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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 407 Documents
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DATA MINING UNTUK KLASIFIKASI STATUS PANDEMI COVID 19 Pastima Simanjuntak; Cosmas Eko Suharyanto; Sunarsan Sitohang; Koko Handoko
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.620

Abstract

We all know that since the number of Covid-19 cases has increased in Indonesia, many problems have arisen in society. Covid-19 has crippled the socio-economic conditions of all Indonesian people. As a result of the Covid-19 problem, the Indonesian government must establish policies such as issuing rules for social distancing, and also calling for Work From Home for those who work as employees, imposing restrictions on each region, building hospitals to handle Covid-19, and others. With the existence of government policy decisions will have an impact on all people, both the community. Socio-economic problems arise and have a direct impact on society. The purpose of this study is to prediction the covid 19 pandemic. This study applies data mining techniques with the naïve Bayes algorithm with software implementation using Tanagra software. The results of this study can be used to see the clustering pattern of the Covid 19 pandemic, and it can be seen from the results of the probabilities of the Covid data so far for the spread of Covid 19 which has 90.7% correct predictions and 9.3% wrong predictions.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BEASISWA MENGGUNAKAN METODE ELECTRE Betaria Sonata Sianturi; Volvo Sihombing; Ibnu Rasyid Munthe
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.684

Abstract

This study aims to address the problem of determining whether or not students are eligible to receive scholarships at SMP Pembangunan Bagan Batu. Determination of scholarship recipients is done by building a computer-based decision support system that helps make it easier to determine students who are entitled to get the scholarship. Decision support system built using the Electre method. The criteria used in the DSS Electre Method consist of the Average Student Report Card Score, Total Parental Income, Total Dependents of Parents, Total Achievements of the student with a weight of 3,3,2,2 for each criterion. The final result of the DSS Electre method is a recommendation through favorable matrix data which is determined based on the highest number of 1s. The results of this research case study, alternatives with a value of at least 1 can be eliminated. The biggest score was obtained by Alternative Siswa_01 with the highest score of 1.
IMPLEMENTASI TEKNOLOGI VIRTUAL DALAM VISUALISASI PENGENALAN KAMPUS MENGGUNAKAN WEBVR Yuliana Yuliana
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.623

Abstract

One of the developments from this information is Virtual Reality (VR), a Virtual Web Technology that allows users to interact through an environment on the internet that has been simulated by a computer so that users feel they are in a virtual world. VR technology is becoming the top choice because of how it conveys messages to the environment to attract users.The purpose of this research is to be able to produce virtual web technology-based campus introduction visualizations with website results/output for campus buildings as well as immersive spatial displays and dynamic information. The research began by carrying out the 3D modeling stage using the help of Photoshop, marzipano, 3DVista tools (photos, sketches and 3D objects on one of the campus buildings. The campus building used is the Rectorate Building. Lecture building, Auditorium building. Then the system development is carried out by building data and the room is stored in a database and coded using the PHP programming language. The results of process observations during design, analysis and implementation produce a visualization WebVR Application by displaying information in the form of object, image and video formats. Virtual web technology can provide information related to the environment, campus buildings.
ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH Afluqfy Harahap; Ade Luthfi Ramadhan Perangin-Angin; Kisen Kumar; Saut Parsaoran Tamba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.692

Abstract

Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEREKRUTAN KASIR MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Welfriede Siregar; Masrizal Masrizal; Ibnu Rasyid Munthe
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.685

Abstract

This study aims to solve the selection problem of recruiting employees to be placed in the cashier section at Growmart (Cab. Farming Business) - Bagan Batu Farm Shop. To facilitate the selection of cashiers at this company, it is done by building a decision support system that can help make it easier for companies to select prospective cashiers to be employed at the company. Decision support system built using the Simple Additive Weighting method. The criteria used in the DSS SAW method consist of psychological tests, interviews, health tests, education and work experience. The results of data processing from this research case study, obtained the 3 best cashier candidates with rank 1 is cashier 06 with a value of 1.00890, rank 2 is candidate for cashier 05 with a value of 1.00339, and rank 3 is candidate cashier 02 with a value of 0.99813.
PENGEMBANGAN SISTEM INFORMASI MANAJEMEN LABORATORIUM KOMPUTER UNTUK MENDUKUNG PROSES ADMINISTRASI BEBASIS WEB Wulan Andang Purnomo; Dwi Winarti; Yusran Yusran
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.653

Abstract

The Faculty of Computer Science, Dharmas University Indonesia must have adequate laboratory facilities, this is because the Departments in the Faculty of Computer Science are 60% practice and 40% theory. Currently the facilities owned by this Faculty are quite adequate but administratively they are still not supportive. One of them is the process of borrowing computers, scheduling practices, and processing Inventory data which is still conventional, which is done by recording on a ledger and a piece of paper. If this continues, it is likely that data will easily be lost in the administration of documents and goods data that is not neat. In addition, officers will find it difficult to determine the scheduling of practicum courses. To solve these problems, a web-based laboratory Management Information System was designed to make it easier for workforce officers and lecturers to carry out learning activities and borrow practicum tools. The Waterfall method is used to build this system. The results of the research are web products built using PHP MySQL. Through this system the performance of officers is increasing because officers can manage inventory data, information on incoming and outgoing goods, scheduling courses, borrowing computer workforce facilities easily and quickly.
SISTEM INFORMASI UNTUK MENENTUKAN PENERIMAAN BANTUAN PROGRAM KELUARGA HARAPAN DI KELURAHAN PASAR MERAH TIMUR Silvira Fajar Yanti; Yuyun Dwi Lestari; Dodi Hidayat
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.689

Abstract

The Family Hope Program (PKH) is a social assistance program for underprivileged and vulnerable families by the Ministry of Social Affairs of the Republic of Indonesia with various conditions. This program aims to help the poor as well as a mechanism for social protection and poverty alleviation. The selection process that took place at the Pasar Merah Timur Kelurahan office still had several drawbacks, because the selection process was still manual and there was an element of subjectivity in determining potential PKH beneficiaries, this would result in PKH beneficiaries not being on target. To solve this problem, a web-based information system for determining Family Hope Program Assistance (PKH) was designed. The existence of this web-based system can help make it easier to determine the PKH assistance process using the information system.
IDENTIFIKASI COVID-19 BERDASARKAN CITRA X-RAY PARU-PARU MENGGUNAKAN METODE LOCAL BINARY PATTERN DAN RANDOM FOREST Afifah Amatulla Suaib; Iwan Iwut Tritosmoro; Nur Ibrahim
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.540

Abstract

Covid-19 is a phenomenon that can’t be forgotten by the world. At the end of 2019 in Wuhan, China SarsCov-2 virus was discovered until the World Health Organization declared Covid-19 as pandemic on March 9, 2020. The rapid development and transmission of this virus was overwhelmed. One way to find out someone is positive for Covid-19 is by looking at the X-Ray results of their lungs. The X-Ray results will be analyzed to determine the state of a person's lungs. The method used in this study consists of feature extraction method using Local Binary Pattern (LBP) and classification method using Random Forest. This study uses training data and test data of X-Ray images of the lungs which are divided into three classes that is normal lungs, positive for Covid-19, and Pneumonia. Based on the results of tests that have been carried out using 1,200 images divided into 900 training data and 300 test data, the system can identify Covid-19 based on X-Ray images of the lungs and classify them into three classes. The highest accuracy results obtained 85.67% using variations of image resizing= 200x200 pixel, radius of LBP= 8, and the number of trees in Random Forest=200.
SISTEM INFORMASI E-MADING (SI-EMA) BERBASIS WEBSITE SEBAGAI SARANA PENYALURAN KREASI PADA LITERASI SEKOLAH Hasan Basri; Muhamad Tabrani; Eko Budiyono
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.418

Abstract

An information system is a set of tools used to obtain and manage information. At this time, the use of information systems in everyday life is very much and varied. Many companies or institutions are switching from conventional systems to computerized systems. This is because information systems can simplify business processes from traditional or conventional systems. School wall magazines are an important facility for students and schools to convey important information related to education, talent development and student careers. However, over time, conventional wall magazines have many problems such as damaged information sheets and limited information display space, the information on display must be accessed. directly causing students to crowd to get information, limiting access rights to display information. By using a qualitative method, this study succeeded in developing a software called the e-mading information system (SI EMA). in a structured way, SI EMA can be explained using the waterfall method. The creation of a website-based wall magazine aims to add value and function to conventional wall magazines to become more efficient and of high quality. The SI EMA website has changed the publication of conventional papers to be computerized, the use of paper media or printed documents has become electronic media, articles or written works are not easily lost because they have been documented on the website, the appearance of written works has become more attractive. With this renewal, problems can be resolved properly and are able to help schools and students not only in obtaining information more effectively and efficiently but also as a creative means to express their creativity.
PENERAPAN METODE GENETIK PADA SISTEM INFORMASI PENJADWALAN PERKULIAHAN STMIK JAKARTA STI&K Linda Wahyu Widiyanti; Suyatno Suyatno
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.469

Abstract

Lecture activities from a university are increasingly complex along with the number of scientific fields in a study program. One of these complications is the scheduling of courses given to students and supporting lecturers. The number of courses and the large number of lecturers make the scheduling process require extra in managing it. STMIK Jakarta STI&K is a college in the field of computers that has several study programs in the field of computers consisting of the Information Systems Study Program, Computer Systems and Information Management. At the beginning of each lecture, they often experience difficulties in scheduling the lectures. The need for a system that can process scheduling data is very important so that it can help maximize the process so that lecture activities are more organized. Answering the problem of the complicated process of scheduling lectures for students and lecturers, in this study a scheduling system was developed using the Genetic Method. The use of this genetic method can minimize scheduling conflicts between courses, between lecturers and between classes. The development of this scheduling system was developed using the PHP language and MySQL database so that it can be applied online so that the results can be directly informed to lecturers and students. Based on the application of the system developed, it helps the scheduling department of STMIK Jakarta STI&K faster in making schedules because it minimizes schedule conflicts, informs schedules more quickly so that all lecturers and students are better prepared. The comparison of the average speed of making schedules manually and using genetic methods is between 69.67 and 69.72.

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