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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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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.
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.
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%).
RUTE EVAKUASI TSUNAMI MENGGUNAKAN ALGORITMA FLOYD WARSHALL (STUDI KASUS DI LUBUK BUAYA, PADANG) Rahma Yulia; Indah Permata Sari; Mohamad Syafi'i; Lilis Harianti Hasibuan
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of Indonesia's vulnerable Tsunami areas is in Padang City. Padang City is a coastal city, which is located to the east of the Indian Ocean. It is close to the meeting of the Indo-Australian plate and Eurasian plate, which can trigger a powerful earthquake and generate a tsunami. Therefore, determination of the evacuation route is very important to do, particularly in Tsunami high risk areas. One of the highrisk areas is Lubuk Buaya District. The purpose of this research is to set the shortest route for tsunami evacuation as an effort to minimize disaster effects on local residents. The determination of the Tsunami evacuation route is done by forming a path graph, determining the weight of each path segment, and determining the shortest route using the Floyd Warshall Algorithm. The results obtained in this research are the safest and shortest Tsunami evacuation route that can be accessed by pedestrians, motorcyclists, and car drivers. Keywords: Evacuation Routes, Floyd Warshall Algorithm, Graph, Tsunami.
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.
Penerapan Rantai Markov Dalam Peramalan Cuaca (Studi Kasus: Cuaca Harian di Kota Padang) Winda Fransiska; Ririn Hayatun Nufus; Mohamad Syafi’i; Lilis Harianti Hasibuan
Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 12 No 2 (2022)
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/buanamatematika.v12i2.6374

Abstract

Information about the weather is needed. Weather is one of the considerations of the community in carrying out various activities. The purpose of this study is to provide information related to weather forecasts by applying Markov chain theory. The Markov chain is a random process in which all information about the future is contained in the present state. The study uses daily weather data that occurs on June 1, 2022 to June 30, 2022 to predict the weather for the next 7 days. The data used is secondary data taken from the website of the Meteorology, Climatology, and Geophysics Agency (BMKG) of Padang City. Based on the results of calculations using Markov chains, a transition matrix is obtained that is used to predict the weather for the next day.
Pelatihan Pembuatan Penelitian Tindakan Kelas di SMPN 14 Banjarbaru Saman Abdurrahman; Lilis Harianti Hasibuan; Mochammad Idris; Na’ímah Hijriati; Juwita Lasterina; Sheryn Amelia Puteri; Gusti Muhammad Rosyadi; Audinta Sakti Firmansyah; Nor Hidayati
Jurnal Pengabdian Pada Masyarakat Vol 7 No 4 (2022): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.4 KB) | DOI: 10.30653/002.202274.201

Abstract

CLASSROOM ACTİON RESEARCH-MAKING TRAİNİNG IN SMPN 14 BANJARBARU. Classroom Action Research is practical research intended to improve classroom learning. This research is one of the efforts of teachers or practitioners in the form of various activities carried out to improve and or improve the quality of learning in the classroom. Classroom Action Research can be interpreted as a process of studying learning problems in the classroom through self-reflection to solve these problems by carrying out various planned actions in real situations and analyzing any effects of the treatment. Classroom Action Research is one of the scientific publications in the context of sustainable teacher professional development aimed at improving and improving the quality of learning processes and outcomes or the quality of education in general. The article describes the implementation of Classroom Action Research Assistance Activities and Scientific Article Writing at SMPN 14 Banjarbaru, South Kalimantan. This activity is important because it can stimulate the creativity of teachers to conduct Classroom Action Research. The benefit of this activity is that teachers become more and more skilled in choosing or making appropriate learning methods for their students from time to time. Another impact of this activity can certainly improve teacher careers to a higher level.
Peramalan Harga Eceran Rata-rata Beras dengan Metode Trend : (Studi Kasus Harga Eceran Rata-rata Beras di Kota Padang) Mohamad Syafii; Rani Kurnia Putri; Lilis Suriani; Lilis Harianti Hasibuan
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 6 No. 1 (2023): Vol 6 No 1 Maret 2023
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v6i1.2134

Abstract

Penelitian ini bertujuan untuk menerapkan analisis trend pada peramalan harga eceran rata-rata beras di kota Padang. Data yang digunakan adalah data harga eceran rata-rata beras di Kota Padang pada Juli 2020 – Desember 2021. Analisis trend merupakan suatu metode analisis yang ditujukan untuk melakukan suatu estimasi atau peramalan pada masa yang akan datang. Variabel penelitian yang digunakan pada ini adalah harga eceran rata-rata beras pada periode tertentu sebagai variabel terikat dan periode waktu dalam bulan sebagai variabel bebas. Ada tiga jenis model trend yang digunakan pada penelitian ini yaitu trend linier, trend kuadratik dan trend eksponen. Tingkat kesalahan dalam peramalan diuji dengan menggunakan mean absolute percent error (MAPE). Berdasarkan hasil perhitungan MAPE diperoleh model peramalan harga eceran rata-rata beras terbaik, yaitu menggunakan model trend kuadratik dikarenakan model trend tersebut mempunyai tingkat kesalahan paling kecil.
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