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INDONESIA
Jurnal Komtekinfo
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 23560010     EISSN : 25028758     DOI : DOI: 10.35134/komtekinfo.v9i2.1
Core Subject : Science,
Computer Science & IT
Software Engineering, Multimedia, Artificial intelligence, Data Mining, Knowledge Database System, Computer network, Information Systems, Robotic, Cloud Computing, Computer Technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 253 Documents
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Metode Pose to Pose Untuk Perancangan Animasi 3D Islami “Ghibah” Imroatus Tsaany Maghfira; Alroy Rasyid Resan; Firyal Nabila Zalfa; Naufal Bakhtiar Ismail; Veri Verdiansyah; Juniardi Nur Fadila; Fresy Nugroho
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.473 KB) | DOI: 10.35134/komtekinfo.v9i2.275

Abstract

In the world of technology and information, the application of technology in terms of visualization on computer graphics is very useful. From all walks of life, especially children, they can learn something Islamic to help study religion, one of which is through an interesting 3D animation. So that the animation movement is smooth and looks real can be done by various methods. In this study, one method is used, namely, the pose to pose method in an Islamic 3D animation design entitled "Ghibah!". The pose to pose technique is a method used in the animation process. The pose to pose method implements basic human movements in 3D animation so that the animation looks real. The design of 3D animation for making characters will use make human tools more often, which will then be imported into Blender software to be designed as a whole.
Analisis Metode Weighted Product dalam menentukan Order Barang Terbaik pada Marketplace Shopee Dodi Guswandi; Hadi Syahputra; M. Hafizh; Rita; Devia Kartika
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.644 KB) | DOI: 10.35134/komtekinfo.v9i2.277

Abstract

Ordering goods online on the Marketplace is a very popular public habit today because it is very easy to use which can save time, cost, and effort. One of the most visited Marketplaces by customers is the Shopee Marketplace, in this Marketplace, many customers have difficulty determining the best item because the same item is available in several stores with different characteristics, so many ordered items do not match what they expect. This study aims to apply an analytical model in determining the best order for goods on the Shopee Marketplace using a Decision Support System (SPK) with the Weighted Product (WP) method. The performance of the WP method is able to perform weighted multiplication on each criterion after being ranked and the decision results in the form of ranking produce solutions in determining the best order for goods on the Shopee Marketplace. The criteria used to consist of Price (C1), Product Quality (C2), Online Customer Reviews (C3), Number of Goods Sold (C4), Delivery Time (C5), Payment System (C6), and Shipping Discounts (C7). The results of this study which are presented in the performance of the WP method are able to determine the highest value of goods in several stores in the same type of goods, after the ranking results, namely Item A, Store 5, get a value of 0.130237 as the best order of goods.
Hybrid Data Mining berdasarkan Klasterisasi Produk untuk Klasifikasi Penjualan Dewi Eka Putri; Eka Praja Wiyata Mandala
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.467 KB) | DOI: 10.35134/komtekinfo.v9i2.279

Abstract

Sales at minimarkets have had ups and downs since the Covid-19 pandemic. In this study, the problem was found, namely the number of products in minimarkets that were not sold or vice versa, there was a demand for products, but they were not available in minimarkets. Data mining can be a solution to solving this problem. This study proposes a hybrid data mining method by combining the K-Means and K-Nearest Neighbors algorithms. The combination of this method works in two stages, namely clustering the products sold which are then continued by classifying the sales of these products. The data used in this study is data for toiletries and washing products as many as 20 products. From the results of research conducted, there are 14 products that have many enthusiasts from 20 products. Of the 14 products used as training data, a sales classification was carried out for 1 new product with stock criteria 200, sold 100, and price Rp. 10,000. From the test results, the new product classification is High Sales with accuracy in the classification reaching 85.7143%. The use of a hybrid method between the K-Means and K-Nearest Neighbors algorithms has a significant influence in determining the classification results. For further research, it is recommended to have a prediction process from the classification results that have been found, so that they have a greater influence on the use of this hybrid data mining method.
Pengembangan Ekstraksi dalam Identifikasi Kelainan Gigi pada Citra Dental X-ray imaging (DXRI) Sumijan
Jurnal KomtekInfo Vol. 9 No. 1 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.525 KB) | DOI: 10.35134/komtekinfo.v9i1.283

Abstract

Dental X-ray imaging (DXRI) has been developed as a basis for dental professionals and professionals around the world to assist in detecting abnormalities in tooth structure. The results of the radiographs assist the imaging assessment to provide a thorough clinical diagnosis and preventive examination of the tooth structure. However, the results of the image analysis from DXRI are not sufficient, it is still necessary to use image processing and analysis methods to extract relevant information. The purpose of this study was to analyze the image of teeth on Dental X-rays by using the image extraction method. The results of this study were able to identify abnormalities in the teeth with a high success rate, namely an average of 83.33% based on testing of 10 dental images. The results of the development of the algorithm have been able to provide optimal results in identifying abnormalities in normal and abnormal teeth. Overall, the results of this study can be used as a medical reference for further medical treatment for dental abnormalities.
System Perancangan dan Pembangunan Sistem Pengelolaan dan Pelayanan Informasi Publik Bawaslu Kabupaten Kotawaringin Timur Arindya Khauli; Eka Prasetya Ningrum
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.035 KB) | DOI: 10.35134/komtekinfo.v9i2.287

Abstract

Pelayanan Permohonan Informasi Publik (PPID) Bawaslu saat ini masih dilakukan dengan menggunakan buku registrasi melalui googlesheet dalam melakukan rekapitulasi data. Proses ini memiliki tingkat kesalahan yang cukup tinggi seperti redudansi data terhadap sebuah pendataan. Penelitian ini bertujuan untuk merancang dan membangun sebuah sistem PPID unuk melakukan proses pengolahan guna mempermudah pemohon dalam mengajukan permohonan informasi publik. Proses yang diharapkan dengan adanya sistem informasi PPID juga mampu meminimaliris kesalahan serta kendala dalam mengelola informasi publik dan dapat menyimpan dokumentasi lebih baik. Metode perancangan dan pembangunan sistem menggunakan metode DSDM (Dynamic System Development Method). Metode ini bekerja secara optimal dalam menentukan sistem yang akan dibangun telah sesuai dengan yang diharapkan. Tahapan penelitian metode DSDM dilihat berdasarkan pelaksanaan kegiatan yang telah berjalan sesuai dengan waktu dan anggaran biaya serta hasil keputusan yang didapat berupa sistem pengelolaan dan pelayanan informasi publik. Hasil penelitian ini menyajikan sebuah sistem yang dibangun dengan metode DSDM yang mengadopsi pemograman berbasis web mampu melakukan proses pengelolaan sebuah informasi public. Kinerja metode DSDM mampu mengutamakan keterlibataan pengguna secara berkelanjutan dengan pendekatan pengembangan secara berulang dan bertambah terhadap perubahan untuk membangun sistem perangkat lunak yang memenuhi kebutuhan bisnis tepat waktu dan tepat anggaran
Rekayasa Sistem Informasi Penjualan Suku Cadang Menggunakan Metode Up Selling Muhammad Amrin Lubis; Hesty Aisyah; R Rismayenti; S Suardinata; Rusli Saputra
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i1.193

Abstract

Technological advances are always developing, especially in the field of utilizing computers both in terms of hardware and software. The use of technology in sales activities is expected to increase the number of sales and profits. Fauzan Motor store in its business activities still does not have an integrated system so that in running its business there are still many shortcomings such as the slow delivery of new products to customers, so that customers are only glued to one product. Lack of information obtained by customers causes low sales. Mala conducted this research for the Fauzan Motor store in increasing sales using the up selling method. The system built is a computerized sales system development. The system works by comparing the product that has been selected by the customer with similar products, such as a brand, category with a higher price and quality, one level above the product chosen by the customer. Sales information system development technique using the System Development Life Cycle (SDLC). The programming language used is PHP 7 which is based on Object Oriented Programming (OOP) and JavaScript. Structuring objects using Bootstrap 5 on web pages to make them more informative. This research produces a sales application system that can increase sales turnover. Each customer is given recommendations for several available products so that consumers can choose products according to quality and affordable prices. So this research is very helpful in increasing sales and is more effective in increasing store revenue.
Sistem Pendukung Keputusan dalam Penilaian Karyawan pada PT Tiga Putra dengan Metode AHP Rita
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.302

Abstract

Sistem Pendukung Keputusan (SPK) merupakan alat yang dapat membantu pengambil keputusan dalam membuat keputusan tentang suatu masalah dengan lebih cepat dan akurat. SPK pada dasarnya dapat di implementasikan pada sebuah program komputer yang digunakan untuk menganalisis dan menyajikan data sehingga dapat membuat keputusan dengan lebih mudah. SPK dapat dijadikan sebagai sebuah aplikasi yang dapat menyajikan informasi secara cepat dan akurat. Penelitian ini bertujuan untuk melakukan analisis dengan menggunakan konsep SPK dalam melakukan penilaian terhadap karyawan PT Tiga Putra berdasarkan kinerja metode Analytic Hierarchy Process (AHP). Permasalahan yang terjadi faktanya bahwa penilaian karyawan masih dilakukan secara manual sehingga menyebabkan terjadinya manipulasi dan kesalahan data. Proses analisis dengan metode AHP dilakukan dengan beberapa langkah yakni menyusun hirarki, menentukan prioritas antar kriteria, hingga mengukur konsistensi perbandingan berpasangan kriteria dan masing-masing subkriteria. Kinerja metode AHP nantinya diharapkan dapat membantu pihak HRD pada PT Tiga Putra dalam penilaian terhadap karyawan sehingga kebijakan perlakuan terhadap karyawan bisa lebih cepat, tepat, dan akurat. Hasil penelitian ini menyajikan bahwa kinerja AHP mampu melakukan penilaian karyawan di PT Tiga Putra dengan sajian lebih efektif dan efesien. Hasil ini dapat dijadikan solusi alternatif bagi pihak PT Tiga Putra dalam melakukan penilaian terhadap karyawan
Image Edge Detection Capture Zoom for Facial Recognition Using Gradient Operators Febri Hadi; Sumijan
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.303

Abstract

Imagery on edge detection is a process that will display the edges of an image. Basically, edge detection is one of the techniques for the analysis of image quality in the spatial domain and is also one of the initial process in digital image processing. Edge detection serves to detect the border line of an object contained in the image. This study aims to identify and recognize face pattern objects in the capture zoom image. To perform face identification begins with collecting image data, image processing, image edge detection, thinning of the image, and identification process using the template matching method. The method used in edge detection uses 3 methods, namely Sobel, Roberts and Prewitt which are gradient operators to detect edges in facial images. The dataset used is image capture zoom. The trial was carried out in two stages, namely the identification of the face shape and the identification of the edges of the face. The conclusion of the study is that the Roberts operator is the operator that finds the least edge patterns in facial images than the other two operators, namely Prewitt and Sobel. Meanwhile, the Sobel operator produces edge patterns that are better in quality and quantity than using the Roberts and Prewitt operators.
Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada Febri Aldi; Sumijan
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.307

Abstract

The annual death toll from heart disease is 17.5 million people. Currently, heart disease is a prevalent condition that kills a lot of people and shortens people's lives. Life is based on the work of the heart, since the heart is a much-needed part of our body where life is impossible. Heart disease affects heart function and can lead to death or annoy the patient before deathThe use of contemporary medical imaging methods like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), as well as X-rays, is now commonplace. These methods enable non-invasive qualitative and quantitative assessment of the anatomical structure and function of the heart and support diagnosis, disease monitoring, treatment planning, and prognosis. The purpose of this study is to find heart problems in patients. The data used in this study were chest X-rays of patients with normal heart conditions and chest X-rays of abnormal heart patients obtained from the kaggle website. Segmentation techniques are used to process these cardiac images. Segmentation is the process of separating between an object and another object or between objects and the background contained in an image. Then the calculation of the area of the heart area is carried out using the extraction of morpological and regional features method characteristics with an algorithm that has been developed. The results of this study can identify heart defects through the process of measuring the area of the heart normal and abnormal. So that it produces a good accuracy rate of 85%. This segmentation technique is proven to be very good so that it can be a medical reference to perform further medical actions against abnormalities in the heart.
Metode Certainty Factor dalam Mengidentifikasi Claim untuk Kerusakan Ban Mobil Merek Dunlop Adiddo Restiady; Jufriadif Na’am; Gunadi Nurcahyo
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.313

Abstract

Sistem Pakar secara umum adalah sistem yang berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli.Certainty Faktor merupakan sebuah metode yang dapat melakukan identifikasi dengan memberikan keluaran hasil dalam bentuk persentasi kepastian yang memberikan kepastian untuk menjelaskan hasil penalaran terhadap sebuah pernyataan. Pada Kerusakan Ban faktor-faktor yang menyebabkannya, diman terbagi dalam beberapa tipe kerusakan Retak-retak, Aus Tidak Merata, Ban Me-ledak, Cut Burst, Spot Wear dan Atread Chipping. Sistem Pakar menggunakan metode Certainty Factor yang mana pada penelitian ini Certainty Factor digunakan untuk menetukan besarnya kepercayaan, yang diterapkan dalam penelitian ini untuk menentukan berapa persentase kerusakan yang terjadi. Hasil yang didapatkan dari Sistem Pakar ini adalah berupa kerusakan Ban. Sistem Pakar ini diimplementasikan menggunakan bahasa pemrograman PHP.

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