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All Journal Elektrika Jurnal Sosial dan Teknologi Journal Of World Science
Kurniawan Nugroho, Andi
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Advancements In Stem Cell Therapy For Pulmonary Fibrosis: A Comprehensive Review With Vinski Protocol Vinski, Deby Susanti Pada Vinski; Quintosa, Jaime Rodriguez; Ibnu Hajar, Andi; Vinski, Natasha Cinta; Kurniawan Nugroho, Andi
Journal of World Science Vol. 4 No. 9 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i9.1503

Abstract

Pulmonary fibrosis (PF) is a progressive interstitial lung disease characterized by scarring of lung tissue and limited treatment options, resulting in high morbidity and poor prognosis. Mesenchymal stem cell (MSC) therapy has emerged as a promising regenerative intervention due to its potential for immunomodulation, epithelial repair, and anti-fibrotic effects. This review synthesizes current clinical and observational studies involving human participants, highlighting the safety and preliminary therapeutic benefits of MSCs in managing PF and related pulmonary conditions. Several clinical trials involving patients with idiopathic pulmonary fibrosis and COVID-19-associated lung injury demonstrated favorable safety profiles and trends toward improved pulmonary outcomes. Additionally, observational findings from the application of the Vinski Protocol at Celltech Stem Cell Centre provide further support for the regenerative capabilities of MSCs. While current human studies are encouraging, further large-scale and long-term clinical trials are essential to validate the efficacy of MSC therapy and establish standardized treatment protocols for PF.
Application of Mesenchymal Stem Cell for Degenerative Disc Disease Susanti Pada Vinski, Deby; Siagian, Carles; Kurniawan Nugroho, Andi; Hardjo, Marhaen; Cinta Vinski, Natasha
Journal of World Science Vol. 3 No. 3 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i3.562

Abstract

During a person's life, the spine will experience continuous changes in response to physiological axial loads. Increasing age is also a cause of pathological degenerative changes. Degenerative disease of the spine is a condition that many people complain about and requires appropriate and effective treatment. Degenerative disc disease is the most common cause of low back pain and disability worldwide, involving people of all ages and socioeconomic statuses. This study aims to explain and analyze the effectiveness of Mesenchymal Stem Cell therapy in treating Degenerative Disc Disease. The research method used is a case study where  Mesenchymal Stem Cell therapy offers the potential to modify the natural recovery of Degenerative Disc Disease using stem cell-based technology. Case studies were carried out at the Vinski Regenerative Center clinic, on several patients. And the results are that stem cells have the potential to be an ideal non-surgical treatment for low back pain and degenerative disc disease, because of their ability to differentiate into various connective tissue cells and their ability to restore damaged tissue and the results of case studies have proven to tend to improve the condition. However, long-term clinical studies are still needed, specifically focusing on the safety and efficacy of stem cell therapy in degenerative disc disease.
Quantum Stem Cell Therapy for Recovery of Liver Disease Susanti Vinski, Deby; Schroeter, CA; Hardjo, Marhaen; Kurniawan Nugroho, Andi; Cinta Vinski, Natasha
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.609

Abstract

Chronic liver diseases pose a significant global health challenge, necessitating the development of novel therapeutic strategies for liver regeneration and functional recovery. Mesenchymal stem cells (MSCs) derived from umbilical cord blood have emerged as promising candidates for liver regeneration due to their multipotent differentiation capacity, immunomodulatory properties, and paracrine effects. This study aims to investigate the efficacy, safety, and underlying mechanisms of stem cell therapy in the recovery and regeneration of liver tissue in patients with liver disease. The research method used is a case study where Mesenchymal Stem Cell therapy offers the potential to modify the natural recovery of Liver function using stem cell-based technology. Case studies were carried out on several Vinski Regenerative Center clinic patients. This review explores the therapeutic potential of umbilical cord blood-derived MSCs in promoting the recovery of liver function in preclinical and clinical settings. We discuss the mechanisms by which MSCs facilitate liver regeneration, including their ability to differentiate into hepatocyte-like cells, modulate immune responses, and secrete trophic factors that promote tissue repair. Preclinical studies demonstrate the efficacy of umbilical cord blood-derived MSCs in ameliorating liver injury, reducing fibrosis, and improving overall liver function. Challenges such as optimal dosing, timing of administration, and long-term monitoring remain to be addressed. Nevertheless, MSCs from umbilical cord blood represent a promising therapeutic approach for liver regeneration and hold great potential for improving outcomes in patients with liver disease.
Peran Technopreneur dalam Pengembangan Usaha Digital di Indonesia Xaverius Kaparang, Stevanus; Kurniawan Nugroho, Andi; Endang Jayati, Ari
Jurnal Sosial Teknologi Vol. 4 No. 8 (2024): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v4i8.1338

Abstract

Di era digital saat ini, peran technopreneur semakin krusial dalam mendorong inovasi dan pertumbuhan ekonomi di Indonesia, terutama dalam menghadapi persaingan global yang semakin ketat. Usaha digital menjadi salah satu pilar utama dalam perkembangan ekonomi nasional, namun tantangan seperti kurangnya infrastruktur teknologi dan akses modal masih menjadi hambatan bagi technopreneur untuk mengoptimalkan potensi mereka. Penelitian ini bertujuan untuk mengkaji bagaimana technopreneur berkontribusi dalam menciptakan peluang usaha baru, meningkatkan daya saing, serta mengatasi tantangan yang dihadapi oleh industri digital di Indonesia. Penelitian ini menggunakan desain kuantitatif, dengan pengumpulan data melalui teknik purposive sampling terhadap 100 technopreneur (pelaku bisnis yang memanfaatkan teknologi) dengan menyebarkan kuesioner yang berisi sepuluh pertanyaan mengenai peran technopreneur dalam pengembangan bisnis digital di Indonesia. Hasil penelitian menunjukkan Hasil penelitian menunjukkan bahwa technopreneur memainkan peran yang signifikan dalam transformasi digital. Kesimpulan penelitian ini adalah technopreneur memiliki peran penting dalam mendorong inovasi dan pertumbuhan ekonomi digital di Indonesia. Namun, diperlukan dukungan yang lebih baik dari pemerintah dan pemangku kepentingan lainnya untuk memfasilitasi technopreneur dalam mengembangkan potensi mereka secara optimal.  
RANCANG BANGUN AUTOMATIC RAIN RECORDING (ARR ) BERBASIS DEVELOPMENT BOARD MIKROAVR128 Kurniawan Nugroho, Andi; Susilo, Edy; Setyati Budiningrum, Diah
Elektrika Vol. 9 No. 1 (2017): April 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.43 KB) | DOI: 10.26623/elektrika.v9i1.1107

Abstract

 The right use of rain can provide many benefits. For this reason, mapping of rainfall areas is needed. This is intended to determine the level of disaster preparedness for each region. In mapping, a tool is needed to calculate the rainfall that falls. In the market there are only manual measuring devices, while rainfall gauges are not available which can measure automatically and directly but additional equipment is needed separately. In addition, the measurement results cannot be seen by the public. Therefore we need a tool that works automatically that can display measurement results directly and can be seen directly by the public. Thus the community can see and measure rainfall that falls. In this plan Automatic Rain Recording is used by using a proximity sensor placed on top of a measuring cup and the sensor is connected to the AVR128 Development Board as the control center to convert sensor data into ADC (Analog to Digital Converter) data. This tool is connected with a microSD with a capacity of 8Gbyte to store rainfall level data. AVR128 will store every 2 minutes with a total of 275,368 data and 382 days of storage capability.Keywords : rainfall, ARR, ADC, AVR128, mikroSD  
KLASIFIKASI POLA IMAGE PADA PASIEN TUMOR OTAK BERBASIS JARINGAN SYARAF TIRUAN ( STUDI KASUS PENANGANAN KURATIF PASIEN TUMOR OTAK ) Heranurweni, Sri; Destyningtias, Budiani; Kurniawan Nugroho, Andi
Elektrika Vol. 10 No. 2 (2018): Oktober 2018
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (733.053 KB) | DOI: 10.26623/elektrika.v10i2.1169

Abstract

 Nowadays medical science has developed rapidly, diagnostic and treatment techniques have provided life expectancy for patients. One way of examining brain tumor sufferers is radiological examination that needs to be done, including MRI with contrast. MRI brain images are useful for seeing tumors in the initial steps of diagnosis and are very good for classification, erosions / destruction lesions of the skull. Smoothing image processing, segmentation with otsu method and feature extraction are carried out to facilitate the training and testing process. This study, will apply texture analysis with the parameters contrast, correlation, energy, homogenity to distinguish the texture of brain tumor images and normal so as to produce a standard gold value based on existing texture characteristics. Training and testing of texture features using backpropagation method of artificial neural networks with variations in learning rate values so that it is expected to obtain a classification of the image conditions of patients with brain tumors. The data used are 29 brain images that produce classification accuracy of 96.55%.Keywords :   MRI images, brain tumors, textur, backprogation  
Co-Authors Budiani Destyningtias Carles Siagian, Carles Cinta Vinski, Natasha Edy Susilo, Edy Endang Jayati, Ari Hardjo, Marhaen Ibnu Hajar, Andi Quintosa, Jaime Rodriguez Schroeter, CA Setyati Budiningrum, Diah Sri Heranurweni Susanti Pada Vinski, Deby Susanti Vinski, Deby Vinski, Deby Susanti Pada Vinski Vinski, Natasha Cinta Xaverius Kaparang, Stevanus