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All Journal Media Statistika Jurnal Ilmu Dasar JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Sainstek SAINSMAT Jurnal Sains Dasar CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Pendidikan Matematika RAFA Edu Sains: Jurnal Pendidikan Sains dan Matematika JMPM: Jurnal Matematika dan Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Transformasi : Jurnal Pendidikan Matematika dan Matematika Vygotsky: Jurnal Pendidikan Matematika dan Matematika MES: Journal of Mathematics Education and Science (JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Syntax Idea Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jambura Journal of Mathematics Education Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Jambura Journal of Biomathematics (JJBM) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi International Journal of Health, Economics, and Social Sciences (IJHESS) Griya Journal of Mathematics Education and Application Journal of Science and Technology JES-MAT (Jurnal Edukasi dan Sains Matematika) Pakem : Jurnal Pengabdian Kepada Masyarakat Journal of Fundamental Mathematics and Applications (JFMA) Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Journal of Artificial Intelligence and Digital Business Euclid Jurnal Matematika Integratif Lemma: Letters of Mathematics Education Hexagon: Jurnal Ilmu dan Pendidikan Matematika Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Indonesian Journal of Computational and Applied Mathematics SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Lailany Yahya
Universitas Negeri Gorontalo
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Implementasi Algoritma Random Forest dengan Forward Selection untuk Klasifikasi Indeks Pembangunan Manusia Posangi, Tiara; Yahya, Lailany; Wungguli, Djihad
Jambura Journal of Probability and Statistics Vol 4, No 2 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v4i2.18460

Abstract

Development is essentially a process of continuous change carried out to achieve better living condition. So that the benchmark for the success of a development is seen in its human development. 3 The basic dimensions that form human development are long and healthy life, knowledge, and a decent life. The indicators that represent the three dimensions are summarized in a single value, namely the Human Development Index (IPM). In 2021 the HDI figure in Indonesia is 72.29, which means it is high. However, due to the diverse geographical location of regions in Indonesia, this also influences the HDI rate in each region in Indonesia, so this study uses the Random Forest Algorithm to obtain accurate results from the HDI classification and uses Forward Selection to determine features that influence the classification. The results of the study show that the features that influence the classification are per capita spending, expected length of schooling, life expectancy, and average length of schooling, and get a final accuracy of 80%.
Analisis Dinamik Model Penyebaran COVID-19 dengan Vaksinasi Resmawan, Resmawan; Yahya, Lailany; Pakaya, Revandi S.; Panigoro, Hasan S.; Nuha, Agusyarif Rezka
Jambura Journal of Biomathematics (JJBM) Volume 3, Issue 1: June 2022
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjbm.v3i1.13176

Abstract

Coronavirus Disease 2019 (COVID-19) is a new type of virus from a large family of viruses transmitted between humans and animals (zoonotically transmitted) that was first discovered in Wuhan City, Hubei Province, China in late 2019 which is still widespread and threat throughout the world including Indonesia. This article discussed about the mathematical model of the spread of COVID-19 with vaccinations. In this case, the human population is divided into 5 classes, namely the suspected, vaccine, exposed, infected and recovered classes. The constructed model forms an SVEIR model that has two equilibrium points, namely disease-free and endemic equilibrium points. Stability analysis shows that the equilibrium point is stable local and global asymptotic if R0 1 and unstable if R0 1. Then a sensitivity analysis was carried out to determine the parameters that greatly affect the model as well as furthermore, numerical simulations are given to describe the behavior of the model that has been obtained based on the analysis of the sensitivity of basic reproductive numbers, obtained several parameters that affect the spread of COVID-19. Numerical simulation results show that vaccination can suppress the addition of infected populations and depend on the level of effectiveness of vaccination.
Analisis dinamik model predator-prey tipe Gause dengan wabah penyakit pada prey Ibrahim, Rusdianto; Yahya, Lailany; Rahmi, Emli; Resmawan, Resmawan
Jambura Journal of Biomathematics (JJBM) Volume 2, Issue 1: June 2021
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjbm.v2i1.10363

Abstract

This article studies the dynamics of a Gause-type predator-prey model with infectious disease in the prey. The constructed model is a deterministic model which assumes the prey is divided into two compartments i.e. susceptible prey and infected prey, and both of them are hunted by predator bilinearly. It is investigated that there exist five biological equilibrium points such as all population extinction point, infected prey and predator extinction point, infected prey extinction point, predator extinction point, and co-existence point. We find that all population extinction point always unstable while others are conditionally locally asymptotically stable. Numerical simulations, as well as the phase portraits, are given to support the analytical results.
Application of the Monte Carlo Method to Pricing Lookback Fixed Option with Stochastic Volatility Hidayanti, Sri Amalia; Rahmi, Emli; Yahya, Lailany
Indonesian Journal of Computational and Applied Mathematics Vol. 1 No. 1: February 2025
Publisher : Gammarise Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64182/indocam.v1i1.6

Abstract

Options are a derivative product that trades the right to call and put on an asset at a certain price and during an agreed time. Determining the optimal option price is often difficult due to changes in stock prices. One model that can be used to calculate the price of Lookback Fixed options is the Monte Carlo Method with stochastic volatility of the Heston model, with parameter estimation using Ordinary Least Squares (OLS), and Euer-Maruyama and calculation of the effect of initial stock price, strike, and maturity time. The estimated stock price is then used to calculate the Lookback Fixed option price using the Monte Carlo method. The research results obtained good results with a fairly small error rate. In addition, the analysis of the effect of strike price, strike, and maturity time shows results consistent with option pricing theory.
Prediksi Jumlah Calon Mahasiswa Baru Menggunakan Metode Fuzzy Time Series dan ARIMA: Studi Kasus: Program Studi Statistika Aprina Manggarai; Lailany Yahya; Agusyarif Rezka Nuha
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Oktober : Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i5.829

Abstract

Academic planning is one form of planning the teaching and learning process in state universities, aimed at achieving educational goals based on the standards set. One important aspect of academic planning is forecasting the number of new students. This study compares two forecasting methods, Fuzzy Time Series (FTS) and Autoregressive Integrated Moving Average (ARIMA), in predicting the number of new students in the Statistics Study Program at Universitas Negeri Gorontalo. Forecasting the number of new students is crucial for determining various policies, such as resource allocation and providing adequate facilities. The results of the study show that the ARIMA method produces more accurate predictions with a Mean Absolute Percentage Error (MAPE) of 0.35%, which is lower than the FTS method. This indicates that ARIMA is more effective in predicting the number of new students in the Statistics Study Program at Universitas Negeri Gorontalo and can serve as a reference to improve academic planning quality in higher education institutions.
Penerapan Multilayer Perceptron (MLP) untuk Klasifikasi Citra Kue Karawo Berdasarkan Fitur Tekstur GLCM dan Warna HSV di Viana Cookies Ilato, Mutiara; Yahya, Lailany; Abdussamad, Siti Nurmardia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4243

Abstract

Kue karawo merupakan salah satu produk pangan tradisional khas Provinsi Gorontalo yang memiliki nilai budaya sekaligus potensi ekonomi. Penilaian kualitas kue karawo selama ini masih dilakukan secara visual dan manual, sehingga sangat bergantung pada subjektivitas penilai dan berisiko menimbulkan ketidakkonsistenan hasil, terutama pada proses produksi dalam jumlah besar. Penelitian ini bertujuan untuk mengklasifikasikan kualitas kue karawo secara otomatis dengan memanfaatkan citra digital dan algoritma Multilayer Perceptron (MLP). Karakteristik kualitas kue direpresentasikan melalui fitur tekstur dan warna, di mana fitur tekstur diekstraksi menggunakan Gray Level Co-occurrence Matrix (GLCM) yang meliputi energy, contrast, correlation, dan homogeneity, sedangkan fitur warna diperoleh dari model Hue, Saturation, dan Value (HSV). Data citra yang digunakan berasal dari Viana Cookies dan telah melalui tahapan praproses serta normalisasi menggunakan metode Z-score sebelum dilakukan pelatihan dan pengujian model. Evaluasi kinerja klasifikasi dilakukan menggunakan confusion matrix dengan indikator akurasi, presisi, dan recall. Hasil pengujian menunjukkan bahwa model MLP mampu memberikan kinerja yang cukup baik dengan nilai akurasi sebesar 80,72%, presisi 72,73%, dan recall 77,42%. Hasil ini menunjukkan bahwa kombinasi fitur tekstur GLCM dan warna HSV efektif digunakan dalam mengklasifikasikan kualitas kue karawo. Secara praktis, penelitian ini diharapkan dapat menjadi dasar pengembangan sistem pendukung keputusan dalam pengendalian kualitas produk kue karawo secara objektif dan efisien.
The Effect of Geometry Concrete Learning Media on Students’ Mathematics Learning Outcomes Dotu, Fadila; Yahya, Lailany; Damayanti, Taulia
(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Vol. 9 No. 1 (2026): VOLUME 9 NUMBER 1, MARCH 2026
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jiml.v9i1.30472

Abstract

Mathematics is often perceived as a difficult subject because many of its concepts are abstract and difficult for students to visualize. The use of appropriate learning media is therefore essential to support students’ conceptual understanding, particularly in geometry topics such as plane figures. This study aims to investigate the effect of concrete object learning media on the mathematics learning outcomes of Grade VII students at SMPN 2 Suwawa. This research employed a quasi-experimental method using a Pretest–Posttest Control Group Design. The sample consisted of 36 students selected through simple random sampling and divided into an experimental group and a control group. The experimental group was taught using the Contextual Teaching and Learning (CTL) model supported by concrete object media, while the control group received CTL instruction without concrete media. Data were collected using pretests and post-tests in the form of essay questions to measure students’ cognitive understanding of plane geometry. Instrument validity and reliability were tested prior to data analysis, which included descriptive statistics and inferential tests such as normality, homogeneity, and independent t-tests. The results show that students in the experimental group achieved significantly higher post-test scores (mean = 88.27) than those in the control group (mean = 64.50). The hypothesis testing revealed a calculated t-value of 6.1028, exceeding the critical t-value of 1.691, with a very strong effect size (Cohen’s d = 2.1985). In conclusion, the use of concrete object media within the CTL model significantly improves students’ mathematics learning outcomes. This approach is effective in creating meaningful and active learning experiences, particularly for abstract mathematical topics such as plane figures.
Reformulasi dan Pembuktian Teorema Menelaus menggunakan Variabel Kompleks Deny Ardika Prasetyo; Asriadi; Lailany Yahya
Research Review: Jurnal Ilmiah Multidisiplin Vol. 5 No. 1 (2026): Research Review: Jurnal Ilmiah Multidisiplin (Februari 2026 - Juli 2026)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v5i1.340

Abstract

This study aims to reformulate and prove Menelaus’s Theorem using a complex variable approach. In classical Euclidean geometry, Menelaus’s Theorem states that three points, each lying on a side or the extension of a side of a triangle, are collinear if and only if the product of the ratios of the lengths of the resulting line segments equals one. Through a complex algebraic approach, this study systematically reorganizes the proof of the theorem and represents the geometric structure of triangles and straight lines in the complex plane. The representation of points and line segments, along with the use of fundamental properties such as conjugates and modulus, is employed to prove the theorem analytically. The findings of this study confirm that the use of complex variables provides an efficient analytical framework for deriving geometric proofs, resulting in a more systematic logical flow compared to the classical geometric approach. This study offers a new perspective on the development of modern geometry and opens up opportunities for further exploration in the application of complex variables to solve other geometric problems.
Implementation of Graph Coloring With Region Coloring on the Sulut-Go Map Using the Welch Powell Algorithm Excel Muhammad Hendri; Lailany Yahya; Nisky Imansyah Yahya
Syntax Idea Vol. 8 No. 1 (2026): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntaxidea.v8i1.14541

Abstract

Graph coloring is a technique for assigning colors to vertices so that no two adjacent vertices share the same color. This study implements region coloring on the map of North Sulawesi and Gorontalo (Sulut-Go) using the Welch-Powell algorithm, a method based on the highest vertex degree. The research employs a quantitative-descriptive approach with an algorithmic experimental method. Administrative region data and regional boundary connections in the Sulut-Go provinces are converted into graph form, with regencies/cities as vertices and connecting roads as edges. The procedures include data collection, graph construction, degree calculation, coloring using the Welch-Powell algorithm, and chromatic number determination. The results show that the Sulut-Go map consists of 18 regencies/cities represented as vertices. After implementing the Welch-Powell algorithm, the graph coloring produced a chromatic number of χ(G) = 3, meaning all regions can be colored using only three different colors. The coloring was applied with red, yellow, and green, ensuring that no adjacent regions share the same color. Vertex V15 (Minahasa) has the highest degree, with five connections. This study successfully demonstrates that the Welch-Powell algorithm effectively solves the region-coloring problem on the Sulut-Go map. In conclusion, graph coloring using the Welch-Powell algorithm can be effectively applied to color regional maps, facilitating visual distinction between adjacent areas. The chromatic number χ(G) = 3 indicates the minimum number of colors needed for the Sulut-Go map. This research contributes to the application of graph theory in cartography. Further research is recommended for larger-scale applications such as islands or countries, as well as for edge coloring and social network analysis.
Anxiety Contributing Factors in College Students during the Final Project: Ordinal Logistic Regression Analysis Ni Wayan Tiarawati; Lailany Yahya; Amanda Adityaningrum; Putri Ayuningtias Mahdang; Nikmatisni Arsad; Siti Nurmardia Abdussamad; Muhammad Rezky Friesta Payu; Salmun K. Nasib
International Journal of Health, Economics, and Social Sciences (IJHESS) (Special Issue) - International Journal of Health, Economics, and Social Sciences (IJHESS) - January
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6964

Abstract

The prevalence of anxiety disorders among university students is high, particularly during periods of high stress, such as when students are completing their final projects. This research aimed to investigate how self-confidence and anxiety levels relate among students working on their final projects at the Statistics Department at Universitas Negeri Gorontalo. Research was conducted on 86 students aged 21-26 years old using an online questionnaire. Self-confidence, self-efficacy, and social support were independent variables, while anxiety levels (mild, moderate, and severe) were dependent variables. Self-confidence was found to be significantly correlated with anxiety levels, while self-efficacy and social support were not significantly correlated. The result of ordinal logistic regression analysis indicated that students with high self-confidence were 0.13 times more likely to experience mild or moderate anxiety compared to those with moderate self-confidence. Those with high levels of self-confidence, however, are more likely to suffer from severe anxiety (26%) than those with moderate levels of self-confidence (4%). In certain academic situations, high self-confidence may not be a hindrance against anxiety. A more comprehensive understanding of anxiety will require further research considering additional factors that contribute to anxiety, factors that were not considered in this study.
Co-Authors Abdul, Nur Safitri Agusyarif Rezka Nuha Akolo, Ingka Rizkiyani Aliwu, Randa Resvitasari Alvitha Habibie Amanda Adityaningrum Anisa, Lia Nur Anissa Dwi Wijayanti Aprina Manggarai Armayani Arsal Asriadi Bertu Rianto Takaendengan Cindy Aisa Putri Noor D Une, Putri Mutia Deny Ardika Prasetyo Dewi Rahmawaty Isa Djihad Wungguli Dotu, Fadila Excel Muhammad Hendri FAHREZAL ZUBEDI Febriyana Taki Franky Alfrits Oroh Fuji Fauzia Kiayi Gusasi, Dewita Harun, Artika Rahayu Hasan S. Panigoro Hendro Budi Santoso Herlina Jusuf Hidayanti, Sri Amalia Ibrahim, Rusdianto Ifan Wiranto Ilato, Mutiara Indrawati Lihawa Ingka Rizkiyani Akolo Ismail Djakaria Ismail, Minton Isran K Hasan Jusuf, Anryan Karina Anselia Mamonto Kartin Usman Kaune, Nurlaila Kobandaha, Putri Ekawaty kodai, Muhaimin La Ode Nashar Ladjali, Sri Indriani Laita, Nazrilla Hasan Lanto Ningrayati Amali Mahading, Tria Susilowati Mahmud, Sri Lestari Majid Masra Latjompoh Meilan Sigar Melasarah Deswita Rahmadi Miranti H. Kasim Moh Dody Afandi Rauf Mohamad, Regina mohammad syafri tuloli Muftih Alwi Aliu Muhammad Rezky F. Payu Nancy Katili Naue, Siti Nurmeylisya Ni Wayan Tiarawati Nikmatisni Arsad NISKY IMANSYAH YAHYA Nisky Imansyah Yahya Nisky Imansyah Yahya Novianita Achmad Nurhayati Abbas Nursiya Bito Nurwan Nurwan Nurwan, Nurwan Olii, Isran R. Pakaya, Revandi S. Perry Zakaria Posangi, Tiara Prasetyo Usman Putri Ayuningtias Mahdang Rahmat Rajib Kasim Rahmi, Emli Ramadiana, Anastasya Randi Mooduto Randi Mooduto Rasmawati Rasmawati Rauf, Moh Dody Afandi Resmawan Resmawan Salmun K. Nasib Salmun K. Nasib Sari, Lia Nanda Sari, Septi Rahmita Sembiring, Rinawati Siti Maryam Barham Siti Nurmardia Abdussamad Sitria Jemin Smily Windharta Oei Sri Ayu Nurdin Sri Maryam Mohungo Sri Meylanti S. Ali Sumarno Ismail Sumarno Ismail Syamsu Qomar Badu Taulia Damayanti Tedy Machmud Tria Susilowati Mahading Utina, Fitriani Yulinar Rahman Yusuf, Putria Zulmagfir Buako