Claim Missing Document
Check
Articles

Found 7 Documents
Search

PENGARUH UKURAN PERUSAHAAN, UMUR PERUSAHAAN, STRUKTUR KEPEMILIKAN, PROFITABILITAS, DAN FINANCIAL LEVERAGE TERHADAP PERATAAN LABA (Studi pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Tahun 2014-2016) Pratiwi, Ananda; Kennedy, Kennedy; Kurnia, Pipin
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Vol 6, No 1 (2019): (Januari - Juni 2019)
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to analyze the influence of firm size, firm age, ownershipstructure, profitability, and financial leverage to income smoothing in manufacturingcompany listing in Indonesian Stock Exchange. Data is used in this research issecondary data from financial statement (annual report) in Indonesia Stock Exchangeperiod 2014-2016. The sample selection is done with less use of purposive samplingtechniques and criteria used by 51 companies selected.The method used in this study isusing multiple linear regression analysis by using Statistical Product and ServiceSolution (SPSS) ver. 22.0 for windows. The results showed that (1) firm size have notinfluence to income smoothing, level of significance 0,134>0,05, (2) firm age haveinfluence to income smoothing, level of significance 0,046<0,05, (3) ownershipstructure have influence to income smoothing, level of significance 0,030<0,05,(4) profitability have influence to income smoothing, level of significance0,018<0,05, and (5) financial leverage have influence to income smoothing, levelof significance 0,006<0,05.Keywords : Firm Size, Firm Age, Ownership Structure, Profitability, Financial Leverage,and Income Smoothing.
PEMODELAN PASIEN COVID-19 DI KOTA PALOPO DENGAN REGRESI LOGISTIK (Studi Perbandingan Regresi Logistik dan Analisis Survival) Patunduk, Krisna Wansi; Hidayat, Rahmat; Avini, Avini; Sumarni, Sumarni; Pratiwi, Ananda; Harbianti, Harbianti
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 5 No. 2 (2022): Volume 5 Nomor 2 Tahun 2022
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v5i2.1963

Abstract

Penelitian ini adalah penelitian yang dilakukan pada pasien Covid-19 yang ada di Kota Palopo. Penelitian ini bertujuan untuk memodelkan waktu kesembuhan pasien Covid-19 di Kota Palopo. Variabel yang digunakan dalam penelitian ini yaitu faktor-faktor yang diduga mempengaruhi waktu kesembuhan pasien Covid-19. Instrumen yang digunakan dalam penelitian ini yaitu data sekunder yang diperoleh dari Dinas Kesehatan Kota Palopo. Analisis data yang digunakan pada penelitian ini yaitu regresi logistik biner. Hasil dari penelitian yang dilakukan yaitu (1) model regresi yang dapat menggambarkan hubungan antara variabel independent dan variabel dependen, (2) Terdapat variabel yang berpengaruh nyata terhadap waktu ketahanan hidup pasien pasien Covid-19 di Kota Palopo yaitu faktor Jenis Kelamin.
Penyuluhan Edukasi Bahaya Merokok Di SMP Negeri 11 Sigi Wulandari, Sinta; Jamila, Sofia; Rabiah, Rabiah; Mardini, Rusna S; Magelo, Widya Grasela; Pratiwi, Ananda
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 1 No. 4 (2023): Sahabat Sosial: Jurnal Pengabdian Masyarakat (September)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v1i4.127

Abstract

Tobacco use is a global problem that causes death in the world. Tobacco smoking is a risk factor for six out of eight causes of premature death, namely ischemic heart disease, cerebrovascular disease, lower respiratory tract infections, chronic obstructive pulmonary disease, tuberculosis and cancer of the trachea, bronchi and lungs. Individuals who develop smoking behaviors in their early teens also have an increased risk of cardiovascular disease, respiratory disease, and cancer, and they are more likely to experiment with alcohol and other drugs. The Education Counseling on the Dangers of Smoking includes an explanation of the Dangers of Smoking and the effects that smokers can have. The education also provides knowledge on how to prevent smokers. With the existence of health education given to adolescents, it will add to the knowledge of adolescents about the dangers of smoking.
LONELINESS AND RELATIONAL MOBILITY WITH PROBLEMATIC INTERNET USE IN COLLEGE STUDENTS Pratiwi, Ananda; Noviekayati, I. G. A. A.; Pratitis, Niken Titi
International Journal of Social Service and Research Vol. 4 No. 9 (2024): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i9.925

Abstract

The rapid development of information and communication technology in addition to having a positive impact such as providing convenience in finding information for students, expanding knowledge, increasing insight, stimulating creativity and learning innovation and allowing wider access to education also has a negative impact such as various misuses of internet technology, such as excessive use to play games,  reduced focus while studying which can result in decreased academic performance. One of the negative impacts that quite a lot occurs is Problematic internet use that can occur to anyone when the duration or activity used by individuals in accessing the internet is so high that it makes individuals ignore other aspects of their lives. This study aims to determine the relationship between Loneliness and Relational mobility with Problematic internet use in students. The subjects of this study were 250 college students. The sampling technique used in this study was purposive sampling. Data collection in this study used a Google Form. The measuring instruments in this study are problematic internet use, Loneliness, Relational mobility. The results showed that Loneliness and Relational mobility correlated with problematic internet use. There is a positive relationship between Loneliness and problematic internet use. The higher the Loneliness, the higher the problematic internet use. There is a negative relationship between Relational mobility and problematic internet use. The higher the Relational mobility, the lower the problematic internet use.
Nomophobia Tendency in College Students Who Have Extroverted Per-sonalities Pratiwi, Ananda; Noviekayati, IGAA; Titi Pratitis, Niken
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.34663

Abstract

Although previous research has examined the general impact of nomophobia—anxiety experienced when without a mobile phone—on student populations, limited studies have specifically addressed how this condition manifests among individuals with extroverted personalities. This study aims to fill that gap by descriptive analysis of nomophobia tendencies in college students who identify as extroverts. Utilizing a quantitative descriptive approach, data were collected through purposive sampling from 148 students aged 18–25 years. The findings revealed that 127 out of 148 extroverted students demonstrated a notable tendency toward nomophobia. These results highlight the significant vulnerability of extroverted individuals to mobile phone dependence, likely due to their high need for social interaction. The study contributes to psychological research by underscoring the intersection between personality traits and technology-related anxiety. Practically, the findings offer valuable insight for mental health professionals and educators to develop targeted interventions for reducing nomophobia in extroverted student populations.
Empowering young minds: An e-book intervention to boost earthquake disaster literacy Pratiwi, Ananda; Aryani, Heny; Wati, Nia; Laila, Luthfiyaul; Saregar, Antomi; Mubarok, Husni; Deta, Utama Alan
Journal of Advanced Sciences and Mathematics Education Vol 3, No 2 (2023): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v3i2.320

Abstract

Background: Education on disaster mitigation remains critically underemphasized, with existing pedagogical approaches often falling short in adequately preparing children for the realities of natural disasters. This gap underscores the urgent need for innovative educational tools that can effectively enhance disaster literacy among younger populations.Aim: This study aims to develop and assess an Earthquake E-Book designed to elevate the disaster literacy levels among children, focusing on its validity, practicality, and effectiveness as educational media.Method: Employing a Research and Development (RnD) framework, the study navigated through stages of problem identification, design formulation, and implementation, excluding the evaluation phase to concentrate on the developmental process. The implementation employed a One-Group Pretest-Posttest design, involving pretesting, intervention (treatment), and posttesting phases. The e-book's validity was appraised by three expert validators, while its practicality was gauged through student questionnaires, and its effectiveness was measured using the N-Gain test on student learning outcomes.Results: The Earthquake E-Book garnered an average validation score of 85.4 percent, positioning it within the valid category. Practicality assessments reflected an 85.4 percent efficiency rating from student feedback. Furthermore, the effectiveness, as indicated by an N-Gain score of 0.74, was classified within the high category, signifying substantial improvements in children's disaster literacy post-intervention.Conclusions: The findings affirm that the Earthquake E-Book stands as a valid, practical, and effective educational tool in bolstering disaster literacy among children. By integrating this digital resource into disaster mitigation education, it is anticipated to significantly contribute to enhancing children's understanding and preparedness for earthquake disasters.
MICE and ADASYN for Missing Data Imputation and Imbalanced Data Handling on Heart Disease Classification Desiani, Anita; Dewi, Deshinta Arrova; Amran, Ali; Pratiwi, Ananda; Andriani, Yuli; Cahyono, Endro Setyo
Science and Technology Indonesia Vol. 10 No. 4 (2025): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.4.1020-1030

Abstract

The quality of data is determined by several things, namely the completeness and balance data. The heart disease dataset from the University of California, Irvine (UCI) has missing and imbalanced data, which if it is not handled, can lead to a lack of accuracy in the prediction model and errors in interpreting the data. To overcome missing data, several methods can be used, one of which is data imputation. Attributes with missing data of 5% or less are handled using imputation methods such as Mean, Mode, and MICE. Attributes with numeric types are handled by Mean. Attributes with categorical types are imputed byMode. Attributes with more than 5% missing data are imputed using the MICE method. Imbalanced data can be handled by applying an oversampling method using the Adaptive Synthetic Sampling Approach (ADASYN). The effect of imputing missing data and addressing class imbalance on heart disease classification performance was tested using Random Forest, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP) algorithms. After handling missing values and data imbalance, improvements were observed in the classification results. The accuracy, precision, recall, and F1-score showed excellent performance, above 90% on several classification methods. The results indicate that handling missing and imbalanced data through Mean, Mode, MICE, and ADASYN positively impacts the performance of classifiers on the UCI heart disease dataset.