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All Journal Prosiding Semnastek MATAPPA: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Jurnal INFOTEL
Nur Uddin
Universitas Pembangunan Jaya
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Other

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Sistem Notifikasi Estimasi Waktu Kedatangan Kereta Commuter Line Berbasis Arduino Uno Fathan Albar; Nur Uddin
Prosiding Semnastek PROSIDING SEMNASTEK 2019
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Keterlambatan kedatangan kereta commuter line dapat disebabkan oleh berbagai alasan, mulai dari gangguan listrik, jalur kereta yang masih bergantian, hingga kecelakaan. Penumpang kereta sering kali tidak mengetahui informasi keterlambatan sehingga para calon penumpang tidak tahu pasti kapan kereta selanjutnya akan tiba. Sistem notifikasi estimasi kedatangan merupakan perangkat prototipe berbasis mikrokontroler Arduino Uno yang berguna untuk memberikan informasi mengenai estimasi waktu kedatangan kereta dengan menggunakan sensor ultrasonik untuk mendeteksi kereta yang melintas. Data yang didapat oleh sensor ultrasonik akan melalui proses perhitungan untuk menentukan estimasi waktu yang dibutuhkan kereta dan mengirimkan data tersebut menggunakan modul HC-12 untuk ditampilkan pada LCD Display sehingga penu
Pengenalan Revolusi Industri 4.0 kepada Remaja Nur Uddin; Safitri Jaya; Pandu Purwandaru
MATAPPA: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2020): September
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/matappa.v3i2.646

Abstract

A program for introducing industrial revolution 4.0 to teenager was provided in this community service.  The program included seminar and workshop. The seminar gave a general introduction about the industrial revolution 4.0 including the history, technology, challenges, and opportunities. The seminar was followed by a workshop on digital technology applied in the era of industry 4.0. The workshop provided the participants knowledge and experience of robotics and internet of things (IoT) through building WiFi robots. This program was intensively done in 25 hours during five days. The results showed that the program was able to improve the participants’ knowledge and capability in understanding the industrial revolution 4.0 and the basic technology about 60%.
Penentuan Lokasi Halte Transjabodetabek Ciputat-Blok M dengan Model Set Covering Problem Fredy Jhon Philip; Wasni Wasni; Nur Uddin
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 7, No 3 (2020): NOVEMBER
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v7i3.488

Abstract

South Tangerang City is one of the buffer areas around Jakarta. Since October 1st 2014 the Djakarta Passenger Transport Company (Perum PPD) has officially launched 10 units bus of the Transjabodetabek Ciputat – Blok M in the Ciputat PPD pool. This is one of the government’s efforts to facilitate the citizens of South Tangerang City to Jakarta with affordable and easy costs. This bus is connected to the Transjakarta’s bus stop so that Ciputat people who want to go to the middle of Jakarta City or the farthest areas that are still reachable by Transjakarta don’t need to change to the other modes. To optimize the operation of Transjabodetabek bus on the Ciputat – Blok M route require supporting facilities such as bus stop location. In this research, the amount and location of the bus stop is determining by identifying the location of trip generation with a relatively high level of demand and candidate location of the bus stops.The results of calculation using set covering problem model conclude that there are 17 location fot bus stop in order to serve demand public bus service.
Trajectory Tracking Control System Design For Autonomous Two-Wheeled Robot Nur Uddin
JURNAL INFOTEL Vol 10 No 3 (2018): August 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i3.393

Abstract

A trajectory tracking control system design of an autonomous two-wheeled robot (TWR) is presented. A TWR has two movements: translation (moving forward/backward) and rotation (turning to the right/left) which are commonly represented by a non-linear kinematic equations. The objective of the trajectory tracking control system is to steer the TWR move on a desired trajectory in planar space. In order to simplify the trajectory tracking control system design, the non-linear kinematic equations were approximated by linear kinematic equations through a linearization. Linear quadratics regulator (LQR) method was applied to design the control system. Computer simulations were done to evaluation performance of the designed control system. The simulation results show that the designed control system was able to make the TWR track a desired trajectory that located 1.4 meter away from the TWR initial position within 3 seconds.
Optimal Control Design of Active Suspension System Based on Quarter Car Model Nur Uddin
JURNAL INFOTEL Vol 11 No 2 (2019): May 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i2.429

Abstract

The optimal control design of the ground-vehicle active suspension system is presented. The active suspension system is to improve the vehicle ride comfort by isolating vibrations induced by the road profile and vehicle velocity. The vehicle suspension system is approached by a quarter car model. Dynamic equations of the system are derived by applying Newton’s second law. The control law of the active suspension system is designed using linear quadratic regulator (LQR) method. Performance evaluation is done by benchmarking the active suspension system to a passive suspension system. Both suspension systems are simulated in computer. The simulation results show that the active suspension system significantly improves the vehicle ride comfort of the passive suspension system by reducing 50.37% RMS of vertical displacement, 45.29% RMS of vertical velocity, and 1.77% RMS of vertical acceleration.
A Development of Low Cost Wi-Fi Robot for Teaching Aid Nur Uddin
JURNAL INFOTEL Vol 12 No 2 (2020): May 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i2.471

Abstract

A low-cost Wi-Fi robot as a teaching equipment is developed. The robot can be used to teach students in the subjects related to robotics system and internet of things (IoT). A Wi-Fi robot is a robot equipped with a Wi-Fi communication system for connecting to the internet. Integrating the robot with an IoT platform makes the robot able to communicate with other devices. The developed Wi-Fi robot in this study is a three-wheeled robot type. A NodeMCU ESP-12, which is a microcontroller equipped with Wi-Fi module, is applied in the robot. The robot is connected to the Blynk IoT platform and paired to a smartphone. It results in communication between the robot and the smartphone through the internet. The communication is demonstrated by remotely operating the robot using the smartphone. Mechanical structure and electronic wiring of the robot are simple such that the robot is easily built. Moreover, the cost of required components for building the robot is quite cheap as less than USD 20.
Web mining and sentiment analysis of COVID-19 discourse in online forum communities Masurah Mohamad; Suraya Masrom; Khairulliza Ahmad Salleh; Lathifah Alfat; Muhammad Nasucha; Nur Uddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp1280-1287

Abstract

Recently, various discussions, solutions, data, and methods related to coronavirus disease 2019 (COVID-19) have been posted in online forum communities. Although a vast amount of posting on COVID-19 analytical projects are available in the online forum communities, much of them remain untapped due to limited overview and profiling that focuses on COVID-19 analytic techniques. Thus, it is quite challenging for information diggers and researchers to distinguish the recent trends and challenges of COVID-19 analytic for initiating different and critical studies to fight against the coronavirus. This paper presents the findings of a study that executed a web mining process on COVID-19 data analytical projects from the Stack Overflow and GitHub online community platforms for data scientists. This study provides an insight on what activities can be conducted by novice researchers and others who are interested in data analysis, especially in sentiment analysis. The classification results via Naïve Bayes (NB), support vector machine (SVM) and logistic regression (LR) have returned high accuracy, indicating that the constructed model is efficient in classifying the sentiment data of COVID-19. The findings reported in this paper not only enhance the understanding of COVID-19 related content and analysis but also provides promising framework that can be applied in diverse contexts and domains.
Co-Authors Fathan Albar Fredy Jhon Philip Sitorus Khairulliza Ahmad Salleh Lathifah Alfat Masurah Mohamad Muhammad Nasucha Pandu Purwandaru Safitri Jaya Suraya Masrom Wasni Wasni