Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal Jurnal Informatika Kaputama (JIK) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Nasional Teknologi Komputer International Journal of Informatics, Economics, Management and Science Journal of Mathematics and Technology (MATECH) Pascal: Journal of Computer Science and Informatics
MANURUNG, HOTLER
Unknown Affiliation
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Informatics, Economics, Management and Science

 1 
Diagnosing Malnutrition In Toddlers Using The Dempster Shafer Method Wulandari, Heny; Manurung, Hotler; Rahmadani, Suci
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1235

Abstract

Indonesia was the 5th most malnourished country in the world in 2012. The number of malnourished children under five is currently around 900,000, which is 4.5% of the total number of children under five in Indonesia. Malnutrition can have an impact on children's growth and health, even potentially causing death if not treated properly. Toddler nutrition can be seen from the food consumed and nutritional status by calculating anthropometric indicators based on age, gender, weight and height. The Dempster Shafer method is one of the expert system methods used to calculate probabilities. This method is used to calculate the data input made by the patient to get the percentage of accuracy of the diagnosis results. Based on research, the Dempster Shafer method can produce accurate data. This developed system aims to help provide clear information for patients or the general public and for medical personnel is expected to help in handling it provide the right solution, by only paying attention to the symptoms experienced.
Public Sentiment towards the Medan-Binjai Water Pipeline Excavation using the Naïve Bayes Method Turnip, Liana Tasya; Manurung, Hotler; Prahmana, I Gusti
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1237

Abstract

The work on this project received sharp scrutiny from Non-Governmental Organizations (NGOs) because it was suspected that it was not in accordance with the Work Operation Standards (SOP) and not in accordance with the Technical Instructions (Guidelines for Implementation) and Juknis (Technical Instructions) .Naive Bayes is based on a simplified estimate that attribute values are conditionally independent of each other when given output values. Obtain an accuracy value of 0.75, with a negative precision classification of 0.75, negative recall1.00 f1-score negative0.86 and a negative3 support value. Precision classification Positive 0.00 positive recall 0.00 f1-score positive 0.00 and positive support value 1. This means that the performance of the system's success in retrieving information that has a positive value in the document is very low. -Binjai using the Naive Bayes algorithm method, it can be concluded as follows: 1) The accuracy level produced by the naïve Bayes classifier is 75%. 2) The advantages of this study are that it has good accuracy, precision and recall values, so that it is enough to be used in a system. 3) The deficiency in this research is in the performance of the system in finding the success of the system to find back information in the positive class, which is equal to 0.00%. This is because the amount of training data in the positive class is less than the negative class or it can be said that the training data used in this study is not balanced.
Co-Authors abdul ghani, mukti Baehaqi Danisuwara, Ardiya Kansya Dimastara, Rafa Filina, Dina Heny Wulandari Pardede, Akim Manaor Hara Prahmana, I Gusti Ramadani, Suci Sembiring, Hermansyah Simanjuntak, Magdalena Turnip, Liana Tasya