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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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Machine Learning for Handoffs Classification Based on Effective Communication History Simbolon, Anita Ira Agustina; Pujiastuti, Maria; Jaya, Indra Kelana; Tarigan, Kerista; Sinambela, Marzuki
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.188 KB)

Abstract

An important step in data effective communication in handoffs process analysis is data exploration and representation. Communication in handoff treatment is crucial to protect the patients and it can lead to patient’s safety, discontinue care of a patient or the cause loss of important information related to the continuum of care. In this case, we use the machine learning technique by using Support Vector Machine for classification the handoffs for twenty weeks to analysis and represented based on the effective communication history. We used handoffs dataset which employed from Arifin Achmad Hospital in Pekanbaru, Indonesia. The result indicated the performance of the designed system was successful and could be used in handoffs analysis based on the effective communication histories in Arifin Achmad Hospital in Pekanbaru, Indonesia.
PEMETAAN MIKROZONASI DALAM MENDUKUNG PERENCANAAN DAN PENGEMBANGAN KELEMBAGAAN LINGKUNGAN HIDUP Teguh Rahayu; R Hamdani Harahap; Marzuki Sinambela
Jurnal Kesehatan Masyarakat dan Lingkungan Hidup Vol 5 No 1 (2020): JURNAL KESEHATAN MASYARAKAT DAN LINGKUNGAN HIDUP
Publisher : UNIVERSITAS SARI MUTIARA INDONESIA

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Abstract

Pengembangan kelembagaan lingkungan hidup menjadi prioritas dalam pengurangan tingkat resiko kerusakan lingkungan. Perlunya kajian dan kolaborasi antara kelembagaan akan mempengaruhi keberhasilan dalam pembangunan dan kesejehteraan masyarakat. Dalam hal ini, pengurangan resiko kerusakan lingkungan dapat dilakukan dengan melakukan pemetaan terhadap bencana alam. Penelitian ini berfokus pada pengurangan dampak resiko gempabumi terhadap lingkungan. Penelitian ini juga bertujuan untuk melakukan pendekatan terhadap kelembagaan lingkungan hidup yang memegang peranan dalam kebijakan pembangunan dan perencanaan, khususnya kajian mikrozonasi sebagai upaya pemetaan resiko kerusakan lingkungan di kota Medan, Sumatera Utara.
THE TRANSLATION OF CIVIL AVIATION SAFETY REGULATION PART 170 AIR TRAFFIC RULES INTO INDONESIAN Sylvia Tiara; Hutabarat Tommy Liber; Saragih Azhari Nisa; Sinambela Marzuki
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol 7, No 1 (2019): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Litera
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v7i1.719

Abstract

The background of this research was based on the continued development of international aviation in the world which was a challenge for the translator to find an equivalent sentence. The purpose of this thesis was to find the equivalence type used in translating the source language to the target language and find the dominant equivalence type used. For solving this problem, the writer used Nida and Taber theory that divided equivalence types into two types, namely formal equivalence or formal correspondence and dynamic equivalence. The method used was descriptive qualitative method. The data was obtained through systematic sampling method. Based on the analysis, the equivalence types of 53 of 66 samples (80%) were translated by using formal correspondence; 12 of 66 samples were translated using dynamic equivalence (18%) and only one sample (2%) did not neither involve in formal correspondence nor dynamic equivalence because SL text did not have translation in TL (reserved). The most dominant equivalence type used in the translation was formal correspondence.
Classification of Labor Using Support Vector Machine in North Sumatera Anggiat P Ritonga; Andri Ramadhan Adithya; Idri Agustina; Tonni Limbong; Marzuki Sinambela
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 4 No 2: Tahun 2019
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (610.001 KB) | DOI: 10.17605/jti.v4i2.658

Abstract

Labor markets in Indonesia are key challenges and policy issues. Balai Besar Pengembangan Latihan Kerja (BBPLK) Medan is a services unit to develop and implementation of labor to increase skill and knowledge. The classification of labor in North Sumatera is very interesting to evaluate the performance of the labor in North Sumatera. In this case, we compute the labor data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the support vector machine (SVM) as a model in machine learning or probabilistic approach by training and test data. The data was collected from Badan Pusat Statistik (BPS) Sumatera Utara for 2018 samples. Labor force dataset in North Sumatera had been computed and shown the result, indicates the support vector machine classifier is the good algorithm for this classification problem, offering good values in terms of accuracy, for describe the labor force in North Sumatera and can be recommended to BBPLK to add more development and implementation.
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.
Classification of Labor Using Support Vector Machine in North Sumatera Anggiat P Ritonga; Andri Ramadhan Adithya; Idri Agustina; Tonni Limbong; Marzuki Sinambela
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 4 No 2: Tahun 2019
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (610.001 KB) | DOI: 10.17605/jti.v4i2.658

Abstract

Labor markets in Indonesia are key challenges and policy issues. Balai Besar Pengembangan Latihan Kerja (BBPLK) Medan is a services unit to develop and implementation of labor to increase skill and knowledge. The classification of labor in North Sumatera is very interesting to evaluate the performance of the labor in North Sumatera. In this case, we compute the labor data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the support vector machine (SVM) as a model in machine learning or probabilistic approach by training and test data. The data was collected from Badan Pusat Statistik (BPS) Sumatera Utara for 2018 samples. Labor force dataset in North Sumatera had been computed and shown the result, indicates the support vector machine classifier is the good algorithm for this classification problem, offering good values in terms of accuracy, for describe the labor force in North Sumatera and can be recommended to BBPLK to add more development and implementation.
Prediction and mapping of landslide hazard in North Sumatera Teguh Rahayu; Albertus Tua Simanullang; Wisnu Wardono; Yosvin Apriando; Patra Mesiari Tarigan; Eva Darnila; Marzuki Sinambela
Login : Jurnal Teknologi Komputer Vol. 14 No. 1 (2020): Login : Jurnal Teknologi Komputer, Edition June 2020
Publisher : Sean Institute

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Abstract

Mapping of landslide hazard in North Sumatera is very important to identify the areas potential. In this study we try to predict and mapping of landslide hazard in North Sumatera using scoring and GIS. Compare to the ground movement vulnerability and rainfall series, the areas with steep topography have landslide hazard forecasts, which are dominated by zones with medium hazard forecasts. High-level landslide hazard forecast maps are in the areas of South Tapanuli, Mandailing Natal, Humbang Hasundutan, Central Tapanuli, North Tapanuli, South Nias, West Nias, Padang Lawas, Toba Samosir, Langkat, Samosir, Pakpak Bharat, and Karo districts.
Analysis of Lightning activities level in North Sumatera Teguh Rahayu; Niken Woro Palupi; RB. Yanuar Harry W; Emerson Limbong; Mira Hestina Ginting; Janner Simarmata; Marzuki Sinambela
Login : Jurnal Teknologi Komputer Vol. 14 No. 1 (2020): Login : Jurnal Teknologi Komputer, Edition June 2020
Publisher : Sean Institute

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Abstract

The purpose of this research is to get an overview of the level of threat and vulnerability due to lightning strikes in North Sumatra Province and present it in the form of a thematic map. In this case, we use the real time lightning strike data during June 2020 in regencies / cities in North Sumatra from the Deli Serdang Geophysical Station Lightning Detector tool, then the data is processed and mapped in the Arcgis 10 program using the Gridding method. The result indicate that the mechanism of lightning is related to physical theory including the presence of electrostatic forces, collisions between particles in charge separation, changes in the form of substances at a certain height in the Cumulonimbus cloud, potential differences that cause lightning strikes and charge induction from charged clouds.
Skyquakes phenomenon analysis using geophysical approach in Java Island Marzuki Sinambela; Teguh Rahayu; Margono; Niken Woro Palupi; Bertalina Sihotang; Alexander F.T Parera
Login : Jurnal Teknologi Komputer Vol. 14 No. 1 (2020): Login : Jurnal Teknologi Komputer, Edition June 2020
Publisher : Sean Institute

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Abstract

Explosions in the sky (Skyquake) like an earthquake are still mysterious. The main purpose of this research is to to provide an overview of the source of the explosion that occurred with a geophysical approach, based on both earthquakes, thunderstorms and earth magnets. In this case, we used the geophysical approach to evaluate and analysis the skyquakes based on the spectral density and magnetic field. The result indicates that the earthquake sequences that occurred simultaneously were not related to crash events at different times, 11 April 2020 and May 11, 2020, as well as the electrical activity of the air and the earth's magnet, the assumption of the 11 April 2020 explosion originating from lightning and magnetic activity is still very weak.
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