bluuebunny/crossref_metadata_2025 huggingface dataset:
Characteristics of liquid organic fertilizer from different composition types of seaweed between Gracilaria sp. and Sargassum sp.
Authors: Tsaniya A R , Dewi E N , Anggo A D
Published: July 2021

Gracilaria sp. and Sargassum sp. contain growth hormones such as auxins, gibberellins, and cytokinins. A combination of them is expected to complement each other as raw material for organic fertilizers to improve soil structure and help plant growth. The purpose of this study is to determine the characteristics of organic fertilizer from different seaweed composition. Reduction the size of sample and soaking with 1% phosphoric acid solution to soften the seaweed. Homogenization and heating with the addition of molasses 3% as microbial nutrition and KOH 1% to maximalize mineral content. The fermentation process is carried out for 14 days as microbial exponential phase of Azospirilum sp as nitrogen fixation also phytohormones producer and Trichoderma sp. as an organic material decomposer. The results of ANOVA analysis and Tukey test showed that the treatment of raw material composition using different types of seaweed gives significantly different in C-Organic, nitrogen, potassium, phosphorus, pH, color, and aroma. The composition of Gracilaria sp. and Sargassum sp. give the highest value for C-Organic (1.15%) and Nitrogen (0.67), as well as phosphorus (0.45%), potassium (0.48%), and pH (4.48). Color and aroma are maturity indicators of organic fertilizers. This composition of liquid fertilizer has a pungent aroma and a dark brown color.
Does moringa oleifera leaf nanoparticles increase albumin levels in stunting toddlers?
Authors: Gustiya S D , Hadisaputro S , Sumarni S
Published: July 2021

Stunting is a delay in growth that in children under 5 years. The incidence of stunting around 22% in the world in 2017. Macro nutrients such as carbohydrates, proteins and fats affect growth in toddlers. The cause of decreased albumin levels in blood plasma occurs due to low protein intake and inadequate protein absorption. The aim of the study is to identify the effect of Moringa Oleifera leaf nanoparticles in albumin levels. This study was a quasi experimental with pretest and posttest control group design. Twenty toddlers in the treatment group was given Moringa Oleifera leaf nanoparticles with a dose of 65 mg/day and supplementary feeding. While twenthy stunting toddlers in the control group comsumed supplementary feeding only. The interventions was given for 21 days. The instrument used to measure albumin levels is Bromcresol Green (BCG). Data analysis used paired T Test and Mann Whitney. Most toddlers are female at the intervention group. On the other hand, more fale at control group. The intervention group was younger than in the control group (28 and 37 months, respectively). Moringa Oleifera leaf nanoparticles increased significantly albumin levels 0,278 g/dL (p=0,001). While in the control group albumin levels increased slightly 0,028 g/dL (p=0,150). Moringa Oleifera leaf nanoparticles proved to improve albumin levels greater than the control group in stunting toddlers.
Seed variation of Rubus spp. in Cibodas Botanical Garden
Authors: Surya M I , Destri D , Ismaini L
Published: July 2021

The genus Rubus has highly morphological diversity. We had examined the seed variation of Rubus spp. collected in Cibodas Botanical Garden. The observation was conducted on 12 different species of Cibodas Botanical Garden’s collections. The variation of seed’s size was observed based on length, width, and sculpture of seed’s surface area. The results showed that R. pyrifolius seed was larger among others species, and the smaller one was R. fraxinifolius. Moreover, based on seed morphology, three morphological types of seed coats were identified, which are seeds with prominent reticulate sculpture and sharp back ridge (R. accuminatissimus, R. alpestris, R. ellipticus, R. lineatus, R. niveus, R. pyrifolius, R. rosifolius); seeds with prominent reticulate sculpture and broad back ridge (R. alceifolius, R. moluccanus, R. glomeratus); seeds with least prominent sculpture and blunt back ridge (R. chrysophyllus and R. fraxinifolius).
Use of periodically hCG hormones injection for the gonadal development of java barb (Puntius javanicus) as bioreproduction applied on aquaculture
Authors: Nugroho R A , Yuniarti T , Basuki F , Hastuti S , Listiarini
Published: July 2021

Tawes fish or Java barb (PuntiusjavanicusBleeker, 1855) as the one of the endogenous species in Indonesia has specific reproductive roles that its cycle still depends on local environment. It makes limited frequency of spawning in nature that has been decreasing seeds production either domestication or cultivation. As a seasonal spawner, it needs long time for gonadal development. Gonadal development of endogenous species broodstock by hormone is needed to improve bio-reproductive capacity and it will cause faster gonadal maturity of Java Barb. One of exogenous hormones that could trigger gonadotropin hormone (GtH) is the human chorionic gonadotropin (hCG) hormone and it will accelerate the maturity level of the gonad by periodically injection. The aim of research is to determine the effect and the best dosage of hCG hormone for the gonadal development of Java barb. This study used an experimental method with a completely randomized design, with 4 treatments and 3 repetitions in 30 days observed. 48 broodstock with 200 gram average weight were used and induced by hCG. The doses of hCG are 0, 100, 200 and 300 IU/kg. The parameters observed include the level of gonad maturity, gonado somatic index (GSI) and hepatosomatic index (HSI). After statistical analysis, result showed that dose of 200 IU could improve the best development of gonad in Java barb base on 3rd maturity level achieved, gonado somatic index (10.11 ± 0.74%) and the hepatosomatic index at (1.99 ± 0.06%) respectively. The observation which used hCG hormone can improve gonadal development and one step closer to reproduce domesticated and cultived of Java Barb.
DNA isolation of clove and lemongrass using modification of the Doyle and Doyle methods and their relation with antioxidant activity
Authors: Listyanto H A , Muhammad I M , Erfianti T , Herida A P , Kusumaningrum H P , Loka B D , Setyowati E
Published: July 2021

Clove (Syzigium aromaticum) and lemongrass (Cymbopogon winterianus) are essential oil-producing plants that are widely available in Indonesia and have high economic value for medicinal and industrial needs because of their antioxidant activity. However, the information about the relationship between antioxidant activity and the DNA content in these plants was very limited. Especially because DNA isolation of aromatic plants is also not easy to do with methods that are widely used. Therefore, this study aims to isolate DNA from clove and lemongrass using a modified Doyle and Doyle method and to find the relationship between the quality and quantity of DNA with their antioxidant activity. The method used was the use of PVP, isopropanol and sodium acetate for the modification of the Doyle and Doyle method in DNA isolation followed by antioxidant analysis using DPPH. The results showed that the modification to the Doyle and Doyle method had obtained high concentrations of DNA. Besides that, the clove DNA content is higher than lemongrass which is supported by the antioxidant activity of both plants.
The performance of survival and immunity of catfish (Clarias gariepinus) juvenile infected by Aeromonas hydrophila after treated by prebiotic extract in the diet
Authors: Prayitno S B , Riyadi S , Sarjito  , Desrina
Published: July 2021

Herb/plant can act as a prebiotic. Red ginger has long known as an anti-inflamation and anti-oxidant. Similarly, moringa leaf is also known as herbal antibiotic. In the recent years, the use of natural ingredients to stimulate immune system and to combat fish disease in aquaculture becoming a favourable choice. The aims of this research was to observe the red ginger and moringa leaf extractin the diet to the performance of catfish infected by Aeromonas hydrophila. Experimental laboratory using a completely randomized design with 6 treatments and 3 replication used in this study. The treatments were mixture of (A) 500 ppm and 0 ppm, (B) 375 ppm and 150 ppm, (C) 250 ppm and 300 ppm, (D) 125 ppm and 450 ppm, (E) 0 ppm and 600 ppm, (F) 0 ppm and 0 ppm mixture of red ginger and moringa leaf extract respectively. One hundred and eighty catfish juvenile were reared in 18 aquarium. They were fed with various concentration of prebiotic mixture for 14 days. They were infected with 1 mL A. hydrophila at 1.2 105cell/cc intramuscularly and observed for 10 days for their survival and immune response. Results showed that addition of red ginger and moringa leaf extract significantly improve the immunity of catfish. The addition of moringa leaf extract at 600 ppm was significantly improved survival rate, phagocytosis activities, leucocyte, lymphocytes count compared to other prebiotic mixtures. Thus, the usage of 600 ppm moringa leaf extract in the diet provided the best performance to catfish.
Molecular genetics and epigenetics of temporomandibular disorder
Authors: Antolis M , Langit K S , Gultom F P , Auerkari E I
Published: July 2021

Temporomandibular joint (TMJ) has an important role in stomatognathic system. Its role during function is facilitated from rotation and translation movement. Any deviation from TMJ normal anatomy and movement could lead into either clicking, crepitus, or pain in preauricular area. These sign and symptoms, which are widely referred as TMJ Temporomandibular joint disorder (TMD), extremely common in world population. Several genes have been identified contribute in susceptibility towards TMD. Genetic polymorphism are a form of gene sequences variance that is found in more than 1% of world population. Epigenetics is an interaction between internal and external environments that leads to a change in chromatin structures that switches the gene expression on and off. There are several factors that posibly affect the genetic polymorphisms in TMD such as; serotonin, cathecolamine, estrogen, folate, human leukocyte antigen (HLA), extracellular matrix, transcription factors, transforming growth factor beta (TGFβ), epithelial growth factor, β-catenin, and discoidin. Epigenetic mechanisms such as DNA methylation, histone modification, and microRNA are found in chondrocyte of TMD patients. In a temporomandibular joint, miRNA-140 controls bone homeostasis especially on the articular remodeling. Genetic molecular and epigenetic study will benefit in diagnosis and treatment of TMD patient. The aim of this paper is author want to inform about molecular genetics and epigenetics of TMD.
Distribution of wingless type 3a (Wnt3a) Rs 752107 gene polymorphism on orofacial cleft patients
Authors: Simbolon U T H , Alima I R N , Kim K R , Yuniastuti M , Suhartono A W , Auerkari E I
Published: July 2021

Non-syndromic orofacial cleft, including cleft lip with or without cleft on palate (CB +/- CL NS) is the most common disorder resulting from craniofacial development disorder during pregnancy. These developmental abnormalities occur due to interference during the fusion stage or time and position disturbance of the processes and/or palatal shelves. The prevalence of orofacial cleft is around 1:500 - 1:2000 in the world. Wnt3a, which is the genes belonging to the Wnt gene family controls craniofacial development during pregnancy. It involves regulating the development of the middle face and upper lip fusion. Therefore this gene plays an important role as a cause in non-syndromic cleft lip/palate. The relationship of Wnt3a gene polymorphism to the orofacial cleft occurrence in Indonesia remains unclear. To examine the relationship of polymorphism of Wnt3a Rs 752107 genes in orofacial cleft patients in Indonesia. The study samples are raw material stored in the Oral Biology Laboratory of the Faculty of Dentistry, the University of Indonesia in the form of DNA from cleft lip patients. Study on the distribution of genetic variation of wnt3a rs 752107 in 30 samples of CB +/- CL NS patients and 170 control samples without orofacial cleft using Polymerase Chain Reaction (PCR-RFLP) examination with Alu1 enzyme. Significance of variation difference test using Chi-square test on SPSS 22. Frequency of CC were dominant in both samples (>90%). There was no significant difference between gene polymorphisms of wnt3a rs 752107 in orofacial cleft with control (p>0.05)
Genetics of ehlers-danlos syndrome
Authors: Rosita M , Alima I R N , Auerkari E I
Published: July 2021

Ehlers-Danlos Syndrome (EDS) is a genetic condition characterized characterized by join hypermobility, skin hyperextension, and tissue fragility that affects the connective tissue and collagen structures in the human body. The prevalence has been reported as in 1 in 5000 births and affects equally in both sexes. EDS has no racial proportions. There are several types of EDS, that are based on the 2017 International Ehlers-Danlos Syndrome Classification. Thin and fragile mucosa, bleeding tendency, periodontal tissue injuries, and also tongue ghorlin syndrome has been reported as the intraoral manifestations in EDS. Another manifestation is hypermobile temporomandibular joint with high incidence of subluxation and dislocation. The mechanism of Ehlers-Danlos Syndrome is connected to collagen biosyhntesis, originating with nucleus transcription to aggregate collagen heterotrimers into large fibrils. Mutations have been found in collagen-encoding genes for several of these forms, or in genes encoding collagen-modifying enzymes. One of the most common type of EDS is classical EDS which is having type V collagen deficiency. This is caused by mutation in type V collagen-encoding gene, COL5A1 dan COL5A2. Type V collagen is a regulatory collagen fibril that forms the basis of the fibrils in bony, cartilaginous, fibrous, and tubular structures. The majority of mutations have been reported are nonsense mutations; splice site mutations leading to exon skips, missense mutations causing glycine substitutions, and frameshift mutation. As a clinician, the knowledge about the etiology, clinical sign, oral manifestation, and the genetic aspect of this syndrome is crucial for making correct diagnoses and proper treatment planning. In this review, the author will explain further about the genetic aspects of Ehlers-Danlos Syndrome.
Antibacterial activity of a thermophilic actinobacterium Streptomyces cellulosae SL2-2-R-9 on different growth media
Authors: Sari D C A F , Ningsih F , Yabe S , Yokota A , Oetari A , Sjamsuridzal W
Published: July 2021

Thermophilic Actinobacteria are known as potential producers of novel antimicrobial compounds. However, the optimum growth medium for antibacterial activity assessment of thermophilic Actinobacteria has rarely been reported. This study demonstrated the effects of nine different microbial growth media on antibacterial activity assessment of a thermophilic actinobacterium from the soil in Cisolok geysers, Sukabumi, West Java (Indonesia). The strain SL2-2-R-9 was identified as Streptomyces cellulosae based on 16S rRNA gene data (100% similarity). The antibacterial activity was examined by the agar plug diffusion method against five bacterial test strains. The result of antibacterial activity screening showed that SL2-2-R-9 grown on ISP 7 agar and Bennett’s gellan gum inhibited the growth of Bacillus subtilis, Staphylococcus aureus, and Kocuria rhizophila. Strain grown on ISP 3 gellan gum inhibited the growth of B. subtilis andS. aureus, while on 301 agar and TSA, inhibited only K. rhizophila. Strain grown on ISP 6 agar and modified Bennett’s gellan gum, inhibited onlyS. aureus. Strain grown on ISP 3 agar and SFM agar showed no inhibition zone against all tested bacteria. There was no inhibition observed against Gram-negative bacteria when the strain was grown on all media.
Open Source network boot server for low-cost computer network learning
Authors: Aryotejo G , Mufadhol M
Published: July 2021

Universities in developing countries must have innovative ways of educating students to anticipate higher education costs. Computer network courses require server and client computers that are not cheap in terms of hardware and software. The most vulnerable computer hardware is the Hard Disk Drive (HDD), while the very expensive operating system license cost often forces universities to keep using outdated operating systems. This study aims to build open source network boot server by using PXE, DNSMASQ, TFTP, Casper and NFS. The PXE, DNSMASQ, TFTP, Casper and NFS will work together to become Open Source Network Boot Server (OSNBS). We conducted a simulation to measure the client boot speed from the network by using five clients and two versions of the uBuntu operating system image that have the capability of being a tool for computer networking courses. In addition, the processor server and hard disk server will be further monitored and analyzed. The simulation were carried out using virtualization on a desktop computer. We found that all clients successfully booted from the network. The latest uBuntu operating system image can efficiently improve the use of server resources for the processor and hard drive. In addition, the use of open source operating systems and existing hardware have also significantly reduced IT expenditure. This finding reinforces that OSNBS is suitable for low-cost computer network learning.
Emergency Service Search using Ant Colony Optimization Algorithm and AHP-TOPSIS Method
Authors: Ibrahim M R , Suseno J E , Surarso B
Published: July 2021

Ant Colony Optimization (ACO) algorithm has a good ability in route search, ACO’s ability to leave traces on routes that have been traced and find the nearest route to reach the destination location, but now the nearest distance search is not only about distance problems but many things must be considered, like travel time and others, especially in emergency conditions require the fastest route to provide help when an accident, disaster, etc. AHP-TOPSIS method is used to support the ACO in finding the best route based on the criteria. The purpose of this research is to implement the ACO algorithm supported with AHP-TOPSIS to find the quickest path on the search for emergency services. ACO supported with Google Maps will provide a route from the emergency service location to the user location, that the value will be put to TOPSIS as a value to increase the decision based on the ranking. AHP is used as the basis of the priority values of each attribute such as time, distance, health facilities, and the nearest ambulance. This value will be inserted into TOPSIS as a priority value. TOPSIS provides emergency services by condition and provides the fastest emergency service route recommendations
Decision support system to provide business feasibility analysis for batik entrepreneur in Lasem
Authors: Nindyasari R , Khotimah T , Ermawati N
Published: July 2021

Batik Industry of Indonesia is one of the creative economies that is currently being increased. Batik is one of Indonesia’s cultural heritage that has been recognized by UNESCO, and it is interested in all levels of society. Lasem is one of the producers of Batik in Indonesia, which has coastal characteristics named Batik Tulis Lasem. Batik entrepreneurs in Lasem have a passion for developing their businesses. The main problem is when the entrepreneur does not have an information platform that can provide knowledge about business feasibility analysis. The purpose of this research is to build a decision support system that will help decision makers when developing their business. Using AHP Method, the result of this research is the criteria as a factor that influences the determination of Batik Tulis Lasem production. It states that the marketing criteria for product results are the main priority used as a determining factor. Then, it is analyzed based on the actors who play a role in product development efforts, investors, downstream industries, and financial institutions are the top priority. And it is seen based on the results of the analysis of product development goals, the main priority is to maximize profits. It is viewed based on alternative Batik products, Fabric occupies top priority.
The level of acceptance of the child growth and development information system
Authors: Agushybana F , Sadida A , Ayuningtyas N R
Published: July 2021

Child Growth and Development Information System (Sistem Informasi Tumbuh Kembang Anak/ SITUKA) is intended to help mothers and health officers easily and completely monitor child growth and development. This study aims to evaluate the level of acceptance of the use of SITUKA. This research method uses a quantitative approach with a cross-sectional approach. The sample in this study was taken by non-probability sampling. Respondents in this study were data managers of the health department (4 people), data managers at the puskesmas (3 people), midwives at the puskesmas (3 people), and 30 mothers who had children under five. In this study, respondents were trained and then asked to provide opinions about the application of SITUKA. To assess the system usability, the PSSUQ (Post Study System Usability Questionnaire) questionnaire was used consisting of 19 questions, consisting of items of use (sysuse), items of quality of information (infoqual), items of quality of interface (interqual) and items of overall satisfaction (overall). SITUKA features include charts, Data Register menus, Child Services, Mother Services, Child Cohort Reports, Mother Cohort Reports, Cadre Data and Posyandu Data. The results of PSSUQ measurements have been carried out to produce the following scores, namely the sysuse aspect of 75.94%, 76.7% infoqual, 70% interqual, 77.50% overall. The SITUKA system acceptance assessment results can be categorized as “Eligible” for further development and use in implementing health programs.
Decision support system for handling intervention on toddlers stunting cases in Indonesia using the certainty factor method
Authors: Sutoyo I W , Widodo A P , Rochim A F
Published: July 2021

Stunting is a condition of failure to thrive in children under five caused by lack of nutritional intake for a long time and the occurrence of repeated infections. The causative factor is influenced by inadequate parenting, especially in the first 1,000 days of life. This study applies a decision support system with an expert system as an intervention for handling stunting by providing solutions using the Certainty Factor method. This expert system is implemented using the PHP programming language, and the use of expert systems will be easier when implemented into web-based applications. The test results are acceleration in reducing the number of stunting cases, thus providing the right percentage and solution in handling and increasing supervision of government efforts to combat stunting. Stunting intervention research can see the results of the percentage value of sensitive and specific interventions for pregnant women, nursing mothers, and adolescent girls. Testing uses black-box validation and accuracy. The validation results are in the form of 100%, which shows the system functionality can run well and according to the list of requirements. The accuracy result is 83% which shows that the expert system can function quite well according to the Certainty Factor method.
Design data collection tool and weighting classification of authors in their scholar outputs based on percent-contribution-indicated (PCI) method
Authors: Rochim A F , Nugraha T , Widodo A P , Eridani D , Martono K T
Published: July 2021

The advancement of information technology development makes it researchers easier to read papers shortly after they are published online. A paper will be cited, usually within one to two years after the paper is published. The number of citations of a researcher’s papers is currently an indicator of his/her scholarly impact. The measurement widely used is the H-index. The calculation of the impact of the researcher using the H-index method does not calculate the weighted classification of the author’s position on each paper. The main author or co-authors score have the same weighted citation weighted of an article cited. The weighting of the number of citations obtained by the author has begun to get attention by Scientometricians in recent years. This is done to differentiate the value of the impact obtained by the main author and co-author. Since 2015, the Government of Indonesia has awarded a number of awards to Indonesian researchers who have the greatest impact value. Assessment of the impact value of researchers in Indonesia uses the Sinta Index version 1 (SI-1) which is based on the researcher’s H-index value in Scopus, GS, and WoS. Problems arise when a researcher with most of his papers as a co-author gets an award, while another researcher who has a position as the main author does not get the award, even though the number of papers and the number of citations obtained are relatively similar. In 2020, we found that Sinta Index was upgraded, namely Sinta Index version 2 (SI-2). There are some differences between versions 1 and 2. This paper will propose a mechanism for calculating the impact of researchers using the weighting of the investigator’s position based on the percent-contribution-indicated (PCI) method. The data source used was the Scopus database. To get and classified the source data, we developed a tool using API. For the rank of the researcher, we used data from the Sinta Index website. Collection software design created using PHP and Mysql. From the research results, it was found that the correlation test by Pearson’s Method of the H-index values of APW and Scopus is 0,44; APW vs GS (0,39) and GS vs Scopus is 0.95. This means that APW method has a weak correlation with the H-index values of GS and Scopus. APW is independent of the two h-index calculations.
Heuristic evaluation and analytical network process for analyzing the role of websites in higher education
Authors: Yani F , Nurhayati O D , Widodo A P
Published: July 2021

It is currently thought that university websites play important roles in maintaining communication with stakeholders. The evidence shows that the usability aspect of the website positively correlates with governance support. This paper presents a new approach to identify, assess and evaluate usability aspect base on ten Heuristic Evaluation principles by implementing the ANP method. This method works by determining the weight of the best site criteria according to Webometric version ranking. The initial questionnaire was tested for validity and reliability using total item correlation analysis, the r-value was obtained in the range 0.706-0.919 (valid) and the reliability value in the range 0.861-0.939 (reliable). It was also found that by implementing expert judgment tests, some questionnaires are required more editorial adjustment. Interestingly, the layout of the websites hit the usability criteria. Another ten HE aspects run well while some light improvements were required for error prevention, recognition rather than recall, help users recognize, diagnose, and recover from errors aspects. The most remarkable result to emerge from the data was that visibility of system status, match between system and the real world, and consistency standards shown good result.
Convolution properties of bounded analytic function classes with higher and complex order defined by q- derivatives operator
Authors: Ali E E , El-Ashwah R M
Published: July 2021

We first present two classes

ζ

q

n

(
α
,
η
)

and

ℑ

q

n

(
α
,
η
)

of complex order bounded q − starlike and q − convex univalent functions using the salagean q − derivative operator

D

q

n

f
(
z
)

that is defined in

∇
=
{
z
∈
C
:

|

z

|

<
1
}

. In such classes, we also analyze the convolution properties, inclusion properties, and estimates of coefficients.
Commutative symmetric element in a ring with involution
Authors: Udjiani T , Suryoto
Published: July 2021

This paper explains that a symmetrical element on a ring having a Moore Penrose general inverse is commutative with a Generalized Moore Penrose inverse. This is due to the properties of the involution in the ring. By using these results and the main properties of Generalized Moore Penrose invers obtained directly from definition Generalized Moore Penrose invers, several theorems that discuss the necessary and sufficient of an element in a ring that has Generalized Moore Penrose invers and also symmetric had been found.
Stability analysis of a tuberculosis epidemic model with nonlinear incidence rate and treatment effects
Authors: Qomariyah N , Sutimin  , Herdiana R , Utomo R H S , Permatasari A H
Published: July 2021

We present a tuberculosis epidemic model with nonlinear incidence rates. The mathematical model consists of five variables that are susceptible, exposed, infectious, and recovered. Where infectious is divided into two categories, the first is latent infectious and the second categories is MDR (Resistant). The parameters on infectious describe the level of tuberculosis’s treatments are the treatment for the prevention of epidemic tuberculosis is by chemoprohylaxis for the the exposed individuals. Whereas treatment for infected individuals uses anti-tuberculosis drug theraphy with the directly observed treatment short course strategy(DOTS). The research method uses analytical (using the MAPLE) and numerical (using the MATLAB application) analysis. The steps in the analytical analysis include making a tuberculosis disease model, determining the point of equilibrium, and analyzing stability. Meanwhile, numerical analysis is used to explain the dynamic simulation of the spread of tuberculosis and the effectiveness of the treatment. The results of this research obtained are two equilibrium points (endemic and non-endemic) with a condition of conditional stability for each point. The stability will apply if the conditions proposed are met, namely local stability at a point of non-endemic equilibrium (ε
0) is stable if ℜ0 less than 1 and endemic equilibrium point (ε
*) will be stable if ℜ0 more than 1. From the results of analytic calculations and numerical simulations, by using Ruth-Hurwitz Method ℜ0 = 0.312 at the non-endemic point and Centre Manifold method on endemic point is ℜ0 = 0.312. So it can be concluded that the treatment on the first stage is more important to protect on TB spread.
Fuzzy time series based on frequency density-based partitioning and k-means clustering for forecasting exchange rate
Authors: Mukminin U S , Irawanto B , Surarso B , Farikhin
Published: July 2021

Fuzzy Time Series (FTS) has been growing rapidly in recent years. There are many models that were developed. In this paper, we propose a new method to forecast exchange rate data by combining some models. Firstly, we use the average-based interval to make optimal interval numbers. Secondly, we use frequency density-based partitioning for optimal partitioning. In this part, we divide the three highest frequency of intervals into four, three, and two sub-intervals, respectively, and discarding intervals if there is no data distributed. And thirdly, we use k-means clustering to construct the Fuzzy Logical Relationship Group (FLRG). We divide Fuzzy Logical Relationship (FLR) into 16 initial clusters. Then we evaluate model by calculating the error value using MSE (Mean Squared Error) and AFER (Average Forecasting Error Rates). The study case of this paper is daily exchange rate data (USD to IDR) started from January until May with its unstable fluctuation caused by Pandemic Covid-19. The study aims to obtain a forecasting model of exchange rate data as the preparation and evaluation for future conditions.
Local stability analysis for tuberculosis epidemic model with different infection stages and treatments
Authors: Lestari N A , Sutimin  , Khabibah S , Utomo R H S , Herdiana R , Permatasari A H
Published: July 2021

Tuberculosis has been an endemic disease leading to high level of mortality. A model of TB epidemic incorporating the asymptomatic and symptomatic infection stages of individuals are studied and introducing treatments for these stages. The local behavior of the model is analyzed using linearization for non endemic equilibrium and using bifurcation at R0 = 1 for endemic equilibrium. Non endemic state and endemic state are proven locally asymptotically stable. Numerical simulations show the effectiveness of treatment in asymptomatic and symptomatic infection stages can reduce the rate of spread of TB.
Modification frequency density with euclid distance classify for weather forecasting
Authors: Wulandari R , Surarso B , Irawanto B , Farikhin
Published: July 2021

Method of weather forecasting fuzzy time series has some drawbacks, weather forecasting needs many weather components, big data size and forecaster experience, one of which is very difficult if it is worn on large data whereas weather Forecasting using time series forecast has large data characteristics, high dimensions, and continuous also require many large components and amounts of data, this affects speed and accuracy in weather forecasts, but the science develops in tandem with the development of the fuzzy Forecasting method, the fuzzy forecasting method that can be worn on large data will facilitate the weather forecasting, in this paper will be explained methods of forecasting for large data that is using the Euclid distance to classify data, then using the frequency density partitioning modification method applied to the database that has been grouped. The data used was KW Hipel Al McLeod 1994 using year variables and temperature, data from 1782 to 1988, data covers 206 global average temperature data annually. The final solution of the weather forecasting fuzzy time series problem is to analyze the value of AFER and MSE, the value of this paper is AFER 0.0021 and MSE 0.0025, the smaller the AFER and MSE values indicate that the method is good enough to forecast the weather.
System dynamic modelling for sword and white pomfret fish resources at Depok coast, Bantul
Authors: Susiloningtyas D , Tasman H , Handayani T , Aulia A
Published: July 2021

Depok Coast in Bantul Regency popular for fishing activities. The potential for considerable marine resources in Depok Coast is a major factor in the progress of the fisheries business. The potential of these marine resources can provide a great opportunity for the development of capture fisheries and raise the economy of coastal communities. Sword and white pomfret fish are the main commodities in capture fisheries households in Depok Coast. However, if the occurrence of continuous arrests without further study is feared to cause the end of the sword and white pomfret fish resources in the future. This study aims to determine fisheries resources especially Sword and White Pomfret in Depok coast waters, with dynamic system models up to 2030. The method used in this research is the modeling of dynamic systems, where the sub-systems of the ecological, economic and associated social and serve as a model system dynamic of sword and white pomfret fish resources. Data for the ecological sub-system is an inventory of sword and white pomfret fish and the condition of the waters of Depok Coast. Furthermore, for the economic sub-system interviews were conducted by focus group discussion for the fishermen on Depok Coast and results in quantitative form. Data for the social sub-system is the number of fishermen and the population of Depok Village. The results of this modeling shows that overfishing can reduce sword and white pomfret fish resources if it is not compensated by fish preservation.
A convergence theorem on the dunford integral
Authors: Solikhin  , Aziz A , Sumanto YD , R Heri SU
Published: July 2021

This article discusses the convergence theorem of the Dunford integrals. We examine the sufficient conditions so that limit of the sequence of integral value whose Dunford integrable is same as limit of functions sequence. We have obtained that to guarantee a function to be Dunford integrable and its limit of functions sequence are same as value of the functions, then a sequence of Dunford integrable function is uniform convergent or weakly convergent, weakly monoton, and its limit exist. Furthermore, its weakly convergent and bounded.
Implementation of an optimal control for reducing individuals infected by hepatitis B virus
Authors: Aminatun Z , Widowati  , Solikhin
Published: July 2021

Hepatitis B is an inflammatory liver disease caused by hepatitis B virus, whose spread can be contagious and becomes a serious world health problem. The spread of hepatitis B can be modeled using the Susceptible, Infected, and Recovered (SIR) model. This paper aims is to reduce individuals infected with hepatitis B virus by applyingoptimal control strategies. The SIR model is given optimal control with three control variables, namely health promotion, treatment, and vaccination. Optimal control form is determined by the Pontryagin Maximum Principle (PMP) method to minimize the number of infected individuals and the associated costs. The step of PMP method i.e. Identify the Lagrange multipliers, and then minimizea Hamiltonian function, further obtaine stationary conditions, and finally find an optimal control. The results of numerical simulations completed by the Runge-Kutta Order 4 show effectiveness in minimizing infected individuals. In addition, it can also maximize individual recovery by giving the proposed three control variables.
The determinant of hours of work (the empirical case for Indonesian old–age)
Authors: Subanti S , Riani A L , Lestari E P , Hakim A R , Susiyanti S
Published: July 2021

The increase in the population of old - age or elderly had become an inevitable thing for both developed and developing countries, Indonesia is one of them. With increasing life expectancy, getting healthier, and the desire to stay active; this encourages old – age individuals to carry out economic activities, one of them by working. This activity is not only to fulfill basic needs but also not all individuals of old – age receive pension social security. This paper aims to examine the determinants of the hours of work for old – age or elderly individuals in Indonesia. The paper findings, for old – age individuals who are under 75 years old, the factors influence the hours of work are economic factors (such as wages and non-labor income), the head of household status, marital status, education, urban rural, and industrial origin. However, the old – age individuals who are above 75 years old, these factors have no real influence. Activities carried out by this elderly group, both economic and non-economic, are more about efforts to maintain their routines so that they still feel healthy, they can meet many people, they do not depend on others, and become independent individuals. The suggestion, the government needs to pay attention to working hours and determine the proper industrial origin for elderly who still want to work; they should encourage the care programs for the elderly who come from their families, this is more beneficial for the elderly because it is expected to minimize the risk of illness and death. Furthermore, for old – age individuals who previously worked in the informal sector, the government needs to improve retirement security.
Height wave modelling using spatial extreme value with max stable process (MSP) brown-resnick model
Authors: Hakim A R , Warsito B , Yasin H
Published: July 2021

Analysis of extreme data containing spatial elements can be used the Spatial Extreme Value method, which is applied with a max-stable process approach. The data preprocessing process begins by identifying the extreme data of each location for each time period or block. This method is also called Block maxima. The data obtained from the Block Maxima process will follow the Generalized Extreme Value (GEV) distribution. GEV has three forms of distribution, namely Gumbel, Frechet and Weibull. In this study, the data will be transformed into the frechet distribution margin because the frechet has a heavy tail shape, this is required in MSP modeling. Smith model, Schlater model, and Brown Resnik model are the three main models in MSP. Brown technical model is used in this research because Brown Resnick form is a flexible ta of stationary max stable processes in Gaussian random fields. The best model is selecting based on the smallest TIC value from all combinations of Trend surface models. The selected model is then used to determine the prediction of the extreme wave height for each location with a certain time period. The location used in this study is a point where fishermen are widely used to find fish, namely Semarang, Pekalongan, and Rembang which are in Central Java Province.
Measuring risk based on skewed t distribution approach
Authors: Sulistianingsih E , Rosadi D , Abdurakhman
Published: July 2021

This paper analyses a Skewed t Distribution approach to estimate Value at Risk (VaR) as a tool that can measure a risk investment. The method can estimate an investment risk that can overcome the shortcoming of classical VaR, which cannot capture the existence of fat tail and skewness. The application of the method was utilized to evaluate the individual risk of four stocks taken from the NYSE Index, namely Advance Micro Devices Inc (AMD), The Coca-Cola Company (KO), Pfizer Inc. (PFE), and Walmart Inc (WMT). It can be summarized from the result of the analysis that VaR (in several confidence levels) based on the distribution approach is powerful in risk measurement and can give an alternative to the investor for estimating the risk.
Numerical approach nonminimaly supported design for two parameters generalized exponential model and its efficiency
Authors: Widiharih T , Mustafid  , Sudarno  , Prahutama A
Published: July 2021

Nonminimally supported designs is a design that the number of supported design is greater than the number of parameters of the model. We construct nonminimally supported design with the number of the supported designs is the number of parameters plus one and it has uniform weight. We use two methods to construct nonminimally supported design, first we create the formula of determinant information matrix then miximized it, second by adding one supported design from minimally supported design. The formula to determine the supported design is a complicated nonlinear function, so we use numerically approach. Furthermore we conclude the best of nonminimally supported design based on the highest value of determinant information matrix. Efficiency of nonminimally supported design to minimally supported design is ratio of determinant information matrix nonminimally supported design and determinant information matrix minimally supported design.
Sentiment analysis of e-commerce application in Traveloka data review on Google Play site using Naïve Bayes classifier and association method
Authors: Oktaviani V , Warsito B , Yasin H , Santoso R , Suparti
Published: July 2021

E-commerce is a business operation model which rapidly growing today. Many business actors and the customer take advantage of E-commerce itself. Thus, it influences people’s socially and economically. Traveloka is one of the best e-commerce applications that is often visited in Indonesia. Each application allows users to post an application review. The review aims to evaluate and improve the quality of the future product. For that purpose, analysis sentiment can be used to classify the review into positive or negative sentiment. Sentiment analysis can provide information that can be extracted. From the observed data, it can provide useful information for those who need it. Some sentiment analysis stages contain sentiment data collection, data preprocessing, term weighting using TF-IDF, sentiment labeling using sentiment scoring, review data classification using the Naïve Bayes Classifier method, and text association. The model was evaluated using 10 Fold Cross-Validation. Measurements were made with the Confusion Matrix. The results obtained from the reviews given by Traveloka users on Google Play using the Multinomial Naïve Bayes was obtained overall accuracy in 91.20% and kappa accuracy in 59,56 %. The higher overall accuracy value and kappa accuracy obtained, the better performance of the classification model.
Analysis of bayesian method in queuing system customer service locket Semarang Tawang railway station
Authors: Sugito  , Mustafid  , Prahutama A , Warsito B , Salsabela A A
Published: July 2021

Jamming is one of the serious problems in Indonesia caused by the increase of vehicles. The government has been made solution for this situation for example was public transportation. The train is one of the suitable public transportation because of the ticket price was cheap. Tawang Railway Station Semarang was the biggest railway station in Semarang. In the specific day such long holiday or celebration day, many people have chosen train to take them. This make a queuing situation on the counter of station especially on customer service locket which provide information about the station and more. Queue theory models provide the random of arrival and service time. The Bayesian theory suits to handle the problem of queuing that has been working for several times to repair the prior information with new information of sample and also can make a combination of the distribution after assumption steady state. Based on the analysis of the queue models for customer service are (G/G/c):(GD/∞/∞) from the posterior distribution with combination from prior distribution and likelihood sample. The prior distribution used in this research is Poisson. The likelihood sample used Uniform Discrete and Negative Binomial distribution. The posterior distribution is a combination of Uniform Discrete and Beta distribution. Queue models can be used to count the size of the system performance. Based on the calculations and analysis with RGui, it can be concluded that the queuing system of customer service locket have been good because its steady state and busy probability is higher than jobless probability.
Application of Clayton Copula to identify dependency structure of Covid-19 outbreak and average temperature in Jakarta Indonesia
Authors: Novianti P , Kartiko S H , Rosadi D
Published: July 2021

Today Indonesia is experiencing health problems that are also being faced by all countries in the world, namely Covid-19. Jakarta, the capital of the state of Indonesia, is one of the provinces that has been the epicenter of the Covid-19 cases. Aim of study is to determine dependency between Covid-19 and maximum temperature in Jakarta, Indonesia. Data of Covid-19 cases used are daily cumulative cases, new cases, and deaths. The correlations used are Pearson, Spearman, and Kendall. The correlation coefficient only provides information on the measure of the two variable relationship and does not show the structure of dependency between these variables. One of the methods used to see the dependency structure between variables is copula. One of the copula that is widely used is the clayton copula because of its flexible characteristics. Meanwhile, to see the dependency structure between variables will be used the Copula method from Clayton Copula. The results show that maximum temperature is significantly associated with the Covid-19 pandemic. Based on clayton copula model, the small parameters indicate small dependencies between Covid-19 and maximum temperature.