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All Journal Sistemasi: Jurnal Sistem Informasi Creative Information Technology Journal Faktor Exacta Jurnal Mantik Penusa JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Respati Madani : Indonesian Journal of Civil Society Jurnal Abdi Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN
Norhikmah Norhikmah
Sistem Informasi, Fakultas Ilmu Komputer, Universitas AMIKOM Yogyakarta, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Journal : Faktor Exacta

 1 
Application of 2DPCA and SOM Algorithms to Identification of Digital Signature Ownership Norhikmah Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17504

Abstract

Signature Is one of the proofs for ratification, one of which is a thesis document, with the development of the  when conventional signatures have begin to switch to digital signatures, where digital signatures already have a legal umbrella in Indonesia, currently Covid is still hitting Indonesia, forcing some agencies change the ratification of a document using a digital signature, so that it can provide an opening for falsifying digital signature ratification. Therefore, an application is needed to identify the ownership of a digital signature image, with the first research stage is to collect a digital signature dataset in the form of a signature image or take a dataset from a published legal document, an example of a second stage publication manages the image processing with grayscale first to get extra features and then analyzes the extra feature image using 2DPCA, and identification To get the best matching of image units using the Single Organizing Maps (SOM) method. the results of this study are using the 2DPCA algorithm and SOM to identify ownership of digital signatures, with 84 correct and incorrect test results, from a total dataset of 91 patterns. And get the highest accuracy value of 92.3% at a 20000 translation and a rate of 0.9.
Sistem Pakar Rekomendasi Pendakian Gunung di Jawa Tengah menggunakan Algoritma Fuzzy Tsukamoto Berbasis Website Cut Tesya Iftillah Anggun Pratiwi; Norhikmah Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17685

Abstract

Indonesia has a variety of unique tours both in terms of nature and history that can be used as tourist attractions for local and foreign people, with a variety of beauties that can be enjoyed. One of them is the mountainous area which presents views that can soothe and spoil the eyes in almost every area of Indonesia which has different characteristics of mountains, especially the island of Java, to be precise in the area of Central Java, has about 12 mountains which are usually used as climbing places for residents in or outside the region, in addition to helping the people's economy, climbing can also be used to protect nature and can introduce the beauty of nature in Indonesia to the international community. Therefore a system was created to recommend mountain climbing in the Central Java area based on a website using the Fuzzy Tsukamato method
Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base Rifqhy Rayhan Andi Riga Pratama; Norhikmah Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17686

Abstract

Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m2). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.
Co-Authors Acihmah Sidauruk Adytyo Wahyu Nugroho Aldis Gandi Mitra Sanjung Ali Mustofa Alvien Muhammad Kannabi Anggit Dwi Hartanto Cut Tesya Iftillah Anggun Pratiwi Dewi Pratama Mastha Cahyaningrum Donni Prabowo Fintas Yulianti Ika Nur Fajri Kusrini Kusrini M. Rudyanto Arief Mu’alif Lihawa Neela Afifah Nita Helmawati Nita Helmawati Nor Latifah Nurlaila Nurlaila Randani Randani Rifqhy Rayhan Andi Riga Pratama Rumini Rumini . Rumini Rumini Sulistyo Pradana Vidyana Arsanti Wiji Nurastuti Wiwi Widayani