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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JPM (Jurnal Pemberdayaan Masyarakat) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENGABDI SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JISICOM (Journal of Information System, Infomatics and Computing) JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Journal of Soft Computing Exploration Jurnal Pengabdian Masyarakat Indonesia Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Paradigma Insand Comtech : Information Science and Computer Technology Journal Journal Of Artificial Intelligence And Software Engineering
Hammad, Rifqi
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Sistemasi: Jurnal Sistem Informasi

 1 
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Zulfikri, Muhammad; Kusuma, Wirajaya; Hadi, Sirojul; Husain, Husain; Hammad, Rifqi; Mardedi, Lalu Zazuli Azhar
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.3921

Abstract

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements.
Using a Partition System to Improve the Performance of the Apriori Algorithm in Speeding Up Itemset Frequency Search Process Syahrir, Moch; Hammad, Rifqi; Abd. Latif, Kurniadin; Rosanensi, Melati
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3610

Abstract

The apriori algorithm uses minimum support and minimum confidence to determine appropriate itemset rules for decision making. The problem faced in this research is how to improve the performance of the a priori algorithm in the process of searching for itemset frequencies using data partition techniques, and be able to produce optimal and consistent rules. To overcome this problem, the author implemented the a priori method and partition system to improve the performance of the a priori algorithm for the itemset frequency search process by taking public data in the form of supermarket transaction data. In this research, the performance of the a priori algorithm was tested with and without a partition system. The data used in this research consists of 350 transaction data from 1784 records with a 4-itemset pattern, minimum support value of 20% and minimum confidence of 0.5 with the best standard rules for determining minimum confidence of 0.8. Based on this research carried out, the research results obtained are that for comparison of time and memory usage the apriori algorithm with a partition system is much faster than the apriori algorithm without a partition system, while memory usage is relatively less for the apriori algorithm with the system than the apriori algorithm without a partition system.
Co-Authors Abdul Muhid, Abdul Abdurahman Abdurrahman Ahmad Ahmad Ahmat Adil Al-Mu’min, Al-Mu’min Amrullah, Ahmad Zuli Andi Sofyan Anas Apriani Apriani Apriani Arfa, Muhammad Astuti, Emi Attaqwa, M.Aswin Syarif Azhar, Raisul Azhari, Anjas Ardiyan Azkari, Adzan Naufal Cahyablindar, Ayu Fatimatuzahra, Fatimatuzahra Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Guyup Mahardhian Dwi Putra Habib Ratu Perwira Negara Hairani Hairani Hardita, Veny Cahya Husain Husain Husnita Komalasari I Made Yadi Dharma I Nyoman Switrayana Kartarina, Kartarina Kurniadin Abd Latif Kusmayadi, Iwan Lestari, I Desak Ayu Adhia M. Hidayatullah Madani, Miftahul Mardedi, Lalu Zazuli Azhar Melati Rosanensi Muhammad Haris Nasri Muhammad Innuddin Muhammad Mujahid Dakwah Pahrul Irfan Panca Mukti, M Thoric Pratama, Gede Yogi Puspita Dewi, Puspita Putri, Destiana Adinda Qososyi, Sayidina Ahmadal Qulub, Mudawil Rini Adriani Auliana rodhi, mohammad najib Samudra, Nanang Santoso, Heroe Saputra, Ahmad Hakiki Sembiring, Rinawati Sholeha, Eka Wahyu Sirojul Hadi Sujaka, Tomi Tri Sujaka, Tomy Tri Sukmawaty Sukmawaty, Sukmawaty Suprayetno, Djoko Suriyati, Suriyati Syahrir, Moch. Syarif, M. Aswin Tajuddin, Muhammad Wirajaya Kusuma Yuliana Yuliana Zamroni Alpian Muhtarom Zuhrian, Naufal Rifqi Zulfikri, Muhammad