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All Journal Bimbingan dan Konseling JURNAL EKSAKTA PENDIDIKAN (JEP) JURNAL PENDIDIKAN TAMBUSAI Jurnal Dedikasi Pendidikan Pelita Eksakta FOSTER: Journal of English Language Teaching Wahana Dedikasi : Jurnal PkM Ilmu Kependidikan FARABI: Jurnal Matematika dan Pendidikan Matematika An-Nuha : Jurnal Pendidikan Islam Jurnal Nasional Holistic Science MATHunesa: Jurnal Ilmiah Matematika Journal of Mathematics UNP Rangkiang Mathematics Journal Mathematical Journal of Modelling and Forecasting
Helma Helma
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Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : Journal of Mathematics UNP

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Pengendalian Persediaan Bahan Baku Keripik Balado Salsabila Menggunakan Metode Silver Meal Heuristic Adinda, Viola; Helma, Helma
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15083

Abstract

Inventory is a factor that decides the smoothness of production and sales so inventory must be controlled to produce minimum costs. The problems that occur in the Keripik Balado Salsabila Business are the use of erratically raw material supplies and the absence of raw material control, so a method is needed to deal with these issues. The research purpose is to compare the total inventory of raw materials between company policies and the method of Silver Meal Heuristic. The benefits of this method are to control inventory and reduce inventory costs. In controlling inventory, the data that is calculated is the five main raw materials for Keripik Balado, including cassava, oil, chili, salt, sugar and lime. The results obtained using the Silver Meal Heuristic method indicated savings in raw material inventory costs of IDR3.829.000 with a total efficiency of 16%. Thus, the method of Silver Meal Heuristic is better to use because it produces a smaller total inventory cost compared to company policy.
Faktor-Faktor Yang Mempengaruhi Angka Gizi Buruk Pada Balita Di Sumatera Barat Menggunakan Metode All Possible Regression Dari Regresi Linier Putri, Nurlailatika; Helma, Helma
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.14919

Abstract

Currently in Indonesia., health problems are in the spotlight is the high mortality rate in children aged 0-59 month. This problem is caused by malnutrition thar occurs in children in this age group. Solving the problem of malnutrition is a serious challenge in West Sumatra Province which is influenced by various factors that play a role in the problem. This research aims to .determine what are the causes of malnutrition in the West Sumatra region. The approach used is the All Possible Regression method of linear regression, taking into account .factors such as toddlers with low birth weight (x1), exclusive breastfeeding (x2), vitamin A suplemetation (x3), and antenatal visits to pregnant women (x4). According to the research results, a multiple linear regression model has been obtained to identify factors that have an influence on malnutrition rates in toddlesr  in West Sumatra as follows: y = 3,95 - 0,0406 x4So, antenatal visits to pregnant women (x4) have a significant effect on the incidence malnutrition in toddlers in West Sumatra with a level of error 5%.
Faktor-Faktor yang Mempengaruhi Balita Stunting di Puskesmas Kampung Guci Menggunakan Regresi Probit Biner Pratama, Lisya; Helma, Helma
Journal of Mathematics UNP Vol 9, No 1 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i1.15374

Abstract

A toodler who is stunted will be shorter than a typical toddler in both height and length. Stunting result in pathological alterations marked by growth that are outside of what is expected, having both short and long term effects. Utilizing binary probit regression, this research attempts to determine the srtucture of the model, the variables that have the highest probability of stunting, and the causes (factors) that cause toodler stunting in Puskesmas Kampung Guci. This research is applied research. This research uses primary data from a sample of 85 toddlers using the accidental sampling technique. According to research findings, exclusive breastfeeding, immunization, healthy latrines, and comorbidities are the variables (factors) that effect toddler stunting at the Puskesmas Kampung Guci.
Peramalan Jumlah Produksi Bawang Merah Provinsi Sumatera Barat Menggunakan Metode Triple Exponential Smoothing Tipe Brown Rahmadani, Suci; Helma, Helma
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.15339

Abstract

Onion (Allium Ascalonicum L) is an important food ingredient that is widely used by the community and has a high market value. The increase in population in West Sumatra province every year has an impact on the need for onion. The amount of onion consumption is greater than the amount of production which causes unmet community needs for onion. This study aims to model onion production forecasts using the Brown Type Triple Exponential Smoothing technique and estimate onion production in West Sumatra province from  based on the model that has been obtained. The smoothing parameter is , which is used in the quantitative forecasting process known as the Brown Type Triple Exponential Smoothing technique. After the data is analyzed and processed, it can be concluded that the results of the onion production forecast for 2023 to 2027 are 242.872,32 ton, 275.231,24 ton, 309.726 ton, 346.356,60 ton and 385.123,04 ton respectively. 
Analisis Pengukuran Kinerja Portofolio Optimal Pada Indeks LQ-45 dengan Model Korelasi Konstan Putri, Riris Frishania; Helma, Helma
Journal of Mathematics UNP Vol 8, No 4 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i4.14505

Abstract

An investment is putting in funds with the goal that it will generate a result in the future. In making investment decisions, investors are inseperable from the consideration of return-risk. The higher return from investors then making the higher risk that will be faced. Therefore, to minimized risk and maximized return, it is necessary to do portfolio analysis. The purpose research is to create an optimal portfolio and measure of performance of the optimal portfolio on LQ-45 index stocks. The results obtained indicate that portfolio A is the optimal of portfolio. The proportion of stocks included in the optimal portfolio are ITMG (68.2%) and MEDC (31.8%) with the expected return from optimal portfolio being 0.33% while the risk is 0.0229. Measuring the performance of each portfolio in a row is portfolio A of 0.093, portfolio B of 0.031, and portfolio C of 0.067. Performance measurement analysis on the optimal portfolio shows that portfolio A has superior performance compared to other portfolios.
Analisis Regresi Linear Berganda dalam Menentukan Pengaruh Kinerja Keuangan terhadap Harga Saham Perusahaan LQ-45 di Bursa Efek Indonesia Khatimah, Havifah Husnatul; Helma, Helma
Journal of Mathematics UNP Vol 9, No 2 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i2.12910

Abstract

The stock price is the value formed by the negotiation between sellers and buyers on the stock exchange. Uncertainty in forecasting stock prices is a problem for investors because stock prices are always fluctuating. One of the internal factors affecting stock prices is financial performance. The aim of this research is to create a multiple linear regression model of the factors influencing stock prices and to identify the factors that significantly affect stock prices in LQ-45 companies on the Indonesia Stock Exchange. The analysis used is multiple linear regression analysis. The multiple linear regression model that describes the factors influencing stock prices in LQ-45 companies on the Indonesia Stock Exchange is: ???? = 7.391 + 0.01004 ????1+ 0.000901 ????2 + 0.01351 ????4.Based on the research, it was found that the factors significantly affecting stock prices in LQ-45 companies on the Indonesia Stock Exchange are Price to Earnings Ratio (x1), Earnings per Share (x2 ), and Return on Equity (x4 ) with an error rate of 5%.Keywords: Multiple Linear Regression, Stock Price, Financial Performance
PENERAPAN METODE DE NOVO PROGRAMMING DALAM PERENCANAAN PRODUKSI STICK KENTANG PADA UKM DELIMA BANDARA DI KAB. PADANG PARIAMAN Amelja, Vania; Helma, Helma
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15058

Abstract

This research is an applied research conducted aimed at determining how much potato stik products should be produced by UKM Delima Bandara. The De Novo Programming method is used to plan the production of potato sticks in order to generate maximum profits. The data used are primary data, namely data, demand data, raw material availability data, production cost data, and sales price data in 2022. Based on the results of production calculation by rill, UKM Delima Bandara obtained a profit for a years of Rp. 400.626.000, while the profit of the industry if its production planning using the method of De Novo Programming gains a profit of Rs. 410,860,000 in one year. Therefore, with the application of the De Novo Programming method, UKM Delima Bandara can plan production and save use raw materials so as to obtain better profit generation planning with the amount of production of original potato stiks as much as 1.476 kg, cheese potato stiks as much as 1.278 kg, lime leaf potato stiks as much as 1.269 kg, onion potato stiks as much as 1.398 kg, and balado potato stiks as much as 1.237 kg.
Peramalan Jumlah Produksi Jagung Kabupaten Pasaman Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown Destia, Atika; Helma, Helma
Journal of Mathematics UNP Vol 9, No 2 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i2.15814

Abstract

Corn is one of the most important carbohydrate-producing food crops in the world besides wheat and rice. Nowadays, corn has also become an important component of animal feed. Demand for corn continues to increase, responding to this condition, estimates of the amount of corn production in the future are needed. The aim of this research is to form a forecasting model for the amount of corn production in Pasaman Regency using the Brown type triple exponential smoothing method and predict the amount of corn production in Pasaman Regency from 2023-2025 based on the model that has been formed.This type of research is applied research with secondary data collection. In this study secondary data was obtained from the official website of the Pasaman Regency Central Statistics Agency. From the forecasting model, it can be seen that the parameter value α=0.26 can minimize the MSE value so that the forecast results in 2023 are 114,939.6 tons, in 2024 it is 123,762.4 tons, and in 2025 it is 132,762.4 tons.
Implementasi Metode Autoregressive Distributed Lag untuk Memodelkan Pengaruh Indeks Harga konsumen terhadap Inflasi Di Kota Padang Putri, Mona Yulia; Helma, Helma
Journal of Mathematics UNP Vol 9, No 1 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i1.15056

Abstract

 Inflation is defined as a process of rising and falling prices of goods and services, which generally occurs continuously. Inflation in the city of Padang is very volatile, price increases when inflation occurs can be calculated by the Consumer Price Index. The following research aims to build a model and predict inflation in the city of Padang, by applying the Autoregressive Distributed Lag method,is a regression model that substitutes the value of the variable showing the present value and the previous value of the independent variable as one of the explanatory variables. The results of the study show that inflation in the following month is influenced by inflation in the previous month and several groups of Consumer Price Index are also taken into account in this model.  
Peramalan Hasil Produksi Padi di Kota Pariaman Menggunakan Metode Autoregressive Moving Average (ARMA) Khairani, Yasyfin Ikrima; Helma, Helma; Winanda, Rara Sandhy
Journal of Mathematics UNP Vol 10, No 1 (2025): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v10i1.16934

Abstract

Rice is the main commodity that supports national food security and fulfills the consumption needs of most of the Indonesian population. Rice production faces many persistent problems, such as yield fluctuations, pest and disease attacks, and environmental changes. One example is the conversion of agricultural areas into residential and industrial areas, which causes rice production to decline. The purpose of this research is to use the Autoregressive Moving Average (ARMA) approach to develop a forecasting model of Pariaman City’s rice production and forecast the results for 2024 in a monthly period. This applied research uses secondary data obtained from the official website of the Pariaman City Statistics Agency. The best forecasting model results are achieved with the ARMA (1,2) model which produces the smallest MSE value of 96.6965. The model form is $$Y_t = 1.00048Y_{t-1} + \varepsilon_t + 0.443\varepsilon_{t-1} + 0.493\varepsilon_{t-2}$$.
Co-Authors Adinda, Viola Ahmad Zaini Alfaiz Alfaiz Amelja, Vania Anak Agung Dewi Megawati, Anak Agung Dewi Anggraini, Nova Annisa Hidayatul Nufus Atikah, Asyrof Atus Amadi Putra Bertha Ivhone Bobby Guslianda Cahyanti, Alfiana Chandra, Yasrial Cindi Meidisia Darajat, Reekha Aysi Destia, Atika Dewi Murni Dipinta, Yona Edizon Edizon Edizon, Edizon Fikri, Ariful Fitria Kasih Franata, Riyan Fuadillah Putra Handaru, Siti Mico I Made Arnawa Inshanul Fadhila Ismed, Seroja Jamhari Jamhari Jufriadi Jufriadi, Jufriadi Kemala, Niken Khairani, Yasyfin Ikrima Khatimah, Havifah Husnatul Ledy Vanesa Maiyuniati Maiyuniati Mirna Mirna Mirna Mirna Mori Dianto, Mori Muhamad Azis Firdaus Muhammad Agus Muljanto Nonong Amalita Nora Dwi Putri, Besti Pertika Putri, Resa Pratama, Lisya Putri, Mona Yulia Putri, Nurlailatika Putri, Riris Frishania Rahma Wira Nita Rahmat Mulyana Dali Rara Sandhy Winanda Rengga Satria Rici Kardo, Rici Riry Sriningsih Roza Lanofita Sandriani, Fifi Sari Fitri Sari, Lusi Febrina Sari, Shinta Sujantri Wahyuni Tatis Febri Heni Thamrin, Revi Reskya WahyunitaWahyunita Warni Warni Wijaya, Arbi Yanata, Dwiki Dzakwan Yerizon Yerizon Yusmet Rizal