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All Journal Jurnal Gaussian Science and Technology Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Jurnal Kreativitas PKM Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Jurnal Informatika dan Rekayasa Elektronik Unri Conference Series: Community Engagement JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Operations Research: International Conference Series Jurnal Ketenagakerjaan Parameter: Journal of Statistics Journal of Community Engagement Research for Sustainability Journal of Community Service in Science and Engineering Jurnal Ilmiah Pengabdian Masyarakat Bidang Kesehatan Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Theta: Journal of Statistics
Gustriza Erda
Universitas Riau
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation 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
WORLD GREENHOUSE GAS EMISSION CLASSIFICATION USING SUPPORT VECTOR MACHINE (SVM) METHOD Ramadani, Kurnia; Gustriza Erda
Parameter: Journal of Statistics Vol. 4 No. 1 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i1.17051

Abstract

The phenomenon of Heatwaves has struck several countries across the globe due to climate change. This climate change has led to an increase in greenhouse gas emissions surpassing the limits set by the IPCC Fourth Assessment Report GWPs. This study utilizes the Support Vector Machine (SVM) classification method to identify and categorize greenhouse gas emission data from 1990 to 2020 using four kernels function such as linear, polynomial, radial basis function (RBF), and sigmoid. The SVM method demonstrates excellent performance in constructing classification models with a polynomial kernel function. This is evidenced by high values of training accuracy, testing accuracy, and F1-score, accompanied by short training and testing analysis times. Successively, these values are 97.39%, 97.69%, 96.82%, 0.59 seconds, and 0.22 seconds.
The Comparison of Accuracy on Classification Climate Change Data with Logistic Regression Adnan, Arisman; Yolanda, Anne Mudya; Erda, Gustriza; Goldameir, Noor Ell; Indra, Zul
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 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
Pengaruh Campuran Limbah Cucian Beras Dan Air Kelapa Terhadap Pertumbuhan Tanaman Sawi Hijau (Brassica Juncea L.) Simbolon, Veronika Amelia; Samosir, Kholilah; Erda, Gustriza; Rahmi, Afrilia
Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Vol 24 No 2 (2024): Jurnal Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat
Publisher : Jurusan Kesehatan Lingkungan Poltekkes Kemenkes Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/sulo.v24i2.684

Abstract

The characteristics of the soil in the Tanjungpinang City area have a low level of fertility, so in this case many farmers use soil fertilizing substances in the form of inorganic fertilizers, where the farmers assume that the use of inorganic fertilizers can speed up the planting period and increase crop yields, without knowing the impact of applying inorganic fertilizers directly. Continuously and in excessive doses can cause physical damage to the soil. Soil damage due to the use of inorganic fertilizer can be avoided by changing inorganic fertilizer to organic fertilizer, where organic fertilizer can quickly overcome nutrient deficiencies, does not damage soil humus and dissolves easily in the soil and carries important nutrients for soil fertility. The aim of the research was to determine the nutrient content (N-Total, P2O5, K2O, Mg, Ca) in a mixture of rice washing waste and coconut water with concentrations of 50%, 75% and 100% on the growth of green mustard plants. The type of research used is a quantitative approach, experimental method with a Complete Randomized Block Design (CRBD) using a 2 x 3 factorial pattern with 3 repetitions. The type of data analysis used in this research is ANOVA (Off Variance Analysis) and further test Tukey. The results of the research showed that the concentration that had the best growth effect on all parameters was a concentration of 50% with the result being an average stem height of 6.845 cm, average leaf width of 2.918 cm and an average number of leaves of 5.8644 pieces. It was concluded that each concentration had a significantly different effect on the growth of mustard green plants and the most influential in the growth of mustard green plants was the 50% concentration.
Pengembangan Aplikasi Berbasis Data untuk Optimalisasi Posyandu Pucuk Rebung Bersiku Keluang Yolanda, Anne Mudya; Erda, Gustriza; T, Nurhannifah Rizky; Finda, Ingla; Tata, Tata
Unri Conference Series: Community Engagement Vol 6 (2024): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.6.635-639

Abstract

Integrated Service Posts (Posyandu) play an important role in improving community health, especially in rural and remote areas. Posyandu provides basic health services for mothers and children, including growth monitoring, pregnancy check-ups, immunizations, and counseling on nutrition and health. However, many Posyandu, including Posyandu Pucuk Rebung Bersiku Keluang in Sail Sub-district, Pekanbaru, still use a manual recording system in data management. This often results in inaccurate data and makes it difficult to make informed decisions, which in turn hinders effective health policy development. This service activity aims to design and implement an information system specifically for Posyandu, with a focus on data digitization to facilitate recording, management, and visualization of information. The system is expected to provide more accurate data and comprehensive information on maternal and child health conditions. With a user-friendly dashboard-based design, the system is expected to improve the efficiency of data management and support more informed decision-making at the local level. The program is also expected to have a positive impact on the quality of health services in Posyandu and provide recommendations for similar implementation in other Posyandu.
Penguatan Kapasitas Komunitas Statistika Bantar dalam Tata Kelola Data Desa untuk Pembangunan Berkelanjutan Adnan, Arisman; Yolanda, Anne Mudya; Erda, Gustriza; Syamsudhuha, Syamsudhuha; Indra, Zul; Solfitri, Titi; T, Masrina Munawarah
Unri Conference Series: Community Engagement Vol 6 (2024): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.6.640-645

Abstract

This activity aims to strengthen the capacity of the statistical community in Bantar Village in supporting the transformation and management of data for sustainable development. The program focuses on assisting village officials in effectively managing data at the village level, in line with the Desa Cantik initiative and Indonesia One Data (SDI) program. The goal is to improve data accuracy and the effectiveness of village development planning. As a result, the statistical community, which also includes village officials, has shown increased capabilities in managing sectoral statistics and digitalizing data integrated with the Desa Cantik program. The village officials actively participated in this assistance, supported by the provincial and district BPS, who acted as facilitators. BPS provided training, monitoring, evaluation, and assistance in the preparation of program materials and outputs. One of the key outputs of this program is the creation of an infographic summarizing the statistics and potential of Bantar Village, covering demographic profiles, population density, and key commodities. This infographic serves as a visual communication tool that supports data-driven development planning. The program successfully established a strong foundation for better data management, supporting sustainable village development.
Analysis of Labor Force Participation Rate in Riau Province: A Spatial Autoregressive Approach Adnan, Arisman; Erda, Gustriza; Sirait, Tesa Theresia
Jurnal Ketenagakerjaan Vol 19 No 3 (2024)
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v19i3.345

Abstract

The labor force participation rate (LFPR) is one of the important indicators for measuring the participation of the labor force involved in economic activities. In Riau Province, LFPR has exceeded half the population, resulting in increasingly tight job competition. This research aims to model the factors influencing LFPR in Riau Province in 2021 using the Spatial Autoregressive Model (SAR). Based on the Moran Index, there is positive spatial autocorrelation in LFPR, while based on the Lagrange Multiplier test, the SAR model is appropriate to use because of the lag dependence on the dependent variable. SAR analysis shows that the non-labor force variables (????1), poverty line (????2), productive age population (15-64 years) (????3), and population growth rate (????4) have a significant positive influence on LFPR. In contrast, the type ratio variable gender (????5) has a negative influence. Apart from that, a lag coefficient of 0.4935 was obtained, which means that if the value of the LFPR figure in a region increases by 1 unit, it will increase by 0.4935 times the average LFPR in neighboring areas of the region. This highlights the need for policies aimed at increasing the LFPR to account for regional coordination, as changes in one area's LFPR can influence adjacent regions. Consequently, the Riau Provincial Government should promote collaboration among districts and cities to formulate a cohesive strategy, while each district should design policies that align with their unique local characteristics and the spatial dynamics of surrounding areas.
Classifiying The Factors Influencing The Human Development Index in Riau Province using Principal Component Analysis Erda, Gustriza; Mega Aulia, Sartika; Erda, Zulya
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.
Co-Authors Adia Syaputri Agung Satrio Wicaksono Al Baihaqi, Habib Althoff Hibban Anisa, Rahmatul Anne Mudya Yolanda Anwaar Al'Fathoni, Muhammad Khoirul Arisman Adnan Atia Sonda Ayu Sofia Bustami Bustami Dimas Abyan Fatkhin Al-Aswad Efendi, MHD Efni Agustiarni Eky Erie Sadewo Fadhila Rahman Fandi Gusriyanda Ferdinan, Tri Agus Finda, Ingla Fitri Ramadhani Goldameir, Noor Ell Gumanti Gunawan , Chairani Haposan Sirait Bustami Indra, Zul Kholilah Samosir Kurnia Ramadani Kurnia Ramadani Lathifah Zahra Lathifah Zahra Lidyasari, Nadia Bintang M. SYIFA RAMADHAN Mariza Mega Aulia, Sartika Melanie Maria Lafina Miftahul Jannah Miftahus Sholihin Mistika, Lensi Muhammad Fabian Reinhard Delano Musraini M Nuraini Safitri Nurhaliza Nurhannifah Rizky Tampubolon Nusantri Purba Okta Bella Syuhada Pitri, Rizka Putri Dina Sari Putri Soraya Tampubolon Putri, Nelsa Rahmi, Afrilia Rezzy Eko Caraka Rini Latifah Riris Putri Kinanti Rivai, Muklas Russel, Edwin Rustam Efendi Sarasmita Apriyenti Simbolon, Veronika Amelia Sirait, Tesa Theresia Siregar, Nurainun Siti Farika Sari SITI SUHAILA Sukamto Susilawati, S. Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha Syarif Abdullah Syukron Faiz T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Tatik Widiharih Thearas, Lia Titi Solfitri Usdika, Radhiatul Khaira Wamiliana Wawan Sugiyarto Wicaksono, Agung Satrio Yenita Roza Yuciana Wilandari Zulfanita Dien Zulya Erda