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All Journal Journal of Maternal and Child Health Jurnal Riset Informatika Jurnal Pendidikan Fisika dan Teknologi Jurnal Sekretari Universitas Pamulang JURNAL MANAJEMEN
Palupi, Endang
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Medicine & Pharmacology Physics Public Health Social Sciences

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Path Analysis on the Effect of Healthy Behavior and other Determinants on Infant Mortality: Evidence from Karanganyar District, Central Java Palupi, Endang; Salimo, Harsono; Murti, Bhisma
Journal of Maternal and Child Health Vol. 5 No. 5 (2020)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: One indicator of a country's progress is the infant mortality rate. Infant mortality is affected by many factors, both exogenous and endogenous. This study aimed to determine the factors causing significant infant mortality to reduce infant mortality in Karanganyar Regency.Subjects and Method: This study was an observational study with a cross-sectional design. This study was conducted in Karanganyar Regency from February to May 2020. The sample was 200 study subjects. The sample was selected by fixed disease sampling. The criteria were babies aged 1 month to fewer than 2 years. The variables observed for the effect were infant mortality, clean and healthy life behavior, exclusive breastfeeding, parental income, maternal education, infant nutritional intake, immunization status, birth weight of infants, illness history of infants, health services, cleanliness of the home environment. The data were collected by a set of questionnaires and analyzed using path analysis with Stata version 13.Results: The risk of infant mortality increased by the cleanliness of the home environment (b=3.84; 95%CI=1.76 to 5.92; p<0.001), infant nutrition intake (b=4.07; 95 CI=2.25 to 5.89; p<0.001), illness history of infants (b=3.03; 95%CI=1.34 to 4.72; p<0.001). The risk of infant mortality decreased by clean and healthy life behavior (b=-5.34; 95%CI=-7.75 to -2.94; p<0.001). Infant mortality was affected indirectly by exclusive breastfeeding, parental income, maternal education, birth weight of infants, immunization status, and health care facilities.Conclusion: Infant mortality is directly affected by the cleanliness of the home environment, clean and healthy life behavior, nutritional intake of infants, and illness history of infants. Infant mortality is indirectly affected by exclusive breastfeeding, parental income, maternal education, birth weight of infants, immunization status, and health care facilities.Keywords: Healthy behavior, determinant infant mortality, path analysisJournal of Maternal and Child Health (2020), 05(05): 467-481https://doi.org/10.26911/thejmch.2020.05.05.02.
INFLUENCE OF CAPITAL STRUCTURE, OWNERSHIP STRUCTURE, FIRM SIZE AND SALES GROWTH AGAINST FINANCIAL DISTRESS (STUDY ON FAMILY COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE YEAR 2018 -2020) Wahyuningsih, Dwi Warni; Palupi, Endang; Rapini, Titi
JPIM (Jurnal Penelitian Ilmu Manajemen) Vol 9 No 2 (2024): JPIM (JURNAL PENELITIAN ILMU MANAJEMEN)
Publisher : Universitas Islam Lamongan

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Abstract

At the end of 2019, it became intimidation in itself almost all over the world, this began with the shock of the covid 19 virus. The wider the spread of this virus, the more it will have an impact on the economy in various countries as well as Indonesia. With the hampering of the export and import processes, the level of public consumption is getting lower until the implementation of layoffs in several companies. With the background of these conditions, researchers are interested in studying more deeply the company's financial distress. The financial distress itself can be influenced by several factors such as capital structure, ownership structure, company size, and sales growth. The purpose of this study is to determine the effect of capital structure, ownership structure, firm size, and sales growth on financial distress in family companies. The scope of this study is a family company listed on the IDX which is also an object in the study. This study used data on family companies listed on the Indonesia Stock Exchange for the period 2018 to 2020 with the criteria, namely companies with minimum family ownership of 25%. The data used in this study are financial statements obtained from www.idx.co.id.
Development of PjBL-based Canva Teaching Media with STEM approach to Improve Students' Critical Thinking Palupi, Endang; Karyanto, Puguh; Sugiharto, Bowo
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 1a (2025): Special Issue
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i1a.9422

Abstract

Science is a subject that contains activities to understand the universe through observation and using specific procedures to get a conclusion so that it will be more meaningful and can help improve the quality of human resources if implementing learning that allows students to develop knowledge and the ability to apply their knowledge in dealing with problems in everyday life. This study aims to analyze the characteristics of Canva teaching media based on Project-based Learning (PjbL) with the Science Technology Engineering and Mathematics (STEM) approach to increasing students' critical thinking. Based on predetermined characteristics, analyze the validity of Canva teaching media based on Project-based Learning (PjbL) with the Science Technology Engineering and Mathematics (STEM) approach to increasing students' critical thinking, and analyze the effectiveness of Canva teaching media based on Project-based Learning (PjbL) with the Science Technology Engineering and Mathematics (STEM) approach to increasing students' critical thinking. This study is development research with the ADDIE development model.  The ADDIE model has five stages, namely Analysis, Define, Design, Implement, and Evaluate. The data analysis used in this research is the RASCH model, Anacova test, and t-test. The results of the study can be concluded that the characteristics of Canva teaching media contain the syntax of the PjbL learning model, namely determining fundamental questions, planning product design, preparing a product manufacturing schedule, monitoring project progress, assessing results, and evaluating with detailed explanations integrated in conventional biotechnology science subjects. The feasibility of teaching materials is declared valid in terms of material, media, language, and learning with a validity of 0.89 and feasible to use in science learning to improve students' critical thinking skills. The results of the effectiveness test can be declared effective in improving students' critical thinking skills.
House Price Prediction Using Data Mining with Linear Regression and Neural Network Algorithms Palupi, Endang
Jurnal Riset Informatika Vol. 6 No. 1 (2023): December 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.756 KB) | DOI: 10.34288/jri.v6i1.262

Abstract

The need for housing in big cities is very high because most offices and economic centers are in big cities. Limited land and high demand cause house prices to rise. Many developers build housing on the outskirts of big cities with access to trains and toll roads to make transportation easier. Property developers compete by providing the best prices, various choices of house specifications, ease of the mortgage process, and attractive promotions such as no down payment. A house is a long-term investment whose price increases yearly, so proper analysis is needed to buy a place to live in. Several factors influence the price of a house, including location, land area, building area, building type, and so on. This research aims to create a house price prediction model using the Linear Regression Algorithm and Neural Network so that the results can be useful for property agents in predicting house sales or from the buyer's side in predicting house prices. The results of this research use the Linear Regression Algorithm RMSE 0.775, while the Neural Network Algorithm uses RMSE 0.645. From this research, modeling using the Linear Regression Algorithm has better results. Still, the Linear Regression Algorithm and Neural Network Algorithm have RMSE results that are close to accurate and have small errors.
Divorce Factor Classification Uses The C4.5 Algorithm Based On Particle Swarm Optimization Palupi, Endang
Jurnal Riset Informatika Vol. 6 No. 3 (2024): June 2024
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v6i3.307

Abstract

Cases of household divorce increased in the West Java area during the Covid-19 pandemic. The pandemic has increased personal relationships and interactions between family members, and some families are using this opportunity to strengthen their relationships. However, increased family interaction can also result in increased conflict, leading to divorce. The author classifies divorce factors that have increased during the pandemic using the C4.5 Algorithm based on Particle Swarm Optimization (PSO). The main factors for divorce are economic factors that have hit during the pandemic coupled with unstable mental conditions resulting in poor communication and continuous fighting. So that the husband/wife leaves one of the parties, infidelity, and adultery, then domestic violence and ending in divorce. The dataset was taken from the West Java BPS website, and the author split the data, namely 80% training data and 20% testing data, to avoid overfitting. Research results on the classification of divorce factors during the pandemic using the C4.5 algorithm based on particle swarm optimization are an accuracy value of 87.50% and an AUC (Area Under Curve) value of 0.807, which is included in the good classification category.
BAGAIMANA PENANGANAN ARSIP DI BAGIAN TATA USAHA KANTOR PUSAT PENDIDIKAN DAN PELATIHAN KEMENTERIAN RISET, TEKNOLOGI DAN PENDIDIKAN TINGGI Suminar, Ratna; Palupi, Endang
Jurnal Sekretari Universitas Pamulang Vol. 3 No. 2 (2016): Jurnal Sekretari
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/skr.v3i2.585

Abstract

Abstrak Arsip merupakan kumpulan warkat yang disimpan secara teratur dan terencana, karena memiliki nilai suatu kegunaan agar setiap kali diperlukan dapat ditemukan kembali. Jadi sebagai intinya arsip adalah himpunan lembaran-lembaran tulisan yang merupakan salah satu bukti/aset organisasi dan individu dalam mempertahankan hak dan kewenangan terhadap sesuatu yang menjadi hak milik. Keberadaan arsip bagi organisasi/perusahaan dapat dijadikan sebagai tulang punggung manajemen organisasi, sedangkan bagi individu/masyarakat keberadaan arsip dapat juga menjadi simbol jati diri seseorang.  Untuk mempermudah mendapatkan arsip, dalam penyimpanannya menggunakan kode-kode khusus dan dikembangkan oleh masing-masing yang berkepentingan. Pengarsipan juga dikelompokkan sesuai kepentingan dan waktu kebergunaan/keterpakaian. Pemberian kode/identitas kelompok arsip yang kurang jelas bahkan tidak ada, akan mendatangkan permasalahan dalam mendapatkan arsip yang dikehendaki dalam waktu relative singkat. Peminjaman/pengeluaran arsip dari tempatnya tanpa dicatat, akan mendatangkan kesulitan untuk mengembalikan/mendapatkan/menempatkan kembali arsip-arsip tersebut. Kata kunci: Penanganan arsip dapat mempertahankan hak, kewenangan dan kepemilikan. 
Co-Authors Artanti Puspita Sari Bhisma Murti Bowo Sugiharto Bukman Lian, Bukman Harsono Salimo PUGUH KARYANTO Suminar, Ratna Titi Rapini, Titi Wahyuningsih, Dwi Warni