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The development of research in the field of real-time face recognition is a study that is being developed in the last decade. Face recognition is used to identify person from an image or video. Recognition rate and computation time of real-time face recognition is one of the big challenges that must be developed. This study proposes a model of face recognition using the method of feature extraction by combining three level wavelet decomposition and Principal Component Analysis (PCA) and using the method of mahalanobis distance for the classification section (3WPCA-MD). A 3-level wavelet decomposition is used to decompose images by reducing the resolution used for those images. Using wavelet decomposition up to level 3 will produce an image with a very low resolution so as to reduce the value of the resulting computation time to be processed using PCA. Mahalanobis distance method is used to determine the degree of similarity among the features to produce a more optimal face recognition. Based on the results of experiments that have been done, they generated improved face recognition with high face recognition accuracy of up to 96% in average and produced faster computation results of face recognition if compared to ordinary PCA method. The average computation speed value obtained using the method of 3WPCA-MD was 5-7 milli-second (ms) for each face recognition process.

<p style="text-align: justify;">The curriculum of an elementary school of Indonesian education currently emphasizes the affective aspects as a result of student learning for the sustainability of national development. This fact encourages teachers the responsibility to create and develop effective learning tools to foster tolerance, nationalism, be communicative and friendly, love peace, and social care. The objective of the study is to analyze the needs of students in elementary schools towards the development of educational comics to foster character development. This study uses qualitative approach. Participants were 120 fifth grade students. A questionnaire was used to collect the data of the study. The data were analyzed using an interactive model. The results of the study revealed that there was an interest of students in comic media as a teaching aid containing local wisdom values for character education. In the aspect of construction, comics are needed that are related to the ideal scope and size of the comics. In the aspect of content required comic material set in a national culture containing local wisdom, presentation of the story with the contents of an illustration of nationalism and social awareness. As for the design aspect and appearance, characterizations of cartoons are needed, involving a variety of colors, fonts of proportional size. The conclusion of this research is the development of educational comics media with local wisdom is needed to fulfill the needs of elementary school students as an effort to foster character.</p>

The digital era describes the presence of technology where everyone can exchange information so quickly by the internet. For an institution, a website has its own benefits, among others, as a media for promotion, presenting information, and providing online services. This study aims to evaluate and improve website performance by analyzing the quality of the Sebelas Maret University selection of new student admissions (SPMB) website by utilizing a combination of WebQual 4.0 and Importance Performance Analysis (IPA) methods. In its analysis, WebQual method looks at 3 main dimensions: Usability Quality, Information Quality, and Service Interaction Quality. This research, which involved students in UNS, found that the website’s gap analysis still has a negative value on all attributes and there are several attributes that require improvement related to website design, presentation of detailed and up-to-date information and navigation on the website. The results from this study are expected could be used as evaluation for the SPMB website’s development to meet user expectation.

This is an empirical study of economic measurement of the optimal size of seven cities in West Sumatra region, Indonesia. The empirical findings are quite interesting since the calculated optimal city size does not result in a single measure as mostly previous studies found, but they vary in accordance with the economic approaches used. The optimal city size measured by using the maximum profit approach would have been larger in size compared to those measured by the minimum cost and maximum net benefit approaches. Meanwhile, the cities measured by using the maximum net benefit have larger size than those of the minimum cost. Unlike previous studies, the measurement of optimal city size in this study is performed in terms of population density rather than the total population, in order to consider the influence of land area to the optimal city size. Moreover, by using the population density, the optimal city size becomes a relative index which enables us to compare it with the related size in other regions.

The Environment is one of the factors influencing the development and productivity of the bee colony. Favourable environment will significantly support bee productivity. The factors which influence the bees activity include temperature, humidity, light intensity, wind speed, rainfall, and food availability. The aims of this study are to know the influence of environmental factors on activity and propolis production of stingless bees. This study used six colonies of Tetragonula laeviceps into two different locations, monoculture and polyculture nutmeg farm. The method used is a direct observation of the activities and propolis production of stingless bee and analyzed by t-test. The study results of T. laeviceps in monoculture and polyculture farms showed that the activity of the bees was influenced by environmental factors influencing propolis production. The activities would start when the temperatures ranged from 22-23 oC, humidity 70-88%, and light intensity 183-4344 lux. The peak activity of the bees occurred at the temperatures of 26-28 oC, humidity 55-71%, and light intensity 46.875-91.347 lux. The propolis produced by T. laeviceps was 27.79 g in the monoculture farm and 48.80 g in the polyculture farm. The significant difference was predominantly due to the environmental factors.

This In many situations, autonomous robots can provide effective solutions to menial or dangerous tasks. In this case, it is desirable to create an autonomous robot that can identify objects from the conveyor belt and relocate them if the object meets certain criteria. Obviously, when dealing with a large number of objects, this is a very menial task. This is an excellent application for a robot of this type. The problem we are attempting to solve is to create an autonomous robot that can navigate within an area, identify objects on the conveyor belt based on color sensing, and then sort by relocating them to a specific location. The gear dc motor is used to control the conveyer belt. Robot free balance wheel is used to support the conveyer belt on the other end.

Javanese language articles can now be found in electronic media. But for people who are just learning the Javanese language, they have difficulty in knowing the language level that is contained in the article because there is no explanation regarding the type of language level. For this reason, it is necessary to classify the language level in Javanese language based on the article, where the Javanese language is divided into 4 levels, namely ngoko, ngoko alus, krama madya, and krama alus. Before beginning the classification process, the data must be preprocessed. One of the steps in preprocessing method is stemming, which is used to convert the affixes in words into basic words. The Javanese stemming process in this research refers to the Indonesian stemming rules based on the adjusted Nazief-Adriani algorithm. The extraction feature process was carried out using N-Gram with n = 2, 3, 4 (bigram, trigram, and quadgram). After finishing the preprocessing method, the classification process then was executed using Multinomial Naïve Bayes method. In the classification process, there often exist problems related to imbalance data between categories. To overcome this problem, SMOTE resampling method is utilized to balance the data. The classification with N-Gram variations accompanied by SMOTE and using stemming results to maximum accuracy of 67.01% at n = 2, then for the highest precision was at N-Gram n = 4 with condition not using stemming but using SMOTE at value 72.67%. The highest recall value was obtained in two conditions, namely at N-Gram n = 2 either using or not using SMOTE and use stemming, which is 67.00%. From the results of this study, it can be concluded that stemming rules which are adapted from Nazief-Adriani algorithm with the addition of stemming steps and affix list from Javanese language expert can be implemented properly for Javanese language stemming process. And the classification of the Javanese Language level using Multinomial Naïve Bayes and N-Gram methods can result in good enough accuracy, precision, and recall.