bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH TRANSFORMASI DATA PADA METODE LEARNING VECTOR QUANTIZATION TERHADAP AKURASI KLASIFIKASI DIAGNOSIS PENYAKIT JANTUNG
Authors: Aziz Arafa Rahman , Warsito Budi , Prahutama Alan
Published: May 2021

Learning Vector Quantization (LVQ) is a type of Artificial Neural Network with a supervised learning process based on competitive learning. Despite the absence of assumptions in LVQ is an advantage, it can be a problem when the predictor variables have big different ranges.This problems can be overcome by equalizing the range of all variables by data transformation so that all variables have relatively same effect. Heart Disease UCI dataset which used in this study is transformed by several transformation methods, such as minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax. The result show that the six transformed data can provide better LVQ classification accuracy than the raw data which has 75.99% for training performance accuracy. LVQ classification accuracy with data transformation of minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax are 89.16%, 88.22%, 89.7%, 90.1%, 88.17% and 92.18%. Based on the One-way ANOVA test and DMRT post hoc test  known that there are significant differences between the results of the classification with data transformations and raw data in 0,05 significant level of α. It is also known that the best data transformation methods are softmax for training and sigmoid for testing. Keywords: heart disease, neural network, learning vector quantization, classification, data transformation
PEMODELAN ANGKA HARAPAN HIDUP PROVINSI JAWA TENGAH MENGGUNAKAN ROBUST SPATIAL DURBIN MODEL
Authors: Mukrom Maghfiroh Hadadiah , Yasin Hasbi , Hakim Arief Rachman
Published: May 2021

Spatial regression is a model used to determine relationship between response variables and predictor variables that gets spatial influence. If there are spatial influences on both variables, the model that will be formed is Spatial Durbin Model. One reason for the inaccuracy of the spatial regression model in predicting is the existence of outlier observations. Removing outliers in spatial analysis can change the composition of spatial effects on data. One way to overcome of outliers in the spatial regression model is by using robust spatial regression. The application of M-estimator is carried out in estimating the spatial regression parameter coefficients that are robust against outliers. The aim of this research is obtaining model of number of life expectancy in Central Java Province in 2017 that contain outliers. The results by applying M-estimator to estimating robust spatial durbin model regression parameters can accommodate the existence of outliers in the spatial regression model. This is indicated by the change in the estimating coefficient value of the robust spatial durbin model regression parameter which can increase adjusted R2 value becomes 93,69% and decrease MSE value becomes 0,12551.Keywords: Outliers, M-estimator, Spatial Durbin Model, Number of Life Expectancy.
PERBANDINGAN METODE OPTIMASI UNTUK PENGELOMPOKAN PROVINSI BERDASARKAN SEKTOR PERIKANAN DI INDONESIA (Studi Kasus Dinas Kelautan dan Perikanan Indonesia)
Authors: Sulistiyawan Edy , Hapsery Alfisyahrina , Arifahanum Lucky Junita Ayu
Published: May 2021

The fisheries sector has an important role in supporting the food security chain, where the world's protein needs can be met by fisheries resources, both from capture fisheries and aquaculture. There are several fisheries sectors including fishing companies, capture fisheries production, number of ships, types and size of cultivated land. Therefore a statistical analysis is needed to increase the potential of fisheries in Indonesia. Data on the fisheries sector used in this study from the Indonesian Central Statistics Agency in 2018, which included the 2016 fisheries sector with 34 observation units in Indonesia. By using cluster analysis K-Means aims to group provinces in Indonesia based on the fisheries sector so that several groups are formed which will show the characteristics of each group. There are three determinations of the optimum number of clusters, namely the Elbow method, Silhouette method, and GAP Statistics. The results showed that optimum clusters were formed in 2 clusters, with the best Elbow and Silhouette methods. Where the first cluster is a region that shows a low value of the fisheries sector consisting of 30 provinces this is due to inadequate infrastructure and use that is not optimal while cluster 2 regions that have great potential in the Indonesian fisheries sector in 2016 as many as 4 provinces namely West Java, Java Central, East Java, and South Sulawesi as dominating capture fisheries production and aquaculture. Keywords: Fisheries Sector, K-Means Cluster Analysis, Elbow Method, Silhoutte Method and GAP Statistics.
PEMODELAN TRANSFORMASI FAST-FOURIER PADA VALUASI OBLIGASI KORPORASI (Studi Kasus: PT. Bank Danamon Tbk, PT. Bank CIMB Niaga Tbk, dan PT. Bank UOB Indonesia Tbk)
Authors: Chairunnnisa Ubudia Hiliaily , Hoyyi Abdul , Yasin Hasbi
Published: May 2021

The basic assumption that is often used in bond valuations is the assumption on the Black-Scholes model. The practical assumption of the Black-Scholes model is the return of assets with normal distribution, but in reality there are many conditions where the return of assets of a company is not normally distributed and causing improperly developed bond valuation modeling. The Fast-Fourier Transform model (FFT) was developed as a solution to this problem. The Fast-Fourier Transformation Model is a Fourier transformation technique with high accuracy and is more effective because it uses characteristic functions. In this research, a modeling will be carried out to calculate bond valuations designed to take advantage of the computational power of the FFT. The characteristic function used is the Variance Gamma, which has the advantage of being able to capture data return behavior that is not normally distributed. The data used in this study are Sustainable Bonds I of Bank Danamon Phase I Year  2019 Series B, Sustainable Bonds II of Bank CIMB Niaga II Phase IV Year 2018 Series C, Sustainable Subordinated Bonds II of Bank UOB Indonesia Phase II 2019. The results obtained are FFT model using the Variance Gamma characteristic function gives more precise results for the return of assets with not normal distribution.  Keywords: Bonds, Bond Valuation, Black-Scholes, Fast-Fourier Transform, Variance Gamma
PENERAPAN METODE PENGENDALIAN KUALITAS MEWMA BERDASARKAN ARL DENGAN PENDEKATAN RANTAI MARKOV (Studi Kasus: Batik Semarang 16, Meteseh)
Authors: Andini Enggartya , Sudarno Sudarno , Rahmawati Rita
Published: May 2021

An industrial company requires quality control to maintain quality consistency from the production results so that it is able to compete with other companies in the world market. In the industrial sector, most processes are influenced by more than one quality characteristic. One tool that can be used to control more than one quality characteristic is the Multivariate Exponentially Weighted Moving Average (MEWMA) control chart. The graph is used to determine whether the process has been controlled or not, if the process is not yet controlled, the next analysis that can be used is to use the Average Run Length (ARL) with the Markov Chain approach. The markov chain is the chance of today's event is only influenced by yesterday's incident, in this case the chance of the incident in question is the incident in getting a sampel of data on the production process of batik cloth to get a product that is in accordance with the company standards. ARL is the average number of sample points drawn before a point indicates an uncontrollable state. In this study, 60 sample data were used which consisted of three quality characteristics, namely the length of the cloth, the width of the cloth, and the time of the fabric for the production of written batik in Batik Semarang 16 Meteseh. Based on the results and discussion that has been done, the MEWMA controller chart uses the λ weighting which is determined using trial and error. MEWMA control chart can not be said to be stable and controlled with λ = 0.6, after calculating, the value is obtained Upper Control Limit (BKA) of 11.3864 and Lower Control Limit (BKB) of 0. It is known that from 60 data samples there is a Tj2 value that comes out from the upper control limit (BKA) where the amount of 15.70871, which indicates the production process is not controlled statistically. Improvements to the MEWMA controller chart can be done based on the ARL with the Markov Chain approach. In this final project, the ARL value used is 200, the magnitude of the process shift is 1.7 and the r value is 0.28, where the value of r is a constant obtained on the r parameter graph. The optimal MEWMA control chart based on ARL with the Markov Chain approach can be said to be stable and controlled if there is no Tj2 value that is outside the upper control limit (BKA). The results of the MEWMA control chart based on the ARL with the Markov Chain approach show that the process is not statistically capable because the MCpm value is 0.516797 and the MCpmk value is 0.437807, the value indicates a process capability index value of less than 1. Keywords: Handmade batik, Multivariate Exponentially Weighted Moving Average (MEWMA), Average Run Length (ARL), Capability process.
ANALISIS INTEGRASI SPASIAL PASAR CABAI MERAH KERITING DI JAWA TENGAH DENGAN METODE VECTOR ERROR CORRECTION MODEL
Authors: Samantha Kenia , Tarno Tarno , Rahmawati Rita
Published: May 2021

Curly red chili (Capsicum annuum L.) is one of commodity which has a big influence to the national economy. To maintain the price stability of curly red chili, an integrated market is needed. Spatial market integration is the level of closeness of relations between regional markets and other regional markets. Spatial market integration will be modeled by the Vector Error Correction Model (VECM) method to see the closeness of both short and long term relationships. The object of this study is the price of curly red chili for several regions in Central Java, such as Kota Semarang, Kab. Demak, Kab. Pati, and Kab. Pekalongan in the period January 2016 to December 2019 where the data has met the stationarity test at first level of difference. In Johansen's cointegration test, it was obtained 3 cointegrations, which means that in each short-term period all variables tend to adjust to each other to achieve long-term balance. Granger causality test shows that there is a two-way relationship and the relationship affects one variable to another for all variables. The VECM model obtained has the MAPE accuracy value for HCMK Semarang 15.93%, Kab. Demak 17.61%, Kab. Pati 15.88%, and Kab. Pekalongan 14.49% which can be interpreted that the performance of the model is good. Keywords: Curly Red Chili, Spatial Market Integration, VECM, Johansen's Cointegration, Granger Causality
PERAMALAN INDEKS HARGA SAHAM MENGGUNAKAN ENSEMBLE EMPIRICAL MODE DECOMPOSITION (EEMD)
Authors: Siregar Rosinar , Santoso Rukun , Kartikasari Puspita
Published: May 2021

Stock price fluctuations make investors tend to hesitate to invest in stock markets because of an uncertain situation in the future. One method that can solve these problems is to use forecasting about the stock prices in the future. Generally, the huge size of data non linear and non stationary, and it is difficult to be interpreted in concrete. This problem can be solved by performing the decomposition process. One of decomposition method in time series data is Ensemble Empirical Mode Decomposition (EEMD). EEMD is process decomposition data into several Intrinsic Mode Function (IMF) and the IMF residue. In this research, this concept applied to data Stock Price Index in Property, Real Estate, and Construction from July 1, 2019 to July 30, 2020 as many as 272 data. Based on the results of data processing, as many as 6 IMF and IMF remaining were used as IMF forecasting and the IMF remaining in the future. The forecast was performed by choosing the best model of each IMF component and IMF remaining, used ARIMA and polynomial trend. Keywords: Time Series Data, Stock Price Index, EEMD, ARIMA, Polynomial Trend.
KLASIFIKASI PEMBERIAN KREDIT SEPEDA MOTOR MENGGUNAKAN METODE REGRESI LOGISTIK BINER DAN CHI-SQUARED AUTOMATIC INTERACTION DETECTION (CHAID) DENGAN GUI R (Studi Kasus: Kredit Sepeda Motor di PT X)
Authors: Sa'diah Chalimatus , Widiharih Tatik , Hakim Arief Rachman
Published: May 2021

One of the factors causing the bankruptcy of a company is bad credit. Therefore, prospective customers need to be selected so that bad credit cases can be minimized. This study aims to determine the classification of credit granting to prospective customers of company X in order to reduce the risk of bad credit. The method used is the binary logistic regression method and the Chi-Squared Automatic Interaction Detection (CHAID) method. In this study, data used in November 2019 were 690 motorcycle credit data for company X in Gresik. The independent variables in this study are the factors that affect bad credit such as gender, marital status, education, employment, income, expenses, home ownership status and the dependent variable is credit status (bad and current). The analysis results show that the binary logistic regression has an accuracy value of 76.38% with an APER of 23.62%, while CHAID has an accuracy value of 93.19% with an APER of 6.81%. The accuracy value of the CHAID method is greater than the binary logistic regression method, while the APER value of the CHAID method is smaller than the binary logistic regression method. So it can be concluded that the CHAID method is better than the binary logistic regression method in classifying bad credit at company X. Keywords: Credit, Classification, Binary Logistic Regression, CHAID.
PEMODELAN AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE DENGAN EFEK EXPONENTIAL GARCH (ARFIMA-EGARCH) UNTUK PREDIKSI HARGA BERAS DI KOTA SEMARANG
Authors: Hanifa Rezky Dwi , Mustafid Mustafid , Hakim Arief Rachman
Published: May 2021

Time series data is a type of data that is often used to estimate future values. Long memory phenomenon often occurs in time series data. Long memory is a condition that shows a strong correlation between observations even though they are quite far away. This phenomenon can be overcome by modeling time series data using the Autoregressive Fractional Integrated Moving Average (ARFIMA) model. This model is characterized by a fractional difference value. ARFIMA (Autoregressive Fractional Integrated Moving Average) model assumes that the residuals are normally distributed, mutually independent, and homogeneous. However, usually in financial data, the residual variants are not constant. This can be overcome by modeling variants. Standard equipment that can be used to model variants is the ARCH / GARCH (Auto Regressive Conditional Heteroscedasticity / Generalized Auto Regressive Conditional Heteroscedasticity) model. Another phenomenon that often occurs in GARCH models is the leverage effect on the residuals of the model. EGARCH (Exponential General Auto Regessive Conditional Heteroscedasticity) is a development of the GARCH model that is appropriate for data that has an leverage effect. The implementation of this model is by modeling financial data, so this study takes 136 monthly data on rice prices in Semarang City from January 2009 to April 2020. The purpose of this study is to create a long memory data forecasting model using the Exponential method. Generalized Autoregressive Conditional Heteroscedasticity (EGARCH). The best model obtained is ARFIMA (1, d, 1) EGARCH (1,1) which is capable of forecasting with a MAPE value of 3.37%.Keyword : Rice price, forecasting , long memory, leverage effect, GARCH, EGARCH
KLASIFIKASI STATUS KEMISKINAN RUMAH TANGGA DENGAN ALGORITMA C5.0 DI KABUPATEN PEMALANG
Authors: Umma Fatiya Nur , Warsito Budi , Maruddani Di Asih I
Published: May 2021

Pemalang regency is a district which has amount of poverty around 16.04%. One of the effort that must be improved in tackling poverty is increasing the accuracy of the government program’s target. The improvement of target accuracy is expected to give the better impact on the welfare of the population. This study classified the poverty status of households in Pemalang regency using C5.0 Algorithm. The poverty status of households is divided into two classes, namely poor and non-poor. There was an imbalance of data in both classes. Data imbalances were handled by using Synthetic Minority Oversampling Technique (SMOTE). From the research that has been done, SMOTE application in classification of household poverty status affected the evaluation value of the model. Previously the model could not classify the minority class and after using SMOTE the model produced an average value of sensitivity 25.80%. SMOTE application increased the average value of specificity from 91.16% to 94.91%. However, SMOTE application decreased the average value of accuracy which originally 91.16% down to 82.2%.Keywords : C5.0, Household poverty, Classification, SMOTE
PERHITUNGAN PREMI MURNI PADA SISTEM BONUS MALUS UNTUK FREKUENSI KLAIM BERDISTRIBUSI BINOMIAL NEGATIF DAN BESAR KLAIM BERDISTRIBUSI WEIBULL PADA DATA ASURANSI KENDARAAN BERMOTOR DI INDONESIA
Authors: Adisti Rillifa Iris , Mutaqin Aceng Komarudin
Published: May 2021

System bonus malus is one of the systems offered by an insurance company where the risk premium calculation is based on the claim history of each policyholder. In study will be discussed premium calculation in system, bonus malus  where the frequency of claims has a negative binomial distribution and the size of claims is Weibull distribution on motor vehicle insurance data in Indonesia. This method will producesystem an bonus malus optimal by finding the posterior distribution using Bayes analysis. As the application material used secondary data from the recording results obtained from the general insurance company PT. XYZ in 2014, data contains data on the frequency of claims and the amount ofclaims partial loss of policyholders forinsurance products for comprehensivemotor vehicle insurance category 8 regions 3.The results of the implementation show that the premiums with the system are bonus malus optimalconsidered fair enough because the premiums paid by policyholders insurance that extends the policy in the following year is proportional to the risk it faces, where the premium to be paid by each policyholder is based on past claims history. Keywords: system bonus malus, negative binomial distribution, Weibull distribution, comprehensive,  partial loss.
PEMODELAN SEMIPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION PADA KASUS PNEUMONIA BALITA PROVINSI JAWA TENGAH
Authors: Utami Putri Fajar , Rusgiyono Agus , Ispriyanti Dwi
Published: May 2021

Geographical and inter-regional differences have contributed to the diversity of child pneumonia cases in Central Java, so  a spatial regression modelling is formed that is called Geographically Weighted Regression (GWR). GWR is a development of linear regression by involving diverse factors geographical location, so that local parameters are produced.  Sometimes, there are non-local GWR parameters. To overcome some non-local parameters, Semiparametric Geographically Weighted Regression (SGWR) is formed to develop a GWR model with local and global influences simultaneously. SGWR Model is used to estimate the model of percentage of children with pneumonia in Central Java with population density, average temperature, percentage of children with severe malnutrition, percentage of children with under the red line weight, percentage of households behave in clean and healthy lives, and percentage of children who measles immunized. SGWR models on percentage of children with pneumonia in Central Java produce locally significant variables that is population density, average temperature, and percentage of households behave in clean and healthy lives. Variable that globally significant is percentage of children with severe malnutrition. Based on Akaike Information Criterion (AIC), SGWR is a better model to analize percentage of children with pneumonia in Central Java because of smallest AIC. Keywords: Akaike Information Criterion, Geographically Weighted Regression, Semiparametric Geographically Weighted Regression
MODEL REGRESI COX PROPORTIONAL HAZARD PADA DATA KETAHANAN HIDUP PASIEN HEMODIALISA
Authors: Khinanti Aprilia Sekar , Sudarno Sudarno , Wuryandari Triastuti
Published: May 2021

Cox regression is a type of survival analysis that can be implemented with proportional hazard models or duration models. In the survival analysis data, there is a possibility that the data has ties, so it is necessary to use several approaches in estimating the parameters, namely the breslow, efron, and exact approaches. In this study, the Cox proportional hazard regression was used as a method of analysis for knowing the factors that influence the survival time on chronic kidney patients undergoing hemodialysis therapy. Based on the analysis that has been done, the best model is obtained with an exact approach and the factors that influence the survival time of hemodialysis patients are systolic blood pressure, hemoglobin level, and dialysis time. Hemodialysis patients who have high systolic blood pressure have a chance of failing to survive 12,950 times than normal systolic blood pressure.While the hemodialysis patient hemoglobin level increases, the hemodialysis patients chances of failing to survive is 0,6681 times less. Hemodialysis patients who received dialysis therapy with a dialysis time of more than four hours had 0.237 times the chance of failing to survive than patients with a dialysis time of less than or equal to 4 hours.Keywords: Cox Regression ,Survival, Ties, Hemodialysis.
Potensi Konsorsium Sampel Air Pelabuhan Kamal dan Bittern dalam Mendegradasi Solar
Authors: Sari Harfatia Chandra Puspita , Triajie Haryo , Junaedi Abdus Salam
Published: May 2021

Biodegradation is an alternative in overcoming oil pollution biologically. Utilization of bacteria obtained from contaminated (indigenous) areas is known to be more effective in the degradation process. This study aims to determine the characteristics of indigenous bacteria that have been isolated from Kamal harbor water samples, and the consortium will be compared with the consortium of bacteria isolated from salt waste water (bittern) samples to determine their ability to degrade diesel pollutants. The method used in this research is the enrichment method, to obtain bacterial isolates. The consortium was treated with solar concentrations of 1%, 1.5%, 2%, 2.5%, and 3%. The results showed that 4 types of bacteria were obtained (BI.1, BI.2, BI.3, and BI. 4) from Kamal harbor waters with different macroscopic and microscopic characteristics. The highest %total petroleum hydrocarbons (TPH) reduction by the indigenous consortium was in the 3% diesel treatment with a value of 3.87, while in the bittern consortium there was 2.5% diesel treatment with a value of 3.34. Biodegradasi merupakan salah satu alternatif dalam menanggulangi pencemaran minyak secara biologis. Pemanfaatan bakteri yang diperoleh dari area pencemaran (indigenous)diketahui akan lebih efektif dalam proses degradasi. Penelitian ini bertujuan untuk mengetahui karakteristik bakteri yang berhasil diisolasi dari sampel air pelabuhan kamal, dan konsorsiumnya akan dibandingkan dengan konsorsium bakteri yang berhasil diisolasi dari sampel air limbah garam (bittern) guna mengetahui kemampuannya dalam mendegradasi bahan pencemar solar. Metode yang digunakan dalam penelitian yaitu metode enrichment, untuk memperoleh isolat bakteri. Konsorsium diberi perlakuan dengan konsentrasi solar 1%, 1,5%, 2%, 2,5%, dan 3%. Hasli penelitian menunjukkan diperoleh 4 jenis bakteri (BI.1, BI.2, BI.3, dan BI.4) dari perairan pelabuhan kamal dengan karakteristik makroskopis dan mikroskopis yang berbeda-beda. Penurunan %total petroleum hidrokarbon (TPH) tertinggi oleh konsorsium indigenous terdapat pada perlakuan solar 3% dengan nilai sebesar 3,87, sedangkan pada konsorsium bittern terdapat pada perlakuan solar 2,5% dengan nilai sebesar 3,34.
DNA Barcoding and CITES-Listed Wedgefish (Rhynchobatidae, Rhinidae) from South Bangka, Indonesia
Authors: Aisyah Siti , Santia Novi , Supratman Okto , Syarif Ahmad Fahrul , Anggraeni Anggraeni
Published: May 2021

Overfishing of wedgefish greatly affects its population and the balance of the marine ecosystem. This is exacerbated by their relatively low fecundity, slow growth, and late maturity results in one of the lowest population growth rate within elasmobranch species. However, lacking database information results in insufficient regulations and surveillance of wedgefish fishing. The current situation is feared to the risk of wedgefish’s survival, especially in Bangka Belitung Islands, Indonesia. Fundamental to a database is the accurate identification of wedgefish species based on mitochondrial DNA (mtDNA) analysis. This study aimed to use DNA barcodes to identify, determine the conservation status, and the status according to the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). We collected samples including unidentified fin samples from confiscated illegal fishing catches, the traditional markets and fishing docks, South Bangka. In this research, we used DNA Barcoding (mitocondrial DNA, COI gene) to identify and examine of wedgefish samples. The tissue samples used in this study were identified as species listed in CITES Appendix II, they are Rhynchobatus australiae, Rhynchobatus springeri and Rhina ancylostoma. According to the IUCN Red List, 100% of the wedgefish species found are Critical Endangered at the global level.
Keterkaitan Megabentos yang Berasosiasi dengan Padang Lamun terhadap Karakteristik Lingkungan di Perairan Jepara
Authors: Riniatsih Ita , Ambariyanto Ambariyanto , Yudiati Ervia
Published: May 2021

Seagrass bed are one of the ecosistems in shallow waters that can support the biodiversity of marine organisms. Megabenthos as benthic organisms that usually live in association in seagrass beds, have an important role in the food web in their habitat. This study aims to analyse the diversity of megabenthos associated with their habitat characteristics in seagrass waters in Bandengan, Teluk Awur and Panjang Island Jepara. This research was conducted using a descriptive field method, and megabenthos data collecting was carried out using the line transect method. Thr result showed that 158 individuals from 8 species of megabenthos were found (from 2 phyla: Echinodermata and Molluska) from three observation locations. Condition factors that influence the abundance and diversity of megabenthos are the substrat type and seagrass cover.   Padang lamun sebagai salah satu ekosistem di perairan laut dangkal dapat menopang keanekaragaman hayati organisme laut. Megabentos yang termasuk dalam organisme bentik merupakan organisme yang biasa hidup berasosiasi di padang lamun, mempunyai peranan penting dalam jaring-jaring makanan di habitatnya. Penelitian ini bertujuan untuk menganalisa keanekaragaman megabentos dikaitkan dengan karakteristik habitatnya di perairan padang lamun di Bandengan, Teluk Awur dan Pulau Panjang Jepara. Penelitian ini dilakukan dengan metoda deskriptif lapangan, dan pengambilan data megabentos dilakukan dengan metoda line transek. Hasil pengamatan menunjukkan ditemukan 158 individu dari 8 spesies  megabentos (dari 2 filum: Echinodermata dan Molluska) dari ketiga lokasi pengamatan.  Faktor kondisi yang berpengaruh terhadap kelimpahan dan keanekaragaman megabentos adalah jenis substrat dasar dan tutupan lamun.
Identifikasi Arus Pasang Surut di Perairan Kemujan, Karimunjawa Berdasarkan Data Pengukuran Acoustic Doppler Current Profiler
Authors: Indrayanti Elis , Sugianto Denny Nugroho , Purwanto Purwanto , Siagian Hendry Syahputra  Ropinus
Published: May 2021

Ocean currents are dynamic hydro-oceanographic parameters which is play an important role in the transport of nutrients, larvae, sediment, and so on. Therefore, the identification of ocean currents including velocity, direction, sea level and the type of currents important to be studied. The research was conducted in Kemujan Water, Karimunjawa. Data for this research is based on velocity data measured using the Acoustic Doppler Current Profiler (ADCP) for 3 x 24 hours. Furthermore, the raw data of the measurement are analyzed using least square methods to obtain the characteristic of tidal current. The total current is separated into tidal currents and residual current (non-tidal currents). Result shown that the characteristic of current in Kemujan Water, Karimunjawa was tidal current. Tidal current moves bi-directional, toward the northeast and the southwest.. Arus laut merupakan parameter hidro-oseanografi yang dinamis dan mempunyai peran penting dalam transpor nutrien, larva, material, dan lain sebagainya. Oleh karena itu identifikasi arus laut meliputi kecepatan, arah, elevasi muka air laut dan tipe arus laut perlu untuk dikaji. Penelitian dilaksanakan di Perairan Kemujan  yang merupakan salah satu gugusan pulau di Karimunjawa. Data  yang dianalisa merupakan data kecepatan arus hasil pengukuran langsung menggunakan Acoustic Doppler Current Profiler (ADCP) selama 3x24 jam. Selanjutnya raw data hasil pengukuran diolah dengan metode least square untuk mengetahui karakteristik arus. Arus total dipisahkan menjadi arus pasang surut dan arus non-pasang surut (residu). Hasil penelitian menunjukkan bahwa prosentase arus pasang surut lebih besar dari arus residu, sehingga arus di Perairan Kemujan, Karimunjawa teridentifikasi sebagai arus pasang surut. Arus  bergerak secara bertolak belakang (bi-directional) yaitu pada saat surut menuju pasang arah arus menuju ke timur laut dan pada saat pasang menuju surut arah arus menuju ke barat daya.
Transformation of Calcium Carbonate Polymorph From Various Type of Shells by Carbonation Methods
Authors: Muljani Srie , Saputra Erwan Adi , Sumada Ketut
Published: May 2021

The utilization of shells can reduce the accumulation of shell wastes and increase the value of shells to achieve ecological and economic incentives. This study examines the transformation of calcium carbonate polymorph from several types of shells to understand the causes of their characteristics in order to suitable for their use. The types of shells used in this experiment are selected based on consumable and their habitats such as snail shells, crab shells, eggshells, batik mussels shells, and golden conch shells. The prepared shells calcinate at 900 °C, the reaction with hydrochloric acid, and carbonation by flowing CO2 into a stirred reactor to produce precipitated CaCO3. The characteristics of polymorph CaCO3  in the sintering temperature of 30, 50, and 70 ℃ were identified by XRD, FTIR, and SEM morphological. The result is that the polymorphs formed from each shell are different in shape, size, and crystallinity. At the temperature of 70 ℃, the rhombohedral calcite was obtained from snail shells, the cubic calcite was obtained from batik mussel shell, while rhombohedral calcite multilayers obtained (100%) from golden conch shells. The aragonite was obtained from batik mussel shells at 30 and 70 ℃. The pure vaterite (100%) was obtained from snail shells and crab shells at 50 ℃. The characteristic of polymorph formed might be useful as information for more suitable applications, especially as nano-bio materials, optical, or filler
The Stability Analyze of KM. Rejeki Baru Kharisma of Tarakan – Tanjung Selor Route
Authors: Alamsyah Alamsyah , Zulkarnaen Zen , Suardi Suardi
Published: June 2021

Ship stability that is not according to the IMO standard will make the ship capsize when operating. The purpose of this research is to determine the cause of the overturn in terms of the stability criteria of the ship. The method used is software  of simulation. Stability analysis is carried out with the load case that occurs in the field when an accident occurs and the ideal loadcase according to PM 104 2017 standards about’s the transportation of operation. The results showed is cargo of goods placed on the roof top (loadcase 1) based on the criteria of Intact Stability; area of the stability arm curve at heeling 0° ~ 30° = 0.9417 m.deg, area 0° ~ 40° = 1,0200 m.deg, 30° ~ 40° = 0.0783 m.deg, GZ value at heeling 30° = 0.029 m, angle of occurrence of maximum GZ = 21.8°, and the initial GMt value = 0.135 m, the results stated that all did not meet the Intact Stability code A.749 criteria, while in it was obtained cargo of goods placed in the hull (loadcase 2) based on Intact Stability; area of the stability arm curve at heeling 0° ~ 30° = 4.5338 m.deg, area 0° ~ 40° = 7.1643 m.deg, area 30° ~ 40° = 2.6305 m.deg, GZ value at heeling 30° = 0.265 m, angle of occurrence of maximum GZ = 34.5°, and the initial GMt value = 0.621 m, the results stated that all met the Intact Stability code A.749 criteria
Analysis Of The Residual Red Soil Shear Test With The Slurry Method In The Regency Of Semarang
Authors: Pardoyo Bambang , Wirawan Briota Akhbar , Huda Khoirul
Published: June 2021

Residual soil is found in most areas with mountainous, hilly, and undulating topography. This soil is marked by red or brown color. This study aims to determine the physical and mechanical properties of soil in the original soil and residual soil conditions using the slurry method. Research objects were taken from residual red soil of The East Ungaran District, Bergas District, and Bawen District. Analysis of the physical and mechanical properties test shows that the soil sample is a type of clay with kaolinite constituent minerals and moderate swelling ability, and direct shear testing from locations L1, L2, and L3 obtained residual peak shear angles using the slurry method of 29,249 °; 31,341 °; 31,964 ° and constant residual shear angle value of 8,082 °; 8,138 °; 7,294 °, the value of the original soil shear angle has a value of 32.82 °; 31.44 °; 31.98. The higher the value of the plasticity index, the higher the value of the free swell. The relationship between the plasticity index and the value of the residual peak shear angle shows that the results of the peak shear angle and the plasticity index are still within the scope of standard deviation. The value of the constant residual shear angle with the slurry method is much smaller than the test result graph.
DİJİTAL DİPLOMASİ FAALİYETİ OLARAK TÜRK BÜYÜKELÇİLERİN TWİTTER KULLANIMI: AVRUPA BİRLİĞİ ÜLKELERİNDE GÖREV YAPAN TÜRK BÜYÜKELÇİLER ÖRNEĞİ
Authors: SALİHİ Emin
Published: June 2021

Devletler kamu diplomasisi alanında faaliyetlerini çeşitlendirmektedir. Dijital diplomasi bunlardan biridir. İletişim teknolojilerindeki gelişmeler sonrası dijital diplomasi faaliyetleri çerçevesinde çeşitli araçlar kullanılmaktadır. Büyükelçilerin sosyal medya kullanımı bunlardan biridir. Sosyal medya, aracısız bir şekilde yabancı devletlerin vatandaşlarına ulaşma noktasında önemli avantajlar sağlamaktadır. Kamu diplomasisi faaliyetleri çerçevesinde büyükelçilerin sosyal medyayı etkin kullanması görev tanımlarına dâhil olmaktadır. Çalışmanın amacı Türk büyükelçilerin yeni gelişmelere ne kadar uyum sağladığı sorusuna cevap aramaktır. Çalışmanın örneklemi Avrupa Birliği’nde (AB) görev yapan büyükelçilerden oluşmaktadır. 11 büyükelçinin Twitter hesabı olduğu tespit edilmiştir. Belirli bir zaman dilimi belirlenerek (15-28 Ekim 2020), örneklem içinde yer alan büyükelçilerin Twitter hesapları incelenmiştir. Büyükelçilerin hesaplarında yapılan paylaşımlar tasnif edilmiş, tablolar halinde sayısal verilere dönüştürülmüş ve paylaşımların içerik analizi yapılmıştır. Çalışmada, Türk büyükelçilerin kamu diplomasisi faaliyeti çerçevesinde Twitter hesaplarını etkin kullanmadıkları sonucuna varılmıştır.
THE EFFECTS OF CONFLICT ON CO-WORKER CLOSE RELATIONSHIP: A POTENTIAL MEDIATOR BETWEEN CONFLICT AND ORGANIZATIONAL OUTCOMES
Authors: KONUK Hızır , ATAMAN BERK Göksel
Published: June 2021

There are few studies in the literature addressing the interaction between conflict and interpersonal relationship dynamics. Studying this interaction can contribute to the discussion of the outcomes of the conflict. A random sample was drawn from 234 Turkish citizen white collar non-manager employees belonging to nine different professions from SME companies. Consistent with social exchange theory, it has been supposed that when a conflict emerges between co-workers, the norms of social exchange may be undermined, thus the close relationship may be affected negatively. According to the results of multiple linear regression analysis, both of the conflict types affect relational capital. Unexpectedly, analysis revealed that task conflict’s effect on relational capital is higher than the relationship conflict’s. The moderation analysis revealed that task type doesn’t have a moderation role on conflict’s effect on relational capital.
Evaluation of geographical indication for the clay handicraft from a city in the Northeast of Brazil
Authors: Souza Maxwell Tavares , Santos Brenda Lohanny Passos , Ruzene Denise Santos , Vasconcelos Cleiton Rodrigues de , De-Bortoli Robelius , Silva Daniel Pereira
Published: June 2021

Geographical indications (GIs) can provide quality perception to a product by recognizing its unique characteristics, which creates the expectation that the registration of a GI is associated with its regional economic development. According to the literature, there are two types of GI: appellation of origin (AO) and indication of source (IS). The present study aimed to evaluate the best practice for obtaining an IS for the clay handicrafts produced in the municipality of Santana do São Francisco, in the northeast region of Brazil. Applied research, with a qualitative structure, was the methodology used to identify and select the ideal agents that potentiate the gains resulting from the GI. The evaluation was based on the methodology defined by the Ministry of Agriculture, Livestock and Supply of Brazil (Mapa), adapted for the qualification of agents able to carry out the necessary actions for the recognition process. The results showed that the Association of Artisans and the Brazilian Micro and Small Business Support Service (Sebrae) could act as the requesting and support entities, respectively, since both fulfill the requirements to work in favor of obtaining an indication of source in Santana do São Francisco.
Application of SERS quantitative analysis method in food safety detection
Authors: Zhou Hualan , Li Xiaodi , Wang Lehui , Liang Yingfang , Jialading Aikedan , Wang Zishuo , Zhang Jianguo
Published: May 2021

Food safety and quality have gained much attention and the capability to evaluate food quality and safety in a sensitive, rapid, and reliable manner is of great importance in the food industry. Surface-enhanced Raman scattering (SERS) with the advantages of excellent sensitivity, high selectivity, non-destructive nature, and significant enhancement to identify the target has demonstrated a great potential for quick detection of the food sample. The enhancement of Raman signals for SERS is not only related to the interactions between substrates and samples but also the functionalization of substrates to gain SERS active substrates. In the present review, this paper summarized the progress of SERS quantitative analysis and application in food safety detection. The future trends and perspectives were also given.
O Simbólico, o Imaginário e o Real nas narrativas jesuítas: estudo comparado dos escritos de Manuel da Nóbrega e Luís Fróis (1549-1585)
Authors: BROCCO Pedro D. B.
Published: June 2021

The present work aims to provide a comparative analysis of the workings of the Companhia de Jesus in Brazil and Japan in the second half of the sixteenth century, before considering the activities of Portuguese Jesuit priest Luís Fróis (1532-1597) on the Japanese mission and his central importance to the written output and publication of the mission among European and Ignatian circles. In writing on the Japanese mission, Fróis introduces into his discourse the foreign voice of the native Japanese, giving them a voice in the texts and describing their rituals, customs, and way of life. A comparative analysis with the written output of Manuel de Nóbrega, who wrote on the Brazilian mission, indicates that the symbolic aspect of the written representation of difference, which may be located in Luis Fróis, is less pronounced or even absent from Nóbrega’s work, giving rise to the appearance of the other not as difference, but as similarity, diluted in the fifteenth-century European imaginative and rhetoric frameworks. To conclude, a general reading is carried out between the work of Luis Fróis and Antoine Galland, the first European translator of One Thousand and One Nights.
Optimal Technological Selection for Biomass Torrefaction
Authors: Mohamad Hassan Nur Hazirah , Abdul Razik Abdul Halim
Published: May 2021

Malaysia palm oil sector plays a strategic role as the key producer for generation of renewable energy and production of biodiesel. The raw biomass has poor qualities such as high moisture content, low energy density, low bulk density and heterogeneous in nature. Biomass could supply sustainable energy in the form of bio-power, heat and bio-fuels if the suitable pre-treatment method is applied. The biomass must be pre-treated to improve properties of biomass and make it more suitable for energy applications. The pre-treatment process called torrefaction that involve the heating at 300 under 1bar. This study focused on the optimal technological selection for biomass torrefaction. The purpose of this study are to simulate the three different technologies of torrefaction using Microwave Reactor, Fluidized Bed Reactor and Rotary Drum Reactor and to optimize the selection of those technologies based on costing. There were three technology that can be model using Aspen Plus for torrefaction to represent the reactor. Then, after validation three types of torrefiers were simulated using Aspen Plus. From GAMS optimization result using CPLEX solver, one technology was selected by considering product yield of torrefied EFB, operating cost and capital cost of the technologies. The product yield, operating cost and capital cost for the Fludized Bed Reactor were 4632.67 tons per year, RM5, 683,045.50 per year and RM12, 658,926.22 per year, respectively. Fluidized bed system, has been selected to be the best technology to do torrefaction of EFB for the given conditions.
Gelatin Extraction from the Bangladeshi Pangas Catfish (Pangasius pangasius) Waste and Comparative Study of Their Physicochemical Properties with a Commercial Gelatin
Authors: Barman Liton Chandra , Sikder Md. Belal Hossain , Ahmad Iftekhar , Shourove Jahid Hasan , Samiur Rashid Shah , Ramli Aizi Nor Mazila
Published: May 2021

Abstract- Production of gelatin from the aquatic source is gradually replacing the mammalian sources because of some socio-cultural and religious issues. The Pangasius pangasius catfish is a native species and very popular in Bangladesh due to their availability and cheap price. The perspective of this study was to extract the gelatin from the skin and bones of this catfish and compare them with commercial gelatin. Gelatin was extracted by applying the acid-base extraction process and the resultant gelatins were evaluated based on some physical properties. The gelatin yield was found significantly higher from the skin sample (10.85±0.93%) than the bone (5.23±0.39%) of Pangasius. The extracted skin gelatin had higher moisture and fat content than the bone and Commercial gelatin, while the ash content was significantly higher in bone gelatin. Protein content was noted in skin gelatin (81.34±3.45%), bone gelatin (73.44±2.58%), Where commercial gelatin (92.38±3.89%). Skin gelatin exerted significantly higher (p<0.05) viscosity (4.62±0.3 mPa.s) than the extracted bone gelatin (3.11±.24 mPa.s) and lower than the commercial gelatin (5.76±0.34 mPa.s). The melting and setting temperature of this catfish skin and bone gelatin were very near to each other and significantly lower than the commercial gelatin. Skin gelatin had exerted higher water holding capacity (2.36±0.11 ml/g), fat binding capacity (3.23±0.05 ml/g), foaming capacity ratio (1.88±0.07), and foam stability (1.51±0.04). Both the skin and bone gelatins were acidic. In this comparative study, it was noticed that the skin gelatin had better physical properties than the bone gelatin of native Pangasius catfish. Pangasius skin may be recognized as a potential aquatic source of edible gelatin with good yield and desirable physical properties comparing with commercial gelatin.
Antimicrobial, Antioxidant and Cytotoxic Activities of Cosmos Caudatus extracts
Authors: Sia Y.S. , Chern Z.W. , Hii S.P. , Tiu Z.B. , Arifin Mohd Azmir
Published: May 2021

This study aims to investigate the in-vitro antimicrobial potential of Cosmos caudatus against pathogenic bacteria, its antioxidant activity and cytotoxic effect on cancer cell lines. In vitro antimicrobial activities of ethanol and water extracts of Cosmos caudatus herb against pathogenic bacteria, Staphylococcus aureus, Salmonella sp., Pseudomonas aeruginosa and Escherichia coli were tested by agar well diffusion. Antioxidant properties of the extracts was evaluated by 2,2-diphenyl-1-picryl-hydrazyl radical scavenging activity method. Additionally, cytotoxic activity of the extracts on HCT 116 colorectal carcinoma cell line was determined by (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. Vero cells were used as a control. The quantification of these extracts showed that this plant is rich in secondary metabolites. Moreover, the conventional soxhlet extraction technique was more effective than maceration and ultrasonic assisted extraction technique. In antioxidants assay, both the ethanolic and water extracts through ultrasonic extraction method exhibited the highest DPPH free radical scavenging capacity compared to maceration and sohxlet extraction method. In antimicrobial assay, both the water and ethanol extracts showed no inhibitory action against the tested pathogenic bacteria. For anticancer activity, the F2, F7 and F8 fractions showed potent dose dependent cytotoxicity on Human Colorectal Carcinoma Cells with IC50 value of 15.53 ± 0.4, 32.72 ± 0.3 and 34.16 ± 1.4 μg/mL, respectively.
Constructing a new cost structure using time-driven activity-based costing for replanting at palm oil plantation
Authors: Mohd Zaini Sri Nur Areena , Abu Mohd Yazid
Published: May 2021

The palm oil industry in Malaysia is undeniably the pride of the country. However, in this plantation there are currently few issues which do not set up a time equation to interpret the variance of activities, the rate setting did not illustrate the correlation between the resources provided and the practical capacity, and the manager had no tool in place to monitor the unused capacity. In order to increase precision in the field of palm oil plantation, this work aims to develop a new cost structure. Time-driven activity-based costing (TDABC) has been introduced because it allows time output to be efficiently assessed, the idle capacity accurately defined, and the unused capacity separately to be recorded. This provides an overview of functional tools and their associated costs as well as measurement methods and facilitates quality improvement. This work focused only on replanting field and the plantation located in Pahang. The maximum replanting capacity cost rate (CCR), with 288600 minutes and 0.106 RM / minute, was subsequently successfully developed. Finally, the manager can observe that 68358.45 minutes of utilized capacity could be used for the systematic development of replanting capacity planning.