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A quiz is used to test students’ understanding of the material given. Quiz in the e-learning process is conducted online. Quiz often has a time schedule, time limits, and a number of attempts to answer. The quiz that is carried out by students simultaneously is very vulnerable to failure, especially due to the problematic or slow network and the internet. Failure to answer the quiz can affect the results of the assessment. This problem will be solved by developing a desktop-based offline quiz application with a case study in the Informatics Department, Syiah Kuala University. The process of designing and developing an offline quiz application uses the Extreme Programming method. There are two parts produced in this research, namely the desktop-based offline quiz application made with .NET framework and the quiz data management application created with Node.js using the AdonisJs framework. The offline quiz application is used by students to view all the available quizzes. The process of downloading and uploading the quiz requires an internet connection but the quiz answering process is done offline. While the quiz data management application is a web-based application and is used by admins and teachers to manage all data related to courses, teachers, students, classes, lectures, questions, and quizzes. Data in both applications are connected with web service. Both applications were tested for functionality using the Black box testing method and both applications passed the testing scenarios. Both applications were also tested for usability using the SUS questionnaire method. From 50 respondents, the SUS score for the offline quiz application was 76 and the SUS score for data management applications was 73. Both SUS score results mean that the applications are acceptable with grade scale C and the adjective rating is excellent.

Determining the shelf life of food products or their expiry date is one of the most critical food industry processes. However, laboratory data's current calculation process is mostly conducted manually in spreadsheet software, requiring a statistical approach and understanding of shelf life theory. This process is time-consuming, have a higher possibility of human error, and difficult to be used by every food producer. Therefore, this research aimed to develop a web-based system for estimating the shelf life of food products using the Arrhenius method. This system was developed using the Code Igniter framework. The system will store experiment data of food products and process them to generate the shelf life. This system was designed using the waterfall model and was tested with a black-box testing method. The usability analysis of the shelf life estimation system developed was conducted using the System Usability Scale (SUS) method. This analysis was conducted by distributing SUS questionnaires to 30 respondents. The final score obtained from this analysis was 79.75 in the category Acceptable range and got a grade C, which means this system was feasible to be used.

Severe damage to a building can trap victims inside and cause human fatalities. One of the problems that emerge during the victims' evacuation process is detecting the number of victims and their location. An indoor localization system can be a solution to this problem. Indoor localization systems can utilize WLAN Access Point (AP) devices, which are generally available in most buildings that provide internet access. Therefore, this research aims to collect fingerprinting data, analyze the accuracy of victims' position using the Euclidean Distance (ED) algorithm, and build an Android mobile application to detect several victims trapped in a building WLAN network, analyze the functionalities and the usability of the application. The fingerprinting method is collected using an Android application designed explicitly for Received Signal Strength (RSS) collecting. This mapping process collects signal data from 1 and 3 sources of AP for every 2 meters in four directions. The training data is used to compare the user's current position with the actual point using the ED algorithm. The use of KNN classification gives a better result than no classification method. Also, the accuracy of point and room prediction using 3 APs is higher than using 1 AP. The accuracy of room prediction is 87% by using 3 APs. The Android application consists of regular user and rescuer applications. Both applications passed the functional testing with the Black Box method and tested for usability using the USE questionnaire method. Based on the result obtained, the application has met all of the usability requirements.

Disaster can cause damage to the buildings and can make the victims trapped inside the buildings. During this time, the rescuer team will try to evacuate the victims despite the difficulties in finding out the exact number of victims and the location of victims. This research is carried out to solve that problem by implementing an indoor localization system. Indoor localization system aims to find out person or object location using frequency emitted by wireless devices. This research will use WLAN-based indoor localization technology to design a smartphone application that can be used during a victim’s evacuation process from inside of a building. Positioning using WLAN technology or Wi-Fi can utilize Receive Signal Strength (RSS) to get the victim’s position. The victim’s estimated position will be calculated by using Euclidean distance to find the coordinates of every points in a building and the coordinate of victim. The victim’s coordinate will be stored in database server so that the data will be available and can still be accessed by the rescue team even though the building has been damaged. The design of the indoor localization system will be implemented as an Android application that is still under development.

Programming involves many skills and processes so that programming is considered difficult to learn. This is also based on a preliminary study by distributing questionnaires to 46 students in Informatics department of Syiah Kuala University. Most of respondents agree that introductory programming course is difficult and the difficulty lies in problem analysis and problem-solving logic also lack of learning media in Indonesian. Based on the preliminary study, this research will focus on the development of an e-learning media for introductory programming which has learning materials presented in multimedia, examples of problems and accompanied by exercise. The learning media will be designed as an interactive web-based e-learning. The finished application is called MARKAS C. This application consists of basic C programming materials namely: variables and data types, conditional statements, loops, arrays and pointers in the form of video, as well as examples of problems and exercises. The example and exercise are shown in interactive programming console that is divided to coding part and output part. The application quality is then analyzed by WebQual method using 5-scale scoring system, 1-5 (very unsatisfied - very satisfied). The analysis was conducted by distributing questionnaires to anonymous and random 72 Informatics students who have taken programming courses. The result is that respondents are satisfied with the quality of application for each category of WebQual (usability, information quality and service interaction). It is proved by the average value of respondents’ answers for each category, respectively: 4.167,4,178 and 4,074 of scale 5. The overall average value for three categories is 4,154 so it can be concluded that the respondents were satisfied with the MARKAS C application as an e-learning media for introductory programming (C programming).

Binarization is one of the most critical steps in document image analysis, especially in Optical Character Recognition (OCR) system. Binarization process results in two image representations: black pixel represents the text or object, and white pixel represents the background. Thresholding is the simplest binarization approach. In this paper, we proposed a new adaptive thresholding technique for binarizing ancient document. The proposed method is the combination of Niblack and Sauvola techniques. It solved Niblack and Sauvola drawbacks by determining the mean of the thresholding values of both methods. The binarization results were evaluated using FM, FMps, PSNR, NRM, DRD, and MPM. The results showed that the proposed method had remarkable performance in binarizing ancient document, especially ancient Jawi document.

Commodities are unprocessed material that can be traded. Therefore price is very important in trading commodities and can be a decisive factor in buying and selling commodities. Agricultural commodities are commodities normally found and traded in Aceh province. The agricultural information price is collected, processed and disseminated to public through agricultural market information system. Previous work done by researchers had developed a web-based agricultural commodity price information system for Aceh region which was named KomoditiAceh. User can access KomoditiAceh by using major web browser in computer. But the display in smartphone is not in best view. Thus this research developed an Android version of KomoditiAceh by utilizing RESTful Web service. There are 5 Web service methods, namely getCommodities(), getAllKo- moditi(), getKomoditiByKab(), getKomoditiSearching(), getKo- moditiByTanggal(). The KomoditiAceh Android version only uses HTTP GET method because the current Android application is only used to view agricultural commodity price information. The application can be used to view all commodities prices, view commodities prices by district, view price comparison graph and search or browse commodities in Aceh province. The usability of KomoditiAceh application was analyzed by adapting USE questionnaire. For this research, 50 people were chosen randomly for sample. The sample was divided to 4 categories based on work, they are 15 farmers, 15 traders, 10 buyers and 10 general. USE questionnaire uses 3 categories, namely Usefulness, Satisfaction and Ease of use. For each category, users agree that the application is useful and satisfying users' need. Users also strongly agree that the application is easy to use. The overall average for all categories is 4.17 which means users agree that the KomoditiAceh Android version is usable and can be implemented to disseminate commodities price information in Aceh province.

Programming is a compulsory subject in majors related to informatics and computer science at the college and university level. Programming involves many aspects of learning, starting from analyzing problems, implementing solutions with specific programming language, running programs and fixing errors or bugs. Preliminary research related to difficulty of programming has been done by distributing questionnaires to 37 students at Informatics department. The result obtained was a score of 3.7 out of 5 scale, that means most of students agreed that programming is a difficult course. Programming requires ability and skill in analyzing problems and applying algorithm to programming language. This ability is difficult to obtain if students don't have lots of practices to solve problems. Thus this research developed a prototype of application to learn basic programming concept that utilizes problem-solving method. Problem-solving method was used because this method is very relevant to the concept of programming itself, which is to solve problem with particular algorithm. So the application has many exercises to be solved and can train basic programming skills. The prototype application is named LariJava. It was implemented in Informatics department, FMIPA Unsyiah. The implementation was analyzed by using Fishbein model. Fishbein model has attributes to measure and this research used 5 attributes, namely difficulty of programming, programming logic, learning situation, lack of example with solution, and ease of use for application interface. The questionnaire was distributed to random 37 Informatics students. The calculation of Fishbein model came out with Ao score which is 78.08. That score means users' attitude toward LariJava application was positive or users positively think that LariJava can help them to learn basic programming skill through problem-solving method.

Twitter is one of popular microblogging services that allows users to write short messages up to 140 characters. Twitter active users in Indonesia have reached 29.4 million in 2017 and they have created an enormous number of tweets, a potential data source for supervised learning. In this work, six different set of n-grams words dictionaries were generated and they were used as references for creating numerical features of the tweets. We classified the tweets using k-Nearest Neighbors (k-NN) and Naive Bayes Classifier and compared the accuracy using F-measure. We also observed the classification times of each algorithm. The results show that k-NN algorithm performed better than Naive Bayes Classifier, i.e. 81.2% for F-measure using k=7. However, in terms of classification time, Naive Bayes Classifier is faster than k-NN for all k parameters.

Programming course is a fundamental and compulsory course in Information Technology field such as Informatics and Computer Science department. But many undergraduate students face difficulties to comprehend the basic concept of logic and algorithm in programming. Programming course is normally taught in classroom and also by using e-learning. But e-learning based on LMS (Learning Management System), for example Moodle, is too general to be used in learning introductory programming. Therefore, this research introduces an alternative e-learning that includes interactive multimedia to help undergraduate students learn introductory programming. The application will provide interactivity between students and application so that students can learn independently. User only needs web-browser to open the application in computer or tablet which is connected to the internet. The course materials are divided into three category, they are multimedia video, image and program code. The application will give result on the same window as where user do exercise or type program code. The course material will have many videos and one video is limited to less than 5 minutes length to ensure faster downloading and opening video.