Mobile-Assisted Language Learning (MALL) is the latest learning way in the language education where applications or websites are used to facilitate students learning activities. Mobile phone has been studied years by researchers in its connection with education-related activities. This research will focus on its main purposes, they are: 1) students’ perceptions in using mobile phone in English language learning classroom activities; 2). the problem of using mobile phone to support classroom activities, especially in English language learning. The method of the research was quantitative method which used 70 students as research object. The data were collected through a 5-point Likert Scale questionnaire. The research found; first, the students’ majority had positive perception on the usage of MALL to support classroom activities, especially in learning English language. Second, the problem in internet connectivity is the biggest problems that students faced in terms of using MALL in English language classroom. But, It is hoped that MALL will be used as one of the teaching aids that could assist students in learning English as a Foreign Language (EFL) more effectively.
Quota calculation for teaching lecturers to become routine activities carried out every month which is used as a reference for payment of honorarium teaching lecturers and management decision making. Calculation of teaching credits that are done manually requires quite a long time due to the increasing number of lecturers. In addition, mistakes and errors often occur in the credit calculation process and cause complaints from lecturers who teach in each semester. The purpose of this study is to build an application that can calculate the number of credits to teach lecturers quickly and accurately. Designing an application certainly requires a method that is specific to help during the process. Based on the developmental needs of the method, one of the important elements in the development of information needs. The method used in the design of this application is Extreme Programming which is a method that has four stages in its implementation, namely planning, designing, coding and testing. Through these four stages, it is expected that the results will be maximized and can be more helpful in the process needed. The results of this study in the form of a quota mapping application teaching lecturers that can provide convenience and accuracy in calculating the number of credits teaching lecturers quickly and accurately, able to reduce errors in the calculation process and can minimize complaints from lecturers related to teaching fees obtained
One of the important needs of environmental health is clean water. Clean water is the most important necessity of living beings in supporting survival. The study aimed to cluster the number of cleaned water customers by province (1995-2015). The method used is data mining clustering using k-means. The sample data used 34 provinces with attribute assessment of the number of cleaned water customers by province. The clustering process is done with 3 clusters, namely (C1) Cluster High, (C2) Cluster Normal and (C3) Cluster Low, for the number of cleaned water customers who are low on the need of clean water. The results showed, C1: 6 provinces, C2: 4 provinces and C3: 24 provinces. The end centroid values used are: C1 (296587.22), C2 (995898.56) and C3 (70832.29). The results obtained on the Davies-Bouldin index for “the number of cleaned water consumers” are -0.470. based on performance results, it can be concluded that k-means algorithm is best because it has the smallest Davies-Bouldin index value. Based on research results, 70% of Indonesian people are still low awareness of the need for clean water.
Abstrack-Clothing sales in stores is one of the most popular trades at the moment. Every day, there are always people coming to buy clothes according to their wishes by following the development of clothing trends that are so fast developing as happened in the ST JAYA store. ST JAYA shop is one of the many clothing stores in the new market that is still selling manually. During the sales process sometimes there are problems that often arise, such as the repeated recording of sales, the number of stock of clothes that do not match existing ones and so on. The purpose of this research is to create an information system in the form of a web application that can process clothing data including the sales process and also the reporting process. The author uses extreme programming methods to create this web application. With this method it is expected to help in the sales process and in the processing of clothing data.
Rice (Oryza sativa L.) is a very important food crop in the world after wheat and corn. It is also a staple food for most of the world’s population, especially in Asia, like in Indonesia until now. In 2014 to 2018, rice productivity tended to change dynamically. In 2018, rice productivity in Indonesia was 51.92 (Ku/Ha). This research was conducted to classify rice productivity in 34 provinces in Indonesia in 2018. The data used were sourced from Statistics Indonesia. The method or approach used in this study is the K-Means cluster algorithm to classify rice productivity data by province in 2018. The results of the research are; (1) There are 19 provinces included in cluster 0 (Medium), (2) There are 4 provinces included in cluster 1 (High), and (3) There are 11 provinces that are included in cluster 2 (Low). Based on the results of the study, it was proven that there were 4 provinces in cluster 1 (High) they are West Java, Central Java, East Java and South Sulawesi, with the highest rice productivity. Three of them were on Java Island. It shows that Java still dominates the productivity of rice plants.
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