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All Journal Jurnal Gaussian 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 Jurnal Ketenagakerjaan Parameter: Journal of Statistics Journal of Community Engagement Research for Sustainability Jurnal Ilmiah Pengabdian Masyarakat Bidang Kesehatan Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Gustriza Erda
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences 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
Performance Analysis of Neighborhood Component Analysis on Support Vector Machine in Greenhouse Gas Emission Classification Gustriza Erda; Kurnia Ramadani
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4305

Abstract

The heatwave phenomenon has hit several countries in various parts of the world, caused by climate change. Climate change leads to greenhouse gas emissions increasing beyond the limits set by the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report Global Warming Potentials. This final project uses a combination of Neighborhood Component Analysis (NCA) and Support Vector Machine (SVM) methods with linear, polynomial, Radial Basis Function (RBF), and sigmoid kernel functions. The purposes of this final project are to evaluate the performance of NCA on SVM and to determine the best kernel function in this combination. Based on the analysis, it was found that classification using a combination of NCA and SVM methods can reduce variables, with the best kernel function being the Polynomial kernel function. This is because the analysis using the Polynomial kernel function achieved the highest accuracy values for training data, testing accuracy, and F1-Score, which are 98,96%, 99,15%, and 98,98% respectively. Additionally, the training analysis time and testing analysis time were the shortest at 0,15 seconds and 0,04 seconds.
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.
EXPLORATION OF STUDENTS INTERESTS IN MBKM AT RIAU UNIVERSITY USING A MACHINE LEARNING APPROACH Safitri, Nuraini; Zahra, Lathifah; Lafina, Melanie Maria; Erda, Gustriza; Yolanda, Anne Mudya
Parameter: Journal of Statistics Vol. 4 No. 2 (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.i2.17158

Abstract

This study aims to analyze the factors that have a significant influence on the interest of Riau University students in the Merdeka Belajar Kampus Merdeka (MBKM) program using a machine learning approach. MBKM is an innovation initiated by the Ministry of Education and Culture with the aim of improving student competence through its various programs. The Riau University as one of the universities supports this program by providing opportunities for its students to participate in various activities provided in the MBKM program. This study will specifically use a machine learning approach by utilizing several methods to analyze significant factors that have not been analyzed in depth by previous studies. The methods used in this analysis are logistic regression, decision trees, random forests, and naive bayes by utilizing secondary data on the level of interest of Riau University students to participate in the MBKM program in 2023. The variables used in this study include gender, generation, faculty, knowledge, self-confidence, feeling benefits, family support, friend support, lecturer support, self-ability, and facilities as independent variables and MBKM interest as a dependent variable. The results of the analysis of several methods show that the logistic regression method provides the best performance in modeling with an accuracy level of 95%. Variables that have a significant influence on students' interest in the MBKM program have also been successfully identified. The variables that have a significant effect are self-ability and family support. The development strategy of MBKM at the University of Riau can be optimized by paying attention to and focusing on these variables. The optimization of this strategy aims to make the implementation of the program more effective and efficient. Supportive policies such as workshops for the development of students' soft skills can be one of the strategic steps to improve students' abilities to the maximum
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.
Co-Authors Adia Syaputri Al Baihaqi, Habib Althoff Hibban Anisa, Rahmatul Anne Mudya Yolanda Arisman Adnan Ayu Sofia Dien, Zulfanita Dimas Abyan Fatkhin Al-Aswad Efendi, MHD Erie Sadewo Fandi Gusriyanda Ferdinan, Tri Agus Finda, Ingla Fitri Ramadhani Goldameir, Noor Ell Gumanti Gunawan , Chairani Indra, Zul Kholilah Samosir Kurnia Ramadani Lafina, Melanie Maria M. SYIFA RAMADHAN Mariza Mega Aulia, Sartika Miftahul Jannah Mistika, Lensi Musraini M Nurhaliza Nurhannifah Rizky Tampubolon Nusantri Purba Okta Bella Syuhada Pitri, Rizka Putri, Nelsa Rahmi, Afrilia Ramadani, Kurnia Rezzy Eko Caraka Rini Latifah Riris Putri Kinanti Rustam Efendi Safitri, Nuraini Sarasmita Apriyenti Simbolon, Veronika Amelia Sirait, Tesa Theresia Siregar, Nurainun Siti Farika Sari SITI SUHAILA Sukamto Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Tatik Widiharih Thearas, Lia Titi Solfitri Usdika, Radhiatul Khaira Wawan Sugiyarto Yenita Roza Yuciana Wilandari Zahra, Lathifah Zulya Erda