• Publicationsclose
• GB close
• CN close
• NZ close
• Indonesian close

Human activity recognition (HAR) with daily activities have become leading problems in human physical analysis. HAR with wide application in several areas of human physical analysis were increased along with several machine learning methods. This topic such as fall detection, medical rehabilitation or other smart appliance in physical analysis application has increase degree of life. Smart wearable devices with inertial sensor accelerometer and gyroscope were popular sensor for physical analysis. The previous research used this sensor with a various position in the human body part. Activities can classify in three class, static activity (SA), transition activity (TA), and dynamic activity (DA). Activity from complexity in activities can be separated in low and high complexity based on daily activity. Daily activity pattern has the same shape and patterns with gathering sensor. Dataset used in this paper have acquired from 30 volunteers. Seven basic machine learning algorithm Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, Gradient Boosted and K-Nearest Neighbor. Confusion activities were solved with a simple linear method. The purposed method Logistic Regression achieves 98% accuracy same as SVM with linear kernel, with same result hyperparameter tuning for both methods have the same accuracy. LR and SVC its better used in SA and DA without TA in each recognizing.

People encounter many changes in the first year of college. It was related to adjustment’s problems, which was a serious problem that must be faced when entered college. Adaptation to new environment can make individual experienced stress. The various studies have shown that medical students experienced stress more higher than non-medical program students. Students who are experiencing extreme stress or depressed require serious attention cause it can have an adverse effect on learning process, achievement and even intent to suicide. This research involved 49 medical students. It took to determine the correlation between level of adjustment to academic demands and stress degree on new students in Faculty of Medicine, Islamic University of North Sumatra, T.A 2016-2017. Student Adaptation to College Questionnaire (SACQ) and Kessler Psychological Distress Scale (K10 Test) were used to collect relevant data on adjustment rates and stress levels. Data were analyzed by using Spearman correlation test. The results showed that there was a significant negative correlation between adjustment rates to academic demands with stress level on new students with p value of 0.001 (p <0.05) and r value of -0.697.

[English]: This study examined the effect of Problem-based Learning (PBL) on students' creative mathematical thinking in Indonesia during the last eight years using meta-analysis. Data were obtained from primary studies published in national journals, conference proceedings, and master thesis from 2012 to 2020. This study analyzed 19 effect sizes from 19 primary studies that fulfill the inclusion criteria. The effect size index used the Hedges' g equation and statistical analysis was assisted by comprehensive meta-analysis (CMA) software. The effect size variation test was conducted by analyzing the study's five characteristics, namely the year of study, level of education, sample size, length of treatment, and publication sources. Based on the analysis results, the overall effect size was 0.821, with a standard error of 0.130 at the 95% confidence interval (CI) referring to the random-effects model. The effect size is classified as moderate, meaning that PBL has a moderately positive effect on students' creative mathematical thinking. The results of the analysis of the characteristics of the study show that the application of PBL to improve students' mathematical creative thinking relates to the research year (Q = 55.683; p <0.05), the treatment duration (Q = 5.644; p <0.05), and publication sources (Q = 13.812; p <0.05). It was found that the PBL was more effective in conditions of treatment duration of fewer than four meetings. There is a tendency that PBL has a significant impact when it is first implemented. The findings' implications are discussed to provide important information as a basic idea for further PBL research and implementation. Keywords: Problem-based learning, Creative thinking, Meta-analysis [Bahasa]: Penelitian ini menguji pengaruh problem-based learning (PBL) terhadap berpikir kreatif matematis siswa di Indonesia selama delapan tahun terakhir melalui meta-analisis. Data diperoleh dari studi primer yang telah dipublikasikan di jurnal nasional, prosiding konferensi, dan tesis master tahun 2012-2020. Penelitian ini menganalisis 19 ukuran efek dari 19 studi primer yang memenuhi kriteria penyertaan. Indeks ukuran efek menggunakan persamaan Hedges' g dan analisis statistik dibantu oleh perangkat lunak comprehensive meta-analysis (CMA). Pengujian variasi ukuran efek dilakukan dengan menganalisis lima karakteristik penelitian yaitu tahun studi, tingkat pendidikan, ukuran sampel, lama perawatan, dan sumber publikasi. Berdasarkan hasil analisis, ukuran efek keseluruhan adalah 0,821, dengan kesalahan standar 0,130 pada interval kepercayaan 95% (CI) menurut model efek acak. Ukuran efek tergolong sedang, artinya penggunaan PBL berpengaruh positif sedang terhadap berpikir kreatif matematis siswa. Hasil analisis karakteristik penelitian menunjukkan bahwa penerapan PBL untuk meningkatkan berpikir kreatif matematis siswa berkaitan dengan tahun penelitian (Q = 55,683; p <0,05), durasi perlakuan (Q = 5,644; p <0,05) , dan sumber publikasi (Q = 13.812; p <0.05). Ditemukan bahwa PBL lebih efektif pada kondisi durasi perlakuan kurang dari 4 pertemuan. Terdapat kecenderungan bahwa PBL berdampak besar saat pertama kali diterapkan. Implikasi hasil penelitian dibahas untuk memberikan informasi penting sebagai ide dasar untuk penelitian dan implementasi PBL selanjutnya. Kata kunci: Problem-based learning, Berpikir kreatif, Meta-analysis

Penelitian ini bertujuan untuk menganalisis alasan kebijakan luar negeri Turki dalam mengimpor minyak Iran di tahun 2018. Amerika Serikat selaku aliansi Turki kemudian menjatuhkan sanksi terhadap negara-negara aliansi yang mengimpor minyak dari Iran. Untuk menganalisis, peneliti menggunakan two-good theory of foreign policy dari Morgan dan Palmer, yang mendiskusikan dua tujuan dari kebijakan luar negeri (proaction dan security). Pengumpulan data dan analisis dilakukan dengan metode kualitatif serta pendekatan eksplanatif-analisis. Peneliti menemukan bahwa tujuan kebijakan luar negeri Turki adalah proaction. Hal ini disebabkan oleh dua faktor. Pertama, inefisiensi kerjasama Turki-AS. Kedua, kapabilitas Turki; kekuatan militer Turki yang pada tahun 2018, termasuk sepuluh terbaik di dunia. Dilanjutkan dengan alternatif aliansi Turki dengan China, Iran, dan Rusia, di mana center of alliance berada pada Rusia. Tidak hanya itu, Turki juga memiliki power baik secara regional dan internasional, yang ditandai dengan penunjukan Turki sebagai negara penengah konflik Suriah-Israel pada tahun 2011 serta posisi tawar Turki terhadap AS mengenai kawasan Incirlik. Kata-Kata Kunci : Kebijakan Luar Negeri, Turki, Amerika Serikat, Proaksi

The dominant role of commercial banks as a source of finance and the considerable asymmetry of information in financial markets in developing countries have raised an argument that the bank lending channel of monetary transmission mechanism would be very important in such countries. This study addresses the issue by investigating empirically whether there are differential effects of monetary policy on banks’ balance sheets, and its implications to the existence of the bank lending channel of monetary policy in Indonesia, especially since the early 1980s when the government adopted a policy of financial deveculation. We find significant differences of balance sheet behavior across bank clashes in response to a change in monetary policy, consistent with the predictions of the bank lending view. We also found that because of access to foreign funds and the existence of bank loan commitment, the monetary policy was unable to constrain loan supply by the large (state) banks, indicating that the bank lending channel operates through smaller (non-state) banks.

Diarrhea is still a public health problem in developing countries such as Indonesia because morbidity and mortality rates are still high in these areas. A morbidity survey conducted by the Diarrhea Department of the Ministry of Health in Indonesia between 2000 and 2010 shows rising incidences of diarrhea in children. In 2000, Incidence Rate (IR) diarrhea incidents occurred in 301/1000 members of the population, and this increased to 411/1000 in 2010. Cases of diarrhea have become dangerous when suffered by infants because the mortality rate will increase because weaker immunity than olders. Environmental factors such as water, waste, and toilet contribute greatly to cases of diarrhea; therefore, in this research, we analyze environmental characteristics’ effects on the incidence of diarrhea in infants in Palembang. This study uses a mixed-method design combining quantitative data collection using secondary data from the Department of Health with qualitative data collection using in-depth interviews of Palembang’s local government and health center personnel in the districts with the highest and lowest cases of diarrhea. Quantitative data analysis are visualized in the form of a map, while qualitative data are analyzed using content analysis. The results show that Ilir Timur I has the highest incidences of diarrhea while the Sako district has the lowest. Based on the results of the analysis, Ilir Timur I has more cases of diarrhea largely because of its non-working area health centers. Sako has the fewest cases of diarrhea because the clinics, doctors, and midwives in private practice in the region of Sako do not report the cases, as well as because of factors related to access remote health centers. Therefore, interventions based on health data for diarrhea need to be restyled for a drastic reduction of diarrhea cases. Keywords: Area, diarrhea, children, characteristic, environment, data

Tomatoes have nutritional content that is very beneficial for human health and is one source of vitamins and minerals. Tomato classification plays an important role in many ways related to the distribution and sales of tomatoes. Classification can be done on images by extracting features and then classifying them with certain methods. This research proposes a classification technique using feature histogram extraction and Naïve Bayes Classifier. Histogram feature extractions are widely used and play a role in the classification results. Naïve Bayes is proposed because it has high accuracy and high computational speed when applied to a large number of databases, is robust to isolated noise points, and only requires small training data to estimate the parameters needed for classification. The proposed classification is divided into three classes, namely raw, mature and rotten. Based on the results of the experiment using 75 training data and 25 testing data obtained 76% accuracy

Technological advances have made possible to reduce limitation of space and time in learning. Students can interact with teachers and other students indirectly without face to face meetings through e-learning media. To create effective e-learning media, factors to be mainly considered are multimedia learning principles, one of which is contiguity. Thus, this study was aimed at developing e-learning media with the contiguity principle and examining its quality. The media were tested for measuring its effectiveness by statistically analyzing the differences in students’ learning achievement and motivation. This study was research and development using quasi experimental techniques whose subject is Vocational High School also known as Sekolah Menengah Kejuruan Negeri 2 Yogyakarta. The result of this study was e-learning media with the contiguity principle. The feasibility evaluation showed that the product had good quality in the aspects of media and materials. The effectiveness testing showed insignificant differences in learning achievement and motivation between the students using e-learning media with the contiguity principle and without the contiguity principle with the scores of 0.325 and 0.873 respectively.

<p>The phenomenon of measuring behavioral loyalty on specific stores or merchants obviously popular, particularly despite the existence of structural and fundamental criticism on specific issue. The objectives of this research is to examine the antecedents of customer loyalty specifically on store loyalty. We operate survey method to gather primary data. The focus of the research is to examine the effect of perceived value, store image, and customer satisfaction on store loyalty. The results indicate that customer who perceive low perception of procedural switching costs and high perception of procedural switching costs experienced different perception in their perceived value on customer satisfaction, perceived value on loyalty, and store image on customer satisfaction. The results shows that the perceived value, store image, and customer satisfaction has a positive and significant relationship of store loyalty in the different perception of procedural switching costs. Furthermore, procedural switching costs play a significant role in moderating the relationship between customer satisfaction and store loyalty. There was an indirect effect in the relationship between perceived value and store loyalty, which was mediated by customer satisfaction. The indirect effect of the relationship between store image and store loyalty was also proven to be mediated by the customer satisfaction.</p>

The stability and convergence time become an essential factor in network availability performance . Multiprotocol Label Switching ( MPLS ) is one of the V irtual P rivate N etwork (VPN) technologies that can support the quality of communication media on the high-speed backbone network. Therefore, it is necessary to determine the proper protocol routing in espousing VPN technology based on MPLS supported by direct-link backup to improve network availability in the Data Center. T he purpose of t his study is compar ing the convergence time and Q uality o f S ervice (QoS) among the three IGP protocols routing, namely R outing I nformation P rotocol version 2 (RIP) , Open Shortest Path First ( OSPF ), and Enhanced Interior Gateway Routing Protocol (EIGRP) based on two autonomous system number using Ring topology design between Data Center and DRC. Network scenario is created using the Graphic Network Simulator (GNS3) application to measure convergence time and QoS parameters of the three protocols routing and the use of MPLS-TE and RR in enhancing MPLS backbone performance. The results revealed that QoS in the three protocols routing has a good quality level according to TIPHON’s standard with the number of indexes up to 3.25 (Good) . On the other hand, the fastest convergence time when interruption on the main link (VPN) is EIGRP with convergence time for about 15 seconds.