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Article ; Online: Comparison of Naive Bayes Method with Support Vector Machine in Helpdesk Ticket Classification

Arief Wibowo / Hariyanto Hariyanto

Journal of Applied Informatics and Computing, Vol 7, Iss 2, Pp 165-

2023 Volume 171

Abstract: The technical support department or helpdesk department is a unit that requires a quick response in handling its tasks. The company's helpdesk team can consist of several individuals who know specific or specialized issues. Typically, technical problems ... ...

Abstract	The technical support department or helpdesk department is a unit that requires a quick response in handling its tasks. The company's helpdesk team can consist of several individuals who know specific or specialized issues. Typically, technical problems are handled with an application that can track issues based on tickets. Ticket queue systems are used to facilitate control over the actions of the service or repair provided by the team. Helpdesk applications assist in addressing issues reported by users and then help upper-level management distribute tasks and monitor the helpdesk team's performance, including providing solutions to users' various problems. This research aims to predict the placement of fields that serve assistance based on the corpus users provide in the natural language. Prediction modelling is done using the Naïve Bayes and Support Vector Machine algorithms. The modelling results show that the accuracy rate of helpdesk service prediction with the Naïve Bayes algorithm reaches 82.06%, while the accuracy rate of prediction with the Support Vector Machine algorithm reaches 85.30%.
Keywords	helpdesk ; machine learning ; naïve bayes ; support vector machine ; text mining ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	005
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Politeknik Negeri Batam
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Penerapan Data Mining pada Suku Bunga Investasi Deposito di Indonesia Menggunakan Metode K-Means Clustering untuk Pengelompokan Profitabilitas

Raden Sasongko / Arief Wibowo

Ascarya, Vol 2, Iss 1, Pp 70-

2022 Volume 80

Abstract: Investment in Indonesia has several types, one of which is deposits through banks, namely individual or collective customers lending excess funds to banks and channeling them in the form of credit. This research is about clustering on several Banks, ... ...

Abstract	Investment in Indonesia has several types, one of which is deposits through banks, namely individual or collective customers lending excess funds to banks and channeling them in the form of credit. This research is about clustering on several Banks, those are Regional, Private, Foreign, Persero and General Banks which have different interest rates for investments. The method used in this study is the Knowledge Discovery using Database (KDD) method, using RapidMiner tools. The algorithm used to perform clustering is the K-Means algorithm. The data that was used is data on investment credit interest rates from several banks in Indonesia obtained from BPS (Central Statistics Agency) Indonesia. This data is taken from 2009-2020. The clustering results obtained are 3 clusters, where cluster 1 is Regional Bank, which turns out to have stable and high loan interest rates, then cluster 2 is Foreign Bank, which also has the lowest and unstable interest rate. While cluster 3 is a private bank and a state-owned company, these two banks have similar interest rates and levels of stability. In addition, these two banks are in the middle for investment options.
Keywords	clustering ; knowledge discovery using database ; k-means ; rapidminer ; investment loan interest rate ; Islam ; BP1-253 ; Social Sciences ; H
Subject code	332
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	Perkumpulan Alumni dan Santri Mahyajatul Qurro'
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: THE CORRELATION BETWEEN HEALTHY HOUSES AND ACCESS TO SAFE DRINKING WATER WITH THE INCIDENCE OF DIARRHEA IN EAST JAVA IN 2016

Siti Fera Irawati / Arief Wibowo

The Indonesian Journal of Public Health, Vol 16, Iss 2, Pp 264-

2021 Volume 272

Abstract: ABSTRACT Diarrhea is a common endemic disease in Indonesia. In developing countries, the high prevalence of diarrhea can be attributed to the lack of clean water and proper sanitation. This study determined a correlation between access to safe drinking ... ...

Abstract	ABSTRACT Diarrhea is a common endemic disease in Indonesia. In developing countries, the high prevalence of diarrhea can be attributed to the lack of clean water and proper sanitation. This study determined a correlation between access to safe drinking water and healthy houses with the incidence of diarrhea in East Java in 2016. The study applied a correlation study design. The population consisted of all diarrhea patients treated in East Java in 2016; thus, the population was used also as a sample. The data were obtained from secondary data, namely the 2016 East Java Provincial Health Profile. Pearson correlation test was used in analyzing the data. There was a correlation between healthy homes (p = 0.000) and sustainable access to safe drinking water (p = 0.000) with the incidence of diarrhea. Pearson correlation coefficient for the healthy house variable was 0.798, while the Pearson correlation coefficient for sustainable access to safe drinking water was 0.722. It can be concluded that the relationship between healthy homes and access to safe drinking water with the incidence of diarrhea in the Province of East Java in 2016 was strong enough. Keywords: diarrhea, healthy houses, access to safe drinking water.
Keywords	diarrhea ; healthy houses ; access to safe drinking water ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	Universitas Airlangga
Document type	Article ; Online
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Article ; Online: Manajemen Penanganan Kebakaran Hutan dan Lahan (Karhutla) Guna Peningkatan Ekonomi Kerakyatan

Kunto Arief Wibowo

Jurnal Studi Sosial dan Politik, Vol 3, Iss 1, Pp 69-

2019 Volume 83

Abstract: Forest and land fires (forest and land fires) continue every year. Since 2014 until that event continues to occur. Various methods have been carried out, but it still happens. This paper aims to explain another method of handling forest and land fires, ... ...

Abstract	Forest and land fires (forest and land fires) continue every year. Since 2014 until that event continues to occur. Various methods have been carried out, but it still happens. This paper aims to explain another method of handling forest and land fires, which uses a populist economic approach with an emphasis on management aspects in management. The method used is qualitative by conducting field research and the use of related references, including the author's direct experience in handling forest and land fire. The results obtained indicate there must be a harmonized management of handling all parties, all involved, including the involvement of agencies which so far have not been actively involved. Understanding of people's economy is needed, because this is the key to effective implementation.
Keywords	economy ; forest and land fires (karhutla) ; management ; Political science (General) ; JA1-92 ; Social Sciences ; H
Subject code	910
Language	English
Publishing date	2019-06-01T00:00:00Z
Publisher	Faculty of Social and Political Science Universitas Islam Negeri Raden Fatah Palembang
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Classification Algorithm Analysis for Breast Cancer

Sukmandhani Arief Agus / Lukas / Heryadi Yaya / Suparta Wayan / Wibowo Antoni

E3S Web of Conferences, Vol 388, p

2023 Volume 02012

Abstract: Breast cancer in women is a type of disease that is the main cause of death in women according to world breast cancer data. Therefore, early detection of breasts is needed significantly to improve life. If a woman has been identified, then rehabilitation ...

Abstract	Breast cancer in women is a type of disease that is the main cause of death in women according to world breast cancer data. Therefore, early detection of breasts is needed significantly to improve life. If a woman has been identified, then rehabilitation and treatment on an incentive basis are needed to reduce the worse. This study used a dataset collected by the University of Wisconsin Hospitals, Madison (https://atapdata.ai/). This research conducted experiments using several data mining classification strategies to predict breast cancer using machine learning algorithms. The Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes, Random Forest, Decision Tree, Deep Learning (H2O), and Neural Network are used to classify algorithms. From these algorithms’ classification, we compare accuracy, best classification, and compare algorithm performance with curve ROC (RapidMiner Studio Core) to see which performance algorithm has the best quality for classification. From the analysis results, the deep learning algorithm with Tanh and Exprectifier activation function has a good accuracy of 93.14%, and the best classification with 89.62%. In addition, deep learning has found the best quality from the ROC curve results on the dataset used in this research.
Keywords	Environmental sciences ; GE1-350
Subject code	006
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
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Article ; Online: Web Service on Android Application with Geo-tagging Features for Athletes Presence during Training From Home

Aal Hibsy / Arief Wibowo

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 4, Iss 4, Pp 618-

2020 Volume 626

Abstract: In the Covid-19 pandemic phase, some business processes were halted, adapted, and modified to deal with the policy of social restrictions. This impact is experienced by all levels of society, including athletes who are forced to do training from home ( ... ...

Abstract	In the Covid-19 pandemic phase, some business processes were halted, adapted, and modified to deal with the policy of social restrictions. This impact is experienced by all levels of society, including athletes who are forced to do training from home (Training From Home). Performance evaluation of athletes who do exercises from home must be able to be evaluated remotely, including in terms of presence during the exercise training program. Presence is one of the benchmarks of a person's level of performance or activity in terms of accuracy and discipline in a program of activities. Attendance activities in the form of check-in must be ensured safe and accurate, especially if there is data connectivity with the webserver. This study aims to implement security features with JSON Web Token (JWT) based on the 256 Hash algorithm. The research also implements geo-tagging features to obtain accurate coordinates based on location points. Athlete attendance data obtained by the presence of these features are then synchronized via web service using the REST architecture. All stages of implementation are then tested by the Black Box method, and the results show that JSON Web Token (JWT) is able to secure the authentication and data security process, while the Geo-tagging feature is capable of sending accurate position data. Testing the functionality of the web service shows that all features work well within 44.8 ms, while the positioning accuracy of the geo-tagging feature reaches an accuracy of 90.9%.
Keywords	presence ; restful ; web service ; geo-tagging ; json web token ; Systems engineering ; TA168 ; Information technology ; T58.5-58.64 ; covid19
Subject code	380
Language	Indonesian
Publishing date	2020-08-01T00:00:00Z
Publisher	Ikatan Ahli Indormatika Indonesia
Document type	Article ; Online
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Article: Low Serum 25-hydroxyvitamin D (Vitamin D) Level Is Associated With Susceptibility to COVID-19, Severity, and Mortality: A Systematic Review and Meta-Analysis.

Akbar, Mohammad Rizki / Wibowo, Arief / Pranata, Raymond / Setiabudiawan, Budi

Frontiers in nutrition

2021 Volume 8, Page(s) 660420

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2021-03-29
Publishing country	Switzerland
Document type	Systematic Review
ZDB-ID	2776676-7
ISSN	2296-861X
ISSN	2296-861X
DOI	10.3389/fnut.2021.660420
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Article ; Online: Sofosbuvir with daclatasvir and the outcomes of patients with COVID-19: a systematic review and meta-analysis with GRADE assessment.

Zein, Ahmad Fariz Malvi Zamzam / Sulistiyana, Catur Setiya / Raffaello, Wilson Matthew / Wibowo, Arief / Pranata, Raymond

Postgraduate medical journal

2023 Volume 98, Issue 1161, Page(s) 509–514

Abstract: Purpose: This systematic review and meta-analysis aimed to evaluate the effect of sofosbuvir/daclatasvir (SOF/DCV) on mortality, the need for intensive care unit (ICU) admission or invasive mechanical ventilation (IMV) and clinical recovery in patients ... ...

Abstract	Purpose: This systematic review and meta-analysis aimed to evaluate the effect of sofosbuvir/daclatasvir (SOF/DCV) on mortality, the need for intensive care unit (ICU) admission or invasive mechanical ventilation (IMV) and clinical recovery in patients with COVID-19. Methods: We performed a systematic literature search through the PubMed, Scopus and Embase from the inception of databases until 6 April 2021. The intervention group was SOF/DCV, and the control group was standard of care. The primary outcome was mortality, defined as clinically validated death. The secondary outcomes were (1) the need for ICU admission or IMV and (2) clinical recovery. The pooled effect estimates were reported as risk ratios (RRs). Results: There were four studies with a total of 231 patients in this meta-analysis. Three studies were randomised controlled trial, and one study was non-randomised. SOF/DCV was associated with lower mortality (RR: 0.31 (0.12, 0.78); p=0.013; I2: 0%) and reduced need for ICU admission or IMV (RR: 0.35 (0.18, 0.69); p=0.002; I2: 0%). Clinical recovery was achieved more frequently in the SOF/DCV (RR: 1.20 (1.04, 1.37); p=0.011; I2: 21.1%). There was a moderate certainty of evidence for mortality and need for ICU/IMV outcome, and a low certainty of evidence for clinical recovery. The absolute risk reductions were 140 fewer per 1000 for mortality and 186 fewer per 1000 for the need for ICU/IMV. The increase in clinical recovery was 146 more per 1000. Conclusion: SOF/DCV may reduce mortality rate and need for ICU/IMV in patients with COVID-19 while increasing the chance for clinical recovery. Protocol registration: PROSPERO: CRD42021247510.
MeSH term(s)	Humans ; COVID-19 ; GRADE Approach ; Imidazoles/therapeutic use ; Sofosbuvir/therapeutic use ; COVID-19 Drug Treatment/methods ; Controlled Clinical Trials as Topic
Chemical Substances	daclatasvir (LI2427F9CI) ; Imidazoles ; Sofosbuvir (WJ6CA3ZU8B)
Language	English
Publishing date	2023-04-08
Publishing country	England
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	80325-x
ISSN	1469-0756 ; 0032-5473
ISSN (online)	1469-0756
ISSN	0032-5473
DOI	10.1136/postgradmedj-2021-140287
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Article ; Online: Prognostic value of elevated lactate dehydrogenase in patients with COVID-19: a systematic review and meta-analysis.

Martha, Januar Wibawa / Wibowo, Arief / Pranata, Raymond

Postgraduate medical journal

2021 Volume 98, Issue 1160, Page(s) 422–427

Abstract: Purpose: This meta-analysis aimed to evaluate the prognostic performance of elevated lactate dehydrogenase (LDH) in patients with COVID-19.: Methods: A systematic literature search was performed using PubMed, Embase and EuropePMC on 19 November 2020. ...

Abstract	Purpose: This meta-analysis aimed to evaluate the prognostic performance of elevated lactate dehydrogenase (LDH) in patients with COVID-19. Methods: A systematic literature search was performed using PubMed, Embase and EuropePMC on 19 November 2020. The outcome of interest was composite poor outcome, defined as a combined endpoint of mortality, severity, need for invasive mechanical ventilation and need for intensive care unit care. Severity followed the included studies' criteria. Results: There are 10 399 patients from 21 studies. Elevated LDH was present in 44% (34%-53%) of the patients. Meta-regression analysis showed that diabetes was correlated with elevated LDH (OR 1.01 (95% CI 1.00 to 1.02), p=0.038), but not age (p=0.710), male (p=0.068) and hypertension (p=0.969). Meta-analysis showed that elevated LDH was associated with composite poor outcome (OR 5.33 (95% CI 3.90 to 7.31), p<0.001; I Conclusion: LDH was associated with poor prognosis in patients with COVID-19. Prospero registration number: CRD42020221594.
MeSH term(s)	COVID-19/diagnosis ; Diabetes Mellitus/epidemiology ; Humans ; Hypertension ; L-Lactate Dehydrogenase ; Lactate Dehydrogenases ; Male ; Prognosis
Chemical Substances	Lactate Dehydrogenases (EC 1.1.-) ; L-Lactate Dehydrogenase (EC 1.1.1.27)
Language	English
Publishing date	2021-01-15
Publishing country	England
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	80325-x
ISSN	1469-0756 ; 0032-5473
ISSN (online)	1469-0756
ISSN	0032-5473
DOI	10.1136/postgradmedj-2020-139542
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Article ; Online: Hypocalcemia is associated with severe COVID-19: A systematic review and meta-analysis.

Martha, Januar Wibawa / Wibowo, Arief / Pranata, Raymond

Diabetes & metabolic syndrome

2021 Volume 15, Issue 1, Page(s) 337–342

Abstract: Background and aims: Hypocalcemia is commonly in critically ill patients and studies have shown that hypocalcemia is prevalent in patients with COVID-19. This meta-analysis aimed to evaluate the prognostic performance of hypocalcemia in patients with ... ...

Abstract	Background and aims: Hypocalcemia is commonly in critically ill patients and studies have shown that hypocalcemia is prevalent in patients with COVID-19. This meta-analysis aimed to evaluate the prognostic performance of hypocalcemia in patients with coronavirus disease 2019 (COVID-19). Methods: We performed a systematic literature search on PubMed, Scopus, and Embase with keywords "SARS-CoV-2″ OR″COVID-19″ OR ″2019-nCoV" AND "hypocalcemia" up until 10 December 2020. The key exposure was hypocalcemia, defined as serum calcium below study-defined cut-off points. The main outcome was poor outcome, which was a composite of mortality and severity. The effect estimate of the main outcome was reported as odds ratio (OR) and its 95% confidence interval (95% CI). We also generate sensitivity, specificity, positive and negative likelihood ratio (PLR & NLR), diagnostic odds ratio (DOR), and area under curve (AUC). Results: There are 2032 patients from 7 studies included in this systematic review and meta-analysis. The incidence of poor outcome in this study was 26%. Serum calcium was lower in patients with poor outcome (mean difference -0.173 mmol/L [-0.259, -0.087], p < 0.001; I Conclusion: Hypocalcemia was associated with poor outcome in COVID-19 patients. Prospero id: CRD42020225506.
MeSH term(s)	COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/therapy ; Humans ; Hypocalcemia/diagnosis ; Hypocalcemia/epidemiology ; Hypocalcemia/therapy ; Randomized Controlled Trials as Topic/methods ; Severity of Illness Index
Language	English
Publishing date	2021-01-18
Publishing country	Netherlands
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	2273766-2
ISSN	1878-0334 ; 1871-4021
ISSN (online)	1878-0334
ISSN	1871-4021
DOI	10.1016/j.dsx.2021.01.003
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