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 33 Documents
 1   2   3   4 
Search results for , issue "Vol 5 No 2 (2022)" : 33 Documents clear
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.
IMPLEMENTASI SISTEM PAKAR UNTUK DETEKSI DINI COVID VARIAN OMICRON MENGGUNAKAN ANALISIS KORELASI PEARSON (r) Noviyanti P; Fra Siskus Dian Arianto; Listra Firgia; Benedhikta Kikky Vuspitasari
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.v5i2.622

Abstract

Corona Virus Disease, which is often known as Covid-19, is a virus whose transmission is very fast and dangerous. Covid-19 then mutated into Covid Omicron. According to WHO, the Covid Omicron variant has been detected in 57 countries (15 December 2021). The emergence of a new variant of Covid, namely Covid Omicron, is a new threat to the world because the spread of this variant of Covid is quite fast compared to other variants. The purpose of conducting this research is to test whether an Expert System using Pearson Correlation Analysis (r) can detect early Covid Omicron. Early detection of Covid Omicron is done by transferring knowledge related to Covid Omicron into a computer, then calculating the correlation (????) between patient data and information data from experts, then analyzing it by determining t_count, comparing t_count with t_table, and concluding the hypothesis from Pearson's correlation analysis ( ) that has been done. Based on the research that has been done, the Covid-19 early detection system using Pearson correlation analysis (r) can provide a link between input variables (x) and output variables (y) with proof through experiments between manual analyzes and system analysis that can provide the same good output.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KETUA HIMAPRODI MENGGUNAKAN METODE WEIGHTED PRODUCT Yudo Bismo Utomo; Dian Efytra Yuliana; Harso Kurniadi
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.v5i2.703

Abstract

Himaprodi Tekkom is one of the student organizations at the level of the Computer Engineering Study Program on the Uniska Kediri campus and includes intra-campus organizations as well as extra-curricular activities that can be selected and participated in by each student. The term of office of the chairman of Himaprodi is one year; when the term of office ends, the selection of the new Himaprodi chairman will be held at the time of the musma. In its selection, Himaprodi Tekkom still uses manual methods that make it too time-consuming and less efficient. In order to be effective and efficient, and moreover, the study program is a computer engineering study program, a website-based recommendation system was created to determine the candidate for the new Himaprodi Chairman using the weighted product method as a data processor based on six criteria that have been given, including leadership, wisdom, competence, responsibility, communicativeness, creativity, and innovation. The results achieved from this study were to use the weighted product method, so Arif Nur Huda's name was chosen as the new head of the Himaprodi Teknik Komputer with a value of 0,447.

Page 4 of 4 | Total Record : 33

 1   2   3   4 

Filter by Year

2022 2022


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