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Journal : PROSIDING SEMINAR NASIONAL

PEMODELAN REGRESI SPATIAL : PENGARUH INFRASTRUKTUR TRANSPORTASI TERHADAP PRODUK DOMESTIK REGIONAL BRUTO PROVINSI JAWA TENGAH Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Peran penting infrastruktur transportasi suatu daerah diduga kuat mempengaruhi pertumbuhan ekonomi daerah tersebut serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui seberapa besar pengaruh efek langsung infrastruktur transportasi terhadap Produk Domestik Regional Bruto (PDRB) di Jawa Tegah. Dalam penelitian ini, pemodelan spatial yang dilakukan adalah spatial autoregressive (SAR) dan spatial error model (SEM). Hasil estimasi menunjukkan, efek langsung infrastrukturtransportasi kabupaten/kota di Jawa Tengah tidak berpengaruh signifikanterhadap output dari daerah di mana infrastruktur berada dan kabupaten/kotatetangganya.  Keywords: SAR, SEM, regresi spatial, infrastruktur transportasi, pdrb
PENGUJIAN LAGRANGE MULTIPLIER PADA SPESIFIKASI SPATIAL MODEL PERTUMBUHAN EKONOMI INDONESIA Abdul Karim; Akhmad Fathurrohman; Suhartono Suhartono; Dedy Dwi Prastyo
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: SEMINAR NASIONAL PENDIDIKAN SAINS DAN TEKNOLOGI
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Beberapa model ekonometrika didasari pada teknik asimtotik dan terdapat tiga prinsip untuk pembangunan tes hipotesis parametrik. Pengujian tersebut diantaranya : (i) metode Wald, (ii) metode maximum likelihood ratio (LR) dan (iii) metode Lagrange Multiplier (LM). Terdapat uji diagnostik untuk penilaian model yang disebabkan dependensi spatial dan heterogenitas spatial sebagai aplikasi dari prinsip Lagrange Multiplier. Tujuan dari paper ini adalah mempertimbangkan penggunaan uji Lagrange Multiplier untuk menyusun spesifikasi model spatial pertumbuhan ekonomi di Indonesia. Data yang digunakan  adalah  produk  domestic  regional  bruto  (PDRB)  untuk  masing- masing provinsi serta faktor-faktor yang mempengaruhinya bersumber dari Badan Pusat Statistik Republik Indonesia (BPS RI) tahun 2017. Berdasarkan hasil  pengujian  LM  mengindikasikan  bahwa  parameter  rho  dan  lamda (SARMA) berpengaruh signifikan. Dengan demikian, spesifikasi model spatial terbaik adalah model yang menambahkan parameter rho dan lamda, seperti model spatial SAC dan SAC mixed.Keywords:   Lagrange   Multiplier,   Uji   Diagnostik  Spatial,   Spatial   Model, pertumbuhan ekonomi, infrastruktur transportasi.
PENERAPAN MODEL DISCOVERY TERARAH BERBASIS LINGKUNGAN UNTUK MENINGKATKAN HASIL BELAJAR MATA PELAJARAN IPA MATERI STRUKTUR DAN FUNGSITUMBUHAN SISWA KELAS IV SD ISLAM NU PUNGKURAN KECAMATAN SEMARANG TENGAH KOTA SEMARANG TAHUN PELAJARAN 2016/ 2017 Nur Aina Dwi Wulandari; Iswahyudi Joko S; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

This improvement is motivated by the problem of low learning outcomes and critical thinking skills of IPA on the material Structure and Function of PlantSection. Most students' critical thinking skills have not yet been seen and scoredunder the KKM. Therefore, teachers apply environmentally directed discoverylearning model in order to create a fun learning atmosphere. The purpose of thisimprovement is to know the improvement of learning outcomes and criticalthinking skills in science learning materials Structure and Function Part Plantsof fourth graders Semester 1 Islamic elementary school NU Pungkuran DistrictSemarang Central Semarang City Lesson 2016/2017.The implementation oflearning improvement consists of 2 cycles. Cycle I dated October 4, 2016 andCycle II dated October 11, 2016. The results obtained are the increase in thepercentage completeness of student learning outcomes cycle I reached 67%, andcycle II reached 92%. While the achievement of critical thinking skills in the firstcycle reached 58.3% with predicate enough and cycle II increased to 83.3% witha range of intervals from 2.40 to 2.79 predicate enough. The conclusion is thatthe application of environmentally directed discovery learning model canimprove learning outcomes and critical thinking skills of students in sciencelearning materials Structure and Function of Class Section IV Semester 1 SDIslam NU Pungkuran District Semarang Tengah Semarang City Lesson2016/2017.Keywords: discovery, learning outcomes, critical thinking skills.
PERBANDINGAN METODE ORDINARY LEAST SQUARE (OLS) DAN REGRESI ROBUST PADA FAKTOR YANG MEMPENGARUHI ANGKA HARAPAN HIDUP DI PROVINSI JAWA TENGAH Nadya Permata Tungga Dewi; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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This study aims to determine the factors that affect life expectancy in Central Java Province. The analytical method used is OLS (Ordinary Least Square) which is a regression method that minimizes the number of quadratic errors and robust regression method is a regression method used when the distribution of the error is not normal or the existence of the influence of the model. In this study, it was found that robust method is better than OLS method. In this study researchers used secondary data obtained from the Central Bureau of Statistics of Central Java Province in 2014. In this study diporelah results that the two methods are normally distributed. In the OLS and robust methods, significant variables are GRDP, PHBS and Health Services while the insignificant variables in the OLS and robust methods are School Enrollment Rates. However, from both methods the best model is robus method with r square value of 0.4414 Keywords: Education, Health Services, PHBS, PDRB, life expectancy, OLS, Robust method
PEMODELAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) PROVINSI JAWA TENGAH DENGAN PENDEKATAN SPASIAL AUTOREGRESSIVE MODEL PANEL DATA Ulfatun Khasanah; Abdul Karim; Indah Manfaati Nur
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Modeling spatial is modeling that deals with approach point and area .While regression analysis data panel is regression analysis based on data panel toobserve the relation between one variable bound ( dependent variables ) withone or more variables free ( independent variables). Approach used is themodel spatial autoregressive (SAR). Model spatial autoregresive is a modelcombined model regression simple with lag spatial on the variables ofdependent using data cross section . The data used was data gdp and factorswhich influence it namely the local revenue, population, and investment 20112015year Based on Hausman test for the above model SAR is hisq = 0.50389, df = 3, p-value = 0.918. This means that p-value> 0.05 thus, the selected model is SARrandom effects.Keywords :PDRB, Spatial Panel, Spatial Autoregressive (SAR)
PERBANDINGAN REGRESI METODE ROBUST DENGAN METODE OLS STUDY KASUS PENGARUH INFLASI DAN PDRB TERHADAP PENGANGGURAN TERBUKA DI PROVINSI JAWA TENGAH Rofiqoh Istiqomah; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

The least squares method (Ordinary Least Square = OLS) is a widely used estimation method for estimating regression model parameters. This method has assumptions that some of them in real data use often can not be met. If there is sine then the least squares method is inaccurate to estimate the parameters. To solve this problem, one of the methods used is robust regression method. Robust regression was introduced by Andrews (1972) and is a regression method used when the distribution of abnormal error and or some outliers influences the model (Ryan, 1997). The data in this study will compare which model is the best OLS or Robust on Penganngura in Central Java province 2009.Variables used are unemployment as dependent variable and GRDP, Inflation asIndependent variable. The result shows that all significant variables to the unemployment variable will be teteapi data from both models both OLS and show is not normal. But when compared with the OLS model, Robust method is better that R-squared shows as 16.65% and OLS shows 15.56%.Keywords: OLS, Robust Regression, Inflation, GRDP, Unemployment
PERENCANAAN PROGRAM BANTUAN OPERASIONAL SEKOLAH (BOS) DI PROVINSI JAWA TENGAH BERBASISKAN MODEL SPATIAL AUTOREGRESSIVE (SAR) DAN SPATIAL ERROR MODEL (SEM) Rochdi Wasono; Abdul Karim; Moh. Yamin Darsyah; Suwardi Suwardi
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: SEMINAR NASIONAL PENDIDIKAN SAINS DAN TEKNOLOGI
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Formulasi penyaluran dana Bantuan Operasional Sekolah (BOS) merupakan masalah yang kompleks, karena setiap daerah memiliki karakteristik yang berbeda.  Penelitian  ini  bertujuan  untuk  mengetahui  perbandingan model spatial autoregressive (SAR) dan spatial error model (SEM) serta menentukan model terbaik diantara kedua model. Hasil penelitian menunjukan bahwa model SEM lebih baik disbanding dengan model SAR. Kata Kunci : Bantuan operasional sekolah (BOS), SAR, SEM
MENINGKATKAN KEMAMPUAN SISWA DALAM MENYELESAIKAN SOAL CERITA BERKAITAN DENGAN OPERASI HITUNG BILANGAN BULAT MELALUI PENDEKATAN KONTEKSTUAL PADA MATA PELAJARAN MATEMATIKA Alifia Melati Farida; Abdul Karim; Iswahyudi Joko S
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Hasil belajar Matematika siswa kelas VI SD Muhammadiyah 08 Semarang  masih   rendah. Hal ini terlihat pada nilai rata-rata kelas hanya 56,8. Siswa juga terlihatkurang aktif selama pembelajaran di kelas sehingga guru perlu menggunakanmetode yang lebih bervariasi. Tujuan penelitian adalah untuk meningkatkankemampuan siswa dalam  menyelesaikan soal cerita yang berkaitan denganoperasi hitung bilangan bulat  pendekatan kontekstual. Penelitian  dilakukandalam dua siklus, yaitu siklus I yang dilaksanakan 6 Oktober 2014 dan  siklus IIyang dilaksanakan 13 Oktober 2014. Teknik pengumpulan data meliputiwawancara, observasi, dan tes. Hasil penelitian menunjukkan bahwa terjadipeningkatan hasil belajar siswa. Terlihat dari hasil tes pra tindakan,menunjukkan bahwa nilai rata-rata siswa 56,8. Setelah diadakan tindakan siklusI, nilai rata-rata siswa menjadi 63,2. Setelah dilakukan tindakan siklus II, nilairata-rata siswa menjadi 83,9. Pendekatan kontekstual mampu meningkatkankemampuan siswa kelas VI SD Muhammadiyah 08 Pedurungan kota Semarangdalam menyelesaikan soal cerita yang berkaitan dengan operasi hitung bilangan bulat.Keywords: soal cerita, bilangan bulat, pendekatan kontekstual
Autocorrelation Spatial Infrastruktur Transportasi di Jawa Tengah Abdul Karim; Muhammad Saifudin Nur; Akhmad Faturohman
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Publikasi Hasil-Hasil Penelitian dan Pengabdian Masyarakat
Publisher : Universitas Muhammadiyah Semarang

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Abstract

This paper describes the spatial dependence of road transport infrastructure in Central Java using Moran's global approach. The results show that road transport infrastructure in Central Java has a spatial dependence on alpha five percent. In addition, the value of Moran's index is positive which indicates that each adjacent area has a positive spatial dependence.Keywords: spatial autocorrelation, Moran's I, Spatial Dependency, Transportation Infrastructure.
PENGARUH KEDISIPLINAN TERHADAP HASIL BELAJAR SISWA MATA PELAJARAN IPA KELAS IV DI SD ISLAM NU PUNGKURAN Retna Widyasari; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

RETNA WIDYA, Effect of Discipline on Student Learning Outcomes ofScience Class IV Subjects in Nu Pungkuran Islamic Elementary SchoolLearning achievement is a measure of student ability after doing study activitiesover a period of time. Learning achievement influenced by several factors, oneunya that is learning discipline. Difference discipline learning on each studentraises a learning achievement different as well as disipl in and grade 4 learningachievements tails SD Islam NU Pungkuran Based on this background, thisstudy aims for knowing:(1) the level of student learning discipline, (2) the level of student achievement,(3) the influence of learning discipline on student achievement, and (4) how bigpinfluence the discipline of learning on student achievement.Research this using the method descriptive survey with approach quantitative Population in the study that is all class students IV SD Islam NU Pungkuranamounted to six students. Research semany sixStudents which is determined use technique Proportional Random Sampling.Research variable covering the discipline of learning as the independentvariable and learning achievement as variable terikat. Data collectiontechniques use questionnaires, observations and documentation. Theprerequisite analysis test shows that the data is normally distributed and linearso tecology hypothesis testing using anali sis regresi linear simple.The results of the study me show that: (1) the level of student learningdiscipline amounted to 75.55% and included in the category strong, (2) level oflearning achievement students amounted to 78.38 and included in eithercategory, (3) Value sig amount 0,000. Therefore 0.000 <0.05, then Ho rejectedand Ha accepted meaning there is a significant influence of learning disciplineon student achievement, (4) coefficient of determination (R2) 0.567 indicates thepercentage of donations the influence of independent variable equal to 56,7%.This shows that 56.7% student achievement is influenced by learning discipline,while 43.3% influenced by other factors not discussed in the study. Started onthe results of research, then all parties both teachers and parents should bepayattention and mening katkan discipline of learning students so it can achievemore optimal learning achievement.Keywords: Discipline Blearn Learning achievement