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Analisis Perbandingan Akurasi dalam Identifikasi Autism dengan SVM dan Naive Bayes Ferawaty -; Muhammad Zarlis; Erna Budhiarti Nababan
Jurnal SIFO Mikroskil Vol 17, No 2 (2016): JSM Volume 17 Nomor 2 Tahun 2016
Publisher : Fakultas Informatika

Gangguan autisme banyak ditemukan pada anak yang berumur 3 tahun ke bawah. Pendiagnosaan gangguan penyakit ini telah dilakukan dengan menggunakan berbagai metode, terutama metode dalam dunia psikologis. Peneliti menggunakan metode Support Vector Machine (SVM) dan metode Naive Bayes untuk menyelesaikan kasus gangguan autisme yang mengalami kesalahan diagnosa. Dalam hasil penelitian ini dilakukan perbandingan metode Support Vector Machine (SVM) dengan metode Naive Bayes. Metode Support Vector Machine (SVM) menghasilkan rata ?¢â?¬â?? rata klasifikasi 93,12%, sedangkan metode Naive Bayes menghasilkan rata ?¢â?¬â?? rata klasifikasi 73,34%.

Application of The MOORA Method and Rank Order Centroid for Admission Recommendation System Power Programmer Ryan Rinaldi Hadistio; Herman Mawengkang; Muhammad Zarlis
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 1 (2022): January 2022
Publisher : Universitas Negeri Medan

Riset ini bertujuan untuk menerapkan sistem pendukung keputusan menggunakan kombinasi metode MOORA dengan pembobotan Rank Order Centroid pada penentuan rekomendasi dalam penerimaan tenaga programmer. Kriteria yang dijadikan sebagai parameter dan tolak ukur dalam penilaian penerimaan tenaga programmer pada penelitian ini sebanyak 7 kriteria yang terdiri atas HTML dan CSS (C1), Jquery dan Javascript (C2), PHP (C3), Java (C4), Android (C5), .NET (C6), dan MySQL (C7). Sampel data yang diujikan pada penelitian ini berjumlah 5 alternatif dari data pelamar yang mengajukan diri sebagai tenaga programmer. Pengujian perhitungan yang dilakukan dengan menerapkan metode yang diusulkan memperoleh hasil yaitu dapat memberikan keputusan rekomendasi pelamar yang layak untuk diterima pada posisi tenaga programmer.

Penerapan Metode Left Corner Parsing dan Analisis Kontekstual Pada Natural Language Processing Deny Jollyta; Muhammad Zarlis; Gusrianty Gusrianty; Yulvia Nora Marlim
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 1 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Natural language translation is very helpful in understanding each word or sentence based on the intended meaning. Variety of languages that are not easy to understand, cause miscommunication. Natural Language Processing (NLP) is the choice to translate human language with computer naturally. As one method of parsing, the left corner parsing describes languages ranging from the largest to the smallest constituent, namely the word. The decomposition is followed by representing the meaning or known as contextual interpretation. This study aims to describe the language using the left corner parsing which is equipped with analysis to determine the purpose of sentence using. The test results showed that the Left Corner Parsing method succeeded in deciphering sentences in accordance with the initial language pattern specified and provided the true contextual analysis and easily understood translation results.

IMPLEMENTASI ALGORITMA SMITH PADA APLIKASI ISTILAH TEKNIK INDUSTRI KIMIA Nasib Marbun; Ahmad Riza Fuadi; Muasir Pagan; Suranta Bill Fatric Ginting; Muhammad Zarlis; Dedy Hartama
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1637

Companies engaged in the chemical industry really need Human Resources (HR) who have knowledge in the field of chemical industry engineering terms in order to achieve the company's main goals, but due to the chemical industry engineering terms that use foreign languages is essentially difficult to understand not a few of the general public who have desire to work in companies in the chemical industry engineering experience problems in mastering the knowledge needed by chemical industry engineering companies. Therefore it is necessary to have an application that adopts science related to the chemical industry engineering term along with good search features. The application that was built to search for information related to chemical industry engineering terms in this study implements the smith algorithm as an algorithm that serves to minimize the use of the time needed in the search process. The smith algorithm notices that counting the number of shifts with the text character that is located right next to the window character on the rightmost text can sometimes provide a shorter shift than using the rightmost window text character. Then he gives a solution to take the maximum between the two values. The application term of chemical industry engineering research was built using visual basic net 2008 and can be operated properly on personal computers supported by Windows OS. Keywords: Chemical Industry Engineering Terms, String Matching, Algorithms, Smith.

PENGARUH FILSAFAT ILMU KOMPUTER TERHADAP SMART CITY UNTUK MENDUKUNG REVOLUSI INDUSTRI 4.0 SECARA ONTOLOGI Riah Ukur Ginting; Muhammad Zarlis; Zulkifli Nasution
Jurnal Ilmiah Flash Vol 8 No 1 (2022)
Publisher : P3M- Politeknik Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32511/flash.v8i1.948

Filsafat ilmu adalah ilmu pengetahuan yang menyelidiki hakekat segala sesuatu untuk memperoleh kebenaran yang berkaitan secara substansial maupun historis. Kelahiran suatu ilmu tidak dapat dipisahkan dari peranan filsafat, hal ini berlaku bagi semua disiplin ilmu termasuk bidang ilmu komputer. Ilmu komputer saat sekarang ini sangat berkembang dengan dipengaruhi oleh revolusi industri 4.0 seperti smart technology,smart city, dan lain-lain. Smart City merupakan penerapan konsep kota cerdas dengan pemanfaatan teknologi dan komunikasi untuk mewujudkan pelayanan masyarakat yang lebih baik. Peneltian ini membahas tentang pengaruh filsafat ilmu komputer terhadap smart city untuk mendukung revolusi industri 4.0 secara ontologi yang kaitan dengan hubungan filosofi dan sejarahnya, dari perkembangan sampai menjadi penggunaan teknologi di masa depan. Filsafat ilmu komputer terhadap smart city dapat membentuk karakter manusia (character building) yang mengarah kepada penggunaan kemajuan teknologi informasi berbasis revolusi industri 4.0. Karakter manusia di bina dalam pemakaian TIK pada smart city.

Pendekatan Filsafat Ilmu Terhadap Perkembangan Deep Learning dalam Perspektif Aksiologi: Philosophy of Science Approach to the Development of Deep Learning in Axiological Perspective Akbar, Muhammad Barkah; Wahyuni, LInda; Budi Triandi; Muhammad Zarlis; Zulkifli Nasution
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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

Deep learning is part of the most popular artificial intelligence (AI) technology among the public where this research aims to assist in solving problems. This study discusses the relationship between the philosophy of science and the correlation of axiology on the development of deep learning. This study uses library research by collecting literature studies, analyzing data, describing the contents of the problem, concluding the problem, providing conclusions and suggestions. The basis for implementing knowledge about deep learning can recognize objects or sounds with the science under study and the correlation between axiology and the development of deep learning trials, the need for deep learning in an increasingly complex society becomes the basis for developing systems where data processing is carried out in more detail. and produce the correctness according to the algorithm that has been inputted. The research discussed also provides suggestions for guidance on the development of deep learning science on the development of axiology related to the philosophy of science in the implementation of deep learning systems on the development of science and technology in the field of computers.

Pendekatan Filsafat Ilmu Terhadap Perkembangan Deep Learning dalam Perspektif Aksiologi: Philosophy of Science Approach to the Development of Deep Learning in Axiological Perspective Akbar, Muhammad Barkah; Wahyuni, LInda; Budi Triandi; Muhammad Zarlis; Zulkifli Nasution
CSRID (Computer Science Research and Its Development Journal) Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.15.1.2023.62-72

Deep learning is part of the most popular artificial intelligence (AI) technology among the public where this research aims to assist in solving problems. This study discusses the relationship between the philosophy of science and the correlation of axiology on the development of deep learning. This study uses library research by collecting literature studies, analyzing data, describing the contents of the problem, concluding the problem, providing conclusions and suggestions. The basis for implementing knowledge about deep learning can recognize objects or sounds with the science under study and the correlation between axiology and the development of deep learning trials, the need for deep learning in an increasingly complex society becomes the basis for developing systems where data processing is carried out in more detail. and produce the correctness according to the algorithm that has been inputted. The research discussed also provides suggestions for guidance on the development of deep learning science on the development of axiology related to the philosophy of science in the implementation of deep learning systems on the development of science and technology in the field of computers.

Performance Analysis of Hybrid Cryptographic Algorithms Rabbit Stream and Enhanced Dual RSA Sarumaha, Demonius; Mohammad Andri Budiman; Muhammad Zarlis
Data Science: Journal of Computing and Applied Informatics Vol. 7 No. 1 (2023): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v7.i1-10483

Cryptography is a technique for encoding data by encrypting plaintext into an unreadable (meaningless) form. Cryptographic methods have good and bad performance depending on the type of algorithm we use. Therefore, the purpose of this study is to measure speed by combining the two algorithms used. The Rabbit Stream algorithm is a stream cipher algorithm whose system security depends on the generation of a key bit stream (keystream), which only guarantees 128-bit key security but has the advantage of being fast in the encryption and decryption process, while the Enhanced Dual RSA algorithm is an asymmetric algorithm to increase data protection from the Dual RSA algorithm by utilizing the Pells equation as a substitute for public key exponents. On the other hand, the algorithm in question requires a significant amount of time to encrypt messages with a large capacity when compared to the Rabbit Stream algorithm. Nonetheless, the study's findings suggest that using a hybrid method is comparatively faster for processing substantial amounts of data.

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