Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal Jurnal Agregasi Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Adpebi Science Series Green Engineering: Journal of Engineering and Applied Science
Deni Nurdiansyah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
PERANCAGAN APLIKASI DASHBOARD DATA MASYARAKAT MISKIN DI DESA MACANG SAKTI KABUPATEN MUSI BANYUASIN Deni Nurdiansyah; Joni Karman; Muhammad Nur Alamsyah
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 3 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i3.502

Abstract

Often the data from the field is not synchronized with the data processed by the system because there are no applications that can manage data for the poor so that inaccurate results are obtained. At this time making reports on data for the poor are still using Microsoft Word. The report was submitted to the Head of Macang Sakti Village, Musi Banyuasin Regency. This can result in the recipient of the report being less effective. If an existing report disappears somewhere, it can result in the village government being obliged to make another report that has disappeared. The reporting system by implementing a mobile web-based dashboard application appears a way out for current reporting problems. This application is made using php and database. Become a medium for the village government in reporting data on the poor to the Village Head of Macang Sakti providing information about data on the poor in Macang Sakti Village.
PENGARUH KUALITAS SUMBER DAYA MANUSIA, PEMANFAATAN TEKNOLOGI INFORMASI DAN SISTEM PENGENDALIAN INTERNAL TERHADAP KUALITAS LAPORAN KINERJA INSTANSI PEMERINTAH Deni Nurdiansyah; Umi Narimawati; M Yani Syafei
Jurnal Agregasi Vol 11 No 1 (2023)
Publisher : Prodi Ilmu Pemerintahan FISIP Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/agregasi.v11i1.9552

Abstract

Penelitian ini bertujuan untuk menguji pengaruh kualitas sumber daya manusia, pemanfaatan teknologi informasi dan sistem pengendalian internal terhadap kualitas laporan kinerja pada instansi pemerintah pusat Direktorat Jenderal Perhubungan Darat, Kementerian Perhubungan. Survey dilakukan kepada 32 satuan kerja di lingkungan Direktorat Jenderal Perhubungan Darat. Metode penelitian ini merupakan penelitian yang bersifat kuantitatif. Pengumpulan data melalui penyebaran kuisioner kepada 60 orang operator inputing E-Sakip Reviu. Pengukuran variablenya dengan menggunakan skala Likert. Teknik analisis data yang digunakan dalam penelitian ini adalah metode Smart PLS (Partial Least Square). Hasil penelitian menunjukan bahwa kualitas sumber daya manusia berpengaruh terhadap kualitas laporan kinerja, selanjutnya pemanfaatan teknologi informasi juga berpengaruh terhadap kualitas laporan kinerja dan sistem pengendalian internal berpengaruh terhadap kualitas laporan kinerja. Dapat disimpulkan bahwa, semakin tinggi kualitas sumber daya manusia, pemanfaatan teknologi informasi dan sistem pengendalian internal maka kualitas laporan kinerja akan semakin baik sehingga mampu dalam membuat keputusan yang tepat dan efektif, serta terhindar dari kesalahan dalam mengelola data kinerja Satuan Kerja di lingkungan Direktorat Jenderal Perhubungan Darat.
Automatic Cat Feeding And Monitoring System in Hiro Catshop Shop Based on The Internet of Things Khairani Daulay, Nelly; Novi Lestari; Armanto; Deni Nurdiansyah; Rahmad Dani; Alfia Tiara Permatasari
Adpebi Science Series 2022: 1st AICMEST 2022
Publisher : ADPEBI

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

Abstract

Cat feeding is still done manually without a system and there is no monitoring system for cat food leftovers that can be accessed through the website, Build a Monitoring System and Automatic Cat Feeder at Hiro CatShop Based on the Internet Of Things (IoT) that can monitor and provide food cat automatically and can be accessed remotely via the Website. The method that the author uses in conducting this research is a qualitative research method. Qualitative research methods seek an understanding of meaning, understanding, reality, events, or life by being directly and/or indirectly involved in the environment under study. cat in place, DHT11 sensor as a temperature detector in the room around the cat food place, servo motor as a means of opening the lid for cat food that comes out according to a predetermined schedule, NodeMCU to read and send sensor data into the database With an automatic cat feeding monitoring system this will make it easier for shop owners or shop employees to monitor cat feeding through the website, shop owners don't need to be afraid anymore if it's too late to feed the cat and waste too much time to come to the cat feeding place and also don't need to be afraid of losing n data caused by lost records (human error).
Smart Waste-to-Energy Conversion Systems Using AI-Driven Process Optimization for Urban Sustainability Joni Karman; Ahmad Sobri; Deni Nurdiansyah
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 2 (2024): April: Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i2.243

Abstract

This study explores the integration of AI-driven process optimization in Waste-to-Energy (WtE) systems to enhance urban sustainability. The research focuses on designing a gasification-based WtE system, incorporating AI predictive control to optimize energy conversion processes. The AI system adjusts operational parameters in real-time, improving energy conversion efficiency by 25% and reducing carbon emissions by 40%. Additionally, the system's waste-to-energy conversion rate is projected to increase by 20%, and operational costs are expected to decrease by 30%. Data collection and analysis are carried out using advanced sensors to monitor key parameters such as temperature, gas composition, and energy output, which are then processed by machine learning algorithms for predictive analysis. The results show that the AI optimization significantly enhances system performance, offering a sustainable solution for urban waste management. The study highlights the technical and operational challenges of integrating AI into existing WtE systems, including the need for infrastructure upgrades and scalability considerations. It also discusses the socio-economic impacts, including job creation, reduced energy costs, and improved public health. The findings demonstrate the potential of AI-based WtE systems in reducing waste, generating clean energy, and mitigating climate change, positioning them as a viable solution for sustainable urban development.
Co-Authors Ahmad Sobri Alfia Tiara Permatasari Armanto Joni Karman Joni Karman Khairani Daulay, Nelly M Yani Syafei Muhammad Nur Alamsyah Novi Lestari Rahmad Dani Umi Narimawati