The implementation of face recognition technique using CCTV is able to prevent unauthorized person enter the gate. Face recognition can be used for authentication, which can be implemented for preventing of criminal incidents. This re-search proposed a face recognition system using convolutional neural network to open and close the real-time barrier gate. The process consists of a convolutional layer, pooling layer, max pooling, flattening, and fully connected layer for detecting a face. The information was sent to the microcontroller using Internet of Thing (IoT) for controlling the barrier gate. The face recognition results are used to open or close the gate in the real time. The experimental results obtained average error rate of 0.320 and the accuracy of success rate is about 93.3%. The average response time required by microcontroller is about 0.562ms. The simulation result show that the face recognition technique using CNN is highly recommended to be implemented in barrier gate system.

Penelitian ini bertujuan untuk mendeskripsikan penerapan prinsip kerja sama yang terdapat di dalam naskah drama riḥlatun ilā al-gad karya Taufik Al-Hakim. Teori yang digunakan pada penelitian ini adalah teori pragmatik dengan 3 tahap metode penelitian; yaitu tahap penyediaan data dengan menggunakan metode simak dan catat, tahap analisis data dengan menggunakan metode  kontekstual, dan tahap penyajian hasil analisis dengan menggunakan metode informal. Berdasarkan hasil analisis yang dilakukan dapat disimpulkan bahwa di dalam naskah drama riḥlatun ilā al-gad karya Taufik Al-Hakim terdapat empat (4) maksim kerja sama. Maksim-maksim tersebut adalah maksim kuantitas, maksim kualitas, maksim cara atau pelaksanaan, dan maksim hubungan atau relevansi. Di dalam naskah drama ini juga ditemukan pelanggaran terhadap prinsip kerja sama yang bertujuan untuk menciptakan implikasi tertentu terhadap tuturan.

Major cities of the world have realized the importance of developing green-minded cities as part of dealing with global climate change. The concept of urban farming as one of the offer solutions that comes with a method of agricultural activities in the city by utilizing limited areas, such as the Surabaya area. as a busy city and a dense road traffic activity is one of the challenges of the Surabaya region in developing green space based on Regional Regulation number 7 of 2002 concerning the management of green open spaces. On the other hand, the development of information and communication technology has stepped in the industrial era 4.0, one of which is the presence of Internet of Things (IoT) technology based on Message Queuing Telemetry Transport (MQTT) protocol. The method used in this paper is descriptive qualitative and experimental-based product development. The focus area of the analysis is the implementation of Regional Regulation 7/2002 and its implementation in the field, while the proposed product development is monitoring environmental parameters such as plant temperature, ambient humidity, soil moisture level and light intensity processed for automation control of urban agricultural irrigation. The results show that the Surabaya city government has consistently implemented the local regulation through various activities and is supported by all components of Surabaya residents, while the IoT-based product development shows that this technology can be applied and accepted by the Surabaya urban farming community.

The number of food delivery apps users has increased nowadays due to the recent global pandemic situation of the coronavirus outbreak. Food delivery apps bring many benefits to the students and catering business. This paper aims to study the impact of food delivery apps on customer perceived value among university students. A quantitative approach was used in this study. Cross-sectional design used as the design of the study and the data will be gathered at one point in a time. Questionnaires used to collect the data from all respondents. The respondents were university students with the number of samples as many as 101 people. The results found how food delivery applications had an impact on customer perceived value among university students in Malaysia during the pandemic and it can be said that respondents gave a lot of positive feedback on food delivery service, where they believed in the products and service provided.

ArabEasy is an application to learn and understand basic concepts of Arabic. This app has a problem with the user interface (UI); based on the comment from users, UI this app is confusing to use. This research focuses on measurement and testing based on usability level using the PACMAD model. Data collection was obtained from Performance Measurement, SUS Questionnaire, NASA-TLX Questionnaire, and RTA Questionnaire. The result from this process is measured using usability metrics, statistical testing,  and calculation from the questionnaire, respectively. The next process, making a recommendation to improve UI, became a prototype based on The four Golden Rules of User Interface Design. The result of this process showed increased effectiveness 37.22%, efficiency 46.08%, satisfaction 24.25. Furthermore, errors aspect decreased 13.4%, and the cognitive load 18.54.