bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplicación del aprendizaje basado en problemas en el programa de Ingeniería Industrial: caso de estudio aplicado en el curso de Gestión de Cadenas de Suministro
Authors: Ruiz-Meza Jose-Luis , Castellanos-Adarme Mariel , Alzate-Ortiz Faber , Flórez-Gutiérrez Alfredo
Published: June 2021

El aprendizaje basado en problemas (ABP) es una estrategia didáctica orientada al enfoque por competencias dentro de las teorías constructivistas. El ABP genera en el estudiante un proceso de aprendizaje colaborativo, autoaprendizaje y aprendizaje significativo a partir de una situación problema contextualizada. Este tipo de metodología surge como respuesta de apoyo al proceso del cambio pedagógico que se da bajo el enfoque por competencias en la educación superior para generar un aprendizaje activo en los estudiantes. En este trabajo se desarrolló una metodología de cinco fases (identificación de situación problema, organización del trabajo para el aprendizaje colaborativo, seguimiento y apoyo al autoaprendizaje, construcción de soluciones aplicadas, y evaluaciones y retroalimentaciones) para aplicar el ABP en el curso de Gestión de Cadenas de Suministro dentro del programa de Ingeniería Industrial de la Corporación Universitaria del Caribe CECAR. Se realizó una revisión sistemática de literatura que identifica la baja tasa de aplicación de la metodología en la ingeniería industrial. Para la aplicación de la estrategia, se tomaron como base tres problemas contextualizados asociados a empresas de los sectores económicos que tienen mayor influencia en la generación del Producto Interno Bruto (PIB) de la región. El impacto académico en un total de cuatro grupos fue evaluado. Adicionalmente, se alcanzaron las competencias, los desempeños y los productos esperados en los cursos, obteniendo así una gran aceptación y eficiencia en la aplicación del ABP.
Work without Labor: Life in the Surround of a Rural Prison Town
Authors: Pearson Heath
Published: May 2021

This article challenges the idea that the U.S. prison boom is a federally driven fix. By assembling a two-hundred-year regional history of Cliptown, New Jersey—a rural town with five prisons and three police departments—the article indicates that prisons appear not as an external fix but as the most recent technological iteration of a homegrown system that has always functioned to capture labor through white supremacist domination. Locally historicizing the evolution of this dominating system, however, refuses to concede the final word to prisons and earlier confinement technologies, concluding, instead, in an alternative space that exceeds the capture of confinement, where formerly incarcerated people collaborate to expand freedoms and to practice being unavailable for confinement’s servitude.
Labors of Love: On the Political Economies and Ethics of Bovine Politics in Himalayan India
Authors: Govindrajan Radhika
Published: May 2021

This essay asks how conceptualizing love as work might provide a fresh perspective on love’s politics. In offering an ethnographic account of how love for Gau-Mata, the Cow-Mother of the idealized Hindu nation, fuels a right-wing Hindu nationalist politics of cow-protection in India’s central Himalayan state of Uttarakhand, I suggest that the specific arrangements of labor through which affective attachments are organized critically shape the ethics and politics of love. More specifically, I depict how different kinds of situated labor produced varied kinds of love in the conjoined social worlds of right-wing gau-rakshaks (cow-protectionists) and rural women dairy farmers in Uttarakhand. For these social actors, genuine love for the cow manifested in a willingness to labor for her. Yet their understandings of what this loving labor entailed differed starkly. This article examines three distinct kinds of work—protection, service, and care-labor—that these actors variously undertook out of love for the cow. It traces how these different labors produced a varied set of relationships, affiliations, and obligations that crucially shaped the ethics and politics of love. Ultimately, I show, attending to the varied labors of love in situated social worlds reveals how love can condition a variety of often conflicting political and ethical possibilities, working simultaneously as a force of transcendence, fascist violence, and repair.
Interference in Japanese Learning by First-Year Students of Hospitality Department in State Polytechnic Of Bali
Authors: Harisal Harisal
Published: May 2021

The second-language learning process is often constrained by the influence of mother tongue or first language-Acquisition learners, which is called interference. Interference is principal language irrelevance in bilingual due to one or more language to be introduced or Speech Communication. Based on its phenomenon, students of State Polytechnic of Bali are considered passive interference learners, putting their mother tongue (Javanese and Balinese) elements and Indonesian Language in Japanese consciously or intuitively. This study aims to disclose the type of interference by the hospitality program students for those studying Japanese in State Polytechnic of Bali and explain its factors. The method used is Descriptive Qualitative, which is concerned with taking document field notes and literature Review to represent the real phenomenon of passive Interference types. The population in this study were all students in State Polytechnic of Bali in Japanese class. In contrast, the sample was taken from the results of purposive sampling based on their 100% attendance. There were about 65 first-year or second Semester students in Japanese Class and showed their Interferences. The study results showed that about 75 Passive Interference has commonly occurred in grammatical cases, such as phonetics, morphology, and syntax. Moreover, the occurrence factors of Passive Interference are distinctive Phonetic Features, The Language pattern differences between Mother Tongues (Local Languages) – Japanese, and lack of Japanese Language Proficiency skills and its dictions.
ANALISIS SIX SIGMA DENGAN DECISION ON BELIEF CHART PADA PRODUK HOT STRIP MILL
Authors: Mumtaz Alifia Hanifah , Mustafid Mustafid , Sudarno Sudarno
Published: May 2021

The Decision On Belief (DOB) control chart is a univariate control chart that was initially introduced as a solution to the problem of less than optimal control limits from the shewhart attribute diagram, especially the control chart C. The new scheme based on the DOB control chart is that the calculation step , can change the data which initially is not normally distributed into a normal distribution, then can diagnose quality control process errors. . defines belief or an assumption in the new observation vector  and . The aim of this research is to apply the DOB control chart to data that is not normally distributed, so that it becomes a normal distribution. The result of the DOB control chart shows that the value of . is between the BKA and BKB values, which indicates a statistically controlled process. In this study, using one specification limit, namely the upper specification limit (USL) given by the company, which is 15 percent of the average production. The capability index used is  for 3 sigma using the transformation result . Based on the sample data, the result shows that the  value is 0.40633 and the sigma level is 2.719, so it can be concluded that the Hot Strip Mill production process is still not capable and has not reached the level of three sigma.Keywords: Six Sigma, Decision On Belief, capability index, , DPMO, level sigma.
PEMODELAN INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA BARAT, JAWA TIMUR DAN JAWA TENGAH TAHUN 2019 DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL
Authors: Sari Meylita , Purhadi Purhadi
Published: May 2021

Ordinal logistic regression is one of the statistical methods to analyze response variables (dependents) that have an ordinal scale consisting of three or more categories. Predictor variables (independent) that can be included in the model are category or continuous data consisting of two or more  variables. Human Development Index (HDI) is an indicator of the success of human development in a region and can be categorized into medium, high and very high. Based on the further categorization, in this study would like to know more about the HDI model using the Ordinal Logistic Regression method, with predictor variables that are suspected to affect, so that it is obtained in West Java Province is influenced by variable poverty rates and clean water sources with a classification accuracy value of 77.78%, Central Java Province is influenced by variable economic growth rate based on constant price GDP, poverty rate and open unemployment rate with a classification accuracy value of 82.85%. East Java province is influenced by variable poverty rate and open unemployment rate with a classification accuracy value of 76.31%. As well as in the three provinces in Java Island is influenced by variable economic growth rate, variable poverty rate, variable clean water source with a classification accuracy value of 73%. Keywords : Ordinal Logistic Regression, HDI, Classification Accuracy
PENANGANAN KLASIFIKASI KELAS DATA TIDAK SEIMBANG DENGAN RANDOM OVERSAMPLING PADA NAIVE BAYES (Studi Kasus: Status Peserta KB IUD di Kabupaten Kendal)
Authors: Fitriani Reza Dwi , Yasin Hasbi , Tarno Tarno
Published: May 2021

The Family Planning Program (KB) launched by the Government of Indonesia to address the problem of population control does not always produce the desired program results. In 2017, there were 7 users of the IUD contraceptive type of contraceptive who failed from 1,102 new IUD users in Kendal Regency so that the ratio of success and failure to the IUD KB program when compared to users of the new IUD KB is 0.64%: 99.36% . The ratio of success and failure of family planning programs which tend to be unbalanced makes it difficult to predict. One of the handling imbalanced data is oversampling, for example using Random Oversampling (ROS). Naive Bayes is used for classification because it’s easy and efficient learning model. The data in this study used 14 independent variables and 1 dependent variable. The results of this study indicate that the G-mean of Naive Bayes is less than 60%. The G-mean of ROS-Naive Bayes is 96.6%. It can be concluded that in this research, the ROS-Naive Bayes method is better than the Naive Bayes method for detecting the success status of IUD family planning in Kendal Regency. Keywords: Naive Bayes, Random Oversampling, G-mean
PEMILIHAN SMARTPHONE TERBAIK PENUNJANG KEGIATAN AKADEMIS MENGGUNAKAN METODE BWM DAN PENGEMBANGAN AHP
Authors: Zulfiandri Mochammad Iffan , Yasin Hasbi , Sudarno Sudarno
Published: May 2021

Multi-Criteria Decision Making (MCDM) is a decision-making method to determine the best alternative from several alternatives based on several certain criteria. One of the alternative decision-making methods that can be used is the Best Worst Method (BWM) and the Analytical Hierarchy Process (AHP). BWM makes structured pairwise comparisons and AHP breaks down complex problems into hierarchical structures. One of the decision-making problems that can be solved by the BWM and AHP methods is the problem of choosing a smartphone. Smartphones are one of the most widely used Information and Communication Technology (ICT) devices by Indonesians. The use of smartphones as ICT devices has benefits for the academic community, especially as a means of supporting academic activities. However, various types and mereks of smartphones are circulating, making users confused about choosing the best smartphone according to their needs. Therefore, a reliable method is needed to make it easier for users to choose the best smartphone, especially in supporting academic activities, namely by using a combination of the BWM method and AHP development. The BWM method is used to calculate the optimal weight of the criteria and the AHP method that has been developed is used to calculate the alternative optimal weight based on the criteria. The combination of the two is used to calculate the final optimal weight for each alternative. The results of the calculation of the optimal weight of the criteria show that the RAM criterion has the highest weight, which is 0.290 and the Screen Size criterion has the lowest weight, which is 0.047. The final result obtained is a smartphone type OPPO Find X2 with a final optimal weight of 0.153 to be the best alternative among other alternatives.  Keywords: Multi-Criteria Decision Making (MCDM), Best Worst Method (BWM), Analytical Hierarchy Process (AHP), Information and Communication Technology (ICT), Smartphones, Academic Activities
PENENTUAN MODEL ANTREAN NON-POISSON DAN PENGUKURAN KINERJA PELAYANAN BUS RAPID TRANSIT TRANS SEMARANG (STUDI KASUS: SHELTER PEMBERANGKATAN BRT KORIDOR V)
Authors: Ayuningtyas Purwati , Sugito Sugito , Maruddani Di Asih I
Published: May 2021

One of the queue systems that is often found  in daily life is the transportation service system, for example a queue system at the shelters departure of corridor V Bus Rapid Transit (BRT) Trans Semarang. Corridor V has three departure shelters, they are Shelter Victoria Residence, Shelter Marina, and Shelter Bandara Ahmad Yani. Corridor V was choosen, because of its high load factor on January to June 2019. Based on the observation, the service time at the departure shelter is usually longer than the normal shelter. This causes the rise of queue at the departure shelters. The queue at the departure shelters can hamper the arrival of BRT at the other shelters, so the application of the queue theory is needed to find out the extent of operational effectiveness at the departure shelters. The resulting queue model is the Non-Poisson queue model, the queue model for Victoria Residence Shelter: (DAGUM/GEV/1):(GD/∞/∞), Marina Shelter: (DAGUM/G/1):(GD/∞/∞), and Bandara Ahmad Yani Shelter: (GEV/GEV/1):(GD/∞/∞). Based on the value from measurement of the queue system performance, it can be conclude that the three departure shelters of corridor V BRT Trans Semarang have some optimal condition. Keywords: Shelter Departure of Corridor V, Non-Poisson Queueing Model, Dagum, Generalized Extreme Value, System Perfomance Measure
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMA BERAS RASKIN MENGGUNAKAN REGRESI LOGISTIK BINER DENGAN GUI R
Authors: Parsaulian Agustinus Salomo , Tarno Tarno , Ispriyanti Dwi
Published: May 2021

The Rice Subsidy Program for Low-Income Communities or the Raskin Program is one of the government's programs to eradicate poverty. However, in practice, determining the criteria for Raskin recipients is a complicated problem. The Raskin program is a cross-sectoral national program both horizontally and vertically, to help meet the rice needs of low-income citizens. Determining the criteria for Raskin recipients is often a complicated issue. This study aims to analyze the classification of the Target Households (RTS) for the Raskin Program. The method used is binary logistic regression by utilizing R GUI. Binary logistic regression method is a method to find the relationship between independent and dependent variables, with a binary or dichotomous dependent variable. The data used is the March 2018 National Socio-Economic Survey (Susenas) data for Brebes Regency. The independent variables used in this study are the criteria for determining poor households, namely the area of the house, floor type of the house, wall type of the house, defecation facilities, lighting used, fuel used, ability to buy meat/milk, education level of the head of the household, and the capacity of installed electricity in the main residence. The results of the analysis show that in the final model, the variables that significantly affect the classification of RTS are the ability to eat healthy food, the capacity of installed electricity in the main residence, the education level of the head of the household, and defecation facilities with an accuracy value of 85.4%.Keywords: Raskin Program, Binary Logistic Regression, R GUI
GRAFIK PENGENDALI MIXED EXPONENTIALLY WEIGHTED MOVING AVERAGE – CUMULATIVE SUM (MEC) DALAM ANALISIS PENGAWASAN PROSES PRODUKSI (Studi Kasus : Wingko Babat Cap “Moel”)
Authors: Resti Aulia , Widiharih Tatik , Santoso Rukun
Published: May 2021

Quality control is an important role in industry for maintain quality stability.  Statistical process control can quickly investigate the occurrence of unforeseen causes or process shifts using control charts. Mixed Exponentially Weighted Moving Average - Cumulative Sum (MEC) control chart is a tool used to monitor and evaluate whether the production process is in control or not. The MEC control chart method is a combination of the Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) charts. Combining the two charts aims to increase the sensitivity of the control chart in detecting out of control. To compare the sensitivity level of the EWMA, CUSUM, and MEC methods, the Average Run Length (ARL) was used. From the comparison of ARL values, the MEC chart is the most sensitive control chart in detecting out of control compared to EWMA and CUSUM charts for small shifts. Keywords: Grafik Pengendali, Exponentially Weighted Moving Average, Cumulative Sum, Mixed EWMA-CUSUM, Average Run Lenght, EWMA, CUSUM, MEC, ARL
PEMBENTUKAN DAN PENGUKURAN KINERJA PORTOFOLIO EFISIEN DENGAN METODE CONSTANT CORRELATION MODEL MENGGUNAKAN GUI MATLAB (Studi Kasus: Kelompok Saham pada Indeks JII, LQ45, dan INFOBANK15)
Authors: Eka Atmaja Muhammad Zidan , Prahutama Alan , Ispriyanti Dwi
Published: May 2021

Investment is an important part of financial management that is widely known by the public. One example of an investment is a stock, stock is favored by investors because many of companies issue stock investment. investors goal from investment are to get funds that have been invested. Besides advantage, investors also have to face risks that can befall on him. Risk in investment can be minimized by diversification, for example by forming a portfolio. A good portfolio is an efficient portfolio, which is a portfolio that has a high rate of return with minimal risk. One of the way to to form an efficient portfolio is the Constant Correlation Model (CCM) method. The CCM method focuses on Excess return to Standard Deviation (ERS) and correlation between paired stocks. And to measure the portfolio formed can be measured by the Sharpe Ratio. GUI MATLAB program was formed to make it easier to find portfolio from the CCM method. This research uses stock data on the stock index JII, LQ45, and INFOBANK15 with interest rate of SBI period 2 October 2017-30 December 2019. Based on the results and discussion with manual calculations and GUI MATLAB, it can be concluded that percentage of weight, expected return, risk, and Sharpe index produce the same numbers. Keywords: Stock, Efficient Portfolio, Constant Correlation Model, Sharpe Ratio
ANALISIS METODE BAYESIAN PADA SISTEM ANTREAN PELAYANAN LOKET TIKET STASIUN TAWANG SEMARANG
Authors: Salsabela Aurum Anisa , Sugito Sugito , Warsito Budi
Published: May 2021

Jamming is one of the serious problem in Indonesia caused by the increase of vehicle. The government has made solution for this situation for example was public transportation. Train is one of the suitable public transportation because of the ticket price was cheap. Tawang Railway Stasion Semarang was the biggest railway station in Semarang. In the specific day such long holiday or celebrating day, many people have chosen train to bring them. This make a queuing situation on the counter of station. Queue theory models provide the random of arrival and service time. The Bayesian theory suits to handle the problem of queuing that has been working for several times. Based on the analysis of the queue models for customer service, self-print tickets, cancellation and ordering are (G/G/c):(GD/∞/∞) from the posterior distribution with combination from prior distribution and likelihood sample. The combination of prior distribution and likelihood sample used in this research is Poisson distribution for all ticket counter except the arrival for cancellation counter which Normal distribution. The likelihood sample used Poissonn distribution for all ticket counter, except for self-print tickets which Diskrit Uniform Distribution.  Queue models can be used to count the size of the system performance. Based on the calculations and analysis, it can be concluded that the queueing system to the customer service, self-print tickets, cancellation and ordering have been good because its steady state and busy probability is higher than jobless probability. Keywords: Tawang Railway Station, Queue, Bayesian, size of the system performance
PENGUKURAN KINERJA PORTOFOLIO OPTIMAL SAHAM LQ45 MENGGUNAKAN METODE CAPITAL ASSET PRICING MODEL (CAPM) DAN LIQUIDITY ADJUSTED CAPITAL ASSET PRICING MODEL (LCAPM)
Authors: Safitri Kristika , Tarno Tarno , Hoyyi Abdul
Published: May 2021

Investment is planting some funds to get profit and the stock is one of the type of investment in fincancial that the most interested for investors. To avoid the risk of investing, investors try to diversify their invesments by using portfolio. Stock portfolio is investment which comprised of various stocks from different companies, with the expect when the price of one stock decreases, while the other increases, then the investments do not suffer losses. Models that can be used to make a portfolio, one of them is Capital Asset Pricing Model (CAPM)  and Liquidity Adjusted Capital Asset Pricing Model (LCAPM). CAPM is a model that connects expected return with the risk of  an asset under market equilibrium condition. LCAPM is a method of new development of the CAPM model which is influenced by liquidity risk. To  analyze whether the formed portfolio have a good performance or not, so portfolio perfomance assessment will be done by using The Sharpe Index. This research uses data from closing prices, transaction volume and volume total of LQ45 Index stock on period March 2016-February 2020 and then data of JCI and interest rate of central bank of the Republic of Indonesia. Based on The Sharpe Index, optimal portfolio is LCAPM model portfolio with 3 stock composition and the proportion investment are 32,39% for LPPF, 49,86% for SRIL and  17,75% for TLKM. Keywords: LQ45 Index, Portfolio, Capital Asset Pricing Model (CAPM), Liquidity Adjusted Capital Asset Pricing Model (LCAPM), The Sharpe Index.
PENERAPAN SEASONAL GENERALIZED SPACE TIME AUTOREGRESSIVE SEEMINGLY UNRELATED REGRESSION (SGSTAR SUR) PADA PERAMALAN HASIL PRODUKSI PADI
Authors: Pamularsih Leni , Mustafid Mustafid , Hoyyi Abdul
Published: May 2021

Ordinary Least Square (OLS) is general method to estimate Generalized Space Time Autoregressive (GSTAR) parameters. Parameter estimation by using OLS for GSTAR model with correlated residuals between equations will produce inefficient estimators. The method that appropriate to estimate the parameter model with correlated residuals between equations is Generalized Least Square (GLS), which is usually used in Seemingly Unrelated Regression (SUR). This research aims to build the seasonal GSTAR SUR model as model of rice yield forecasting in three locations by using the best weighting. Weights used are binary weights, inverse distance and normalization of cross correlation. Data which used in this research are the data of rice yield per quarter in three districts in Central Java, namely Banyumas, Cilacap and Kebumen. The data from the period of January 1981 to December 2014 as training data and the period of January 2015 to December 2018 as validation data. The resulting is a model that has a seasonal effect with the autoregressive order and the spasial order limited to 1 so the model formed is SGSTAR (41)-I(1)(1)3. The best model produced is the SGSTAR SUR (41)-I(1)(1)3 model with inverse distance weighting because it fulfills both assumptions, residuals white noise and residuals normally multivariate distribution. Additionally, it has the smallest MAPE value when compared the other weighting, that is 20%. This MAPE value indicates  that the accuracy rate of forecast is accurate.Keywords: Rice yield, Seasonal, GSTAR, SUR.
PEMODELAN GEOGRAPHICALLY WEIGHTED GENERALIZED POISSON REGRESSION (GWGPR) PADA KASUS KEMATIAN IBU NIFAS DI JAWA TENGAH
Authors: Sabtika Wahyu , Prahutama Alan , Yasin Hasbi
Published: May 2021

Maternal mortality is one indicator to describing prosperity in a country and indicator of women's health. Most of the maternal mortality caused by postpartum maternal mortality. The number of postpastum maternal mortality is events that the probability of the incident is small, where the incident depending on a certain time or in a certain regions with the results of the observation are variable diskrit and between variable independent each other that follows the Poisson distribution, so that the proper statistical method is Poisson regression. However, in Poisson regression model analysis sometimes assumptions can occur violations, where the value of variance is greater than the mean value called overdispersion. Generalized Poisson Regression (GPR) is one model that can be used to handle overdispersion problems. This modeling produces global parameters for all locations (regions), so to overcome this we need a method of statistical modeling with due regard to spatial factors. The analytical method used to determine the factors that influence the number of postpartum maternal mortality in Central Java that have overdispersion and there are spatial factors, is Geographically Weighted Generalized Poisson Regression (GWGPR) using the Maximum Likelihood Estimation method and Adaptive Bisquare weighting. Poisson regression and GPR modeling produces a variable percentage of pregnant women doing K1 which has a significant effect on the number of postpartum maternal mortality, while for GWGPR modeling is divided into four cluster in all regency/city in Central Java based on the same significant variable. From the comparison of AIC values, it was found that the GWGPR model is better for analyzing postpartum maternal mortality in Central Java because it has the smallest AIC value.Keywords: The Number of Postpartum Maternal Mortality, Overdispersion, Generalized Poisson Regression, Spatial, Geograpically Weighted Generalized Poisson Regression, AIC
EXPECTED SHORTFALL PADA PORTOFOLIO OPTIMAL DENGAN METODE SINGLE INDEX MODEL (Studi Kasus pada Saham IDX30)
Authors: Dewi Eis Kartika , Ispriyanti Dwi , Rusgiyono Agus
Published: May 2021

Stock investment is a commitment to a number of funds in marketable securities which shows proof of ownership of a company with the aim of obtaining profits in the future. For obtaining optimal returns from stock investments, investors are expected to form optimal portfolios. The optimal portfolio formation using the Single Index Model is based on the observation that a stock fluctuates in the direction of the market price. It shows that most stocks tend to experience price increases if the market share price rises, and vice versa. Selection of optimal portfolio-forming stocks on IDX30 using the Single Index Model method produces 4 stocks, that are BRPT (Barito Pacific Tbk.) with weight 31.134%, ICBP (Indofood CBP Sukses Makmur Tbk.) 17.138%, BBCA (Bank Central Asia Tbk.) 51.331% and SMGR (Semen Indonesia (Persero) Tbk.) 0.397%. Every investment must have a risk, for that investors need to calculate the possible risks that occur before investing. To calculate risk, Expected Shortfall (ES) is used as a measure of risk that is better than Value at Risk (VaR) because ES fulfill the subadditivity. At the 95% confidence level, the ES value is 23.063% while the VaR value is 10.829%. This means that the biggest possible risk that an optimal portfolio investor will receive using the Single Index Model for the next five weeks is 23.063%.Keywords : Portfolio, Single Index Model, Expected Shortfall, Value at Risk.
ANALISIS PENGARUH KEPUASAN TERHADAP LOYALITAS KONSUMEN SMARTPHONE SAMSUNG MENGGUNAKAN METODE PARTIAL LEAST SQUARE PADA MAHASISWA UNIVERSITAS DIPONEGORO SEMARANG
Authors: Putratama Jefferio Gusti , Prahutama Alan , Suparti Suparti
Published: May 2021

Smartphones are one of the electronic devices that are capable of experiencing fairly rapid development. The existence of this Smartphone is considered to be the most important item for used everyday. Samsung is one of the most popular smartphone brand in Indonesia. Based on data from the website of the Statcounter survey institute, it was found that the Samsung market share in Indonesia until August 2020 was in the top position, namely 24.19%. Samsung continues to make various innovations in order to continue to dominate the top of the smartphone sales segment. In addition, to provide consumer's satisfication so that consumer’s loyalty to the Samsung brand will be maintained. The purpose of this study is to make measurement models and structural models, as well as to test the relationship of customer satisfaction to consumer loyalty of Samsung smartphones using the SEM – PLS (Partial Least Square) method. This research was conducted on Diponegoro University students who have purchased and used a Samsung smartphone. This research was conducted on Diponegoro University students who have purchased and used a Samsung smartphone. This research has produced 4 latent variables with 18 measurement models and 2 structural models. Based on the 2 structural models formed, the result shows that the R2 value in the customer satisfaction model is 0.670. This indicates that the variable customer satisfaction can be explained by the variable product quality and price by 67%. Meanwhile, in the consumer loyalty model, the R2 value is 0.478. This indicates that the consumer loyalty variable can be explained by the consumer satisfaction variable of 47.8%. Keywords:    Samsung Smartphone, Consumer’s Satisfaction, Consumer’s Loyalty, Partial Least Square.
Hubungan Faktor Biotik dan Abiotik Terhadap Keanekaragaman Makrobentos di Hutan Mangrove Kabupaten Lombok Barat
Authors: Aryanti Nirmala Ayu , Wibowo Febri Arif Cahyo , Mahidi Mahidi , Wardhani Frita Kusuma , Kusuma I Komang Tri Wijaya
Published: May 2021

High human activity around the coastal area will affect the mangrove ecosystem and the biota such as macrobenthos. Benthic diversity can reflect conditions of mangrove ecosystem, that slow growth and sensitive to environmental changes. This study aims to determine the influence of biotic and abiotic environments on the macrobenthos in Cendi Manik Village, Sekotong District, West Lombok Regency, West Nusa Tenggara. Data collection of macrobenthos, biotic and abiotic environments in natural and rehabilitation mangrove, then the diversity species of macrobenthos with biotic and abiotic environmental variables were analyzed multiple regression. The most dominant vegetations are Rhizophora mucronata Lam and Avicennia marina Forssk. The diversity index for macrobenthos is low (H’ 1,207) in natural and rehabilitation mangrove. Macrobenthos between two location have high similarity with 84,6%. The result of multiple regression test showed that most influencing of macrobenthos were mud thickness and brightness.  Aktivitas manusia yang tinggi sekitar kawasan pesisir akan mempengaruhi ekosistem mangrove dan biota di dalamnya seperti makrobentos. Keanekaragaman bentos dapat mampu mencerminkan kondisi ekosistem mangrove, pertumbuhan yang lambat dan sensitif terhadap perubahan lingkungan. Penelitian ini bertujuan untuk mengetahui hubungan lingkungan biotik dan abiotik terhadap makrobentos yang ada di Desa Cendi Manik Kecamatan Sekotong Kabupaten Lombok Barat Nusa Tenggara Barat. Pengumpulan data makrobentos, biotik dan abiotik lingkungan pada hutan mangrove alam dan rehabilitasi, kemudian keanekaragaman jenis makrobentos dengan variabel lingkungan biotik dan abiotik dianalisis regresi berganda. Jenis vegetasi yang paling mendominasi adalah jenis Rhizophora mucronata Lam dan Avicennia marina Forssk. Keanekaragaman jenis makrobentos termasuk dalam kategori rendah (H’ 1,207) di hutan mangrove alam dan rehabilitasi. Jenis makrobentos antara dua lokasi tersebut memiliki kemiripan yang tinggi yaitu 84,6 %. Uji regresi berganda diperoleh variabel lingkungan yang paling berpengaruh pada keanekaragaman jenis makrobentos adalah ketebalan lumpur dan kedalaman kecerahan air.
Uji Aktivitas Antimalaria dari Spons Xestospongia sp. Asal Pulau Yapen secara In Vivo
Authors: Murtihapsari Murtihapsari , Roreng Mathelda K. , Parubak Apriani , Rahman Alif
Published: May 2021

It is generally admitted that marine sponge has rich of secondary metabolite as alkaloids, peptides and terpene. Those various compounds can be used for antimalarial drug.  This study aims to evaluate the in vivo antimalarial activity and to characterize the effectiveness of dose (ED50) of n-hexane extracted from Xestospongia sp. by using the Plasmodium berghei infected to mices. In the present study, we used Peter’s four day suppressive test, where the mice infected with Plasmodium berghei intra peritoneal with a suspension containing infected red blood cell origin from donor mice with parasitemia. Results of present study exhibited that the sponge Xestospongia sp. contains secondary metabolite including tritepenoid/steroid, alkaloid and saponin. Furthermore, an in vivo test revealed the affectivity dose (ED50) was 0.24 mg/kg of body weight. This finding is categorized a signifant decreasing level of parasitemia.   Secara umum, spons laut mempunyai kandungan metabolit sekunder seperti alkaloid, peptide dan terpena. Berbagai senyawa tersebut dapat dimanfaatkan sebagai obat antimalaria. Penelitian ini bertujuan untuk mengetahui kandungan kimia dan mengevaluasi aktivitas antimalarial secara in vivo untuk efektivitas dosis (ED50) ekstrak n-heksana dari spons Xestospongia sp. dengan menggunakan Plasmodium berghei yang diinfeksi ke tikus. Penelitian ini digunakan metode the 4-day Supresive Test, dimana mencit yang diinfeksi Plasmodium berghei secara intra peritoneal dengan suspensi yang mengandung sel darah merah terinfeksi yang berasal dari mencit donor. Hasil penelitian ini menunjukkan adanya kandungan metabolit sekunder diantaranya tritepenoid/steroid, alkaloid dan saponin. Selanjutnya, uji in vivo diperoleh nilai ED50 sebesar 0,24 mg/kg BB dikelompokan sangat baik, yang dapat menurunkan tingkat parasitemia secara signifikan. Dengan demikian, spons laut asal pulau Yapen dapat dijadikan sebagai sumber metabolit potensial untuk obat antimalaria.
Struktur Komunitas dan Kelimpahan Fitoplankton dan Zooplankton pada Musim Penghujan di Zona Intertidal Pantai Selatan Yogyakarta
Authors: Adharini Ratih Ida , Probosunu Namastra
Published: May 2021

Plankton is an organism that plays an important role as a water food reserve, which is influenced by environmental conditions. This study aims to determine the community structure, abundance and biodiversity of phytoplankton and zooplankton in the intertidal zone of south coast of Yogyakarta during the rainy season. The research was conducted at Pantai Drini, Kukup, and Sundak of Gunungkidul District during December 2016 - February 2017. Sampling was conducted on three observation stations in the intertidal zone of Drini Beach, Kukup, and Sundak twice a month. The water samples were taken with plankton nets number 25, then were fluidized in 4% formalin and stored at low temperatures. The results showed diversity index of plankton in Kukup Beach in January at 1.86 while the lowest value in February at Sundak Beach was 0.87. The highest plankton abundance in January at Sundak Beach was 900 individu L-1 while the lowest value in December at Kukup Beach was 217.8 individu L-1. Based on the diversity index of Shannon-Wiener, intertidal coast waters of Yogyakarta in wet season is categorized as moderate, and dominance index is categorized  as low. Plankton merupakan organisme yang berperan penting sebagai cadangan makanan perairan dan dipengaruhi oleh kondisi lingkungan. Penelitian ini bertujuan untuk mengetahui struktur komunitas, kelimpahan dan keanekaragaman plankton pada zona inertidal pantai selatan Yogyakarta selama musim penghujan. Penelitian dilakukan di Pantai Drini, Kukup, dan Sundak Kabupaten Gunungkidul selama bulan Desember 2016 – Februari 2017. Pengambilan sampel dilakukan pada tiga stasium pengamatan di zona intertidal Pantai Drini, Kukup, dan Sundak setiap dua minggu. Sampel air diambil dengan jaring plankton nomor 25, kemudian sampel plankton difiksasi dalam formalin 4% dan disimpan pada suhu rendah. Hasil penelitian menunjukan indeks keanekaragaman jenis plankton tetinggi di Pantai Kukup pada bulan Januari sebesar 1,86 sedangkan nilai terendah pada bulan Februari di Pantai Sundak sebesar 0,87. Kelimpahan plankton tertinggi pada bulan Januari pada Pantai Sundak sebesar 900 individu L-1 sedangkan nilai terendah pada bulan Desember di Pantai Kukup yaitu 217,8 individu L-1. Berdasarkan indeks keanekaragaman Shannon-Wienner maka indeks keanekaragaman di pantai selatan Yogyakarta tergolong rendah-sedang dengan indeks dominansi tergolong rendah.
Pemetaan Kompleksitas Habitat Dasar Perairan Menggunakan Data Batimetri di Perairan Pulau Kemujan Karimunjawa
Authors: Rahman Arip , Siregar Vincentius P. , Panjaitan James P.
Published: May 2021

The complexity of the substrate of the bottom waters describes the diversity of the bottom structure of the waters. The structure of the complexity of bottom waters can be measured by the rugosity. Manual method for measuring rugosity can be used chain method. Besides that rugosity can be calculated using bathymetry data using Surface Area from Elevation Grid Extension tools that integrated in ArcGIS which produces Arc-chord ratio (ACR) rugosity. Based on this method, a flat area has rugosity close to 1, while an area with high elevated will show rugosity value higher then 1 (>1). Measurement of the complexity of the bottom waters is carried out to see the condition of benthic habitat in the shallow waters of Kemujan Island, Karimunjawa Islands. Based on the rugosity index, conditions of bottom waters of the Kemujan Island are quite complex (ACR rugosity index, 2-2.044). The ACR rugosity index correlated quite well with the rugosity index of the field measurement (r = 0.76).  Kompleksitas dasar perairan menggambarkan keragaman struktur dasar perairan. Struktur kompleksitas suatu dasar perairan dapat diukur dengan tingkat kekasaran (rugosity) dasar perairan. Metode pengukuran rugosity secara manual dilakukan dengan menggunakan metode rantai (chain). Selain itu rugosity juga dapat dihitung dengan menggunakan data kedalaman dengan menggunakan Surface Area from Elevation Grid Extension yang terintegrasi pada ArcGIS yang menghasilkan Arc-chord ratio (ACR) rugosity. Berdasarkan metode ini daerah datar memiliki nilai rugosity mendekati 1, sedangkan area dengan relief tinggi akan menunjukkan nilai rugosity yang lebih tinggi (>1). Pengukuran kompleksitas dasar perairan dilakukan untuk melihat kondisi habitat dasar di perairan dangkal Pulau Kemujan Kepulauan Karimunjawa. Berdasarkan indeks rugosity, kondisi dasar perairan Pulau Kemujan memiliki kompleksitas yang cukup tinggi (indeks ACR rugosity 2-2.044). Hal tersebut menggambarkan kondisi dasar perairan di sekitar lokasi penelitian cukup beragam. Indeks rugosity ACR berkorelasi cukup baik dengan indeks rugosity hasil pengukuran lapangan (r=0.76).
Konservasi Genetik Ikan Kakap Putih (Lates calcarifer, Bloch, 1790) Melalui Pendekatan DNA Barcoding dan Analisis Filogenetik di Sungai Kumbe Merauke Papua
Authors: Saleky Dandi , Dailami Muhammad
Published: May 2021

Genetic data is very important as the basis for fisheries management and conservation related to connectivity between regions and population structure. White snapper Fish is one of the fish that has high economic value which is utilized either by its meat or by its swim bladder. This research was aimed to identify the species of white snapper fish were collected from the Kumbe River, Merauke Regency, Papua using the Cytochrome Oxidase I gene. The results shows that this sample is a species of Lates calcarifer, Bloch, 1790 with 100% similarity. The haplotype of white snapper fish from Merauke has similarities with the haplotype from Australia, Malaysia and China, this indicating that there is gene flow and connectivity among those locations. The phylogenetic tree explains the grouping of species based on genetic distance and the level of DNA Sequences similarities. Molecular approach can be used in the management and conservation of fish with high economic value.
Kontaminasi Kerang Filter Feeder Perna viridis Linnaeus, 1758 (Bivalvia: Mytilidae) oleh Pestisida Organofosfat di Perairan Laut Brebes Jawa Tengah Indonesia
Authors: Suryono Chrisna Adhi , Irwani Irwani , Rochaddi Baskoro , Setyati Wilis Ari , Indardjo Agus
Published: May 2021

In the last five years, organophosphate pesticides has been introduced in red onions fields in Brebes.  This will broadbly impact to the ecosystem, including the filter feeder marine organisms such as green mussel P. viridis. This article presents the occurrence level of organophosphate pesticides residues in marine waters and green mussel which has collected on Brebes marine areas. Some selected organophosphate pesticides compounds (Chlorpyrifos, Profenofos, Diazinon, Fenitrothion, Malation and Methidathion) of contaminant have been determined. The samples were then analyzed by using gas chromatography and followed by using the method of Standard Method Examination. The results showed that average of six residues (Chlorpyrifos, Profenofos, Diazinon, Fenitrothion, and Malation) in marine water were undetected (bd) (<0.0004 ppm). The merely concentration of PPOs detected was Chlorpyrifos 0.31 µg/L detected in green mussel. The concentration of organophosphate pesticides in these areas might contribute by the usage of organophosphate pesticide from red onion fields Dalam lima tahun terakhir, pestisida organofosfat mulai diperkenalkan di ladang bawang merah di Brebes.  Hal ini secara luas akan berdampak pada ekosistem, termasuk organisme laut filter feeder seperti kerang hijau P. viridis.  Artikel ini menyajikan tingkat residu pestisida organofosfat di perairan laut dan kerang hijau yang terkumpul di wilayah perairan Brebes. Beberapa senyawa pestisida organofosfat terpilih (Klorpirifos, Profenofos, Diazinon, Fenitrothion dan Malation) untuk dianilisa.  Sampel kemudian dianalisis dengan menggunakan kromatografi gas dan dilanjutkan dengan metode Pemeriksaan Metode Standar. Hasil penelitian menunjukkan bahwa rata-rata enam residu (Klorpirifos, Profenofos, Diazinon, Fenitrothion, dan Malation) di perairan laut tidak terdeteksi (bd) (<0,0004 ppm). Konsentrasi OPP yang terdeteksi hanyalah Klorpirifos 0,31 µg/L yang terdeteksi pada kerang hijau. Konsentrasi pestisida organofosfat di daerah tersebut kemungkinan besar disebabkan oleh penggunaan pestisida organofosfat dari ladang bawang merah.
Percampuran Turbulen Di Laut Sulawesi Menggunakan Estimasi Thorpe Analisis
Authors: Hermansyah Hadi , Atmadipoera Agus Saleh , Prartono Tri , Jaya Indra , Syamsudin Fadli
Published: May 2021

Dissipation of internal tides will cause mixing, The mixing process at sea plays a key role in controlling large-scale circulation and ocean energy distribution. The purpose of this research was to estimate the turbulent mixing values  (vertical eddy diffusivity) of water mass using Thorpe analysis. The results showed that the  location where strong mixing occurred in the “near-field” area around Sangihe Island with vertical diffusivity value . Even in areas far-field(far from the generating site) are found vertical diffusivity , the result of internal propagation tides dissipation. Based on the result of the observation, it shows that the level of kinetic energy of eddy turbulen dissipation (ε) in the Sulawesi Sea on all layers has an average value of . The value of ε in the thermocline layer is greatest  compared to the mixed surface layer and the almost homogeneous deep layer, the increase in mixing in the area near the ridge due to the closer water column to the base topography. The average turbulent rate of , the strongest fluctuation of value occurs in the thermocline layer, ranging from  to  with an average of about . The value of this turbulent mixing is higher than the previous measurements in some Indonesian ocean. This is allegedly due to the existence of a strong internal tidal energy and its interaction with topography in the Sulawesi Sea.Disipasi dari pasang surut internal akan menyebabkan terjadinya percampuran, proses percampuran di laut memainkan peran kunci dalam mengendalikan sirkulasi skala besar dan distribusi energi lautan. Tujuan dari penelitian ini adalah untuk mengestimasi nilai percampuran turbulen (difusivitas eddy vertikal) massa air dengan analisis Thorpe. Hasil penelitian ini menunjukkan bahwa percampuran yang kuat terjadi di area sekitar Pulau Sangihe-Talaud dengan nilai difusivitas vertikal . Bahkan pada area yang jauh dari pusat pembangkitan ditemukan difusivitas vertikal , hasil disipasi propagasi pasang surut internal. Berdasarkan hasil pengamatan menunjukan bahwa rata-rata tingkat energi kinetik disipasi turbulen eddy  Laut Sulawesi pada semua lapisan adalah . Nilai  di lapisan termoklin paling besar  dibandingkan dengan lapisan permukaan tercampur dan lapisan dalam yang hampir homogen, peningkatan percampuran di daerah dekat ridge disebabkan makin mendekatnya kolom air dengan topografi dasar. Rata-rata nilai percampuran turbulen sebesar , fluktuasi nilai yang paling kuat terjadi di lapisan termoklin, yang berkisar yaitu antara  sampai  dengan rerata sekitar . Nilai percampuran turbulen ini lebih tinggi dibandingkan dengan pengukuran sebelumnya di beberapa perairan Indonesia. Hal ini diduga karena adanya energi pasang surut internal yang kuat serta interaksinya dengan topografi yang ada di Laut Sulawesi.
The Influence of Glycerol Monostearate Concentration and Storage Condition on Tomato Powder’s Contents Using Foam Mat Drying Method
Authors: Ramadhany Putri , Pramana Abigail Fern , Febiola Arabella , Handoko Tony
Published: May 2021

Tomato is a seasonal horticultural product that has beneficial effects on human health. It contains a high concentration of lycopene and vitamin C. However, tomato production, which continues to increase in Indonesia, is not balanced with its consumption. Due to its high moisture content, harvested tomato relatively has a short shelf-life. Resultantly, the unconsumed tomato will end up being wasted. One way to prolong tomato’s shelf-life is by converting it into powder form. In this research, the tomato was shifted into tomato powder using a foam mat drying method. The weight ratio of GMS to tomato juice was varied: (1) 4%-w/w, (2) 5%-w/w, and (3) 6%-w/w. Tomato powder was then stored in two types of materials (sealed brown glass bottle and laminated aluminium foil (LAF) resealable zipper) and three conditions (refrigerator ( ± 4 ℃), room temperature (± 25.2 ℃) and sun-exposed  (± 30 ℃)). According to the results, foam mat drying could maintain the nutrients of the tomato powder. Increasing GMS larger than 5%-w/w had no big impact on reserving lycopene and vitamin C. At 5%-w/w GMS, tomato powder consisted of 1.09%/w/w moisture, 42.58 mg/100 g lycopene, and 123.28 mg/100 g vitamin C. It was found that moisture and vitamin C on tomato powder content was influenced by storage conditions, while lycopene content was influenced by storage material. Moisture content and vitamin C were best maintained at the sun-exposed condition and room temperature, respectively. While lycopene was best stored in the laminated aluminium foil (LAF) resealable zipper.