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All Journal Edumatsains Science and Technology Indonesia Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) Eksakta : Berkala Ilmiah Bidang MIPA GERVASI: Jurnal Pengabdian kepada Masyarakat Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Indonesian Journal of Education and Mathematical Science Jurnal Statistika dan Matematika (Statmat) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Science and Technology Indonesian Community Journal Multi Proximity: Jurnal Statistika Universitas Jambi Jurnal Pengabdian Masyarakat Pinang Masak SEWAGATI: Jurnal Pengabdian Kepada Masyarakat BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Journal of Mathematics, Computation and Statistics (JMATHCOS) Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Prismatika: Jurnal Pendidikan dan Riset Matematika
Yurinanda, Sherli
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PENERAPAN METODE ARIMA BOX-JENKINS UNTUK MEMPREDIKSI HARGA SAHAM DI PT ANEKA TAMBANG TBK Triputra, Ilham Yusuf; Sufri; Yurinanda, Sherli
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 5 No. 2 (2023): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

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Abstract

A capital market is a market in which long-term trading of financial assets takes place, or a market in which various financial instruments are traded. The development of capital markets promotes the economic development of the country. The form of investment in the capital market is in the form of shares. Because stock prices are constantly fluctuating, capital market participants need analysis to help predict future stock prices. PT Aneka Tambang TBK or ANTM for short is one of the stocks traded in Indonesia's capital market. This study applied the Box-Jenkins ARIMA method for the period from July 2021 to November 2021 to determine the optimal forecast model for stock price fluctuations of ANTM, and obtained forecast results in December 2021. It is intended to The best preserved model is his ARIMA model (3,2,0) and ANTM's December 2021 stock price forecast results are down.
PENERAPAN MODUL BERBASIS PROJECT BASED LEARNING PADA MATA KULIAH ANALISIS REAL 2 Yurinanda, Sherli; Multahadah, Cut; Z, Gusmanely
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 6 No. 1 (2023): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

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Abstract

The education dharma program states that lecturers have the main task of administering education. Permenristekdikti No. 44 of 2015 states the minimum criteria for the learning process, namely CPL (Graduate Learning Outcomes). CPL requires student-centered learning and the role of the lecturer as a facilitator so that Student Center Learning (SCL) is created. Real Analysis 2 which is a follow-up course from Real Analysis 1. Real Analysis 2 is a pure mathematics course that contains a collection of definitions and theorems and lemmas that involve proof. So far, learning real analysis is difficult for students to accept, namely making connections between one rule and another. One learning model that facilitates students to fulfill the CPL for Real Analysis 2 course is the PjBL (Project Based Learning) model. PjBL implementation must be supported by adequate learning facilities. Therefore, a module based on the PjBL model is needed. The use of this PjbL-based module is expected that students will be able to solve mathematical problems and support the fulfillment of CPL courses which results in the formation of creative and systematic mathematics students who are good at solving problems and have the capabilities and competencies needed by the world of work.
PREDIKSI HARGA TANDAN BUAH SEGAR KELAPA SAWIT MENGGUNAKAN MODEL GATED RECURRENT UNIT DI PROVINSI JAMBI Juniasti Gulo; Yurinanda, Sherli; Sormin, Corry
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 8 No. 1 (2025): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33503/prismatika.v8i1.2138

Abstract

Oil palm is a leading commodity that plays a strategic role in Indonesia’s agricultural sector. Jambi Province is one of the main producers of fresh fruit bunches (FFB) is the main harvest product of oil palm. Although production levels are high and global demand continues to increase, FFB prices tend to fluctuate, creating income uncertainty for both farmers and industry players. These fluctuations are influenced by various factors and require a modeling approach capable of capturing historical patterns in time series data that are nonlinear and volatile. This study aims to apply the Gated Recurrent Unit (GRU) model to predict oil palm FFB prices in Jambi Province. GRU is selected because it is effective in processing sequential data and retaining long-term information through its update gate and reset gate mechanisms. The data used consist of daily FFB prices over the past three years. The research process includes preprocessing, normalization using the min–max scaler, data splitting (80% training and 20% testing), model training with various hyperparameter combinations, and evaluation using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The results show that the GRU model successfully captures the historical patterns of FFB prices. The best configuration was obtained with a learning rate of 0.01, hidden size of 128, batch size of 16, window size of 5, and 100 epochs. The model achieved an MSE of 0.0418 on the training data and a MAPE of 12.82% for the 50-day forecast. These values indicate a good level of accuracy, suggesting that the GRU model is suitable as a data-driven decision support tool to enhance price stability and assist plantation business planning in Jambi Province.
PEMODELAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION PADA PRODUK DOMESTIK REGIONAL BRUTO Ramadhan, M. Rizky; Yurinanda, Sherli; Sarmada
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 8 No. 2 (2026): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33503/prismatika.v8i2.2833

Abstract

Regional development aims to promote economic growth in society, which is commonly measured using Gross Regional Domestic Product (GRDP). Sumatra Island is one of the regions that makes a substantial contribution to national economic growth. However, compared to other provinces in Sumatra, Jambi Province still records a relatively lower GRDP value. In addition, GRDP growth among regencies/municipalities in Jambi Province shows disparities and fluctuates from year to year. This condition reflects variations in the influence of economic factors both spatially and temporally. Spatial variation is indicated by the interregional linkage of GRDP and differences in the economic characteristics of each area, while temporal variation is observed through changes in annual GRDP growth influenced by commodity price fluctuations, development projects, and local economic dynamics. If the analysis is conducted using conventional linear regression without considering spatial and temporal aspects, it may violate classical assumptions, such as the presence of heteroskedasticity, residual autocorrelation, and the inability of the model to capture the dynamics of GRDP changes. This may result in biased and less valid coefficient estimates. This study aims to analyze the effects of Domestic Investment, Human Development Index (HDI), Labor Force Participation Rate (LFPR), Local Own-Source Revenue, and Capital Expenditure on the GRDP of regencies/municipalities in Jambi Province during the 2021–2024 period using the Geographically and Temporally Weighted Regression (GTWR) method. The analysis is carried out through testing spatial and temporal effects, determining the weighting function, estimating parameters, and evaluating model goodness-of-fit using the AIC and R² values. The results show that the GTWR model yields an AIC value of 90.93 and an R² value of 0.526.  
Faktor-faktor yang Mempengaruhi Produktivitas Kinerja Karyawan di PT Sari Aditya Loka-1 Menggunakan Regresi Linier Berganda Riadil Jannah; Sherli Yurinanda
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 4 No. 2 (2025): Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v4i2.4166

Abstract

The key measure of employee performance productivity is determined by several factors, such as appropriate age, employee attendance rate (infrequent illness or leave), and the number of non-effective working days. To determine the extent to which these factors influence employee productivity, multiple linear regression analysis is used. The results of the analysis show that employee age has a significant influence on productivity, while non-effective working days and the frequency of employee illness or leave have little impact.
Co-Authors Afrianda, Vionica Afrianto, Muhammad Ficky Aryani, Lira Aryani, Reni CUT MULTAHADAH Darvi Mailisa Putri Devianto, Dodi Ditya Ismi Budiarti Fajrin, Dirani Amaris Fitriyani Fitriyani Gusmanely Z Gusmanely Z. Gusmi Kholijah Ilham Yusuf Triputra Juniasti Gulo Khaira, Ulfa M. RIZKY RAMADHAN M. Yogi Riyantama Isjoni Mardhotillah, Bunga Mardian Peslinof Margaretha Pasaribu Multahadah, Cut Multhadah, Cut Niken Rarasati Nurhadi, Miranda Sukma Pasaribu, Yuriska Ramayani Nur Hadiati Randi Irawan Riadil Jannah Rizqa Raaiqa Bintana Safitri, Yuliana Samsidar Samsidar Sarmada Sarmada, Sarmada Sormin, Corry Srikandi Suci Wulandari Suci Wulandari Sufri Sufri Susi Marisa Syamsyida Rozi Tasya, Anisya Triputra, Ilham Yusuf Trisnawati, Theodora Tantri Ulfa Khaira, Ulfa Wardi Syafmen Yanuar, Ferra Yoza Fendriani Z, Gusmanely