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KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25974610     EISSN : 25974645     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) adalah wadah publikasi bagi peneliti dalam bidang kecerdasan buatan, kriptografi, pengolahan citra, data mining, system pendukung keputusan, mobile computing, system operasi, multimedia, system pakar, GIS, jaringan computer.
Arjuna Subject : -
Articles 111 Documents
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Search results for , issue "Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis" : 111 Documents clear
ANALISA TESTIMONIAL DENGAN MENGGUNAKAN ALGORITMA TEXT MINING DAN TERM FREQUENCY- INVERSE DOCUMENT FREQUENCE (TF-IDF) PADA TOKO ALLMEEART Simatupang, Meylita Putri; Utomo, Dito Putro
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.v3i1.1697

Abstract

E-commerce or often referred to as an online shop is the latest trend of the community in carrying out shopping activities, first before the rise of e-commerce companies like today the community to meet their needs still rely on distros around the customer lives, or to a shopping place but now it has switch to shoop online. The advantages offered by online shoop are the relatively low prices, no need to shop locations, and guarantee goods, it has an impact on retail shops that are increasingly lonely. Testimonials are one of the techniques carried out to convince customers to shop at e-commerce they have, testimonials are the responses of buyers for their experience of shopping in an e-commerce application starting from the payment process until the goods are received, the more positive experiences conveyed in the testimonials, the customer who have not shopped on an e-commerce application will be more convinced to shop. Testimonials on an e-commerce application are not always positive, there are times when testimonials are delivered by negative buyers. The customer's problem is the unavailability of percentages or information on the number of buyers with positive and negative shopping experiences because in general testimonials are only delivered in the form of a list.Keywords:  Testimonial Analysis, Text Mining Algorithm, Term Frequency-Inverse Document Frequency (TF-IDF)
PERANCANGAN PADUAN SHALAT DALAM BENTUK MEDIA INTERAKTIF Stefvany Stefvany
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.v3i1.1571

Abstract

The high development of knowledge and technology, especially in computer. Nowadays, the most media that are commonly used to learn how to shalat and it’s doa is book that included picture, even there is so many guide books to shalat, the willingness to shalat for children are still under- expectation. The previous learning media is ineffectiveTherefore, we will make learning media as interactive media which include the guide to shalat for children to learn about more interactive guide to shalat that more interested than it’s visual and to increase children’s interest to shalat. In this research, writers use SWOT analysis method.Using this analysis method, the result will be interactive media that will be applied toelectronic media such as computer and laptop. That will be title as “Yuk Belajar Shalat bersama Calief dan Ara”. This media will also provide using Poster, Flayer, X-Banner, Key Chain, Sticker, Mousepad, Coloring Book and Shalat Wears.Keywords: Prayer Guide, Interactive Media.
APLIKASI PENAJAMAN CITRAA STREET VIEW MENGGUNAKAN METODE GRAMD SCHMIDT SPECTRAL SHARPENING DAN HIGH PASS FILTERING Erna Verawati; Surya Darma Nasution; Imam Saputra
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.v3i1.1584

Abstract

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.
Implementasi Algoritma Ripemd160 Untuk Mendeteksi Keaslian Sertifikat Tanah Joslin Nababan; Pristiwanto Pristiwanto; M Sayuthi
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.v3i1.1603

Abstract

In this era, land certificates are often used as collateral to apply for loan money, both directly and online, so the security of land certificates needs to be improved. Land certificates in digital form, the manipulation process is very easy. Today there is a lot of software that can be used to manipulate digital images. With the sophistication of the software it can make manipulated digital images difficult for humans to know directly. The process of manipulation of digital data is also easy to do, so it needs a mechanism to know that a digital certificate, does not change from the original. In cryptography, there are various methods that can be used to secure a data, both to maintain the confidentiality of the data, and detect the authenticity of the data. One technique that can be used is the hash function in cryptography. The hash function is a one-way function that can be used to determine the authentication of a message. To ensure an original document or not, there are several methods with the concept of authentication, and can detect document changes from the results of manipulation, one of which is the RIPEMD160 algorithm. Applying the RIPEMD160 algorithm will make it easier and faster to detect the authenticity of digital images.Keywords: cryptography, Hash Function, RIPEMD160
IMPLEMENTASI ALGORITMA KNUTH MORRIS PRATT PADA APLIKASI SINOPSIS FILM BIOSKOP BERBASIS WEB Nia Novianti; Ricky Crist G Imanta Kembaren; Dessy Milbina Br Bangun; Nasib Marbun
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.v3i1.1619

Abstract

Synopsis of cinema films is a description that illustrates the storyline of a film that will be screened on a bisocope with a brief study but can convey information related to the outline of a cinema film story that will be played on a bisocope. The number of synopsis of cinema films that are stored in the database of a system affects the use of time and space needed in the process of searching synopsis data. Synopsis search for cinema films can not be separated from the existence of string matching to match keywords searched with cinema film data stored in the database system, the better the way the string matching algorithm is applied to the search feature in a system, the easier it is for users to find data synopsis of cinema films sought. Knuth Morris Pratt uses the stage of shifting text patterns from left to right in the process of matching strings in text if there is a mismatch between the character pattern and the text character. In this study the Knuth Morris Pratt algorithm is used to make it easier for users to find synopsis data of cinema films that are searched according to the keyword searches performed on the search feature in the system.Keywords: synopsis, movie theaters, String Matching, Knuth Morris Pratt
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BALITA SEHAT SE-KECAMATAN SEI LEPAN MENGGUNAKAN METODE MULTI ATRIBUTTE UTILITY THEORY (MAUT) (STUDI KASUS: PUSKESMAS DESA LAMA) Septia Fajarika
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.v3i1.1635

Abstract

All hopes parents want a healthy toddler, but not all parents, especially mothers, understand about toddler health, how to care for toddlers, nutritional intake or nutritional quantities for toddlers, not all parents, especially mothers, understand that, so this causes toddlers to not get good health and an adequate dose of nutrition from mothers.To overcome the above problems, the Old Village Health Center made a selection program for healthy toddlers from Sei Lepan sub-district in order to help mothers understand more about toddler health, about the nutrition intake of toddlers and also so that the Old Village Health Center knows how many healthy toddlers there are in the District Sei Lepan, but the selection is still manual which requires a very long time.In order to avoid the above problems, it is necessary to build an application for a Healthy Toddler Selection Decision Support System in Sei Lepan District by using the Multi Attribute Utility Theory (MAUT) method, so that it can help the Old Village Health Center in the assessment process to make it more accurate and the decisions made are satisfactory.Keywords: Decision Support System, Healthy Toddler Selection, MAUT Method.
PENERAPAN METODE K-MEDOIDS CLUSTERING PADA PENANGANAN KASUS DIARE DI INDONESIA Fitriani Hardiyanti; Heru Satria Tambunan; Ilham Syaputra Saragih
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.v3i1.1666

Abstract

Diarrhea is a condition in which a person defecates in a runny or liquid form and occurs repeatedly. Diarrhea can cause the loss of large amounts of water and substances needed by the body. Diarrhea is one of the health problems in developing countries, especially in Indonesia both in urban and rural areas. Diarrhea morbidity rates around 200-400 occurrences among 1000 residents each year. Thus in Indonesia there can be around 60 million incidents each year, most (70-80%) of these sufferers are children under five years (BALITA). Some patients (1- 2%) will fall into dehydration and if not immediately helped 50-60% of them can die. This group experiences more than one incidence of diarrhea every year. K-Medoids Algorithm Clustering is one of the algorithms used for to group data.Keywords: Data Mining, K-Medoids, Clustering, Diarrhea
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN) Sinaga, Dicky Hartama; Tambunan, Heru Satria; Jalaluddin, Jalaluddin
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.v3i1.1691

Abstract

Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor
PERBAIKAN KUALITAS CITRA MAPS MENGGUNAKAN METODE CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION (CLAHE) Dian Lestari Nasution
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.v3i1.1566

Abstract

Map images that are on Google Maps can also be screenshooted, when taking image maps / maps the image quality is not optimal, this is because the ability of the computer used to take the image does not support high graphics. This map image can be used as material for the purposes of work that uses images such as graphic design, namely printing.The ability of computers that do not support large graphics processing in getting a good image is not a major problem in image improvement. Because the image that is not maximized, its color elements can be manipulated with digital image processing techniques, one of the methods for manipulating elements of image colors is the CLAHE method. The CLAHE method is applied and calculates the pixel values that exist in each RGB layer. In the field of graphic design images that have less intensity can be improved by increasing contrast. Image contrast enhancement can be done by the CLAHE method.Keywords: Maps Imagery, Contrast, CLAHE
IMPLEMENTASI DATA MINING DENGAN METODE REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI DATA PERSEDIAAN BUKU PADA PT. YUDHISTIRA GHALIA INDONESIA AREA SUMATERA UTARA Indah Lestari Lumban Gaol; Sinar Sinurat; Edward Robinson Siagian
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.v3i1.1579

Abstract

PT. Yudhistira Ghalia North Sumatra. Where Inventory (stock) of goods is an important thing in a company for data collection or checking activities in order to find out the amount of goods that are used up and goods that will be needed in a company. Inventory of goods is always needed in company activities. So that in the supply of books has been delayed for making stock and excess stock making of books. In this study, multiple linear regression method will be used to predict book inventory data. So for that we need to predict book inventory data for the future how many books should be in stock. Multiple linear regression algorithm has advantages such as generalizing and extracting from certain data patterns, being able to acquire knowledge even though there is no certainty, and being able to do calculations in parallel so that the process is shorter. After being predicted, it will be possible to produce results that can be used in the future so that it can help PT. Yudhistira especially the part of the inventory of goods which must be provided in the following month.Keywords: Data Mining, Inventory, Multiple Linear Regression Algorithms

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