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Dampak Teknologi Digital dalam Masyarakat Selama Pandemi Covid-19 Hery Lilik Sudarmanto; Arthur Daniel Limantara; Fauzie Nursandah; Bambang Subiyanto; Sri Wiwoho Mudjanarko
CAHAYAtech Vol 10, No 1 (2021): MARET 2021
Publisher : STT Cahaya Surya Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47047/ct.v10i1.116

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Model Survei Cerdas Lalu Lintas Harian Rata-Rata (ADT) untuk Perencanaan dan Pemantauan Perkerasan Arthur Daniel Limantara; Tjahjaning Tingastuti Surjosuseno; Bambang Subiyanto; Fauzie Nursandah; Hery Lilik Sudarmanto; Sri Wiwoho Mudjanarko
CAHAYAtech Vol 9, No 1 (2020): MARET 2020
Publisher : STT Cahaya Surya Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47047/ct.v9i1.70

Abstract

Survey volume of daily traffic for the planning and supervision of pavement road manually requires effort, time and cost is not cheap. Besides that, accuracy, and speed in getting the data are not timely, especially as real-time data. This study aims to get an intelligent survey model that will function to get daily traffic volume data automatically and in real-time, as well as its processing. The methodology used is to model the survey process by utilizing smart devices, microcontrollers, sensors, and the internet of things, as well as cloud and client-server programming. The survey process model can be divided into two parts, namely part one whose task is to collect vehicle data and part two to collect the axle load of each vehicle, then the data will be sent through an access point to the cloud, cloud data is taken from the access point at the data processing center on the server computer to done processing. The model generating information volume data traffic at speeds up to 67.4 Mbps, to accurately the data 98%, and the real-time and the results of data processing can be used as surveillance of pavement age.
Pemodelan Evaluasi Konsumsi Energi Komputer pada Tahap Pengembangan Perangkat Lunak Fauzie Nursandah; Bambang Subiyanto; Arthur Daniel Limantara; Hery Lilik Sudarmanto; Sri Wiwoho Mudjanarko
CAHAYAtech Vol 10, No 1 (2021): MARET 2021
Publisher : STT Cahaya Surya Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47047/ct.v10i1.117

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Informasi Kondisi Perkerasan dengan Sistem Pemetaan GIS untuk Manajemen Pemeliharaan di Indonesia Nawir Rasidi; Arthur Daniel Limantara; Hery Lilik Sudarmanto; Fauzie Nursandah; Sri Wiwoho Mudjanarko
CAHAYAtech Vol 9, No 2 (2020): SEPTEMBER 2020
Publisher : STT Cahaya Surya Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47047/ct.v9i2.109

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Analisis Sistem Transportasi Cerdas Berbasis Big Data dan Cloud Computing Sri Wiwoho Mudjanarko; Arthur Daniel Limantara; Fauzie Nursandah; Bambang Subiyanto; Hery Lilik Sudarmanto
CAHAYAtech Vol 9, No 2 (2020): SEPTEMBER 2020
Publisher : STT Cahaya Surya Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47047/ct.v9i2.110

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ANALISIS PENGUASAAN TEKNOLOGI DALAM KESIAPAN KOTA KEDIRI MENUJU KOTA CERDAS (SMART CITY) Arthur Daniel LIMANTARA; Elkana Lewi SANTOSO; Subagyo Subagyo; Bambang SUBIYANTO; Hery Lilik SUDARMANTO; Sri Wiwoho MUDJANARKO
Prosiding Seminar Nasional Manajemen, Ekonomi dan Akuntansi Vol. 5 No. 1 (2020): PROSIDING SEMINAR NASIONAL MANAJEMEN, EKONOMI DAN AKUNTANSI 2020
Publisher : FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS NUSANTARA PGRI KEDIRI

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Abstract

The demand for a city or environment that is comfortable, safe, healthy, easy, and prosperous is an indicator of a city that is competitive, and Kediri is no exception. Kediri City has positioned itself at level 3 smart city (smart city) and strives to reach level 5, to get to that level it is necessary to conduct an analysis of technical mastery of the three main players in smart city development in adopting technology in the six dimensions of smart city indicators. The methodology used is the Analytic Hierarchy Process approach to obtain the level of importance of the six smart city indicators by taking data based on interviews and questionnaires to the three main actors of smart city development, then analyzing using the techno-economic method to obtain the level of readiness in carrying out activities towards a smart city. The result is that the highest to the lowest level of readiness is Technoware of 0.957; Orgaware 0.874; Infoware 0.778; and Humanware 0.603. The conclusion is that there is a need for more intensive and targeted socialization and training to the public, business actors, and bureaucracy to better understand the implementation of smart city development so that it is more focused on achieving smart city.