Plant Alarm Signal Selection Based on a Two-Layer Cause-Effect Model

Penelitian ini dilakukan dengan tujuan untuk menguji pengaruh rasio likuiditas (CR), rasio profitabilitas (NPM, ROA, ROE, EPS), rasio solvabilitas (DER) dan rasio pasar (PER) terhadap harga saham (Y) pada perusahaan yang berada pada indeks LQ45 di Bursa Efek Indonesia. Metode pengumpulan data dilakukan dengan menggunakan laporan keuangan anggota emiten LQ45 periode Januari 2014 yang selama 5 tahun eksis dari Februari 2009 sampai Januari 2014. Metode sampel yang digunakan adalah purpose sampling (sampling bersyarat). Adapun jumlah sampel yang terpilih memenuhi syarat sebanyak 21 emiten dari 45 emiten. Teknis analisis data menggunakan Eviews 7.1 yaitu dengan metode cross sectional weight dengan pendekatan fixed effect model. Hasil penelitian menunjukkan bahwa secara bersama-sama maupun secara parsial variabel CR, NPM, ROA, ROE, EPS, DER, dan PER memiliki pengaruh terhadap harga saham. Namun variabel yang berpengaruh signifikan terhadap harga saham adalah NPM dan PER. Maka para investor dapat menilai kinerja perusahaan dengan melihat dari rasio keuangan dan melakukan penilaian terhadap harga saham sehingga dengan mudah dapat menentukan saham yang baik sebelum berinvestasi di BEI.

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PENGARUH PERUBAHAN JUMLAH PENDUDUK TERHADAP KUALITAS AIR DI INDONESIA

Jurnal Litbang Provinsi Jawa Tengah ◽

10.36762/litbangjateng.v15i2.417 ◽

2017 ◽

Vol 15 (2) ◽

pp. 207-215

Author(s):

Nur Afiyah Maizunati ◽

Mohamad Zaenal Arifin

Keyword(s):

Water Quality ◽

Population Growth ◽

Water Quality Index ◽

Urban Areas ◽

Quality Index ◽

Growth Control ◽

Fixed Effect Model ◽

Negative Influence ◽

Effect Model ◽

The Social

Ongoing population growth and urbanization can cause pressure on water systems, especially in urban areas. Several previous studies have found evidence of an influence between population and water quality. However, the phenomenon in Indonesia is slightly different, because although population growth has decreased trend, but the acquisition of water quality index still fluctuate in several years. This study aims to determine the significance influence of population on water quality in Indonesia. Data analysis is done through regression of panel data of 33 provinces with fixed effect model, The results showed that the population has a negative influence on water quality in Indonesia. An increase on population by 1,000 people tends to lower the water quality index by an average of 1.13 points (cateris paribus). Population growth control becomes absolute and priority in Indonesia. However, these efforts need to be accompanied by continuous improvement of competence and welfare, so that the social awareness and economic capacity of each population are increased in order to achieve a better maintenance on the quality of the environment.

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Analisis Pengaruh Kepemilikan Blockholder, Kepemilikan Manajerial, Kepemilikan Institusional, dan Komite Audit terhadap Nilai Perusahaan

INDONESIAN JOURNAL OF ACCOUNTING AND GOVERNANCE ◽

10.36766/ijag.v2i1.10 ◽

2018 ◽

Vol 2 (1) ◽

pp. 96-121

Author(s):

Iwan Wirawardhana ◽

Meco Sitardja

Keyword(s):

Firm Value ◽

Audit Committee ◽

Stock Exchange ◽

Random Effect ◽

Random Effect Model ◽

Institutional Ownership ◽

Managerial Ownership ◽

Estimation Model ◽

Effect Model ◽

Positive Effect

The aim of this study is to analyse the effect of Blockholder Ownership, Managerial Ownership,Institutional Ownership, and Audit Committee towards Firm Value. The background of this research isthe agency theory and ownership theory. The population in this study are 46 property companies listedon the Indonesia Stock Exchange (IDX) for the period 2012-2016. By using purposive samplingtechnique, 35 companies are qualified as data samples. This research uses the random effect model asthe estimation model and multiple regression as the method of analysis. The results of this study showsthat Institutional Ownership has a positive effect on Firm Value. Meanwhile, Blockholder Ownership,Managerial Ownership, and Audit Committee have no effect on Firm Value. Moreover, the F-testimplies that the variables, blockholder ownership, managerial ownership, institutional ownership, andaudit committee, simultaneously influence firm value.

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Kinerja Keuangan Daerah dan Kesejahteraan Rakyat di Era Desentralisasi Fiskal (Studi Empiris Pada Kabupaten/Kota Provinsi Sulawesi Selatan TA 2008-2012) (Local Financial Performance and The Social Welfare on Districts and Municipals of South Sulawesi on 2008-2012: Panel Regression with Random Effect Model (REM))

SSRN Electronic Journal ◽

10.2139/ssrn.2834678 ◽

2016 ◽

Author(s):

Azwar Iskandar ◽

Achmat Subekan

Keyword(s):

Social Welfare ◽

Financial Performance ◽

Random Effect ◽

Random Effect Model ◽

Panel Regression ◽

South Sulawesi ◽

Effect Model ◽

The Social

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Vitamin D Receptor Gene Polymorphisms and the Risk of Metabolic Syndrome (MetS): A Meta-Analysis

Endocrine Metabolic & Immune Disorders - Drug Targets ◽

10.2174/1871530320666200805101302 ◽

2020 ◽

Vol 20 ◽

Author(s):

Hamidreza Totonchi ◽

Ramazan Rezaei ◽

Shokoofe Noori ◽

Negar Azarpira ◽

Pooneh Mokarram ◽

...

Keyword(s):

Metabolic Syndrome ◽

Vitamin D ◽

Vitamin D Receptor ◽

Protective Factor ◽

Meta Analysis ◽

Receptor Gene ◽

Fixed Effect Model ◽

Fixed Effect ◽

Vdr Gene ◽

Effect Model

Introduction: Several studies have assessed the association between the vitamin D receptor (VDR) polymorphism and risk of metabolic syndrome (MetS). However, the results were inconsistent and inconclusive. Therefore, we conducted a meta-analysis to clarify the exact association between the vitamin D receptor (VDR) polymorphisms and the risk of MetS. Methods: All accessible studies reporting the association between the FokI (rs2228570) or / and TaqI (rs731236) or/and BsmI (rs1544410) or/and ApaI (rs7975232 polymorphisms of the Vitamin D Receptor and susceptibility to MetS published prior to February 2019 were systematically searched in Web of Science, Scopus, and PubMed. After that, Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to evaluate the strength of the association in five genetic models. Results: A total of 9 articles based on four gene variations, and comprising 3348 participants with 1779 metabolic syndrome patients were included. The overall results suggested a significant association between BsmI (rs1544410) polymorphism and MetS susceptibility in recessive model (OR, 0.72, 95% CI, 0.55-0.95, fixed effect model), allelic model (OR, 0.83, 95% CI, 0.72-0.95, fixed effect model), and bb vs BB (OR, 0.65, 95% CI, 0.46-0.93, fixed effect). However, no significant association was identified between TaqI (rs731236) polymorphism, ApaI (rs7975232) polymorphism, and FokI (rs2228570) polymorphism and MetS. Conclusion: This meta-analysis suggested an association between the BsmI (rs1544410) polymorphism and MetS. Indeed, BsmI (rs1544410) acts as a protective factor in the MetS. As a result, the VDR gene could be regarded as a promising pharmacological and physiological target in prevention or treatment of the MetS.

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Examining the Temporal Dynamics of Anxiety and Depressive Symptoms During a Therapist-Supported, Smartphone-Based Intervention for Major Depression (Preprint)

10.2196/preprints.25280 ◽

2020 ◽

Author(s):

Santiago Allende ◽

Valerie Forman-Hoffman ◽

Philippe Goldin

Keyword(s):

Depressive Symptoms ◽

Temporal Relationship ◽

Temporal Dynamics ◽

Digital Health ◽

Quadratic Function ◽

Depression Symptoms ◽

Symptoms Of Depression ◽

Effect Model ◽

End Of Treatment ◽

Highly Correlated

UNSTRUCTURED Background: Anxiety and depression symptoms are highly correlated in adults with depression; however, little is known about their interaction and temporal dynamics of change during treatment. Thus, the primary aim of this study was to examine the temporal dynamics of anxiety and depressive symptoms during a 12-week therapist-supported, smartphone-delivered digital health intervention for symptoms of depression and anxiety, the Meru Health Program (MHP). Method: A total of 290 participants from the MHP were included in the present analyses (age Mean = 39.64, SD = 10.25 years; 79% female; 54% self-reported psychotropic medication use). A variance components model was used to examine whether (1) reporting greater anxiety during the current week relative to anxiety reported in other weeks would be associated with greater reporting of depressive symptoms during the current week, while a time-varying effect model was used to examine whether, (2) consistent with findings reported by Wright et al. (2014), the temporal relationship between anxiety and depressive symptoms during the intervention would be expressed as a quadratic function marked by a weak association at baseline, followed by an increase to a peak before demonstrating a negligible decrease until the end of treatment. Results: In support of hypothesis 1, we found that reporting greater anxiety symptoms during the current week relative to other weeks was associated with greater depressive symptoms during the current week. Contrary to hypothesis 2, the temporal relationship between anxiety and depressive symptoms evidenced a recurring pattern, with the association increasing during the initial weeks, decreasing during mid-treatment and sharply increasing toward the end of treatment. Conclusions: The present findings demonstrate that anxiety and depressive symptoms overlap and fluctuate in concert during a smartphone-based intervention for anxiety and depressive symptoms. The present findings may warrant more refined intervention strategies specifically tailored to co-occurring patterns of change in symptoms.

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