bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of Chinese architecture on the development of architecture in Medan City
Authors: Pane I F , Fachrudin H T , Pane P S 
Published: April 2021

Abstract
This paper aims to trace the development of Chinese architecture in Medan. Chinese architecture is architecture that was brought by traders and plantation workers during the Dutch colonial period and collaborated with local architecture. This collaboration has colored the development of modern / postmodern architecture that developed until now. For this reason, this article notes the harmonious collaboration between Chinese architecture and local architecture. The research location is in the city of Medan because this area has had a long history of the entry of Chinese influence through plantation workers during the colonial period. The object of study is building in the city of Medan with Chinese architectural characteristics. The method used is a descriptive qualitative approach in order to elaborate and examine the facts on the field and analyze them with the theory used. The results showed that Chinese architecture plays a role in forming the architecture which developed in the city of Medan and the existing spaces are the result of culture from generation to generation that present the meaning according to their needs.
Industry 4.0: Data science perspective
Authors: Nasution Mahyuddin K M 
Published: April 2021

Abstract
Industry 4.0 is a shift from the previous industry shape. Automation is as a result of technology involving electrical energy. Changes occur and lead to paperless and humanless, but these changes require preparation both in the industrial world and in other supporting worlds. Data is a different side of technology. Data involves many different concepts from the industrial world, even though either data of the industrial world involve the same technology. Specifically, data management is different than industry management. This paper reviews integrated management based on data science, a science that studies the behavior of data. As a result, integration requires data structuring steps from Industry 4.0 and structuring data for Industry 4.0.
Analysis delay factor distribution of ready–mix concrete PT. Kreasibeton Nusapersada
Authors: Nasution Andri , Hidayati Juliza , Buchari  , Syarifah Yolanda Putri 
Published: April 2021

Abstract
PT Kreasibeton Nusapersada must be able to provide the best service to meet customer needs, one of which is in terms of timely delivery of goods safely to the destination. The process of sending goods with different locations still often occurs, such as delays in shipping goods caused by various factors to find the cause of the delay in the shipment of Ready-mix on PT Kreasibeton Nusapersada then the data analysis technique used the writer is a fishbone diagram or a causal diagram. From the analysis of activities carried out by PT Kreasibeton Nusapersada, it has been going well. However, based on data in the field, it turns out, there is still a delay. Of the twelve (12) factors, it turns out, there are four (4) factors that cause delays, 84.37% of congestion factor is stating that congestion are the most cause of late distribution of Ready-mix Concrete products, 68.75% is state the number of projects or Demand for Ready-mix Concrete causes the product distribution constraints, 43.75% the Batching Plant machine was damaged so that the process of making Ready-mix Concrete was disturbed, and for product delivery was delayed and 75% is state the availability of raw materials affected the distribution delay.
Application of reliability engineering method in machine maintenance
Authors: Sembiring Nurhayati , Buchari  , Hermansah  
Published: April 2021

Abstract
This study was conducted in an industry resin from block rubber with the quality specifications of the SIR (Standard Indonesian Rubber)-10. Problems occurred because the company is still doing corrective maintenance and do not have a planned machine maintenance schedule. It disrupted of the exhibition process. This study’s purpose is designing a preventive maintenance machine system with reliability engineering method. Data needed in study is machine breakdown and downtime, damaged frequency, and interval damaged of machine details. The critical details on the machine were Reactors with its details, namely packing valve Codogno, packing main-hole, and propeller. Determining the distribution of failure, reliability, Mean Time to Failure, the study results show the interval of replaced part packing valve Codogno is a 109-day with reliability value the of details 0.5007; packing main-hole is 120 days with reliability 0.5070; propeller details is 172 days with reliability 0.5028.
Proposed improvement of production floor layout using urban algorithm in minimizing the cost of material handling (Case study of rubber wood processing factory)
Authors: Tarigan U , Ishak A , Fabiola N A , Sembiring N , Syahputri K , Tarigan U P P 
Published: April 2021

Abstract
The design of the layout of the production floor facilities in this study aims to solve the problem on the production floor, namely that there is an irregular material flow pattern due to alternating flow and crossing paths with high frequency resulting in total material transfer moment which is directly proportional to high material handling cost. To solve the problem is used Urban Algorithm and WinQSB Software. This method was chosen because it can exchange between departments and move departments so that distant parts can be re-adjacent. In addition, this method uses from to chart which is then inputted to produce alternative layout proposals. The results obtained after repairing the production floor layout using the Urban algorithm and WinQSB software in XYZ Company of wood processing factory shows that the total displacement moment is 546,745 times/month. This has decreased compared to the total moment of displacement of the initial layout of 1,211,335 times/month. The total OMH in the initial layout was IDR 1,321,902 after improvements and adjustments were made using the Urban algorithm, the total OMH was IDR 574,083. The results showed that the layout improvement with the Urban algorithm has an efficiency of 56.57% and the best alternative is layout II.
Big data analysis for product design
Authors: Hidayati Juliza , Gusrina Shelvy Riry , Matondang Nazaruddin 
Published: April 2021

Abstract
Currently all industries have the same challenges, namely the challenges facing disruptive technology, including the telecommunications industry. Disruptive Technology is a form of industrial revolution 4.0 as a result of robotic technology, machine learning and artificial intelligence. The company’s innovation capacity will be one of the best indicators for the company. So that to face disruptive technology in the industrial era 4.0, companies must design a technology with sustainable market needs in order to survive in the industrial market. Accordingly, a literature review is conducted to explore values of big data in the perspective of product designers. Product features and sentiment polarities would be the first identification of consumer opinion data. Some methods is discussed in this study such Kalman filter which used to forecast the trends of customer requirements (CR) and Bayesian method to compare products. This study aimed to help designers their advantages and understanding every possibilities of changes customer requirements (CR). And by exploring valuable information from big data the designers may decide kind of product based on customer needs and market driven product design.
The correlation of ultimate analysis and calorific value on palm oil briquettes using durian seed adhesives
Authors: Maulina Seri , Sarah M. , Misran E. , Anita M. F. 
Published: April 2021

AbstractPalm fronds are one of the wastes produced from oil palm plantations that have high potential and are suitable for use as raw material for biomass as renewable energy through carbonization and briquetting processes. Durian seeds contain amylose and amylopectin which can be used as an adhesive to improve the physical quality of the briquettes produced. Palm fronds are carbonized at 300°C for 90 minutes. The charcoal produced is mashed with a ball mill. The gluing process is carried out using an adhesive from durian seeds with a concentration of 5%, 15% and 25% with a char: adhesive ratio of 30:70, 50:50, and 70:30 and compressed at a pressure of 100 kg/m2. Ultimate analysis and calorific value are carried out to test the performance and quality of bio-charcoal briquettes.
Utilization of wood biomass as a renewable energy source using gasification technology
Authors: Maisyarah L , Siregar Y 
Published: April 2021

Abstract
One of the potential uses of biomass is gasification. Therefore, various breakthroughs need to utilizing biomass. One of the possible services of biomass is gasification. The best method for producing woody biomass is gasification conversion technology. The principle of biomass gasification uses incomplete combustion in a room withstand high temperatures called a gasifier. Burning order imperfect can occur, then the air with a small amount of stochiometric needs of explosion flowed into the reactor to supply oxygen needs using a fan/blower. The combustion process that occurs causes a thermo-chemical reaction that produces CO, H2, and methane gas (CH4). The Downdraft gasifier, where the combustible gas had passed to the oxidation part of the combustion by being pulled down so that the resulting gas will be cleaner because the oil will burn when it passes through the oxidation part of the explosion. Gasification of wood sawdust can produce gas fuel. Where more biomass is classified, it will increase the amount of gas delivered to become fuel.
Turpentine oil extraction from pine resin by microwave assisted hydro-distillation (MAHD) technique
Authors: Sarah M , Juwairiah S 
Published: April 2021

AbstractTurpentine oil obtained from pine resin plant consists ofα-pineneutilized to synthesize organic compound used to produce paint and disinfectant for example. This project aims to study extraction of turpentine oil byMicrowave Assisted Hydro-Distillation(MAHD). This study evaluates effect of time, power and volume of pine resin_to turpentine oil characteristic. Variables observed in this study are time (30 to 90 min), power (300 to 600 Watt) and material (150 to 250 mL). Turpentine oil quality such as color, density and refractive index are identified with respect to SNI 7633-2011 whileα-pineneconcentration determined using GCMS. Highest yield is 27.31% obtained from extraction of 150 mL pine resin using 600 Watt of microwave power for about 60 min. Chemical composition of turpentine oil at that certain condition are α-pinene of 68,53%, 3-carene of 14,31% and β-pinene of 5,23% respectively. Turpentine oil product has characteristic of clear color with refractive index of 1.467 and density of 0.853 g/cm3. This study concludes microwave energy very potential to be utilized as source of energy to extract turpentine oil from pine resin as it proceeding very rapidly.
The effect of fibre loading on characterization and mechanical properties of polyurethane foam composites derived waste cooking oil, polyol and toluene diisocyanate with adding filler sugar palm (Arenga pinnata) fibre
Authors: Lubis Maulida , Prayogo Muhammad A. , Harahap Mara B. , Iriany  , Ginting Muhammad Hendra S. , Lazuardi Iqbal N. , Akbar Rievaldi 
Published: April 2021

Abstract
In the study, sugar palm (Arenga pinnata) fibre reinforced polyurethane foam was prepared by compounding waste cooking oil, polyol and toluene diisocyanate. The composites foam were prepared with different fibre loading: 10%, 20%, 30% and 40% (by weight), with the process conditions : ambient temperature, 1 min stirring and fast stirring. Four samples were cut from polyurethane foam composite and tested according to ASTM standard. Effect of fibre loading on mechanical included tensile strength, FT-IR, and SEM. From the analysis, highest condition of polyurethane foam composites tensile strength was 0.978 MPa.
Minimizing inventory cost of dried food materials availability: An analyzing in teaching hospital
Authors: Sari R M , Firiza S Y , Erwin  , Syahputri K , Rizkya I , Siregar I 
Published: April 2021

Abstract
Excess stock of dried food materials directly proportional to the increase in inventory cost. Average overstock in Teaching Hospital during February 2019 - April 2019 is 39,3% with total capital invested of the overstock of IDR 13.702.247. In addition, an overstock caused by an average total damage of 18,31% which is resulted in a loss of 29,73% of the capital invested in dried food material overstocked. Dried food material excess stock is caused by the absence of a reference limit for orders and the optimal number of orders. The number of orders are not optimal will cause the order frequency to increase and make order costs also increase. The purpose of this research is to prove whether there is a cost minimization of the cost of dried food material which is higher than the Economic Order Quantity (EOQ) model when compared to the actual dried food inventory model. EOQ was used to calculate the optimal number of orders for dried food, safety stock and reorder points calculation. In the total cost of inventory calculation based on actual conditions when compared with the total cost of inventories using the EOQ method for dried food, a saving efficiency of 44,22% is obtained.
Statistical Measures for Trending Video Analysis using knowledge pre-processing and preliminary knowledge Analysis
Authors: Pradhan Rahul , Saxena Akansha , Bansal Divyanshi , Jain Ananya 
Published: April 2021

Abstract
YouTube has an algorithm that decides which videos will appear in the Trending Videos List. Some are more likely to be on the trending list but some videos which were never estimated to be on-trend are seen, it targets viewers’ attention over a short span. On Youtube, trending video lists are not personalized according to a person’s views, likes, or dislikes just like what the recommendation system does, rather its algorithm targets a collective group of people, the same Trending video page is displayed to everyone in a country. In India, the Trending page of. Like various recommendation systems, YouTube also gives you suggestions on your Home page based on your previously watched content. Recommendation systems are so common that we are using it without even knowing it, it makes the user experience much better. Common Examples are Amazon, NetFlix, and now Spotify uses it to suggest to us the music we might love to listen to. The trending videos page updates itself every few minutes (15 minutes). After every update, videos may move up, down, or stay in the same position in the list. Here in this Paper, we used statistical skills to analyze what are the reasons for a video to be on trends. In this paper, we have worked on a dataset for the year 2020. For data collection, we used a Web Scraper script, that’s not part of our work. Based on EDA we can say what is the exact reason for a video to appear on the trending page.
A Pun Identification Framework for Retrieving Equivocation Terms based on HLSTM Learning Model
Authors: Shekhar Shashi , Sharma Rishabh 
Published: April 2021

Abstract
The artificial intelligence system is made linguistically intelligent through HLSTM model to identify pun expressions from code mixed text. The text available on social media domain is written in mixed script format and from these content puns word identification is a challenging task in this scenario. The retrieval of pun and its corresponding equivocation terms is very hard to retrieve from the transliterated text. The pun retrieval and its equivocation representation are widely used to present the opinions over the network applications. The work described in the paper gives the comparative view of different learning models and techniques applied in the area of transliteration for pun word retrieval. The rule framed approach is presented which accepts the roman form text as input and as per the defined rules the system is developed to give the equivocation words available in the sentence. The evaluation measures used here to validate the hypothesis is based on statistical measures along with HLSTM learning model. Further the result is validated using the voting technique that can choose appropriate equivocation label which are not identifies by the learning model. The use of voting technique here is to provide an extra edge when the proposed approaches suggest incorrect tag against the pun word. The voting approach enhances the overall result accuracy with high precision value.
A dataset to evaluate Hindi Word Embeddings
Authors: Soni Vimal Kumar , Gopalani Dinesh , Govil M C 
Published: April 2021

Abstract
The current trend to solve different challenges of Natural Language Processing utilizes various online crawling methods to fetch the data and applying different shallow or deep learning methods to develop models for the respective tasks on this data. Word vectors generated using such methods are being applied for several NLP challenges and such vectors are being evaluated on word similarity task. Not only huge data is available but also multiple datasets are available for the English language to evaluate the performance of the developed models. However, the scenario is not the same for Indian languages specifically for Hindi. Focusing this challenge, we propose a dataset to check word similarity in Hindi. The construction process and afterwards annotation process are described in details. To construct this dataset, first, 353 word-pairs from the most popular English dataset are selected and translated. Their translations are verified by Hindi Experts. These word pairs are finally annotated independently by 11 native Hindi speakers. Multiple criteria have been set to select the annotators for this task. The final dataset has been evaluated on CBOW and Skip-gram models.
An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT
Authors: Dogiwal Sanwta Ram , Dadheech Pankaj , Kumar Ankit , Raja Linesh , Kumar Abhishek , Kumar Beniwal Mahender 
Published: April 2021

Abstract
AI Solution for Farmers is an agricultural based project, created to help farmers and to help them in increasing their productivity. Since the technologies are running the world, why agriculture must be deprived of it. Agriculture is one of the most important areas that have major impacts on the economy and society of a country. Technological developments serve as tools to share knowledge and practices of agricultural products and make more satisfactory lives for farmers, traders, policymakers, and the overall society. It is evident that knowledge has become a crucial component in production, society, food security, health, poverty, and other millennium development goals. The use of technology may provide a better approach to solve the problems arising from sowing the seed to harvest the crop. The new technologies like Machine Learning and Data Science may be great help to have an eye on the deciding factors to the growth of crop.
Multiple Watermarking Scheme for Video & Image for Authentication & Copyright Protection
Authors: Janu Neha , Kumar Ankit , Dadheech Pankaj , Sharma Gajanand , Kumar Ashutosh , Raja Linesh 
Published: April 2021

Abstract
Watermarking has been used frequently to authenticate the accuracy and security of the image and video files. In the world of computer technology, several watermarking strategies have developed during the past 20 years. Integrate a picture of identity that is not always concealed, such that no detail is not possible to delete. A monitoring code can also be used to deter unauthorized recording equipment. Another application is the watermark copyright control, which works at stopping the creator of the image from stealing photos unlawfully. A watermark is a promising option for the copyright transcendence of multi-media files, as embedded messages are still included. Due to the limits of fidelity, a watermark may be implemented in a small multimedia data space. There is no proof that Automated Watermarking technologies will fulfil the ultimate purpose of the cleaners of all sorts of copyright security operations to gather knowledge from the data they obtain. Relevant situations may be deemed more fairly expected with the usage of automated copyright marking technologies. A perfect device will not be able to add a digital watermark without the limit, which does not supply the whole object with details. In this work, a modern technique for watermarking includes injecting two or more messages or photographs into a single picture for protection purposes and repeating a similar procedure for N-frames for authentication in the film.
The effect of injection process for microcellular foaming on the cell morphology and surface quality of Polyamide 6
Authors: Jiang Tuanhui , Zhang Heng , Zeng Xiangbu , Zhang Chun , Gong Wei , He Li 
Published: April 2021

Abstract
Microcellular foamed polymers have been widely used in the traffic field. However, it is difficult to successfully manufacture microcellular foamed products that simultaneously possess good cell morphology, small size, high cell density, and great surface quality. In this paper, polyamide 6 (PA6) injection microcellular foams were manufactured via short-shot and core-back foaming process to investigate the effect of the foaming process on cell quality and surface quality. Results showed that the core-back injection PA6 foams possessed a smaller cell size, higher cell density, lower cell deformation, and greater surface glossiness than short-shot foams. The cell density of core-back PA6 microcellular foams reached to 12.5 × 105 cell/cm3, which is almost 3.5 times greater than that of the short-shot foams when the weight reduction was 10%. The PA6 microcellular foams manufactured via the core-back foaming process had higher surface glossiness with different weight reduction, whereas the surface glossiness of short-shot microcellular foams dramatically declined with an increase in weight reduction. Hence, the core-back foaming process can be used to fabricate microcellular foamed polymers with good cell morphology, small size, high cell density, and fine surface quality under high weight reduction; this was beneficial for producing products that have good surface quality and high weight reduction and are used in automobiles, high-speed trains, and airplanes to reduce energy consumption.
Highly compressible graphene aerogel with high thermal conductivity along both in-plane and through-plane directions
Authors: Lv Peng , Miao Haipeng , Ji Chenglong , Wei Wei 
Published: April 2021

Abstract
Graphene-based thermal interface materials (TIMs), such as horizontal graphene papers and vertical graphene monoliths, commonly possess high thermal conductivity (TC) only along either in-plane or through-plane direction due to their high anisotropy structure. Three-dimensional (3D) graphene monoliths with interconnected network can extend the excellent thermal transport performances of two-dimensional graphene to macro monoliths along multi-directions. However, the high porosity of 3D graphene monoliths usually leads to low TC. Here, highly compressible graphene aerogels (HCGAs) with closely packed cell walls and regularly cellular structure were prepared. The HCGAs can be highly compressed (95% compressive strain) to reduce the porosity while maintaining the continuously thermal transport paths. Significantly increased TC along both in-plane and through-plane directions can be obtained by directly mechanical compression of the aerogels. HCGAs with initial density of 11.5 mg cm−3 at 95% compressive strain possess in-plane TC of 167.2 W m−1K−1 and through-plane TC of 46.8 W m−1K−1, which outperforms other carbon-based TIMs reported previously.