Article Per Year (5 Year)
p-Index From 2021 - 2026
1.259
P-Index
This Author published in this journals
All Journal Statistika Jurnal Statistika Universitas Muhammadiyah Semarang Intizar Indonesian Journal of Artificial Intelligence and Data Mining Zero : Jurnal Sains, Matematika, dan Terapan JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Prosiding University Research Colloquium El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Journal of Ekonomics, Finance, and Management Studies Teknologi : Jurnal Ilmiah Sistem Informasi
Laelatul Khikmah
Institut Teknologi Statistika Dan Bisnis Muhammadiyah Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Social Sciences

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Analisis Pengaruh Budaya Perusahaan Terhadap Kinerja Karyawan Menggunakan Metode Structural Equation Modeling - Partial Least Square (SEM - PLS) Reska Reska; Laelatul Khikmah
Jambura Journal of Probability and Statistics Vol 6, No 2 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i2.31392

Abstract

Kinerja karyawan merupakan aspek penting dalam manajemen sumber daya manusia (SDM) yang berpengaruh langsung terhadap tingkat produktivitas dan keberhasilan suatu organisasi. Penelitian ini bertujuan untuk mengetahui variabel budaya perusahaan yang paling berpengaruh terhadap kinerja karyawan, dimana budaya kerja diukur dari variabel profesional, keterbukaan, integritas, kekeluargaan, dan kesehatan, keselamatan kerja dan lingkungan (K3L) dan kinerja karyawan dengan menggunakan metode Structural Equation Modeling-Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa dari lima variabel budaya perusahaan yang diuji, hanya dua variabel yang mempunyai pengaruh signifikan terhadap kinerja karyawan, yaitu K3L dengan nilai t-statistik sebesar 4,981 dan keterbukaan dengan nilai t-statistik sebesar 1,993. Variabel lainnya, yaitu profesionalisme, integritas, dan kekeluargaan, tidak berpengaruh signifikan terhadap kinerja karyawan. Selain itu, hasil analisis menunjukkan bahwa nilai R-Square sebesar 0,753, yang berarti kelima variabel laten budaya perusahaan mampu menjelaskan 75,3% variabilitas kinerja karyawan, sedangkan 24,7% sisanya dipengaruhi oleh faktor lain tidak termasuk dalam penelitian ini. Berdasarkan hasil ini, perusahaan disarankan untuk meningkatkan penerapan K3L dengan memperkuat sistem keselamatan kerja dan kesehatan lingkungan guna menciptakan tempat kerja yang lebih aman dan nyaman. Selain itu, perusahaan juga perlu meningkatkan keterbukaan dalam komunikasi dan transparansi informasi untuk memperbaiki interaksi antara karyawan dan manajemen, sehingga dapat meningkatkan motivasi dan produktivitas kerja.
Analisis Regresi Logistik Biner pada Faktor-Faktor yang Mempengaruhi Kemiskinan di Provinsi Jawa Timur Kholishah Isnaini; Laelatul Khikmah
Jambura Journal of Probability and Statistics Vol 6, No 2 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i2.31362

Abstract

Poverty is a major challenge facing society and it contributes to the low rate of economic growth and inadequate quality of life. Indonesia has a relatively high percentage of poor people, largely due to its large population. East Java Province ranks third in terms of the highest poverty rate in Java. Poverty in East Java Province in 2019 until 2023 is in a phase of fluctuation that is not balanced by equal distribution of population and increased employment opportunities in East Java Province. This study aims to determine the factors that influence the poverty rate in the region and will also evaluate the extent to which the resulting model is effective in measuring poverty trends in East Java. The results show that the variable of expected years of schooling has an effect on poverty in East Java. Thus, every one-year increase in expected years of schooling can reduce the chance of a person experiencing poverty by 98.3%. Therefore, education has an important role in reducing poverty 
Predicting Malaria Incidence Using LSTM and Environmental Variables Wellie Sulistijanti; Laelatul Khikmah; Erisa Adyati Rahmasari; Cikal Arbitan Putra Sangnandha; Idan Maulana Yusuf; Dzahari Alikharimah Azizah
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 2 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i2.26043

Abstract

Climate change is exacerbating malaria risk in Indonesia, especially in Papua. This study proposes a Bidirectional Long Short-Term Memory (LSTM) model to forecast malaria incidence using climate variables. The dataset comprises monthly malaria and climate records (rainfall, temperature, humidity) from four high-endemic provinces between 2014 and 2024. Key methodologies included data augmentation to address data imbalances and a grouped time-series cross-validation for robust model evaluation. An ARIMA model was implemented as a validation baseline to benchmark the proposed approach. The Bi-LSTM model delivered superior performance, achieving an average test R² of 0.7210 and SMAPE of 11.02%. the model demonstrated excellent generalization with no evidence of overfitting, significantly outperforming the ARIMA baseline. The findings validate the use of deep learning models as effective tools for public health surveillance, providing reliable early warnings to support timely interventions. Future work will apply SHAP interpretability techniques and expanding the model's geographic scope.
Co-Authors Cikal Arbitan Putra Sangnandha Dina Novitasari Dini Gartina Dzahari Alikharimah Azizah Erisa Adyati Rahmasari Faikul Fahmi Idan Maulana Yusuf Istiawan, Deden Kholishah Isnaini Muhammad Firza Ibnu Hartono Nur Hafid Ibrahim Reska Reska Santoso, Arif Gunawan Wellie Sulistijanti Wulan Septya Ningrum