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Journal : The Indonesian Journal of Computer Science

Penerapan Sensor Warna Gy-31 Sebagai Alat Bantu Tuna Netra Untuk Mengenali Uang Kertas Rupiah Berbasis Arduino Joni Eka Candra; Ade Firmanto; Burhan, Rifaatul Mahmudah
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3420

Abstract

Money is a common means of buying and selling transactions in use around the world. Most human needs can be obtained by using money. Because of the huge human need for money, many irresponsible parties use it to produce and distribute counterfeit money. A blind person has difficulty in reading and distinguishes between real money and counterfeit money. Required a tool that can help blind people to solve this problem. Rupiah money have a color difference on every nominal and hidden image that will glow if irradiated with ultra violet. It can be used to read nominal and authenticity. With Arduino microcontroller that combine with GY-31 color sensor and BH1750 light sensor can be used to create tool that will help the blind people to read and distinguish real money and counterfeit money. This tool is expected blind people will be spared from fraud related to counterfeit money and miss-reading the nominal.
Penerapan Logika Fuzzy Untuk Analisis Tingkat Kepuasan Layanan Pelabuhan Domestik Sekupang Kota Batam Joni Eka Candra; Noviardi, Refli; Eko Prasetyo, Stefanus; Burhan, Rifa’atul M.; Rushadi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3558

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengetahui seberapa besar pengaruh tingkat layanan yang diberikan terhadap respon kepuasan bagi para penumpang kapal di pelabuhan domestik Sekupang kota Batam. Dalam kelancaran penelitian ini digunakan metode studi kepustakaan, observasi, dan penyebaran kuesioner dengan menggunakan skala likert, serta metode fuzzy. Berdasarkan analisis dan pembahasan yang dilakukan terhadap 50 orang responden, dengan metode skala likert responden menyatakan cukup puas. Ini berarti pelabuhan sekupang Kota Batam, cukup berhasil memberikan layanan yang terbaik atau cukup memuaskan kepada para penumpang, baik dari Dimensi Kehandalan, Dimensi Daya Tanggap, Dimensi Kepastian, Dimensi Empati dan Dimensi Berwujud secara keseluruhan konsumen merasa cukup puas, dengan rata-rata presentase sebesar 71 % (35,5 dari 50 responden). Tidak jauh berbeda dengan hasil uji coba Fuzzy Logic metode Mamdani dilihat dari hasil nilai output untuk kepuasan konsumen sebesar 150 (dengan range 50-250) yang artinya tingkat kepuasan konsumen cukup puas akan pelayanan yang diberikan oleh Pelabuhan Sekupang Kota Batam.
Pengembangan Tongkat Cerdas Pemandu Tunanetra Menggunakan Arduino Berbasis Sensor Ultrasonik Joni Eka Candra
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4157

Abstract

This research aims to develop a smart cane that can be used as a guide for the blind by utilizing Arduino technology and ultrasonic sensors. This smart cane is designed to help blind people detect and avoid obstacles around them, thereby increasing safety and independence when walking. The method used in this research involves designing and manufacturing hardware and software that are integrated into a smart stick. Ultrasonic sensors are used to detect the distance and presence of objects in front of the user, while the Arduino microcontroller processes the sensor data and provides feedback in the form of vibrations or warning sounds. Trials were carried out on several blind people to evaluate the effectiveness and practicality of this tool. The research results show that this Arduino-based smart stick with an ultrasonic sensor is able to detect objects with good accuracy and provide quite effective warnings to users. The feedback provided allows users to recognize and avoid obstacles more easily, thereby increasing confidence when moving in unfamiliar environments. Thus, it is hoped that this smart cane can be an innovative and practical solution to increase the mobility and independence of blind people. This research also opens up opportunities for further development in assistive technology for people with disabilities.