bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth and yield of pagoda (Brassica narinosa L) with concentration and watering interval of fermented rabbit urine on hydroponic system
Authors: Guntara R. , Isnaeni S. , Rosmala A. 
Published: April 2021

Abstract
Organic fertilization is the addition of nutrients that are beneficial for plant growth and yield and can improve soil fertility and quality. The aim of this research was to examine the effect of fermented urine rabbit concentration and watering interval as well of interaction of both on the growth and yield of pagoda (Brassica narinosa L). The first factor is consentration of fermented rabbit urine, 50 ml−1, 75 ml−1, and 100 ml−1. The second factor is watering interval every 2 days, 3 days and 4 days. The result of the fertilizer treatment with fermented rabbit urine is significantly each observation parameter, and the treatment 100 ml−1 was different from the treatment 50 ml−1, while the watering interval significantly affected the plant height, number of leaves, color leaves, leaf area, plant circumference, plant fresh wight and plant dry weight. 2 days watering interval is significantly from 4 days. The interaction affect the parameters of the number of leaves 2 weeks after planting and leaf color 1 weeks after planting.
Experimental investigations on the performance of thermoelectric generator as energy conversion system
Authors: Rachmanita R E , Karimah C N , Azizah N 
Published: April 2021

Abstract
Energy conversion system based on thermoelectric generator that utilized the residual heat of condenser as heat energy resource and water circulation as a cooling system has been designed. Thermoelectric generator functions as a heat-to-electricity energy conversion by using temperature difference between the two sides of the thermoelectric 4 x 4 x 0.3 cm TEG SP1848 module has been used as a thermoelectric generator that can hold back the temperature up to 125°C. The conductance value of TEG SP1848 is 0.0025 W/K. The important part of energy conversion systems are thermoelectric generator configuration, conductor and cooling system. Conductor is the component which functions as heat transfer media from condenser pipe to thermoelectric generator. The diameter of the condenser pipe in this study was 4.2 cm. The function of cooling system is cooling up the thermoelectric generator cold side in order to enhance the temperature difference between cold side and hot side. The cooling system that used in this research is water cooling that consisting of a water pump, water block, radiator, fan and water. The collecting data has been done by using series configuration of thermoelectric generator and varying the temperature of 40°C -110°C and the resistance of 10Ω-200Ω. The best resistance that can produce the greatest power is 39 Ω. The hot side temperature that can produce the greatest power in this study is 110 °C. The average of power and efficiency of energy conversion system was 0.129 W and 2%.
Extraction of minerals on celestial bodies as a new scientific direction
Authors: Khairutdinov A. , Tyulyaeva Y. , Kongar-Syuryun C. , Rybak A. 
Published: April 2021

Abstract
The paper presents the analysis of the problems encountered in the extraction of minerals. The areas that are affected by the activities of the mining industry are named. The prerequisites for the beginning of global development of the mineral resources in outer space are analyzed. It is concluded that there is a need to develop the resources of celestial bodies. The legal aspects of the development of space bodies’ resources are touched upon. It is noted that the existing laws on space are not perfect or contradictory. The use of different interpretations of the laws on space for obtaining preferences in the assignment of resources of the mineral resource base of outer space is indicated. Various stages of the scientific development of outer space are touched upon. It is noted that the catalyst for space exploration was the military-political confrontation during the cold war. The significant role of the United States and Russia, as the legal successor of the USSR, in the field of scientific research and development of outer space, as well as their importance in the development of space programs of other countries, is emphasized. A new vector in space exploration has been identified, and with it the new goals have been formed. The prerequisites for the beginning of the commercial development of space resources are formulated. It is noted that the study of outer space, as well as the development of its mineral resource base, goes beyond the scope of monodisciplinarity. For the successful implementation of the program of the extraction of mineral raw materials from celestial bodies, it is necessary to develop a number of scientific directions, parallel and consistent with the other ones. At the same time, it is indicated that for a more successful implementation of these scientific programs, it is necessary to combine all scientific directions into one scientific discipline. It is recommended to allocate a new scientific discipline based on the experience and development of geotechnologies.
Method for determining the concentration of ferrosilicon in suspension for dense medium separation process
Authors: Timofeev A. S. , Dvoychenkova G.P. , Chumakov A. A. , Melekhina K. A. 
Published: April 2021

Abstract
In Russia, dumps of diamond-bearing deposits are characterized by a high content of secondary modified non-magnetic kimberlite minerals of fine size classes (-0.05 mm), the presence of which negatively affects their processing by methods of dense media separation. In the present work, the possibility of determining the concentration of ferrosilicon in a continuous process of dense medium separation by measuring the magnetic properties of a suspension was investigated As a result of experimental studies, the dependences of volumetric concentration of ferrosilicon on the magnetic moment of various grades were obtained, which made it possible to measure the concentration of ferrosilicon in a continuous process of dense media separation by measuring the magnetic properties of the suspension.
Application of High- and Low-Pass Spatial Filters in Analysis of Cone Penetration Test (CPTu)
Authors: Rainer J. , Bagińska I. 
Published: April 2021

Abstract
The paper examines the high and low pass spatial filters used in the Cone Penetration Test (CPT) recordings in the soil and aims to demonstrate their usefulness and effectiveness in the interpretation of CPT measurements. The procedure of low-pass inverse filtration was used to reduce the effects associated with the occurrence of thin layers. High-pass filters were used to find places where the boundary of layers between different Soil Behaviour Type (SBT) could potentially exist. The application of both filters was tested on natural soils and on anthropological dumping soils.
Towards Impact-Based Flood Forecasting and Warning in Malaysia: A Case Study at Kelantan River
Authors: Sidek L M , Basri H , Mohammed M H , Marufuzzaman M , Ishak N A , Ishak A M , Omar B Z C , Osman S , Ramly S , Hassan M H 
Published: April 2021

Abstract
Impact-based forecasting and warning services aim to bridge the gap between producers and users of warning information by connecting and increasing synergies between the components of effective early warning systems. In this research, we proposed an automated warning message based on colour codes to trigger risk mitigation actions at the local level in the flood-exposed communities of Kelantan river basin, Malaysia. With a community-based approach for different groups of users (i.e. sectors), flood-impact scenarios were determined from past events and related to colour codes. These were developed into impact-based forecasting and warnings that can connect water levels, through the colour code, to localised guidance information tailored to sectors’ needs on how to respond to the expected flood. Overall, the colour coded impact-based warnings were found to be an easy and understandable way to link water level forecasts to the necessary risk mitigation actions. However, further investigation is needed to validate these findings under real-time conditions. IBF has vast potential in Malaysia, but its integration requires significant institutional changes, such as an inter-facing agency (long term) or team (short term), adjusted policy frameworks (standing orders on disasters), and new resource allocations for skills development and technological innovation from national to local levels. Overall, this paper aims to offer the first insight into impact-based forecasting and warning services in Malaysia to trigger further research and project developments.
Building Resilience from Double Disasters: The Direct Impact of The Pandeglang Tsunami 2018 And COVID-19 Outbreak on Tourism and Supporting Industry
Authors: Sagala S , Rosyidie A , Azhari D , Ramadhani A , Rinaldy T K , Racharjo S I 
Published: April 2021

Abstract
Tanjung Lesung, Pandeglang was designated as the first Tourism Special Economic Zones since 2015. However, the coastal area in Pandeglang is prone to disasters. Recently, a tsunami upended the hospitality industry in Pandeglang. Compounded with the occurrence of COVID-19 outbreak, recovery measures prove to be more difficult. The tourism sector has broader economic implications due to its ties with other supporting sectors. The purpose of this study is to understand the direct impacts on tourism and its supporting industry after the tsunami and COVID-19 outbreak in Pandeglang. Therefore, the research question is: “What are the direct impacts of the 2018 tsunami and COVID-19 outbreak to Pandeglang tourism?”. This research uses a qualitative method, particularly content analysis of news, articles, journals, and the result of interviews. The results show that the direct impacts of both disasters to the Pandeglang tourism sector comprise of three aspects, namely the damage in physical assets, the decrease in value property, and the loss of lives. As a regency that relies heavily on tourism as one of its mainstay economic sectors, the tsunami and COVID-19 pandemic are big blows to Pandeglang tourism.
Effect of service quality and online servicescape toward customer satisfaction and loyalty mediated by perceived value
Authors: Hanafi  , Widyawati R , Widowati A S 
Published: April 2021

Abstract
Application-based transport or online ojek has been main trends in Indonesia. It gives solution to public in rush hours especially in urban area. Even though they are needed but many customers have complaint about their services. The purposes of this study are observing the operator effort to maintain customer satisfaction and loyalty. It evaluated customer response to determine the cause of the satisfaction and loyalty especially for the construct of service quality and online servicescape. In addition, it brings new construct as mediation variable of perceived value to strengthen the relationship among the variables. This study found the new relationship among service quality and online servicescape to strengthen customer satisfaction and loyalty. By collecting the customers from Jakarta region as respondent’s, this study tested their perception about the online service delivery and their effect to the loyalty. Some suggestion and direction also given to expand the research as discussion topic.
The Power of Flowers: Hungarian Tourism through Indonesian Lens
Authors: Priatmoko S , Panghastuti T , Murti A 
Published: April 2021

Abstract
Flowers are a part of tourist attractions. The existence of gardens and flowers in a tourist spot affects the perception of visitors. This research aims to determine the perceptions and impressions of tourists from Indonesia who have visited Hungary. Data obtained from online surveys through the Whatsapp group of Indonesian students. Furthermore, the data obtained processed and counted to find out the tendency of the flowers impression to visitor. The data obtained shows that flowers have an influence on impressions for visitors in Hungary. Flowers impression correlates versus selfie activity, willingness to referral and attention to flower’s colour with lower than the given p-value of 0.05. They are 0.002 for selfie, 0.020 for willingness to referral, and 0.01 for colour intention respectively.
Predicting Period Stock Spread Ranking Using Revenue Indicators and Machine Learning Techniques
Authors: Chiu C H , Tsai Y C 
Published: April 2021

Abstract
Predicting stock market movements is a well-known problem of the machine learning field. In general, there are two primary methods used to analyze stocks and make investment decisions: fundamental analysis and technical analysis. But fewer researchers focus on monthly revenue indicators and different time period prediction. We collect and organize financial data extracted from Taiwan and U.S n companies’ monthly and quarterly financial reports across a period of 10 years. In addition, we successfully use fundamental and technical indicators as training model’s features. Among experiment results, which has good performance. The annualized profitability (annualized rate of return) can reach 2.56%, the Sharpe ratio is 2.01, the maximum amplitude is - 20.8%. Compared with other strategies, our strategy is relatively stable and achieves ideal results. The more important is we used monthly revenue indicators based features to improve model performance.
The Analysis of PRISM Performance in PT. XYZ
Authors: Farmania A , Prasetyo R 
Published: April 2021

Abstract
The intense competition between companies in Indonesia in getting the opportunity to become one of the suppliers of multinational companies requires extra value in showing the ability and quality of the company. Many companies don’t know the quality and capabilities to compete. PT. XYZ, which has become one of the suppliers in the largest automotive company in Indonesia, also has a similar problem, we found that the company uses performance measurement which is not quite accurate in knowing the actual condition of the company. In this research, we know that performance prism is the right performance measurement for the company, this makes it easier for the company to know which parts need to be fixed immediately to achieve the predetermined targets.
Covid19 and Higher Education: A Degree Course Recommender System Based on Personality Using Rule-Based
Authors: Deraman N A , Wan Ariffin W M A , Samah K A F A , Jono M N H H , Isa M A M , Zamzuri Z F , Yahaya S A 
Published: April 2021

Abstract
As a result of the pandemic Covid19 and the enforcement of Movement Control Order (MCO) in Malaysia, it is difficult for the Ministry of Education to explain the selection of courses at the university. Current systems such as “Selangkah ke UiTM,” “eSemak Politeknik” and “EduAdvisor” concentrate only on SPM graduates. As a result, this study proposes a recommendation system that can provide recommendations for the course to suit students’ personalities. Diploma of Computer Science students from the Faculty of Computer and Mathematical Science (FSKM) at UiTM Melaka are selected as a case study. This system uses the rule-based approach that took psychometric test results: “Inventori Minat Kerjaya” and mapped it to the traits needed for the five courses offered at the faculty to help students determine the most appropriate course. This prototype system consists of 170 test questions, and the results of the top 3 IMK personalities are chosen to be mapped to the courses offered. Usability and accuracy testing has been carried out at an average rate of 77.5%, and accuracy is 66.7%.
The Effect Of Tourism Attractions On Tourists’ Visiting Interest To Penglipuran Village, Bangli District
Authors: Maulana Y , Ulinnuha H , Chandra D L T 
Published: April 2021

Abstract
Penglipuran tourism village is internationally recognized as one of the cleanest villages in the world. This study aims to determine the effect of tourist attractions on tourist visiting interests. The research method used is descriptive quantitative. Primary data collection using a questionnaire. The data analysis technique used is the simple linear regression analysis. The results of data processing showed a positive influence between the development of tourist attractions with their interest in visiting by 73,3%. This means that if attractions are developed, the interest in visiting will increase. Suggestions for the managers to come up with new attraction ideas by utilizing the local wisdom of Penglipuran villagers.
Measuring software quality with usability, efficiency, and portability characteristics
Authors: Sholiq  , Auda R A , Subriadi A P , Tjahyanto A , Wulandari A D 
Published: April 2021

Abstract
The paper aims to measure the quality of the “Application of software cost estimation (AoSCE)” produced by the author in the previous study. The quality characteristics measured include usability, efficiency, and portability using the ISO 9126-1 standard. The measurement results indicate that the three characteristics are good, but the usability characteristics still need improvement. The interesting of this paper is that testing procedures and worksheets can be applied to measure the quality of other software by adjusting the conditions of the test object.
Prediction of air quality in Jakarta during the COVID-19 outbreak using long short-term memory machine learning
Authors: Wihayati  , Wibowo F W 
Published: April 2021

Abstract
Air pollution is one of the world’s problems, not just one location. This air pollution is caused by pollutants that are harmful to human health and the environment. Some pollutants are most influential, namely particulate matter, ground-level ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide. Several countries decided to lock down when the COVID-19 outbreak was announced simultaneously throughout the world like a pandemic. In Jakarta, Indonesia applies large-scale social restrictions (PSBB). The resulting impact is a drastic reduction in air pollution on air quality. This paper aims to predict air quality during the COVID-19 outbreak in Jakarta using long short-term memory (LSTM) machine learning. The evaluation of the LSTM model used in this paper is the root mean square error (RMSE). The results obtained show that the Adam optimizer can bring the prediction results closer to the dataset used.
Communication Networks of On-Farm Rubber in Riau Province, Indonesia
Authors: Yulida R , Rosnita R , Andriani Y , Ikhwan M 
Published: April 2021

AbstractThe rubber on-farm subsystem is an important part of rubber commodity development. Communication is an important part of the on-farm subsystem carried out by farmers because the communication network formed describes the farmer’s communication pattern. The research aims to analyze the communication networks on-farm rubber in Riau and was conducted in two potential districts for rubber commodities in Riau Province, which are Kuantan Singingi Regency and Kampar Regency. To obtain research data, respondents were determined by purposive and snowball sampling. The number of respondents in this research was 168 rubber farmers. The results of the research showed that the on-farm communication network of rubber farmers in Kampar Regency, in a centralized pattern form (interlocking personal network), indicated that there are individuals dominant in the communication network of rubber farmers. Meanwhile, the communication network for rubber farmers in Kuantan Singingi Regency, with a radial personal network, confirmed that the farmer information centers have begun to spread to several individuals. It is necessary to introduce institutional and communication technology, so that farmer information centers are not limited on only certain individuals, and farmers have choice of information sources that can increase knowledge and help to solve problems for rubber farmers in Riau Province.
Distribution Mapping of Rice, Corn, and Soybean Production Based on Geographic Information Systems in Pandeglang Regency
Authors: Hermita N , Sumantri A T , Riyanto R A , Mulyaningsih A 
Published: April 2021

Abstract
This study aimed to present the data on the mapping of the distribution of rice, corn and soybean production, based on the geographic information system. The method used in this research was the survey method. The research location was in Pandeglang Regency with the consideration that Pandeglang Regency is one of the areas in Banten Province with variety of potential natural resources, especially the abundant and valuable agricultural crop production.. Data were collected in July 2020-September 2020 and analyzed descriptively. The results showed that the average production was very high for rice (39713.61-62309.88); Corn (240.50-988.47); and soybeans (2524.50-5004.45) while the average production was very low for rice (6967.11-13783.74); Corn (13095.92-32175.48); and Soybean (00.00-166.30) which means that the production yield was very low in several sub-districts in Pandeglang Regency which need attention in this case related to land suitability evaluation.
Analysis of the Role of Livestock Sub-Sector in Economic Growth in West Sumatra
Authors: Suresti A , Tan F , Adrimas  , Dinata U 
Published: April 2021

Abstract
This study aimed to analyze the role and growth of the livestock on economic development in West Sumatra Province. This study used Analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ) and Shift Share Analysis. The data used in this study had secondary data from the 2016-2019 period. The research method used Desk Study. The results showed that the livestock was a non-basis sub-sector. The average LQ value of in 2016-2019 was 0.96 and And this sub sector will remain a non-base in the future, this showed that the livestock had not changed its role in the future. The determining factor for this change in role was the structure of the economy.
The Effect of Personal and Situational Factors on The Performance of Agriculture Extention Worker on the Behavior of Seeking Information as an Intervening Variabel (Study Case in Lebak Regency Banten Province)
Authors: Nurhayati L , Nurmayulis  , Salampessy Y L A 
Published: April 2021

Abstract
The success of agricultural development requires the availability of reliable agriculture extension workers. The agriculture extension workers performance is influenced by personal factor and the situational factors of the extension workers. On the other hand, the development of information and communication technology (ICT) recently is very helpful in the completion of work in various fields, including in the agricultural sector. The study was conducted to describe the behaviour of seeking the information as a variable as mediated the influence of personal and situational factors on the performance of agriculture extension workers. The survey was conducted on 41 agriculture extension workers in Lebak Regency and was investigated using stratified random sampling. For objectivity, the performance of agriculture extension workers was assessed by two of their fostered farmers using simple random sampling. Data were analyzed using path analysis. The results showed the workload factor directly affected the performance of agriculture extension workers. The length of work, the involvement in training, the ability to use an information tool, and the information literacy as personal factors and working environment conditions as a situational factor of agriculture extension workers indirectly influenced the performance of agriculture extension workers through intervening variables of the behaviour of seeking information in agriculture. Meanwhile, the level of utilization of internet-based communication has approached the level of utilization of interpersonal communication channels that dominated the behaviour of seeking information of agriculture extension workers. This condition may emphasize the importance of the availability of ICT facilities and infrastructure to improve the performance of agriculture extension workers.