Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Bulletin of Information System Research
A.M Hatuaon Sihite
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Di Kecamatan Batang Kuis Menggunakan Metode MOORA Samuel Sihombing; Pristiwanto Pristiwanto; A.M Hatuaon Sihite
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5757

Abstract

Batang Kuis Subdistrict has a list of village heads who serve as village heads, based on the list of village heads in Batang Kuis District, the best village head election will be carried out. The problem faced in this study is that in choosing the best village head, it only looks at the abilities possessed by the village head, even though there are several criteria that can be considered by the sub-district in choosing the best village head. The criteria used in this study are Performance (C1), Community (C2), Knowledge (C3), Discipline (C4) and Attitude (C5). To overcome the problems encountered, a decision support system is needed. The method used in this study is the MOORA method, this method uses 5 criteria, namely: performance, society, knowledge, discipline and attitude. From the results of the study, the results of the decision with the best alternative were obtained, namely (13) in the name of "H. Kasiman" with the acquisition of 0,378.
Deteksi Berita Palsu Tentang Vaksinasi Covid-19 Dengan Menggunakan Text Mining Dan Algoritma Cosine Similarity Diana Marta; Guidio Leonarde Ginting; A.M Hatuaon Sihite
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5738

Abstract

Indonesia is currently experiencing an outbreak of a global virus called COVID-19. A lot of the fake news currently spreading on social media is news about vaccinations. The truth of spreading fake news should be detected by applying one of the information technologies, namely natural language processing (NLP). The algorithms that will be used to support fake news detection are text mining algorithms and cosine similarity algorithms. Looking for references related to the problem, starting from looking for books that discuss the algorithm used in this research. Looking for data related to the research topic, namely the COVID-19 vaccination. Data processing is done by applying a text mining algorithm as text processing. The stages of text mining are case folding, tokenizing, filtering, stemming. The processing analysis stage is carried out by applying the cosine similarity algorithm to analyze the level of similarity between data. Based on the calculation using the cosine similarity algorithm above, Q (detected news) has a similarity value of above 40% to D31 and D59, where the labels that have been made on D31 and D59 news data are hoax news. The probability of news appearing using a mathematical formula to calculate the probability, the probability value obtained by Q (news detected) is 100% hoax and 0% fact. Based on the results of the analysis of the data by applying the text mining and cosine similarity algorithms, the results show that the identified news is declared a hoax according to the data held.
Sistem Pendukung Keputusan Pemilihan Lokasi Sampel Dalam Blok Sensus Pada Survei Angkatan Kerja Nasional Dengan Menggunakan Metode Fuzzy Logic Khoiruddin Siregar; Pristiwanto Pristiwanto; A.M Hatuaon Sihite
Bulletin of Information System Research Vol 1 No 2 (2023): April 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i2.73

Abstract

The national labor force survey is a survey designed to get a general picture of employment and also to understand whether there have been changes in the structure of the workforce between enumeration periods. In this survey, not all census block areas were included in the enumeration and also not all families in the survey area were selected as the enumeration sites. So, for each selected region and household, it is hoped that it will be able to provide employment data based on education, working hours, industry classification and employment status as well as unemployment rates based on different characteristics and efforts to find work as well as the working age population that is not in the labor force. For this reason, to make efficient and effective decisions, here the author will use the fuzzy logic method because this method is very flexible where this method is able to adapt to changes and uncertainties, also has tolerance for imprecise data and can cooperate with control techniques. conventionally. The purpose of this study is to be able to make decisions about areas that are able to provide the information data needed in the labor force survey at BPS Padang Lawas Utara.
Co-Authors Diana Marta Guidio Leonarde Ginting Khoiruddin Siregar Pristiwanto Samuel Sihombing