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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 33 Documents
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Search results for , issue "Vol 6 No 1 (2023)" : 33 Documents clear
ESTIMASI HARGA SEWA ALATBERAT MENGGUNAKAN LINEAR REGRESSION PADA PT FANBEL JAYA BERSAMA Deason Tanduri; Tri Agus Setiawan
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.v6i1.733

Abstract

PT Fanbel Jaya Bersama is a company engaged in the construction sector, especially heavy equipment rental. The rental price of PT Fanbel Jaya Bersama needs to be implemented to process heavy equipment rental data using a linear regression algorithm. This study uses a simple linear regression method to find the estimated price that is rented out to consumers. For deployment using a chatbot that displays estimates and data in the form of descriptions of suitable datasets displayed to consumers. In this study, 2 independent variables were used, namely the unit of minutes of rent (X) and the dependent variable, namely the rental price (Y). From the 9 processed data, the RMSE value is 3100946.073781. From this study the linear regression algorithm is accurate and precise. The results of this study display prices that have been predicted by chatbots for consumers who want to look for heavy equipment. Further development will be promoted through the website with the same simple linear regression method and more data from other universities.
PENGOLAHAN DATA EKSPOR TERHADAP RAGAM PRODUK KELAPA SAWIT MENGGUNAKAN METODE ASSOCIATION RULES Robert Robert; Siti Aisyah; Sasmita Rahmawati Zebua
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.v6i1.735

Abstract

Palm oil is used as a raw material for producing cooking oil, industrial oil, and fuel. Indonesia is the largest producer of palm oil in Indonesia. One of a company engaged in the production of palm oil is PT Permata Hijau Group. The company produces a wide range of palm oil products from from Palm Oil, Lauric Oil, Biodiesel, and Fatty Acid Oleo. Look at the variety of products palm oil marketed by PT Permata Hijau Group, it is necessary to do so decision making on palm oil product data. Data mining is applied using the Association Rules method to get support and confidence values, where export data processed using this method can determine which particular refined palm oil products are best-selling in the international market. With the Association Rules method, it is hoped that it can help provide an overview for a company in determining the amount of production of certain types of refined palm oil, so crises or excesses of certain processed palm products can be avoided. In this study, the results of data visualization using the Python Library (Matplotlib & Seaborn), products with the item set Glycerine→Stearic Acid and Glycerine-RBDPO→Stearic Acid are the combination of Association Rules that appear most frequently, with 100%. Whereas the combination HPKO→Stearic Acid meets the Association Rules with a value of 94%, RBDPO-HPKO→Stearic Acid and Fatty Acid- HPKO→Stearic Acid with 90%, Glycerine→RBDPO, Glycerine→RBDPO-Stearic Acid, and Glycerine Stearic Acid→RBDPO with 88%, HPKS→Stearic Acid and RBDPO-Fatty Acid→Stearic Acid with 83%. Therefore, processed coconut Palm Glycerine, RBDPO, Stearic Acid, Fatty Acid, HPKO, and HPKS is a product that satisfies the rules of the association so this result can assist the company in determining the amount of product production given the demand for a combination of various processed coconut products of the palm oil, is higher than the variety of refined palm oil other products.
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN TERHADAP PENENTUAN PEMINATAN PADA PROGRAM STUDI TEKNIK INFORMATIKA MENGGUNAKAN METODE ARAS Yuyun Dwi Lestari; Arief Budiman; Dedy Irwan
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.v6i1.885

Abstract

The selection of specialization is carried out by students of the Informatics Engineering study program while still in semester 5, namely Multimedia & Computer Vision, Network & Computer Systems, Robotics & Intelligent Systems. The selection of this specialization is carried out by students so that students focus on 1 specialization only and this specialization is carried out based on elective courses, so that students are not wrong in choosing their interests and do not follow the interests chosen by their friends. The purpose of this study is as an alternative to support students to determine the specialization in accordance with the criteria and calculate the value of each criterion to choose an interest and make a decision support for the selection of specialization to help students choose the right specialization according to the criteria quickly and precisely. Therefore, in the selection of student specialization in the Informatics Engineering study program requires a Decision Support System by applying the ARAS method. The results obtained from this study are the specialization of Network & Computer Systems in rank 1 with a value of 0.83554. Multimedia & Computer Vision ranked 2nd with a value of 0.78358. Robotics & Intelligent Systems ranked 3rd with a value of 0.77223. So that the specialization of Network & Computer Systems will be an alternative.
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI TEMPAT KOST UNTUK MAHASISWA DI KOTA SAMPIT Lukman Bachtiar; Fendy Fendy
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.v6i1.833

Abstract

The number of students who want to continue their education makes students even leave their hometowns just to get a better education. This can make students look for a temporary place to live while studying or lecturing. There are several factors that make them prefer boarding houses as a temporary residence. A boarding house is a residence that is rented out to other parties with certain facilities at a more affordable price compared to hotels/inns. The number of boarding houses that offer different prices, facilities and have different locations will certainly make students confused in terms of determining the temporary residence they occupy. So, the decision support system by applying the profile matching DSS method is expected to help solve alternative housing problems for students or the general public. And also, with the results of research conducted can show that the profile matching method has good accuracy in providing boarding options for students. From the results of calculations using 5 alternatives, the highest total value or final value is obtained in alternative boarding house 2 with a total value of 9.398.
PERANCANGAN SISTEM INFORMASI MEDICAL CHECK UP BERBASIS WEB DENGAN FRAMEWORK CODEIGNITER 4 MENGGUNAKAN METODE WATERFALL Luqmanul Hakiym Maulana; Nuril Lutvi Azizah; Ade Eviyanti
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.v6i1.760

Abstract

The purpose of this research is to develop a web-based Medical Check-Up information system using CodeIgniter 4 framework and implementing the waterfall development method. This system is designed to facilitate administrative management and provision of medical services to patients. Rsu Al-Islam Hm Mawardi Krian Sidoarjo currently uses manual methods in the administration of medical check-ups, which poses several risks in data processing between hospital units. Therefore, this research is conducted to address these issues. The waterfall method is used for the system development stages, including requirements analysis, design, implementation, testing, and maintenance. The requirements analysis phase involves identifying needs such as patient registration and examination results. System design includes database structure, user interface, and business logic to be implemented in the system. Implementation utilizes the CodeIgniter 4 framework, which provides tools and features for web application development. The results of this research align with the hospital's requirements, including patient registration, recording, and delivery of laboratory, radiology, and doctor examination results, which have been tested using the black box method. It is expected that this developed Medical Check-Up information system can enhance the efficiency of the check-up process, expedite patient examination access, and improve the overall quality of healthcare services.
KLASIFIKASI DAGING SAPI DAN DAGING BABI MENGGUNAKAN ARSITEKTUR EFFICIENTNET-B3 DAN AUGMENTASI DATA Maulana Junihardi; Jasril jasril; Suwanto Sanjaya; Lestari Handayani; Fadhilah Syafria
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.v6i1.845

Abstract

The increasing demand for beef has made its price soar. the traders then mix beef with pork to get more profit. There is a technology in the field of informatics that can be used to differentiate beef, pork and mixed meat. This research was conducted to find out the difference between beef, pork and mixed meat. In this study, a deep learning convolutional neural network with the EfficientNet-B3 architecture is used for image identification to distinguish between beef and pork. 9000 images have been divided into three categories: mixed meat, pork and beef. This study compares the classification results using original data and data augmentation. The data augmentation models used are brightness, rotation, and horizontal and vertical inversion. Data is split 80:20 and 90:10 for training and testing respectively. The best results are achieved by using a division ratio of 90:10 on image data with augmentation which has a learning rate of 0.01 and Adamax Optimizer which has accuracy, precision and recall levels of 98.66%, 98.67% and 98.66%.
ANALISIS DATA MINING UNTUK PENGARUH KUALITAS PELAYANAN, PENGIKLANAN, DAN HARGA TERHADAP KEPUTUSAN KONSUMEN DALAM MEMILIH PENJUAL ONLINE Elfrin Hulu; Yonata Laia; Naomita Sihombing; Wandry Sitorus; Yuliani C. Simanjorang
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.v6i1.878

Abstract

Almost everyone uses this buying option when selling online, for example, home appliances, fabrics, and many other products sold online. Some consumers complain that the service is still ineffective, and scams pretending to sell products sold through the site are common. As this study shows, many of the jobs humans do today can be done by computer systems. This study explores how to identify optimal online sales sites using the K-NN method. The aim is to prevent consumers from making mistakes when shopping online. It is hoped that this system will help visitors find simple and useful websites. All human activity must be innovative. This research has solved this problem and enabled the construction of an easy-to-use system. Based on calculations of load speed 2, page structure 3, interesting titles and content 4, short and recognizable links 5, and the results are useful.
PENERAPAN DATA MINING UNTUK MENENTUKAN PEMBERIAN BANTUAN KELOMPOK TANI MENGGUNAKAN ALGORITMA C.50 PADA DINAS PERKEBUNAN SUMATERA UTARA Saut P Tamba; Jodi Daniel Pransisko Manalu; Villa Delfya Sarumaha; Erika Girsang; Verli Vernando S Colia; Putra Edi Mujahid
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.v6i1.890

Abstract

The Plantation Service is an implementing element of the regional autonomy of the Provincial Government led by a head of service who is domiciled under and responsible to the governor through the regional secretary. The duties of the plantation office include carrying out the function of formulating policies in the fields of plantation production, plantation protection, farming, plantation business facilities, licensing implementation, guidance, assistance in the plantation sector. The plantation office is ready to grow young agricultural entrepreneurs by providing business capital assistance to the community and farmer groups every year. With the existence of farmer group capital assistance, it will create more young farmers who will change the image of farmers, farmer group assistance is one of the activities in order to realize the regeneration of farmers designed for the development, skills, and entrepreneurial spirit of the younger generation in agriculture. problems that occur in providing farmer group assistance, one of which is still the provision of assistance that is not on target, causing the provision of assistance not to people who need help, so that the utilization of this assistance is not optimal. In addition, the provision of assistance is done manually, making it less efficient in any way. To overcome these problems, a system is needed that can help assess real and objective prospective beneficiaries. This assessment uses calculations based on the criteria for prospective beneficiaries with the highest ranking system. In this system, the calculation is done using datamining with the C5.0 algorithm. In testing the methods and algorithms in this study, it produces a decision tree with the first root of information and technology services, then the next root is bookkeeping administration, then the last rood is routine meetings. With the root, researchers can decide which farmer groups receive assistance. the results of the decision tree are implemented into the RStudio programming language.
ANALISA DATA MINING ASSOSIASI FP-GROWTH PADA PENJUALAN PRODUK DI TOKO RITEL AGUNG Subagja Putra Pratama
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.v6i1.744

Abstract

Quick decision-making based on data, facts, and knowledge has become a necessity for companies in implementing strategies to increase competitiveness. To create a fast strategy with measurable analysis, one can use sales data mining techniques from time to time. The research was carried out using the fp-growth association data mining method and the RapidMiner application as a mining tool for processing sales data for a one-year period (June 2021 - May 2022) with a total of 13734 sales transactions and a total of 49360 records. Data mining in this study resulted in 6 rules association with a minimum support value of 0.001 and a minimum confidence value of 0.01 and produced the 42 lowest association rules with a minimum support value of 0.001 and a minimum confidence value of 0.5. The discovery of the association rules can be used as a consideration in making product sales strategy decisions quickly and accurately so that companies can increase sales and competitiveness.
PENERAPAN METODE FORCASTING DALAM MENENTUKAN JUMLAH SISWA BARU MENGGUNAKAN ALGORITMA SIMPLE LINEAR REGRESSION Tajrin Tajrin; Mohammad Irfan Fahmi; Maikel Felix Ginting; Unika Nduru
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.v6i1.880

Abstract

New student admission is a school activity to recruit new prospective students that occurs regularly every year even in the middle of the teaching year. Madrasah Tsanawiyah (MTs) Al-Ittihadiyah is a school under the auspices of the Ministry of Religion. Where every year the school always accepts a fairly large number of new students around 300 people. This results in the school always having difficulties in preparing infrastructure facilities such as classrooms and teachers because the increase in the number of new students increases every year. This will happen repeatedly in schools from year to year. So that it will be an accumulation of data every year to help transform data into data information into useful information. This large amount of data opens up opportunities to generate useful information for schools. In this study, researchers see an opportunity to create a new technology that answers the needs and problems that have occurred so far. In determining the number of new students at MTs. Al-Ittihadiyah Pkl. Masyhur researchers used 2 dataset scenarios where scenario 2 datasets used a simple linear regression algorithm. In pre-processing data that produces prediction performance, namely Y = 71.9538 + 0.709269X, in the dataset for forecasting estimates for the number of new students if the registrant is 374 students, it will produce a prediction of new students of 337 students.

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