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All Journal Jurnal Gaussian Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Parameter: Journal of Statistics
Gustriza Erda
Department Of Statistics Universitas Riau, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Public Health Other

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RANCANGAN ACAK KELOMPOK TAK LENGKAP SEIMBANG PARSIAL (RAKTLSP) Gustriza Erda; Tatik Widiharih; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (767.142 KB) | DOI: 10.14710/j.gauss.v4i2.8575

Abstract

Partially Balanced Incomplete Block Designs (PBIBD) is a design with  v treatments arranged into b blocks with every block which is consist of into k treatment (k < v) that in every treatment only occurs once in every block, and there are pair treatment which occur together in the same block as much as λm times. The pair treatments on PBIBD is based on the association scheme. This undegraduate thesis uses triangular association scheme that is two-class association scheme (first and second association). This scheme is used to determine the first and second association of every treatment. Based on formed association, it will obtain the number of pairs treatment that occurs in every block that will be designed (λm, m=1,2). The test that is used is test of treatments effect because only treatments that is important which are adjusted treatment for the reason that not all treatments occurs in every block. Assumptions which is required is the assumption of residual normality, equal variances, and independence assumption. The advanced test to be held is Tuckey Test (Honest Significance Difference). To clarify the discussion on PBID, examples of applications in the field of animal husbandry are given to observe the effect of the type of foods that contain alfalfa effect toward weight gain of turkey. The result obtained indicate that there are significant types of foods that contain alfalfa effect toward weight gain of turkey. Where is the recommended type of food is the food of A that contain 2,5% alfafa type 22.Keywords : PBIBD, Triangular association, Tuckey Test, Normality, Equal Variances, Independence
PENGARUH INFLASI TERHADAP IMPOR DAN EKSPOR DI PROVINSI RIAU DAN KEPULAUAN RIAU MENGGUNAKAN GENERALIZED SPATIO TIME SERIES Rezzy Eko Caraka; Wawan Sugiyarto; Gustriza Erda; Erie Sadewo
Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Vol 9 No 2 (2016): Jurnal BPPK (printed version)
Publisher : Badan Pendidikan dan Pelatihan Keuangan - Kementerian Keuangan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to support the economy in Indonesia, the government takes the role in formulating fiscal policy, monetary or non-monetary. In addition, it is necesarry also deep concern related to inflation. This is because when inflation is high, the price of goods and services export become relatively more expensive and lead to domestic products and services can not compete with goods and services from abroad. Exports will also tend to descrease followed by an increase in imports from other countries are likely to increase . province of riau and Riau island border with malaysia and sinagpore. Geographical location adjoining give effect to the value of exports and imports Indonesia. Based on the analysis by modeling based on generalized spatio time series it was concluded that in order to control the inflation rate can be done by maintaining adequate supply and distibution of essential commodities. Lowering inflation expectations remained at a high level and perform industrial production to the maximum and do the consumption of local product.
EFEKTIVITAS LIMBAH TAHU DENGAN AKTIVATOR KULIT PISANG KEPOK MENJADI PUPUK ORGANIK CAIR TERHADAP TANAMAN BAYAM HIJAU (Amaranthus tricolor L) Veronika Amelia Simbolon; Riris Putri Kinanti; Gustriza Erda
Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Vol 22, No 1 (2022): Jurnal Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat
Publisher : Politeknik Kesehatan Kemenkes Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/sulolipu.v22i1.2745

Abstract

Industri pembuatan tahu menghasilkan limbah padat dan cair, jika tidak diolah akan menimbulkan bau busuk yang menyengat. Limbah cair tahu dapat dimanfaatkan menjadi pupuk organik cair, karena mengandung unsur hara yang baik untuk kesuburan tanah. Penggunaan pupuk organik cair limbah cair tahu dosis tinggi dan waktu yang panjang tidak merusak lingkungan karena berbahan alami dan mudah terurai di alam. Diketahui pH tanah sebelum dan sesudah perlakuan, diketahui konsentrasi terbaik terhapat pertumbuhan tanaman bayam dan dikatahui pengaruh pemberian pupuk organik cair limbah cair terhadap pertumbuhan tanaman bayam hijau. Jenis penelitian menggunakan pendekatan kuantitatif dengan metode eksperimen telah dilakukan di Tanjungpinang Timur, Jln. D.I. Panjaitan KM.7 bulan Februari-Mei 2020. Objek penelitian yaitu bibit bayam yang berada di Tanjungpinang yang tumbuh baik dengan tinggi batang, lebar daun, dan jumlah daun yang sama. Jumlah sampel yaitu 30 batang tanaman bayam hijau yang terdiri dari 24 batang perlakuan (4 konsentrasi x 2 batang x 3 pengulangan) 6 batang control. Pengambilan data menggunakan lembar observasi yang diisi setelah dilakukan pengukuran. Analisis data secara univariat (distribusi frekuensi) dan bivariat (Annova). Diketahui pH tanah sebelum perlakuan 4 (asam), setelah perlakuan menjadi 6-7 (netral). Konsentrasi pupuk paling baik terhadap pertumbuhan tinggi batang tanaman bayam yaitu konsentrasi 10%, terhadap lebar daun 20% dan jumlah daun pada konsentrasi 20%. Tinggi batang tanaman bayam memiliki nilai p value sebesar 0,026 dan lebar daun dengan nilai p value sebesar 0,041 atau nilai p value < 0.05. Perlakuan pupuk organik cair limbah tahu dapat meningkatkan pH tanah dan ada pengaruh pemberian pupuk organik cair limbah cair tahu terhadap pertumbuhan tinggi batang dan lebar daun tanaman bayam hijau. Perlu dilakukan penanganan hama selama melakukan proses pengamatan agar tidak merusak pertumbuhan tanaman bayam hjiau.Kata kunci: Limbah Cair, Pupuk Organik, Tanaman Bayam
Classifiying The Factors Influencing The Human Development Index in Riau Province using Principal Component Analysis Gustriza Erda; Sartika Mega Aulia; Zulya Erda
Parameter: Journal of Statistics Vol. 2 No. 3 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2022.v2.i3.16203

Abstract

The Human Development Index is a critical indicator of economic growth. Several factors, including average length of schooling (X1), expected length of schooling (X2), life expectancy at birth (X3), number of health workers (X4), number of health facilities (X5), spending per capita (X6), open unemployment rate (X7), number of poor people (X8), percentage of households with proper drinking water sources (X9), and GRDP growth rate (X10), can influence the Human Development Index. The purpose of this research was to simplify the factors that influence the human development index in Riau Province in 2021. Data analysis used R-Studio software by applying descriptive statistical analysis, Principal Component analysis, and Biplot analysis. The analysis revealed that the ten variables that influence human development index in Riau in 2021 can be divided into three categories: community service quality, health facilities, access, and economic conditions. These three factors can describe up to 80% of the diversity of the data.
The Comparison of Accuracy on Classification Climate Change Data with Logistic Regression Arisman Adnan; Anne Mudya Yolanda; Gustriza Erda; Noor Ell Goldameir; Zul Indra
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2023): Articles Research Volume 8 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11914

Abstract

Machine learning methods can be used to generate climate change models. The goal of this study is to use logistic regression machine learning algorithms to classify data on greenhouse gas emissions. The data used is climate change data of several countries obtained from The World Bank, with total greenhouse gas emissions as the response variable and 61 other attributes as explanatory variables. This data is preprocessed using min-max normalization to handle unbalanced ranges, and then the data is split into 70% training data and 30% testing data. Based on the logistic regression modeling, it was discovered that the data from the min-max transformation resulted in better modeling than the data modeling without the transformation process. The accuracy, precision, sensitivity, and specificity of the transformation are 87.60%, 87.76%, 87.04%, and 88.14%, respectively
GROUPING OF POVERTY IN INDONESIA USING K-MEANS WITH SILHOUETTE COEFFICIENT Gustriza Erda; Chairani Gunawan; Zulya Erda
Parameter: Journal of Statistics Vol. 3 No. 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i1.16435

Abstract

Poverty is an enormous problem in numerous nations including Indonesia. Poverty can be measured using several indicators, including the unemployment rate, the percentage of poor people, expenditures per capita, and the poverty line. The purpose of this study is to categorize Indonesian provinces based on poverty indicators in 2021 using K-Means with the Silhouette Coefficient approach. Based on the silhouette coefficient approach, there are two clusters that are created. The first cluster is a high-poverty-rate regional group that includes the provinces of Aceh, Bengkulu, West Nusa Tenggara, East Nusa Tenggara, Central Sulawesi, Gorontalo, Maluku, West Papua, and Papua. On the other hand, the second cluster is an association of regions with a low poverty rate, and it includes 25 provinces. The greater number of provinces in the low poverty rate cluster implies that the poverty rate in Indonesia in 2021 is included in the low category
IMPLEMENTATION OF THE K-MEDOIDS METHOD IN CLUSTERING HUMAN DEVELOPMENT INDEXES IN INDONESIA Gustriza Erda; Radhiatul Khaira Usdika; Rizka Pitri; Zulya Erda
Parameter: Journal of Statistics Vol. 3 No. 2 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i2.16906

Abstract

The Human Development Index (HDI), which takes into account three fundamental aspects of human existence, a long and healthy life, knowledge, and a reasonable level of living, is one tool used to assess the effectiveness of human progress. Clustering provinces based on the human development index is important so that development disparities can be identified and help identify provinces with high, medium or low levels of development. The purpose of this study was to use the k-medoids approach to perform a cluster analysis of HDI in Indonesia based on life expectancy, average years of schooling, expected years of schooling, and expenditure per capita adjusted for 2022. The analysis indicate that two clusters were created: cluster 1 had a high human development index, while cluster 2 had a low human development index. More provinces belonged to cluster 1 than cluster 2 suggesting that human development index in Indonesia in 2022 was largely in the high category
Co-Authors Anne Mudya Yolanda Arisman Adnan Chairani Gunawan Erie Sadewo Goldameir, Noor Ell Radhiatul Khaira Usdika Rezzy Eko Caraka Riris Putri Kinanti Rizka Pitri Sartika Mega Aulia Simbolon, Veronika Amelia Tatik Widiharih Wawan Sugiyarto Yuciana Wilandari Zul Indra Zulya Erda Zulya Erda