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Journal : Lontar Komputer

PERBAIKAN SISTEM STANFORD RTE PADA KALIMAT MENGANDUNG EKSPRESI ARITMATIKA Arianto, Rakhmat; Siahaan, Daniel Oranova; Saikhu, Ahmad
Lontar Komputer Vol. 4, No. 2 Agustus 2013
Publisher : Research institutions and Community Service, University of Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (112.959 KB)

Abstract

Sistem Stanford Recognizing Textual Entailment adalah sistem yang dapat mendeteksi entailment maupun kontradiksi yang terkandung dalam pasangan kalimat Text dan Hypothesis.Pada tahun 2009, dilakukan penelitian pengembangan sistem Stanford RTE dengan menggabungkan sistem Stanford RTE pada tahun 2006 dengan sistem Stanford RTE pada tahun 2008.Salah satu kelemahan pada sistem Stanford RTE tahun 2009 adalah kesalahan deteksi kontradiksi pada pasangan kalimat Text dan Hypothesis mengandung ekspresi aritmatika.Untuk menutupi kelemahan tersebut, ditambahkan fitur aritmatika dalam sistem Stanford RTE yang khusus memproses pasangan kalimat Text dan Hypothesis mengandung ekspresi aritmatika.Fitur aritmatika dibangun dengan empat tahap utama, yaitu tahap analisa linguistik, tahap pencarian nilai kemiripan kata, tahap penentuan operator aritmatika, dan tahap penyimpulan entailment, kontradiksi, atau tidak diketahui.Fitur aritmatika telah dilakukan pengujian terhadap 30 pasang kalimat Text dan Hypothesis mengandung ekspresi aritmatika yang diambil dari halaman website berita dengan hasil tingkat keberhasilan mencapai 80%.
THE OBSTACLES DETECTOR WITH TAHANI FUZZY LOGIC AS THE TOOL FOR BLIND PEOPLE ., Abdurrasyid; Arianto, Rakhmat; Indrianto, Indrianto; Nugroho, Bramantyo Adi
Lontar Komputer Vol. 9, No. 2 August 2018
Publisher : Research institutions and Community Service, University of Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.119 KB) | DOI: 10.24843/LKJITI.2018.v09.i02.p02

Abstract

Indonesian Blind Union said that the number of blind people in Indonesia reached 3.75 million and 40% in school-age children, and this number will continue to increase each year. Blind people will need the tool to help their day to day activities. The research that has been developed still have flaws, whereas they do not provide the sound of information to the people with visual impairment about the obstacle, included no scientific method used in the research, especially about how the appliance works. This research does not only provide ?beep? sound when obstacles are detected, but also provides audio information through a headset to the blind people. There are three obstacles detected, they are holes, bumps, and walls, and it can help the blind people to decide whether to dodge or to step high. To support the audio output and the design processing speed of the appliance, this research uses Raspberry Pi 3 mini PC, three ultrasonic sensors that are used to detect obstruction objects upright, hole and bump, and to initialize the initial values before it detects the obstruction. Tahani fuzzy logic method used to different obstacles such as the bumps, flat surfaces, or holes so the blind people feel much safer while walking.