bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of green public procurement specifications in government institutions: Case study in Central Java, Indonesia
Authors: Puspitasari Nia Budi , Glennardo Paskalis 
Published: August 2021

Abstract
The construction industry has always been the biggest contributor to environmental damage. With the emergence of Leadership in Energy and Environmental Design (LEED) certification and Mayor Regulation Number 24 of 2019 concerning green buildings and Presidential Regulation in Indonesia concerning the importance of green industry products in the procurement process led to the emergence of urgency for the construction sector to create a focus on green. One focus that needs to be considered because contributing a large role in the construction process from beginning to end is the procurement process. The problem that occurs is that there is no awareness from Project Manager in Central Java is regarding environmental aspects in making procurement specifications. This is evident because the consideration of certification of Environmental Impact Assessment, and Occupational Health and Safety Regulation has not yet been taken into consideration in the specification of Project Manager considerations. As a result, government buildings have 46% lower energy efficiency compared to private buildings. With the DEMATEL method, it was found that the criteria “lowest bid value”, “Reducing the use of hazardous materials”, “Minimizing energy consumption”, “Minimizing energy loss”, “Clarifying environmentally friendly fuels”, “Impact on the environment during and after construction”, “Work procedures”; “Supervision”, and “Frequency of failure” is a criterion that is considered to influence other criteria is greater and can be an urgency for the government of Central Java.
Risk mitigation of goods procurement process using interpretive structural modelling, MICMAC analysis and house of risk methods
Authors: Yustika Reza , Tan Hauw-Sen 
Published: August 2021

Abstract
The purpose of this research is to identify risks and causes of risk that occur in the flow of the company’s supply chain, identify the linkages between risks and design treatment strategies that can be used to reduce the emergence of risk agents. The research methods used are Interpretive Structural Modelling, MICMAC Analysis, and House of Risk. The identification results show that there are 12 risks and 26 causes. Based on the analysis, the relationship between one risk and other results in 8 levels and 2 quadrants. The results of the analysis also show that 15 causes of risk will be carried out by designing a handling strategy. There are 11 treatment strategies proposed to reduce the probability of risk causes. From this analysis, it can be concluded that the procurement process needs to carry out mitigation based on the highest priority, such as changing the business process to e-procurement, differentiating the format between the revised PR and the original PR, updating the cost evaluation data regularly.
Prediction model to predict the number of damaged houses due to earthquake
Authors: Oktarina Rienna 
Published: August 2021

Abstract
The earthquakes can cause serious the disruption to the functioning of a community, and can cause physical damage, including damage to houses and the environment. The number of damaged houses by the earthquake needs to be predicted well, so the disaster management activities can be carried out properly as well. This research performs calculations to predict the number of damaged houses by the earthquake, using RADIUS. The results obtained from the prediction model in this study still provide a high error value, which is 71.9%. This means that the output of the prediction model in this research is not accurate enough to predict the number of damaged houses by the earthquake in Indonesia. However, the prediction model in this research is presented in a mathematical model and has clearly shown the relationship between the input and output variables. So that it is easy to understand and can be developed in further research more easily. The prediction model for the number of damaged houses in this research then can be developed into an estimation model for the relief items needed by the internally displaced persons (IDPs). After predicting the number of damaged houses, the process of estimating the number of IDPs then can be carried out, if the estimated number of IDPs is known, then an estimate of the relief items needed by the IDPs can be calculated well.
Bacterial inactivation by using non thermal argon plasma jet and its application study for non thermal raw milk processing
Authors: Kasih Tota Pirdo , Mangindaan Dave , Ningrum Afifah Septia , Sebastian C , Widyaningrum D 
Published: August 2021

Abstract
The present paper deals with the research about bacterial decontamination by using non thermal argon plasma jet and exploring the argon plasma jet application study for non thermal raw milk processing. Escherichia coli and Staphylococcus aureus bacterias were chosen in this research to be treated by argon plasma jet system, due to those types of bacterias are usually contained in raw milk. The bacteria that have been cultured in agar media was irradiated by argon plasma jet at various plasma treatment time to understand the effect of the jet on the bacteria growth. It was found that the growth of bacteria was inhibited proportionally with the plasma treatment time in their appropriate agar media. This was clarified by the increasing of inhibition zone diameter of bacteria’s growth in petri dish. From this result, attempting the application of the developed plasma system for raw milk processing by adopting the system to generate plasma under liquid milk. Argon plasma discharge inside the milk solution can be generated by applying 1.5 kVp-p electrical AC power and the operation temperature could be constantly kept under 32°C even after 15 min underwater plasma treatment to confirm non thermal processing. Investigating the effect of plasma treatment time on non thermal raw milk processing has been done, however all the results show the achievement still less comparable with the conventional raw milk processing, thermal pasteurisation.
Convolve4D: A Novelty Approach to Improve Convolutional Process
Authors: Liawatimena Suryadiputra , Abdurahman Edi , Trisetyarso Agung , Wibowo Antoni , Atmadja Wiedjaja , Effendi Fandy , Edbert Ivan Sebastian 
Published: August 2021

Abstract
Convolutional neural networks (ConvNet or CNN) are deep learning algorithms that can process input images, assign meaning to various aspects or objects in the image (biases and learnable weight) and recognize one image from another. The bigger kernel size will take more time to process the input.We present a novelty way to use a 4D rank tensor to improve a convolutional process. At the early stage of the Convolve4D development, the edge detection with 3×3 kernel and The Laplacian of Gaussian (LoG) with 5×5 kernel size was used to demonstrate the convolutional process improvement. The Convolve4D needs more elaboration to be used into a CNN algorithm. The advantage of convolve4D is only need 9 loops to calculate 81 outputs, whereas convolve2D need 9 × 9 × 3 × 1 × 7 × 7 = 11.907 loops. The result is 18.5% shorter when using a 5×5 kernel; it reduces from 0.54 seconds to 0.44 seconds for the edge detection convolution process.
A Design of Deep Learning Experimentation for Fruit Freshness Detection
Authors: Valentino Febrian , Cenggoro Tjeng Wawan , Pardamean Bens 
Published: August 2021

Abstract
Indonesia is a country with a tropical climate so that fruit and vegetable plants can grow easily in Indonesia.Fruits have many good nutrients such as vitamins, proteins and others. But the fruit also has a period where the fruit is said to be fresh fruit.During this time there are still many fruit supplier companies that send fruit unfit for consumption due to lack of accuracy in the process of sorting the fruit when the fruit is taken from the plantation and the entry of other fruit into an improper packaging. Thus, it makes detecting food spoilage from the production stage to consumption is very important. We propose a design of computer vision-based technique usingdeep learning with the Convolutional Neural Network (CNN) model to detect fruit freshness. The specially designed CNN model is then evaluated with public datasets of fruits fresh and rotten for classification derived from Kaggle.
Comparison of fall detection methods and the prospect of model-based: pattern recognition on green computing implementation by using smartphone
Authors: Astriani Maria Seraphina , Bahana Raymond , Kurniawan Andreas , Yi Lee Huey 
Published: August 2021

Abstract
Portable healthcare solution to detect fall is needed for special care people and elderly, especially if they want to live independently. If this solution needs special made device by the factory, it requires huge electric consumption, lots of materials, and can contribute to the environmental pollution. Smartphone is one of the most promising device to be used as fall detection because it has lot of potentials: easy to find, compact, has sensors, and can even be accepted by elderly. There are two main approaches in fall detection: threshold-based method and model-based: pattern recognition method. Threshold-based usually been used in real life because it can be developed quite quickly and use minimal computation process to provide movement classification result (fall or non-fall). Model-based: pattern recognition method (using machine learning) has relatively better accuracy result but requires a long training time, a lot of resources to process, and more difficult to be developed. The researchers present the comparison results of threshold-based and model-based: pattern recognition; and optimizing the model in machine learning so the model has the prospect to be implemented in applications to support green computing.
Data Engineering Pipeline to Analyse Jakarta’s Air Quality during COVID-19-Caused Lockdown Periods
Authors: Rahutomo Reza , Pardamean Bens 
Published: August 2021

AbstractJakarta lifted up lockdown after passing more than 50 days of large-scale social activity restriction and initiated phase opening to new normal. To analyse Jakarta’s air quality after passing lockdown, a pipeline of data engineering is needed. By acquiring time series data from openaq.com, a time-series database system is developed with Python programming language and its fundamental libraries namely Pandas, NumPy, SQLite. After PM 2.5 data are pre-processed into average per-hour and grouped by applicable periods (pre-lockdown, lockdown, and phase opening), a pattern of PM 2.5 in South Jakarta is revealed by using data visualization library Matplotlib. The apex of PM 2.5 occurs earlier during lockdown (04:00) and phase opening (02:00) rather than when it was normal or pre-lockdown (08:00) even though the nadir of PM2.5 still occurs at the same time (16:00 – 17:00).
Data for Genomics in Healthcare: The Potential of Next-Generation Sequencing in Developing Precision Medicine
Authors: Antara Dafa Dwi , Lie Michael Yahezkiel , Darisza Muhammad , Kertapati Nicola , Valentino Ivan , Mahesworo Bharuno , Nurlaila Ika , Soeparno Haryono 
Published: August 2021

Abstract
Recent advances in genomics on healthcare technology have opened the path towards more precise treatments by analysing patients’ genome using a high throughput DNA sequencing technology called Next Generation Sequencing (NGS). The information obtained is further used to determine a more effective treatment path for patients based on their genetic profiles. It can also be employed to predict the risk of patients developing certain diseases. Despite particular difficulties it might create in the first phase of settling the integrative frameworks down, a successful combination of NGS and Big Data technology would offer a huge improvement in terms of the effectiveness of treatments and medicine administration for the patients. This paper elucidates a general overview of how NGS-based DNA sequencing makes precision medicine possible and describes the use of Big Data for genomics in healthcare-wise.
Electric Wheelchair Using Blynk Smartphone Application
Authors: Nadjib F A , Sihombing H P , Linggarjati J , Hedwig R 
Published: August 2021

Abstract
Automated or controlled wheelchair is becoming a common helping equipment for disable person and it comes vary in the term of technology usage and price. An electric wheelchair mainly used by people who has lack strength in using both hands to move the wheel freely when he/she was alone. In this research, we combined smartphone and an electric wheelchair for controlling its movement independently. An ultrasonic sensor was equipped for obstacle detection with 97% accuracy, however the price of the total system is approximately $200 ($1 = IDR15,000) which is comparable with the similar system in the market.
Architecture Design of Agriculture Marketing Mobile Apps During Pandemic Era
Authors: Kusumawati Yudhistya Ayu , Huda Miranti Nurul , Dirgantara Satrya , Carvenoriega Obbyta Adzandy 
Published: August 2021

Abstract
The increasing positive cases of Covid-19 have quite significant impact on the Indonesia economy especially for Small and Medium Enterprises (SME’s). The Indonesian government is preparing a way to live side by side with the COVID-19 outbreak through less contact activity (LCA). Regarding the thematic efforts for economic recovery after the implementation of the new normal protocol, the adaptation process in people’s economic activities known as the Less Contact Economy (LCE) which can be interpreted as economic activity without contact, but by using digital communication equipment. This model of economic activity, which is strongly influenced by current technological trends, will certainly be the future of the world economy, as part of the 4.0 industrial revolution. For example: mobile apps based on e-commerce. Based on design thinking process, this paper proposes a practical interface design for mobile apps design. In this research, the researcher designing Graphical User Interface (GUI) for mobile apps based on e-commerce “Tuku Sayur” to marketing and distribute agriculture products during pandemic. GUI is one of the most important issues in development of mobile apps. The major problem in the interface design mostly caused by unique feature of mobile device. This is quite challenging for designer how to present clear user interface on a limited screen without overload. The Semantic Differential method was used to understand the impression captured by respondents on the GUI design of Tuku Sayur application. This research is very important to help farmers to marketing and distributing agriculture products through mobile apps. Hopefully, this research can be used as a reference to published mobile apps to support less contact economy in order to makes the economy relatively productive during the pandemic.
Asset Management Based on RFID Card
Authors: Wijaya Rico , Imanuel Joseph 
Published: August 2021

Abstract
Asset is valuable properties belonging to company. To support daily activities, usually companies lend their assets to the employees. Lending and borrowing assets can be problematic if the company does not have good asset management tool. We studied one of the ISP company in Jakarta that need help to create asset management tool for their daily activities. Human error and untraceable historical data were the main problems of the company’s old system. The objective of this project is to help providing solution by designing a prototype system of an asset management tool, especially for lending process to the employees. The system is using RFID-card, barcode, camera, and web-based client server architecture. By using this architecture, the asset lending process can save both paper and time consuming for borrowing process. After going through several stages of an experiment and data collection, it can be concluded that this design succeeded in helping the asset lending process to be better, which can be proven by the results of user satisfactory surveys that have been done
Optimization of functional beverage formula made from turmeric, tamarind, and ginger by D-optimal mixture design
Authors: Surya Reggie , Romulo Andreas , Susilo Eliana 
Published: August 2021

Abstract
Turmeric, tamarind, and ginger are widely used as ingredients of Indonesian traditional beverage known as jamu. This latter is known for its beneficial properties for human health, such as high antioxidant capacity, which make it potential to be developed as functional beverage. This study aimed at optimizing functional beverage formula made from turmeric, tamarind and ginger with regard to antioxidant capacity and sensory qualities using D-optimal mixture design. It was revealed that the optimum formula was the mixture containing 5.0%(v/v) turmeric extract, 9.9%(v/v) tamarind extract, 15.1%(v/v) ginger extract, 40%(v/v) sugar solution, and 30%(v/v) water. Such a formula exhibited an antioxidant capacity of (0.184 ± 0.002) mgAEq/mL and an overall hedonic score of 4.27 (out of 7).
The Effect of Sucrose on Growth and Morphology of Rodent Tuber (Typhonium flagelliforme) Plantlets in Minimal Growth Preservation in vitro
Authors: Sianipar Nesti Fronika , Vicky  , Tarigan Romesta , Assidqi Khoirunnisa 
Published: August 2021

Abstract
Rodent tuber (Thyphonium flagelliforme) is a herbal plant that has anticancer bioactive compounds. In vitro, conservation is attemptto preserve germplasm under aseptic conditions. Conservation techniques are used to store germplasm and minimize somaclonal variation. This study aims to identifysucrose’s effect on the minimum growth of rodent tuber in vitro culture and obtain the right sucrose concentration to store rodent tuber in vitro for extended shelf life. This study was used plantlets from Bogor and Pekalongan using ½AMS medium with 40, 50, 60, and 70 g/L sucrose treatment. In the treatment of 70 g/L sucrose concentration on rodent tuber from Bogor inhibited the increase of the number of shoots, number of leaves, root length, number of rootswas 0.50, 2.45, 1.43 cm, and 15.38, respectively. The growth of rodent tuber from Pekalongan on media with a sucrose concentration of 70 g/L resulted in the average number of shoots, number of leaves, root length, number of rootswas 0.98, 1.47,2.10 cm, and 13.74, respectively. Morphological changes in rodent tuber from Bogor and Pekalongan occurred in the number of shoots, the number of leaves, root length, and the number of roots with 70 g/L sucrose treatment.
Functional properties of Boesenbergia pandurata and Murraya paniculata: A review
Authors: Chandra Shierly , Lo Diana 
Published: August 2021

Abstract
Indonesia is a tropical country which cause so many types of herbs and spices can grow, such as Fingerroot (Boesenbergia pandurata) and orange jessamine (Murraya paniculata). These two herbs are widely used in traditional medicines by Indonesian local inhabitants. Based on the literature studies that have been carried out on several scientific journals, it can be concluded that fingerroot plants possess functional properties like antioxidant, anti-inflammatory, anti-microbial, anti-carcinogenic, anti-aging, anti-obesity, and inhibition of melanogenesis and tyrosinase activities, while orange jessamine leaves have antioxidant, anti-inflammatory, anti-microbial, anti-nociceptive, and anti-diarrheal activities.
Implementation of Reusable Plastic Waste and Electronic Cable Waste as Space Divider: Responding Sustainability Issue in New Normal Living-Study Case in a Small Coffee Shop
Authors: Latif F , Chadijah S , Fanthi R 
Published: August 2021

Abstract
Plastic waste and Electronic cable waste (E-waste) is two of the major issues in global environmental problem especially in the urban lifestyle, and it is increasing rapidly towards the time. The year 2020 is new normal condition in order to face covid-19 epidemic, which make the society have to be more aware of their personal hygiene and maintain physical distancing between one another. Feeling safe is an important aspect for the society to keep their social life in a public space such as a restaurant/cafe. A divider is introduced in the social environment such as restaurants to accommodate conversation while enjoying meal together with family or colleagues. And this such of dividers will add more waste into the environment. This study is to seek an alternative solution to utilize plastic waste and electronic cable waste into new goods that have new use of values related to new normal conditions. E-Waste dividers are made from cables and plastics waste offering a creative way to design a divider, and can simultaneously reducing amount of e-waste as well. The design has standards criteria such as easy to clean, and the function is to block droplets spreading. It has a storage technique uses a folding technique to facilitate storage arrangements, and it is designed aesthetically to accommodate the divider design of a restaurant/cafe. For further study, the divider can be made from other type of e-waste, and it can be designed as a divider in other public spaces.
A study on PV floating solar system for Grouper Fish aquaculture in Pulau Panggang, Jakarta
Authors: Hendarti R 
Published: August 2021

Abstract
This paper presents the study of floating photovoltaic (PV) system integrated with Gropuer fish in Panggang Island, Indonesia.. The Grouper fish in Panggang island is generally cage, therefore, the study included the floating PV system, the type of site location of aquaculture and the supporting structure. The outcome of the study is to make an initial concept of form and the supporting system for the PV floating PV systems that is suitable with the existing cage type.
The study of millennial needs and willingness to share living space in Jakarta, Indonesia
Authors: Mangkunegara S N , Nurdiani N , Katarina W 
Published: August 2021

Abstract
This research presents a study of millennial needs and willingness to share living space in Jakarta. This study aims to investigate the tolerance level of millennial generation in sharing living space by considering their comfort. This aspect is needed to determine the ideal shared housing preferences as a place to live for millennials. The research steps are as follows: (1) Conduct a questionnaire survey to investigate the willingness of millennials to share space in shared housing, (2) Observe the tolerance level and comfort towards the willingness of millennials to share certain spaces in a living space. The results show that the willingness to share certain spaces is still quite low because millennial in Jakarta still prioritize the aspect of privacy. In addition, it was found that men who tend to have a greater tolerance for sharing living space compared to women.
A Study of Concept Design Massing Generator for Urban Houses in Jakarta
Authors: Prawata AG 
Published: August 2021

Abstract
This paper presents the study of application massing configuration in typical urban houses in Jakarta. The study is aimed to present architectural project examples by architectural firm Studio Arsitektropis based on operative and conditional design strategies. The results showed that the operative and conditional design strategies could facilitate and become a quick design tools to produce the massing design concept, which emphasizes the sustainable aspect of natural lighting and air circulation; stack effect ventilation. The steps of study are as follows: (1) to study spatial verbs of massing design concept, (2) to study conditional design of architectural elements, and (3) to apply these studies into the conceptual design process within the practice of Studio Arsitektropis housing works in Jakarta.