cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sarida Sirait
Contact Email
saridasrt@gmail.com
Phone
+6281319494217
Journal Mail Official
saridasrt@gmail.com
Editorial Address
Jl. Sriwijya No. 9 C-E Pematangsiantar, Sumatera Utara
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
Jurnal Tekinkom (Teknik Informasi dan Komputer)
Published by Politeknik Bisnis Indonesia
ISSN : 26211556     EISSN : 26213079     DOI : https://doi.org/10.37600/tekinkom
Core Subject : Science,
Computer Science & IT
Jurnal TEKINKOM merupakan jurnal yang dimaksudkan sebagai media terbitan kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai isu Ilmu - ilmu komputer dan sistem informasi, seperti : Pemrograman Jaringan, Jaringan Komputer, Teknik Komputer, Ilmu Komputer/Informatika, Sistem Informasi, dan Multi Disiplin Penunjang Domain Penelitian Komputasi, Sistem dan Teknologi Informasi dan Komunikasi, dan lain-lain yang terkait. Artikel ilmiah dimaksud berupa kajian teori (theoritical review) dan kajian empiris dari ilmu terkait, yang dapat dipertanggungjawabkan serta disebarluaskan secara nasional maupun internasional.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 407 Documents
 13   14   15   16   17 
IDENTIFIKASI NILAI ESENSIAL DARI OUTLIER NON-EXTREME MENGGUNAKAN METODE MINIMUM VOLUME ELLIPSOID Risna Yuliani
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.572

Abstract

In many cases, outliers are considered to have a negative effect because they can cause the test to miss significant findings or distort the results in the data. Outliers are often discarded because they are considered an anomaly. Currently, some outliers carry essential information that cannot be discarded immediately. This study uses the Minimum Volume Ellipsoid estimator to treat the identified outliers differently. In this study, strong evidence was found that outliers do not have a completely negative connotation. Outliers should be treated differently because they carry essential information. This observation namely non-extreme outlier. The case study in this research uses house advertisement data from 5 districts in North Kalimantan and Berau district in East Kalimantan. The house in Tanjung Selor, Bulungan Regency, North Kalimantan, and Jalan Purnawirawan No. 21, RT 06, Karang Anyar, West Tarakan are suspected to be non-extreme outliers.
PENERAPAN DATA MINING UNTUK PENGELOLAAN DATA REKAM MEDIS MENGGUNAKAN METODE K-MEANS CLUSTERING PADA RUMAH SAKIT ROYAL PRIMA MEDAN Winda Nia Purba; Gamaliel Armando Sembiring; Mawar Theresia Turnip; Andreas Saputra; Ben Jua Ivand Manihuruk
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.857

Abstract

In this digital era, medical record data in hospitals has grown to be very large and complex. This medical record data includes information about the patient, diagnosis, treatment, and other medical history. Efficient and effective management of medical record data is essential to improve the quality of health services, appropriate decision-making, and medical research. This study uses data mining techniques with the K-Means Clustering method to cluster patient medical record data. Cluster 1 consists of 1827 people suffering from Emergency, Orthopedics, Obgyn, Internal Medicine, Pulmonary, NICU/PISU, Heart Disease, Perinatology, Neonatal and Growth and Development, Obstetrics Oncology, as well as male and female 9227 and 8990 respectively. Cluster 4 consists of 417 people who suffer from Urology, ENT, General, Neurology, Rheumatology diseases, and the male gender is 195 people and the female gender is 112 people. by using data mining, researchers can find new information about how royal prima medan hospital manages various types of care. Researchers hope to be a reference for hospitals, to be able to socialize and prevent sources of disease based on gender and treatment.
ANALISIS MACHINE LEARNING ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI SAHAM DI BANK BRI DI BURSA SAHAM INDONESIA Yenni Syahfutri Sipahutar; Ibnu Rasyid Munthe; Syaiful Zuhri Harahap
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.747

Abstract

Stocks are securities that have fluctuating characteristics. Therefore stock predictions are needed to determine stock prices in the future. The data used is actual data obtained from the Indonesian Stock Exchange. This study uses the CRISPDM model and uses the Linear Regression method in processing the data. Data processing is carried out using several techniques, namely manually (exel) and by application testing. The application used is Rapid Miner. And after testing, get the test results of a difference of 0 to 3%. And get a root mean square error (RMSE) value of 62.592. and based on the research, it was decided that the share price on January 4 2021 - December 9 2022 will experience stock price fluctuations in the future with a difference of 0 to 3% from the previous share price.
PENERAPAN DATA MINING METODE APRIORI DALAM ANALISIS KECENDRUNGAN PEMBELIAN KONSUMEN GROCERY SHOP Erlin Elisa; Tukino Tukino; Koko Handoko
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.817

Abstract

Wholesale stores are a promising retail business today, judging from the movement of their businesses which are increasingly loved by the public because prices are relatively cheaper compared to supermarkets, supermarkets and minimarkets, this business must be able to meet consumer demand so that they are not inferior to similar businesses, including In managing the placement of types of goods on shelves, so far transaction data has been left unattended without being utilized to obtain new information. This study aims to apply the Apriori algorithm datamining technique in analyzing consumer purchasing tendencies at one of the Grocery Shops in Cipta Asri housing, the method used is an in-depth analysis of customer transactions on data that is already owned and data comes from various sources of information. The results obtained from processing sales transaction data in the form of itemset with the application of the concept of datamining association analysis are known to have a support value of 20% and 80% confidence, the results obtained where the combination of goods that are often purchased with Milk, Rice and snacks with each support value of 22.39 %, 83.33% confidence then Rice, Soft drink and Snack support value of 20.90%, Confidence 73.68%.
PENGONTROLAN LAMPU DENGAN ANDROID BERBASIS MIKROKONTROLER VIA HOTSPOT MENGGUNAKAN VOICE RECOGNITION Yusran Yusran; Dwi Winarti; Ellbert Hutabri; Koko Handoko
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.827

Abstract

Smart living is a living concept that is based on practicality and efficiency but still upholds comfort. In line with the high mobility of big city people who have a fast-paced and practical lifestyle, smart living is the solution, especially by utilizing technology in housing. One of the uses of residential technology is controlling lights using hardware and designing software using the Arduino IDE so that later the lights can be controlled using a smartphone owned by the user using voice recognition. Voice recognition is the concept of controlling electronic equipment using the user's voice. The application of this control system becomes more efficient in saving time and effort because you don't have to walk to every room to turn off or turn on the lighting, users can use the Google Assistant application on an Android-based smartphone with the turn on the light one command. The results of the designed tool are able to provide practicality and efficiency for its users because it can control the lights remotely.
ANALISIS METODE TREND MOMENT DALAM FORECASTING UNTUK MEMPREDIKSI JUMLAH PENJUALAN PADA RESTORAN AYAM GEPREK GOKIL Rizky Prayoga; Anita Anita; Josua Silaban; Saut Parsaoran Tamba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.892

Abstract

Predictions are things that might be done so that actions taken in the future are more effective and efficient. Predictions in sales are absolutely necessary so that companies / institutions can avoid big losses. Gokil Chicken Resto is a company engaged in the culinary field. Even though it is a Resto brand, it must have a business license in the form of a CV so that it can be said to be a company. The Gokil Chicken Resto has a problem, namely in the loss of procuring raw materials to be produced in a culinary menu called Gokil Geprek Chicken. In a condition, sometimes the procurement of these materials will be left quite a lot or even run out. This causes losses in terms of cost and also consumer disappointment as well. For this reason, research is needed in the form of sales predictions so that it can help minimize losses by procuring materials that are more effective and efficient. This study uses the trend moment method in analyzing sales to produce predictive numbers. The method of precise prediction accuracy uses MAPE (Mean Absolute Percentage Error). The accuracy of the prediction accuracy obtained is 99.36%.
IMPLEMENTASI FRAMEWORK COBIT 2019 PADA AUDIT TATA KELOLA SISTEM INFOMASI PADA DINAS PENANAMAN MODAL DAN PTSP KOTA X Ni Luh Putu Yuliandri; I Gede Putu Krisna Juliharta; Ni Made Estiyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.713

Abstract

Investment Service and PTSP City X information technology governance audit aims to map the maturity level of IT processes. Information system governance should be evaluated to determine the institution conditions regarding IT performance management to control quality. The framework is one that can assist in assessing the performance of the underlying information technology. The development of information system governance is supported by a governance information system framework. The audit in this study uses the 2019 COBIT framework which focuses on the use of IT systems, the maturity level of available services, and administrative services through information systems. Based on the maturity obtained, the EDM04, APO07, APO11, and DSS03 processes are carried out. The EDM04 process is at level 3 (established process), APO07 is at level 2 (managed process), APO11 is at level 2 (managed process), and DSS03 is at level 4 (predictable process) with an average capability gap of 2.25. The results of these procedures can be said that the services provided by Investment Service and PTSP City X have been carried out with largely achieved status, but not yet in the best condition, allowing for the implementation of suggestions and improvements as well as the level of ability to be measured again as a comparison tool.
PENERAPAN DATA MINING CLASSIFICATION UNTUK DATA PASIEN COVID- 19 MENGGUNAKAN METODE NAÏVE BAYES Tessalonika Siahaan; Yonata Laia; Manusun Silitonga; Friska Claudia Pasaribu
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.879

Abstract

Covid-19 is an infectious disease caused by a new coronavirus discovered in 2019, hereafter Sars-Cov 2 (Severe Acute). Coronavirus Respiratory Syndrome 2). This virus is very small in size (120-Knowledge is participants' understanding of a given topic. Knowledge is the ability to receive, store and use information, influenced by experience and skills. This research creates a system that can help anyone who wants to know what causes are behind the increasing spread of bacteria in the form of viruses. Therefore, it is necessary to find out what factors have caused the increase in the number of people infected with this deadly virus. Using the Naive Bayes method, researchers identified the factors causing the increase in the number of medical records for Covid-19 patients. The results obtained are based on attributes that have values, so the Bayesian value is 19.8714.
SISTEM INFORMASI MANAJEMEN MLIJO BERBASIS WEBSITE DAN MOBILE Fery Febbyanto; Irwan Alnarus Kautsar; Uce Indahyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.825

Abstract

The term "Bakul Mlijo" is used by the people in Mojokerto to refer to itinerant vegetable traders because they generally use carts or baskets (baskets) as a place to put their wares. The term "Mlijo" probably comes from the Javanese language which means "profit". Mobile vegetable traders are a retail business that is included in the non-store retailer category (direct selling) which sells basic necessities such as vegetables, fruits and fish which are sold directly to the end consumer. The main purpose of development research is the development of new products or innovations and their effectiveness in achieving the goals set. Therefore, the R&D method is a very useful research method in product or tool development, including in tool design research and tool testing as described in the question. Bakul Mlijo uses information system technology for customer satisfaction. Mlijo customers shop easily and without much time and can make purchases using payment methods. This system can facilitate mlijo operations such as answering questions about prices and so on, because all information related to goods has been prepared in the mlijo application. This research contributes to the development of services to customers and facilitates the marketing of Bakul Mlijo merchandise.
PREDIKSI MATA UANG KRIPTO MENGGUNAKAN METODE ALGORITMA LINEAR REGRESSION Matthew Oullanley Lee; Delima Sitanggang; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.757

Abstract

Cryptocurrencies are advanced monetary standards planned to operate as a medium of exchange over a arrange that's free of a central specialist, such as a government or bank. Cryptocurrencies have a tendency for price changes to occur which fluctuate like conventional currencies which can cause shifts in the market. This shift can affect cryptocurrencies, especially asset owners. The goal in this research is to predict data and provide accurate results to help cryptocurrencies players. In the process, web scraping is used to retrieve data This study will visualize the data in the form of a line chart by employing the linear regression algorithm to forecast the price movement of cryptocurrencies. nonetheless, digital forms of money costs can't be isolated from outside elements, for example, the conversion standard of rupiah against unfamiliar monetary forms. There are a lot of influencing factors, like when there is more demand than there is supply. The rise in bitcoin's price from $ 19,616.81 to $ 25,995.91 is evidence of this. A rise in market capital from $ 375,367,382,007.85 to $ 504,341,343,850 also helped. A cryptocurrency's demand is proportional to its market capitalization, which indicates how dominant it will be in the stock market. The daily return is another indicator that cryptocurrency movements can be either positive or negative.

Page 15 of 41 | Total Record : 407

 13   14   15   16   17 

Filter by Year

2018 2025


Reset
Filter By Issues
All Issue Vol 8 No 1 (2025) Vol 7 No 2 (2024) Vol 7 No 1 (2024) Vol 6 No 2 (2023) Vol 6 No 1 (2023) Vol 5 No 2 (2022) Vol 5 No 1 (2022) Vol 4 No 2 (2021) Vol 4 No 1 (2021): Jurnal Tekinkom Vol 3 No 2 (2020) Vol 3 No 1 (2020) Vol 2 No 2 (2019) Vol 2 No 1 (2019) Vol 1 No 2 (2018) Vol 1 No 1 (2018) More Issue