Garuda - Garba Rujukan Digital

p-Index From 2019 - 2024

2.81

P-Index

This Author published in this journals

All Journal Sistemasi: Jurnal Sistem Informasi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH (International Journal Of Information System & Technology) Building of Informatics, Technology and Science Jurnal Mantik Computer Science and Information Technologies Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas Bina Bangsa Jurnal Sains Teknologi dan Sistem Informasi Prosiding Snastikom Jurnal Pengabdian Masyarakat Sains dan Teknologi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Dedy Hartama

STIKOM Tunas Bangsa

Author-ID : 2379467

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

Published : 20 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

Prediction of Mortlity Rate in Indonesia due to Covid-19 Using the Naïve Bayes Algorithm Abdi Rahim Damanik; Dedy Hartama; Irfan Sudahri Damanik
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

One of the functions of this research is to obtain the latest information regarding the level of accuracy and death rates due to the Covid-19 pandemic. One of the tasks of planning a response to a pandemic is to access data related to the number of deaths due to Covid-19. The research that the author is carrying out will predict the death rate due to the COVID-19 pandemic in Indonesia. This study collects all data sourced from the website address https://sinta.ristekbrin.go.id/covid/datasets. By using Indonesia's death rate data due to covid-19 from March 2020 to July 2021. The calculation process and prediction workflow will use the Naïve Bayes Algorithm to be able to measure accuracy and predict the death rate due to the coronavirus in 2022. Prediction testing data figures with a total of 20 the area is in the highest class with a death rate of 120,568 cases obtained based on the calculation of the Naive Bayes algorithm, for an accuracy performance of 100% by testing using Rapidminer tools. It is hoped that the results of this prediction can be used by the government to overcome and set plans for good improvements to the community during the coronavirus pandemic.

Increasing Prediction Accuracy with the Backpropagation Algorithm (Case Study: Pematangsiantar City Rainfall) Yogi Prayoga; Dedy Hartama; Jalaluddin Jalaluddin; Sumarno Sumarno; Zulaini Masuro Nasution
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i1.27

The more advanced science and technology from various disciplines, currently rainfall can be predicted by carrying out various empirical approaches, one of which is by using Artificial Neural Networks (ANN). This study aims to apply ANN with backpropogation algorithm in predicting rainfall. The research data used is BPS data of the transfer city. The results of the study state that of the 6 models (4-5-1, 4-10-1, 4-25-1, 4-5-10-1, 4-5-25-1 and 4-5-50-1) architecture that was trained and tested using Matlab 6.1 application software, the results showed that the 4-5-25-1 architectural model was the best model for making predictions with 75% truth accuracy, Training MSE 0.001004582, Testing MSE 0.021882712 and Epoch 59,076 . It is expected that research can provide input to the government, especially BMKG Pematangsiantar city in predicting Rainfall based on computer science so as to improve the quality of services in the fields of Meteorology, Climatology, Air Quality and Geophysics in accordance with applicable laws and regulations.

Evacuation Planning for Disaster Management by Using The Relaxation Based Algorithm and Route Choice Model Dedy Hartama; Agus Perdana Windarto; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 2, No 1 (2018): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v2i1.14

Research in the field of disaster management is done by utilizing information and communication technology. Where disaster management is discussed is about evacuation planning issues. The evacuation stage is a very crucial stage in the disaster evacuation process. There have been many methods and algorithms submitted for the evacuation planning process, but no one has directly addressed evacuation planning on dynamic issues concerning time-varying and volume-dependent. This research will use the Relaxation-Based Algorithm combined with the Route Choice Model to produce evacuation models that can be applied to dynamic issues related to time-varying and volume-dependent because some types of disaster will result in damage as time and evacuation paths are volume-dependent so as to adjust to the change in the number of people evacuated. Disaster data that will be used in this research is sourced from Disaster Information Management System sourced from DesInventar. The results of this study are expected to produce an evacuation planning model that can be applied to dynamic problems that take into account the time-varying and volume-dependent aspects.

Pelatihan Pemanfaatan Mendeley Desktop Sebagai Program Istimewa Untuk Akademisi Dalam Membuat Citasi Karya Ilmiah Agus Perdana Windarto; Dedy Hartama; Anjar Wanto; Iin Parlina
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 2, No 2 (2018): Agustus
Publisher : Universitas Muhammadiyah Surabaya

Desktop mendeley application is actually an application intended to facilitate the creation of citations and a list of libraries commonly used by the authors, so the authors will be pressed error in making the bibliography and facilitate in obtaining the writings to be cited. In addition to creating scientific papers, this application can also be used to manage the files of online journal articles that are the output of a scientific work. Furthermore, participants can utilize this application for the purpose of making a bibliography or collection of abstracts of certain fields of journal articles subscribed. Training activities undertaken in Community Service activities show that participants have a material understanding and the potential to make refernsi managers better and maximum by utilizing mendeley desktop applications.

Klasifikasi Rasa Susu Almond Berdasarkan Minat Pelanggan Menggunakan Algoritma C4.5 di Home Made MamiNia Ice Pematangsiantar Febriani; Indra Gunawan; Rafiqa Dewi; Dedy Hartama; Muhammad Ridwan Lubis
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): Oktober 2021
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v1i2.33

Almond milk is a plant-based milk drink made from almonds. Almond juice has a paler color and a thicker texture than regular milk. As for the benefits of almond milk in the world of health, namely to increase breast milk production, prevent high blood pressure, strengthen immunity, protect bone health, maintain baby's heart health, prevent free radicals, facilitate digestion, make skin bright after childbirth. Data mining is part of the Knowledge Discovery in Database (KDD) process stage. Therefore, the authors provide a classification solution in Data Mining is done using the Algorithm C4.5. With the Algorithm C4.5 you will get a Decision Tree that is easy to understand and easy to understand. Thus, it can help the owner determine the almond milk production plan that is most in demand and without worrying about excess goods or shortages of ingredients.

Model of emergence evacuation route planning with contra flow and zone scheduling in disaster evacuation Dedy Hartama; Herman Mawengkang; Muhammad Zarlis; Rahmad Widia Sembiring
Computer Science and Information Technologies Vol 2, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v2i1.p1-10

Evacuation is characterized by rapid movement of people in unsafe locations or disaster sites to safer locations. The traffic management strategy for commonly used evacuations is the use of Shoulder-Lane, contra-flowing traffic and gradual evacuation. Contra-flow has been commonly used in traffic management by changing traffic lanes during peak hours. To implement the contra-flow operation, there are two main problems that must be decided, namely Optimal contra-flow lane configuration problem (OCLCP) and optimal contra-flow scheduling. Within the OCSP there are two approaches that can be used: zone scheduling and flow scheduling. Problem of contra-flow and zone scheduling problem is basically an Emergence evacuation route planning (EERP) issue. This research will discuss EERP with contra-flow and zone scheduling which can guarantee the movement of people in disaster area to safe area in emergency situation.

The Application of Data Mining in Determining Timely Graduation Using the C45 Algorithm Asro Pradipta; Dedy Hartama; Anjar Wanto; Saifullah Saifullah; Jalaluddin Jalaluddin
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i1.30

Graduating on time is one element of higher education accreditation assessment. In the Strata 1 level, students are declared to graduate on time if they can complete their studies <= eight semesters or four years. BAN-PT sets a timely graduation standard of >= 50%. If the standard is not met, it will reduce the value of accreditation. These problems encourage the Universitas Simalungun Pematangsiantar to conduct evaluations and strategic steps in an effort to increase student graduation rates so that the targets of BAN-PT can be achieved. For this reason it is necessary to know in advance the pattern of students who tend not to graduate on time. In this study, C4.5 Algorithm is proposed to predict student graduation. This algorithm will process student profile datasets totaling 150 data. This dataset has a graduation status label. The value of the label is categorical, that is, right and late. The features or attributes used, namely the name of the student, gender, student status, GPA. The results of the C4.5 algorithm are in the form of a decision tree model that is very easy to analyze. In fact, even by ordinary people. This model will map the patterns of students who have the potential to graduate on time and late.

Analisa Visualisasi Data Akademik Menggunakan Tableau Big Data Dedy Hartama
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 3 (2018): Edisi Juli
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v3i0.65

This research explains the benefits of data analysis by visualizing Big data in performing optimization in the academic management environment. The data used is academic information system database that related with student status. In this study the authors use Tableau tools to perform data analysis based on the number of students worksheet, student status, student name table and generate student dashboard data. The results of the analysis obtained by using visualization in bemtuk management graph is very fast and optimize data processing so mengatahui the development of academic database situation.

Monitoring Keamanan Toko Menggunakan Sensor Pir dan Pintu Berbasis Arduino dengan Notifikasi SMS Gateway Jaka Putra; Sumarno Sumarno; Bahrudi Efendi Damanik; Dedy Hartama; Indra Gunawan
Building of Informatics, Technology and Science (BITS) Vol 1 No 2 (2019): BITS, Desember 2019
Publisher : Forum Kerjasama Pendidikan Tinggi

The author has conducted research at UD Stores. Variant Jl. Kabu-Kabu No. 31 Pematangsiantar and found a problem where the theft was prone to the place and no employees guarded the store during the closing. Then another problem arises how to monitor stores from a distance by using SMS Gateway notifications. So here the author provides a solution so that the store can be monitored remotely with SMS Gateway Notifications. The author implements a Magnetic switch on the front door so that when the door is forced open the buzzer will ring and the owner receives an SMS, then in the front room the writer implements a PIR sensor where when a human passes the sensor the buzzer will turn on and the shop owner will get SMS notification.

Co-Authors , Rahmad Sembiring Abdi Rahim Damanik Agus Perdana Windarto Asro Pradipta Bahrudi Efendi Damanik Dewi, Rafiqa Fahmi Firzada Febriani Fitri Anggraini Herman Mawengkang Iin Parlina Ika Okta Kirana Indra Gunawan Irfan Sudahri Damani, Irfan Sudahri Jaka Putra Jalaluddin J Jalaluddin Jalaluddin M. Safii Mawaddah Anjelita Muhammad Irfani Muhammad Ridwan Lubis Muhammad Sapriyaldi Muhammad Zarlis Notryady Purba Renaldi Rizky Khairunnisa Sormin Rudi Handika Saifullah Saifullah Solikhun S Sumarno Sumarno Sumarno Sumarno Surya Darma Wanto, Anjar Wendi Robiansyah Widodo Saputra Yogi Prayoga Zulaini Masuro Nasution

Title

Found 20 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 20 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 20 Documents
Search