bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioethanol production using the SSF method (simultaneous saccharification and fermentation) of microalgae anabaena sp.
Authors: Permatasari N S , Zainuri M , Kusumaningrum H P , Mishbach I , Hastuti E D 
Published: June 2020

Abstract
Bioethanol is one of the alternative energy sources that answer the current energy crisis problems. The advantage of bioethanol compared to the fuel oil (BBM) is biodegradable. It contains an octane and high oxygen so it is flammable and reducing global warming emissions. Recently, the main ingredient of bioethanol has entered the third generation which is using microalgae. Anabaena sp. is one of the microalgae types from cyanobacteria which has the advantage of being used as bioethanol because it has carbohydrate biomass of about 20-30%. This research is aimed to produce bioethanol from microalgae Anabaena sp. The bioethanol production method used SSF because the advantage showed the converted polysaccharides into monosaccharides did not return to polysaccharides. It was caused monosaccharides directly fermented into ethanol. The use of one reactor reduced the cost of the process in the equipment used. This research was conducted in several stages, namely the preparation of raw materials, acid hydrolysis using H2SO4 1 M, and fermentation with the help of Saccharomyces cerevisiae microorganisms anaerobically. The results showed that using the SSF method was able to produce ethanol levels of 7%.
Morphotypes and molecular characterisation of pink pigmented bacterial symbiont of Turbinaria sp.
Authors: Lunggani A T , Kusdiyantini E , Imtiyaz F D 
Published: June 2020

Abstract

Turbinaria sp. is one of the species of the brown algae class that has extraordinary prospects for human health. The potential of the brown algae makes it a target for the search for sources of beneficial bioactive compounds in the pharmaceutical world. However, a serious problem in the development of bioactive compounds from these biotas is the problem of supply, because to obtain a relatively small number of active compounds requires a large number of marine organisms. It was reported that there are associations of microorganisms with brown algae which are thought to synthesize secondary metabolites such as the host organism. The presence of bacteria that is symbiotic with brown algae has made it possible to use these organisms as the main source of bioactive compounds from the marine. KRT-7 isolate is a pink bacterial isolate from the Turbinaria sp. collected from Menjangan Kecil, Karimunjawa Island, Indonesia. This isolate has been known to produce bio pigment and genes coding for its bioactive compounds. However, the physiological morpho character and its molecular identity are unknown. The study aims to determine the morphophysiological character and molecular identification of the prospective isolates. The research results obtained will contribute a scientific finding of the prospect of genetic diversity of Indonesian marine bacterial isolates and their corridor utilization as a source of bioactive compounds.
Molecular identification and antioxidant test of Chaetoceros sp. from Gondol, Bali
Authors: Susetyo M A , Kusumaningrum H P , Jannah S N , Abdullah R 
Published: June 2020

Abstract
Chaetoceros is one of the largest genera of microalgae that has more than 400 species and it is the primary producer in the marine ecosystem. Chaetoceros sp. has some of the pigment which is very important for their survival including chlorophyll and carotenoid pigments. This study aims to identify Chaetoceros sp. from Gondol Bali using ITS fragments, to understand its phylogenetic relationship between microalgae-based on their antioxidant activity. The results of ITS fragments identification and antioxidant activity of Chaetoceros sp. will be used to develop further research related to its potency. The method for microalgae DNA isolation was conducted using the Doyle and Doyle method following with amplification using ITS4 and ITS5 primer. Then, the sequences will be analyzed. The antioxidant activity will be performed by the DPPH method. The results of DNA isolation showed the concentration and purity for about 2842.1 ng / µl and1.97 respectively. PCR products from the amplification of the ITS fragment produced 882 bp. Phylogenetic analysis revealed that Chaetoceros sp. from Gondol Bali had a close relationship with C. muelleri KF 998567.1 and the antioxidant activity test showed IC50 values were about 72,386 ppm.
Potential of phytotechnology in wastewater treatments to produce alternative electrical energy: a review
Authors: Zaman B , Samadikun B P , Budihardjo M A , Hardyanti N , Rachma A F , Hasna S I 
Published: June 2020

Abstract
Recently, phytotechnology has gained much attention due to its capability in treating wastewater by biological processes. Phytotechnology is the application of science and engineering to examine environmental problems and provide solutions by the direct use of plants for in situ removal or degradation of contaminants or improving environmental function and quality. This process using bacteria formed in the roots of the plant and it can be applied to treat the wastewater. In this phytotechnology process, it presents the potential for energy generation and comprehensive wastewater treatment in Microbial Fuel Cell (MFC) system, which in the process utilizes bacteria that can produce alternative electrical energy because of the activity of bacteria which can self-mediate electrons to the anode through contact between the membrane-anode. MFC are expected to be applied to energy-saving wastewater treatments (WWT). The combined of MFC and phytotechnology system have function to degrade organic compunds and remove contaminant contained in wastewater to produce bacterias that come out in the roots and then the bacterias will be used by electrodes to produce electricity. This paper will analyze the advantage and disadvantages of phytotechnology system while used to produce electrical energy by MFC system as hybrid system. Based on the existing research, show that phytotechnology has a lot of advantages. One of the advantages is promising low cost, highly efficient, and renewable energy-producing alternative to conventional wastewater treatments.
Effects of percent weight of divinylbenzene as crosslinking agent on the properties of eugenol–divinylbenzene copolymers
Authors: Prasetya N B A , Ngadiwiyana N , Ismiyarto I , Sarjono P R 
Published: June 2020

Abstract
Synthesis of eugenol-divinylbenzene copolymers were carried out by reacting eugenol with various percent weight of divinylbenzene in a reactor at room temperature for 24 hours in the presence of sulfuric acid as a catalyst. Methanol was used to quench the copolymerization process. The effect of DVB mass on copolymer properties was studied based on molecular weight, thermal stability, surface morphology and swelling degree of the copolymers produced. The weight percent of the added DVB was responsible for the molecular weight of the copolymer by multiplying the site for propagation in the copolymerization process. In addition, the greater DVB used the better thermal resistance of polymer is obtained, which is possibly due to the higher number of DVB causing the larger cross-linked polymer network to increase the polymer bond thermal resistance. The swelling degree value was also affected by the number of crosslinkers used, in which make the polymer material become harder to expand. However, the influence of the weight percent of DVB was not seen on the copolymer morphology.
Synthesis of derivatives azomethine compounds bonded to alkoxylated benzene and their antibacterial activity tests
Authors: Ismiyarto I , Rizki N , Ngadiwiyana N , Sarjono P R , Prasetya N B A 
Published: June 2020

Abstract
Azometin compound has been synthesized from addition-elimination reaction between aromatic aldehyde compounds such as benzaldehyde, veratraldehyde, piperonal with primary amine compound from ethylenediamine. The presence of imine group (>C=N-), and alkoxy groups such as methoxy (-OCH3) and methylenedioxy (-O-CH2-O-) affected to their activity as antibacterials. In the synthesis of methoxy substituted azomethine compound from verataldehyde with ethylenediamine to produce N,N’-Bis(3,4-dimethoxybenzylidene) ethylenediamine in the form of white powder has a melting point of 164.8–166.2°C and in about 36.08% yield. In the synthesis of methylenedioxy-substituted azomethine compound from piperonal with ethylenediamine produced N,N’-Bis(3,4-methylenedioxybenzylidene) ethylenediamine in the form of greenish-white solid has a melting point of 176,3–177,4°C and in about 67,88% yield. In the synthesis of non-substituted azomethine compound from benzaldehyde with ethylenediamine produced N,N’-Bis(benzylidene)ethylenediamine in the form of orange solid has a melting point of 110.2-111.4°C and in about 34.82% yield. Antibacterial activity of compound N,N’-Bis(3,4-dimethoxybenzylidene)ethylenediamine, N,N’-Bis(3,4-methylenedioxybenzylidene)ethylenediamine, and N,N’-Bis(benzylidene) ethylenediamine with inhibitory zone diameter 0, 25; 3,08; 0.06 mm in S.aureus bacteria (G+) and 3.26; 4.61; 3.48 mm in E.coli bacteria (G−).
Economic analysis of planning for utilization of tabang hydro power plant
Authors: Windarta J , Saptadi S , Handoyo E , Machfudz L , Renaldo D , Saintekha M A 
Published: June 2020

Abstract
From the technical side, analyzing the hydropower design planning that matches the conditions of the Belayan River. From the economic side, analyzing the feasibility of hydropower projects through investment costs along with cash flow to the economic life of the project, using several methods, namely Net Present Value (NPV), Payback Period (PBP), Benefit Even Point (BEP), Benefit-Cost Ratio (B-CR), and Internal Rate of Return (IRR). The results of technical analysis with reliable discharge Q (10%) produce an output power of 439,4 MW with 4 generators, the power is then transmitted to the Melak Main Station with a distance of ± 100 km. Investment costs incurred in the planning of the construction of the Tabang hydro power plant (PLTA) in East Kalimantan is 3.673.356.951.235. The net present value (NPV) obtained is Rp.3.911.323.016.835 with a return on investment of 7.77 years and a break-even point for expenses and income in the 11,36 year. The ratio of project cost and benefit ratio is 1,32 and IRR (Internal Rate of Return) calculation is 19.53%. These results indicate that the plan to build a Tabang hydropower unit in East Kalimantan is economically feasible.
Analysis of queue and performance of automatic toll booths with a normal distribution (case study: automatic booths toll gate muktiharjo)
Authors: Sihotang E , Sugito  , Mustafid  , Ispriyanti D , Prahutama A , Rachman A 
Published: June 2020

Abstract
Queue process is a process related to the arrival of customers in a service facility, waiting in line queue if it cannot be served, get service and finally leaves the facility after being served. Research on the queue process can be seen directly through the queue system. Queue models and their distribution were obtained using the Sigma Magic program. The model of the vehicle queue system at the Muktiharjo Automatic Toll Gate is (NORM/NORM/4):(GD/∞/∞). Based on the values of the queue system performance measures obtained through the MATLAB GUI program as a whole it can be concluded that the queue of vehicles at the Muktiharjo Automatic Toll Gate has a condition where the average number of vehicles estimated in the system every 30 minutes is 99,2564 vehicles. The average number of vehicles in the queue system every 30 minutes is 98,2557 vehicles. The waiting time in the system is estimated to be around 15,51732 seconds. The estimated waiting time in line is around 15,36084 seconds. The queue system has a busy opportunity for 63.2849%. The simulation of the vehicle queue system at the Automatic Toll Gate of Muktiharjo Toll Gate by using ARENA is optimal with 4 automatic toll booths.
Supplier selection in rank order using fuzzy ahp and fuzzy molp with sensitivity analysis
Authors: Kurniawan F H , Surarso B , Suseno J E 
Published: June 2020

Abstract
Supply chain management (SCM) plays a great role in any company, a good SCM requires a good selection of all its components. One of the components is the raw material supplier selection that needs to consider both tangible and intangible factors in each supplier. Therefore, we can use fuzzy AHP which uses an intangible approach and fuzzy MOLP which uses a tangible approach. In this paper, we aim to use both methods to get the rank order of the best suppliers from all 5 suppliers in a woodworking company. The result shows that both methods can work together as the rank order from both methods gives the same result. However, sensitivity analysis is done in case both methods give different rank order. Sensitivity analysis shows that change in criteria from 10% to 100% make a variance in fuzzy AHP from 0% to 30% while fuzzy MOLP from 75% to 100%. That means fuzzy AHP is more robust than fuzzy MOLP. We also found that fuzzy AHP is influenced heavily by the expertise of the expert as two experts give different results while fuzzy MOLP is more objective-oriented using real data. These results suggest that each Method has its own characteristics that must be put into mind when we use it.
Modeling of composite stock price index (CSPI) using semiparametric regression truncated spline based on GUI R
Authors: Marbun W , Suparti  , Maruddani D A I 
Published: June 2020

Abstract
The Composite Stock Price Index (CSPI) is widely used as the beginning of consideration for investors to invest, because from the CSPI it can be known the general situation of market conditions is whether stock prices are experiencing an increase or decrease. This condition is characterized by a decrease or increase in the price of the CSPI. The Amount of Money Supply and the NASDAQ Index is thought to affect the price movements of the CSPI. The Amount of Money Supply has a nonparametric relationship pattern to the CSPI and the NASDAQ Index has a parametric relationship pattern to the CSPI. The correct method for conducting modeling is use the semiparametric spline truncated regression. The semiparametric regression spline truncated coefficient is estimated using the Ordinary Least Square (OLS) method which is determined based on the polynomial degree, much and the location of the optimum knot point is seen from the criteria of Mean Square Error (MSE). This study uses (Graphical User Interface) GUI R with the intention of facilitating the analysis process. The data used are monthly data from June 2014 to March 2019. Based on the results of the analysis that has been done, the best semiparametric spline truncated regression model with order 3 with the optimal three knots is 4246.361, 4443.078, and 4730.38. Evaluation results the in-sample data model produces a coefficient of determination of 90.25%. The results of the performance evaluation of the out sample data model resulted in a MAPE value of 3770204% indicating the performance of the model was very good.
Usability testing mozita application based on use questionnaire model
Authors: Rizal M F , Widodo A P , Adi K , Riyanto D E R , Nurhayati O D 
Published: June 2020

Abstract
Mozita is an application used by midwives to record and report the toddler nutritional status in the local health center (Puskesmas). In addition to nutritional status information, Mozita can present information that is used by heads of puskesmas, district health offices and provincial health offices for monitoring and decision making in terms of health policy based on nutritional status. To be able to increase application usage, feedback from users is needed. With USE Questionnaire-based usability testing covering aspects of Usefulness, Satisfaction and Easy of Use. Usability testing is focused on the interaction part of the user interface (midwife), as the main source of data collection. This study used 15 midwife respondents who were randomly drawn from puskesmas in the city area of Semarang. The technique used to measure usability testing is to provide an explanation and guidelines for using the Mozita application before respondents fill in the questionnaire using a Likert scale from 1 to 7. The questionnaire used is equipped with in-depth interviews for question items whose Likert scale value is less than equal to 3 The indepth interview aims to provide a focus on improving the Mozita application interface to suit user needs. The results of usability testing that has been done on the Mozita application shows that the value of the Usefulness component is 84.52%, Easy of Use is 83.53%, Easy of Learning is 80.95%, and Satisfaction is 85.03%. Based on the value of each component measured shows that the Mozita application has a high usability value that is equal to 83.52%, and makes it easy for users to carry out work more efficiently. Some user feedback related to satisfaction aspects, especially in the Mozita application layout section is still simple needs to be done for a better layout design.
The use of mobilenet v1 for identifying various types of freshwater fish
Authors: Suharto E , Suhartono  , Widodo A P , Sarwoko E A 
Published: June 2020

Abstract
In recent years, the business opportunities for freshwater fish potential utilization are very promising. Freshwater fish including pomfret, Nile tilapia, carp, goldfish, tilapia fish, snapper fish, and catfish have great economic value. They are usually exported in living conditions to several countries such as Singapore, Japan, Hong Kong, Taiwan, and Malaysia. The business of fish particularly freshwater fish is one of the national income sources. As the forms of fish vary, it is important to distinguish the types of freshwater fish utilizing object detection. This detection can be done by implementing deep learning. MobileNet V1 is a deep learning model that can be used for object detection or image classification. MobileNet V1 can work on smartphones or other embedded devices that still produce high-level accuracy. In this study, MobileNet V1 was trained with learning rate parameters 0.0004 and epoch 20.000. The use of these parameters obtained an accuracy rate of 90% in the detection of types of freshwater fish.
The best architecture selection with deep neural network (DNN) method for breast cancer classification using MicroRNA data
Authors: Ginanjar S , Suhartono  , Wibowo A , Sarwoko E A 
Published: June 2020

Abstract
Breast cancer is one of the most common causes of death in the world. One way that can be done to reduce the number of death cases is to do early detection using MicroRNA data. MicroRNA is one of the cancer biomarkers that can help in the classification process. MicroRNA can be used to identify whether a cell is a cancer cell or not even in the earliest stages. The deep Neural Network (DNN) method consists of two or more layers of self-learning units (hidden units). The weight of hidden units that are fully connected between two layers can be learned automatically. However, DNN still has a weakness which is the changes in the distribution of each layer’s inputs that cause problems, because the layers need to continue to adapt to the new distribution and produce less optimal accuracy values. This research was conducted to get the best architectural selection of the DNN method used for breast cancer classification using MicroRNA data. The results of the DNN method with the best architecture obtained was 3 hidden layers with 200 hidden units each, 30% dropout rate in the combination of the ReLU, ReLU, ReLU activation functions and the learning rate of 0.04 resulting in the highest accuracy of 94.58% with a specificity of 96.45% and sensitivity of 91.02%.
Evaluation of student academic performance using e-learning with the association rules method and the importance of performance analysis
Authors: Ramadiani R , Kurniawan A , Arifin Z , Jundillah M L , Alex R , Azainil A , Hidayanto A N 
Published: June 2020

Abstract
In managing the student study process, there is a pattern that occurs repeatedly every year. The recurring data will produce information in the form of student profiles, entry paths, student academic results, study period, average graduate-level and much other information as long as students take the process of teaching and learning activities. This research was conducted to predict student performance and e-learning satisfaction at the Computer Science department in Mulawarman University using the Association Rules method and Importance Performance Analysis. The sample in this study was 389 data of computer science graduate students. Based on the results of the research that has been done, it can be concluded that the graduation rate of computer science students of the Faculty of Computer Science and Information Technology, as follows; students who have graduated most have a GPA interval of 2.76 - 3.50 with male gender and take a study period of more than 6 years which has a support value of 0.321 and a confidence value of 0.628. Their perception of e-learning according to IPA coordinates community, collaboration, materials, social media, knowledge, synthesis, application, understanding, multimedia, evaluation, video, and news in quadrant II has a high level of importance with a relatively high level of performance and must be maintained.
QoS of network infrastructure in a wireless sensor system for real-time measurement pH parameter of fishery
Authors: Ghozali M I , Sugiharto W H , Susanto H , Budihardjo M A , Suryono S 
Published: June 2020

Abstract
The problem of mass fish mortality in Indonesia is already common and generally occurs. Environmental conditions determine the survival of fish. Acidity (pH) is one of the important things in determining the water quality of water. real-time information about pH water is important to avoid the danger of mass fish dies because of unhandled water pH. Network Infrastructure devices comprise those devices that facilitate the movement of data along with the communication media. the difference between the station distance and the wireless access point does not affect the change in the bitrate of each station QoS measurements based on data distribution delay. Shows that if the wireless sensor’s connectivity in sending data acquisition pH from the node station to the web service, Delay data transmission affects the accuracy of the measurement and presentation of data on the cloud server.
Development of a smart parking system based on internet of things using object-oriented analysis and design method
Authors: Maulana M F , Adhy S , Bahtiar N , Waspada I 
Published: June 2020

Abstract
Smart City is one of the Smart Initiatives that tries to provide solutions to parking problems that are found in big cities. The growth of the vehicle population is not matched by the growth of parking infrastructure, which raises various problems such as illegal parking, traffic jams, and driving safety. Thanks to the massive evolution of the Internet of Things, the Smart Parking idea became a breakthrough in solving the growing parking problem. In this paper, we explain the prototype development of the Smart Parking System using the Internet of Things which has three subsystems, namely embedded systems, as well as Android and web-based applications. Smart Parking System’s software was developed using the Object-Oriented Analysis and Design (OOAD) method and has been tested using black-box testing with 41 test cases that were successfully received.