bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface morphology of composite from mahogany leaves waste with citronella oil (Cymbopogon winterianus Jowitt) as a natural coating for antifungal of Pleurotus ostreatus
Authors: Masturi  , Alighiri D , Drastisianti A , Susilawati  , Fathurachman Y , Maesaroh S , Sunarno  
Published: June 2021

AbstractIn this work, citronella oil’s activity as a natural coating for antifungal on mahogany’s surface morphology(Swietenia mahagoni)leaves waste as composite was investigated. The composite material from mahogany leaves requires a coating that can inhibit fungi growth. Citronella oil was a natural material that can be used as an antifungal for coating this composite. The concentration of citronella oil used for the MIC (Minimum Inhibitory Concentration) assay was 0.1-2.0%. Based on the MIC of citronella oil can inhibit the growth of the fungusPleurotus ostreatusat the optimum concentration of 0.2% with inhibition of 33.33%. Coating of citronella oil on composites using several concentrations ranging from 0.0, 0.4, 0.8, 1.2, 1.6 and 2%, respectively. The surface morphology on composite with citronella oil as the natural coating was observed using a CCD camera microscope with a magnification of 50x showed that the growth of fungal spores on the composite surface began to be inhibited a concentration of 0.4%. This surface morphology of composite can prove that citronella oil can be used as an antifungal.
Colorimetric detection of metal ions using green-synthesized silver nanoparticles
Authors: Taufiq M , Eden W T , Sumarni W , Alauhdin M 
Published: June 2021

AbstractGenerally, the analysis of metal ions uses expensive and tedious techniques and involving complicated devices. Here, we developed a colorimetric-based detection of metal ions using green-synthesized of PVA-stabilised silver nanoparticles (AgNPs), which is simple and low cost. The linearity and sensitivity of AgNPs in detecting metal ions were determined from the absorbance and shifting of local surface plasmon resonance (LSPR) band in the visible range. The detection was carried out on Cu(II), Pb(II), Cd(II), Zn(II), and Mn(II). The most sensitive response was obtained on Cu(II) ions, among the five ions tested. The response showed a good linearity (R2= 0.9886) in the range of 0.2-1.4 ppm of Cu(II). Meanwhile, the sensitivity on Cu(II) resulted in the limit of detection and the limit of quantitation of 0.1609 mg.L−1and 0.5179 mg.L−1, respectively.
Cytotoxic effects of the synthesized Citrus aurantium peels extract nanoparticles against MDA-MB-231 breast cancer cells
Authors: Amalina N D , Wahyuni S , Harjito  
Published: June 2021

Abstract
Currently, nanoparticle is at fastest pace due to the enhanced implication in drug delivery system. The synthesis of chitosan nanoparticles through ionic gelation methods is becoming increasingly relevant due to the low cost involved and environment-friendly approach. In this study, cytotoxic effect of chitosan-Citrus aurantium peels extract nanoparticles (NPs-CA) against MDA-MB-231 breast cancer cells was investigated. The initial confirmations of NPs-CA were using Particles size analysis (PSA), which showed the size of NPs-CA. The Zeta potential was measured to check the stability of NPs-CA. The cytotoxic effect was carried out in MDA-MB-231 breast cancer cells under MTT assay. Based on PSA analysis, the size of F1 and F2 were ranging between 372 – 4472 nm and 94 – 373 nm, respectively. The zeta potential mean value of F2 NPs-CA 34,9 mV, it can be concluded that the particles show less chances for agglomeration. On the various test concentration, the F2 NPs-CA performed better cytotoxic effects than Citrus aurantium peels extract with IC50 value of 83 μg/mL and 320 μg/mL, respectively. These findings pose a positive impact to expand further studies in the development of nanoparticle to cancer therapy.
Isotherm adsorption of free fatty acid in waste cooking oil used activated carbon of banana peel as bio-adsorbent
Authors: Rengga W D P , Seubsai A , Roddecha S , Yudistira A , Wiharto A D 
Published: June 2021

Abstract
The reduction of free fatty acids from the remaining cooking oil was successfully adsorbed by activated carbon from the banana peel biomass. The difference in activation temperature in making activated carbon causes it to adsorb free fatty acids, different from frying frozen fries in palm oil. The method used is adsorption with a batch system. The adsorbent used was biocarbon from banana peels, activated at 600, 650, and 700°C for 1 hour. Powdered activated carbon products were used in the adsorption process with a pass size of 200 mesh. Isotherm modeling with 1% activated carbon content in used cooking oil was carried out to determine the equilibrium constant in the Temkin, Langmuir, Freundlich, and Dubinin Radushkevich models. The suitability for adsorption of free fatty acids, which tends to approximate the Freundlich model. Adsorption of free fatty acids with activated carbon at 700°C effectively follows the Freundlich Isotherm Adsorption Model (R2 = 0.97) with physical adsorption energy, and the maximum capacity is 27.404 mg/g as seen from other isotherm models.
Esterification of α-pinene using TCA/Zeolite Y catalyst
Authors: Wijayati N , Isnaini F N , Kusumastuti E , Rakainsa S K , Mahatmanti F W , Lusiana R A 
Published: June 2021

Abstract
Indonesian turpentine oil contains α-pinene (70-90%), β-pinene (5-10%), and 3-carene (4-10%). This study aims to determine the effect of temperature, time, and mass of the catalyst on the α-pinene esterification. The esterification was carried out at 25, 40 and 50°C for 1, 2, 3, and 4 hours with variations in the catalyst mass of 100, 300 and 500 mg. This reaction was carried out in a three neck round bottom flask equipped with a heater, thermometer and magnetic stirrer. The ester produced in the α-pinene transformation through the esterification is carvyl acetate. The optimum results were obtained at temperature of 40°C and the addition of catalyst of 500 mg with α-pinene conversion of 67.81% and selectivity of carvyl acetate at 81.92% for 1 h.
Microwave irradiation assisted methoxylation of α-pinene using potassium alum [KAl(SO4)2] catalyst
Authors: Wijayati N , Mahatmanti F W , Rakainsa S K , Herlinawati M D , Lusiana R A 
Published: June 2021

Abstract
Methoxylation is a reaction to produce of ether compounds using methoxy ions. The α-pinene methoxylation using potassium alum catalyst was carried out using a microwave with power variations of 320, 480 and 640 W, mass of the catalyst 0.3; 0.6 and 0; 9 g, and mole ratio of reactants 1:15, 1:30 and 1:45 mole. Identification of the reaction results was performed using GC, GC-MS and FT-IR. The product obtained in α-pinene methoxylation is mirtenyl methyl ether (MME) and terpinyl methyl ether (TME). The conversion of α-pinene with the variation of 480 W microwave power, mass of catalyst 0.3 g and mole ratio of reactants 1:15 at 120 seconds was 99.82% with the selectivity of MME and TME were obtained 32.0 % and 1.4%, respectively.
The synthesis results comparison of spirooxindole derivatives using TiO2 and TiO2/SiO2 catalyst
Authors: Amanda M H , Cahyana A H , Abdullah I 
Published: June 2021

Abstract
Derivatives of Spirooxindole compounds with the peculiarities of a heterocylic ring-shaped framework, therefore these compounds have biological activities that play an important role in the pharmaceutical field. The synthesis of spirooxindole derivates was successfully carried out with the Multicomponent reaction that plays a role in it is the Knovenagel condensation reaction and followed by Michael’s addition reaction. The derivative reaction of spirooxindole compounds is more effective and efficient in synthesis time because the reaction uses a heterogeneous catalyst of TiO2/SiO2 nanoparticles. In this research we will compare using TiO2 and nano TiO2/SiO2 as catalyst. This study produced a spirooxindole compound derivative using precursors such as, isatin, malononitrile and 1,3-diketone groups varied with baribituric acid. The results of the reaction optimization obtained that reaction time of 60 minutes, at temperature of 50 ° C, and a catalyst load of 12.5%. The yield percentage obtained under optimum conditions was found 82,72% in TiO2 catalyst and then 86, 81% in TiO2/SiO2 catalyst. The yield was obtained after the compound was recrystallized using hot ethanol. The characterization of TiO2 and TiO2/SiO2 catalysts was confirmed using FT-IR, XRD, and SEM-EDX. While the characterization of the spirooxindole compound derivate products was confirmed by TLC, FT-IR, and UV-Vis.
Study on the quality of irrigation water in the talawaan irrigation channel using the Sodium Adsorption Ratio (SAR) Method
Authors: Wantasen S , Luntungan J N , Tarore A E , Lumingkewas A , Ogie T B 
Published: June 2021

Abstract
The suitability of water for irrigation purpose can be determined using the Sodium Adsorption Ratio (SAR) method. The method describes the extent of sodium will be absorbed into the soil. This study aims to assess the water quality of the Talawaan river as a source of irrigation water using the Sodium Adsorption Ratio (SAR) method. The measurement was carried out by field observation at the tertiary channel and laboratory analysis of water samples obtained from the channel. The concentration of Na+, Ca2+, Mg2+ were calculating using the SAR. Sampling of Water quality parameters was determined using the Composite Sampling, then analyzed with the UV-Spectrophometry The data referring to the standard values from Ayers and westcott. The results showed that the Sodium Adsorption Ratio (SAR) at the Talawaan irrigation varied from 1.33 meq/l to 1.55 meq/l. These results meets the requirements of the Ayers and Westcott standard standard, which stated that SAR at less than 3 meq/L is good quality standard (table 2). SAR value affects soil conditions, especially related to soil structure and soil permeability and infiltration.
Vapor-solid mixer design for cinnamal tea production
Authors: Cahyono E , Kurniawan C , Anggraito U 
Published: June 2021

AbstractThe utilization of natural products that potentially act as anti-cancer has been widely investigated. Our previous study in 2019 on microencapsulation of several essential oils, including citral with aldehyde moiety and citronellal from lemongrass, and cinnamaldehyde from cinnamon, has proved remarkably successful to prevent cancer risk (chemo-prevention). The study is then extended to produce tea-based products with citral and cinnamaldehyde oil additives as cancer risk prevention drink drinks. The study will aim to optimizing the mixer parameters to overcome the volatility rate of essential oil. The research was designed with the Analysis, Defining, Development, Implementation and Evaluation (ADDIE) model. It was conducted to make sure that all the machine parameters work efficiently. The developed machine is equipped with a heater tank and mixer. The heater tank and mixer capacities are 2.2 L and 4.0 L, respectively. The maximum pressure tank is up to 4.0 bar, and the recommended pressure works are 2.0 bar. The heating temperature maximum is 170 °C, and it will also keep the essential oil stability. The vapor-solid mixed gently at 20 rpm to produce a well-mixed product. Power consumption up to 1500 watts at 220 V (50 Hz). However, the product at the mixing time of 60 seconds with the gas flow 2 bar was perfectly obtained.
Secondary metabolite learning model from Taxus sumatrana with ethnoscience integrated inquiry using online system and google form application
Authors: Sudarmin  , Mursiti S , Sarwi S , Listiaji P 
Published: June 2021

AbstractDuring the current Covid-19 pandemic, learning was carried out using an online system, so many training activities, seminars, and lectures were carried out online. In this research, a secondary metabolite learning model fromTaxus sumatranawill be applied with Ethnoscience Integrated Inquiry. Learning activities are carried out online via video conference. Furthermore, to evaluate the learning process and results, the google form application is used. This research is institutional research from an Ethno-STEM based Learning Center. Lessons are conducted online for two hours and during the webinar activity. Learning consists of presenting material, question-answer, and the evaluating of the training process and results using the google form application. The learning activities were attended by 128 participants from 69 universities, 14 schools, and 4 non-educational institutions. The evaluation results of the evaluation show that the implementation of the secondary metabolite learning model fromTaxus sumatranais very satisfying, engaging, creates curiosity, and motivates to understand STEM literacy and local culture. Besides, an evaluation of the material mastery shows a moderate average score of 12.53 from a maximum score of 20.00.
Automatic geotagging using GPS EXIF metadata of smartphone digital photos in tree planting location mapping
Authors: Prasetiyo B , Alamsyah  , Muslim M A , Subhan  , Baroroh N 
Published: June 2021

Abstract
Tree planting is one of the programs that are currently being promoted. The location of tree planting is important to be monitored in the future. Tree planting activities carried out on the UNNES campus always carry out online documentation and reporting. However, the problem is the difficulty in obtaining the coordinates of the location of the plants because what is currently done is clicking on maps manually. In this research, we designed automated geotagging tree planting photos. Digital photos from smartphones are read, then extracted EXIF information to get GPS coordinates. Then the coordinates are obtained automatically, then stored in the database. The coordinates can be reversed to display on maps. In our experiment, we study in two cases. Case 1 the original photo near the building, Case 2 the photo near the forest. We can show that the result of mapping represents the actual state of the photo. So, the use of GPS information on photo smartphones can be an alternative solution in terms of documenting planting photos to get an accurate location.
Evaluation performance recall and F2 score of credit card fraud detection unbalanced dataset using SMOTE oversampling technique
Authors: Prasetiyo B , Alamsyah  , Muslim M A , Baroroh N 
Published: June 2021

Abstract
Unbalanced data becomes an interesting research and continues to be studied because of its uniqueness. Unbalanced data requires special treatment prior to making the data balance. In this paper, our study to investigate the performance of unbalanced dataset using diverse oversampling proportion. We use SMOTE to gerentae new syntethic data, then we classify using random forest algorithm. In our experiment we generate new sampling with start 20%, 40%, 60%, 80%, and 100% of majority class, so that the data balancing until 50%: 50%. Each new generated data, we train the data using classification technique. Then, evaluate each algorithm performance. We show that the highest F2 score i.e: 85.34 and 84.93. The new data generated is 60% of majority class, result F2 score 85.34, then the new data generated from 100% of majority class result F2 score 84.93.
Web-based expert system to determine digital forensics tool using rule-based reasoning approach
Authors: Ramadhani E , Pratama H R , Wahyuni E G 
Published: June 2021

Abstract
Digital forensics is a method to trace the digital evidence using knowledge of science. There are several stages in the method of digital forensics. Each stage has their own way to use the method collaborate with the tool of digital forensics. Nowadays, there are tools that we can use in digital forensics. Therefore, not all the tool coming with the help document on how to use the tool. This situation makes the investigator have to check the feature of the tool one by one in order to suit which one is the best tool to use in some stage. To overcome this problem, we made a system to determine the right tool in digital forensics using rule-based reasoning approach. The result of this paper is web-based system to determine the right tool in digital forensics. The system shows that only 40% in suitability to help the investigator to determine the right tool. This cause by lacking of the rule consists in the reasoning approach.
Autocorrelation analysis of COVID-19 based on hijri calendar
Authors: Darmawan G , Rosadi D , Ruchjana BN , Hermansah  
Published: June 2021

Abstract
Indonesia is a country with a majority of Muslims. The Covid-19 outbreak to Indonesia concerns moments during Islamic holidays. There are many Islamic holidays from March to July, such as Ramadhan, Shawwal, and Eid al-Adha. This study aimed to investigate the relationship between after and before Covid-19 case (lag 1). This study also discussed the relationship among three cases per month for both calendars (Islamic and Gregorian calendar). Auto conversion data from daily to monthly of Hijri and Gregorian was compared by determining the autocorrelation on three cases (confirmed, recovered, and death cases) in both calendars. The auto-correlation test using the Islamic month had 0.747 confirmed cases, 0.711 recovered cases, and 0.461 death reported cases. In the meantime, auto-correlation test using Gregorian month had 0.013 confirmed cases, 0.085 recovered cases, and -0.203 death cases. We also calculated the monthly autocorrelation of Covid19 cases from March to August 2020; the result showed that autocorrelation values were high for both calendars. However, the value of autocorrelation from March to August, Gregorian calendar is higher than Hijri calendar.
Inventory control and distribution of medicine stocks by using a just in time method based on interactive web applications
Authors: Efrilianda D A , Umam K , Aulia A F 
Published: June 2021

Abstract
Management of an inventory data within an agency requires an interactive management system to provide ease and informative data presentation. Data processing using an interactive system makes it easy for users to understand and interact with data, especially if the agency concerned is an agency that is in charge of long-term data storage, complex data processing, data collection and data distribution processes, controlling inventory availability, and data collection conducted every day. Data storage and conventional data processing has several weaknesses such as high error rate in data processing, the system is not interactive so that it troubles and impedes the inventory data collection process by users, and can produce data ambiguity that can cause misinformation. By using the inventory control model Just-In-Time (JIT) Inventory method that allows the compilation of data collection and inventory stock requests as needed so that it can easily distribute and minimize wasted stock, the processing, storage, and data collection of a particular data inventory can be controlled well and can provide clearer information. As a result, implementing inventory control methods into a web application can provide web applications that have better functionality in processing, storing, and collecting data.
User requirement and prototype design of radio streaming using mind map model for “Forum Diskusi Radio Ponorogo” association
Authors: Asy’ari N A S , Muriyatmoko D 
Published: June 2021

Abstract
Forum Diskusi Radio Ponorogo (FDRP) is an association with consist of four radio station. Namely is Duta Nusantara FM, Suara Gontor FM, Romansa FM, and Songgolangit FM. Nowadays, FDRP as a terrestrial radio has some problem, and the first problem is to broadcast signal because the area is limited covered. The second problem is the listener are turning from traditional broadcasting to smartphone radio streaming, either using mobile apps or a website. To sustain this radio industry, they must switch to streaming radio via internet. This research aims to explore the need for building the radio streaming to expand the reach of radio broadcast and to design radio streaming media as a collaborative convergence movement. This study uses a mind map model by conducting observations, interviews and discussions to identify initial user needs and prototype techniques to determine the needs of streaming radio applications. This research produces a list of collaboration needs in maintaining the existence of the radio industry in Ponorogo and a prototype design of streaming media for a collaborative radio. For further research, it is hoped can be continued at the stage of making media and implementing streaming radio.
GIS-based spatial autocorrelation analysis and use of aerial photos metrics for land price per plot: a case study of Tembalang sub-district
Authors: Subiyanto S , Amarrohman F J , Giardi NDU 
Published: June 2021

Abstract
Tembalang sub-district is included in the suburban area of Semarang which is growing very rapidly in the housing market growth sector. Research on housing policies and existing land market value mechanisms was carried out by empirical analysis using traditional econometric models with multiple regression analysis and GIS-based spatial autocorrelation models. This research was conducted by modeling land prices based on land parcels from the interpolation of land price samples from the field survey results as well as analyzing the level of data closeness to the Tax Object Selling Value (NJOP). Land parcel data was created using the 2018 metric aerial photograph (10 cm spatial resolution). The dependent variable in the regression analysis model used data on the average value of land prices for each zone in 2018. The variables used in the first modeling, namely the geographic location, transportation accessibility, trade center and service intensity were used as independent variables. The apply Radial Basis Function (RBF), spatial autocorrelation model, in integration and comparative analysis of models with a focus on the analysis of factors affecting land prices, especially heterogeneity of spatial characters.
Design and development of a web GIS for management and performance evaluation of agricultural farms of sahar food industries company (SFIC)
Authors: Oliazadeh S , Khoram M R , Abbasi M 
Published: June 2021

Abstract
The web has changed everything, and GIS is no exception. Web GIS, as a combination of web and Geospatial information system or science (GIS) has become an evolving discipline. Web GIS provides all GIS functions, including easy access to spatial information, display, storage, editing, management, manipulation, analysis, and sharing of spatial information anywhere in the world at a relatively low cost and easily for end users. Has accepted. In this article, we will discuss the key technology of digital spatial information management system (Web GIS) of digital farms, then we will introduce SFIC. Finally, we design and develop a Web GIS as a management system with the aim of providing a suitable platform for the realization of visual management performance and also evaluating the performance of agricultural farms. This management and monitoring system helps decision makers and professionals to easily make appropriate decisions to increase crop production, management, updating spatial and descriptive farm information, and other related activities. Sahar Web GIS Agricultural Farm Management Spatial Information System helps ordinary and non-expert users to easily access information and improves the necessary measures for making decisions in this field.