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Implementation of Design Thinking Method in UI/UX Redesign of Public Complaint Application (Case Study: Go Siaga App) Pangestu, Rafi Kurnia; Ulum, Muhamad Bahrul
JURNAL TEKNIK INFORMATIKA Vol. 16 No. 2 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i2.27416

Abstract

Go Siaga App is a mobile-based application by Tangerang Sub-district Police Office that provides special community services for the Tangerang sub-district community which provides features in the form of reports of disturbances in public security and reports of loss or damage. Since it is a new application released in March 2021 on Google Playstore, there are several things that need to be considered to maintain the usability of the application. This research aims to redesign the user interface and user experience (UI/UX) of the Go Siaga application using Design Thinking Method in the design process. Some of the supporting aspects for testing the user satisfaction such as effectiveness, efficiency, usefulness, satisfaction, and learnability are met in the usability testing. The results showed that the percentage of all the aspects in usability from the redesigned version were all higher than the current one with 80% of effectiveness, 80% of efficiency, 80% of usefulness, 86.67% of satisfaction, and 73.33% of learnability. Therefore, based on the research results, the redesign of Go Siaga is more effective, more efficient, more useful, more satisfying, and also easy to learn.
Workshop Pengenalan Aplikasi CPU OS Simulator untuk Penjadualan First-Come First-Served (FCFS) Agung Mulyo Widodo; Roesfiansjah Rasjidin; Muhamad Bahrul Ulum; Binastya Anggara Sekti; Nixon Erzed; Ryan Putra Laksana; Budi Tjahjono; Hendry Gunawawan
IKRA-ITH ABDIMAS Vol. 7 No. 3 (2023): Jurnal IKRAITH-ABDIMAS Vol 7 No 3 November 2023
Publisher : Universitas Persada Indonesia YAI

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

Abstract

CPU OS Simulator merupakan aplikasi simulator yang mendukung proses pembelajaran yang mensinergikan dari sisi perangkat keras maupun perangkat lunak. Dalam aplikasi ini terdapat modul penjadualan First Come First Serve (FCFS) merupakan algoritma penjadwalan sistem operasi yang secara otomatis mengeksekusi permintaan (request by priority) dan proses antrian sesuai urutan kedatangannya (arrival). Algoritma scheduling untuk proses (assembly dan visualisasi) dengan menggunakan CPU OS Simulator, aplikasi ini lebih mudah dioperasikan dan user-friendly bagi pengguna. Dalam algoritma jenis ini, proses yang me-request CPU terlebih dahulu mendapatkan alokasi CPU terlebih dahulu. Proses penjadualan dikelola dengan metode antrian First-In First-Out (FIFO), dalam ruang lingkup sistem operasi dengan fokus penjadualan algoritma FCFS (First Come First Serve). Metode workshop dilaksanakan secara daring menggunakan zoom cloud meeting, dengan peserta dosen yang berminat akan aplikasi tersebut dan para anak didik yang mau mengenal memahami konsep dari sistem operasi. Aplikasi CPU OS simulator merupakan salah satu aplikasi yang bersifat free-ware sehingga dapat di unduh secara gratis bagi para pengguna (dosen dan atau mahasiswa). Hasil akhir dari pelatihan bagi pengguna akan melihat dan mengerti tahapan demi tahapan dari proses intruksi hingga compile yang disajikan bentuk simulasi dan visualisasi (histogram) serta beberapa parameter dari proses tersebut (average waiting time, average burst time, tick count dan instruction count).
Design of Patient Complaint Information System at Qadr Hospital For Health Services Website Based Ulum, Muhamad Bahrul; Syahiradania, Azahra
Poltanesa Vol 24 No 2 (2023): December 2023
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i2.2938

Abstract

Hospitals are health care facilities that are required to create patient satisfaction. If the services they receive or enjoy are far below the standards they expect, then people will lose interest in getting these services or services. The mismatch between expectations and the services provided will lead to complaints and complaints from the public about the services provided, thus adversely affecting the image of the health care facility. The problem that occurs at Qadr Hospital is that it is difficult for patients to submit complaints about health services, although there is an assessment questionnaire in the form of a google form, the link cannot be accessed when the patient is at home so that user inconvenience can result in reduced patient participation in providing feedback, so that complaints that should be heard by the hospital can be missed, and hospital service quality has difficulty tracking and analysing patient complaints effectively so that it can hinder the process and service improvement. So that Qadr Hospital plans to create a website-based application that will be used as a medium to facilitate patients in channeling complaints related to the health services provided. In designing this application using the Rapid Application Development (RAD) development method.
A, PENGEMBANGAN SISTEM DETEKSI WAJAH MENGGUNAKAN DEEP LEARNING UNTUK APLIKASI ABSENSI OTOMATIS DI PERUSAHAN ARIS MOTOR MUHAMAD BAHRUL ULUM
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25212

Abstract

Employee attendance is one of the important aspects of company management. However, the manual attendance process often causes issues such as queues, inaccurate record-keeping, and potential fraud. Therefore, this study aims to develop an automated attendance system based on facial recognition by utilizing Deep Learning technology, specifically the Convolutional Neural Network (CNN) method, using the Python programming language.This system is designed to automatically detect and recognize employees' faces through a camera, so that the attendance process can be carried out more quickly, efficiently, and with minimal contact. The model training process is conducted by collecting employee facial data, which is then processed into embeddings using CNN. Subsequently, the facial detection results are matched with the data stored in the database.This study was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was capable of recognizing This research was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was able to recognize employees' faces with a good level of accuracy and provide feedback such as “Welcome [name]” when they first check in, as well as detect if a face has previously checked in or is not recognized at all.With this system, it is expected that the attendance process at Aris Motor will become more modern, practical, and reliable, while also serving as an initial step towards the digitalization of attendance systems in the workplace.Keywords: Automatic Attendance, Face Detection, Deep Learning, CNN, Python, Aris Motor