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All Journal Jurnal Pendidikan dan Konseling Imajiner: Jurnal Matematika dan Pendidikan Matematika ELP (Journal of English Language Pedagogy) Rangkiang Mathematics Journal UNP Journal of Statistics and Data Science
Fenni Kurnia Mutiya
Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Premi Tahunan Asuransi Long Term Care Dwiguna Menggunakan Model Multistate Fenni Kurnia Mutiya
Jurnal Pendidikan dan Konseling (JPDK) Vol. 5 No. 1 (2023): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v5i1.11828

Abstract

Asuransi pada saat ini berkembang sangat pesat. Salah produk yang ditawarkan adalah multiple decrement yang memberikan perlindungan terhadap banyak penyebab. Perhitungan model tersebut saat ini terbatas pada model mutual exclusive antar decrement. Pada kenyataannya, suatu decrement terjadi dapat ditentukan oleh decrement lainnya. Pada penelitian ini akan dikaji perumusan perhitungan premi dengan melibatkan kemungkinan perpindahan antar decrement model multistate untuk asuransi Long Term Care Dwiguna. Status decrement pada penelitian ini adalah sehat, kecelakaan, sakit golongan A, sakit golongan B dan meninggal. Contoh kasus yang digunakan adalah tertanggung berusia 35 tahun, masa asuransi 10 tahun dan Uang Pertanggungan sebesar Rp. 100.000.000. Besar premi tahunan yang harus dibayarkan untuk contoh kasus tersebut adalah sebesar Rp. 11.136. 290.
STUDENTS’ LISTENING COMPREHENSION IN TOEFL: A STUDY ON STUDENTS’ PERFORMANCE ACROSS THE SECTIONS Sepyanda, Marsika; Fenni Kurnia Mutiya; Chairina Wirdiastuti; Titiek Fujita Yusandra; Lucy Oktavani; Yummi Meirafoni
ELP (Journal of English Language Pedagogy) Vol. 10 No. 1 (2025): ELP (Journal of English Language Pedagogy)
Publisher : Universitas Mahaputra Muhammad Yamin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36665/elp.v10i1.994

Abstract

      This study examines students’ performance in the TOEFL listening comprehension test, focusing on their strengths and weaknesses across three sections: short conversations (Part A), long conversations (Part B), and short talks (Part C). There are 45 students registered in the course “Aplikasi Pendidikan Bahasa dalam Pembelajaran PJOK” on the odd semester in the 2024/2025 academic year participated in this study. The participants are chosen because the course integrates TOEFL-based language instruction, as outlined in the semester learning plan (RPS), where one of the students’ difficulties is listening skills. A descriptive quantitative research design was conducted over a three-week study period, with listening tests administered weekly during three class meetings. The tests used questions adopted from standardized TOEFL practice materials, which were selected based on their alignment with the test's objectives and validated by experienced English instructors for relevance and difficulty. Data analysis discovered that students consistently performed best in Part C, with average scores increasing from 53% to 65% across three tests, while Part B presented the most significant challenges, with scores improving from 43% to 54%. Part A showed moderate performance, with scores rising from 49% to 60%. These results show that there is also an improvement on each part of the test, attributed to repeated exposure to the test format and the development of listening strategies. However, the persistent difficulty in Part B suggests the need for targeted instructional interventions to address challenges in extended dialogues. It can be concluded that the students demonstrated general improvement in TOEFL listening comprehension across all sections. The repeated exposure can be an effective strategy performance in TOEFL listening comprehension.  
EFFORT MATTERS: EXPLORING INDONESIAN UNIVERSITY STUDENTS’ SELF-EFFICACY IN ENGLISH LEARNING Sepyanda, Marsika; Fenni Kurnia Mutiya; Elviza Yeni Putri; Lucy Oktavani
ELP (Journal of English Language Pedagogy) Vol. 10 No. 2 (2025): ELP (Journal of English Language Pedagogy)
Publisher : Universitas Mahaputra Muhammad Yamin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36665/elp.v10i2.1077

Abstract

       Self-efficacy plays a crucial role in shaping students' motivation and performance, particularly in the context of learning a foreign language such as English. Guided by Bandura’s (1997) social cognitive theory, this study explores Indonesian university students’ self-efficacy beliefs in English learning, with a specific focus on the role of effort-related beliefs. This study aims to explore university students' self-efficacy in English learning by analyzing their beliefs and confidence levels toward their language learning abilities. The respondents consisted of 129 students enrolled in a compulsory General English course in Universitas Negeri Padang, selected from a population of 308 students using a simple random sampling technique. A questionnaire comprising 25 items based on a Likert scale was administered to measure students’ self-efficacy. The validity and reliability of the instrument were confirmed through Pearson Product-Moment correlation and Cronbach’s Alpha (? = 0.7926), indicating strong internal consistency. Data analysis revealed that the average self-efficacy score was 3.29, which falls into the moderate category. The highest-rated statement indicated students' belief that effort leads to improvement, while the lowest-rated item reflected a sense of helplessness regardless of effort. These results suggest that while students believe in their potential to succeed in English learning through hard work, some still struggle with negative self-perceptions. The findings emphasize the importance of addressing students' self-efficacy beliefs to enhance their learning outcomes. Educational interventions that foster self-awareness, goal-setting, and motivational strategies may contribute positively to increasing self-efficacy in language learning. This study contributes to the growth of the literature on EFL self-efficacy in Indonesia. It is suggested that the lecturers to support students’ confidence and autonomy in acquiring English as a foreign language.
Analisis K-Means Clustering pada Sarana dan Perlengkapan Fasilitas KB di Provinsi Sumatera Barat Tahun 2024 Fadilah, Salwa Hifa; Amalita, Nonong; Mutiya, Fenni Kurnia
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.25725

Abstract

The Family Planning Program (KB) is crucial for improving family welfare and controlling population growth. The program's success is largely determined by the availability of evenly distributed family planning facilities and equipment across all regions. This study aims to categorize districts and cities in West Sumatra Province based on the availability of these facilities and equipment to identify areas requiring priority intervention. K-means clustering was used with 10 types of family planning facilities and equipment as the variables. The results showed that two clusters were optimal, with the lowest DBI = 0,7239. The first cluster consisted of ten districts/cities with relatively low facility availability, and the second cluster included nine districts/cities with more adequate facilities.
Life Insurance Premium Calculation Using Markov Chain for Hypertension Patients in Indonesia Mutiya, Fenni Kurnia; Sepyanda, Marsika
Rangkiang Mathematics Journal Vol. 5 No. 1 (2026): Rangkiang Mathematics Journal
Publisher : Department of Mathematics, Universitas Negeri Padang (UNP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rmj.v5i1.84

Abstract

Long-term care insurance provides death benefits if the insured dies and benefits for medical care costs during the coverage term. One of the products of this insurance is the Annuity Rider, as the Benefit can be modelled with a multi-state model. This paper discusses the calculation of annual premiums with Annuity riders as a Benefit product using a multi-state model for hypertension patients in Indonesia.  The premium calculation also utilised Markov Chain transition probabilities. The data used in the Report Survey Kesehatan Indonesia in 2023. The case study was conducted on a 40-year-old male in good health, with LTC insurance coverage for 5 years. It was known that the compensation amount for someone who died was IDR 200,000,000, and the interest rate was 7%. By calculating premiums using the multi-state model, the results yielded an annual premium of IDR 6,486,998. The result of this premium calculation is that the older someone is when they take out insurance, the greater the annual net premium they must pay.
Comparison of Nadaraya-Watson and Local Polynomial Methods in Analyzing the Relationship Between Consumer Price Index and Inflation in South Kalimantan Salwa Hifa Fadilah; Fadhilah Fitri; Fenni Kurnia Mutiya
UNP Journal of Statistics and Data Science Vol. 3 No. 3 (2025): 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/vol3-iss3/401

Abstract

This study compares the performance of two nonparametric regression methods, namely Nadaraya-Watson and Local Polynomial, in analyzing the relationship between the Consumer Price Index (CPI) and inflation in South Kalimantan Province. Nonparametric approaches were chosen for their greater flexibility in capturing nonlinear relationships that conventional parametric models may fail to explain. The data were obtained from the Central Statistics Agency (BPS) for the period from January 2022 to December 2024, with missing values in the inflation variable handled through mean imputation. The optimal bandwidth was selected using the direct plug-in method (dpill).Visually, the Nadaraya-Watson method produced a more fluctuating curve that is highly sensitive to local variations, while the Local Polynomial method yielded a smoother and more stable curve. Quantitatively, the Local Polynomial method demonstrated better performance with lower MSE (0.1839), MAE (0.3507), and a higher R² (0.1811) compared to Nadaraya-Watson. These findings indicate that the Local Polynomial method is more effective in balancing curve flexibility and stability. This study also addresses a methodological gap by highlighting the relevance of nonparametric approaches in regional economic analysis. Future research is encouraged to explore alternative bandwidth selection methods and different kernel functions to improve estimation accuracy.
Peramalan Konsentrasi PM2.5 di Kota Medan Menggunakan Metode ARIMAX dengan Faktor Meteorologi sebagai Variabel Eksogen Fauzan Arrahman; Tessy Octavia Mukhti; Dony Permana; Fenni Kurnia Mutiya
UNP Journal of Statistics and Data Science Vol. 3 No. 4 (2025): 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/vol3-iss4/429

Abstract

Particulate Matter 2.5 (PM2.5) is a fine particle measuring less than 2.5 micrometers which is dangerous for human health because it can penetrate the respiratory system and cause cardiovascular disorders. High PM2.5 concentrations reflect a decline in air quality, so forecasting efforts are needed to support pollution control and environmental policies. This study aims to forecast daily PM2.5 concentrations in Medan City using the Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) method by considering meteorological factors as exogenous variables. The data used consist of PM2.5 concentrations and average temperature, humidity, rainfall, and wind speed data for the period from June 1, 2024 to June 10, 2025. The analysis results show that the best model is ARIMAX (4,1,0) with exogenous variables of average temperature and rainfall, where temperature has a positive effect and rainfall has a negative effect on PM2.5. This model meets the assumptions of white noise and residual normality, with a MAPE value of 20.635%, indicating a fairly good level of forecasting accuracy. The forecasting results show PM2.5 concentrations in the range of 19–26 µg/m³ with a downward trend at the end of June 2025, indicating improved air quality in Medan City. Thus, the ARIMAX method with meteorological factors is considered effective in modeling and forecasting PM2.5 dynamics in urban areas.
Co-Authors Chairina Wirdiastuti Dony Permana Elviza Yeni Putri Fadhilah Fitri Fadilah, Salwa Hifa Fauzan Arrahman Lucy Oktavani Nonong Amalita Salwa Hifa Fadilah Sepyanda, Marsika Tessy Octavia Mukhti Titiek Fujita Yusandra Yummi Meirafoni