bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMODELAN DATA KEMISKINAN PROVINSI JAWA TENGAH MENGGUNAKAN FIXED EFFECT SPATIAL DURBIN MODEL
Authors: Alvitiani Siska , Yasin Hasbi , Mukid Mochammad Abdul
Published: September 2020

Based on data from the Central Statistics Agency, Central Java has 4,20 million people (12,23%) poor population in 2017 with Rp333.224,00 per capita per month poverty line. So, Central Java has got the second rank after East Java as the province which has the highest poor population in indonesia in 2017. In this research use the fixed effects spatial durbin model method for modeling poor population in each city in Central Java at 2014-2017. The spatial durbin model is a spatial regression model which contains a spatial dependence on dependent variable and independent variable. If the spatial dependence on dependent variable or independent variables is ignored, the resulting coefficient estimator will be biased and inconsistent. The fixed effect is one of the panel data regression models which assumes a different intercept value at each observation but fixed at each time, and slope coefficient is constant. The advantage of using fixed effects in spatial panel data regression is able to know the different characteristics in each region. The dependent variable used is poor population in each city in Central Java, and the independent variable is Minimum Wage, Life Expectancy, School Participation Rate 16-18 Years, Expected Years of Schooling, Total Population, and Per Capita Expenditure. The results of the analysis shows that the fixed effects spatial durbin model is significant and can be used. The variables that significantly affect the model are the Life Expectancy and Expected Years of Schooling, and the coefficient of determination (R2) is 99.95%. Keywords: Poverty, Spatial, Panel Data, Fixed Effects Spatial Durbin Model
PEMILIHAN INPUT MODEL ANFIS UNTUK DATA RUNTUN WAKTU MENGGUNAKAN METODE FORWARD SELECTION DILENGKAPI GUI MATLAB (Studi Kasus: Jumlah Penumpang Kereta Api di Wilayah Jawa Non Jabodetabek)
Authors: Valentina Tiara Sukma , Tarno Tarno , Prahutama Alan
Published: September 2020

One of the methods that is commonly used to identify a time series model and input ANFIS (Adaptive Neuro Fuzzy Inference System) model is PACF plot. The PACF plot shows the correlation between current observations and previous observations visually. Formally there are several methods that are known to effectively identify ANFIS inputs, one of which is the Forward Selection regression method. With the same concept as PACF, the process of selecting ANFIS inputs using the Forward Selection method is based on the order of the correlatiom between the predictors of the response which is indicated by the magnitude of the correlation coefficient. This study discusses the Forward Selection method in simulation data that has stationary characteristics, stationary with outliers, non stationary, non stationary with outliers and implements data on the number of train passengers in the Non Jabodetabek Java region. ANFIS modeling on data of the number of train passengers in the Non Jabodetabek Java region produces AIC of 15,5617, MAPE of 8,5093% and RMSE of 571,33691. The result of this study is equipped with a GUI which is useful as a tool to facilitate users in processing data.Keywords : PACF Plot, Forward Selection, ANFIS, non stasionary, outlier
Analisis Kesehatan Bank Menggunakan Local Mean K-Nearest Neighbor dan Multi Local Means K-Harmonic Nearest Neighbor
Authors: Assegaf Alwi , Mukid Moch. Abdul , Hoyyi Abdul
Published: September 2020

The classification method continues to develop in order to get more accurate classification results than before. The purpose of the research is comparing the two k-Nearest Neighbor (KNN) methods that have been developed, namely the Local Mean k-Nearest Neighbor (LMKNN) and Multi Local Means k-Harmonic Nearest Neighbor (MLM-KHNN) by taking a case study of listed bank financial statements and financial statements complete recorded at Bank Indonesia in 2017. LMKNN is a method that aims to improve classification performance and reduce the influence of outliers, and MLM-KHNN is a method that aims to reduce sensitivity to a single value. This study uses seven indicators to measure the soundness of a bank, including the Capital Adequacy Ratio, Non Performing Loans, Loan to Deposit Ratio, Return on Assets, Return on Equity, Net Interest Margin, and Operating Expenses on Operational Income with a classification of bank health status is very good (class 1), good (class 2), quite good (class 3) and poor (class 4). The measure of the accuracy of the classification results used is the Apparent Error Rate (APER). The best classification results of the LMKNN method are in the proportion of 80% training data and 20% test data with k=7 which produces the smallest APER 0,0556 and an accuracy of 94,44%, while the best classification results of the MLM-KHNN method are in the proportion of 80% training data and 20% test data with k=3 which produces the smallest APER 0,1667 and an accuracy of 83,33%. Based on APER calculation shows that the LMKNN method is better than MLM-KHNN in classifying the health status of banks in Indonesia.Keywords: Classification, Local Mean k-Nearest Neighbor (LMKNN), Multi Local Means k-Harmonic Nearest Neighbor (MLM-KHNN), Measure of accuracy of classification
PERBANDINGAN KINERJA MUTUAL K-NEAREST NEIGHBOR (MKNN) DAN K-NEAREST NEIGHBOR (KNN) DALAM ANALISIS KLASIFIKASI KELAYAKAN KREDIT
Authors: Sugesti Annisa , Mukid Moch. Abdul , Tarno Tarno
Published: September 2020

Credit feasibility analysis is important for lenders to avoid the risk among the increasement of credit applications. This analysis can be carried out by the classification technique. Classification technique used in this research is instance-based classification. These techniques tend to be simple, but are very dependent on the determination of  K values. K is number of nearest neighbor considered for class classification of new data. A small value of K is very sensitive to outliers. This weakness can be overcome using an algorithm that is able to handle outliers, one of them is Mutual K-Nearest Neighbor (MKNN). MKNN removes outliers first, then predicts new observation classes based on the majority class of their mutual nearest neighbors. The algorithm will be compared with KNN without outliers. The model is evaluated by 10-fold cross validation and the classification performance is measured by Gemoetric-Mean of sensitivity and specificity. Based on the analysis the optimal value of K is 9 for MKNN and 3 for KNN, with the highest G-Mean produced by KNN is equal to 0.718, meanwhile G-Mean produced by MKNN is 0.702. The best alternative to classifying credit feasibility in this study is K-Nearest Neighbor (KNN) algorithm with K=3.Keywords: Classification, Credit, MKNN, KNN, G-Mean.
PEMODELAN GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) SEASONAL PADA DATA CURAH HUJAN EMPAT KABUPATEN DI PROVINSI JAWA TENGAH
Authors: Siswanto Eko , Yasin Hasbi , Sudarno Sudarno
Published: September 2020

In many applications, several time series data are recorded simultaneously at a number of locations. Time series data from nearby locations often to be related by spatial and time. This data is called spatial time series data. Generalized Space Time Autoregressive (GSTAR) model is one of space time models used to modeling and forecasting spatial time series data. This study applied GTSAR model to modeling volume of rainfall four locations in Jepara Regency, Kudus Regency, Pati Regency, and Grobogan Regency. Based on the smallest RMSE mean of forecasting result, the best model chosen by this study is GSTAR (11)-I(1)12 with the inverse distance weighted. Based on GSTAR(11)-I(1)12 with the inverse distance weighted, the relationship between the location shown on rainfall Pati Regency influenced by the rainfall in other regencies. Keywords: GSTAR, RMSE, Rainfall
PEMODELAN FUNGSI TRANSFER DAN BACKPROPAGATION NEURAL NETWORK UNTUK PERAMALAN HARGA EMAS (Studi Kasus Harga Emas Bulan Juli 2007 sampai Februari 2019)
Authors: Rinjani Silvia Nur , Hoyyi Abdul , Suparti Suparti
Published: September 2020

The prestige of investment is increasingly rising as the people educates in managing finances. Gold is an alternative that most people tend to choose to invest. One of the important knowledge in gold investing is to predict the price in the future with factors that influence the price of gold. Therefore, in this research we made a model of gold prices based on crude oil prices. One method to forecast gold prices based on crude oil prices is the transfer function and backpropagation neural network. The results of transfer function model will be used as input for the backpropagation neural network method. The purpose of this research is to get the right forecasting method through the transfer function and backpropagation neural network model that can be used to predict gold prices. The results showed that the transfer function model with b = 0, r = [2], s = 0 and the ARMA noise model (0, [6]) is the best model to forecast the price of gold with the MAPE value of data out sample as 3,3507%.  Keywords : Gold Price, Crude Oil Prices, Transfer Function,Backpropagation Neural Network, Forecasting
PERBANDINGAN REGRESI KOMPONEN UTAMA DENGAN REGRESI KUADRAT TERKECIL PARSIAL PADA INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA TIMUR
Authors: Sinaga Vetranella .T.R.A. , Safitri Diah , Rahmawati Rita
Published: September 2020

The multiple regression classic assumptions are used to give linear unbiased and minimum variance estimator. In Human Development Index (HDI) and influencing factors in East Java, there are two variables with VIF more than 10 so the assumption of non-multicollinearity is not fulfilled. Principal component regression (PCR) and partial least squares regression (PLS-R) can solve this problem. By doing principal component analysis, there are two linear combinations to take as the new   independent variables which are free from collinearity. In the PLS-R, NIPALS algorithm is used to calculate the components and other structures and to estimate the parameter. While in PCR all independent variables are significant, the percentage of households with drinking water is feasibles is not significant in the model. PLS-R’s  is 95,85% is greater than PCR’s  = 93,42%. PCR’s PRESS = 81,78 is greater than PLS-R’s PRESS = 61,0595.Keywords: Human Development Index (HDI), Multicollinearity, Principal Component Regression, Partial Least Squares Regression, , PRESS
OPTIMASI REGRESI LOGISTIK MENGGUNAKAN ALGORITMA GENETIKA UNTUK PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGOLONGAN KREDIT BANK (Studi Kasus: Debitur di PT BPR Gunung Lawu Klaten Periode Tahun 2017)
Authors: Wardhani Reno Penggalih Surya , Sudarno Sudarno , Maruddani Di Asih I
Published: September 2020

Credit is the greatest asset managed by banks and also the most dominant contributor to the bank’s income. But in its implementation, the provision of credit to the public is at risk for non-performing loans. For this reason, creditors try to minimize the occurrence of non-performing loans by predicting credit risk appropriately. In this study, modeling the factors that influence credit classification at PT BPR Gunung Lawu is useful for predicting the credit risk of prospective debtors. Modeling are done using logistic regression and genetic algorithms. Factors suspected of influencing credit classification include age, gender, marital status, education, home ownership, employment, net income, tenor, type of business, type of loan, type of loan interest, and loan size. Estimated model parameters obtained from logistic regression were optimized using genetic algorithms. The fitness function used is pseudo  or  and MSE. The best model is generated by modeling with genetic algorithms based on MSE fitness. The model produces the highest  value of 0.1958 and the lowest MSE value of 0.1648 with classification accuracy of 75.33%. Keywords: credit classification, logistic regression, genetic algorithms
GRAFIK PENGENDALI MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING COVARIANCE MATRIX (MEWMC) PADA DATA SAMPEL ZAT KANDUNGAN BATU BARA (Studi Kasus : PT Bukit Asam (Persero) Tbk. Tahun 2016)
Authors: Sensiani Sensiani , Widiharih Tatik , Rahmawati Rita
Published: September 2020

The progress of industrial business in the midst of global competition increased rapidly. A businessman should have special treatment for their products to compete of market quality. The quality of product is an important factor in choosing a product or service, particularly for the costumers. In technological development, the factors of failure in the product can be minimized by Statistical Quality Control. Besides to reducing diversity in product characteristics, statistical quality control can increase business income. The data source of this research is sekunder sample data of coal products of PT Bukit Asam (Persero) Tbk. with seven variables, the variables is Total Moisture (TM), Inherent Moisture (IM), Ash Content (ASH), Volatile Matter (VM), Fixed Carbon (FC), Total Sulfur (TS), and Calorific Value (CV). The analytical method is the controlling chart of Multivariate Exponentially Weighted Moving Covariance Matrix (MEWMC) which is one of the multivariate charts that serves to detect small shift in covariance matrix and the development of Multivariate Exponentially Weighted Moving Average (MEWMA) charts. Based on the results of the analysis, the MEWMA control chart is statistically controlled with a weighting value λ=0,2 while the MEWMC chart with λ=0,2 is not controlled statistically and detected small shift in covariance matrix . In a controlled process, the capability value of multivariate process is 0,83222 < 1 which means the process is not capable.Keywords: MEWMA control chart, MEWMC control chart, Process capability analysis.
ANALISIS MULTIRESOLUSI WAVELET DENGAN TRANSFORMASI WAVELET DISKRIT BERBASIS GUI R (STUDI KASUS: INFLASI DI INDONESIA PADA PERIODE OKTOBER 2007-MEI 2018)
Authors: Farah Sania Anisa , Suparti Suparti , Ispriyanti Dwi
Published: September 2020

Lately, the wavelet applications are widely used in statistics, one of them is discrete wavelet transform (DWT) which is a non-parametric method for signal analysis, data compression, and time series analysis. As technology becomes more advanced, a software is necessary to support the statistical analysis by such method, one of them being the open source based R. It is often used in statistical computing with command line interface (CLI) which requires the R user to remember the names of syntaxes and functions. It becomes less effective when there are many related statistical analysis involved, so graphical user interface (GUI) is needed to access all of them easily. The testing of multiresolution analysis by DWT for Haar, Daublets, and Coiflets filters with levels 1-6 had been performed by using the inflation data in Indonesia during October 2007-May 2018 taken from Bank Indonesia website. The result shows that the sixth level of DWT gives the best estimation for each filters, and Daublets 20 is the best filter for overall estimation with MSE, MAPE, and MASE values are 0.05755, 3.40678, and 0.35343 respectively. The packages for GUI construction in R are wavelets and shiny. Based on its usage, the GUI is capable of processing the chosen analysis and showing the valid output.
PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA DI KEPULAUAN RIAU DENGAN MENGGUNAKAN MODEL FUNGSI TRANSFER
Authors: Siahaan Tamura Rolasnirohatta , Santoso Rukun , Prahutama Alan
Published: September 2020

Transfer function models is a data analysis model that combines time series and causal approach, in another words, transfer function models is a method that ilustrates that the predicted value in teh future is affected by the past value time series and based on one or more related time series. In this research, an analysis of the number of tourist arrival and rainfall in several regions in Kepulauan Riau from January 2013 until December 2017 was aimed at obtaining a transfer function model and forecasting the number of tourist arrival in several regions of the Kepulauan Riau for next periods. Based on the result of the analysis, rainfall in Tanjung Pinang does not affect the visit of tourist with the values of MAPE is 13,63494%. Rainfall in Batam also does not affect the visit of tourist with the values of MAPE is 7,977151%. While in Tanjung Balai Karimun, tourist arrivals was affected by rainfall with the values of MAPE is 10,32777%.
PERAMALAN HARGA CABAI MERAH MENGGUNAKAN MODEL VARIASI KALENDER REGARIMA DENGAN MOVING HOLIDAY EFFECT (STUDI KASUS: HARGA CABAI MERAH PERIODE JANUARI 2012 SAMPAI DENGAN DESEMBER 2019 DI PROVINSI JAWA BARAT)
Authors: Nisa Aulia Rahmatun , Tarno Tarno , Rusgiyono Agus
Published: September 2020

Chili is one of the vegetable commodities that has high economic value, because of it’s role is large enough to supply domestic needs as an export commodity in the food industry. The price of red chilliesalways increase in the month of Eid al-Fitr. This is due to the large number of people who use Red Chili as food they consume. Shifting the moon during the Eid al-Fitr will form a seasonal system with different periods, which became known as the Moving Holiday Effect. One of the calendar variation models used to eliminate the Moving Holiday Effect and has a simple processing flow is the RegARIMA model. The RegARIMA model is a combination of linear regression with ARIMA. In the regression model the weighting matrix is used as an independent variable and the price of red chili as the dependent variable. The weight value is obtained based on the number of days that affect Eid, which is 14 days. Based on the analysis the red chili price data in West Java Province with the period of January 2012 to December 2018, the RegARIMA model (1.0,0)(0,1,1) 12 is the best model because it has the smallest AIC. Forecasting results in 2020 showed an increase in the price of red chili in West Java  occurred in May to coincide with the Eid al-Fitr holiday which fell on May 24, 2020, the sMAPE value obtained by 24.96%. It means, the forecast still in the level of reasonableness.
Association of Growth Velocity with Insulin-Like Growth Factor-1 and Insulin-Like Growth Factor Binding Protein-3 Levels in Children with a Vegan Diet
Authors: Purwana Arie , Budiono Budiono , Batubara Jose RL , Faizi Muhammad
Published: September 2020

Background: The vegan diet in children provides the benefit of reducing the risk of being overweight and improving the fat profile. The risk that can occur in the provision of a vegan diet in children is anthropometric size below reference and low caloric intake. Growth hormone (GH) and Insulin like Growth Factors (IGFs) are powerful stimulators for longitudinal growth of bone and require insulin-like growth factor binding protein (IGFBPs) which acts as a transport protein for IGF-1. A vegan diet with lower calorie intake in children has lower IGF-I levels than children with an omnivorous diet.Objective: Examining the effect of vegan diets on IGF-1 levels, IGFBP-3 levels, and growth velocity.Methods: This study was done with a prospective cohort design. The study subjects were divided into two groups, namely the vegan group and the omnivorous group, then matched based on age and sex. During the study, anthropometric data collection, IGF-1 and IGFBP-3 levels measurements were done in both vegan children and omnivorous children.Results: During 6 months of observation, 22 subjects were divided into two groups, namely children with a vegan diet and children with an omnivorous diet. IGF-1 (ng / mL) in vegan children was 105.5 ± 47.3 compared to 102.7 ± 42.3 in omnivorous children with a value of p = 0.89. IGFBP-3 (ng / mL) in vegan children was 2146.4 ± 595.1 compared to 2142 ± 609.1 in omnivorous children with value of p = 0.99 and Growth Velocity (cm / 6 months) was 3.0 in vegan children (1.0-5.30), and 3.2 (2.6-6.5) in omnivorous children with value of p = 0.41.Conclusion:Children with vegan diet had IGF-1 level, IGFBP-3 level, and growth velocity that were the same as children with an omnivorous diet.
Antioxidant and Elastase Inhibitor from Black Soybean (Glycine max L.) and Its Compound (Daidzein)
Authors: Juliana Cendy , Lister I Nyoman Ehrich , Girsang Ermi , Nasution Ali Napiah , Widowati Wahyu
Published: September 2020

Background: Skin aging occurs along with age. Genetic, nutrients, hormones, and sun exposure can affect directly and indirectly the structure of the skin. These things will induce an increase in free radicals which disrupts one of the most important enzymes in the extracellular matrix which is elastase enzyme. High enzyme synthesis will cause skin wrinkle. Free radicals can be inhibited by the presence of antioxidants. The plant contains natural phytochemical compounds which act as antioxidants and anti aging. Black soybeans are rich in daidzein compound, which protect against free radicals and prevent premature aging.Objective: This research evaluates the antioxidant and antiaging potential of Black Soybean (Glycine max L.) extract and its compound, daidzein.Methods: Analysis of antioxidants from black soybean extract and daidzein were carried out using ABTS scavenging activity assay. The antiaging assay was carried out through inhibition of elastase enzyme.Results: Black soybean extract had lower IC50 value of ABTS scavenging activity around 77.39±4.05 μg/ml better than daidzein with IC50 of 83.34±3.89 μg/ml. The results of elastase inhibition activity assay showed that daidzein compound has a lower IC50 value, 57.35±5.64 μg/ml compared to black soybean extract with IC50 value, 93.36±6.39 μg/ml.Conclusion: Black soybean extract had higher antioxidant. Daidzein had better elastase inhibition activity compared to black soybean extract.
Detection of icaAD Gene of Biofilm-Producing Staphylococcus aureus Carriage Isolates Obtained from Health Care Workers and Healthy Communities in Banyumas, Indonesia
Authors: Mahardhika Gembong Satria , Susanti Metta Ayu , Rujito Lantip , Anjarwati Dwi Utami
Published: September 2020

Background: Asymptomatic biofilm-producing Staphylococcus aureus carriage play a pivotal role as a reservoir pathogen and increase the transmission rate in hospital as well as in healthy community. Biofilm- producing S. aureus which is regulated by the the ica AD gene reduce the antimicrobial ability in eliminating the pathogen. Objective: The aim of this study was to detect the icaAD gene of biofilm-producing Staphylococcus aureus carriage isolates obtained from healthcare workers and healthy Community in Banyumas, Indonesia.Methods: This descriptive observational study enrolled 60 healthcare workers and 60 healthy communities in Banyumas district.  Antibiotic susceptibility test was using disc diffusion according to Clinical laboratory Standard Institute (CLSI) 2019. Biofilm-producing ability identified by using microtiter plate biofilm assay and the positivity of icaAD gene was performed by using PCR method.Results: The results showed that one of 60 healthcare workers (0,017%) showed MRSA, four of 60 healthcare workers (0,07%) were MSSA and 2 samples from community (0,03%) were MSSA. Total of 7 samples underwent biofilm examination,  one sample was moderate biofilm, two samples were weak biofilm, and four samples were no biofilm. It was known that three biofilm-producing S.aureus were positive ica A/D gene.Conclusion: The ica A/D gene was found positive in both biofilm-producing MRSA and MSSA strain from both healthcare workers group and the healthy communities group. The presence of icaAD genes in both strains shows the potential for antibiotic resistance in these strains regulated by different mechanisms.
A Rare Case of 18-year-old female with Primary Sclerosing Cholangitis, Mixed Connective Tissue Disease, Short Stature
Authors: Siahaan Fransisca Yustika Dewi , Purnomo Hery Djagat , Seno Khristophorus Heri Nugroho Hario , Hellmi Rakhma Yanti
Published: September 2020

Background: Primary sclerosing cholangitis (PSC) is a rare chronic immune-mediated liver disease affecting intra and extrahepatic bile ducts, in which inflammation and fibrosis are the main factors that lead to biliary stricture. The pathogenesis of this disease is still unclear. It happens approximately 0.5 to 1.3 cases per 100,000 person-years in Northern Europe. PSC is difficult to diagnose until complications arise. PSC can also be a manifestation of mixed connective tissue disease (MCTD) in the liver. A chronic immune disease that has occurred since childhood may result in delayed development and short stature. Case Presentation:   A 18-year-old female presented with icteric, anemia, short stature, and absence of menstruation. Laboratory and radiological findings suggested obstruction of intra and extrahepatic biliary duct (conjugated bilirubin 11,80 mg/dL), severe anemia, normal sex hormone levels, increased RNP/SM antibodies. Histopathology showed liver cirrhosis suggestive for primary sclerosing cholangitis. The patient then was given biliary stenting, transfusion of packed red cell, immunosuppresive, corticosteroid, ursodeoxycholic acid. Within a year of treatment, there was a significant decrease of direct bilirubin and improvement in symptoms.Conclusion: Patient with PSC, MCTD, and short stature is a very rare case. This is the first case that has been found in dr. Kariadi Hospital, Semarang. It has high mortality rate and difficult to diagnose and treat. According to multiple guidelines, this patient should have liver transplantation , but in this case, biliary stenting and oral treatments have resulted in an excellent outcome.
KERAPATAN DAN DISTRIBUSI LAMUN (SEAGRASS) BERDASARKAN ZONA KEGIATAN YANG BERBEDA DI PERAIRAN PULAU PRAMUKA, KEPULAUAN SERIBU
Authors: Feryatun Fiki
Published: September 2020

Lamun merupakan tumbuhan yang beradaptasi penuh untuk dapat hidup di lingkungan laut. Ekosistem lamun berperan penting di wilayah pesisir karena menjadi habitat penting untuk berbagai jenis hewan laut seperti ikan, moluska, crustacea, echinodermata. Penelitian yang dilakukan pada bulan April 2012 di Perairan Pantai Pulau Pramuka bertujuan untuk mengetahui komunitas lamun (jenis, kelimpahan, penutupan) dan distribusinya di berbagai zona di Perairan Pantai Pulau Pramuka, Kepulauan Seribu. Sampling dilakukan di tiga stasiun, yakni stasiun 1 (zona alami), stasiun 2 (zona pemukiman) dan stasiun 3 (zona resort wisatawan) menggunakan kuadran transek. Hasil yang didapatkan 7 jenis lamun yaitu Cymodocea rotundata, Cymodocea serrulata, Enhalus acoroides, Halodule uninervis, Halophila ovalis, Thalassia hemprichii dan Syringodium isoetifolium. Kerapatan lamun yang tertinggi diperoleh di stasiun 1 yaitu 1.620 individu/15m2. Berdasarkan Keputusan Menteri Negara Lingkungan Hidup No. 20 Tahun 2004 bahwa stasiun 1 (zona alami) dengan persentase penutupan 68% masuk kedalam kondisi sehat (penutupan > 60%), sedangkan untuk stasiun 2 (zona pemukiman) dan 3 (zona resort) dengan persentase masing-masing 59% dan 48% masuk dalam kategori kondisi kurang sehat (penutupan 30-59,9%). Pola sebaran (distribusi) lamun pada stasiun 1 mengelompok (cluster) dan seragam (uniform) untuk stasiun 2 dan 3, dengan demikian ada pengaruh dari kegiatan manusia terhadap komunitas lamun.Kata kunci : Lamun, Kerapatan dan Distribusi, Zona kegiatanAbstractSeagrasses are plants adapted to live fully in the marine environment. Seagrass plays an important role in coastal areas due to critical habitat for many kinds of marine animals such as fish, mollusks, crustaceans, echinoderms. The research was conducted on April 9 to 22, 2012 at Pramuka Island Coastal Waters in order to know seagrass community (type, abundance, coverage) distribution in different activity zones. The method used transect quadrates in three stations, namely stations 1 (natural zone), station 2 (residential zone) and station 3 (tourist resort zone). The results obtained 7 seagrass species that was of Cymodocea rotundata, Cymodocea serrulata, Enhalus acoroides, Halodule uninervis, Halophila ovalis, Thalassia hemprichii and Syringodium isoetifolium. The highest seagrass density was in station 1 the total 1620 individuals/15m2. Based on the Ministry of Environment No. 20 In 2004 the station 1 (natural zone) was in healthy condition (coverage > 60%), while for station 2 (residential zone) and 3 (resort zone) were in the category of unhealthy conditions (coverage 30 to 59,9%). The pattern of distribution of seagrass at stations 1 was clumped, however distribution it was cluster at station 2 and 3, thus there is the influence of human activities on seagrass communities.Keywords : Seagrass, Density and Distribution, Activity zones
HUBUNGAN ANTARA TOTAL BAKTERI DENGAN BAHAN ORGANIK, NO3 DAN H2S PADA LOKASI SEKITAR ECENG GONDOK DAN PERAIRAN TERBUKA DI RAWA PENING
Authors: Purwandari Yusrianti , Purnomo Pujiono Wahyu , Nitisupardjo Mustofa
Published: September 2020

Fenomena eutrofikasi di perairan Rawa Pening dapat dikatakan telah mencapai tahap akut. Hal ini dapat dilihat dari melimpahnya populasi tanaman Eceng Gondok (Eichhornia crassipes) yang menutupi sebagian kawasan Rawa Pening. Pertumbuhan Eceng Gondok yang tidak terkendali akan mempengaruhi ekosistem danau Rawa Pening.Hal tersebut dapat mengakibatkan terjadinya defisit oksigen (O2) dan terganggunya proses nitrifikasi. Apabila hal ini terjadi secara terus-menerus dapat terjadi potensi bahaya pendangkalan. Proses nitrifikasi sendiri tidak terlepas dari bakteri, proses nitrifikasi merupakan proses yang mengubah ammonia menjadi nitrat dengan bantuan bakteri. Penelitian ini menggunakan metode studi kasus dan metode sampling menggunakan purposive sampling. Lokasi penelitian terdiri dari 2 stasiun yaitu kawasan perairan terbuka dan kawasan tutupan Eceng Gondok. Data yang diukur meliputi total bakteri, bahan organik, NO3, H2S, kedalaman, kecerahan, arus, suhu, pH dan DO. Hasil penelitian menunjukkan bahwa kandungan bahan organik tergolong tinggi. Hal ini berbanding lurus dengan total bakteri di perairan Rawa Pening yang tinggi. Kandungan NO3 pada perairan iniberkisar antara  0,088 – 0,279  mg/l. Sedangkan kandungan H2S berkisar antara 0,009 – 0,015 mg/l.
DISTRIBUSI DAN KELIMPAHAN GASTROPODA PADA HUTAN MANGROVE TELUK AWUR JEPARA
Authors: Silaen Inchan Faolo , Hendrarto Boedi , Nitisupardjo Mustofa
Published: September 2020

Teluk Awur Jepara merupakan pesisir yang memiliki hutan mangrove yang dijadikan permodelan untuk program rehabilitasi mangrove. Untuk pengelolaan kawasan hutan mangrove secara terpadu perlu diketahui keberadaan biota yang ada di dalamnya. Gastropoda merupakan penghuni tetap hutan mangrove dengan informasi yang masih kurang  sehingga perlu dilakukan penelitian tentang kelimpahan dan distribusi gastropoda di dalam hutan mangrove tersebut. Pengambilan sampel menggunakan 3 buah Line Transect sepanjang 100 m dengan jarak 30 m. Line ditempatkan tegak lurus dengan garis pantai. Pengamatan vegetasi mangrove menggunakan metode transek yang berukuran 10x10 m2 yaitu untuk pengamatan tingkat pohon, 5x5 m2 sebanyak dua buah dan 1x1 m2 sebanyak lima buah untuk pengamatan vegetasi mangrove tingkat pancang dan semai. Pengambilan data sampel gastropoda menggunakan kuadran 1x1 m2 sebanyak lima buah yang ditempatkan secara acak pada kuadran 10x10m2. Jenis gastropoda yang ditemukan di hutan mangrove Teluk Awur Jepara didapat 16 jenis yaitu  Cerithidea cingulata, Cerithidea cingulata cingulata, Cerithidea quadrata, Cerithidea obtusa, Litorina carinifera, Littorina angulifera, Littorina scabra, Casidula nucleus, Casidula aurisfelis, Casidula multiflicata, Melampus nuxcastaneus, Melampus coffeus, Telescopium telescopium, Sphaerassiminea miniata, Neritina violacea dan Pythia plicata. Vegetasi mangrove yang paling mendominasi adalah Rhizophora mucronata baik pada tingkat pohon, pancang, dan semai. Jenis gastropoda yang paling melimpah dan mendominasi adalah Cerithidea cingulata dan Casidula nucleus. Cerithidea cingulata lebih mendominasi pada daerah mangrove terbuka sedangkan Casidula nucleus mendominasi pada daerah mangrove tertutup yaitu pada daerah mangrove yang lebih rapat. Distribusi gastropoda pada umumnya mengelompok. Keberadaan gastropoda pada hutan mangrove dipengaruhi oleh vegetasi hutan mangrove.
PENGARUH PENGGUNAAN ALAT TANGKAP IKAN HIAS RAMAH LINGKUNGAN TERHADAP TINGKAT KERUSAKAN TERUMBU KARANG DI GOSONG KARANG LEBAR KEPULAUAN SERIBU
Authors: Marwadi Alifhannizar , Anggoro Sutrisno , Suryanti -
Published: September 2020

Terumbu karang merupakan ekosistem pesisir yang memiliki produktivitas tinggi. Banyak ancaman yang mempengaruhi kehidupan karang, salah satunya adalah aktivitas penangkapan ikan hias laut. Penelitian ini menggunakan metode studi kasus dan observasi, yaitu dengan membandingkan data tutupan karang di area tangkap ikan hias perairan Gosong Karang Lebar Kepulauan Seribu yang telah diambil pada tahun 2003, 2005, 2007, 2009 dan 2011 oleh Yayasan Terumbu Karang Indonesia. Perbandingan data tutupan karang tersebut nantinya digunakan untuk mengetahui perbedaan tingkat kerusakan terumbu karang sebelum diterapkannya alat tangkap ikan hias ramah lingkungan yaitu sebelum tahun 2006 dan setelah diterapkan alat tangkap ikan hias ramah lingkungan yaitu tahun 2006 sampai sekarang. Dari hasil analisis statistik independent sample t-test didapatkan nilai Probabilitas/ Sig. (2-tailed) sebesar 0,458. Hal ini berarti probabilitasnya di bawah taraf signifikansi 0,46. Maka H0 ditolak atau dapat dinyatakan bahwa persentase tutupan karang sebelum dan setelah adanya penerapan alat tangkap ikan hias ramah lingkungan berbeda. Hasil statistik deskriptif menunjukkan adanya peningkatan rata-rata persentase tutupan karang setelah adanya penerapan alat tangkap ikan hias ramah lingkungan adalah sebesar 34.2075%. Nilai ini lebih tinggi dibandingkan persentase tutupan karang sebelum adanya penggunaan alat tangkap ikan hias ramah lingkungan yaitu sebesar 27.7100%.
ANALISIS KELIMPAHAN PERIFITON PADA KERAPATAN LAMUN YANG BERBEDA DI PERAIRAN PULAU PANJANG, JEPARA
Authors: Novianti Merlyna , Suprapto Djoko , Widyorini Niniek
Published: September 2020

Perifiton merupakan jasad – jasad yang dapat hidup melekat pada permukaan daun lamundengan demikian penelitian ini ditekankan untuk mengetahui struktur komunitas perifiton pada komunitas lamun serta membedakannya pada setiap jenis lamun. Hasil penelitian ini diharapkan dapat memberikan gambaran tentang keberadaan perifiton pada komunitas lamun dalam menunjang fungsi-fungsinya di perairan Pulau Panjang, Jepara sebagai areal konservasi. Kegiatan penelitian dilaksanakan pada antara bulan Juni - Juli 2012 selama 1 bulan di pantai perairan Pulau Panjang, Jepara, Jawa tengah. Proses mengidentifikasi diadakan di laboratorium Fakultas Perikanan dan Kelautan. Metode yang digunakan adalah pengambilan sampel lamun dan perifiton dengan menentukkan tiga titik pengambilan sampel lamun dengan kepadatan jarang, sedang dan padat serta pengukuran .  Jenis Perifiton yang paling banyak ditemui di pada perairan Pulau Panjang pada rata-rata kerapatan berasal dari kelas Bacillariophyceae yaitu berkisar antara 63.134-98.910 ind/cm2, perifiton dengan kelimpahan relatif tertinggi adalah Nizchia sp berkisar 32,26-34,18 % Persen penutupannya pada kerapatan sedang yaitu 39,08%, pada kerapatan padat yaitu 45,01% dan pada kerapatan jarang yaitu 15,89%. Pada sampel daun lamun yang diambil secara acak, ditemukan 16 spesies dengan indeks keanekaragaman (H’) perifiton pada kerapatan jarang mempunyai nilai indekskeanekaragaman sebesar 2,35 dengani keseragamannya sebesar 0,84 kerapatan sedang sebesar 2,39 dan keseragaman (e) sebesar 0,86 dan perifiton pada kerapatan padat mempunyai nilai indeks keanekaragaman  2,45 dan keseragaman 0,87.
ANALISIS PERBEDAAN MORFOLOGI DAN KELIMPAHAN KARANG PADA DAERAH RATAAN TERUMBU (Reef Flate) DENGAN DAERAH TUBIR (Reef Slope) DI PULAU PANJANG, JEPARA
Authors: Septyadi Kiai Agoes , Ruswahyuni - , Widyorini Niniek
Published: September 2020

Pulau Panjang merupakan kawasan wisata di Jepara yang memiliki potensi salah satunya adalah ekosistem terumbu karang. Ekosistem terumbu karang mempunyai fungsi ekologis yaitu sebagai habitat untuk berkembang biak, mencari makan dan berlindung bagi biota lain. Terumbu karang juga mempunyai fungsi melindungi pantai dari hempasan ombak dan arus laut. Selain itu keindahan alam laut dan terumbu karang sendiri dapat meningkatkan taraf hidup masyarakat sebagai daerah pariwisata bahari.Tujuan dari penelitian ini adalah untuk mengetahui perbedaan morfologi karang pada zona rataan (reef flat) dengan terumbu karang daerah tubir (reef slope) di perairan pulau Panjang, Jepara. Dan mengetahui kelimpahan terumbu karang pada zona rataan (reef flat) dan terumbu karang pada zona tubir (reef slope) di perairan pulau Panjang, jepara. Metode yang digunakan dalam penelitian ini adalah metode survei. Dimana metode yang digunakan tergolong dalam metode survei yang bersifat deskriptif. Metode yang digunakan pada pengambilan data adalah Line Intercept Transect (LIT). Penelitian dilakukan pada dua lokasi yaitu daerah rataan terumbu dan daerah tubir. Panjang line transek adalah 10 m, di letakkan sejajar garis pantai, transek yang digunakan di daerah rataan terumbu sebanyak 3 line dan daerah tubir sebanyak 3 line. Jarak antara line dimasing-masing lokasi sampling 5 m.Hasil penelitian jenis karang yang ditemukan di rataan terumbu dan tubir yaitu  adalah jenis Porites sp., Acropora sp., Echinopora sp., Turbinaria sp., Goniastrea sp., Pavona  sp., Favites sp., Leptoseries sp., Pectinia sp., dan Goniopora sp. Prosentase penutupan karang hidup tertinggi di rataan terumbu yaitu jenis Porites sp. 26,73% , Goniastrea sp. 4,10% dan Acropora sp 3,67%. Sedangkan presentase penutupan karang hidup tertinggi di tubir yaitu jenis Porites  sp. 35,67%, Echinopora sp. 6,50% dan Acropora sp. 6,33%. Nilai prosentase penutupan karang hidup di daerah rataan terumbu sebesar 36,40% yang termasuk dalam kategori sedang. Sedangkan nilai prosentase penutupan karang hidup di tubir sebesar 65,50% termasuk kategori baik. Pada rataan terdapat jenis morfologi Acropora yaitu  jenis Acropora Branching (ACB) sebesar 3,67%, sedangkan pada tubir  sebesar 6,33%. Jenis morfologi yaitu jenis Acropora terdapat satu jenis yaitu Acropora Branching (ACB), Baik daerah rataan dan tubir.  Sedangkan untuk non Acropora yang paling banyak adalah jenis Coral Encrusting (CE) baik pada rataan dan tubir.
KELIMPAHAN NUDIBRANCHIA PADA KARANG BERCABANG DAN KARANG BATU DI PANTAI PANCURAN BELAKANG PULAU KARIMUNJAWA JEPARA
Authors: Kusuma Rizky Chandra , Ruswahyuni - , Subiyanto -
Published: September 2020

Nudibranchia adalah salah satu Moluska tidak bercangkang yang seringkali berwarna terang dan mencolok. Nudibranchia memanfaatkan karang sebagai feeding ground dan spawning ground, tanpa mengganggu kehidupan karang. Tujuan penelitian ini yaitu mengetahui kelimpahan dan perbedaan Nudibranchia yang terdapat pada daerah karang bercabang dan karang batu. Penelitian ini dilaksanakan pada bulan Maret 2013 di Pantai Pancuran Belakang, Pulau Karimunjawa. Metode yang digunakan dalam pengambilan data menggunakan metode line transek sepanjang 50 meter sejajar garis pantai dan kuadran transek dengan ukuran 2 x 2 meter. Hasil penelitian didapatkan Penutupan substrat perairan dimasing-masing lokasi paling banyak tertutupi oleh karang hidup yaitu pada daerah karang bercabang 64,48% dengan jumlah Nudibranchia sebanyak 38 ind/300m2. Pada daerah karang batu sebesar 75,87% dengan jumlah Nudibranchia 50 ind/300m2. Terdapat 5 jenis Nudibranchia di lokasi penelitian yaitu Chromodoris lineolata, Phyllidia varicosa, Phyllidiella nigra, Thuridilla lineolata dan Thuridilla sp. Pada Uji Independent T-Test, rata-rata kelimpahan Nudibranchia pada karang bercabang dan batu adalah sama. Hal ini membuktikan bahwa kelimpahan Nudibranchia sangat dipengaruhi oleh adanya terumbu karang dan tidak berbeda antara karang bercabang (branching) dan karang batu (massive).
PERTUMBUHAN DAN LAJU MORTALITAS LOBSTER BATU HIJAU (Panulirus homarus) DI PERAIRAN CILACAP JAWA TENGAH
Authors: Bakhtiar Nurul Mukhlish , Saputra Suradi Wijaya , Solichin Anhar
Published: September 2020

Lobster merupakan salah satu komoditas unggulan yang memiliki nilai ekonomis tinggi. Tingginya intensitas penangkapan yang tidak terkendali menyebabkan ukuran rata - rata lobster yang tertangkap semakin kecil dan nilai ekonomisnya semakin rendah. Oleh karena itu, penelitian ini dilaksanakan untuk memberikan beberapa informasi mengenai aspek biologi lobster. Tujuan dari penelitian ini antara lain untuk mengetahui pertumbuhan, laju mortalitas, dan pola rekrutmen lobster. Penelitian ini dilaksanakan pada Bulan September sampai Bulan Januari di Perairan Cilacap. Penelitian ini menggunakan metode deskriptif dengan teknik pengambilan data simple random sampling. Lobster yang didaratkan di TPI Menganti dan Sentolokawat diambil seluruh hasil tangkapan kemudian dilakukan identifikasi, pengukuran panjang, dan penimbangan berat. Data diambil setiap satu bulan sekali selama lima bulan. Data dianalisis ukuran pertama kali tertangkap, faktor kondisi, nisbah kelamin, hubungan panjang-berat, pendugaan parameter pertumbuhan, laju mortalitas, dan pola rekrutmen. Didapatkan hasil ukuran pertama kali tertangkap (L50%=43,5mm) kurang dari setengah panjang asimtotik (½L∞=55,5mm). Hubungan panjang-berat lobster jantan yaitu W = 0,00293 L2,71 dan lobster betina W = 0,00196 L2,83. Faktor kondisi pada lobster jantan (1,02) dan betina (1,01) mempunyai tingkat kemontokan yang sama. Nisbah kelamin yang didapatkan antara lobster jantan dibanding lobster betina yaitu 1,774 : 1. Hasil uji chi square antara jantan dan betina didapatkan berbeda nyata sehingga dapat dinyatakan tidak seimbang. Persamaan pertumbuhan Von Bertalanffy lobster jantan Lt =110(1-e-0,31(t+0,37)) dan lobster betina Lt=94,5(1-e-0,26(t+0,47)), sehingga dapat dinyatakan pertumbuhan lobster jantan lebih cepat daripada lobster betina. Mortalitas total (Z) didapatkan sebesar 1,6 per tahun, mortalitas alaminya (M) sebesar 0,69 per tahun, mortalitas penangkapan (F) sebesar 0,91 per tahun. Tingkat eksploitasi (E) didapatkan sebesar 0,57 per tahun sehingga dapat dikategorikan termasuk dalam keadaan penangkapan berlebih. Pola penambahan baru lobster di Perairan Cilacap ini memiliki dua puncak yaitu pada bulan Juni dan Oktober. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa penangkapan lobster P. homarus sudah dalam keadaan growth overfishing yang dikhawatirkan akan mengarah kepada recruitment overfishing.
HUBUNGAN KANDUNGAN NITRAT DAN FOSFAT DENGAN DENSITAS ZOOXANTHELLAE PADA POLIP KARANG Acropora sp. DI PERAIRAN TERUMBU KARANG PULAU MENJANGAN KECIL, KARIMUN JAWA
Authors: Pangaribuan Tumpal Hasudungan , Soedarsono Prijadi , Ain Churun
Published: September 2020

Terumbu karang merupakan ekosistem pesisir yang memiliki produktivitas tinggi. Nutrien merupakan salah satu faktor penentu terpeliharanya produktivitas perairan. Adanya asumsi ketersediaan cahaya, keberadaan zooxanthellae dan nutrien menjadi faktor yang penting. Permasalahannya adalah, apakah dukungan ini didapatkan dari ketersediaan nutrien di lingkungan perairan atau di dalam polip karang. Terkait dengan hal tersebut, maka penelitian ini akan mempelajari dukungan nutrien di dalam polip karang dan pengaruhnya terhadap keberadaan zooxanthellae. Tujuan penelitian ini untuk mengetahui kondisi penutupan karang di daerah pulau Menjangan Kecil, mengetahui total nitrat dan total fosfat, densitas zooxanthellae, hubungan kandungan antara total nitrat dan total fosfat terhadap densitas zooxanthellae di polip karang Acropora sp. di perairan terumbu karang pulau Menjangan kecil, Karimun Jawa. Metode yang digunakan adalah metode deskriptif eksplanatif. Hasil penelitian menunjukkan bahwa penutupan karang di perairan pulau Menjangan Kecil stasiun I 73,6% kategori baik dan stasiun II 76% kategori sangat baik. Terdapat hubungan antara kandungan nitrat dan fosfat pada polip karang Acropora sp. dengan densitas zooxanthellae. Pada sampel polip di dapat densitas zooxanthellae sebesar : 44 × 106 sel/ml - 78,5 × 106  sel/ml. Pengukuran nitrat pada sampel polip di dapat hasil sebesar: 14,78% - 21,09%. Pengukuran kandungan fosfat, pada sampel polip di dapat hasil sebesar: 23,4% - 28,18%. Nilai koefisien determinasi R2 antara total nitrat dengan densitas zooxanthellae sebesar 0,939 dimana mengandung pengertian pengaruh total nitrat terhadap densitas zooxanthellae adalah 93,9 %. Koefisien determinasi R2 antara total Fosfat dengan densitas zooxanthellae sebesar 0,514 dimana mengandung pengertian pengaruh total fosfat terhadap densitas zooxanthellae adalah 51,4 %. Hal ini mengindikasi semakin tinggi kandungan nitrat dan fosfat maka semakin tinggi pula densitas zooxanthellae di dalam polip karang Acropora sp. dan parameter kualitas air diukur sebagai data pendukung.
ANALISA SEBARAN SPASIAL IKAN CUCUT (Ordo Rajiformes) BERDASARKAN VARIASI KEDALAMAN DI PERAIRAN LAUT JAWA
Authors: Fakhrurrizal Richan , Hutabarat Sahala , Hartoko Agus
Published: September 2020

Ikan cucut atau hiu termasuk dalam kategori ikan-ikan bertulang rawan (elasmobranchii). Cucut merupakan ikan demersal sehingga perlu diketahui kedalaman suatu perairan untuk mengetahui habitatnya. Kedalaman tersebut dapat diketahui dengan menggunakan penginderaan jauh. Penginderaan jauh merupakan suatu cara pengamatan objek tanpa menyentuh objek secara langsung. Tujuan penelitian adalah mengetahui perkembangan hasil tangkapan cucut, sebaran kedalaman di laut Jawa, dan hubungan antara sebaran kedalaman dengan hasil tangkapan cucut. Metode yang digunakan dalam penelitian ini adalah metode eksploratif. Pengambilan data menggunakan metode purposive sampling. Pertimbangan pengambilan data didasarkan pada hasil wawancara dengan nelayan setempat dan ketersediaan data produksi hasil tangkapan cucut yang dilengkapi titik koordinat lokasi penangkapan dari PPN Kejawanan pada tahun 2011 – 2012 adalah yang paling memadai, serta dilakukan pula analisa kedalaman yang berasal dari data batimetri laut Jawa. Analisis data yang digunakan adalah analisis korelasi antara kedalaman dengan hasil tangkapan cucut untuk mengetahui hubungan sebaran spasial ikan cucut dengan variasi kedalaman, didukung dengan studi pustaka tentang habitat ikan cucut. Hasil dari penelitian ini menunjukkan bahwa hasil tangkapan Cucut Junjunan (Rhynchobatus djiddensis) tertinggi didapatkan pada musim barat tahun 2011 dengan total hasil tangkapan 7440 kg, sedangkan tangkapan Cucut Depo (Rhinobatos schegelii) tertinggi didapatkan pada musim timur tahun 2011 dengan total hasil tangkapan 7383 kg. Variasi kedalaman di laut Jawa yang menunjukkan daerah penangkapan cucut pada musim timur berkisar antara 11 – 167 m, dengan kedalaman rata-rata 80 m pada daerah penangkapan cucut Depo. Kedalaman pada musim barat berkisar antara 14 – 134 m, dengan kedalaman rata-rata 50 m pada daerah penangkapan cucut Junjunan. Secara umum nilai koefisien korelasi (r) setiap jenis cucut yang didapat pada musim timur maupun musim barat adalah ≤ 0,5. Hal ini menunjukkan bahwa hubungannya rendah (tidak erat) yang berarti terdapat sedikit pengaruh kedalaman terhadap hasil tangkapan cucut di laut Jawa.