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All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Science and Technology Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan Math Educa Journal Bakti Cendana: Jurnal Pengabdian Masyarakat Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains Journal of Science and Technology Mathematics and Applications (MAp) Journal Journal of Social Outreach Maqdis: Jurnal Kajian Ekonomi Islam J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Pada Masyarakat
Darvi Mailisa Putri
Universitas Islam Negeri Imam Bonjol Padang
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The Definite Positive Property of Characteristic Function from Compound Geometric Distribution as The Sum of Gamma Distribution Darvi Mailisa Putri; Maiyastri Maiyastri; Dodi Devianto
Science and Technology Indonesia Vol. 3 No. 1 (2018): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1343.352 KB) | DOI: 10.26554/sti.2018.3.1.49-52

Abstract

In this expository article we survey characterization of compound geometric distribution as the sum of gamma distribution. The characterization of this compound distribution is obtained by using the property of characteristic function as the Laplace-Stieltjes transform. The property of definite positive characteristice function of compound geometric distribution as the sum of gamma distribution is explained by analytical methods as the quadratic form of characteristic function.
Penerapan Pendidikan Matematika Dasar Menggunakan Pendekatan Realistik untuk Anak Usia Dini di Kelurahan Kampung Lapai Lilis Harianti Hasibuan; Darvi Mailisa Putri; Miftahul Jannah
Bakti Cendana Vol 3 No 1 (2020): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.386 KB) | DOI: 10.32938/bc.3.1.2020.1-9

Abstract

Penyuluhan yang berjudul Penerapan Pendidikan Matematika Dasar Menggunakan Pendekatan Realistik untuk Anak Usia Dini di Kelurahan Kampung Lapai mengajukan masalah bagaimana penerapan Pendidikan Matematika Dasar pada anak usia dini. Untuk mengatasi masalah di atas penulis mengajukan konsep agar anak usia dini bisa memahami pelajaran matematika dengan mudah dan menyenangkan. Pada anak usia dini perkembangan kemampuan matematis dimulai sejak kecil, dan berlanjut saat anak-anak berkembang secara mental, fisik, dan sosial, yang berpengaruh secara langsung terhadap perkembangan dan kemampuan mereka . Pendidikan matematika dapat diberikan kepada anak sejak usia 0-6 tahun. Anak pada usia 0-6 tahun perlu mendapaat perhatian khusus karena pada usis inilah kesiapan mental dan emosional anak mulai dibentuk. Pendidikan anak usia dini (PAUD) ikut serta dalam menjamin mutu pendidikan dan kebrhasilan akademis secara signifikan dipengaruhi oleh kualitas masukan pendidikan yaitu kesiapan mental dan emosional anak memasuki sekolah dasar. Metode dari penelitian ini adalah penelitian deskriptif.. Adapun sampel yang akan menjadi responden pada pengabdian ini adalah siswa PAUD Amanah dengan menggunakan analisis inferensial produc moment. Berdasarkan perhitungan diperoleh thitung lebih besar dari ttabel (5,231 > 1,694). Artinya terdapat hubungan positif yang tinggi atau kuat antara pendekatan realistik dan pemahaman matematika dasar pada anak usia dini
PREDIKSI JUMLAH PENUMPANG PESAWAT PADA MASA COVID-19 DENGAN METODE EXPONENTIAL SMOOTHING Darvi Mailisa Putri; Fitri Rahmah Ul Hasanah; Lilis Harianti Hasibuan; Miftahul Jannah
Math Educa Journal Vol 6, No 1 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v6i1.3896

Abstract

Forecasting is a study that is still interesting today. With the forecasting method, a person can make predictions about something based on previously available data. In this study, will be carried out on the prediction of the number of airplane passengers on domestic during the COVID-19 period. The data taken is data on domestic airplane passengers at Minangkabau International Airport Padang city. Data by month for the period 2016 to 2020. The method that will be applied to the data is the exponential smoothing type forecasting method, especially the Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES) methods. The results of the study concluded that if analyzed from the MAPE value, the DES method was better with a MAPE value of 77. However, if analyzed from the MAD and MSD values, the SES method was better with a value of 32609 and 2044501652, respectively. Furthermore, analyzing the prediction results of the two methods, it was obtained that for the first four months the DES method showed better results than the SES method. But two months later the SES method was much better.
Simple Linear Regression Method to Predict Cooking Oil Prices in the Time of Covid-19 Lilis Harianti Hasibuan; Darvi Mailisa Putri; Miftahul Jannah
Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains Vol 10, No 01 (2022)
Publisher : UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/logaritma.v10i01.5319

Abstract

The background of this research is the soaring price of cooking oil during the Covid-19 period which continues to increase in the city of Padang. The research method used is a case study of data on cooking oil prices in the city of Padang. The purpose of this study is to obtain predictions of cooking oil prices. Linear regression is used as a prediction method for cooking oil prices in the next X(t) period. The research method used is a case study using simple linear regression. In this study, the actual cooking oil price Y(t) is the effect variable and the time period is the causal variable. The linear regression equation obtained is Y'=25239+124.56X. Testing the accuracy of the prediction results using RMSE with a value of 0.1913. The prediction of cooking oil prices using the linear regression method can be said to be in the very good category, it can be seen that the RMSE value is very small in the test and meets the standards.
MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE PADA HARGA SAHAM PT. ADMF TBK Darvi Mailisa Putri; Lilis Harianti Hasibuan; Miftahul Jannah
MAp (Mathematics and Applications) Journal Vol 4, No 1 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v4i1.4241

Abstract

Autoregressive Integrated Moving Average (ARIMA) adalah salah satu model deret waktu yang masih sering digunakan sampai saat ini. Model ini dapat melakukan prediksi suatu nilai dari hasil persamaan model. Dimana persamaan model diperoleh dari data deret waktu pada periode sebelumnya. Pada penelitian ini akan diterapkan model ARIMA pada data saham PT. Adira Dinamika Multi Finance Tbk [ADMF]. Data yang diambil adalah data harga saham dengan periode harian sepanjang tahun 2021. Hasil pengolahan data diperoleh model terbaik ARIMA (5,2,3). Model ini dipilih berdasarkan nilai MAPE terkecil yaitu 0,564 dan nilai signifikansi model sebesar 5%.
PENERAPAN METODE LEAST SQUARE UNTUK MEMPREDIKSI JUMLAH PENERIMAAN MAHASISWA BARU Lilis Harianti Hasibuan; Darvi Mailisa Putri; Miftahul Jannah
MAp (Mathematics and Applications) Journal Vol 4, No 1 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v4i1.4239

Abstract

UIN Imam Bonjol Padang mempunyai trend yang meningkat dalam penerimaan mahasiswa baru dibandingkan tahun tahun sebelumnya. Jumlah perolehan mahasiswa baru tidak selalu sama setiap tahun. Jumlah perolehan mahasiswa tidak selalu sama setiap tahun. Jumlah perolehan penerimaan mahasiswa baru yang tidak stabil membuat kesulitan dalam merancang kelas, dosen,biaya dan lainnya. Mengetahui jumlah prediksi mahasiswa baru untuk periode yang akan dating sangat penting sebagai dasar untuk pengambilan keputusan lebih lanjut. Metode kuadrat terkecil sebagai metode perhitungan untuk menentukan prediksi. Penelitian ini bertujuan untuk membantu perguruan tinggi negeri dalam memprediksi jumlah mahasiswa baru yang diterima, sehingga akan lebih mudah untuk mengambil keputusan dalam menentukan langkah selanjutnya dan memperkirakan masalah keuangan. Persamaan prediksi yang diperoleh dalam penelitian ini adalah Y’=2514.91+148.918X dengan tingkat persentase antara data sebenarnya dengan prediksi 81 % dapat dikatakan valid.
ANALISIS METODE SINGLE EXPONENTIAL SMOOTHING DAN METODE REGRESI LINEAR UNTUK PREDIKSI HARGA DAGING AYAM RAS Lilis Harianti Hasibuan; Darvi Mailisa Putri; Miftahul Jannah; Syarto Musthofa
Math Educa Journal Vol 6, No 2 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v6i2.3872

Abstract

Prediction of the price of broilers in the future is intended to control the excess and shortage of broiler stock can be minimized. When the price of purebred chicken can be predicted accurately, the fulfillment of consumer demand can be managed on time. This study aims to analyze the prediction accuracy of broiler prices using the Single Exponential Smoothing (SES) method compared to using the linear regression method, so that a more accurate method will be obtained to predict the price of broilers. The percentage of prediction error values is the most important criterion in analyzing the prediction accuracy of these two methods. The results showed that the average percentage of error in predicting the quantity of sales of broilers using the SES method with the smoothing parameter value =0.5 is the method that has the highest predictive accuracy (MAPE=0.00258%) compared to using the linear regression method (MAPE= 0.05%).
ANALISIS PENGARUH DEFISIT FISKAL TERHADAP PERTUMBUHAN EKONOMI INDONESIA AGHSILNI AGHSILNI; DARVI MAILISA PUTRI
Maqdis: Jurnal Kajian Ekonomi Islam Vol 5, No 2 (2020): Juli - Desember 2020
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/maqdis.v5i2.501

Abstract

This study aims to know and analyze: the influence of fiscal deficit on economic growth of Indonesia in the long and short run. The data in this study are time series data from 1988 to 2019 and using cointegration test and Vector Error Correction Model (VECM). The result of the research show that (1) fiscal deficit, FDI and inflation have a significant effect on economic growth. The fiscal deficit has a positive effect, meanwhile FDI and inflation have a negative effect on economic growth. (2) In the short run, fiscal deficit in lag 1 and FDI in lag 1 and lag 2 have a significant effect on economic growth, but inflation have no significant effect both in lag 1 and lag 2. However, in the long run, economic growth will return to its equilibrium.
Pengaruh Minat Belajar dan Motivasi Belajar terhadap Prestasi Belajar Mahasiswa Program Studi Matematika pada Mata Kuliah Statistika Deskriptif Rani Kurnia Putri; Darvi Mailisa Putri; Lilis Harianti Hasibuan
JOSTECH Journal of Science and Technology Vol 3, No 2: September 2023
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v3i2.6906

Abstract

This study aims to describe the effect of interest in learning and learning motivation on student achievement in the mathematics study program at the Imam Bonjol State Islamic University, Padang. The type of research used is quantitative. The sample used in this study was 74 students using simple random sampling. This study used instruments on the scale of interest in learning and learning motivation as well as documentation of student achievement in the mathematics study program. Data analysis used in this research is descriptive statistical analysis and multiple regression analysis. The results of this study indicate that interest in learning and learning motivation affect student achievement in mathematics study programs in descriptive statistics courses obtained by the multiple linear regression equation The variables of learning motivation and interest in learning have a contribution of 0.485 or around 48.5% while the rest are influenced by other factors.
Analisis Pergerakan Harga Emas Berjangka Menggunakan Model Fuzzy Time Series Markov Chain Afrimayani Afrimayani; Darvi Mailisa Putri
JOSTECH Journal of Science and Technology Vol 3, No 2: September 2023
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v3i2.6994

Abstract

Gold is one type of precious metal that can be an investment instrument to protect the value of wealth. Gold price movements need to be known in investing, this can be observed usinga time series model that can predict gold prices in the next period. Gold price movement models can be used as investor guidelines in planning and decision making to increase profits and prevent losses. Gold price movements modeled with a numerical approach can be done through the Fuzzy Time Series Markov Chain (FTSMC) model. The modeling results show that the FTSMC can model gold prices and has good accuracy values with small MAPE, RMSE, and MAE values. This indicates an excellent goodness of fit for the FTSMC model. Long-term stability for gold price movements provides investment benefits because gold has value as an asset that tends to be stable, easy to liquidate in cash, free from interest, has a role as an emergency fund and can protect the value of wealth.
Co-Authors Afrimayani Afrimayani Afrimayani, Afrimayani AGHSILNI AGHSILNI AGHSILNI, AGHSILNI Amalina Amalina Amalina Amalina, Amalina Annur, Lathifah Asfa'ani, Ezhari Asfa’ani, Ezhari Bagus Pribadi, Bagus Devianto, Dodi Fitri Rahmah Ul Hasanah Friska, Dina Hasibuan, Lilis Harianti LA ODE SABRAN Mahendra, Fikri Rizky Maiyastri, Maiyastri Mardika, Fitria MIFTAHUL JANNAH Miftahul Jannah Miftahul Jannah Miftahul Jannah Miftahul Jannah Mohamad Syafi’i Muhammad Naufan Rizqullah Musthofa, Syarto Novia Lestari Nur, Rizki Amalia Prima Aswirna Rahman, Alfit Rani Kurnia Putri Reihani Jemila Nurbai Rianjaya, Ilham Dangu Salsabila, Unik Hanifah Sepri, Domi Serly Cania Subhan Ajrin Sudirman Syahadah, Nadila Syarto Musthofa Syarto Musthofa Ul Hasanah, Fitri Rahmah Yuharnida, Yuharnida Yurinanda, Sherli