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All Journal Elektrika Jurnal Sosial dan Teknologi
Kurniawan Nugroho, Andi
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Humanities Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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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 Edy Susilo, Edy Endang Jayati, Ari Setyati Budiningrum, Diah Sri Heranurweni Xaverius Kaparang, Stevanus