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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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PELATIHAN DESAIN SOAL LITERASI MATEMATIKA DENGAN INJEKSI COMPUTATIONAL THINKING UNTUK GURU MADRASAH DI SUMATERA BARAT Lilis Harianti Hasibuan; Miftahul Jannah; Mohamad Syafii; Ilham Dangu Rianjaya
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 3 (2023): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i3.773-782

Abstract

Berdasarkan hasil PISA, pengetahuan dan kemampuan literasi matematika peserta didik masuk dalam kategori rendah. Pada tahun 2018, Indonesia berapa pada peringkat 63 dari 72 negara. Salah satu bentuk upaya yang dilakukan dalam mengembangkan kemampuan literasi matematika peserta didik yaitu dengan menyisipkan computational thinking pada proses pembelajaran. Langkah pertama yang dapat dilakukan dalam mengembangkan kemampuan literasi adalah memberikan pelatihan kepada guru tentang bagaiman cara desain soal dengan injeksi computational thinking. Hal ini dikarenakan guru mempunyai peranan penting dalam proses pembelajaran dan terlibat langsung interaksi dengan siswa. Tujuan dalam kegiatan pelatihan ini agar setiap guru mempunyai bekal dan gambaran penerapan computational thinking dalam mata pelajaran matematika. Adapun hasil kegiatan pelatihan ini adalah guru mampu desain soal literasi matematika dengan injeksi computational thinking dan dapat diterapkan di kelas sebagai latihan soal sehingga mampu meningkatkan penalaran dan berpikir kritis siswa.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PROFITABILITAS BANK UMUM YANG DIAWASI LANGSUNG OLEH OTORITAS JASA KEUANGAN PROVINSI SUMATERA BARAT (PERIODE 2015-2022) Amelia Putri; Fadhila Putri Indriani; Lilis Harianti Hasibuan
MAp (Mathematics and Applications) Journal Vol 5, No 1 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i1.6054

Abstract

This study aims to model the factors that influence the profitability of commercial banks which are directly supervised by the Financial Services Authority of West Sumatra Province, namely, Capita Adequacy Ratio (CAR), Operational Income Operational Agency (BOPO), Net Interest Margin (NIM), Loan to Deposit Ratio (LDR), and Non Performing Loans (NPL) to Return On Assets (ROA). This study uses secondary data taken based on the time period. The data is taken from the official website of the Financial Services Authority and the Bank Nagari Annual Report. The analysis technique in this study used multiple linear regression using SPSS 16 software. The results of this study indicated that partially CAR, NIM, LDR, and NPL had no significant effect on ROA, while BOPO partially had a significant effect on ROA. The five variables simultaneously have a significant effect on ROA. Furthermore, based on the results of the coefficient of determination test, the value of Adjusted R square 〖(R〗^2) is 75.4%, this means that the ROA can be influenced by the variables CAR, BOPO, NIM, LDR, and NPL, while the remaining 24.6% is explained by other variables not used in research.
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 .
Pemodelan Indeks Pembangunan Manusia (IPM) dengan Regresi Logit dan Probit Putri, Darvi Mailisa; Ul Hasanah, Fitri Rahmah; Jannah, Miftahul; Hasibuan, Lilis Harianti
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 10 No 2 (2022): VOLUME 10 NOMOR 2 TAHUN 2022
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v10i2.31438

Abstract

Penelitian ini mengkaji tentang variabel yang mempengaruhi Indeks Pembangunan Manusia (IPM) di provinsi Sumatera Barat. Regresi logit dan probit menjadi model yang akan diterapkan pada kasus ini. Berdasarkan kedua model diketahui bahwa variabel Usia Harapan Hidup (UHH) adalah variabel yang mempengaruhi Indeks Pembangunan Manusia (IPM) secara signifikan. Model regresi probit menjadi model terbaik melalui pemilihan nilai Akaike’s Information Criterion (AIC) terkecil.
Pelatihan Pembuatan dan Pengelolaan Website Nagari Sungai Sirah Kuranji Hulu Berbasis CMS Wordpress Arham, Aulia; Sudirman, Subhan Ajrin; Wendry, Novizal; Lestari, Novia; Riza, Ozzy Secio; Hasibuan, Lilis Harianti; Rizqullah, Muhammad Naufan
Jurnal Pengabdian dan Pemberdayaan Masyarakat Kepulauan Riau (JPPM Kepri) Vol. 3 No. 2 (2023): Volume 3 Nomor 2, 2023
Publisher : STAIN SULTAN ABDURRAHMAN KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35961/jppmkepri.v3i2.958

Abstract

Teknologi informasi memiliki peran yang sangat penting dalam memberikan layanan dan menyediakan informasi terkait lembaga atau organisasi tertentu. Pelayanan informasi menggunakan website berfungsi untuk menyajikan berbagai informasi, layanan, produk, atau konten lainnya kepada para pengguna internet. Fakta ini juga disadari oleh pemerintah Nagari Sungai Sirah Kuranji Hulu yang terletak di Kecamatan Sungai Geringging, Kabupaten Padang Pariaman, bagian dari Provinsi Sumatera Barat. Mereka mengajukan usulan kepada Fakultas Sains dan Teknologi, Universitas Islam Negeri Imam Bonjol Padang untuk mendapatkan informasi dan bantuan dalam membuat dan mengelola sebuah website. Oleh karena itu, pelatihan mengenai pembuatan dan pengelolaan website di Nagari Sungai Sirah Kuranji Hulu menjadi penting. Maksud dari kegiatan ini adalah untuk menyediakan pendampingan serta pelatihan kepada perangkat nagari untuk membuat dan mengelola website menggunakan Content Management System (CMS) Wordpress. Metode yang digunakan adalah ceramah, Focus Group Discussion (FGD), demonstrasi, praktek, dan evaluasi. Berdasarkan evaluasi, kegiatan ini mendapatkan tingkat kepuasan yang tinggi, dengan rata-rata nilai kepuasan diatas 86,5%.
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 .
OPTIMASI PREDIKSI CURAH HUJAN KOTA PADANG DENGAN MODEL ARIMA Putri, Darvi Mailisa; Hasibuan, Lilis Harianti; Nur, Rizki Amalia; Asfa'ani, Ezhari
MAp (Mathematics and Applications) Journal Vol 5, No 2 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i2.7138

Abstract

The rain is a natural phenomenon that is still a concern for several parties. Especially the assessment of rainfall in an area. This is important because high rainfall will result in natural disasters and have an impact on people's lives. So it is necessary to predict rainfall, although this is a complex problem. This research aims to optimise the prediction of Padang city rainfall data with monthly data for the period January 2018 to December 2021. The ARIMA model is used to analyse the data provided that the data must be stationary. Data stationarity can be seen from the Augmented Dickey-Fuller (ADF) test. After the ADF test is performed, the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots help in determining the order of the ARIMA model. The ARIMA (0,1,1) model was found to be the best model based on the smallest Akaike's Information Criterion (AIC) value.
ANALISIS DATA LONGITUDINAL DENGAN RESPON BINER MENGGUNAKAN GENERALIZED ESTIMATING EQUATION (GEE) Musthofa, Syarto; Hasibuan, Lilis Harianti; Putri, Darvi Mailisa; Jannah, Miftahul; Rianjaya, Ilham Dangu
MAp (Mathematics and Applications) Journal Vol 5, No 2 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i2.7416

Abstract

Data longitudinal adalah data yang diperoleh dari hasil pengukuran sejumlah individu secara berulang dalam beberapa waktu yang berbeda. Data longitudinal menunjukkan bagaimana perubahan nilai pada individu yang diamati relatif terhadap waktu dan beberapa kovariat yang menjadi perhatian. Variabel respon pada data longitudinal dimungkinkan dalam bentuk biner. Data dengan respon biner pada dasarnya bisa dianalisis dengan regresi logistik. Namun, regresi logistik tidak mempertimbangkan korelasi antar pengamatan yang mungkin terjadi pada satu individu. Dalam penelitian ini Generalized Estimating Equation (GEE) digunakan dalam melakukan estimasi parameter pada model data longitudinal. GEE memberi ruang pembahasan pada adanya kemungkinan korelasi antar pengamatan pada satu individu untuk data longitudinal yang memiliki variabel respon biner. Studi kasus dalam penelitian ini menganalisis probabilitas terjadinya kondisi suhu di atas normal berdasarkan lamanya penyinaran matahari (X_1). Estimasi parameter yang dilakukan menghasilkan model π_i=1/(1+e^(-(-2.427+0.553x_1i)) ) dengan struktur korelasi exchangeable (α=0,607) yang menunjukkan bahwa semakin lama penyinaran matahari akan semakin memperbesar probabilitas kondisi suhu di atas normal. Kata Kunci: Data Longitudinal, Regresi Logistik, Generalized Estimating Equation (GEE)
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