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All Journal IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Sinkron : Jurnal dan Penelitian Teknik Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Kesehatan Masyarakat dan Lingkungan Hidup Login : Jurnal Teknologi Komputer International Journal of Engineering, Science and Information Technology Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Sinambela Marzuki
Fakultas Ilmu Komputer, Universitas Methodist Indonesia.
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Journal : METHOMIKA: Jurnal Manajemen Informatika

 1 
TIME SERIES FORECASTING FOR AVERAGE TEMPERATURE IN 96041 STATION USING LONG SHORT-TERM MEMORY MODEL Nancy Lusiana Damanik; Elida Pane; Kartika Dewi; Efrianses F. H. Sinaga; Jamaluddin Jamaluddin; Hiras Sinaga; Marzuki Sinambela
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 5 No. 1 (2021): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.424 KB) | DOI: 10.46880/jmika.Vol5No1.pp33-36

Abstract

An understanding of patterns and gauge of normal temperature joined of parameter climate and climate information for way better water asset administration and arranging during a bowl is exceptionally vital. Investigate climate patterns utilizing typical and neighborhood annually normal temperatures, compare and make perceptions. during this consider, we'll analyze nearby and ordinary normal temperature information in 96041 Station supported perception station in place. the foremost objective of this considers to seem the execution of the traditional temperature in an exceedingly single station and to foresee the conventional temperature information utilizing the Long memory Demonstrate approach. supported the results of ordinary informatics of investigating temperature with nearby temperature relationship, we got the show of preparing bend, remaining plot, and therefore the diffuse plot is appeared utilizing these codes. the nice execution of 96041 Station had an Mean Squared Error esteem of 0.01 and R squared esteem 0.98, concerning zero will speak to superior quality of the indicator.
CLASSIFICATION OF STUDENT’S AIR TRAFFIC CONTROL SKILL USING LOGISTIC REGRESSION Liber Tommy Hutabarat; Hairul Amren S.; Marzuki Sinambela; Tonni Limbong
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 3 No. 2 (2019): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.677 KB) | DOI: 10.46880/jmika.Vol3No2.pp166-169

Abstract

The classification of student’s air traffic control skills at Akademi Teknik dan Keselamatan Penerbangan Medan (ATKP) is very interesting to evaluate and look at the performance of the student. In this study, we compute the student’s air traffic control (ATC) skill data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the logistic regression approach based on Sk-learn by training and test data. The data was collected from ATKP for twenty samples. The result of this study indicates the logistic regression classifier is the best algorithm for this classification problem, offering good values in terms of accuracy, true negative rate, and true positive rate.
Co-Authors Albertus Tua Simanullang Alexander F.T Parera Andri Ramadhan Adithya Anggiat P Ritonga Bertalina Sihotang Efrianses F. H. Sinaga Elida Pane Emerson Limbong Eva Darnila Gea, Asaziduhu Hairul Amren S. Hiras Sinaga Idri Agustina Indra Kelana Jaya Iwan Pahendra Jamaluddin Janner Simarmata Jimmy F. Naibaho Kartika Dewi Khalid Mawardi Liber Tommy Hutabarat Margono Maryana Maryana, Maryana Mira Hestina Ginting Nancy Lusiana Damanik Niken Woro Palupi Patra Mesiari Tarigan Pujiastuti, Maria R. Hamdani Harahap RB. Yanuar Harry W Ronaldo Glenn Sinabariba Saragih Azhari Nisa Simbolon, Anita Ira Agustina Siska Narulita Siboro Surianto Sitepu Sylvia, Tiara Tarigan, Kerista Teguh Rahayu Teguh Rahayu TONNI LIMBONG Wisnu Wardono Yohanna, Margaretha Yosvin Apriando