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All Journal Media Statistika Jurnal Pendidikan Sains Jurnal Inovasi Pendidikan Kimia Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Tadris Kimiya Orbital: Jurnal Pendidikan Kimia Journal of Natural Science and Integration Tarbawi : Jurnal Pendidikan Islam JURNAL EKSAKTA PENDIDIKAN (JEP) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Pembelajaran Sains Pelita Eksakta Journal of Educational Chemistry (JEC) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika BIOCHEPHY: Journal of Science Education Indo-MathEdu Intellectuals Journal Journal of Mathematics UNP Arfak Chem: Chemistry Education Journal Jurnal Pendidikan, Sains dan Teknologi UNESA Journal of Chemical Education UNP Journal of Statistics and Data Science Journal of Chemistry Education and Integration Jurnal Akademika Kimia Indonesian Journal of Statistics and Its Applications Jurnal Inovasi Pendidikan Kimia JES-TM Social and Community Service
Yenni Kurniawati
Jurusan Matematika, FMIPA Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Penerapan Metode Rating-Based Conjoint Analysis dalam Preferensi E-Wallet Mahasiswa Departemen Statistika Universitas Negeri Padang Putra, Dio Afdal; Dodi Vionanda; Yenni Kurniawati; Zamahsary Martha
UNP Journal of Statistics and Data Science Vol. 2 No. 4 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss4/222

Abstract

The rapid development of technology in the era of globalization has influenced the evolution of society's life in terms of economy, social, culture, and education, with the aim of facilitating daily activities, one of which is the ease of transactions using e-wallets. An e-wallet is a payment tool that uses a server-based system. Many factors influence a person's decision to use an e-wallet as a payment method, one of which is the level of security. To identify the factors that affect someone's use of e-wallets, one method is Rating-Based Conjoint Analysis (RBC). Therefore, this study aims to determine what influences a person to use an e-wallet, with the subjects being active students of the Statistics Department at Padang State University. The results of this RBC study indicate that the most influential factor on the e-wallet preferences of statistics students is security level, with a value of 37.70%, followed by transaction speed 23.17%, transfer fees at at 23.07%, features provided at 11.78%, and the least influential factor being promotions at 4.28%.
Early Marriage Factors Indonesian Using Spatial Regression Analysis permana, yazid; Dina Fitria; Yenni Kurniawati; Fadhilah Fitri
UNP Journal of Statistics and Data Science Vol. 2 No. 4 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss4/239

Abstract

Marriage is a sacred union recognized socially and religiously to form a family, as regulated by Law No. 16 of 2019. The percentage of early marriages in Indonesia continues to rise, reaching 21.5% in 2022, placing Indonesia 8th in the world according to UNICEF 2023 data. The increase in early marriages has significant impacts on maternal and child health and often leads to high divorce rates, with 516,334 cases in 2022. The aim of this research is to provide information and knowledge for students about early marriage and spatial regression. The main factors influencing early marriages are low education levels, economic difficulties, and environmental factors. Research shows that early marriages are highest in Kalimantan and Sulawesi, with spatial effects influencing the percentage of early marriages between regions.Spatial regression analysis, such as the Spatial Autoregressive (SAR) model, is used to examine the interactions between regions affecting early marriage. Spatial autocorrelation tests and spatial dependency effects show a spatial dependency effect, making the SAR model with queen contiguity weights the most suitable. The resulting model is considered quite good considering the R-squared value of 40.97%. The best-formed model shows that the Open Unemployment Rate (TPT) of youth is a significant variable that greatly impacts the percentage of early marriages. Therefore, the central and provincial governments are expected to pay more attention to the open youth unemployment factor to control and reduce the rate of early marriages in Indonesia.
Regularized Ordinal Regression with LASSO: Identifying Factors in Students' Public Speaking Anxiety at Universitas Negeri Padang Natasya Dwi Ovalingga, natasyalinggaa; Nonong Amalita; Yenni Kurniawati; Zamahsary Martha
UNP Journal of Statistics and Data Science Vol. 2 No. 4 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss4/316

Abstract

Public speaking anxiety is a common issue faced by students, particularly in academic settings. It may arise from a range of factors, including humiliation, physical appearance, preparation, audience interest, personality traits, rigid rules, unfamiliar role, negative result, and mistakes. This research seeks to determine the factors influencing different levels of public speaking anxiety among students at Universitas Negeri Padang through the application of ordinal regression with LASSO regularization. This method allows for automatic selection of significant variables and addressesmulticollinearity issues. The results indicate that eight factors influence low public speaking anxiety levels, while only six factors impact high public speaking anxiety levels. The ordinal regression model with LASSO penalty demonstrates good performance in classifying public speaking anxiety levels, achieving an accuracy of 71.33%. This study is expected to help students and educators better understand and manage public speaking anxiety, thereby enhancing public spekaing competence among students
Perbandingan Metode Naïve Bayes Dan K-Nearest Neighbors Dalam Mengklasifikasikan Indeks Pembangunan Manusia Menurut Kabupaten/ Kota di Indonesia Tahun 2022 Anggara, Rudi; Tessy Octavia Mukhti; Yenni Kurniawati; Dina Fitria
UNP Journal of Statistics and Data Science Vol. 2 No. 4 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss4/319

Abstract

The Human Development Index (HDI) is an indicator used to measure the success of efforts to improve the quality of human life in a particular region. Indonesia's HDI has increased every year, but the HDI in several districts/cities in Indonesia remains in the low category. The low HDI in these districts/cities is due to unequal development between regions in Indonesia. This disparity in development is influenced by HDI indicators as well as other factors. To address this issue, a decision system is needed to determine HDI categories using the Naive Bayes and KNN methods. Naive Bayes is applied with the assumption of Gaussian distribution, while KNN is implemented with the optimization of the nearest K value. Model performance evaluation is conducted to determine the best accuracy of the two methods using a confusion matrix. The analysis results show that the Naïve Bayes model outperforms the KNN algorithm in classifying the Human Development Index (HDI) by district/city in Indonesia for the year 2022, with Naïve Bayes achieving an accuracy of 93%. Therefore, the Naïve Bayes algorithm show good performance in terms of accuracy.
Mapping Indonesian Provinces Based on Leading Plantation Commodities with Export Potential Using Multidimensional Scaling Analysis Putri Yeni, Dicha; Tessy Octavia Mukhti; Yenni Kurniawati; Dina Fitria
UNP Journal of Statistics and Data Science Vol. 2 No. 4 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss4/327

Abstract

Indonesia, as an agrarian country, benefits significantly from its plantation subsector, which contributes substantially to the national economy. However, the processing of plantation products in Indonesia remains largely limited to raw or semi-finished goods, resulting in low added value and restricted income for both farmers and the nation. This study aims to map Indonesia's provinces based on the production of key plantation commodities with high export potential, utilizing the Multidimensional Scaling (MDS) analysis method. The research focuses on commodities such as pepper, palm oil, coconut, rubber, coffee, cocoa, clove, and tea. It seeks to group 34 Indonesian provinces based on similarities in plantation production, providing valuable insights for policymakers to enhance production and increase export value. The analysis calculates inter-provincial similarities to determine distances between objects and evaluates the accuracy of the MDS mapping using STRESS and R2 values. The findings indicate that 12 provinces share similarities in cocoa production, while 7 provinces are closely aligned in the production of pepper, rubber, and coffee. Furthermore, 5 provinces exhibit similarities in palm oil production, and 9 provinces demonstrate commonalities in the production of coconut, clove, and tea. The analysis achieved a STRESS value of 0.024 (2.4%) and an R2 value of 0.9994, indicating that the MDS mapping is highly reliable. However, the results do not fully align with field data, suggesting the need for orthogonal transformation through Principal Component Analysis (PCA) to improve accuracy.
DESIGN CHEMIMAGZ LEARNING MEDIA BASED ON CONTEXTUAL TEACHING AND LEARNING AS AN ALTERNATIVE LEARNING SOURCE ON ELEMENTAL CHEMISTRY MATERIAL Kurniawati, Yenni; Putri, Rihani Himtari; Rosya, Aljeneri; Rahmah, Ati
BIOCHEPHY: Journal of Science Education Vol. 4 No. 2 (2024)
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/biochephy.v4i2.1418

Abstract

This research was instigated by chemistry learning media at Islamic Senior High School of Anshor Al-Sunnah Air Tiris that were not various especially on Chemical Element lesson. This research aimed at developing valid and practical Contextual Teaching and Learning based on Chemimagz learning media. It was a Research and Development (R&D) with a 4-D (Define, Design, Development, and Disseminate) model. This research was administered at the Islamic Senior High School of Anshor Al-Sunnah Air Tiris. The subjects of this research were 2 validators (the experts in media and material), a chemistry subject teacher, and 10 students at the Islamic Senior High School of Anshor Al-Sunnah Air Tiris. Interview, validation, and practicality test questionnaires were the techniques of collecting the data. The data obtained were analyzed by using qualitative and quantitative descriptive tests. The research findings showed that the validity level was 90% by the expert of media (very valid) and 88.42% by the expert of material (very valid), the practicality level was 89.33% by a chemistry subject teacher (very practical), and 90.1% by 10 students (very practical). Based on the research findings, it could be concluded that the availability of Contextual Teaching and Learning based Chemimagz learning media on Chemical Element lesson was valid and practical to be a learning media, and it could be used as an alternative learning resource.
PENGARUH MODEL PEMBELAJARAN CASE BASED LEARNING TERHADAP KETERAMPILAN GENERIK SAINS SISWA PADA MATERI MINYAK BUMI Diyanti, Wafika Rahma; Refelita, Fitri; Kurniawati, Yenni
Journal of Chemistry Education and Integration Vol 3, No 2 (2024): Journal of Chemistry Education and Integration
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jcei.v3i2.32286

Abstract

AbstractScience generic skill is a basic thinking skill needed in learning science. Student science generic skill was on low category, so the appropriate learning model was needed to solve it. This research aimed at finding out the effect of Case Based Learning (CBL) model toward student science generic skill on Crude Oil lesson at the eleventh grade.  This research was conducted on Crude Oil lesson in the Academic Year of 2023/2024 at State Senior High School 3 Tapung. Quasi-experiment method was used in this research. The subjects of this research were 2 classes experiment and control groups, selected by using purposive sampling technique. Based on the research findings, posttest showed that the significance score (2-tailed) 0.038 was lower than 0.05, so it showed that there was a significant difference between experiment and control groups. Besides, N-gain mean of experiment group science generic skill was 0.52, and the control group was 0.41. Therefore, it could be concluded that CBL model affected student science generic skill on Crude Oil lesson at the eleventh grade. The research findings were expected to help teachers in increasing student science generic skill by using CBL model in the learning process.Keywords : Case Based Learning, Science Generic Skill, Crude Oil
Effectiveness of  Android-Based 3D Applications to Support Students' Mental Models on Molecular Geometry Material Putri Amalia Azzahra; Kurniawati, Yenni
Orbital: Jurnal Pendidikan Kimia Vol. 8 No. 2 (2024): Orbital: Jurnal Pendidikan Kimia
Publisher : Chemistry Education Department of Education and Teaching Faculty

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/ojpk.v8i2.25157

Abstract

The learning media in the form of Android needs an effectiveness test to find out its effectiveness in material implementation at school. The purpose of this research was to find out the efficacy of 3D Android-based Based Chemistry Learning Media in molecule form material on students' mental models if compared to common learning media used at the school. This research was conducted at MA Darul Hikmah Pekanbaru. The research method used was a mixed method with the research design of The Explanatory Sequential Model. The samples were selected based on the technique of simple random sampling on grade X students of MA Darul Hikmah Pekanbaru. The research instrument used was a two-tier diagnostic test supported by interviews. The data were processed by using the hypothesis test and N-Gain test. The research results showed that overall, the student's mental model in the experimental group that used 3D Android Application Learning Media had 63% intact mental model and 37% alternative mental model. In comparison, students in the control group obtained 22% intact mental model and 78% alternative mental model. The research findings also showed the hypothesis test, which obtained sig. Value (2-tailed) = 0.000, which means 0.000<0.05 until Ha is accepted and Ho is rejected. Based on the N-Gain test, the experimental group showed quite an effective category, with the percentage of N-Gain amounted to 60%. This showed that media updates and material enrichment are required in order to increase the students' mental model.
Analysis of Students' Psychomotoric Abilities in Daily Life -Based Practicum on Reaction Rate Material Fadzliana, Nanda; Kurniawati, Yenni
JEC Vol. 6 No. 2 (2024)
Publisher : Department of Chemistry Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jec.2024.6.2.21944

Abstract

The aim of this research is to analyzing students' psychomotor abilities in daily life -based practicums on reaction rate material. This research was carried out in the 2022/2023 academic year at Madrasah Aliyah Negeri 1 Kampar with the material Reaction Rate. The method used in this research is quantitative descriptive. The instruments used in this research were performance assessment sheets to determine students' psychomotor abilities and interviews to strengthen the data obtained. The results of data analysis show that the average psychomotor ability of students is 79.19. The highest average score obtained was in the naturalization domain with the very good category and the psychomotor ability with the lowest average score obtained was in the precision domain with the good category. The psychomotor indicator with the highest average score is assembling experimental equipment in the very good category, and the psychomotor indicator with the lowest average score is the indicator for splitting and smoothing solid substances in the good category. The psychomotor abilities of the students are mostly in the good category, which is 52% with the highest rating scale score being scale 4 with a good category, which is 59%. Daily life -based chemistry practical learning can make it easier for students to carry out practical work.
Design of Innovative Non-Routine Learning Strategies in Chemistry Learning Mujakir, Mujakir; Kurniawati, Yenni; Djamaluddin, Safrijal; Ahmad, Nur Jahan
Jurnal Tadris Kimiya Vol 9, No 2 (2024)
Publisher : Department of Chemistry Education, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jtk.v9i2.38029

Abstract

Traditional teaching methods in chemistry have been insufficient in helping students master problem-solving and conceptual understanding across the three levels of chemical representation: macroscopic, submicroscopic, and symbolic. Innovative strategies are needed to address these challenges and improve learning outcomes. This study evaluates the feasibility, practicality, and effectiveness of a non-routine learning strategy as an innovative approach to teaching chemistry. The research adopts the Gall and Gall Research and Development (R&D) model with a 3D design framework (Define, Design, Develop). The study involved chemistry education students from UIN Ar-Raniry Banda Aceh and UIN Sultan Syarif Kasim Riau. Data collection instruments included validation sheets to assess feasibility, observation sheets for practicality and effectiveness, as well as tests and related documents. The findings demonstrate that the non-routine learning strategy is valid, practical, and effective. It significantly enhances students' ability to solve problems and explain chemical concepts using the macroscopic, submicroscopic, and symbolic levels of representation. This non-routine learning strategy represents a feasible and effective innovation in chemistry education, providing a practical tool for improving students’ problem-solving skills and conceptual understanding. Its implementation offers valuable insights for advancing chemistry teaching practices.
Co-Authors Abdullah Herman Aditya, Muhammad Fadhil Aditya Admi Salma Afifa Lufti Insani Ahmad, Nur Jahan AL Rezki Ivansyah Alya Aufa, Wafiq Amelia Susrifalah Anang Kurnia Anggara, Rudi Anggi Adrian Danis Anita Fadila Anjelisni, Nining Annisa Ramadhani Aprotama, Celsy Ardhi, Sonia Ardiyatul Putri Arnellis Arnellis arrahmi, nailul Atus Amadi Putra Aulia Wanda Aulia, Yuke Aurumnisva Faturrahmi Berliana Nofriadi Bimbim Oktaviandi Celsy Aprotama Chairina Wirdiastuti Cindy Caterine Yolanda Darwas Deska Warita Devi Yopita Sipayung Dewi Murni Dewi, Sari Tirta Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Diva Diva Aliyah Diyanti, Wafika Rahma Djamaluddin, Safrijal Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Eujenniatul Jannah Fachri Dermawan Fadhil Irsyad, Muhammad Fadhilah Fitri Fadzliana, Nanda Fahmi Amri, Fahmi Fashihullisan Fatimah Depi Susanty Harahap Fayyadh Ghaly Fayza Annisa Febrianti Febiola Putri, Febi Fitri, Fadhilah Fitri, Fitri Hayati fitri, silfia wisa Fitri, Tessa Zulenia Ghaly, Fayyadh Hadiyanti Riskha Handayani, Laras Dyaz harelvi, dhea afrila Harpidna, Riska Harpidna Hary Merdeka Helma Helma Helma Helma Hendrawan, Muhammad Hendri, Jhon Ihsan Dermawan Irwan Irwan Khairani, Putri Rahmatun Kristi, Elizabeth Kusman Sadik Lina, Ejma Rukma Lutfian Almash M Fathoni Arnas Manja Danova Putri Marvero, Andre Maya Ifra Shobia Meira Parma Dewi Minora Longgom Nasution Muhammad Arief Rivano Mujakir Mujakir Mukhti, Tessy Octavia Mulyani, Suci NA Mentacem Nabillah, Marwana Natasya Dwi Ovalingga, natasyalinggaa Nonong Amalita Nugroho, Handi Wilujeng Oktaviani, Bernadita Permana, Dony permana, yazid Prida Nova Sari Putra, Dio Afdal Putra, Rama Dani Eka Putri Amalia Azzahra Putri Yeni, Dicha Putri, Fadhira Vitasha Putri, Rihani Himtari Rahma, Dzakyyah rahmad revi fadillah Rahmah, Ati Rahmawati, Santri Ramadani, Dea refelita, fitri Revina Rahmadani Riady, AD Risnawati Risnawati Rizki Amalia, Annisa Rizkiah, Niswatul Ronald Rinaldo Rosa Salsabila Azarine Rosya, Aljeneri Safitri, Natasya S. Salma, Admi Salsabilla Khairani Sari, Ceria Purnama Sari, Nurhikmah Sasmita, Riza Sepniza Nasywa Septrina Kiki Arisandi Silvia Triana Siregar, Erlina Azmi Siskha Maulana Basrul Siti Nurhaliza Sondriva, Wilia SRI RAHAYU Sri Wahyuni Suprianingsih, Nelis Susrifalah, Amelia Syafriandi Syafriandi Syafriandi Syafriandi Syahidah, Izzati Tessy Octavia Mukhti Tsani, Nahda Maesya Wimmi Sartika Windi Dwi Saputra Wita, Wita Resfi Ananta yenti, elvi Yunistika Ilanda Zamahsary Martha Zilrahmi, Zilrahmi