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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Simtek : Jurnal Sistem Informasi dan Teknik Komputer CSRID (Computer Science Research and Its Development Journal) Technologia: Jurnal Ilmiah Jurnal Pendidikan dan Konseling Journal of Applied Engineering and Technological Science (JAETS) INFOKUM KLOROFIL: Jurnal Ilmu Biologi dan Terapan Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Armada Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) JOMLAI: Journal of Machine Learning and Artificial Intelligence
Yusuf Ramadhan Nasution
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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PENERAPAN ALGORITMA GREEDY UNTUK MENENTUKAN RUTE TERPENDEK ANTAR KLINIK GIGI Furqan, Muhammad; Nasution, Yusuf Ramadhan; Nurdianti, Taing Sapitri
CSRID (Computer Science Research and Its Development Journal) Vol 12, No 3 (2020): CSRID OKTOBER 2020
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.12.3.2020.170-178

Abstract

Kesehatan gigi dan mulut adalah indikator kesehatan masyarakat. Adanya masalah kesehatan pada gigi dan mulut menyebabkan penurunan fungsi kesehatan individu. Masalah kesehatan gigi dan mulut disebabkan oleh kebiasaan seseorang menyikat gigi secara tidak teratur. Banyak pilihan yang dapat dibuat untuk sampai ke lokasi di mana klinik gigi terdekat diinginkan, tetapi ada keadaan di mana klinik gigi yang direncanakan tidak buka. Oleh karena itu dibutuhkan rute terpendek untuk sampai ke klinik gigi lain. Data dalam bentuk jarak, waktu dan rute untuk sampai ke klinik gigi yang diinginkan diambil dari peta Google, dengan total 10 simpul untuk diterapkan ke peta (maps). Untuk hasil peta, sebuah algoritma digunakan, dalam hal ini algoritma Greedy digunakan untuk memecahkan masalah menemukan rute terpendek. Berdasarkan hasil penelitian dari klinik gigi terdekat dengan titik awal yang dicari menggunakan algoritma Greedy itu menghasilkan total jarak, waktu perjalanan dan titik yang dilalui.
SISTEM PAKAR DETEKSI AWAL PENYAKIT TUBERKULOSIS DENGAN METODE BAYES Yusuf Ramadhan Nasution; KHAIRUNA KHAIRUNA
KLOROFIL: Jurnal Ilmu Biologi dan Terapan Vol 1, No 1 (2017): Klorofil: Jurnal Ilmu Biologi dan Terapan
Publisher : Program Studi Biologi Fakultas Sains dan Teknologi Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/kfl:jibt.v1i1.1236

Abstract

These days, computer technology has been a great need to us humans, especially in medical experts, which evaluated to adopt humans’ ability and knowledge to the computers. So that the computer is capable of solving problems like what an expert is capable of doing. The main purpose of developing the expert system is to substitute all kinds of humans’ knowledge to the technology that it can be useful to the public to solve some specific problems. The application of the expert system made with programming language based on PHP web and MySQL as the database. The method used is Forward Chaining. Expert system can mainly be used to diagnose diseases such as tuberculosis using Bayes method that can diagnose and identify the tuberculosis according to its symptoms.
Aplikasi Mobile Media Pembelajaran Dasar Algoritma dan Pemrograman Berbasis Android Yusuf Ramadhan Nasution; Mhd Furqan
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 1, No 1 (2020): Juni 2020
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v1i1.791

Abstract

This research is a type of development research. The product development model adopts a software development model consisting of (1) Analysis of software requirements, (2) design, (3) writing code and (4) testing. Data collection techniques are done by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on the first user (lecturer) and testing on the end user (student).Keywords : Learning Media, Mobile Applications, Algorithms and Programming.
DECISION SUPPORT SYSTEM TO CHOOSE SMARTPHONE USING TOPSIS METHOD Agung Hamdika Surya; Ilka Zufria; Yusuf Ramadhan Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1082.032 KB)

Abstract

Technology has developed very rapidly nowadays, especially on smartphones. Nowadays smartphone is an item that is in great demand by everyone. smartphone is a mobile phone that has a function like a computer and also called mini computer. There are people who find it difficult to choose a smartphone with various advanced features available. Therefore, a decision support system was made using the TOPSIS method to select the smartphone that suits your needs. TOPSIS (Technique for order prefrence by similarity to ideal solution) is one of the multi-criteria decision making methods to find preference values ​​based on criteria and alternatives. A total of 7 criteria chosen by the author that are: price, brand, ram, battery, front camera, rear camera and display. Therefore, the alternatives used are Samsung A20, Xiaomi Mi A1, Realme C2, Asus Zenfone Max M2 and Oppo F5 Youth. The data is then calculated using the TOPSIS method based on the stages. So that we can get the preferences value and the rank of the smartphone we wanted which is then implemented into a web-based application. Keywords : Smartphone, TOPSIS, DSS
Decision Support System Decision Support System To Determine Sports Interest and Talent Using the Bayes Method Mhd Furqan; Yusuf Ramadhan Nasution; Fahrul Azis Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.66 KB)

Abstract

The identification of talent interests has been developed and its benefits have been felt in producing athletes who can excel at the national and international levels. Decision support system can be chosen because it is an appropriate way to determine interest and talent in sports, basically the concept of a decision support system is limited to activities to help assess a decision. In this study, using the Bayes method with this method requires probability information on each alternative to the problems faced to produce an expected value as a basis for decision making. The trial of calculations using the Bayes method on 50 samples of students who were successfully tested, namely 18 students with interests and talents in soccer, 13 gifted students in volleyball, 9 gifted students in badminton, 6 students who are gifted in sports. basketball, 4 gifted students in table tennis. In the application of the decision support system to determine interests and sports talents has been successfully made and running well to assist and facilitate the decision-making process of sports interests and talents.
Android-Based Algorithm and Programming Learning Media Mobile Application Yusuf Ramadhan Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.253 KB)

Abstract

This research is a type of development research. The product development model adopts a software development model consisting of (1) Analysis of software requirements, (2) design, (3) writing code and (4) testing. Data collection techniques are done by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on the first user (lecturer) and testing on the end user (student).
PENERAPAN ALGORITMA K-MEANS CLUSTERING PADA APLIKASI MENENTUKAN BERAT BADAN IDEAL Yusuf Ramadhan Nasution; Muhammad Eka
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 2, No 1 (2018): April 2018
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.867 KB) | DOI: 10.30829/algoritma.v2i1.1620

Abstract

    One application of computer technology in the medical world is to determine the ideal body weight (BMI) of a patient by comparing the body weight, height, and size of the patient's own skeleton, so doctors can determine the diet menu that is most suitable for such patients. This becomes very important, especially in the field of medicine, such as the field of beauty, athletes, or other fields that require ideal body shapes such as models, artists and so forth.    This ideal body weighting system is done by the ratio of height to body weight, and the size of the patient's frame. While the K-Means Clustering algorithm is an algorithm that can classify data based on benchmark values given and calculate the data group.    This system can be used to determine ideal body weight by applying BMI values as X coefficients and the patient frame size values as the Y coefficients and cluster central points are set first. However, this system still needs further development because there is no change facility to clustering data category, grouping process is shown in the form of animation, and the need of clustering category in store in one structured database. Keywords: Ideal Weight, K-Means Clustering Algorithm
PENERAPAN APLIKASI ONLINE ANGKET PERSEPSI MAHASISWA TERHADAP KINERJA DOSEN UIN SUMATERA UTARA MEDAN Yusuf Ramadhan Nasution
JISTech (Journal of Islamic Science and Technology) Vol 3, No 2 (2018)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1105.943 KB) | DOI: 10.30829/jistech.v3i2.3158

Abstract

Untuk meraih dan menuju perguruan tinggi berkelas dunia, Universitas harus  memperbaiki berbagai hal yang masih menjadi kendala salah satunya yaitu dengan digitalisasi. Unit Penjamin Mutu (UPM) Fakultas yang ada di UIN Sumatera Utara Medan  memberikan pelayanan kepada mahasiswa untuk memaksimalkan proses belajar mengajar di fakultas salah satunya yaitu program angket mahasiswa terhadap kinerja dosen. Dalam proses penyebaran atau pengisian angket masih dilakukan secara manual, dimana angket yang dibagikan kepada mahasiswa dalam bentuk lembaran. Penulis mencoba membuat aplikasi angket online yang dapat memberikan kesempatan kepada mahasiswa untuk memberikan penilaian terhadap kinerja dosen yang mengajarnya. Metode skala likert diterapkan dalam aplikasi online sebagai konsep perhitungan hasil. Dimana dalam penerapannya digunakan 5 skala dengan skala masing-masing memiliki nilai. Skala yang digunakan yaitu “Tidak Setuju” bernilai 1, “Kurang Setuju” bernilai 2, “Cukup Setuju” bernilai 3, “Setuju” bernilai 4, dan “Sangat Setuju” bernilai 5. Kemudian berdasarkan skala dengan nilai yang dimiliki akan dihitung hasil dengan mengambil jumlah responden dan frekuensi jawaban responden untuk tiap skala.
ALAT PENGENAL NOMINAL UANG UNTUK TUNANETRA MENGGUNAKAN SENSOR WARNA DAN ULTRAVIOLET Suhardi Suhardi; Yusuf Ramadhan Nasution
JISTech (Journal of Islamic Science and Technology) Vol 4, No 1 (2019)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.228 KB) | DOI: 10.30829/jistech.v4i1.5493

Abstract

Uang merupakan alat yang digunakan untuk melakukan transaksi jual beli dan sudah digunakan oleh seluruh manusia di setiap penjuru dunia. Hal ini sudah pasti menjadikan uang menjadi barang pokok untuk setiap orang, bahkan bagi para penyandang disabilitas seperti halnya tunanetra, kelemahan tunanetra dalam melihat dan mengidentifikasi uang dapat menyebabkan uang tertukar, salah ambil, atau bahkan tertipu pada saat melakukan kegiatan jual beli. Mengacu dari hal tersebut maka perlu adanya sistem sederhana yang dapat memudahkan tunanetra untuk mengidentifikasi nilai nominal serta keaslian uang. Alat ini menggunakan sensor warna TCS3200-DB untuk mendeteksi warna uang kertas dan sensor ultraviolet untuk mendeteksi keaslian uang lalu oleh mikrokontroller diubah menjadi data rgb dan dikeluarkan dalam bentuk suara, untuk mendapatkan keaslian uang kertas maka diperlukan bantuan sinar lampu ultraviolet yang akan membuat warna uang palsu terlihat lebih cerah dengan munculnya warna hijau selain warna biru, sedangkan uang asli hanya akan didapati warna biru, warna hijau dan biru tersebut juga dihasilkan dari pemisahan tiga warna dasar, pada dasarnya alat ini mampu untuk mendeteksi uang tahun keluaran 2000, hanya saja dalam program telah di atur nilai rgb untuk uang kertas rupiah tahun keluaran 2018
Prediksi Pemilihan Jurusan Siswa Kelas 1 SMK Menggunakan Jaringan Syaraf Tiruan dengan Metode Backpropagation Mhd. Furqan; Yusuf Ramadhan Nasution; Rabiatul Adawiyah Hasibuan
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3695

Abstract

Student learning potential can be seen or meansured in various ways, one of them by concluding it’s success in learning. The value of subjects is one indicator that isused as a references to conclude studentlearning success academically. Artificial Neural Networks have the ability to learn and produce rules or operations from some input examples that are entered and make predictions. Backpropagation isone method that is often used in solving complex problems because the network with this method is trained using guided learning methods.
Co-Authors Abdul Halim Hasugian Adjie Prakasa Viragupty Agung Hamdika Surya Ahmad Raja Aidil Halim Lubis Aidil Halim Lubis Aisyah Nurrahmah Siregar Ali Darta Aninda Muliani Citra Duvita Rahman Fahrul Azis Nasution Fikri Hakiki Siregar Furqan, Muhammad Heri Santoso Ilka Zufria Jihan Ulfa Deski Khairuna Khairuna Khairunnisa Khairunnisa M Chairul Azmi M Ridho Ramadhan Mhd Furqan Mhd Ikhsan Rifki Mhd Reza Alfani Mhd. Furqan Muhammad Eka Muhammad Siddik Hasibuan Nurdianti, Taing Sapitri Rabiatul Adawiyah Hasibuan Raissa Amanda Putri Suhardi, Suhardi Tri Allan Siddiq Yessi Mayasari