ANALISIS ANTENATAL CARE (ANC) PADA SURVEILANS KESEHATAN IBU DAN ANAK DENGAN TAHAPAN AGREGASI PIPELINE NOSQL

Case 30.8 percent of Indonesian children under five are stunted. Bantul is a district in the Province of D.I. Yogyakarta, Indonesia, is a locus of stunting. Bantul has ten villages. The ten villages include Patalan Jetis Village, Canden Jetis Village, Terong Dlingo Village, Argodadi Sedayu Village, Triharjo Pandak Village, Triwidadi Pajangan Village, Jatimulyo Dlingo Village, Datangharjo Sewon Village, Sendangsari Pajangan Village, and Trimulyo Jetis Village. The research focuses on the village of Argodadi Sedayu. In the village of Argodadi Sedayu, Antenatal Care (ANC) research would be conducted. Antenatal Care (ANC) is a pregnancy check by a doctor or midwife. Therefore, Antenatal Care Analysis (ANC) is needed to determine whether diet, parenting, and sanitation are well programmed. Antenatal care (ANC) research framework was a model of method improvement. The method improvement model consists of indicators, proposed methods, objectives, and measurements. The indicators consist of monitoring instruments and health visits. The proposed method uses an aggregation pipeline stage. The data was processed in the aggregation pipeline stage. The data were obtained from the time series data surveillance dataset. The research objective was to analyze the research results accurately according to the proposed method. Measurement of indicator analysis with the application of the dashboard as a performance indicator on the research results. Practically, it is hoped that the research results could consider the health office and related institutions in reducing or even elevating Argodadi Sedayu Village in Yogyakarta as a non-locus of stunting using massive monitoring of diet, parenting, and sanitation well programmed.

Analysis on Academic Benchmark Design and Teaching Method Improvement under Artificial Intelligence Robot Technology

To allow robots to better complete teaching tasks in the education field, based on artificial intelligence robot technology, the academic benchmark is designed for information technology teaching. First, LEGO MINDSTORMS EV3 is introduced for statement, which is developed through information technology courses based on robot education. Then, according to the sensor teaching in robot education, the teaching contents are designed for the information technology course. After that, the teaching method is improved based on sensor teaching for the information technology course. Finally, the feasibility is evaluated of the existing of teaching resources, and the effect of information technology teaching is analyzed through a questionnaire survey. The results show that more than 80% of students are interested in robot teaching, and more than 70% of students can master relevant theoretical knowledge in practical operation, which proves that robot education can arouse students' interest in information technology courses. In conclusion, the learning methods proposed in this study can enable students to better master related theories, and improve students' operation and innovation abilities. The study provides a reference for the application of artificial intelligence robot technology in the field of education.

Improving Work Efficiency and Productivity with Line Balancing and TPS Approach and Promodel Simulation on Brush Sub Assy Line in Automotive Companies

From Gaikindo’s data, the impact of the covid-19 effect caused the automotive industry to experience a 50% contraction; PT Denso Indonesia, which is an automotive component company, felt the impact where actual production fell by 30% in the first quartile of 2020, the company’s adaptation was efficiency and productivity and activity cost down. The problem with the starter line is that there is a difference in the cycle time of each post in the sub-assy starter brush line, too gaping. From this problem, the researchers analyzed with the TPS and Line Balancing methods with the help of pro model simulations, from these activities evaluated the performance line from the previous line efficiency of 89.05% Balance Delay: 10.95% and Smoothie Index 12.58 improved to line efficiency of 93.59% Balance Delay: 6.35% and Smoothie Index 6.10. However, there are still bottlenecks, following which improvements will be made using line balancing with pro model simulations; pro model simulations were chosen because to make repairs, it is enough to use the help of applications that are in line with the goals of the company, which is currently survival amid this intense competition. After the repair was done using the Helgerson Bernie approach, a simulation of the line balancing method improvement was carried out. The line efficiency value was 95.76% Balance Delay: 4.24% and Smoothie Index 4.45 with a total outflow of 131 units of goods every 1 hour.

Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework

Hand drawing is an indispensable professional skill in the fields of environmental design, industrial design, architectural engineering, civil engineering, and other engineering design education. Students usually imitate masterpieces to practice basic skills, which is an important link for a beginner. A system for digital management requires a function for an automatic recommendation task of different brushwork skill expressions. Thus, the classification method for brushwork is to combine hand-crafted features generated by DCNN and then use the final features for input to a tree structure classification scheme. The method improvement of the other deep learning models has effectiveness in distinguishing art ontology attributes.