Dinasti Health and Pharmacy Science
Dinasti Health and Pharmacy Science (DHPS) focuses on the health and pharmaceutical sciences including the preventive, promotive, curative and rehabilitative domains which publishes "original articles" and "review articles". The scientific scope of the DHPS Journal includes: Public health Health Education and Promotion Health Management Disease Prevention Midwifery and Child Care Health and Social Behavior Health Traditional (HATTRA) Nutrition (Clinical Nutrition and Community Nutrition) Food safety Food security Cleanliness Food Technology related to Disease Prevention and Rehabilitation Environmental Health Pharmaceutical Technology, Pharmacology and Toxicology, Pharmaceutical Chemistry, drug discovery, Pharmacokinetics, Pharmaceutical Biology, Herbal medicines, Pharmaceutical sciences, Pharmaceutical Microbiology and Biotechnology, Community and Clinical Pharmacy, Complementary and Alternative Medicine (CAAM), Pharmaceutical Treatment.
Articles
131 Documents
<![CDATA[The Influence of Resilience And Social Support on Post-Traumatic Stress Disorder (Ptsd) in Early Adults ]]>
<![CDATA[Sheila Rahmi Syafitri]]>;
<![CDATA[Rilla Sovitriana]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 1 No. 3 (2024): Dinasti Health and Pharmacy Science (January 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v1i3.1628
<![CDATA[Many unpleasant events and attached to a person cause trauma for those who experience them. Traumatic experiences in early adulthood can greatly affect a person's personal, emotional, and social development. These traumatic events can be said to be PostTraumatic Stress Disorder (PTSD), which is a mental disorder experienced by individuals who experience traumatic events, which lasts for months or even years after exposure to traumatic events. Resilience and social support are considered to influence a person's vulnerability to PTSD. So, the aim of this research is to see how resilience and social support influence PostTraumatic Stress Disorder (PTSD) in young adults in Jabodetabek. This research is a quantitative study with a sample of 116 early adult respondents in Jabodetabek who had experienced a traumatic event with an age range of 20-40 years. The research results show that resilience and social support have a significant influence on Post-Traumatic Stress Disorder (PTSD) in early adulthood (p<0.001; R2 = 0.406). So it can be concluded that there is an influence of resilience and social support on Post-Traumatic Stress Disorder (PTSD) in early adulthood in Jabodetabek.]]>
<![CDATA[The Effect of Emotional Dysregulation, Loneliness and Self-Compassion on Nonsuicidal Self-Injury Behavior on Overseas Students ]]>
<![CDATA[Meutia Askina]]>;
<![CDATA[Selviana Selviana]]>;
<![CDATA[Rilla Sovitriana]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 1 No. 3 (2024): Dinasti Health and Pharmacy Science (January 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v1i3.1629
<![CDATA[News about the phenomenon of self-harm or nonsuicidal self-injury has been rampant in recent years. Nonsuicidal self-injury is a behavior that is often done to overcome negative or difficult feelings. Nonsuicidal self-injury is influenced by several factors including emotional dysregulation, loneliness and self-compassion. This study aims to determine whether there is an influence of loneliness and self-compassion on nonsuicidal self-injury behavior on overseas students in Java and Sumatra. The measuring instruments used are the Indonesian version of the Self-Harm Inventory (SHI), Difficulties with Emotion Regulation Scale (DERS16), De Jong Gierverld Loneliness Scale (DJGLS), Self-Compassion Scale Short Form (SCSSF), with analysis using JASP 0.18.3.0 for windows. The results shows that there is a significant influence between emotional dysregulation, loneliness and self-compassion on nonsuicidal self-injury behavior on overseas students in Java and Sumatra. These findings provide scientific evidence that emotional dysregulation, loneliness and self-compassion can be important factors influencing nonsuicidal self-injury behavior.]]>
<![CDATA[Pengaruh Transformasi Digital, Budaya Organisasi dan Lingkungan Kerja terhadap Strategi Pemasaran ]]>
<![CDATA[Natalie Zefanya Simorangkir]]>;
<![CDATA[Hapzi Ali]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 1 No. 4 (2024): Dinasti Health and Pharmacy Science (April 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v1i4.1756
<![CDATA[Dampak Transformasi Digital, Budaya Perusahaan, dan Lingkungan Kerja terhadap Strategi Pemasaran merupakan sebuah artikel ilmiah yang mengkaji literatur dalam domain ilmu tersebut. Artikel ini bertujuan untuk mengembangkan teori mengenai dampak antara variable yang akan diterapkan dalam penelitian berikutnya. Objek riset Pustaka daring seperti Google Scholar, Mendeley, dan platform akademik lainnya. Metode riset menggunakan research library yang berasal dari e-book dan e-journal terbuka. Analisis deskriftif kualitatif. Hasil dari artikel ini adalah: 1) Strategi Pemasaran dipengaruhi oleh Transformasi Digital; 2) Strategi Pemasaran dipengaruhi oleh Budaya Organisasi; dan 3) Strategi Pemasaran dipengaruhi oelh Lingkungan Kerja.]]>
<![CDATA[Determinasi Keunggulan Kompetitif: Analisis Pengambilan Keputusan Strategik, Manajemen Sumber Daya Manusia dan Pemanfaatan Sistem Informasi ]]>
<![CDATA[Ulyah Agistia Putri]]>;
<![CDATA[Hapzi Ali]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 1 No. 4 (2024): Dinasti Health and Pharmacy Science (April 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v1i4.1762
<![CDATA[Determinasi Keunggulan Kompetitif: Analisis Pengambilan Keputusan Strategik, Manajemen Sumber Daya Manusia dan Pemanfaatan Sistem Informasi Menentukan Keunggulan Kompetitif: Analisis Strategik Pengambilan Keputusan, Manajemen Sumber Daya Manusia, dan Pemanfaatan Sistem Informasi Artikel ini merupakan sebuah kajian ilmiah yang mengangkat tema dalam ranah Manajemen Strategik. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang menjadi penentu keunggulan bersaing dengan fokus pada tiga elemen penting: pengambilan keputusan strategis, manajemen sumber daya manusia (SDM), dan pemanfaatan sistem informasi. Objek penelitian ini adalah perusahaan-perusahaan manufaktur skala menengah di Indonesia yang tengah menghadapi tantangan dari transformasi digital dan tingginya intensitas persaingan global. Dalam kajian ini, pendekatan kuantitatif diterapkan, menggunakan metode survei dengan menyebarkan kuesioner kepada manajer dan kepala unit yang relevan. Data yang terkumpul dianalisis melalui teknik regresi berganda untuk mengukur pengaruh masing-masing variabel terhadap keunggulan bersaing perusahaan. Hasil dari penelitian ini menunjukkan bahwa: 1) Pengambilan Keputusan Strategik memiliki pengaruh terhadap Keunggulan Kompetitif; 2) Manajemen Sumber Daya Manusia turut berkontribusi terhadap Keunggulan Kompetitif; dan 3) Pemanfaatan Sistem Informasi juga berpengaruh positif terhadap Keunggulan Kompetitif.]]>
<![CDATA[Pengaruh Kebijakan Lingkungan, Inovasi Teknologi dan Kualitas Layanan terhadap Strategi Dinamika Pasar ]]>
<![CDATA[Pandu Nugroho]]>;
<![CDATA[Hapzi Ali]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 1 No. 3 (2024): Dinasti Health and Pharmacy Science (January 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v1i3.1765
<![CDATA[Pengaruh Kebijakan Lingkungan, Inovasi Teknologi dan Kualitas Layanan terhadap Strategi Dinamika Pasar adalah artikel ilmiah studi pustaka dalam ruang lingkup bidang ilmu manajemen stratejik. Tujuan artikel ini membangun hipotesis pengaruh antar variabel yang akan digunakan pada riset selanjutnya. Objek riset pada pustaka online, Google Scholar, Mendeley dan media online akademik lainnya. Metode riset dengan library risearch bersumber dari e-book dan open access e-journal. Analisis deskriftif kualitatif. Hasil artikel ini: 1) Kebijakan Lingkungan berpengaruh terhadap Strategi Dinamika Pasar; 2) Inovasi Teknologi berpengaruh terhadap Strategi Dinamika Pasar; dan 3) Kualitas Layanan berpengaruh terhadap Strategi Dinamika Pasar. ]]>
<![CDATA[Peran Disiplin Kerja dan Kompensasi dalam meningkatkan Kinerja Karyawan (Literature Review Manajemen Sumber Daya Manusia) ]]>
<![CDATA[Siska Aprelyani]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 2 No. 1 (2024): Dinasti Health and Pharmacy Science (July 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v2i1.1797
<![CDATA[Peranan Disiplin kerja dan Kompensasi untuk kinerja karyawan. Tujuan untuk menganalisa apakah disiplin kerja dan kompensasi dapat berperan meningkatkan kinerja pada karyawan. Metode penulisan artikel ilmiah ini adalah dengan menggunakan metode library research, yang bersumber dari media online seperti Google Scholar, Mendeley, dan media online lainnya. Hasil dari penelitian ini adalah : 1) Disiplin Kerja berperan terhadap Kinerja Karyawan; 2) Kompensasi berperan terhadap Kinerja Karyawan. Selain dari 2 variabel exogen ini yang mempengaruhi variabel endogen Kinerja Karyawan masih banyak faktor lain diantaranya adalah lingkungan kerja, kepuasan kerja, motivasi.]]>
<![CDATA[Determinasi Kepuasan Kerja: Motivasi Kerja, dan Lingkungan Kerja (Literature Review Manajemen Sumber Daya Manusia) ]]>
<![CDATA[Siska Aprelyani]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 2 No. 1 (2024): Dinasti Health and Pharmacy Science (July 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v2i1.1798
<![CDATA[Literature Review Determinasi Kepuasan Kerja : Motivasi Kerja dan Lingkungan Kerja adalah artikel ilmiah. Tujuan untuk menganalisa apakah motivasi kerja dan lingkungan kerja dapat berpengaruh terhadap kepuasan kerja karyawan. Metode pendekatan kualitatif dengan metode studi literatur (literature review) untuk mengeksplorasi dan menganalisis hubungan antara motivasi kerja, lingkungan kerja dan kepuasan kerja. Hasil dari penelitian ini adalah : 1) Motivasi Kerja berpengaruh terhadap Kepuasan Kerja; 2) Lingkungan Kerja berpengaruh terhadap Kepuasan Kerja. Selain dari 2 variabel exogen ini yang mempengaruhi variabel endogen Kepuasan Kerja masih banyak faktor lain diantaranya adalah beban kerja, disiplin kerja, kepemimpinan.]]>
<![CDATA[The Role of Nutrition Education and Access to Digital Information for Working Parents in the Success of Providing Complementary Foods in Indonesia ]]>
<![CDATA[Salsabila Dwi Fitri]]>;
<![CDATA[Yorasaki Ananta]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 2 No. 1 (2024): Dinasti Health and Pharmacy Science (July 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v2i1.1804
<![CDATA[Giving Food Complementary breast milk (MPASI) is crucial in growth and development of a child. However, in working parents’ context, success?? Providing complementary food often faces problems various challenges, especially limitations time and access information. This article aiming For to study role education nutrition and access digital information on success giving complementary food to parents working in Indonesia. The method used is study library with approach Systematic Literature Review (SLR), with source article from Google Scholar, Mendeley, and journals academic relevant others. Study results show that education nutrition plays an important role in increasing parental knowledge and skills? in preparing appropriate MPASI standard. While accessing digital information becomes tool help strategic for parents? Work in to obtain information in a way flexible and efficient. This article formulates two main hypotheses for study next: (1) education nutrition plays a positive role to success provision of complementary foods, and (2) access to digital information also has a positive role to success of MPASI. Findings This emphasize importance integration between educational strategies and utilization technology information in intervention health child age early in Indonesia.]]>
<![CDATA[Automated Cancer Detection and Classification ]]>
<![CDATA[Arsya Sinatria Artha]]>;
<![CDATA[Andino Maseleno]]>;
<![CDATA[Aa Hubur]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 2 No. 2 (2024): Dinasti Health and Pharmacy Science (October 2024) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v2i2.1811
<![CDATA[Detection of cancer is very difficult and need more concern in the field of medical. This paper studies the various causes, types, symptoms of cancer. The main objective of this paper is to design an efficient and effective approach to detect the cancer using image processing. The research proposed an improved hybrid approach for detection and segmentation. The research work includes improvement of microscopic image, then segmentation of cells, extract the features of cancer and then at the final stage it described the classification step. After using different approaches and review several previous approaches this technique used an efficient and appropriate method to design a proposed framework.]]>
<![CDATA[Diseases Diagnosis using Machine Learning ]]>
<![CDATA[Arsya Sinatria Artha]]>;
<![CDATA[Andino Maseleno]]>;
<![CDATA[Aa Hubur]]>
<![CDATA[ Dinasti Health and Pharmacy Science Vol. 2 No. 3 (2025): Dinasti Health and Pharmacy Science (January 2025) ]]>
Publisher : <![CDATA[Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI) ]]>
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DOI: 10.38035/dhps.v2i3.1812
<![CDATA[Method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build.]]>
