Alhadi Bustamam

Alhadi Bustamam
University of Indonesia | UI · Department of Mathematics

PhD

About

144
Publications
23,335
Reads
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799
Citations
Citations since 2017
126 Research Items
750 Citations
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2017201820192020202120222023050100150200250
2017201820192020202120222023050100150200250
Introduction
High Performance Sequence Alignment Algorithm Project. Biological Networks, Protein Database Searches and DNA Sequences Analysis, Biomedical Informatics, Data Science for Big Data Analysis, Artificial Intelligence for Health, Intelligent Healthcare.
Additional affiliations
February 1997 - present
University of Indonesia
Position
  • Head of Department, Senior Lecturer, and Researcher
Education
February 2006 - October 2010
The University of Queensland
Field of study
  • Bioinformatics
September 1999 - July 2002
University of Indonesia
Field of study
  • Parallel Computing
September 1991 - July 1996
University of Indonesia
Field of study
  • Computational Mathematics

Publications

Publications (144)
Article
Full-text available
span lang="EN-US">Protein interactions play an essential role in the study of how an organism can be infected with a disease and also its effects. One of the challenges in computational methods in the prediction of protein-protein interactions is how to represent a sequence of amino acids in a vector so that it can be used in machine learning to cr...
Article
Full-text available
HIV-1 is a virus that destroys CD4 + cells in the body's immune system, causing a drastic decline in immune system performance. Analysis of HIV-1 gene expression data is urgently needed. Microarray technology is used to analyze gene expression data by measuring the expression of thousands of genes in various conditions. The gene expression series d...
Conference Paper
The current dangerous viral disease is COVID-19. This viral disease can spread quickly and not only to humans, but animals can also contract the COVID-19 virus disease. Until now, the spread of the COVID-19 virus has not been able to stop. The COVID-19 virus disease is mostly caused by lung infections. To diagnose COVID-19 virus disease with more e...
Article
Full-text available
Fundus image is an image that captures the back of the eye (retina), which plays an important role in the detection of a disease, including diabetic retinopathy (DR). It is the most common complication in diabetics that remains an important cause of visual impairment, especially in the young and economically active age group. In patients with DR, e...
Article
Full-text available
In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The results of the chatbot program trial by multimodal imp...
Article
Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 diabetes mellitus; however, some classes of these drugs exert side effects, including joint pain and pancreatitis. Studies suggest that these side effects might be related to secondary inhibition of DPP-8 and DPP-9. In this study, we identified DPP-4...
Article
Full-text available
Based on various reports of COVID-19 caused by a coronavirus, this disease causes numerous problems. There are many factors that can contribute to the rapid spread of COVID-19. In this study, multi-model application is used to identify the association among various variables that cause COVID-19. The use of programmes, artificial intelligence and in...
Article
Full-text available
Python programme contains a question and answer system that derived from data sets that have used and implemented the chatbot in this modern era. where the data collected is in the form of corpuses containing extensive metadata-rich fictional conversations derived from extracted film scripts, commonly called cornell movie dialogue corpus. The vario...
Article
Full-text available
Background New dipeptidyl peptidase-4 (DPP-4) inhibitors need to be developed to be used as agents with low adverse effects for the treatment of type 2 diabetes mellitus. This study aims to build quantitative structure-activity relationship (QSAR) models using the artificial intelligence paradigm. Rotation Forest and Deep Neural Network (DNN) are u...
Article
Full-text available
In Indonesia, dengue has become one of the hyperendemic diseases. Dengue consists of three clinical phases—febrile phase, critical phase, and recovery phase. Many patients have died in the critical phase due to the lack of proper and timely treatment. Therefore, we developed models that can predict the severity level of dengue based on the laborato...
Preprint
Full-text available
Background: New dipeptidyl peptidase-4 (DPP-4) inhibitors need to be developed to be used as agents with low adverse effects for the treatment of type 2 diabetes mellitus. This study aims to build quantitative structure-activity relationship (QSAR) models using the artificial intelligence paradigm. Random Forest and Deep Neural Network are used to...
Article
Full-text available
Several of the DPP-4 inhibitors in the treatment of type 2 diabetes (T2DM) still have unsafe side effects in long-term use. It is necessary to develop a new DPP-4 inhibitor to minimize these unsafe side effects of the drug. QSAR is a model that can be used for the development of DPP-4 inhibitor drugs. The selection of a subset of DPP-4 inhibitor mo...
Article
Full-text available
Dipeptidyl peptidase-IV (DPP-IV) inhibitor is one of the drug targets for the treatment of diabetes. Some classes of those drugs have dangerous side effects so is critical to develop safer drugs. By using rotation forest methods and in silico, it will be more efficient than conventional methods that require a lot more costs and are more time-consum...
Article
Full-text available
Dengue is one of the endemic diseases in Indonesia. Dengue is being suffered by many people, regardless of their gender and age. Therefore, research about dengue based on dengue patients’ data was conducted. There was a lot of information written in that data regarding the corresponding patients and the dengue they had suffered, such as gender, age...
Article
Full-text available
This paper investigates a deep learning method in image classification for the detection of colorectal cancer with ResNet architecture. The exceptional performance of a deep learning classification incites scholars to implement them in medical images. In this study, we trained ResNet-18 and ResNet-50 on colon glands images. The models trained to di...
Conference Paper
Full-text available
In the modern world, chatbot programs are implementations that can be used to store data collected through a question and answer system and then can be applied in the Python program to optimize the results based on highly rated questions asked in a service center. The application of chatbots in the Python program can use various models. Specificall...
Conference Paper
Full-text available
The deep learning method is a promising computational technique, especially for image classification problems. One of them is the Convolutional Neural Network (CNN), which is the most popular neural network model used and can understand enough the data. Although CNN is highly accurate, overfitting is a problem that frequently occurred. It could pre...
Conference Paper
A chronic metabolic disease that often affects adults is type 2 diabetes. Dipeptidyl peptidase-IV (DPP-IV) inhibitors are drug targets for diabetes mellitus type 2 (T2DM) that can block the enzyme dipeptidyl peptidase-IV. At this time, there are adverse effects from these inhibitors. Therefore, novel DPP-IV inhibitors are still expected with minima...
Conference Paper
Acataract is an eye disease that is the leading cause of blindness. Based on Vision 2020 predicted, about 1,270 people each day will become blind because of it. Therefore, there needs to be a way to identify cataracts for its prevention. The fundus image datasets are from the Kaggle dataset, which is consists of normal fundus images and cataract fu...
Conference Paper
Dipeptidyl peptidase-4 (DPP-4) inhibitor is an important target Diabetes Mellitus (DM) drug discovery. A quantitative Structure-activity Relationship (QSAR) model using molecular descriptors can be developed with the Machine Learning (ML) approach which Extreme Gradient Boosting (XGBoost) represents one of the most promising tools to establish it....
Conference Paper
Full-text available
The Classification of microarray data are a challenging task because it has many features (genes) and a few samples in gene expression data. Feature selection on microarray data is very important processing in the classification method. Feature selection can produce fewer features to improve classification accuracy in high dimensional data. In this...
Conference Paper
Full-text available
Dengue is one of the endemic diseases in Indonesia. Dengue is being suffered by many people, regardless of their gender and age. Therefore, a research about dengue based on a dengue patients’ data is conducted. There was a lot of information written in that data regarding the corresponding patients and the dengue they had suffered, such as gender,...
Conference Paper
Full-text available
Hepatocellular Carcinoma is one of the cancer disease cases with a high dead population. To know that someone is affected by Hepatocellular Carcinoma Tumor by observing the expression of genes on DNA. Gene expression obtained from the microarray laboratory tool that produced genes probe. In this case, there are 54675 gene expressions with 40 sample...
Conference Paper
In 2016, diabetes mellitus type two (T2DM) was one of the leading death causes. The T2DM treatment added inhibitors of the dipeptidyl peptidase-4 (DPP-IV) to the algorithm. Today, DPP-IV inhibitors' marketed forms still have adverse side effects. In this research, we propose the K-means clustering algorithm for the cluster analysis technique by fir...
Conference Paper
Diabetic retinopathy (DR) is one of the leading causes of blindness from diabetic patients. To prevent blindness and provide an effective treatment, an early detection of DR is needed. Methods for detecting DR by manual inspections exist, but very time-consuming and tedious work. In this study, DR detection method is proposed, by using Shallow Lear...
Conference Paper
Full-text available
Chronic obstructive pulmonary disease (COPD) is one of diseases that could cause a problem of significant concomitant chronic disease which increases morbidity and mortality. COPD is characterized by airflow resistance in the airways caused by airway abnormalities or anatomical abnormalities of the lungs or a combination of both. One complication t...
Article
Full-text available
Classification methods have been frequently used in various aspects, including bioinformatics. One of it’s purpose of this classification is to determine phase level of a disease. This research will classify the phase of plasmodium falciparum parasite which causes malaria. The disease is spread by an infected female Anopheles mosquito, which contai...
Article
Full-text available
A complete blood test is one of a series of initial examinations of cancer patients that is relatively easy. The use of blood measurement components in analysing patient conditions is commonly used. However, it is not the case for the ratio and inter-ratio components of blood measurements, and this is what is proposed in this study. The built hypot...
Article
Full-text available
Biclustering, in general, is a process of clustering genes and conditions simultaneously rather than clustering them separately. The purpose of biclustering is to discover a subset from experimental data. Further, biclustering results can be analyzed from a biological perspective. Biclustering can also be used for protein-protein interaction. In pr...
Preprint
Full-text available
Background: Dipeptidyl Peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 diabetes mellitus, but some classes of these drugs have side effects such as joint pain that can become severe to pancreatitis. It is thought that these side effects appear related to their inhibition against enzymes DPP-8 and DPP-9. Obje...
Preprint
Full-text available
Background: Dipeptidyl Peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 diabetes mellitus, but some classes of these drugs have side effects such as joint pain that can become severe to pancreatitis. It is thought that these side effects appear related to their inhibition against enzymes DPP-8 and DPP-9. Obje...
Conference Paper
Full-text available
Data cleaning is one step in the preprocessing which in the process often found missing values in the dataset. Missing values is the condition of the absence of data items on a subject. A quick step that can be taken to handle missing values is to remove data containing missing values, but this can reducing information in the data. Another way to h...
Article
Full-text available
Background: There are two significant problems associated with predicting protein-protein interactions using the sequences of amino acids. The first problem is representing each sequence as a feature vector, and the second is designing a model that can identify the protein interactions. Thus, effective feature extraction methods can lead to improv...
Article
This paper presents a new approach to ameliorate the Markov Cluster algorithm for predicting figure coalition for 2019 Indonesian Presidential Election. The proposed method is the modification of the Markov Clustering algorithm. First, 20 figures are collected to form a 20 x 20 matrix. Second, the entries of the matrix are scored by 0, 1, 2, or 3 conc...
Article
Full-text available
Hierarchical Ordered Partitioning And Collapsing Hybrid (HOPACH) is one of the powerful clustering methods which combine the strengths of partitioning and agglomerative clustering methods. Several partition clustering methods such as PAM, K-Means, SOM, or other partitioning algorithms can be used in the partitioning process. This process is followe...
Conference Paper
Protein is an important part of the organism. Proteins must interact with others to perform its functions properly. One of the interactions between proteins is the interactions between HIV-1 proteins and human proteins. Although HIV-1 and human proteins interact, we need to do depth analysis because some of the HIV-1 proteins do not interact with h...
Conference Paper
Full-text available
Alzheimer’s is a disease chronic neuro-degenerative progressive disorder in the adult human brain that tends to be old and which causes memory, thought and behavior problems and the most common causes of dementia that usually worsen over time. The microarray data of AD gene expression were taken from six different brain regions size 54675 id probes...
Conference Paper
Some of the protein interactions are still unidentified. Thus, many research about protein interactions had been held. HIV-1 is a dangerous virus that has no medicine yet. The research about HIV-1 proteins and human proteins interactions leads to the insight of drug target prediction. Biclustering technique is the beginning step before the predicti...