cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
IPTEK The Journal for Technology and Science
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 08534098     EISSN : 20882033     DOI : -
Core Subject : Science,
Computer Science & IT
IPTEK The Journal for Technology and Science (eISSN: 2088-2033; Print ISSN:0853-4098), is an academic journal on the issued related to natural science and technology. The journal initially published four issues every year, i.e. February, May, August, and November. From 2014, IPTEK the Journal for Technology and Science publish three times a year, they are in April, August and December in online version.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 32, No 2 (2021)" : 5 Documents clear
Performance Study Of Uncertainty Based Feature Selection Method On Detection Of Chronic Kidney Disease With SVM Classification Qolby, Lailly Syifa'ul; Buliali, Joko Lianto; Saikhu, Ahmad
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.10483

Abstract

Chronic Kidney Disease (CKD) is a disorder that impairs kidney function. Early signs of CKD patients are very difficult until they lose 25% of their kidney function. Therefore, early detection and effective treatment are needed to reduce the mortality rate of CKD sufferers. In this study, the authors diagnose the CKD dataset using the Support Vector Machine (SVM) classification method to obtain accurate diagnostic results. The authors propose a comparison of the result on applying the feature selec- tion method to get the best feature candidates in improving the classification result. The testing process compares the Symmetrical Uncertainty (SU) and Multivariate Symmetrical Uncertainty (MSU) feature selection method and the SVM method as a classification method. Several experimental scenarios were carried out using the SU and MSU feature selection methods using the CKD dataset. From the results of the tests carried out, it shows that using the MSU feature selection method with 80%: 20% data split produces nine important features with an accuracy value of 0.9, sensi- tivity 0.84, specification 1.0, and when viewed on the ROC graph, the MSU method graph shows the true positive value is higher than the false positive value. So the classification using the MSU feature selection method is better than the SU feature selection method by 90% accuracy
The Effect of Precipitation on Scavenging of PM2.5 in Jakarta Based on Distributed Lag Non-Linear Models Virgianto, Rista Hernandi; Kinanti, Nanda Putri; Ferdiansyah, Ervan; Kartika, Qurrata A’yun
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.7735

Abstract

Fine particles, including PM2.5, impact human health, especially in a megacity such as Jakarta. Meanwhile, precipitation is one of the most efficient mechanisms to reduce atmospheric particulate matter, including PM2.5. This study investigated the changes in PM2.5 concentrations before and after rain events along with the threshold of precipitation and a certain time lag that affects the reduction of PM2.5 concentrations in Jakarta from 2017 to 2019. PM2.5 concentration datasets from two observation sites at Central and South Jakarta were used in this study. The relative effect and scavenging probability of PM2.5 concentrations were calculated to seek further understanding of the effect of rain events on the decrease of PM2.5 concentrations using hourly data. A Non-Linear Distributed Pause Model was used in this study with hourly rainfall data and hourly air temperature that controlled the reduction in PM2.5 concentrations. This study indicates that higher precipitation provides greater influence to the decrease of PM2.5 concentration in both Central Jakarta and South Jakarta. The precipitation threshold for reducing PM2.5 concentrations in Central Jakarta is 5 mm of rainfall with no time lag and a maximum delay of up to 12 hours. The South Jakarta area is 5 mm of rainfall with a time lag of up to 10 hours. In addition, the results suggest an increase in the probability of the concentration of PM2.5 below the standard (SP) with rainfall and a certain time lag that was greater in South Jakarta, which was up to 19% compared to 11% in Central Jakarta
Diagnosis of Heart Disease Using Feature Selection Methods Based On Recurrent Fuzzy Neural Networks Shirin Kordnoori; Hamidreza Mostafaei; Mohsen Rostamy-Malkhalifeh; Mohammadmohsen Ostadrahimi; Saeed Agha Banihashemi
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.7075

Abstract

The World Health Organization (WHO) estimated one-third of all global deaths reason by cardiovascular diseases. Nowadays, artificial intelligence attracts many considerations in diagnosing heart disease. This study used trained recurrent fuzzy neural networks (RFNN) for diagnosing heart disease. This study also used five kinds of feature selection and extraction models for comparing the action of a model, such as data envelopment analysis (DEA), Linear Discriminative Analysis (LDA), Principle Component Analysis (PCA), Correlation Feature Selection (CFS), and Relief. By using these methods, this paper diagnosed whether the patient has a heart disease problem or not. The results showed that Correlation feature selection has the best operation in feature selection in RFNN by accuracy of 98.4%.
Reduction of Free Fatty Acids in Palm Kernel Oil Using Bagasse Adsorbent of Varying Masses Caleb MacCarthy; Stephen Adusei
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.9489

Abstract

Palm kernel is an important oilseed found in the fruit of the oil palm plant. The kernel serves as the source of palm kernel oil rich in vitamin K and has zero transfat and zero cholesterol. The quality of crude palm kernel oil is dependent on the content of free fatty acids, moisture, heavy metals, oxidized products, and minor constituents such as phosphatide. The free fatty acid content, amongst other parameters, is considered a major determinant of the quality of palm kernel oil as higher contents can be detrimental to the flavor, color, stability, and safety of the oil. Hence, this present study aimed at exploring the possibility of using bagasse adsorbent (sugarcane residue) of varying masses of 1.0 g, 1.5 g, 2.0 g, and 2.5 g to reduce the free fatty acids in crude palm kernel oil. A standard test by AOCS was employed in determining the free fatty acids (%FFA) content in both the crude and bagasse treated palm kernel oil. The result of the use of bagasse adsorbent as free fatty acids reducing agent proved to be effective by reducing the FFA content of the crude palm kernel oil by 74%, 77%, 79%, and 82% for 1.0 g, 1.5 g, 2.0 g, and 2.5 g of bagasse adsorbent respectively. Therefore, the findings of this study advocate the use of bagasse adsorbent in reducing higher levels of FFA in crude palm kernel oil to its acceptable limit.
Analysis of Technology Acceptance of Enterprise Resource Planning (ERP) System in The Regional Office of PT. XYZ Throughout Indonesia Baiq Findiarin Billyan; Mohammad Isa Irawan
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.7876

Abstract

The companies that started to renew their system using ERP-based systems, since 2000 the percentage of success reached 75%, and 25% is a failure. There are several issues such as the quality of human resources, not user-friendly system, incorrect format for data recording, system errors, unstable connections, the long-time process in the system, etc. Related to the issue, the ERP SAP technology provider provides local support to help end-users use the system for daily work. In this study, to analyze the factors of acceptance technology of ERP system, we use the UTAUT2 method, and for analyzing those hypotheses, we use the PLS-SEM metho

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol 36, No 1 (2025) Vol 35, No 3 (2024) Vol 35, No 2 (2024) Vol 35, No 1 (2024) Vol 34, No 3 (2023) Vol 34, No 2 (2023) Vol 34, No 1 (2023) Vol 33, No 3 (2022) Vol 33, No 2 (2022) Vol 33, No 1 (2022) Vol 32, No 3 (2021) Vol 32, No 2 (2021) Vol 32, No 1 (2021) Vol 31, No 3 (2020): In-Press Vol 31, No 3 (2020) Vol 31, No 2 (2020) Vol 31, No 1 (2020) Vol 30, No 3 (2019) Vol 30, No 2 (2019) Vol 30, No 1 (2019) Vol 29, No 3 (2018) Vol 29, No 2 (2018) Vol 29, No 1 (2018) Vol 28, No 3 (2017) Vol 28, No 2 (2017) Vol 28, No 1 (2017) Vol 27, No 3 (2016) Vol 27, No 2 (2016) Vol 27, No 1 (2016) Vol 26, No 2 (2015) Vol 26, No 1 (2015) Vol 25, No 3 (2014) Vol 25, No 2 (2014) Vol 25, No 1 (2014) Vol 24, No 3 (2013) Vol 24, No 2 (2013) Vol 24, No 1 (2013) Vol 23, No 4 (2012) Vol 23, No 3 (2012) Vol 23, No 2 (2012) Vol 23, No 1 (2012) Vol 22, No 4 (2011) Vol 22, No 3 (2011) Vol 22, No 2 (2011) Vol 22, No 1 (2011) Vol 21, No 4 (2010) Vol 21, No 3 (2010) Vol 21, No 2 (2010) Vol 21, No 1 (2010) Vol 20, No 4 (2009) Vol 20, No 3 (2009) Vol 20, No 2 (2009) Vol 20, No 1 (2009) Vol 19, No 4 (2008) Vol 19, No 3 (2008) Vol 19, No 2 (2008) Vol 19, No 1 (2008) Vol 18, No 4 (2007) Vol 18, No 3 (2007) Vol 18, No 2 (2007) Vol 18, No 1 (2007) More Issue