Journal Title Journal of Mathematics UNP P-ISSN/ E-ISSN 2355-1658/ 2807-3460 Frequency 4 Issues Per Year Editor-in-Chief Rara Sandhy Winanda, S.Pd., M.Sc. (Universitas Negeri Padang, Indonesia) Organized /Collaboration Organized by Department of Mathematics- Universitas Negeri Padang (UNP) Citation Analysis Google Scholar Journal of Mathematics UNP is a peer reviewed and scientific journal in mathematics journal to publish some related research in mathematics. This journal publish four time a year, those are in march, June, September, and December. Submissions are selected and processed by the editorial board. The published articles are manuscripts that have passed the selection process. Altough most of articles are from our students' article, we also kindly process others article that suitable with ours requirements.
Authors who publish articles in UNPjoMath (Journal of Mathematics UNP) agree to the following terms: Authors retain copyright of the article and grant the journal right of first publication with the work simultaneously licensed under a CC-BY-SA or The Creative Commons Attribution–ShareAlike License. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Klasifikasi Kesehatan Koperasi Di Sumatera Barat Tahun 2023 Dengan Metode K-Nearest Neighbour
Koperasi merupakan institusi ekonomi yang memiliki peran dalam mendukung kesejahteraan masyarakat secara kolektif. Namun untuk memastikan keberlanjutan koperasi maka perlu diadakan pemeriksaan kesehatan koperasi. Proses penilaian kesehatan koperasi membutuhkan sistem pengklasifikasian data guna membantu proses pengambilan keputusan penilaian kesehatan koperasi di Sumatera Barat. Metode KNN dipilih karena kemampuanya yang tinggi dalam mengklasifikasikan data berdasarkan pola tertentu dan memberikan hasil yang akurat. Penelitian ini bertujuan menganalisis hasil klasifikasi serta tingkat akurasi menggunakan metode KNN dan pemilihan k optimal dengan metode Elbow. Dari 84 data testing diperoleh 80 data tepat klasifikasi dan terdapat 4 data tidak tepat klasifikasi. Hasil klasifikasi 80 data tersebut diperoleh 62 koperasi berstatus sehat, lalu 1 koperasi cukup sehat, kemudian 11 koperasi kurang sehat, dan 6 koperasi tidak sehat dengan tingkat akurasi sebesar 95%. Sedangkan untuk pemilihan nilai k optimal menggunakan metode Elbow diperoleh sebesar 96% dengan nilai k = 3 kata kunci : Koperasi, Klasifikasi, K-Nearest Neighbour, Elbow
Copyright (c) 2025 Journal of Mathematics UNP http://creativecommons.org/licenses/by-nc-sa/4.0
Peramalan Produksi Buah Manggis Provinsi Sumatera Barat dengan Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown
Buah manggis termasuk ke dalam buah tropis yang menjadi salah satu komoditas ekspor Indonesia yang memiliki banyak manfaat. Sumatera Barat merupakan salah satu provinsi dengan jumlah produksi buah manggis 10 terbesar di Indonesia. Penelitian ini bertujuan untuk membentuk model dan meramalkan produksi buah manggis provinsi Sumatera Barat tahun 2024-2028 dengan menggunakan metode pemulusan Eksponensial tripel tipe Brown. Metode ini merupakan sebuah teknik peramalan kuantitatif yang memanfaatkan satu parameter, yaitu dalam perhitungannya. Hasil analisis dan pengolahan data mendapatkan hasil ramalan jumlah produksi untuk tahun 2024-2028 secara bertuturut-turut yaitu 65.684,92198 ton, 70.900,28032 ton, 76.291,07833 ton, 81.857,31599 ton, dan 87.598,99331 ton.
Penerapan Metode Seasonal Autoregressive Integrated Moving Average Dalam Meramalkan Jumlah Penumpang Kereta Api Indonesia (Persero) Divisi Regional II Sumatera Barat
Kereta api merupakan salah satu angkutan darat yang paling diminati masyarakat Sumatera Barat untuk bepergian. Berdasarkan catatan dari PT. KAI terdapat peningkatan jumlah penumpang pada bulan-bulan tertentu, seperti pada periode libur semester atau pada periode yang mencakup hari libur nasional di dalamnya. Pada periode tersebut biasanya sebagian penumpang kereta api tidak mendapatkan tempat duduk. Apabila hal ini dibiarkan maka akan berdampak kepada turunnya minat penumpang untuk menggunakan transportasi kereta api. Penelitian ini bertujuan untuk mendapatkan hasil ramalan jumlah penumpang kereta api pada Oktober 2024 sampai September 2025 berdasarkan model terbaik yang terpilih. Metode yang digunakan pada penelitian ini yaitu Seasonal Autoregressive Integrated Moving Average. Hasil penelitian menunjukkan bahwa model terbaik untuk peramalan adalah . Berdasarkan model ini, jumlah penumpang kereta api diperkirakan berkisar antara 149.799 hingga 192.338, dengan jumlah tertinggi diprediksi terjadi pada Desember 2024.
Peramalan Produksi Kelapa Sawit Menggunakan Metode ARIMA Pada PT Agro Muko
Jumlah produksi kelapa sawit merupakan faktor krusial yang memengaruhi operasional dan profitabilitas perusahaan perkebunan, termasuk PT Agro Muko. Fluktuasi produksi bulanan menjadi tantangan dalam perencanaan dan pengambilan keputusan strategis, sehingga diperlukan metode peramalan yang akurat. Penelitian ini bertujuan untuk membentuk model peramalan produksi kelapa sawit di PT. Agro Muko menggunakan metode Autoregressive Integrated Moving Average dan meramalkan hasil produksi pada tahun 2025. Penelitian ini menggunakan data sekunder dari PT Agro Muko selama periode Januari 2020 hingga Desember 2024. Tahapan analisis mencakup identifikasi model, estimasi parameter, uji diagnostik, dan peramalan menggunakan model terbaik. Hasil penelitian menunjukkan bahwa model ARIMA(1,1,0)(2,1,1)12 merupakan model yang paling tepat untuk peramalan. Berdasarkan model tersebut, produksi tertinggi diperkirakan terjadi pada bulan Juni sebesar 12.350.576 kg dan terendah pada bulan Januari sebesar 7.564.886 kg.
Estimasi Pengukuran Risiko Menggunakan Metode Conditional Value At Risk Pada Investasi Saham Indonesia Dengan Pendekatan Generalized Pareto Distribution
Conditional Value at Risk (CVaR) merupakan perkiraan risiko kerugian yang melebihi tingkat Value at Risk (VaR). VaR adalah salah satu metode pengukuran risiko saham yang paling umum digunakan untuk menilai risiko investasi besar. Extreme Value Theory (EVT) adalah metode yang digunakan untuk menganalisis data yang mengandung nilai ekstrim. Tujuan EVT adalah memperkirakan kemungkinan terjadinya peristiwa ekstrem dengan memeriksa ujung distribusi berdasarkan nilai ekstrim yang diamati. Salah satu distribusi umum yang digunakan dalam EVT yaitu Generalized Pareto Distribution (GPD). Penelitian ini bertujuan untuk mengetahui perkiraan tingkat kerugian yang mungkin dialami investor ketika berinvestasi pada portofolio saham yang terdiri dari saham ADRO. JK, ITMG.JK, DAN BMRI.JK. Pada penelitian ini metode L-Moment diterapkan untuk mengestimasi parameter GPD. Berdasarkan analisis CVaR menggunakan pendekatan GPDP didapatkan estimasi kerugian portofolio saham sebesar 4,353%. Berdasarkan uji bactesting untuk mengentahui validas resiko didapatkan nilai chi-square yang berarti hasil risiko yang didapatkan valid.
Penggunaan Regresi Dummy Untuk Penentuan Faktor-faktor Yang Mempengaruhi Harga Sewa Rumah Kos
Boarding house are a basic necessity that must be owned as a temporary residence for students who wish to continue their studies outside the city or outside the area where they live. This research aims to determine the factors that significantly influence the rental price of a boarding house. This research was applied research, the type of data is primary data with a research instrument in the form of a questionnaire that has been tested for validity and reliability. The population in this study were mathematics department students with 88 respondents as samples. The data analysis used is multiple linear regression analysis, stepwise method, taking into account the influencing factors, namely travel distance, facilities, security and cleanliness as independent variables. Based on the results of the study that the variables that influence boarding house rental price in this study were the safety of the boarding house, the distance from the boarding house to FMIPA and the cleanliness of the boarding house.
Suatu Telaah terhadap Metode Ferrari untuk Menentukan Akar dari Persamaan Kuartik
A polynomial equation with the highest power of four is called a quartic equation, which has the general form. A common problem with equations is finding the roots, that is the values of that satisfy the equation. This research aims to determine the roots of quartic equations analytically using the Ferrari method. The steps involved are reviewing the method, analyzing the graph and characteristics, determining the roots of the quartic equation, and forming a formula with the characteristics of the roots of the quartic equation. The results show that the reduced quartic equation is the fundamental form for solving equations using the Ferrari method. The roots of the reduced quartic equation are decomposed into five cases and the characteristics of the roots of the quartic equation are obtained based on the values.
Implementasi Model Spatial Autoregressive dalam menentukan faktor-faktor yang mempengaruhi indeks pembangunan manusia di Kabupaten/Kota Provinsi Sumatera Barat
The human development index (HDI) indicates the quality of human life in a region. The purpose of this study is to create a HDI model using a Spatial Autoregressive Model (SAR) and to determine the significant factors influencing HDI. This type of research is applied research. The data used are secondary data from publications by the Central Bureau of Statistics of West Sumatra Province in 2023. The method used in this study is SAR. The research results show that the SAR model formed for the HDI in the i-th District/City of West Sumatra Province in the year 2023 is and that the factors that significantly affect the human development index in the districts/cities of West Sumatra Province are life expectancy, years of schooling, and per capita expenditure.
Peramalan Jumlah Produksi Daging Sapi di Kabupaten Pesisir Selatan Menggunakan Metode Pemulusan Eksponensial Triple Tipe Brown
Beef is one of the sources of animal protein that has an important role in meeting the nutritional needs of the community. Beef production in South Coast Regency fluctuates every year, so an accurate forecasting method is needed to anticipate future production changes. This study aims to forecast the amount of beef production in Pesisir Selatan Regency using the Brown Type Exponential Smoothing method. The data used is secondary data from the Central Statistics Agency of South Pesisir Regency during the period 2006-2023. The results of the analysis show that the value of the optimal smoothing parameter is , with the smallest Mean Squared Error (MSE) value of 975,204,883,902. Based on the models obtained, the forecast results of beef production for 2024 to 2027 are 1,978,643 kg, 1,767,060 kg, 1,537,595 kg, and 1,290,248 kg.
PEMODELAN MATEMATIKA PADA PENGELOLAAN PERIKANAN TERBARUKAN
Fisheries are natural resources that can be renewed (renewable) but are limited. The current state of fisheries is threatened with extinction due to overexploitation. Therefore, a mathematical model was created. The purpose of this study was to determine the form of a mathematical model in renewable fisheries management and to interpret the results of the analysis of the model. This research is a basic or theoretical research. This model is in the form of a non-linear system of differential equations. This model studies the dynamics between two components, namely tiger prawns (prey) and populations consuming prey species as alternative food (predators) with two areas, namely protected areas and unprotected areas. This model uses the Holling II response function and the logistic growth model. From the analysis of the model, there are three equilibrium points, which are local asymptotically stable.
PENENTUAN RUTE WISATA OPTIMAL DI PROVINSI SUMATERA BARAT PADA AGEN WISATA MINANGKABAU TOUR MENGGUNAKAN METODE TRAVELLING SALLESMAN PROBLEM
The many tourist attractions in West Sumatra have the potential to benefit tourism actors in West Sumatra, especially in the packages or tourist routes owned by the Minangkabau Tour travel agent. However, in fact, not many tourists use the tour packages offered by travel agents due to several things, one of which is the less than optimal time and costs that will be incurred by tourists. Optimization of tourist routes is expected to be one solution so that tourists can return to using the tour packages offered by travel agents. Optimization is carried out by changing the tourist attraction data into a matrix form, then providing labels for each point. Determining the distance from the starting point to the tourist attraction and the distance from the tourist attraction to other tourist attractions. After that, form a tourist route using the Nearest Neighbor Algorithm. So there are four optimal tourist routes according to the Nearest Neighbor Algorithm, namely the tourist routes from each tourist group studied, namely S → C → D → A →B →S (group 1) with a distance of 333.7 km. S → I → H → G → F → E → S (group 2) with a distance of 628 km. S → L → J → M → K → S (group 3) with a distance of 455 km. S → O → P → N → T → Q → R → U → S (group 4) with a distance of 450.2 km.