Claim Missing Document
Check
Articles

Found 21 Documents
Search

Penggunaan Flow Proof pada Perkuliahan Analisis Real untuk Meningkatkan Kemampuan Mahasiswa dalam Menganalisis Pembuktian Helma Helma
JURNAL EKSAKTA PENDIDIKAN (JEP) Vol 3 No 1 (2019): JEP : Jurnal Eksakta Pendidikan
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jep/vol3-iss1/326

Abstract

Real Analysis is the subjects to help the students in critical thought. Students must have the definitions and theorems to solve the problems and perform a process which is often called the preliminary analysis. After that, students construct the proof based on the preliminary analysis. Based on the characteristics of the problem in Real Analysis, the solution given to the problem is using flow proof in composing preliminary analysis The research shows that the student's ability in analyzing can be improved by using flow proof
Faktor-Faktor Yang Mempengaruhi Kunjungan Ibu ke Posyandu Nagari Kayu Tanam Kabupaten Padang Pariaman Menggunakan Analisis Faktor Putri Anisah; Helma Helma
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.992 KB) | DOI: 10.24036/unpjomath.v5i4.11110

Abstract

Abstract — Posyandu is a health service provided by the government for the community. Of the many mothers who have babies or toddlers, and pregnant women are of the opinion that the visit to the posyandu has no effect on their children. This study aims to determine the factors that influence the mother's visit to Posyandu Nagari Kayu Tanam, Padang Pariaman. This study aims to determine the factors that influence the mother's visit to the Posyandu Nagari Kayu Tanam, Padang Pariaman. This type of research is applied research using primary data obtained from the results of filling out the questionnaire. The population in this study were all mothers who have babies or toddlers and 133 pregnant women in Nagari Kayu Tanam, Padang Pariaman. The sampling technique is total sampling. There are two factors that influence the mother's visit to the Posyandu Nagari Kayu Tanam, namely, external factors consisting of distance from the posyandu, family support, and the role of cadres. Internal factors consist of mother's attitude and posyandu facilities.Keywords — posyandu, factor analysis, total sampling.
Analisis Kepuasan Masyarakat Terhadap Pelayanan Publik Di Kantor Kecamatan Nanggalo Kota Padang Menggunakan Customer Satisfaction Index Dan Importance Performance Analysis. Mira Mainerlis Nursyam; Helma Helma
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.985 KB) | DOI: 10.24036/unpjomath.v5i4.11098

Abstract

Abstract-. The Nanggalo District Office is one of the offices that provides administrative services in the city of Padang. This Nanggalo District Office has facilities and services provided to the community. However, the services from the Nanggalo District Office have not fulfilled the needs and desires of the peoplen in Padang City. This research goal is ton determine the level ofc Consumer Satisfactionn based on the Customer Satisfaction Index (CSI)n and to determine the importance of each attribute based on Importance Performance Analysisn (IPA).. The data of this study. are primary data where there are 100 questionnaires that will be given directly to people of Nanggalo District who have visited at least 2 times. The result showed thatn overall level of Comsumer Satisfaction of 78% was in the range of value 66%80,99% which indicated that the passenger satisfaction index was the “Satisfied”criterion. Keywords-the nanggalo district office, CSI, IPA
Faktor yang Mempengaruhi Kepuasan Konsumen Rumah Makan Ampera Ramah di Painan dengan Menggunakan Analisis Faktor Gustrio Zampurnama; Helma Helma
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.858 KB) | DOI: 10.24036/unpjomath.v4i4.7916

Abstract

Abstract– Consumer satisfaction is one of the important things that must be considered in the business sector. Indicators that are though to influence consumer satisfaction are product quality, service quality, price, and emotional sense. One of the statistical analysis that commonly  used in analyzing such factors is factor analysis. The data used in this research is primary data obtained from interviews by using questionnaire, where the population is comprised of all Ampera Ramah Restaurants consumers. The samples in this research are about 100 people obtained using accidental sampling methode. Based on the results of this research there are six factors that need to be considered to increase consumer satisfaction i.e 1) taste, menu variation, presentation, and cleanliness, 2) empathy, aesthetics, expression, and innate self, 3) responsiveness and assurance, 4) fairness of prices and affordability, 5) food freshness, shrewdness, and price comparison, and 6) portions and physical evidence. Keywords–Consumer Satisfaction, Restaurants, Factor Analysis.
Tinjauan Produksi Pala di Sumatra Barat Berdasarkan Lahan Produktif Menggunakan Pemulusan Eksponensial dan Diikuti dengan Rifa’atul Hamda; Helma Helma
Journal of Mathematics UNP Vol 5, No 4 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (977.183 KB) | DOI: 10.24036/unpjomath.v5i4.11113

Abstract

Abstract – The nutmeg production of West Sumatra since 2011-2018 has decreased fluctuately, so that influenced society economi. The purpose of this research was to know the model and nutmeg production prediction result for the next time, also to know wich regency/town are not exploit the land optimally. The method that used was Tripel Exponential Smoothing Brown with parameter a and Profile Analysis. When determining parameter a, the Mean Square Error is used. While profile analysis was determined by comparing amount of product of land area with amount of nutmeg production, so that used parallelism test, coincidance, and level. The data that used was secondary data which it was obtained Central Static Agency publication of West Sumatra 2012-2019. The nutmeg prediction result at 2019-2023 sequentially in tonnes are 1255.95, 1261.38, 1266.94, 1272.65 and 1278.49. Here are some region that are not optimal yet, among them: Mentawai Island Regency, South Pesisir, Padang Pariaman, and Padang City. Keywords – total production nutmeg, triple exponential smoothing brown type, profile analysis.
Analisis Kepuasan Pengunjung Terhadap Pelayanan Wisata Pantai Tan Sirdano Kabupaten Pesisir Selatan Menggunakan Customer Satisfaction Index Dan Importance Performance Analysis Indri Putri Pratama; Helma Helma
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.88 KB) | DOI: 10.24036/unpjomath.v4i4.7917

Abstract

Abstract–Tourism is one sector that has a positive impact an economic development. Tan Sirdano Beach is one of tourism destination in Pesisir Selatan District. In developing Tan Sirdano Beach tourism, a marketing strategy based on visitor satisfaction is needed. However the services that provided by manager have not made the visitors satisfied. The purpose of this research to find level of visitor satisfaction based on Customer Satisfaction Index (CSI) and visitors’ desire from each attribute based on Importance Performance Analysis (IPA). This research used primary data with 100 questionnaires that is shared to the visitors of Tan Sirdano Beach who had visited at least 2 times. The result from this research that level of visitor satisfaction overall is 70.12% in the range of values 66% - 80.99% which indicates that the visitor satisfaction index is a "Satisfied" criteria. Attributes that need to be improved are beach cleanliness, rubbish bin, toilet, mosque, parking area, road conditions and visitor complaints.Keywords–Consumer satisfaction, Tan Sirdano Beach, CSI, IPA
Analisis Nilai Ekspor Impor Menurut Standard International Trade Classification (SITC) di Provinsi Sumatera Barat Menggunakan Analisis Profil Tia Istiramadhani; Helma Helma
Journal of Mathematics UNP Vol 7, No 2 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.218 KB) | DOI: 10.24036/unpjomath.v7i2.12499

Abstract

Export is the activity of selling goods and services produced domestically to foreign countries. Meanwhile, import is the activity of purchasing goods and services made abroad into the country. If the value of exports and imports experiences instability, the country's economy will also experience instability which will have an impact on the country's income. For this reason, it is necessary to describe the comparison of the value of exports and imports in the province of West Sumatra according to the Standard International Trade Classification (SITC) using profile analysis. This research aims to determine the class of goods according to the Standard International Trade Classification (SITC) which is optimal using profile analysis. In the profile analysis, a comparison of the average value of exports and imports is carried out using the parallelism test, the overlap test and the level test and continued testing for each variable. The results of the tests that have been carried out are that the item code 4 (vegetable and animal oil/fat) has developed well.
Peramalan Jumlah Penumpang di Bandar Udara Soekarno-Hatta dengan menggunakan Pemulusan Eksponensial Tripel tipe Holt-Winter dan tipe Brown Rahmah Aziz; Helma Helma
Journal of Mathematics UNP Vol 7, No 3 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.558 KB) | DOI: 10.24036/unpjomath.v7i3.12524

Abstract

The main airports in Indonesia, including at Soekarno-Hatta, are deserted, due to government policies to overcome the Covid-19 disease outbreak. The number of passengers has fallen drastically, every month the plane is erratic in carrying passengers. With a pandemic like this, the airline must make a strategy to avoid losses. To overcome this problem, the purpose of this study is to predict the number of passengers at Soekarno-Hatta Airport during the pandemic using triple exponential smoothing of Brown type and Holt-Winter type. In the triple exponential smoothing method, trend analysis is carried out and followed by smoothing three times.
Peramalan Jumlah Produksi Kerupuk Kamang Berdasarkan Keuntungan Hasil Produksi Menggunakan Analisis Regresi Invers dengan Metode Klasik yulistia rahmadani; Helma Helma
Journal of Mathematics UNP Vol 6, No 3 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (967.19 KB) | DOI: 10.24036/unpjomath.v6i3.11930

Abstract

The  limitation  of  kamang  cracker  businessmenin  marketing  their  products  is  the main factor  that  makes  businessmenunable  to maximizethe  profits  of  theirproduction.    To  maximize profits, a method is needed to predict the number of kamang crackers that must be produced based on the  profits  obtained. In this  case,  regression  analysis  with  classical  method  can  be  used  wherethe value of x0 can be predicted based on the dependent variable y0. The purpose of this study is to create a  model  and  determine  the  prediction  interval  from  forecasting the  numberofkamang  cracker production based on the profit obtained from the production. The data used are primary data obtained from 25 business houses inKecamatanKamang Magek .  From the prediction results obtained, it can be interpretationthe number of kamangcrackers that must be produced
PENERAPAN AUTOREGRESSIVE DISTRIBUSI LAG (ARDL) PADA PREDIKSI PRODUKSI KAKAO INDONESIA Lila Syafira; Helma Helma
Journal of Mathematics UNP Vol 7, No 3 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.768 KB) | DOI: 10.24036/unpjomath.v7i3.13250

Abstract

Cocoa is an important commodity for Indonesia. The area and production of cocoa during the last decade decreased by 0.39% and 0.41% per year, respectively. This study aims to find a model and predict Indonesian cocoa production. This study using Autoregressive Distributed Lag (ARDL) method. The ARDL model (1, 3, 2, 2) was obtained which was selected based on the smallest Akaike Integration Criteria (AIC) value. Based on the ARDL model, the estimated average production increases by 0.6684 tons for a decrease in production of 1 ton at t-1. The estimated average production increased by 0.6130 tons for an increase in plant area of 1 Ha at time t, an increase of 0.0257 tons for an increase in plant area to produce 1 Ha at t-1, an increase of 0.5043 tons for an increase in plant area produce 1 Ha at t-2, an increase of 0.3308 tons for an increase in plant area to produce 1 Ha at t-3. Likewise for the increase or decrease area of immature plants and damaged plants in the ARDL model can be interpreted in this way.