Claim Missing Document
Check
Articles

Found 26 Documents
Search

Alat Bantu Jalan Penyandang Disabilitas Ganda (DeafBlind) Dengan Peringatan Getaran Berbasis Mikrokontroler Nizmaldy Astoro Witjati; Ade Zulkarnain Hasibuan; Arnes Sembiring
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.027 KB)

Abstract

The sense of sight is a vital source of information that is very important for humans, but not a few people experience problems with their vision. Blindness is a general term used to describe the condition of a person who experiences obstacles or impairments in their visual abilities. Because the function of the sense of vision decreases, blind people maximize the function of other senses such as the sense of touch, smell, hearing, and others. However, there are also blind people who suffer from abnormalities such as the loss of the sense of hearing (deafblind) which is usually called double disability (deafblind). It can be understood that if a person has impaired vision and hearing (deafblind), then their activities are very limited, because the information obtained will be reduced compared to someone with normal vision and hearing. In general, blind people use a cane as a walker to assist movement when walking, therefore, a walker is made that can detect objects or obstacles in front using an ultrasonic sensor based on an arduino nano microcontroller, with vibration output as a warning to people with disabilities. The purpose of this tool is to make it easier for people with multiple disabilities (deafblind) to detect obstacles in front when walking. The results obtained from this tool work accordingly and stably as expected, as evidenced by the detection success rate of 99.26% and a very minimal error rate of 0.74%, and the results of the comfort of using a cane carried out by users (deafblind) reached 70,83% with comfortable criteria.
Rancang Bangun Kotak Penyimpanan Uang Berbasis Mikrokontroller Fanggi Chikal Furqonie; Ade Zulkarnain Hasibuan; Arnes Sembiring
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 7, No 2 (2023): November 2023
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v7i2.15718

Abstract

Perkembangan teknologi yang sangat pesat membuat masyarakat yang pada awalnya masyarakat hanya menabung uang dengan kotak penyimpanan tradisional atau biasa disebut celengan kini dengan adanya kemajuan teknologi kotak penyimpanan dapat dikembangkan menjadi kotak penyimpanan otomatis. Kotak penyimpanan uang yang dilengkapi mikrokontroller ini dapat mengenali nominal uang yang telah ditabung, memberikan informasi jumlah saldo pada tabungan hingga memiliki sistem keamanan berbasis password. Perancangan kotak penyimpanan uang berbasis mikrokontroller ini menggunakan arduino uno sebagai pengendali utama, sensor TCS3200 sebagai pendeteksi uang kertas dengan memanfaatkan nilai dari warna rgb (red, green, blue) dari masing-masing warna uang kertas dan selenoid door lock sebagai kemanan pada kotak penyimpanan. Berdasarkan pengujian yang telah dilakukan kotak penyimpanan uang berbasis mikrokontroller ini dapat membedakan dan menghitung jenis-jenis uang kertas, mampu memberikan informasi jumlah saldo pada tabungan serta dilengkapi dengan password sebagai kemanan kotak penyimpanan. Kata Kunci: Kotak penyimpanan uang, tabungan, mikrokontroller, sensor TCS3200, selenoid.
Rancang Bangun Miniatur Sistem Alat Pengukur Standar Kebisingan Knalpot Sepeda Motor Berbasis Arduino Uno Budi Santoso; Sayuti Rahman; Arnes Sembiring
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 1 (2023): Januari 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v2i1.40

Abstract

Sound is one of the vibrations of an object where the vibration occurs around the air that propagates from all directions where the results vary and the air pressure that applies to the surface of the eardrum that hear. Motorcycles are vehicles that are often heard on the road and there are some motorcycles that have some non-standard exhausts used on these motorcycles. Based on this problem, the author designed a miniature motorcycle exhaust noise measuring device system. Using this design uses Arduino Uno as the center of control rangkian LM393 sound sensor to measure the noise level of the sound produced by the exhaust and OLED displaying the sensor value. For the application of this tool, simply close the sensor to the motorcycle exhaust that will be tested, then the sound value produced by the motorcycle will be displayed on the miniature OLED of the exhaust noise standard measuring device, to determine whether the value produced by the user can see the result on the OLED screen.
Perancangan Sistem Keamanan Rumah Menggunakan Face Recognition (Pengenalan Wajah) Berbasis Raspberry Pi Adi Nugraha Batubara; Abdul Jabbar lubis; Arnes Sembiring
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 3 (2024): September 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i3.136

Abstract

Talking about technology, currently computer technology is developing very rapidly and is a field that has a very important role in several aspects of human life, including in the field of security. Currently, many home or room security systems have been developed with several identity verification methods using a computer system, using keys, cards, passwords, and so on. However, this method still has shortcomings such as humans' limitations in remembering number combinations which makes the door inaccessible. Therefore, techniques for reliable and accurate identification or verification can be designed using biometric technology that utilizes the special characteristics of the human individual.
Prediksi Tingkat Motivasi Belajar Siswa Menggunakan Metode Backpropagation Iga Putri Anjasari; Arnes Sembiring; Muamar Khadafi
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 3 (2024): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i3.261

Abstract

Motivation has an important role in the teaching and learning process for both teachers and students. For teachers, knowing students' learning motivation is very necessary. maintain and increase students' enthusiasm for learning. For students, learning motivation can foster enthusiasm for learning so that students are encouraged to carry out learning actions. Students carry out learning activities happily because they are driven by motivation. Currently, many students are less motivated to study. Backpropagation is a supervised learning algorithm and is usually used by perceptrons with many layers to change the weights connected to neurons in the hidden layer. Based on the learning rate and maximum epoch values, artificial neural networks using the backpropagation method can predict the level of student learning motivation with convergent results or the target error is achieved with an epoch of 11 iterations and a training process time (time) of 0.00.08 seconds. From the student learning motivation criteria data which is used as training data, the training targets can be identified. Yes and no input which is transformed into 0 and 1 can predict the level of student learning motivation with low, medium and high student motivation targets with reslt testing 80%.
Application Case Based Reasoning Method In Diagnosing Oil Palm Plant Diseases At PT Rapala, Gebang Sub-District Hafizah Husna; Hotler Manurung; Arnes Sembiring
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 3 (2024): IJHET SEPTEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.138 KB) | DOI: 10.55227/ijhet.v1i2.41

Abstract

In the last five years, the development of computers is very rapid. This can be seen from the number of computers owned by the community, with various sophistication and features and information systems that can spoil its users. One area of application that can be considered is the field of diagnosing oil palm plant diseases. Difficulties in diagnosing oil palm plant diseases at PT. RAPALA Kec. Gebang often occurs when you want to take preventive or curative action when an oil palm plant is attacked by a disease, because the old diagnostic system is due to limited experts so that the quality of operational performance is lacking. With the application of an expert system in diagnosing oil palm plant diseases, it is hoped that it will make it easier for field workers to diagnose oil palm plant diseases quickly without waiting for experts. This system is designed using PHP My Admin programming software and MySQL as database. The result of this study is the process of diagnosing diseases in oil palm plants using the Case Based Reasoning method where the design begins with entering symptom data, then the system calculates the diagnostic results according to the Case Based Reasoning method and displays it in the form of a report.