Is Virtual Marriage Acceptable? A Psychological Study Investigating The Role of Ambiguity Tolerance and Intimacy Illusion in Online Dating among Adolescents and Early Adults

Marriage is one of the most important topics in the education field since life in this world is structured by interaction among families and between families and other social institutions. Dissatisfaction and unsustainability of marriage have led the urgency of premarital education in various countries. The problem is that the spread of virtual reality has made marriage itself to become more complex and experience reinterpretation and reconfiguration, moreover with the emergence of new kind of marriage in the digital era, i.e. virtual marriage. Everybody who has observed, known, or even tried, certainly asks the question, “Could (or: should) I accept virtual marriage?” . This study was aimed to investigate the role of tolerance of ambiguity and illusion of intimacy in online dating in predicting the acceptance of virtual marriage. There were 420 adolescents and young adults (212 males, 208 females; Mage=21.10 years old, SDage=1.459 years; 338 students, 82 employees or entrepreneurs) in the Greater Jakarta, Indonesia, participated in this study. It was found that the acceptance was not predicted by the ambiguity tolerance, but by the illusion of intimacy in online dating. The psychometric issues, substantive discussion, and recommendation are presented at the end of this article. The trend of virtual marriage should not be allowed to roll away, by autopilot, without loaded by strategies in designing an online game as one of the pivotal educational technologies that needs to shape appropriate character and attitude for it

PENERAPAN PENDEKATAN CONTEXTUAL TEACHING LEARNING (CTL) UNTUK MENINGKATKAN KETERAMPILAN MENULIS KARANGAN DESKRIPSI DI SD

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan menulis siswa kelas IVB Sekolah Dasar pada mata pelajaran bahasa Indonesia. Hal ini terlihat berdasarkan pada observasi awal ketika pembelajarannya masih bersifat konvensional (siswa kurang diberikan stimulus untuk menulis), sehingga siswa-siswa kesulitan untuk mengungkapkan ide gagasannya dalam bentuk tulisan berupa karangan deskripsi. Kesulitan yang dihadapi siswa yaitu sulit menentukan judul, sulit membuat sebuah kalimat, sulit merangkai kalimat menjadi sebuah karangan sehingga karangan yang dibuat menjadi rancu dan tidak sesuai. Selain itu, kesalahan yang paling banyak ditemukan yaitu kesalahan dalam penggunaan ejaan dan tanda baca. Hal tersebut mengakibatkan banyaknya siswa yang mendapat nilai dibawah KKM yaitu sebanyak 16%. Salah satu upaya yang dilakukan yaitu dengan meningkatkan keterampilan menulis karangan deskripsi siswa dengan menerapkan pendekatan Contextual Teaching Learning (CTL). Tujuan yang hendak dicapai dalam penelitian ini adalah: (1) Untuk mengetahui pelaksanaan pembelajaran menulis karangan deskripsi dengan menggunakan pendekatan Contextual Teaching Learning (CTL), (2) Untuk mengetahui seberapa besar peningkatan keterampilan menulis karangan deskripsi siswa setelah menerapkan pendekatan Contextual Teaching Learning (CTL). Penelitian ini merupakan penelitian tindakan kelas yang diadaptasi dari model Kemmis dan Mc. Taggart. Penelitian ini dilakukan pada kelas 4 yang berjumlah 25 siswa. Instrumen pengungkap data yang digunakan dalam penelitian ini yaitu observasi, catatan lapangan, wawancara diakhir penelitian, dan dokumentasi. Hasil penelitian ini menunjukkan peningkatan ketuntasan keterampilan menulis karangan deskripsi, yaitu ketuntasan pada siklus I hanya 40% dan meningkat pada siklus II sebesar 92%. Selain itu, peningkatan terlihat dari nilai rata-rata, yaitu pada siklus I nilai rata-rata sebesar 59,4 dan meningkat pada siklus II menjadi 79,2 Hasil tersebut menunjukkan bahwa pendekatan Contextual Teaching Learning (CTL) mampu meningkatkan keterampilan menulis karangan deskripsi

GAMBARAN TINGKAT PENGETAHUAN IBU NIFAS TENTANG PEMENUHAN NUTRISI PADA MASA NIFAS DI DESA TANJUNGHARJA KECAMATAN KRAMAT KABUPATEN TEGAL

Pemenuhan nutrisi yang baik bagi ibu dalam masa nifas adalah salah satu program yang dapat menurunkan AKI. Berdasarkan data yang diperoleh dari Dinkes Kabupaten Tegal ditemukan dari 29 puskesmas di wilayah kabupaten Tegal, Kramat mempunyai cakupan yang rendah dibanding dengan 28 daerah lain di Kabupaten Tegal.Penelitian ini bertujuan untuk mengetahui tingkat pengetahuan ibu nifas tentang pemenuhan nutrisi pada masa nifas di Desa Tanjungharja, Kecamatan Kramat, Kabupaten Tegal Tahun 2014. Rancangan penelitian menggunakan Cross Sectional dan jenis penelitian berupa deskriptif. Populasi dalam penelitian ini adalah seluruh ibu nifas di Desa Tanjungharja Kecamatan Kramat, Kabupaten Tegal yaitu 27 ibu nifas. Dalam pengambilan sampel menggunakan teknik total sampling sehingga seluruh ibu nifas dijadikan responden yaitu 27 responden.Hasil penelitian menunjukan sebagian besar responden merupakan kelompok ibu nifas yang berusia 20-35 tahun (81%), yaitu sebanyak 22 responden. Pada tingkat pendidikan sebagian besar responden berpendidikan SMP (48%) yaitu sebanyak 13 responden. Pada kelompok paritas, sebagian besar mempunyai anak 2-4 anak (multipara) (63%) sebanyak 17 responden. Dari sebagian besar responden mempunyai tingkat pengetahuan baik (74%) atau sebanyak 20 dari 27 responden. Kata Kunci     : Nutrisi masa nifas, karakteristik, pengetahua

Global gold prices forecasting using Bayesian nonparametric quantile generalized additive model

Gold is one of the most attractive commodities and popular investments. Investment experts often recommend investing in gold because gold is one of the safest investments. It is a stable classic hedge, although the conditions of currency volatility or global markets are depreciated. However, the gold price fluctuations can be influenced by some other factors, such as the USD Index, which reflect and measure the strength of the US Dollar currency, and the Index of Dow Jones Industrial Average (DJIA) or a reflection of the political and economic conditions of the stock market. In this study, we conduct a global gold price forecast (USD) based on the USD Index, the DJIA Index, and the influence of time trends. Based on the data's characteristics, we face the fact that the data is nonlinear, contains outliers, and its pattern is not easy to specify parametrically. Due to the complexity of the model, we then propose a more flexible, robust modeling technique called the Bayesian Nonparametric Quantile Generalized Additive Model method. According to the results for the median case, the proposed method shows an accurate forecasting category due to the value of the Mean Absolute Percentage Error, MAPE less than 10 percent

Penerapan Program GSTAT-R untuk Prediksi Kadar Abu Batubara di Lokasi Tidak Tersampel dengan Metode Universal Kriging

Geostatistika merupakan perpaduan ilmu pertambangan, geologi, matematika, dan statistika. Data yang digunakan dalam geostatistika merupakan data spasial yakni nilai pengamatan berdasarkan lokasi. Kriging merupakan metode penaksiran yang menggunakan data spasial yang bertujuan untuk menaksir nilai di suatu lokasi, berupa titik atau blok berdasarkan informasi nilai-nilai dari lokasi lain di sekitar lokasi yang akan ditaksir. Dalam paper ini akan dibahas mengenai metode universal kriging, karena data yang diprediksi merupakan data yang tidak stasioner.Universal kriging adalah metode interpolasi data yang mempunyai kecenderungan trend (drift) tertentu atau metode penaksiran yang digunakan untuk menangani masalah kenonstasioneran dari data sampel. Dengan menggunakan program GSTAT-R perhitungan hasil prediksi di lokasi tidak tersampel pada metode universal kriging ini didapat dengan persamaan trend (drift) berorde satu. Prediksi kadar abu batubara dilokasi tidak tersampel pada program GSTAT-R dengan menggunakan metode universal kriging menghasilkan hasil prediksi yang akurat

Prediction of Spread Shear Strength of Rock with Ordinary Point Kriging Method using GStat-R

In this study, we used the Ordinary Point Kriging for predicting the spread of shear strength of rock at a site in an unobserved location. Based on the nature of rocks, the rock quality index is measured by rock shear strength with less strong rock properties which has a weaker of the strength of rocks to support the load and become a weak field. The calculation of the spread of the shear strength of rock can be made using GStat-R program in R software to get accurate results. In the calculation of prediction using the kriging method, we can use gstat library, sp library, Rcmdr library and several algorithms in GStat-R and apply them to the data to get a prediction of shear strength index of deployment at an unobserved location

This research was conducted to study the effects of pretreatment with white-rot fungi on pulp properties of betung bamboo. Inoculum stocks of white-rot fungi (25 ml) were injected into polybag contained barkless fresh bamboo chips of 1.6 cm in width. Each polybag contained 221.21-230.43 g oven dry weight of chips. Bamboo chips in the polybags were inoculated by P. ostreatus and T. versicolor. Both of them were then incubated for 30 and 45 days in an incubator. Bamboo chips were cooked in open hot soda process. The cooked bamboo chips were then fibrillated using beater hollander and stone refiner. Yield, kappa numbers (TAPPI 236 cm-85) and freeness (CSF) of the pulp were then analyzed. Pulp yield pretreated with P.ostreatus and incubated for 30 days was the highest (increased by control 22.31%), while that pretreated with T.versicolor was the lowest (decreased by control 22.20%). The increasing of incubation time had positive correlation with the reduction of kappa number. Statistic test (ANOVA) at 95% level of confidence show that fungi give significant effect on kappa number, freeness, and kappa number degradation. Besides that fungi, the interaction between fungi and incubation times give significant effect on the yield changes and pulp yield. T. versicolor had better activity in 45 days of incubation. Pulp freeness resulted from this study were still lower than the desired value. Pretreatment of betung bamboo using T. versicolor with 45 days of incubation was considered better than the other treatments. Keywords : Betung bamboo, biopulping, pulp yield, kappa number, degree of freeness

This research was conducted to study the effects of pretreatment with white-rot fungi on pulp properties of betung bamboo. Inoculum stocks of white-rot fungi (25 ml) were injected into polybag contained barkless fresh bamboo chips of 1.6 cm in width. Each polybag contained 221.21-230.43 g oven dry weight of chips. Bamboo chips in the polybags were inoculated by P. ostreatus and T. versicolor. Both of them were then incubated for 30 and 45 days in an incubator. Bamboo chips were cooked in open hot soda process. The cooked bamboo chips were then fibrillated using beater hollander and stone refiner. Yield, kappa numbers (TAPPI 236 cm-85) and freeness (CSF) of the pulp were then analyzed. Pulp yield pretreated with P.ostreatus and incubated for 30 days was the highest (increased by control 22.31%), while that pretreated with T.versicolor was the lowest (decreased by control 22.20%). The increasing of incubation time had positive correlation with the reduction of kappa number. Statistic test (ANOVA) at 95% level of confidence show that fungi give significant effect on kappa number, freeness, and kappa number degradation. Besides that fungi, the interaction between fungi and incubation times give significant effect on the yield changes and pulp yield. T. versicolor had better activity in 45 days of incubation. Pulp freeness resulted              from this study were still lower than the desired value. Pretreatment of betung bamboo using T. versicolor with               45 days of incubation was considered better than the other treatments.   Keywords : Betung bamboo, biopulping, pulp yield, kappa number, degree of freenes

Implementation of Generalized Space Time Autoregressive (GSTAR)-Kriging Model for Predicting Rainfall Data at Unobserved Locations in West Java

A Generalized Space Time Autoregressive or GSTAR is a special model of Vector Autoregressive (VAR) model which is a combination of time series and spatial models which has the assumption of autoregressive parameter and space time parameter having different value for each location of observation. In addition, it assumes stationary time series data at the mean and variance levels and applies to locations with heterogeneous characteristics. One disadvantage of the GSTAR model is that it can not be used to predict at unobserved locations. In this paper we combine the GSTAR model with the Ordinary Kriging (OK) technique, named GSTAR-Kriging model so that the GSTAR model can be used to predict in unobserved locations. GSTAR parameters are estimated using the Ordinary Least Squares (OLS) method and these are used as inputs for the Kriging technique. Furthermore, by using linear semivariogram we can obtain simulations to predict the GSTAR parameters. For the case study we applied the model to annual rainfall data in wet season (Desember, January and February) from several locations in West Java, Indonesia, such as Majalengka, Kuningan and Ciamis Regencies. The GSTAR (1;1) model in observed location have Mean Average Percentage Error (MAPE) value overall less than 15 percent and residual of model have identically independent distributed normal. The results of GSTAR-Kriging model show that the GSTAR-Kriging parameter at unobserved locations are almost similar to GSTAR parameter at observed locations