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SISTEM PENGISIAN TANDON AIR GUNA PENYIRAMAN TANAMAN SECARA OTOMATIS MELALUI SMS GATEWAY Santosa, Gatot
Jurnal Teknologi Technoscientia Vol 9, No 2 (2017): Vol 9 No 2 Februari 2017
Publisher : IST AKPRIND YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Agricultural sector is playing vital role in Indonesia economy, in which irrigation mechanism is of key concern. Water management have to do optimally, both of suitability of water distribution, supply water and saving water and electricity. These problems can be overcome by designing a water level system for irrigation the plants by using a microcontroller Arduino Uno R3 and SMS Gateway. The water level control system consists of a main control that uses microcontroller Arduino Uno R3 which will take the data sent by resitif sensors, temperature sensors and moisture soil sensors and then compare it with the correct values and the results will be sent via SMS using the GSM TC35i. As for output used of water pumps, solenoid valve and the value of the moistuse soil and temperature sensors. From the test results are analyzed it can be concluded that the test was obtained power supply circuit output value of 13.6V DC. Testing the voltage divider circuit is divided into 3 output is 12V DC for the driver circuit, 9V DC to arduino, and 5V DC for TC35i. In the water reservoir when the height of 6.5cm below the resistance ranges from 200 to 400Ω and its output voltage reaches 0.3V. Error data on the LM35 temperature sensor of 0.2265625. For moisture soil sensors every 1% increase in soil moisture, the output voltage of 0,313V. In the test results of sending and receiving SMS takes time under 10 seconds
Peningkatan Pemahaman Kecerdasan Buatan (AI) untuk Dakwah Bagi Remaja Masjid Kresen Bantul Hamzah, Amir; Joko Basuki, Untung; Santosa, Gatot
Jurnal Pengabdian kepada Masyarakat Radisi Vol 4 No 1 (2024): April
Publisher : Yayasan Kajian Riset dan Pengembangan RADISI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55266/pkmradisi.v4i1.385

Abstract

Today's millennial generation faces the challenge of information technology and artificial intelligence technology that is increasingly creative in creating its applications. Artificial intelligence applications, both text-based and video-based, have the opportunity to be used in supporting da'wah for the younger generation. Teenagers of Masjid Al Aman Kresen Bantul need an increased understanding of AI technology for the development of da'wah in the millennial era. To answer this need, the community service team from IST AKPRIND created a short training program on the use of AI-based applications to support da'wah for adolescents. The materials offered are a text-based application, ChatGPT and a video-based application, HeyGen. The ChatGPT application is used to find references for da'wah materials, while the HeyGen application is to package da'wah content to make it more interesting. The training was attended by all 25 members of the AL Aman mosque teenagers. Evaluation is done through questionnaires. The evaluation results showed that 87,4% of participants considered this training very useful to increase their knowledge.
OPTIMALISASI PENGADAAN MRI MELALUI TARGET KUNJUNGAN PASIEN DI ERA JAMINAN KESEHATAN NASIONAL Santosa, Gatot; Satoto, Bambang; Indrati, Rini; Susanto, Edy; Budiati, Tri Asih; Hariri, Ahmad
Jurnal Kesehatan Tambusai Vol. 5 No. 4 (2024): DESEMBER 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v5i4.34623

Abstract

Sektor kesehatan merupakan aspek fundamental dari kehidupan manusia, membutuhkan perhatian berkelanjutan dari pemerintah untuk meningkatkan kualitas layanan. Dalam layanan radiologi, khususnya Magnetic Resonance Imaging (MRI), upaya mengoptimalkan penggunaan sumber daya sangat penting karena biaya peralatan yang tinggi dan kompleksitas operasi. Studi ini mengembangkan formula komputasi yang dirancang untuk membantu kepala departemen radiologi dalam merencanakan dan menghitung target pemeriksaan MRI harian selama masa pakai peralatan. Faktor-faktor seperti jenis rumah sakit, biaya layanan, biaya operasional, dan lokasi regional dimasukkan ke dalam rumus. Penelitian ini menggunakan pendekatan metode campuran, menggabungkan survei pendahuluan dengan pengembangan dan validasi rumus komputasi. Validasi oleh pakar keuangan dan radiologi menunjukkan keandalan dan akurasi formula. Selain itu, pengujian skala besar yang melibatkan sepuluh pemangku kepentingan mengkonfirmasi fungsionalitas, keandalan, dan keramahan pengguna aplikasi. Hasil menunjukkan bahwa alat ini secara signifikan meningkatkan perencanaan dan manajemen operasional peralatan MRI, menawarkan solusi yang dapat disesuaikan dengan peraturan baru dan data waktu nyata. Aplikasi ini memberikan metode yang menjanjikan untuk mengoptimalkan penggunaan MRI di rumah sakit, terutama dalam konteks sistem Jaminan Kesehatan Nasional (JKN). Fleksibilitas dan kemudahan penggunaannya membuatnya berlaku untuk rumah sakit pemerintah dan swasta, memastikan pemanfaatan MRI dan manajemen keuangan yang efektif.
Peningkatan Pemahaman Kecerdasan Buatan (AI) untuk Dakwah Bagi Remaja Masjid Kresen Bantul Hamzah, Amir; Joko Basuki, Untung; Santosa, Gatot
Jurnal Pengabdian kepada Masyarakat Radisi Vol 4 No 1 (2024): April
Publisher : Yayasan Kajian Riset dan Pengembangan RADISI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55266/pkmradisi.v4i1.385

Abstract

Today's millennial generation faces the challenge of information technology and artificial intelligence technology that is increasingly creative in creating its applications. Artificial intelligence applications, both text-based and video-based, have the opportunity to be used in supporting da'wah for the younger generation. Teenagers of Masjid Al Aman Kresen Bantul need an increased understanding of AI technology for the development of da'wah in the millennial era. To answer this need, the community service team from IST AKPRIND created a short training program on the use of AI-based applications to support da'wah for adolescents. The materials offered are a text-based application, ChatGPT and a video-based application, HeyGen. The ChatGPT application is used to find references for da'wah materials, while the HeyGen application is to package da'wah content to make it more interesting. The training was attended by all 25 members of the AL Aman mosque teenagers. Evaluation is done through questionnaires. The evaluation results showed that 87,4% of participants considered this training very useful to increase their knowledge.
Optimizing MRI Examination Planning through a Computational Formula: A Mixed-Method Study of Radiology Management in Indonesian Hospitals Santosa, Gatot; Satoto, Bambang; Indrati, Rini; Susanto, Edy; Asih Budiati, Tri; Hariri, Ahmad
Journal of Multidisciplinary Sustainability Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v1i5.1335

Abstract

Background. The healthcare sector is a fundamental aspect of human life, requiring continuous attention from governments to improve service quality. In radiology services, particularly Magnetic Resonance Imaging (MRI), optimizing resource use is crucial due to high equipment costs and the complexity of operations. Purpose. This study develops a computational formula designed to assist radiology department heads in planning and calculating daily MRI examination targets during the equipment's lifespan. Factors such as hospital type, service fees, operational costs, and regional location are incorporated into the formula. Method. The research employs a mixed-method approach, combining preliminary surveys with the development and validation of the computational formula. Validation by financial and radiology experts demonstrated the formula's reliability and accuracy. Additionally, large-scale testing involving ten stakeholders confirmed the application's functionality, reliability, and user-friendliness. Results. The Results show that this tool significantly improves the planning and operational management of MRI equipment, offering a solution that is adaptable to new regulations and real-time data. Conclusion. This application provides a promising method for optimizing MRI use in hospitals, particularly within the context of the National Health Insurance (JKN) system. Its flexibility and ease of use make it applicable for both government and private hospitals, ensuring effective MRI utilization and financial management.