26594/register.v6i1.1608Integration of eucs variables into delone and mclean models f...

Fuzzy logic control method has been implemented in the research relevance the setting motor is used for setting the room temperature and DC motor rotation. Setting the room temperature settings from a DC motor which rotates the rotation of a fan to stabilize at room temperature. Desired conditions in this study is that although interference with the load varies, but keep the room temperature stability can be maintained as desired. The advantage is the application of fuzzy logic controller will be more stable system that looks at the response of output produced and the system resistance to interference. With fuzzy logic controller system is easier to be adapted to various conditions in order to generate the control system stable and reliable. AbstrakMetoda kendali fuzzy logic ini telah diimplementasikan dalam penelitian relevansi yaitu pengaturan motor yang digunakan untuk pengaturan temperatur ruang dan putaran motor DC. Pengaturan temperatur ruangan berasal pengaturan putaran motor DC yang memutar sebuah kipas untuk menstabilkan suhu ruang. Kondisi yang diinginkan dalam penelitian ini adalah walaupun gangguan pada beban berubah-ubah, tetapi kestabilan temperatur ruangan tetap dapat dipertahankan sesuai keinginan. Keuntungan penerapan fuzzy logic controller adalah sistem akan menjadi lebih stabil yang terlihat pada respon dari output yang dihasilkan dan juga ketahanan sistem terhadap gangguan. Dengan fuzzy logic controller sistem lebih mudah untuk disesuaikan dengan berbagai kondisi agar menghasilkan sistem kendali yang stabil dan handal.

Abstract-Traffic jam is a major traffic problem often found in big cities of Indonesia. It is because the number of vehicles increases annually. Therefore, a simulation to detect the number of vehicles in every lane of traffic is needed to monitor the traffic. Traffic control is also required in order to reduce traffic jam. This paper develops a vehicle detection and counting system using image processing. Detection is carried out using image segmentation which is processed by object filtering and blob extraction. Morphological operators are employed for blob extraction. Testing is conducted using a video obtained from the ATCS Bandung. The video is taken at the Laswi -A. Yani intersection Bandung. Software prototypes are created in C++, using Windows Forms Application as a programming library for Windows and Open CV for image processing module. The result shows that blob detection method can give good results if there is no intersection between blobs of each car. The performance is poor when this method is used for heavy traffic conditions, where the cars are close to each other. The performance level of sensitivity is 91.67%, precision is 61.11%, specificity is 80.55%, f-Measure is 73.33%, and accuracy is 83.33%. The accuracy for vehicles detection on sunny condition is 82.11% and reduced by 76.50% on rainy condition. This method works better in quiet condition, with accuracy of 83.07%, and is reduced by 67.70% in crowded condition. The average processing time is 0.042 seconds when using video, and 0.033 seconds using real camera. Kata kunci--deteksi kendaraan, pengolahan citra digital, blob detection, morfologi, OpenCV I. PENDAHULUAN Pada setiap tahun, peningkatan jumlah kendaraan semakin bertambah. Hal ini berakibat munculnya masalah lalu lintas kendaraan, misalnya kemacetan lalu lintas, kecelakaan lalu lintas, polusi udara, dan sebagainya. Kemacetan lalu lintas telah menjadi masalah signifikan. Beberapa hal yang telah dilakukan untuk menangani masalah kemacetan misalnya awal infrastruktur transportasi, lebar trotoar, dan pelebaran jalan. Namun, hal ini belum mampu mengurangi kemacetan kota, sehingga banyak peneliti tertarik melakukan penelitian terhadap sistem transportasi cerdas (intelligent transportation systems, ITS), seperti memprediksi arus lalu lintas pada pemantauan kegiatan di persimpangan lalu lintas untuk mendeteksi kemacetan. Dalam hal ini diperlukan peningkatan pengawasan lalu lintas pada deteksi kendaraan. Deteksi kendaraan secara otomatis dalam data video surveillance merupakah bagian dari computer vision. Intisari-Deteksi kendaraan dan penghitungan kendaraan adalah hal penting dalam komputasi kemacetan lalu lintas di jalan raya. Sistem yang diusulkan di sini bertujuan untuk memberikan data jumlah kendaraan pada persimpangan jalan raya. Tujuan utama makalah ini adalah untuk mengembangkan metode deteksi kendaraan secara otomatis dan menghitung kendaraan pada simpang empat lalu lintas. Sebuah sistem diimplementasikan untuk mendeteksi dan menghitung objek secara dinamis dan statis. Pemantauan ja...

This hexapod fire extinguisher robot is constructed based on technological developments evolving very rapidly, especially in the field of robotics technology. The hexapod robot has become a big concern in the development of robotics technology with many existing contests of hexapod robot. This hexapod fire extinguisher robot is designed based on Fuzzy Mamdani Logic. The navigation of fire extinguisher hexapod robot is based on distance detection with ultrasonic sensor determining the movement of robot’s legs utilizing Fuzzy Logic. A fire extinguisher hexapod robot will explore a tunnel arena having several rooms created for the robot to explore. This hexapod robot uses Arduino as a microcontroller and uses 18 servo motors in which each foot requires 3 servo motors. Moreover, good navigation will be aimed by utilizing Fuzzy Logic in the hexapod robot design. The application of many rules on Fuzzy Logic makes the better navigation; furthermore, the results present the ultrasonic sensor having an average error of 1.256%, the Fuzzy Logic applied showing 0% error, and the overall success rate presenting approximately 80%.