bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Test Instrument Based Realistic Mathematics Education to Improve High Order Thinking Skills
Authors: Fadlila N , Sagala P N 
Published: March 2021

Abstract
Based on result of PISA 2015 in mathematics showed that characteristics of learning mathematics Indonesia students still used to the Lower Order Thinking Skill. Based on it, developed test instrument becomes important. This Research aims to develop and produce a test instrument based on realistic mathematics education to improve the high order thinking skills for grade VIII students. The type of research is a development research (Research & Development), where this research using the ADDIE model. ADDIE consist five stages: Analysis, design, development, implementation and evaluation). This research was conducted in one of the junior high schools in Medan. The result showed that the quality of test instrument had been successfully developed from validity aspect, practicality aspect and effectiveness aspect.
Facial Emotion Detection Using Haar-Cascade Classifier and Convolutional Neural Networks
Authors: Riyantoko P A , Sugiarto  , Hindrayani K M 
Published: March 2021

Abstract
Computer vision has the challenge to detect the facial emotions of humans. Recently, in computer vision and machine learning, it’s possible to detect emotion from video or image accurate. In our research will propose to classify facial emotion using Haar-Cascade Classifier and Convolutional Neural Networks. The experiment uses the FER2013 dataset which was collected for the facial expression recognition dataset, and we proposed seven classified facial expression. The CNN model gain MSE and accuracy value based on epoch variety. The results showed that with the increase in the epoch value, the smaller MSE value would be obtained, likewise, the accuracy value would be increased. Thus, the proposed algorithm of CNN is proven to be effective for facial emotion detection.
Generation Reliability Enhancement based on Reliability Indices
Authors: Al-Bahrani L T , Saaed W , Al-Kaabi M 
Published: March 2021

Abstract
Reliability of generation system is an important aspect of planning, designing and operating for forecasting the plant capacity growth to make assurance that the totality generation is adequate to secure demand. The probability distributions correlating with the reliability indices may be utilized as complementary measures for accurate description and worthy information for system planners and operators. In the current research, the yearly load demand and its impact on the reliability of generating units was highlighted by some reliability indices that standardize against the international usefulness custom which are, Loss of Load Probability LOLP, Loss of Load Expectation LOLE, Loss of Energy Expectation LOEE, Loss of Energy Probability LOEP and Expected Energy Not Served EENS. This article is also dealing with the issue of generation capacity reserve assessment and the relation between the system reliability level and the expansion of the load. The notion of capacity extending analysis is clarify using a system of 4 stations. The effect on system reliability of adding a generation unit to the overall system can be observe in terms of decreasing the reliability indices and increasing the system Effective Load Carrying Capability (ELCC). This article has been used the Loss of Load Expectation LOLE in terms of day/ year as a critical limit for reliable and unreliable system.
Dengue prediction model: A systematic review using social network analysis
Authors: Wahyuni S N , Sediyono E , Sembiring I 
Published: March 2021

Abstract
Since 1968, Dengue Harmonic Fever’s incidence in Indonesia has continued to rise and has become a public health issue. Indonesia has the largest number of Dengue Harmonic Fever cases than 30 other epidemic countries worldwide. It is very important to carry out research related to dengue cases’ prediction to prevent the spread of Dengue. This literature review is intended to determine the extent of the dengue prediction approach carried out by previous researchers, and a research gap will be obtained. The algorithm used to cluster articles is a modularity algorithm, using several open-source tools to process data. The online databases used are Google Scholar and Crossref by using keywords: journal, algorithm, prediction, and Dengue. The data are taken from the expansion of 1928-2020. This study’s results are 200 articles that are suitable and divided into four clusters of important articles. Also, several important parameters were obtained in the prediction study of dengue fever, namely humidity, temperature, rainfall, and population density.
SIMO Converter Design as Emergency Power Supply Multi Output for Disaster Areas
Authors: Ferdiansyah I , Effendi M Z , Shamil M 
Published: March 2021

Abstract
This paper discusses the design of emergency power supply systems in disaster affected areas. Communication and information on post-disaster conditions is very important to be known by the family or authorities. However, a condition that often occurs after a disaster is that the communication system is cut off due to loss of electricity sources. The proposed system aims to provide backups of electrical energy especially in communication equipment such as cellphone chargers and Backup Battery systems on BTS. The flyback converter topology applied provides a multi output voltage of 5 volts for cellphone chargers and 13 volts for Battery systems on BTS, where each system is able to provide an SOC of 20-40%.
Prototype of Wearable Glasses for Body Temperature Monitoring for COVID-19 Mitigation
Authors: Hendry J , Sumanto B , Prayoga B T , Budiani R L , Lestari R A , Yuda P P , Nugroho A A 
Published: March 2021

Abstract
Fever is one of the initial presentations that a suspect of COVID-19 might have. Fever is indicated by body temperature higher than normal, which is more than 37.12°C. A thermometer gun is one device that is utilized to measure body temperature. But it requires a short line-of-sight distance between the device and the subjects (< 30 cm). In public facilities like shops, malls, schools, colleges, hospitals, and airports, the device’s use can initiate crowded or queue that higher the COVID-19 infection potential. In this research, wearable glasses is designed to replace such device. The prototype was built to display the thermal-map and body temperature of a single suspect. It can measure body temperature up to 2.5 meters. Based on the evaluation, the average error was about 0.57°C. Recalling that the used thermal array sensor’s inaccuracy is ±2.5°C, then the prototyping has a high potential for further use.
Design SEPIC Converter for Battery Charging Using Solar Panel
Authors: Putri B R , Sudiharto I , Ferdiansyah I , Karso A B , Yanaratri D S 
Published: March 2021

Abstract
Indonesia is a tropical country and has a great potential in alternative source of solar energy. Solar energy is friendly for environmentally because it does not make pollution and is renewable energy. Using solar energy can reduce fossil energy which is this energy can’t be renewed and if used continuously it will be used up. Sunlight is solar energy that can convert the light energy into electrical energy by using solar panels. This paper presents details the design of the SEPIC Converter to Supply Electrical Energy to a Smart Lamp with Solar Energy. Sunlight energy is not always in maximum condition, so to maximize the power produced by solar panels are needed a control system to maximize the output power of converter. This experiment use 2 solar panels, each of 100 WP and arranged in parallel. The control system use PI control. The function is to generate the output voltage for battery charging. Time response of PI control is 0.6 s to according to the set point value of 14 volt for battery charging with the battery capacity is 20 Ah 12 volt. Cohen Coon method is used to find the PI control parameter. So using PI control with Cohen Coon method can make battery charging according to the set point even though solar panels has shading.
Inner Join Query Performance: MariaDB vs PostgreSQL
Authors: Hairah U , Budiman E 
Published: March 2021

Abstract
Research to test the performance of inner joint queries between MariaDB and the PostgreSQL database management system. Inner joint queries have the same output in MariaDB and PostgreSQL DBMS. This study aims to provide a comparative analysis of the response time performance of MariaDB and PostgreSQL databases in the use of inner join queries. The research test was conducted with 1,050,000 records using 21 response time data collection scenarios ranging from 50,000 data to 1,050,000 data collection with multiples of 50,000 data. The PostgreSQL DBMS was found to have better response times than MariaDB in all test scenarios. The results of the regression analysis to test the effect of using the F-test show that there is a significant effect on the amount of data and the relationship together on the response time in MariaDB and PostgreSQL. Then the T-test is carried out to strengthen the results of the study that PostgreSQL has a faster response time than MariaDB, testing 1 combined relationship shows a significant difference, testing 2 combined relationships shows a significant difference and testing 3 combined relationships shows a significant difference.
TEGAR: Tempe Freshness Determination on Mobile Application
Authors: Permana A A , Perdana A T , Riadhi R 
Published: March 2021

Abstract
This research proposes Tempe Segar ‘TEGAR’ as mobile application for freshness determination of tempe based on tempe image on the Android operating system. Three kinds of freshness, including very good, good and not good were used to categorized tempe freshness. In this research, we used 50 tempe samples that were consisted of 25 tempe with plastic wrap and 25 tempe with leaf wrap. Tempe image was taken using mobile phone camera as digital tempe image then extracted using Local Binary Pattern (LBP). Detection accuracy and consumer satisfaction of TEGAR application were evaluated using questionnaire. The evaluation results show that TEGAR application is promising application to determine tempe freshness. TEGAR application will help consumer to determine tempe freshness as an important indicator of good quality tempe. The freshness of food directly or indirectly will affect the health of consumer.
The effect of the internet during COVID-19 on work using the manova algorithm
Authors: Nurhayati A 
Published: March 2021

Abstract
This study aims to find information about the major impact of the internet sites frequented by university alumni on the fate of those who are fast finding jobs and those who have not found work during the COVID-19 pandemic. This research uses a field survey method of university graduates, both those who have found jobs and those who have not. This study uses the manova algorithm with a GLM approach. The results of this study indicate that there is a very large impact on the types of internet sites that are most visited by people who are already working with people who have not worked. This research is only conducted in big cities and can be used to awaken the awareness of university alumni to find jobs more quickly by paying attention to their priorities every time they use the internet.
Sustainable alternative futures for agriculture in India—the energy, emissions, and resource implications
Authors: Ashok Kaveri , Natarajan Ramya , Kumar Poornima , Sharma Kabir , Mathur Mihir 
Published: March 2021

Abstract
India’s falling aquifer levels, erratic monsoons, arable land constraints, stagnating crop yields, growing food demand, and rising greenhouse gas (GHG) emissions necessitate that strategic interventions be planned and implemented to maintain food security in the country. In this paper, we present two novel system dynamics simulation models—termed ‘Sustainable Alternative Futures for India’ (SAFARI) and SAFARI-R (a regionally disaggregated version of SAFARI)—that can be used to develop and analyse specific interventions required at the national and regional levels to sustainably maintain food security. Our simulation results show that increasing micro-irrigation coverage, limiting sugarcane cultivation, and improving water recycling in domestic and industrial sectors can help achieve food production sufficiency within the limitations posed by the availability of natural resources. Alternatively, a behavioural shift towards eating (and cultivating) coarse cereals instead of rice (which is water intensive) is another effective intervention, especially when combined with micro-irrigation or crop yield improvements, and reduced sugarcane cultivation. When compared to a scenario where current practices continue, these alternative pathways to food security can reduce annual water consumption for irrigation by 18%–24%, electricity demand for irrigation by 60%–65%, and the agriculture sector’s total (direct + indirect) GHG emissions by 17%–25%, by 2050. Further, simulations on SAFARI-R indicate that the north, centre, and west zones of the country are considerably pressed for water, while the south and east zones could run out of land. As a way to meet the food demand in these zones in future, the possibility of crop redistribution is explored along with other strategies such as reducing groundwater dependence.
Divergent responses of ecosystem water use efficiency to drought timing over Northern Eurasia
Authors: Huang Mengtian , Zhai Panmao , Piao Shilong 
Published: March 2021

Abstract
Warming has resulted in increases in frequency, intensity and/or duration of droughts in most land regions over the globe. Nevertheless, knowledge on how ecosystem water use efficiency (WUE) responds to extreme drought stress and whether the responses are affected by drought timing is still limited. In this study, we examined the changes in ecosystem WUE under extreme drought years over Northern Eurasia during 1982–2011 and further assessed WUE responses to droughts with separate groupings designed to characterize the timing of extreme drought stress. We found that drought timing indeed influenced the responses of ecosystem WUE under extreme drought years. Negative impacts of extreme drought stress during the dry season on ecosystem WUE were more remarkable than those from extreme drought stress during the wet season. Particularly, impacts of droughts on ecosystem carbon–water interactions differed among ecosystem types due to the specific hydrothermal condition of each biome. The information provided by our analyses plays an importance role in identifying water use strategies of terrestrial vegetation in response to drought stress and will help improve our understanding and predictions of the response of ecosystem WUE to global environmental change.
Developing Small Dual-Fuel Diesel Engine to Control Marine Pollution by Reducing NOx Emission for Application in Fishing Vessels
Authors: Santoso A , Semin  , Cahyono B , Sampurno B 
Published: March 2021

Abstract
Using natural gas for fueling a ship growing extensively since environmental issues become one of the priorities in the shipping industry. The ship uses natural gas as the main fuel commonly called as a gas-powered ship. Gas has lower specific prices compare with any type of diesel fuel. But due to handling, storage, and distribution costs then gas prices for ships become higher even still a bit cheaper than diesel fuels. Besides prices, technically gas is cleaner so it may give the lower emission levels. Dual fuel technology is the best choice in occupied gas as ship fuel due to the existence of the IGF Code. Established Dual-fuel diesel engine is very expensive and available for big power capacity. This research develops a small dual-fuel diesel engine from a conventional engine with power less than 10 HP. The piston crown is a part of the engine that was modified so that the engine can use natural gas in the best performances as the conventional one. NOx as the most hazard emission in the diesel combustion process is controlled to be as the lowest as possible. The quality of air may be significantly affected by those small engine pollutions because of the large number of vessels in that dense environment in the typical fishery villages. In conclusion, the modified dual-fuel diesel engine capable of reducing NOx emission by up to 31% at a practical safe operation of 50% dual-fuel. The higher gas portion gives a lower NOx emission level.
The Estimation of Hourly Solar Radiation on tilted Surfaces using Artificial Neural Network: A Case Study of Surabaya
Authors: Kurniawan A , Masroeri A A , Koenhardono E S , Kusuma I R , Prananda J , Sarwito S 
Published: March 2021

Abstract
This study aims to generate an accurate model for estimating the radiation of solar panels on different inclination angles. The output of this model is useful for determining the optimal installation angle of the solar panel either on land or on the ships. Furthermore, the amount of the hourly direct and diffuse radiation on the horizontal surface is estimated using Artificial Neural Networks (ANN), which were trained with the monthly radiation data of Surabaya from 2018 to 2019. Subsequently, the radiation on the inclined surface is estimated using a mathematical model. Also, the ANN accuracy was validated with a regression value higher than 99% for either direct or diffuse radiation estimate. A full-year evaluation based on the proposed model suggests an inclination angle of 25° for the solar panel installed in Surabaya. Meanwhile, the evaluation gives different angles for each month with the advantage compared with the fixed angle installation.
Detection of Trend Behaviour of Extreme Rainfall Over Java Using Mann-Kendall
Authors: Suroso  , Ghifari Izac Aqsha , Santoso Purwanto Bekti 
Published: March 2021

Abstract
The purpose of this research is to detect the areas that are impacted by climate change in Java Indonesia by creating a model that analyzes the trend of extreme rainfall distribution for the last 42 years. Man Kendal test is used to analyze the rainfall trend behaviour that will determine the happening of climate change or not in that area. The result of this research gave information that several places in Java might be impacted by climate change. This result is crucial to use as an early warning of areas that are sensitive to natural disasters that are most likely caused by climate change like a flood.
Modelling of Unidirectional Oscillating Buoy Wave Energy Converter Based on Direct Mechanical Drive System Under Irregular Wave
Authors: Ariefianto Rizki Mendung , Hadiwidodo Yoyok Setyo , Rahmawati Shade 
Published: March 2021

Abstract
The development of wave energy converters (WEC) is increasing over time with various designs. The need for a WEC design that emphasizes the level of simplicity, portability, and closeness of its implementation to the nearshore is quite interesting to discuss. One of the WECs that can meet these criteria is oscillating buoy based on a direct mechanical drive system. This research proposes the concept of oscillating buoy WEC based on a direct mechanical drive system, which is designed with a unidirectional gear system to be able to generate energy both in the upward and downward wave phases. The WEC is also making to produce high rotation on the output side from the small motion of the buoy, especially in the heave direction. Predicting the power generated by this concept is very interesting because up to now, there has not been sufficient analytical model to estimate the power generated by oscillating buoys WEC based on a direct mechanical drive system, especially under irregular waves. In this work, an analytical method is conducting to describe the interaction between the model and irregular waves from the JONSWAP model. Model interaction is simulating numerically using the MATLAB program. The buoy translational motion of the model in the heave direction, which is converting to electric power by increasing the rotation of the gearbox and the energy stored in the flywheel, can produce significant output power. In the future, the proposed model can be used to develop more feasible and efficient models of wave energy converters.
Utilization The Ship Main Engine Cooling Water for Micro hydro Power Plants Design
Authors: Faturachman Danny , Pujiastuti Endang Tri , Fridolini  
Published: March 2021

Abstract
Renewable energy is non-fossil energy derived from the nature and sustainable, also if properly managed, resources are depleted. The utilization of cooling water disposal on his boat as an energy-producing environment-friendly, by making use of the cooling water flow pressure machine ships as water turbine impeller assembled in such a way so it can generate electricity. Commercial ships usually have large size machines and most use large-capacity cooling system, so the cooling water flow capacity will be even greater as well. This prompted the opportunity to create an instrument for utilizing renewable energy flow of cooling water disposed in vain to rotate the propeller has been drafted into a micro hydro. And expected results can help reduce the workload of the auxiliary engines which will also have an impact on the reduction of fuel consumption. Fluid which flowed by the pump-the pump will rotate the intended water turbine that will generate electrical energy. When the ship sail, the lighting definitely need in each room, by using the electrical energy produced by the auxiliary engine, this water turbine can be applied then the fuel that had been used or consumed by the auxiliary engine can be replaced by the electric energy generated by the water turbines for light ships.
Mapping Oil Spill Using Sentinel-1: Study Case of Karawang Oil Spill
Authors: Sari Dian Puspita , Mukhtasor  , Zikra Muhammad 
Published: March 2021

Abstract
Indonesia as a maritime country has many challenges in developing and making innovations in the marine sector. One of the challenges for Indonesia is how to respond to oil spill disasters that occur because of various events such as blow-out on oil platforms, ship collisions, pipeline leaks, and so on. In the end, marine and coastal pollution cannot be avoided. Karawang is one of the productive northern coastal areas of Java Island with various facilities such as single point mooring, oil wells, tourist areas and historical heritage. On July 15, 2019, an oil-well belonging to Pertamina Hulu Energi (PHE) ONWJ had leaked and polluted the sea and coast not only in Karawang, but also spread to Jakarta waters. As a result of this leakage, of course the impact is very large and varied from ecological, social and economic aspects. In this paper, an oil spill mapping will be carried out to determine the affected areas using sentinel-1 data. Data processing is assisted by open-source software SNAP (Sentinel Application Platform). As the result, August 19, 2019, oil spill seen in Bekasi area. So that oil slick move from Karawang to the west. This oil spill map area can be used in many ways such as clean-up strategy, calculating amount of dispersant, and many more.
Temporal and Spatial Analysis of Mangrove Forest Change in the North Coast of East Java
Authors: Wardhani A K , Zikra M 
Published: March 2021

Abstract
The north coast of East Java has high human activities and needs. These human needs include opening new land for housing areas, so that some mangrove areas have begun to be converted into residential areas. This can directly cause ecological impacts that threaten the sustainability of the coastal environment, but on the other hand, mangrove areas on the north coast of East Java are also developed as conservation and tourism areas. The purpose of this study is to determine changes in mangrove area and changes in coastlines in the northern coastal region of East Java during the period 2013 to 2019 based on Geographical Information Systems (GIS) using the Supervised-Maximum Likelihood image classification method. The results of this study showed that the largest change in mangrove forest area was in Sidoarjo Regency by 95%, while the lowest change in mangrove forest area was in Tuban Regency at 7.20%.