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All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) UNEJ e-Proceeding BAREKENG: Jurnal Ilmu Matematika dan Terapan Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Martabe : Jurnal Pengabdian Kepada Masyarakat PeTeKa MAJAMATH: Jurnal Matematika dan Pendidikan Matematika M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika 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 Jurnal Pengabdian dan Pemberdayaan Masyarakat Kepulauan Riau (JPPM KEPRI) Journal of Social Outreach Jurnal Pengabdian Pada Masyarakat
Hasibuan, Lilis Harianti
Universitas Islam Negeri Imam Bonjol Padang
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Journal : Journal of Science and Technology

 1 
Penerapan Metode Regresi Linear Sederhana Untuk Prediksi Harga Beras di Kota Padang Hasibuan, Lilis Harianti; Musthofa, Syarto
JOSTECH: Journal of Science and Technology Vol 2, No 1: Maret 2022
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v2i1.3802

Abstract

The purpose of this research is to get predictions of rice prices. Linear regression is used  as a method of predicting rice prices in the next X(t) period. In this study, the actual rice price Y(t) is the effect variable and the time period is the causal variable. The linear regression equation obtained is Y'=13562.561+9.041958X. Testing the accuracy of the prediction results was carried out using RMSE with a value of 0.126. The prediction of rice 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 standard.
Ekspektasi Maksimum Percentage Drawdown pada data Saham PT. Mayora Tbk dengan simulasi Monte Carlo Lilis Harianti Hasibuan; Rani Kurnia Putri
JOSTECH: Journal of Science and Technology Vol 1, No 1: Maret 2021
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.244 KB) | DOI: 10.15548/jostech.v1i1.2440

Abstract

A drawdown is a tool for defining trading strategies for commodities, stocks, and investments. This analysis is one way of monitoring the decline in asset value over a certain period of time. This journal will discuss PT.MayoraTbk stock trading strategy. By analyzing the observed drawdown in the specified time period. The drawdown analysis here uses the feedback control on PT.MayoraTbk stock trading is assumed to follow the geometric Brownian motion. The data obtained is tested whether the data meets Brown's motion assumptions. Then the maximum drawdown expectation is determined at the selected time interval. An estimate is carried out for the maximum expected drawdown percentage of the share value. To test the validity of the estimation results, a Monte Carlo simulation is carried out. Monte Carlo simulation with the term Sampling Simulation or Monte Carlo Sampling Technique. This simulation sampling illustrates the possible use of sample data using the Monte Carlo method and also the distribution can be known or estimated. This simulation uses existing data (historical data) that is actually used in a simulation that includes inventory or sampling with a known and determined probability distribution, so this Monte Carlo simulation can be used. The basic idea of this Monte Carlo simulation is to generate or generate a value to form a model of the variables and study it.
Penerapan Pewarnaan Graf Pada Penjadwalan Mata Kuliah Program Studi Matematika UIN Imam Bonjol Padang Novita Hasanah; Raudhatul Jannah; Mohamad Syafii; Lilis Harianti Hasibuan
Journal of Science and Technology Vol 2, No 2: September 2022
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v2i2.4349

Abstract

A graph is a discrete structure consisting of vertices and edges connecting these vertices. One of the discussions in graph theory is graph coloring. In this research, graph coloring will be applied in making the schedule for the Mathematics study program at UIN Imam Bonjol Padang by assuming the subject as a vertice and the lecturer as an edge. One of the benefits of applying graph coloring in scheduling makes scheduling arrangements easier. The graph coloring algorithm use the Welsh Powell Algorithm. Based on the application of graph coloring with the Welsh Powell Algorithm obtained the lecturer's teaching schedule according to the SKS, time and classroom given.
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.
Peramalan Harga Eceran Cabai Merah Menggunakan Fuzzy Time Series Lilis Harianti Hasibuan; Syarto Musthofa; M Syahrul Ridho Nasution
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.v3i2.6842

Abstract

Red chilies are a type of staple ingredient that is consumed by the wider community every day. Changes in the price of red chilies always occur from time to time. Therefore, it is important to carry out forecasting to consider decisions, both from buyers, traders and investors. The forecasting method that can be applied to this problem is the Fuzzy Time Series method with a classical approach. This method uses a fuzzy set as the basis for the forecasting process. The research results show that the forecast value of retail prices for red chilies follows the data pattern of actual red chili price movements. This is proven by the Mean Absolute Percentage Error (MAPE) forecasting accuracy value of .
Aplikasi Metode Kendali LQR (Linier Quadratic Regulator) pada Sistem Suspensi Seperempat Mobil Asfa'ani, Ezhari; Sari, Anisa Rizki; Hasibuan, Lilis Harianti
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8345

Abstract

This research discusses the design of the Linear Quadratic Regulator (LQR) control method for car suspension systems. The car suspension systems considered are limited to quarter car models. The dynamic equations of the quarter car system are derived by applying Newton's Second Law. Next, a suspension system without control is compared with a suspension system that has been given control. The uncontrolled quarter car suspension system has an eigenvalue of -1.3658 + 0.0000i; 0.9635 + 0.0000i; -0.0488 + 0.3156i and -0.0488 - 0.3156i which means the system is unstable. Meanwhile, the quarter car suspension system that has been given LQR control has an eigenvalue of -111.8113; -74.4464; -36.9243 and -14.0242 which means the system is asymptotically stable. Based on eigenvalue analysis and numerical simulation, LQR control can stabilize the quarter car suspension system.
Quantile Regression Analysis; Simulation Study With Violation of Normality Assumption Hasibuan, Lilis Harianti; Yanuar, Ferra; Devianto, Dodi; Maiyastri, Maiyastri
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9643

Abstract

Quantile regression is an extension method of simple linear regression whose work is to separate or divide data into certain quantiles. This method minimizes the asymmetric absolute residual and estimates the conditional quantile function. Parameter estimation in the quantile regression method does not require the parametric assumption of normality. The data in this study are generated from different distributions. The distribution of the independent variables in this study comes from the t distribution, normal and exponential distribution. Meanwhile, the error distribution comes from the chi square distribution. This research produces various models of the selected quantiles. The estimated parameter values at each quantile are almost close to the initial values set. This research found the best model at quantile 0.5 by looking at the smallest MSE value of all quantiles of 1.2662. The best model obtained is .
Co-Authors Afrimayani, Afrimayani Amelia Putri Annur, Lathifah Arham, Aulia Asfa'ani, Ezhari Asfa’ani, Ezhari Audinta Sakti Firmansyah Bagus Pribadi, Bagus Darvi Mailisa Putri Devianto, Dodi Fadhila Putri Indriani Fitri Rahmah Ul Hasanah Gusti Muhammad Rosyadi Hijriati, Naimah Indah Permata Sari Indah Permata Sari Juwita Lasterina La Ode Nashar Lilis Suriani M Syahrul Ridho Nasution Maiyastri, Maiyastri Mardika, Fitria Miftahul Jannah MIFTAHUL JANNAH Miftahul Jannah Miftahul Jannah Miftahul Jannah Mochammad Idris Mohamad Syafi’i Muhammad Naufan Rizqullah Musthofa, Syarto Nor Hidayati Novia Lestari Novita Hasanah Novizal Wendry, Novizal Nur, Rizki Amalia Putri, Rani Kurnia Rahma Yulia Rani Kurnia Putri Rani Kurnia Putri Raudhatul Jannah Rianjaya, Ilham Dangu Ririn Hayatun Nufus Riza, Ozzy Secio Rudiyanto Rudiyanto, Rudiyanto Sabran, La Ode Salsabila, Unik Hanifah Saman Abdurrahman Sari, Anisa Rizki Sepri, Domi Sheryn Amelia Puteri Sholih, Ahmad Shubhi Subhan Ajrin Sudirman Susi Sulastri Lubis Syahadah, Nadila Syarto Musthofa Syarto Musthofa Ul Hasanah, Fitri Rahmah Winda Fransiska Yanuar, Ferra Yuharnida, Yuharnida