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ESTIMASI MODEL LINEAR PARSIAL DENGAN PENDEKATAN KUADRAT TERKECIL DAN SIMULASINYA MENGGUNAKAN PROGRAM S-PLUS Nur Salam; Dewi Sri Susanti; Dewi Anggraini
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 6, No 2 (2012): JURNAL EPSILON VOLUME 6 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.605 KB) | DOI: 10.20527/epsilon.v6i2.82

Abstract

Partial linear model (model semiparametric) is a new approach in the regressionmodels between the two regression models are already popular parametric regression andnonparametric regression. Partial linear model is a model that includes both thecombination of parametric components and nonparametric components. This study usesliterature by studying semiparametric regression analysis, finding and determining theestimated parameters. Partial linear model has the form: : ???????? = ???????????????? + g(????????)+ ???????? with???????? and ???????? are explanatory variables, g (.) is an unknown function (smooth function), β isthe parameter of unknown function, ???????? response variable and ???????? is an error with the mean(????????) = 0 and variance ????????2 = ????(????????2).The results showed that the partial linear model parameter estimation canbe performed using the least squares method in which part of the linear model usingnonparametric kernel approach and subsequent estimation results are substituted into thepartial linear model to estimate the parametric part of the model by using the linear leastsquares method. Results obtained partial linear estimation is ???? ???? (t) = ????????????????????=1 (Yi - ???????????? +???????? ) dengan ???????? = (???? ???? ???? )−???? ???? ???? ???? .Based on the simulation results obtained output values and graphs are for theparametric, graphical display and qqline qqnorm estimator beta (β) is (????) yaitu ????0, ????1and ????2 can be seen clearly, where if n is greater (n → ∞) and the greater replicationiteration r , then the points are spread around the more straight line and a straight line.This indicates the greater n and r, the beta (β) closer to the normal distribution.Nonparametric estimator simulation results in this section are taken as an example of anormal kernel function values approaching g (T). So it can be concluded briefly that if thelarger n (n → ∞), the estimator of the nonparametric part closer to the partial linearmodel g (T).
ESTIMASI PARAMETER UNTUK DISTRIBUSI HALF LOGISTIK Rizqi Elmuna Hidayah; Nur Salam; Dewi Sri Susanti
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 7, No 1 (2013): JURNAL EPSILON VOLUME 7 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.502 KB) | DOI: 10.20527/epsilon.v7i1.92

Abstract

Point estimation is a value obtained from the samples and used as anestimator of the parameter whose value is unknown. To determine the point estimatorcan be used several methods, such as Maximum Likelihood Estimator (MLE) and Methodof Moments Estimator (MME). Half logistic distribution is used for lifetime data such asthe survival data of a unit or individual of a particular situation in terms of failure time.In this journal, several methods for estimating the location and scale parameters of thehalf-logistic distribution.
PENGARUH MODEL PEMBELAJARAN NUMBERED HEAD TOGETHER DAN MODEL TALKING STICK TERHADAP MOTIVASI DAN HASIL BELAJAR IPS Nur Syahru Ramadhan; Muhammad Nawir; Nur Salam
Jurnal Penelitian dan Pendidikan IPS Vol. 18 No. 1 (2024): April
Publisher : Direktorat Pascasarjana Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jppi.v18i1.9813

Abstract

This research aims to determine the differences in the influence of the Numbered Heads Together (NHT) and Talking Stick learning models on student motivation and learning outcomes. The research design used in this experimental research is Factorial Design Experiment, using Pretest-Posttest, Nonequivalent Multiple Group Design. This research uses two experimental classes. The first experimental class (X1) was treated using the NHT model and the second experimental class (X2) was treated using the Talking Stick model with a total of 50 students. The instruments used in this research were test sheets, invitation sheets, and documentation. The data analysis techniques used were descriptive tests and inferential tests (normality, homogeneity and Manova tests). Based on the results of data analysis carried out using SPSS 25, there is no significant influence between the simultaneous learning model on the motivation and social studies learning outcomes of fifth grade students at SDN Kaluku Bodoa with a significant value of 0.822> 0.05, which means that H1 is rejected. H0 is accepted.
Pengelolaan Kampung Nelayan Sebagai Desa Wisata di Kabupaten Majene, Sulawesi Barat Ilham Junaid; Maryam Yusuf; Nur Salam; Muh. Arfin M. Salim; Andi Nur Fauziah
Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Vol. 2, No 1 February (2020)
Publisher : Politeknik Pariwisata Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33649/pusaka.v2i1.43

Abstract

This research aims at 1) analyzing the tourism potential of Kampung Nelayan (Majene Regency) as tourism village; 2) recommending steps or mechanisms to implement Kampung Nelayan as tourism village. This paper employs a qualitative approach to answer research questions through research visit in July and September 2019. The authors collected research data through in-depth interviews and direct observation. The research reveals that Kampung Nelayan has the potential for tourism village based on community empowerment principles. Kampung Nelayan has potential of marine tourism and cultural tourism. The steps to implement Kampung Nelayan as tourism village including 1) identification of members of community under the categories of internal and external community groups; 2) involving the community members in tourism programs and 3) follow up of community collaboration by the internal and external groups of community.