Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer)
Erna Budhiarti Nababan
Universitas Sumatera Utara, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Sistem Pendukung Keputusan Penilaian Kinerja Guru Selama Pembelajaran Daring menggunakan Metode Vikor Sedihati Kayan Lumbangaol; Erna Budhiarti Nababan; Maya Silvi Lydia
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3798

Abstract

Teacher is a profession that has important role for the progress of education literacy, primarily in this current digitalization era that implements the online learning system. Therefore, the assesment of teacher’s performance during online learning is needed to find the advantages and disadvantages of each teacher, with an aim to get an evaluation that can be utilized to fix or improve the teacher’s performance. This study proposes a decision support system that applies the Vikor method as a solution to get the result of teacher’s performance assessment during online learning and make it easier for the decision makers. By using 4 research criteria and 5 alternatives, this research shows that A5 on behalf of Kayan Marbun with a value of 0.5025 is chosen as the teacher with the best performance.
Improvement Ranking Accuracy of Weighted Aggregated Sum Product Assessment With Lambda Variable Muhadi M. Ilyas Gultom; Erna Budhiarti Nababan; Zakarias Situmorang
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5280

Abstract

Conventional methods are still used in selecting  the best students in the various institutions depending on the subjectivity of each member of the assigned committee. In order to make an objective decision, it is necessary to have a method that can consider the criteria used to select the candidates to be elected. The decision-making method used in this study is Weighted Aggregated Sum Product Assessment(WASPAS). This study aims to analyze the increase in accuracy of the WASPAS method that occurs in the implementation of the lambda variable in the process of combining the Weight Product Method(WPM) and Weight Sum Method(WSM). This method is use because it is suitable for the case studied where the application of this method focuses on weighting criteria with a dynamic number of alternatives and low computational complexity providing good performance in handling large amounts of data.The application of this method uses data from students from Engineering Faculty of Universitas Islam Sumatera Utara which is tested on 10 students with criteria adapted from student data attributes that can be used as parameters for decision making. The results of this study show an increase for each alternative with an average value of 23.6% for each alternative. From this study it can be concluded that accuracy is highly dependent on variations in lambda values which are affected by the determinant operator in the equation used. Therefore it is possible to find an absolute equation to give optimal effect on a single value without variation by considering the bias of the effect of the WASPAS method on the lambda variable in future research.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Analisis Pengaruh Kadar Amonia terhadap Biota pada Sistem Akuaponik Berbasis IoT Menggunakan Sensor Fusion dan K-Means Cindy Pakpahan; Erna Budhiarti Nababan; Baihaqi Siregar; Opim Salim Sitompul; Hayatunnufus
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9827

Abstract

Aquaponic systems integrate fish and plant cultivation in a single production cycle, but their success depends heavily on water quality  particularly ammonia levels, which can be harmful to living organisms if left unmonitored. This study develops an IoT-based monitoring system using an ESP32 microcontroller equipped with eight sensors (pH, water temperature, air temperature, humidity, DO, EC, TDS, and ammonia) integrated through a sensor fusion approach. Sensor data were processed using mean imputation and Z-score normalization, then analyzed with Pearson Correlation for feature selection and K-Means clustering for anomaly detection in an aquaponic system cultivating Channa striata and Amaranthus sp. Results show that ammonia correlates most strongly with pH (r = 0.50), while correlations with other parameters were relatively low. K-Means successfully distinguished normal from anomalous conditions automatically, and biological testing confirmed that optimal growth occurred at ammonia levels below 1 mg/L. Compared to single-parameter monitoring systems, this multivariate approach provides a more comprehensive picture of environmental conditions and offers a foundation for developing smart, efficient, and sustainable aquaponic systems.
Co-Authors Baihaqi Siregar Cindy Pakpahan Hayatunnufus Maya Silvi Lydia Muhadi M. Ilyas Gultom Opim Salim Sitompul Sedihati Kayan Lumbangaol Zakarias Situmorang