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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Informatika dan Teknik Elektro Terapan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknoinfo J-SAKTI (Jurnal Sains Komputer dan Informatika) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JSI (Jurnal sistem Informasi) Universitas Suryadarma CSRID (Computer Science Research and Its Development Journal) Building of Informatics, Technology and Science Cyber Security dan Forensik Digital (CSFD) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer J-Intech (Journal of Information and Technology) Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science Journal of Computer Science Contributions (Jucosco) The Indonesian Journal of Computer Science Journal of Informatics and Information Security KOMPUTASI Journal of Information Technology
Alexander, Allan D
Informatika; Universitas Bhayangkara Jakarta Raya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Materials Science & Nanotechnology

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Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD) Yanuardi, Yanuardi; Azhari, Lukman; Sinlae, Alfry Aristo Jansen; Alexander, Allan Desi
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1201

Abstract

The digital era has demanded efficient and responsive public services as a fundamental need for society, including in the aspect of service complaints. With the village office acting as an intermediary between the government and the public, challenges such as convoluted complaint procedures, lack of transparency, and resource limitations hinder the provision of responsive services. This research aims to address these issues through the development of a community service complaint system based on a website using the Rapid Application Development (RAD) method. RAD method was chosen for its ability to develop systems efficiently, with active user involvement, ensuring the system meets user needs. The research outcome is a community service complaint system based on a website, allowing the public to easily submit complaints, monitor their status, and view responses, while enabling officers to manage complaint data and provide direct responses. Usability testing of the system yielded an average score of 90.83%, indicating a high level of user satisfaction.
ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING UNTUK MENDETEKSI MALICIOUS URL BERBASIS FITUR GANDA Alexander, Allan Desi; Warta, Joni; Lubis, Hendarman; Mahbub, Asep Ramdhani; Rasim, Rasim
Jurnal Manajamen Informatika Jayakarta Vol 5 No 3 (2025): Jurnal Manajemen Informatika Jayakarta ( JMI Jayakarta)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v5i3.2101

Abstract

Malicious URL Detection (MUD) merupakan komponen esensial dalam pertahanan siber, mengingat kerugian finansial global yang disebabkan oleh phishing, penyebaran malware, dan serangan botnet IoT. Pendekatan tradisional seperti blacklisting terbukti tidak efektif melawan URL yang baru dibuat atau polymorphic. Penelitian ini menyajikan analisis komparatif ekstensif dari tiga kelas algoritma utama: Ensemble Learning (Random Forest/RF), Kernel Methods (Support Vector Machine/SVM), dan Deep Learning (DL), dalam mengklasifikasikan URL yang berpotensi berbahaya. Data yang digunakan bersumber dari repositori publik URLhaus, yang sangat fokus pada malware download, khususnya kampanye botnet Mozi dan Mirai. Metodologi studi ini menekankan pada rekayasa fitur multi-modal, yang menggabungkan fitur leksikal, berbasis host/domain, dan fitur berbasis metadata (tag malware). Kinerja model dievaluasi menggunakan metrik yang sensitif terhadap keamanan siber, yaitu Presisi, Recall, dan F1-Score, untuk meminimalisir False Negatives. Hasil analisis memperlihatkan bahwa meskipun model DL mencapai akurasi tertinggi, Random Forest menawarkan keseimbangan optimal antara kinerja deteksi yang kuat dan efisiensi komputasi, menjadikannya ideal untuk implementasi real-time dalam sistem deteksi ancaman. Malicious URL Detection (MUD) is an essential component of cyber defense, given the global financial losses caused by phishing, malware distribution, and IoT botnet attacks. Traditional approaches such as blacklisting have proven ineffective against newly created or polymorphic URLs. This study presents an extensive comparative analysis of three main classes of algorithms: Ensemble Learning (Random Forest/RF), Kernel Methods (Support Vector Machine/SVM), and Deep Learning (DL), in classifying potentially malicious URLs. The data used is sourced from the public repository URLhaus, which focuses heavily on download malware, specifically the Mozi and Mirai botnet campaigns. The study's methodology emphasizes multi-modal feature engineering, combining lexical, host/domain-based, and metadata-based features (malware tags). Model performance is evaluated using cybersecurity-sensitive metrics, namely Precision, Recall, and F1-Score, to minimize False Negatives. The analysis results show that although the DL model achieves the highest accuracy, Random Forest offers an optimal balance between strong detection performance and computational efficiency, making it ideal for real-time implementation in threat detection systems.
PENERAPAN METODE AHP DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PRODUK FURNITUR KAYU JATI (STUDI KASUS AGUNG JAYA MEBEL) Prasojo, Agung Dwi; Lubis, Hendarman; Alexander, Allan Desi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 11 No. 3 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3.3242

Abstract

Agung Jaya Mebel adalah usaha dagang yang memasarkan produk furnitur berbahan kayu jati merah di Bekasi. Namun, banyaknya jenis furnitur yang tersedia membuat pelanggan kesulitan dalam memilih produk yang tepat karena adanya berbagai variasi motif, kualitas dan ukuran terutama bagi pelanggan yang berasal dari luar kota yang ingin mencari produk ditoko tersebut. Untuk mengatasi tantangan tersebut, diperlukan suatu sistem yang dapat mengambil keputusan berdasarkan metode yang dapat memperhitungkan bobot relatif dari kriteria yang berbeda. Analytical Hierarchy Process adalah suatu metode yang digunakan untuk mengevaluasi dan membandingkan alternatif berdasarkan kriteria yang relevan. Hal ini memungkinkan pengembangan skor numerik untuk menentukan peringkat alternatif dari setiap alternatif yang memenuhi kriteria tertentu. Dalam pemilihan furnitur ini, AHP digunakan untuk mengevaluasi dan membandingkan furnitur berdasarkan kriteria yang relevan seperti harga, ukuran,  kualitas kayu dan kualitas ukiran, yang diterapkan dalam aplikasi sistem pendukung keputusan yang dibangun dengan PHP MySQL. Hal ini diharapkan akan meningkatkan kepuasan pelanggan serta memastikan bahwa furnitur yang dipilih sesuai dengan kebutuhan dan harapan mereka. Hasil dari sistem pendukung keputusan ini berupa nilai prioritas dari seluruh kriteria dan alternatif serta memberikan informasi rekomendasi produk ketika nilai total >= 0,45.
Pelatihan Penggunaan Google Form Pada Posyandu Perumahan Harapan Baru 2 Bekasi Alexander, Allan D; Salkiawati, Ratna
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 1 (2022): Januari 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/cjjgxs23

Abstract

Children are the next generation of the nation that will replace the previous generation, for that their development must be carefully considered, especially during the golden period of their life where this period is in the first 1000 days of their life which has an impact on children's physical and cognitive development. Posyandu is a health effort that is managed independently by the community in order to provide health services for mothers, babies and toddlers. The COVID-19 pandemic has brought posyandu activities to a halt, including the posyandu in the Perumahan Harapan Baru 2, Bekasi City. Google Form as an alternative to posyandu cards with the intention that posyandu activities, especially monitoring the growth of toddlers, can be carried out from house to house without having to create a crowd and still pay attention to health protocols, and in order to use them training needs to be made.
Pelatihan Penggunaan Multimedia Guna Meningkatkan Minat Belajar Pada Sekolah Advent Anggrek Alexander, Allan D; Warta, Joni
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/60htf056

Abstract

The Anggrek Adventist School was established in 1985 and currently consists of 2 educational units, namely the Anggrek Adventist Elementary School and the Anggrek Adventist Junior High School, this school is located at Jl. Orchid no. 17 Koja Tanjung Priok, North Jakarta and has a total of 152 students. Most of the students come from families with low socioeconomic status. In several studies, the socioeconomic conditions of parents affect students' learning requests where the low economic and social conditions of parents will make it difficult for students to develop themselves compared to the condition of parents of students whose socio-economic conditions are better because they are able to support the educational needs of their children so that can motivate students to study well. The use of audio-visual media can increase interest in learning by using audio-visual media, students will experience interesting things from the previous situation, based on research that has been done showing that the use of audio-visual (multimedia) can increase student interest in learning and for those services activities to This community will focus on training the use of multimedia to increase interest in learning in Orchid Adventist School students, and the multimedia application that will be used is wordwall where the use of this application can increase student participation in learning and it is hoped that with increasing student participation in the learning process, interest will also increase. students to take lessons.
Sistem Pendukung Keputusan Pemilihan Wi-Fi Extender dengan Pendekatan Complex Proportional Assessment dan Rank Reciprocal Nugroho, Nurhasan; Fatmayati, Fryda; Alexander, Allan Desi; Tonggiroh, Mursalim
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6984

Abstract

A Wi-Fi Extender is a device needed to expand the range and improve the quality of the Wi-Fi signal. To determine the choice, decision makers must know one by one the specifications of the existing products. This results in making decisions difficult and requiring a long time. So the aim of this research is to develop a decision support system for choosing a Wi-Fi Extender using the Rank Reciprocal and COPRAS (Complex Proportional Assessment) weighting approach to make it easier to make decisions in a relatively short time. The Rank Reciprocal approach is used to rank or weight the criteria given by decision makers. Meanwhile, the COPRAS approach is used to obtain the best alternative which is evaluated by calculating the effectiveness index directly proportional to the criteria considered to provide benefits and costs. Based on the case study that was carried out, the highest utility result was obtained, namely the Mercusys MW300RE (A4) which obtained a score of 100. The output produced by the decision support system in the case study that was carried out obtained the same score as manual calculations. Apart from that, the usability testing results obtained an average value of 88.75%. This shows that the system is declared suitable for use because it is in accordance with its function and use.
Analisis Churn Pelanggan Produk Fashion Campus Menggunakan Metode RFM Analysis dan Algoritma Naïve Bayes (Studi Kasus Yayasan Bakti Achmad Zaky) Kamil, Fauzan; Salkiawati, Ratna; Alexander, Allan D.
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 7 No 2 (2023)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v7i2.629

Abstract

Pelanggan yang loyal memiliki dampak positif bagi perusahaan, baik melalui pembelian berulang maupun rekomendasi produk kepada orang lain. Namun, dalam dunia bisnis, terdapat berbagai faktor yang dapat mempengaruhi keputusan pelanggan untuk beralih ke pesaing, seperti harga, kualitas produk, dan pelayanan. Oleh karena itu, penting bagi perusahaan untuk memahami perilaku pelanggan dan mengambil keputusan strategis guna mempertahankan dan meningkatkan loyalitas mereka. Dalam penelitian ini, metode RFM (Recency, Frequency, Monetary) dan Naïve Bayes digunakan untuk menganalisis perilaku pelanggan dan memprediksi churn (berhenti berlangganan) pelanggan. Pendekatan CRISP-DM digunakan dalam langkah-langkah penyelesaiannya, mencakup tahapan pemahaman bisnis, pemahaman data, persiapan data, pemodelan, evaluasi, dan implementasi. Melalui analisis RFM, berhasil diidentifikasi 5 segmen pelanggan yang berbeda, yaitu at-risk customers, best customers, lost customers, loyal customers, dan promising customers. Setiap segmen memiliki karakteristik dan kecenderungan perilaku yang berbeda, memberikan wawasan berharga bagi perusahaan dalam memahami kebutuhan dan preferensi pelanggan. Hasil evaluasi Naïve Bayes menunjukkan bahwa model yang disimpan dalam format pickle memiliki performa yang setara dengan model yang telah diuji sebelumnya. Tingkat akurasi, recall, dan fl-score model tersebut sekitar 0.81 atau 81%, menunjukkan tingkat keakuratan yang baik dalam memprediksi churn pelanggan. Penggunaan model pickle memberikan keuntungan bagi perusahaan dalam hal efisiensi waktu dan biaya.
Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD) Yanuardi Yanuardi; Lukman Azhari; Alfry Aristo Jansen Sinlae; Allan Desi Alexander
J-INTECH ( Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1201

Abstract

The digital era has demanded efficient and responsive public services as a fundamental need for society, including in the aspect of service complaints. With the village office acting as an intermediary between the government and the public, challenges such as convoluted complaint procedures, lack of transparency, and resource limitations hinder the provision of responsive services. This research aims to address these issues through the development of a community service complaint system based on a website using the Rapid Application Development (RAD) method. RAD method was chosen for its ability to develop systems efficiently, with active user involvement, ensuring the system meets user needs. The research outcome is a community service complaint system based on a website, allowing the public to easily submit complaints, monitor their status, and view responses, while enabling officers to manage complaint data and provide direct responses. Usability testing of the system yielded an average score of 90.83%, indicating a high level of user satisfaction.
Studi Perbandingan Model Keamanan Data pada Cloud Computing Alexander, Allan Desi
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/01vjnj44

Abstract

Layanan komputasi awan (cloud computing) telah menjadi tulang punggung transformasi digital global, menawarkan skalabilitas, efisiensi biaya, dan fleksibilitas yang belum pernah ada sebelumnya. Namun, perpindahan data dari infrastruktur lokal ke lingkungan pihak ketiga yang bersifat multi-tenant menimbulkan kekhawatiran serius terhadap keamanan dan privasi data. Laporan penelitian ini menyajikan analisis komprehensif mengenai perbandingan model keamanan data dalam ekosistem cloud, mencakup aspek kriptografi, mekanisme kontrol akses, dan strategi manajemen risiko. Melalui tinjauan literatur sistematis terhadap studi yang terindeks Scopus dan SINTA antara tahun 2013 hingga 2025, penelitian ini mengevaluasi kinerja algoritma enkripsi seperti AES, RSA, dan ECC, serta membandingkan efektivitas model Role-Based Access Control (RBAC) dan Attribute-Based Access Control (ABAC). Temuan utama menunjukkan bahwa algoritma simetris seperti AES unggul dalam kecepatan dan efisiensi memori untuk data massal, sementara model asimetris seperti RSA lebih optimal untuk manajemen kunci. Dalam hal kontrol akses, ABAC menawarkan fleksibilitas yang lebih tinggi untuk lingkungan dinamis dibandingkan RBAC yang bersifat statis, meskipun memiliki kompleksitas implementasi yang lebih besar. Penelitian ini juga menyoroti peran teknologi mutakhir seperti blockchain, machine learning, dan federated learning dalam memperkuat postur keamanan cloud serta memberikan kerangka kerja manajemen risiko bagi organisasi yang melakukan migrasi data..  
Pengembangan Model Klasifikasi Citra Penyakit Daun Lada Menggunakan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ) Andrian Sah; Mulyadi Mulyadi; Allan Desi Alexander; Adam M Tanniewa
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 1 (2025): Volume 4 Nomor 1 March 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i1.53

Abstract

Lada (Piper nigrum) adalah komoditas pertanian bernilai tinggi, namun rentan terhadap penyakit daun akibat infeksi jamur, bakteri, atau hama. Identifikasi dini penting untuk mencegah penurunan hasil panen, namun metode konvensional berbasis observasi visual sering subjektif dan membutuhkan keahlian khusus. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan model klasifikasi penyakit daun lada menggunakan jaringan syaraf tiruan Learning Vector Quantization (LVQ) berbasis pengolahan citra digital. Proses penelitian dimulai dengan preprocessing, yang mencakup konversi ke ruang warna CIELAB untuk meningkatkan kontras, segmentasi menggunakan Otsu Thresholding, serta ekstraksi fitur warna dengan Mean Color dan fitur tekstur menggunakan Gray Level Co-occurrence Matrix (GLCM). Hasil ekstraksi fitur ini kemudian digunakan sebagai masukan untuk algoritma LVQ, yang melakukan klasifikasi berdasarkan pembelajaran vektor prototipe. Hasil evaluasi menunjukkan bahwa model LVQ yang dikembangkan mencapai tingkat akurasi keseluruhan sebesar 90,83%. Model menunjukkan performa terbaik dalam mengenali daun sehat dengan Precision, Recall, dan F1-Score sebesar 96,67%. Sementara itu, kelas Anthracnose memiliki Precision terendah sebesar 87,01%, dan kelas Leaf Blight menunjukkan Recall terendah sebesar 86,67% serta F1-Score terendah sebesar 88,14%. Meskipun terdapat variasi kinerja antar kelas, model ini terbukti efektif dalam menangani dataset terbatas, memiliki kemampuan klasifikasi yang baik terhadap data non-linear, serta memungkinkan interpretasi keputusan klasifikasi yang lebih jelas.
Co-Authors Adam M Tanniewa Adiningrat, Feru Agung Dwi Prasojo Ajie Prasetya Alfry Aristo Jansen Sinlae Andrian Sah Annisa Oktavianti Hermadi Asep R. Hamdani Azhari, Lukman Chusna, Nuke L. Daniarti, Yeni Destriana, Rachmat Dwi Budi Srisulistiowati Fajar Septian Fauzan Kamil Firdaus, Imansyah Abinda Fryda Fatmayati Hamdani, Asep R. Helmy, Nur Hendarman Lubis Hendarman Lubis Joniwarta Joniwarta Kamil, Fauzan Lestari, Tyastuti Sri Lubis, Hendarman Lukman Azhari Mahbub, Asep Ramdhani Mulyadi Mulyadi Nofitri Heriyani Novi Wulandari Nurdiana Handayani Nurfiyah Nurhasan Nugroho nurnaningsih, Desi Pamnungkas, R Wisnu Prio Prasetya, Ajie Prasojo, Agung Dwi Priatna , Wowon Rafika Sari Rasim, Rasim Ratna Salkiawati Reza, Ali Rini Nuraini Riyanto, Umbar Shalahudin, Mohammad Imam Soares, Teotino Gomes Tonggiroh, Mursalim Yanuardi Yanuardi Yanuardi Yanuardi