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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 Journal of Applied Mathematics and Modelling
Hasibuan, Lilis Harianti
Universitas Islam Negeri Imam Bonjol Padang
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Mapping Evacuation Routes During a Tsunami Using the A* Algorithm Suchyan Hanafi; Ilham Dangu Rianjaya; Lilis Harianti Hasibuan
Journal of Applied Mathematics and Modelling Vol. 1 No. 2 (2025): Journal of Applied Mathematics and Modelling
Publisher : CIB Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64570/jamm.v1i2.55

Abstract

As an archipelago, West Sumatra is prone to tsunamis due to its location between three major tectonic plates. One of the tsunami-prone areas in West Sumatra province is Padang City, specifically Lubuk Buaya Subdistrict, because it borders directly on the sea, an active underwater volcano, and earthquakes on the seabed. To address this issue, the A* algorithm was applied to find evacuation routes from Pasir Jambak. The data used in this study were secondary data in the form of coordinate points and travel distances obtained from Google Earth, which were used in a weighted graph. The results of the study were obtained the shortest evacuation route from the origin point to the nearest destination point with a total distance of 2,751 m (2.7 km).
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.
REGRESI POISSON DENGAN PENDETEKSI DISPERSI GENERALIZED POISSON REGRESSION PADA KASUS ANGKA KEMATIAN IBU DI SUMATERA BARAT Haya Fatiha Sulisda; Lilis Harianti Hasibuan; Darvi Mailisa Putri
MAp (Mathematics and Applications) Journal Vol 8, No 1 (2026)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v8i1.13799

Abstract

Angka kematian ibu merupakan indikator kesehatan yang menunjukkan jumlah kematian ibu akibat kehamilan, persalinan, atau hingga 42 hari setelah kehamilan berakhir, yang disebabkan oleh faktor yang berkaitan dengan kehamilan dan penanganannya, bukan karena kecelakaan atau sebab lain di luar kehamilan. Metode analisis data yang digunakan dalam penelitian ini adalah model regresi Poisson, dengan tujuan memodelkan jumlah angka kematian ibu yang berupa data diskrit. Variabel bebas yang digunakan dalam penelitian ini adalah jumlah tenaga kesehatan, jumlah fasilitas kesehatan dan pendapatan per kapita. Syarat penting yang harus dipenuhi dalam model regresi Poisson adalah terpenuhinya asumsi Equidispersi, dimana nilai rata-rata sama dengan nilai variansi. Karena ditemukan indikasi pelanggaran asumsi tersebut, dilakukan pemodelan lanjutan menggunakan model generalized Poisson regression, dengan tujuan mengevaluasi tingkat dispersi yang terjadi pada data. Berdasarkan perbandingan nilai AIC dari setiap model yang dianalisis, model regresi Poisson dipilih sebagai model terbaik untuk memodelkan jumlah angka kematian ibu. Hasil penelitian menunjukkan bahwa jumlah tenaga kesehatan dan pendapatan per kapita berpengaruh terhadap jumlah angka kematian ibu di Sumatera Barat.
Study Camp Based Computational Thinking Assistance to Improve Mathematical Literacy at Madrasah Tsanawiyah, Padang City Lilis Harianti Hasibuan; Darvi Mailisa Putri; Ida Royani; Lisa Susanti; Latifatul Qalbi
Bakti Cendana Vol 9 No 1 (2026): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.v9i1.9667

Abstract

Literacy is an essential competency in responding to rapid technological advancements. Mathematical literacy enables students to understand, analyze, and apply mathematical concepts in various real-life contexts. This community service program aimed to strengthen students’ mathematical literacy through computational thinking assistance implemented in a study camp format. The activity adopted a Community-Based Research (CBR) model consisting of four stages: laying the foundation, planning, information gathering and analysis, and acting on findings. The study camp was conducted in a laboratory setting, beginning with the introduction of basic programming concepts and continuing with computational thinking exercises integrated into mathematical literacy problems. This approach is expected to foster students’ critical thinking skills and enhance their mathematical competencies through interactive and technology-based learning experiences.
Modeling Classification Of Stunting Toddler Height Using Bayesian Binary Quantile Regression With Penalized Lasso Lilis Harianti Hasibuan; Ferra Yanuar; Dodi Devianto; Maiyastri Maiyastri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.928

Abstract

Stunting is a child who has a height that is shorter than the age standard. One of the main indicators of stunting is a height that is lower than the standard for toddlers. Stunting in Indonesia is of great concern due to the high prevalence of stunting. Stunting children are at risk of impaired cognitive development, which will result in the development of human resources. This study aims to develop a classification model to detect stunted toddlers based on height using the Bayesian binary quantile regression method with LASSO (Least Absolute Shrinkage and Selection Operator). This method was chosen because of its ability to handle multicollinearity and variable selection problems automatically, as well as provide better estimates on non-normally distributed data. The data used in this study includes five independent variables such as age, weight at birth, gender, how to measure height and nutritional status. The results showed that independent variables that significantly affect the height of stunting toddlers can be a concern to reduce the problem of stunting in Indonesia. The results of model show that variable age, weight at birth, and nutritional status have a significant influence to classification of stunting toddler height. Indicator of model goodness is seen from the quantile that has the smallest MSE value. The model that has the smallest MSE is in quantile 0.25 with an MSE value of 0.1622.
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 Darvi Mailisa Putri Devianto, Dodi Faddila Hayati Fadhila Putri Indriani Fitri Rahmah Ul Hasanah Fitria Mardika Gusti Muhammad Rosyadi Haya Fatiha Sulisda Hijriati, Naimah Ida Royani Indah Permata Sari Indah Permata Sari Juwita Lasterina Kurnia Putri, Rani La Ode Nashar La Ode Sabran Latifatul Qalbi Lilis Suriani Lisa Susanti M Syahrul Ridho Nasution Maiyastri, Maiyastri 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 Salsabila, Unik Hanifah Saman Abdurrahman Sari, Anisa Rizki Sepri, Domi Sheryn Amelia Puteri Sholih, Ahmad Shubhi Subhan Ajrin Sudirman Suchyan Hanafi SURIANI, LILIS Susi Sulastri Lubis Syahadah, Nadila Syarto Musthofa Syarto Musthofa Ul Hasanah, Fitri Rahmah Winda Fransiska Yanuar, Ferra Yuharnida, Yuharnida