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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Pada Masyarakat METHABDI TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Marlyna Infryanti Hutapea
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health

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PERANCANGAN SISTEM INFORMASI PEMESANAN TIKET PADA PT. SEJAHTERA Grace Novita Sari Sihombing; Marlyna Infryanti Hutapea; Rena Nainggolan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 1 No 2 (2021): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (970.008 KB) | DOI: 10.46880/tamika.Vol1No2.pp60-67

Abstract

At this time information technology has evolved very rapidly and influential to all aspects of daily life, but ticket reservations generally still use a manual tool. The manual means that the ticket order still uses the ticket paper by filling up the data in writing and passengers must come directly to the counter to book a ticket. This is far from effective and efficient for passengers, frequent problems for potential passengers such as tickets that run out, a delayed departure hour or even a crowded bus. Hence, the writer raised the question of a hand-ordered ticket system. The goal of building this system is to make it easier for passengers to book tickets and to file administration for data processing. With this system in place, it is expected to solve previous problems and be useful to make bus reservations effective and efficient.
Moderna's Vaccine Using the K-Nearest Neighbor (KNN) Method: An Analysis of Community Sentiment on Twitter Marlyna Infryanty Hutapea; Arina Prima Silalahi
Jurnal Penelitian Pendidikan IPA Vol 9 No 5 (2023): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i5.3203

Abstract

The COVID-19 is still in Indonesia. The government has made efforts to stop the COVID-19 virus, by moving vaccination program. There are various types of vaccines, one of which is moderna vaccine or MRNA-1273 that applied intramuscularly. The vaccination programs using modern vaccines creates different opinions in public, especially among Twitter users. The opinion uploaded will be the data on Public Sentiment Analysis on Twitter About Moderna Vaccines Using K-Nearest Neighbor Method research. In this study, TF-IDF method is used for weighting the words and KNN for classifying the sentiment into two groups of sentiments, namely positive and negative. The tools used in this research are Rapid miner to collect tweet data and Python for sentiment classification and evaluation. From the test results Based on 50 training data when k = 3 it is known that the accuracy value is 80%, precision is 80%, recall is 100% and F-Measure is 89%.
PENINGKATAN KOMPETENSI SISWA SMK GELORA JAYA NUSANTARA MELALUI PELATIHAN KONFIGURASI ROUTER DAN VLAN Jamaluddin Jamaluddin; Eva Julia G. Harianja; Eviyanti Novita Purba; Resianta Perangin-angin; Mufria J. Purba; Rena Nainggolan; Gortap Lumbantoruan; Marlyna I. Hutapea; Rimbun Siringoringo; Roni J. Simamora; Rijois I. E. Saragih; Delianus Zalukhu; Calvin Nicolas Panjaitan; Flora Marpaung; Hegi Audria Sitorus
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 1 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No1.pp44-48

Abstract

This community service activity is an implementation of the tridharma of higher education to provide knowledge to students of SMK Gelora Jaya Nusantara, especially class XI students majoring in network computer engineering (TKJ). The material provided is router configuration and virtual LAN, this material is useful for participants, because it is one of the topics in the competency exam. This service activity starts from the preparation stage carried out by the team and is carried out on June 20, 2023 in the computer laboratory of SMK Gelora Jaya Nusantara. This service activity was carried out in collaboration with the Program Studi D3 Manajemen Informatika dan Komputerisasi Akuntansi with SMK Gelora Jaya Nusantara.
Co-Authors Arina Prima Silalahi Calvin Nicolas Panjaitan Delianus Zalukhu Eva Julia G. Harianja Flora Marpaung Gortap Lumbantoruan Grace Novita Sari Sihombing Hegi Audria Sitorus Jamaluddin Mufria J. Purba Purba, Eviyanti Novita Rena Nainggolan Resianta Perangin-Angin Rijois I. E. Saragih Rimbun Siringoringo, Rimbun