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All Journal eProceedings of Engineering Technologia Journal
Andi Agus Salim
Telkom University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Pengembangan Aplikasi E-commerce Berbasis Website Menggunakan Content Management System (cms) Wordpress Pada Startup Hardcraft.id Andi Agus Salim; Soni Fajar Surya Gumilang; Muhammad Azani Hasibuan
eProceedings of Engineering Vol 5, No 2 (2018): Agustus 2018
Publisher : eProceedings of Engineering

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Abstract

EKRAF merupakan salah satu sektor yang diharapkan mampu menjadi kekuatan baru ekonomi nasional di masa mendatang, karena EKRAF sendiri menjadi salah satu faktor meningkatnya groos domestic product (GDP). EKRAF di Indonesia sendiri didominasi oleh 3 subsektor industri besar yaitu industri kuliner, industri fashion serta industri kerajinan. Ada beberapa tantangan yang dihadapi dalam proses perkembangan SDM, salah satunya adalah teknologi dan internet. Efektifitas dan persaingan global harus dihadapi dengan sebuah sistem jaringan kerja yang tepat dan efisien. Sementara itu kualitas sumber daya manusia Indonesia di bidang kerajinan masih rendah. Hal ini menyebabkan para pengrajin tersebut tidak mampu bersaing dengan pasar yang lebih baik. Penelitan ini bertujuan menyelesaikan masalah EKRAF Indonesia khususnya pada subsektor kriya. Salah satu masalah subsektor kriya di Indonesia adalah kesulitan pada penetrasi pasar modern yang dikarenakan minimnya pengetahuan pemasaran dan belum menerapkan teknologi informasi. HARDCRAFT sebagai jembatan atau penghubung para pelaku usaha EKRAF Indonesia dimanapun dan kapanpun. Website e-commerce HARDCRAFT diharapkan dapat membantu pengrajin lokal di desa yang berpotensi untuk dapat menjual hasil karyanya ke para peminat EKRAF seluruh Indonesia bersama startup HARDCRAFT. Kata kunci : EKRAF, website, e-commerce, pengrajin, desa, Hardcraft
Computer Vision Analysis for Traffic Monitoring and Road Safety in Smart City Concept Luki Ishwara; Hasbu Naim Syaddad; Andi Agus Salim; Bobi Kurniawan; Adam Mukharil Bachtiar; Ednawati Rainarli
Technologia Journal Vol. 3 No. 1 (2026): Technologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vk562576

Abstract

Rapid urban growth and rising traffic complexity require Smart City solutions that move beyond passive CCTV toward intelligent, real-time traffic management. This study examines how computer vision–based analytics contribute to road safety when integrated into an Intelligent Transportation System (ITS). A quantitative quasi-experimental design was applied across multiple intersections using a 12-month before–after window. Data were collected from video analytics (vehicle and pedestrian detection, tracking, violations, road conditions), adaptive signal logs, crash and injury records, near-miss indicators, and contextual variables such as weather and traffic volume. Analysis combined perception validation (mAP, tracking accuracy), time-series operational assessment, and Difference-in-Differences modeling to estimate safety impacts. Results show high perception reliability (mAP > 0.85) and significant operational improvements, including a 33% reduction in waiting time and 35% shorter queues. More importantly, red-light violations decreased by 39%, near-miss events by 45%, crash frequency by 42%, and severity index by 37%. The findings indicate a causal pathway from vision-based perception to adaptive control and enforcement, leading to measurable safety gains. The study concludes that computer vision serves as a safety governance instrument within Smart City ITS when detection outputs are tightly coupled with intervention mechanisms.   
Co-Authors Adam Mukharil Bachtiar Bobi Kurniawan, Bobi Ednawati Rainarli Luki Ishwara Muhammad Azani Hasibuan Soni Fajar Surya Gumilang Syaddad, Hasbu Naim