Allan Desi Alexander

@ubharajaya.ac.id

Informatics, Computer Science Fakulty
Universitas Bhayangkara Jakarta Raya

Allan Desi Alexander


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https://researchid.co/allan512

RESEARCH INTERESTS

Networking, Software Development, Machine Learning, Data Mining, Artificial Intelligence, Computer Vision
5

Scopus Publications

164

Scholar Citations

7

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Combining Extreme Learning Machine and Linear Discriminant Analysis for Optimized Apple Leaf Disease Classification
    Parjito, Imam Ahmad, Rohmat Indra Borman, Allan D Alexander, Yessi Jusman
    Proceedings Ice3is 2024 4th International Conference on Electronic and Electrical Engineering and Intelligent System Leading Edge Technologies for Sustainable Societies, 2024
    Apple trees are an agricultural commodity with high economic value that often face serious challenges due to various leaf diseases. Early detection and proper treatment are crucial to reducing economic losses and ensuring healthy plant growth. Manual methods for detecting apple leaf diseases tend to be time-consuming and require specialized expertise, making them difficult to apply on a large scale. This study aims to develop an automatic classification system based on image processing to detect apple leaf diseases by combining Extreme Learning Machine (ELM) and Linear Discriminant Analysis (LDA) algorithms. ELM offers high training speed with randomly assigned weights, while LDA performs dimensionality reduction to retain the most relevant features, thereby improving model performance. The study results indicate that the combination of ELM and LDA produces a model capable of classifying apple leaf diseases with an accuracy of 92.50%, an improvement of 6.25% compared to using ELM alone. This demonstrates that the model is highly effective in classifying apple leaf diseases.
  • Sunflower Image Classification Using Multiclass Support Vector Machine Based on Histogram Characteristics
    Rini Nuraini, Rachmat Destriana, Desi Nurnaningsih, Yeni Daniarti, Allan Desi Alexander
    Jurnal Resti, 2023
    Sunflower is an important commodity in agriculture, besides being used as an ornamental plant, sunflower is an oil-producing plant and a source of industrial materials. In Indonesia, sunflower productivity is considered less than optimal, because knowledge and information about sunflowers are still lacking. Therefore, information is needed that can be used as an extension of knowledge about sunflowers itself, especially in Indonesia, which is a tropical region which is an area suitable for the growth of sunflowers. Sunflowers can actually be identified based on recognizable traits. However, the similar shape makes it difficult for some people to distinguish the types of sunflowers. This study aims to classify sunflower images using a first-order feature extraction algorithm using the characteristics of mean, skewness, variance, kurtosis, and entropy which are then used as input to the Multiclass SVM identification algorithm. Data points are mapped to dimensionless space using a Multiclass SVM to produce hyperplane-linear separation between each class. Based on the results of testing the accuracy of the model is able to perform classification with an average accuracy of 79%. These results show that the developed model can classify well.
  • Phishing Website Detection with Ensemble Learning Approach Using Artificial Neural Network and AdaBoost
    Akhas Rahmadeyan, Mustakim, Imam Ahmad, Allan Desi Alexander, Alkautsar Rahman
    2023 International Conference on Information Technology Research and Innovation Icitri 2023, 2023
    Phishing is one of the most serious security threats. Most phishing attacks occur on online transaction websites such as banking, commercial businesses, e-commerce, and more. This type of attack is increasing every day. More than 90% of data breaches are done by phishing. In addition, ransomware viruses can also be delivered through phishing. Phishing websites have a similar appearance and URL to official and popular websites, making them very difficult to identify. Almost 75% of phishing websites use Secure Sockets Layer certificates (SSL) so the SSL protocol does not guarantee the website is legitimate. This research performs phishing detection with a URL-based approach, where URL data that has been extracted features will be analyzed and learned with machine learning techniques. Artificial Neural Network and AdaBoost are implemented to learn patterns in the data. To maximize the modeling results, some tests are also conducted on the ANN parameters. Based on the results of the ANN and AdaBoost implementation in detecting phishing websites, the hybrid ANN-AdaBoost model is the best with an accuracy of 98.60%, precision of 98.95%, and recall of 99.31%. This shows that the use of a combination technique of ANN and AdaBoost is the right choice to detect and increase accuracy and effectiveness in avoiding phishing threats.
  • Identification of Pineapple Disease Based on Image Using Neural Network Self-Organizing Map (SOM) Model
    Imam Ahmad, Yuri Rahmanto, Rohmat Indra Borman, Farli Rossi, Yessi Jusman, Allan Desi Alexander
    Proceedings 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System Ice3is 2022, 2022
    Pineapple is one of the potential commodities in Indonesia. This is due to high market demand, potential suitable land in Indonesia and public awareness of fruit supply. The main factor of crop failure in pineapple plants is the delay in handling pineapple plant diseases. To identify in image processing requires class grouping. Self-Organizing Map (SOM) which divides the input pattern into several groups so that the network output is in the form of the group that is most similar to the given input. However, the SOM algorithm requires data input that characterizes an object to facilitate the identification process. So, in this study the SOM algorithm was improved through color feature extraction with parameters Red, Green, Blue, Hue, Saturation and Value, as well as texture feature extraction with parameters contrast, correlation, energy, and homogeneity in the Gray Level Co-occurrence Matrix (GLCM). Based on the results of tests carried out by the SOM algorithm with color and texture feature extraction parameters, it is able to assist in increasing the accuracy value. The results of testing the SOM model with color and texture feature extraction obtained a precision value of 93.33%, recall of 92.31% and accuracy of 92.78%.
  • Local Binary Pattern Histogram for Face Recognition in Student Attendance System
    Allan D Alexander, Ratna Salkiawati, Hendarman Lubis, Fathur Rahman, Herlawati Herlawati, Rahmadya Trias Handayanto
    2020 3rd International Conference on Computer and Informatics Engineering Ic2ie 2020, 2020
    Student attendance record has an important role in the educational process. Universitas Bhayangkara Jakarta Raya, as a case study, uses attendance record as the factor for final grade calculation. Many attendance recording systems were developed using biometrics, e.g. face recognition, iris recognition, and fingerprint recognition. In this study, face recognition was proposed since the face cannot be duplicated and can eliminate fraud committed by students. In addition, this contactless method could minimize the risk of COVID-19 spread with some additional treatments. The local binary pattern (LBP) was proposed in this study. This method has the ability to describe the texture and shape of an image by dividing the image into small portions of feature extraction. The result showed that the proposed system can identify students with 86% accuracy.

RECENT SCHOLAR PUBLICATIONS

  • EVALUASI RISIKO ISPA PADA RUMAH TINGGAL BERBASIS PM2. 5 DAN KELEMBABAN MENGGUNAKAN FUZZY LOGIC
    J Joniwarta, A Hidayat, AD Alexander, H Lubis
    Jurnal Manajamen Informatika Jayakarta 6 (2), 182-194 , 2026
    2026
  • ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING UNTUK MENDETEKSI MALICIOUS URL BERBASIS FITUR GANDA
    AD Alexander, J Warta, H Lubis, AR Mahbub, R Rasim
    Jurnal Manajamen Informatika Jayakarta 5 (3), 302-310 , 2025
    2025
  • Tata Kelola Teknologi Informasi Berbasis Keamanan Informasi ISO 27001:2022
    DH M. Hadi Prayitno, Allan D Alexander, Hendarman Lubis
    2025
  • IMPLEMENTASI ALGORITMA BINARY SEARCH PADA APLIKASI MANAJEMEN TUGAS SISWA BERBASIS WEB
    K Ashkiyyah, M Mugiarso, AD Alexander
    Kohesi: Jurnal Sains dan Teknologi 9 (5), 101-110 , 2025
    2025
  • Pengembangan Model Klasifikasi Citra Penyakit Daun Lada Menggunakan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ)
    A Sah, M Mulyadi, AD Alexander, AM Tanniewa
    Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 4 (1), 34-44 , 2025
    2025
    Citations: 5
  • Studi Perbandingan Model Keamanan Data pada Cloud Computing
    AD Alexander
    Journal of Informatic and Information Security 6 (2), 105-114 , 2025
    2025
    Citations: 1
  • Combining Extreme Learning Machine and Linear Discriminant Analysis for Optimized Apple Leaf Disease Classification
    I Ahmad, RI Borman, AD Alexander, Y Jusman
    2024 4th International Conference on Electronic and Electrical Engineering … , 2024
    2024
    Citations: 5
  • Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD)
    Y Yanuardi, L Azhari, AAJ Sinlae, AD Alexander
    J-INTECH 12 (1), 36-48 , 2024
    2024
    Citations: 7
  • Determining Sales Patterns Using the Apriori Algorithm: A Case Study of Unlocked Cafe's Website Applications
    R Sari, N Helmy, AD Alexander
    PIKSEL: Penelitian Ilmu Komputer Sistem Embedded and Logic 12 (1), 189-200 , 2024
    2024
  • IMPLEMENTASI METODE FUZZY UNTUK KLASIFIKASI TINGKAT KESEJAHTERAAN KELUARGA DI KECAMATAN LOURA
    N YUNITA, AR ANDREAS, A ALEXANDER
    POLYGON: JURNAL ILMU KOMPUTER DAN ILMU PENGETAHUAN ALAM Учредители: Asosiasi … , 2024
    2024
  • Prediksi Tahap Awal Penyakit Jantung Menggunakan Algoritma Random Forest (Studi Kasus RSIJ)
    TR Nangon, AD Alexander
    Dawatuna J. Commun. Islam. Broadcast 4 (4), 1561-1567 , 2024
    2024
    Citations: 6
  • Implementation of a Combination of Rank Reciprocal and Additive Ratio Assessment Approaches for 3D Printer Selection
    F Fatmayati, TG Soares, M Tonggiroh, AD Alexander
    Bulletin of Informatics and Data Science 2 (2), 115-124 , 2023
    2023
    Citations: 2
  • Analisis Churn Pelanggan Produk Fashion Campus Menggunakan Metode RFM Analysis dan Algoritma Naïve Bayes (Studi Kasus Yayasan Bakti Achmad Zaky)
    F Kamil, R Salkiawati, AD Alexander
    Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer , 2023
    2023
    Citations: 1
  • Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT
    W Priatna, AR Hamdani, AD Alexander
    The Indonesian Journal of Computer Science 12 (4) , 2023
    2023
    Citations: 3
  • Phishing website detection with ensemble learning approach using artificial neural network and adaboost
    A Rahmadeyan, I Ahmad, AD Alexander, A Rahman
    2023 international conference on information technology research and … , 2023
    2023
    Citations: 22
  • PENERAPAN METODE AHP DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PRODUK FURNITUR KAYU JATI (STUDI KASUS AGUNG JAYA MEBEL)
    ADA Prasojo, Agung Dwi, Hendrman Lubis
    Jurnal Informatika dan Teknik Elektro Terapan 11 (3) , 2023
    2023
    Citations: 1
  • Implementasi Algoritma K-Medoids Clustering Untuk Mencari Keuntungan Sementara Dalam Laporan Keuangan
    AO Hermadi, AD Alexander
    Jurnal Teknologi Dan Ilmu Komputer Prima (Jutikomp) 6 (1), 6-11 , 2023
    2023
    Citations: 7
  • Sunflower image classification using multiclass support vector machine based on histogram characteristics
    R Nuraini, R Destriana, D Nurnaningsih, Y Daniarti, AD Alexander
    Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7 (1), 146-152 , 2023
    2023
    Citations: 8
  • Sistem Pendukung Keputusan Pemilihan Wi-Fi Extender dengan Pendekatan Complex Proportional Assessment dan Rank Reciprocal
    N Nugroho, F Fatmayati, AD Alexander, M Tonggiroh
    Jurnal Sistem Komputer dan Informatika (JSON) Hal 278, 288 , 2023
    2023
    Citations: 3
  • Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi
    A Prasetya, R Salkiawati, AD Alexander
    Journal of Students ‘Research in Computer Science 4 (1), 105-118 , 2023
    2023
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Phishing website detection with ensemble learning approach using artificial neural network and adaboost
    A Rahmadeyan, I Ahmad, AD Alexander, A Rahman
    2023 international conference on information technology research and … , 2023
    2023
    Citations: 22
  • Multi-criteria decision making using the WASPAS method for online English course selection
    N Handayani, N Heriyani, F Septian, AD Alexander
    Jurnal Teknoinfo 17 (1), 260-270 , 2023
    2023
    Citations: 21
  • Identification of pineapple disease based on image using neural network self-organizing map (som) model
    I Ahmad, Y Rahmanto, RI Borman, F Rossi, Y Jusman, AD Alexander
    2022 2nd International Conference on Electronic and Electrical Engineering … , 2022
    2022
    Citations: 19
  • Perancangan Sistem Informasi Helpdesk Menggunakan Website Design Methode Dalam Mendukung Tata Kelola Teknologi Informasi
    RWP Pamnungkas, AD Alexander, A Reza
    J-SAKTI (Jurnal Sains Komputer dan Informatika) 3 (2), 201-211 , 2019
    2019
    Citations: 13
  • Klasifikasi Citra Jenis Tanaman Jamur Layak Konsumsi Menggunakan Algoritma Multiclass Support Vector Machine
    NL Chusna, MI Shalahudin, U Riyanto, AD Alexander
    Building of Informatics, Technology and Science (BITS) 4 (1) , 2022
    2022
    Citations: 9
  • Sunflower image classification using multiclass support vector machine based on histogram characteristics
    R Nuraini, R Destriana, D Nurnaningsih, Y Daniarti, AD Alexander
    Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7 (1), 146-152 , 2023
    2023
    Citations: 8
  • Local Binary Pattern Histogram for Face Recognition in Student Attendance System
    AD Alexander, R Salkiawati, H Lubis, F Rahman, H Herlawati, ...
    2020 3rd International Conference on Computer and Informatics Engineering … , 2020
    2020
    Citations: 8
  • Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD)
    Y Yanuardi, L Azhari, AAJ Sinlae, AD Alexander
    J-INTECH 12 (1), 36-48 , 2024
    2024
    Citations: 7
  • Implementasi Algoritma K-Medoids Clustering Untuk Mencari Keuntungan Sementara Dalam Laporan Keuangan
    AO Hermadi, AD Alexander
    Jurnal Teknologi Dan Ilmu Komputer Prima (Jutikomp) 6 (1), 6-11 , 2023
    2023
    Citations: 7
  • Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi
    A Prasetya, R Salkiawati, AD Alexander
    Journal of Students ‘Research in Computer Science 4 (1), 105-118 , 2023
    2023
    Citations: 7
  • Prediksi Tahap Awal Penyakit Jantung Menggunakan Algoritma Random Forest (Studi Kasus RSIJ)
    TR Nangon, AD Alexander
    Dawatuna J. Commun. Islam. Broadcast 4 (4), 1561-1567 , 2024
    2024
    Citations: 6
  • Pengembangan Model Klasifikasi Citra Penyakit Daun Lada Menggunakan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ)
    A Sah, M Mulyadi, AD Alexander, AM Tanniewa
    Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 4 (1), 34-44 , 2025
    2025
    Citations: 5
  • Combining Extreme Learning Machine and Linear Discriminant Analysis for Optimized Apple Leaf Disease Classification
    I Ahmad, RI Borman, AD Alexander, Y Jusman
    2024 4th International Conference on Electronic and Electrical Engineering … , 2024
    2024
    Citations: 5
  • Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT
    W Priatna, AR Hamdani, AD Alexander
    The Indonesian Journal of Computer Science 12 (4) , 2023
    2023
    Citations: 3
  • Sistem Pendukung Keputusan Pemilihan Wi-Fi Extender dengan Pendekatan Complex Proportional Assessment dan Rank Reciprocal
    N Nugroho, F Fatmayati, AD Alexander, M Tonggiroh
    Jurnal Sistem Komputer dan Informatika (JSON) Hal 278, 288 , 2023
    2023
    Citations: 3
  • Implementasi Canny Edge Detection Pada Aplikasi Pendeteksi Jalur Lalu Lintas
    R Salkiawati, AD Alexander, H Lubis
    Jurnal Media Informatika Budidarma 5 (1), 164 , 2021
    2021
    Citations: 3
  • Perancangan Sistem Informasi Pengatur Belanja Cafe Berbasis Web
    R Salkiawati, H Lubis, AD Alexander
    Seminar Nasional Teknologi Komputer & Sains (SAINTEKS) 1 (1), 33-37 , 2020
    2020
    Citations: 3
  • Implementation of a Combination of Rank Reciprocal and Additive Ratio Assessment Approaches for 3D Printer Selection
    F Fatmayati, TG Soares, M Tonggiroh, AD Alexander
    Bulletin of Informatics and Data Science 2 (2), 115-124 , 2023
    2023
    Citations: 2
  • Pelatihan Penggunaan Google Form Pada Posyandu Perumahan Harapan Baru 2 Bekasi
    AD Alexander, R Salkiawati
    Journal of Computer Science Contributions (Jucosco) 2 (1), 79-86 , 2022
    2022
    Citations: 2
  • Sistem Pendukung Keputusan Penerima Kredit dengan Fuzzy Multi-Atribute Decision Making Menggunakan Weighted Product (WP)
    Y Nuraeni, NL Chusna, MI Shalahudin, AD Alexander
    JURIKOM (Jurnal Riset Komputer) 8 (6), 184-190 , 2021
    2021
    Citations: 2