No abstract

Indonesia is predominantly Muslim country. However, around 54% of Muslims cannot read the Qur'an. Many teenagers and adults argue that this is due to lack of time, shame to learn, not having a teacher and so on. Based on these problems, many methods are formulated to help the community in learning. The Tsaqifa method is one method that is claimed to make people able to read the Qur'an in just 7.5 hours. However, along with technological advances, this method began to be considered conventional. Therefore, there needs to be a new alternative so that learning methods can keep up with technological advances. Utilization of instant messaging can be used as an alternatives to implement existing learning methods especially Tsaqifa method that is expected can help communities learn independently, quickly, easily and interactively. In this study, the application of the Tsaqifa method was carried out by developing an application of chatbot in learning the Al-Qur'an reading media that utilizes the LINE Messaging API.  Applications that have been built are tested with 2 methods that is Blackbox Testing and System Usability Scale (SUS). In testing using Blackbox Testing, the overall functionality of the application has been declared successfully run and based on the results of the System Usability Scale (SUS) test, obtained an average score of 73.3 out of 20 respondents which means the application can be accepted by the public (acceptable).

Motorbike repair shops are one of the industries which provide services for repairs, tunings, or even providing availability of parts to the customer. Punctuality is one of the most important factor to every users that uses this kind of service. Nowadays, most of the repair shops provide several means to book and to make a reservation for most customer's intended services. But, they are done manually by the management, either by direct visits or by call. This will gradually become a tedious task and requires meticulous book keeping to track a huge numbers of reservations. This research was done as an attempt to develop a responsive web-based system, starting from its basic infrastructure analysis, built in PHP with standard MySQL database system. The result of this development is intended to cater and accommodate the needs of customers for reserving services ahead as well as to find the nearest, most suitable shops for their appointments automatically. All of this system functionalities are working as intended according to black box testing method.

Public street lighting is part of a complementary road that serves to illuminate streets at night. Public street lighting lamps are generally operated throughout the night until early morning continuously without equipped tools that monitor conditions. The non-functioning of public street lighting is often not known by officers. In this study, a microcontroller-based damage monitoring tools was built with an SMS-based notification service. This tool is suitable to be implemented to monitor the state of public street lighting because it can monitor the state of lights during the day, lights go out and dim at night, and also can check the state of the lights by sending commands via SMS service. By sending the "CEK LPJU" command via SMS, the monitoring tool will give a reply regarding the state of the public street lighting. In addition, the monitoring tool will automatically send SMS regarding disturbances that occur in public street lighting. Keywords: public street lighting, SMS, microcontroller

Markerless Augmented Reality (AR) is a technology that combines two-dimensional or three-dimensional virtual objects into a real environment and then projects these virtual objects in real time without the need for a special marker. In this research, the Markerless AR application will be used to simulate room decoration with 3-dimensional objects. This research was built using the Java programming language and using supporting applications namely Android Studio and Wikitude library. Based on the results of testing with the Black-box method, the overall functionality of the application has run well, besides testing also uses the System Usability Scale (SUS) method by giving questionnaires to 20 application users. The results of the System Usability Scale (SUS) test obtained an average score of 73.13. In grouping the SUS percentile score, the value of 73.13 is in Class C, wherein this assessment the application is acceptable and can be used easily by the user.