Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal Jurnal TIMES Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika Utsaha: Journal of Entrepreneurship International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC)
Indahwati
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Chemistry Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
THE WASTE BANK FINANCIAL REPORTS AS BUSINESS DEVELOPMENT IN HOUSING ENVIRONMENT OF LARANGAN MEGA ASRI SIDOARJO Agustini, Ni Ketut Yulia; Indahwati; Marpurdianto, Kharis
UTSAHA: Journal of Entrepreneurship Vol. 2 Issue 1 (2023)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/joe.v2i1.252

Abstract

This community service aims to improve the status of a “waste bank” for Small and Medium Enterprises (UMKM). Therefore, preparation was needed, such as evaluating financial statement, then conducting training on compiling financial statement for Small and Medium Enterprises (UMKM). Fikriyyah, S. F., & AdiWibowo (2018; 703) state that a “waste bank” forms a community service that cares for the environment and is expected to increase the income. Thus, the existence of a “waste bank” does not significantly affect household income because the average monthly revenue was about 0.4 % to 0.68%. Therefore, the target of the community service was to evaluate the financial statements of “waste bank” adjusting by compiling financial statement for Small And Medium Enterprises, known as UMKM in Indonesia. Furthermore, this community service has been carried out multi-year, which will continue with entrepreneurship training and preparation for establishing a Small And Medium Enterprises (UMKM) to the “waste bank”.  
Pemodelan Tingkat Kecanduan Games Online Menggunakan Regresi Logistik Ordinal Hidayah, Nur; Indahwati; Fitrianto, Anwar; Erfiani; Aliu, Muftih Alwi
MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika Vol. 5 No. 1 (2024): MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/mathlocus.v5i1.4335

Abstract

Analisis regresi yang digunakan untuk memodelkan hubungan antara variabel prediktordan variabel respon yang berskala ordinal disebut regresi logistik ordinal. Data ini diperoleh darisurvei yang dilakukan oleh peneliti sebelumnya untuk mengukur tingkat kecanduan games onlinedengan menggunakan pemodelan matematika PEAR. Kecanduan games online menjadifenomena yang semakin mengkhawatirkan di era digital ini, dengan dampak negatif yangsignifikan pada aspek sosial, psikologis, dan akademik. Penelitian ini bertujuan untukmemodelkan model prediktif dengan mengukur tingkat kecanduan games online melalui aplikasiregresi logistik ordinal. Model ini mempertimbangkan beberapa variabel prediktor, yaitu umur,durasi bermain games, durasi bermain per hari, dan jenis games. Regresi logistik ordinaldigunakan karena variabel responnya, yaitu tingkat kecanduan bermain games, bersifat ordinaldan terdiri dari lebih dari dua kategori yang berurutan. Model ini menunjukkan akurasi sebesar92,5%, yang mengindikasikan kemampuan model dalam mengklasifikasikan tingkat kecanduanbermain games online dengan keandalan yang tinggi.
Analisis Regresi Logistik Biner untuk Mengidentifikasi Faktor-Faktor yang Mempengaruhi Keterdeteksian Kasus Perceraian di Indonesia Timur (Maluku, Maluku Utara, dan Papua Barat) Waliulu, Megawati Zein; Indahwati; Fitrianto, Anwar; Erfiani; Muftih Alwi Aliu
MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika Vol. 5 No. 1 (2024): MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/mathlocus.v5i1.4339

Abstract

Mayoritas kabupaten/kota di Provinsi Maluku, Maluku Utara, dan Papua Barat tidak melaporkan kasus perceraian dengan persentase sebesar 53,6%. Sementara itu, 46,4% kabupaten/kota di provinsi tersebut melaporkan adanya kasus perceraian pada tahun 2023. Penelitian ini menggunakan metode regresi logistik biner yang bertujuan untuk memodelkan serta mengidentifikasi faktor-faktor yang mempengaruhi kasus perceraian di Indonesia Timur. Penelitian ini penting dilakukan untuk memahami dinamika sosial dan ekonomi di Indonesia Timur. Hasil penelitian menunjukkan bahwa model regresi logistik biner memiliki ketepatan prediksi sebesar 77,27% dengan peubah jumlah pulau (X3), jarak ke ibu kota (X4), dan luas kabupaten/kota (X5) memberikan pengaruh yang signifikan terhadap kasus keterdeteksian perceraian pada taraf nyata 90%.
Comparison of Ordinal Logistic Regression and Geographically Weighted Ordinal Logistic Regression (GWOLR) in Predicting Stunting Prevalence among Indonesian Toddlers Setyowati, Silfiana Lis; Indahwati; Fitrianto, Anwar; Erfiani; Aliu, Muftih Alwi
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 21 No. 2 (2024): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v21i2.15416

Abstract

Ordinal logistic regression is a type of logistic regression used for response variables with an ordinal scale, containing two or more categories with levels between them. This method is an extension of logistic regression where the observed response variable is ordinal with a clear order. It addresses spatial effects that can cause variance heterogeneity and improve parameter estimation accuracy compared to logistic regression. Geographically Weighted Regression (GWR) is a statistical analysis technique designed to account for spatial heterogeneity. GWOLR is an extension of OLS and GWR models that incorporates spatial elements into regression with categorical variables. This study compares the effectiveness of OLR and GWOLR in analyzing stunting prevalence in toddlers. Comparing OLR and GWOLR can help assess the spatial impact on stunting prevalence. This analysis could reveal that certain regions have a higher tendency for stunting prevalence, while others might have lower tendencies, thus helping in understanding regional disparities. Toddler height is a key indicator of health and nutrition in early growth. The prevalence of stunting for toddlers, according to WHO, is categorized into four levels: low, moderate, high, and very high. The Ordinal Logistic Regression model is better suited for modeling toddler stunting prevalence in Indonesia than the GWORL model. The Ordinal Logistic Regression model and the GWOLR both have a classification accuracy of 85.7%, but the OLR model has a lower AIC value. The GWOLR model is not suitable for analyzing stunting prevalence among Indonesian toddlers due to the lack of spatial variability in the data. The Breusch-Pagan test results indicate that there is no spatial heterogeneity in the data on stunting prevalence among Indonesian toddlers, as the p-value is less than the significance level of 0.05. The prevalence of undernourished toddlers is the main factor influencing stunting among Indonesian toddlers.
KOMPARASI TEKNIK UNDERSAMPLING DAN OVERSAMPLING PADA REGRESI LOGISTIK BINER DALAM MENDUGA FAKTOR DETERMINAN BERHENTI MEROKOK PENDUDUK LANJUT USIA Amelia, Reni; Indahwati; Erfiani; Fitrianto , Anwar; Rizki, Akbar
Jurnal TIMES Vol 10 No 2 (2021): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.97 KB) | DOI: 10.51351/jtm.10.2.2021652

Abstract

Teknik resampling adalah salah satu teknik pre-processing untuk menyeimbangkan distribusi data sehingga mengurangi efek distribusi kelas atau kategori yang tidak seimbang. Teknik resampling yang biasa digunakan adalah random oversampling dan random undersampling. Dalam penelitian ini, random oversampling digunakan untuk menyeimbangkan data dengan cara oversampling secara acak pada kelas minoritas (penduduk lansia yang berhenti merokok). Random undersampling digunakan untuk menyeimbangkan data dengan cara undersampling (mengeliminasi) secara acak kelas mayoritas (penduduk lansia yang masih merokok). Data yang telah diproses dengan resampling selanjutnya dilakukan pemodelan dengan model regresi logistik biner. Model regresi logistik biner dengan random undersampling merupakan model terbaik karena memiliki balanced accuracy terbesar. Peubah yang signifikan memengaruhi berhenti merokok adalah pendidikan, pekerjaan, akses internet, dan usia lansia.
IMPLEMENTATION OF BALANCED SCORECARD AT PT. MB Randi Lukmanto; Dwi Bakti Iriantini; Indahwati
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 2 No. 2 (2024): April
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v2i2.206

Abstract

This study aims to determine the performance of PT. MB uses a balanced scorecard approach. Primary data were obtained from questionnaires using the nonprobability sampling purposive sampling method. Data obtained from customers and employees of PT. MB. Secondary data obtained from the financial statements of PT. MB period 2020 to 2022. The population is all customers and employees of PT. MB. The samples used were 94 samples for customers and 72 samples for employees. The data analysis method uses descriptive statistical test techniques. To determine the level of customer and employee satisfaction scores using factor analysis. The results of the balanced scorecard study on a financial perspective have an average performance from 2020 to 2022 for ROA has an average of 3.18%, ROE 3%, and NPM 2.30%. From a customer perspective, it is measured through a questionnaire with an average customer satisfaction level of 3,559. Customer acquisition costs have averaged $3.35. Consumer profitability has an average value of 3.10%. In the internal business process preceptive, the AETR ratio has an average of 11.55%. The time cycle of availability of goods has an actual time of 8.09. Sales order cancellation 0.8%. From a growth and learning perspective, the average employee productivity rate is 0.39%. Employee training has an average of 66.67%. And the level of employee satisfaction showed an average of 3,108.
Co-Authors Agustini, Ni Ketut Yulia ALIU, MUFTIH ALWI Amelia, Reni Dwi Bakti Iriantini Erfiani Fitrianto, Anwar Marpurdianto, Kharis Muftih Alwi Aliu Nur Hidayah Randi Lukmanto Rizki, Akbar Setyowati, Silfiana Lis Waliulu, Megawati Zein