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Prediksi Website Pemancing Informasi Penting Phising Menggunakan Support Vector Machine (SVM) Zuhri Halim
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 2 No 1 (2017): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2017)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.134 KB)

Abstrak: Perkembangan teknologi informasi dan komunikasi khususnya internet berdampak pada semua sektor kehidupan manusia tidak terkecuali dengan sektor perbankan dan keuangan. Selain memberikan dampak positif dengan dipermudahnya pelanggan dalam proses transaksi yang dapat dilakukan kapanpun dan di manapun tanpa dibatasi oleh ruang dan waktu menggunakan media internet, juga membawa potensi besar terhadap pihak-pihak yang tak bertanggungjawab untuk melakukan pencurian data dan informasi penting, salah satunya dengan teknik phishing, sehingga metode untuk mendeteksi serangan situs phishing memerlukan perhatian serius. Dalam penelitian ini penulis telah melakukan memberikan gambaran metode yang paling akurat untuk mendeteksi website phishing dengan membandingkan tiga metode antara lain Support Vector Machine, Naïve Bayes, dan Decision Tree menggunakan dataset publik dari UCI Machine Learning Repository (www.uci.edu) yang dioptimasi dengan feature selection dan diolah menggunakan program RapidMiner. Hasil penelitian menunjukan bahwa metode Decision Tree mempunyai tingkat akurasi sebesar 91,84%, metode Naïve Bayes sebesar 74,07% dan Support Vector Machine sebesar 92,34%. Hal ini menunjukan bahwa metode Support Vector Machine mempunyai tingkat akurasi yang paling tinggi.. Kata Kunci: Decision Tree, Naïve Bayes, Phishing, Support Vector Machine Abstract: The development of information and communication technologies, especially the Internet, have an impact in all sectors of human life with exception in the banking and financial sectors in addition to a positive impact to make essier customer in the transaction process that can do anytime and anywhere without being limited by space and time using the internet, it also brings great potential against parties not responsible for the theft of critical data and information, one of them with phishing techniques, so the method for detecting a phishing site requires serious attention. In this study the authors try to give an overview of the most accurate methods to detect phishing websites to compare three methods such as Support Vector Machine, Naïve Bayes, and Decision Tree using public datasets from the UCI Machine Learning Repository (www.uci.edu) optimized with feature selection and processed using RapidMiner program that showed Decision Tree has a accuracy rate of 91.84%, Naïve Bayes method amounted to 74.07% and Support Vector Machine by 92.34%. Hereby declare that the method of Support Vector Machine has the highest degree of accuracy. Keyword: Decision Tree, Naïve Bayes, Phishing, Support Vector Machine

Prediksi Website Pemancing Informasi Penting Phising Menggunakan Support Vector Machine (SVM) Zuhri Halim
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 2 No 1 (2017): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2017)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.134 KB)

Abstrak: Perkembangan teknologi informasi dan komunikasi khususnya internet berdampak pada semua sektor kehidupan manusia tidak terkecuali dengan sektor perbankan dan keuangan. Selain memberikan dampak positif dengan dipermudahnya pelanggan dalam proses transaksi yang dapat dilakukan kapanpun dan di manapun tanpa dibatasi oleh ruang dan waktu menggunakan media internet, juga membawa potensi besar terhadap pihak-pihak yang tak bertanggungjawab untuk melakukan pencurian data dan informasi penting, salah satunya dengan teknik phishing, sehingga metode untuk mendeteksi serangan situs phishing memerlukan perhatian serius. Dalam penelitian ini penulis telah melakukan memberikan gambaran metode yang paling akurat untuk mendeteksi website phishing dengan membandingkan tiga metode antara lain Support Vector Machine, Naïve Bayes, dan Decision Tree menggunakan dataset publik dari UCI Machine Learning Repository (www.uci.edu) yang dioptimasi dengan feature selection dan diolah menggunakan program RapidMiner. Hasil penelitian menunjukan bahwa metode Decision Tree mempunyai tingkat akurasi sebesar 91,84%, metode Naïve Bayes sebesar 74,07% dan Support Vector Machine sebesar 92,34%. Hal ini menunjukan bahwa metode Support Vector Machine mempunyai tingkat akurasi yang paling tinggi.. Kata Kunci: Decision Tree, Naïve Bayes, Phishing, Support Vector Machine Abstract: The development of information and communication technologies, especially the Internet, have an impact in all sectors of human life with exception in the banking and financial sectors in addition to a positive impact to make essier customer in the transaction process that can do anytime and anywhere without being limited by space and time using the internet, it also brings great potential against parties not responsible for the theft of critical data and information, one of them with phishing techniques, so the method for detecting a phishing site requires serious attention. In this study the authors try to give an overview of the most accurate methods to detect phishing websites to compare three methods such as Support Vector Machine, Naïve Bayes, and Decision Tree using public datasets from the UCI Machine Learning Repository (www.uci.edu) optimized with feature selection and processed using RapidMiner program that showed Decision Tree has a accuracy rate of 91.84%, Naïve Bayes method amounted to 74.07% and Support Vector Machine by 92.34%. Hereby declare that the method of Support Vector Machine has the highest degree of accuracy. Keyword: Decision Tree, Naïve Bayes, Phishing, Support Vector Machine

Ethics-Based Leadership in Managing Information Security and Data Privacy Zuhri Halim; Ngurah Pandji Mertha Agung Durya; Kraugusteeliana Kraugusteeliana; Suherlan Suherlan; Ayu Latifah Alfisyahrin
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13018

In the advancing digital age, technological transformation has created endless opportunities for efficiency, innovation and connectivity. However, behind these advancements lie significant challenges related to information security and data privacy. Adverse data breaches and cyber-attacks have reminded us of the vulnerabilities inherent in today's digital environment. Therefore, protecting information security and data privacy has become a top priority for organisations around the world. This research aims to explore how ethical leaders can influence decision-making and practices related to information security and data privacy. This research is a literature review that adopts a qualitative method approach, which means it will analyse and interpret data by relying on information and text from various sources. The study results arrive at a statement that ethical leaders ensure that technical aspects and ethical values go hand in hand in making decisions related to information security and data privacy. Through ethics-based leadership, organisations are able to build a culture that cares about data privacy, create a secure and transparent environment for customers and users, and comply with increasingly stringent regulations. The trust of customers and business partners built through ethical practices in information and data management will be a competitive advantage for organisations in the ever-changing digital age.

Perancangan Sistem Informasi Fasilitas Fitness Gym Berbasis Website Menggunakan Codeigniter Muhammad Ridwan; Zuhri Halim
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1039

In the era of advancing information technology, effective data and information processing is crucial. Especially in the fitness field, tools such as computers and web-based applications have become integral. This research aims to improve the methods used by Gym Predator. Using a waterfall technique approach consisting of five stages: requirements, design, implementation, testing, and maintenance, this research developed a web-based application using the CodeIgniter framework. This application is customized to the specific needs of Gym Predator. The findings are presented in the form of a website that not only meets the demands of the gym, but also enhances the user experience in finding information and using the gym's services. Continuous evaluation and enhancement of the website will increase user interactivity, provide clearer information, and improve navigation. The findings of this study not only contribute to designing and developing better gym websites, but also underscore the importance of positive user experience in the fitness industry.

Design and implementation of augmented reality technology in m-commerce based creative patents Zuhri Halim; Muhammad Fatkhur Rahman
Enrichment : Journal of Management Vol. 13 No. 3 (2023): August: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i3.1596

This research became carried out on Jl. Narogong, Perum. Limus Pratama Regensi, Blok A No.27 – Cileungsi, West Java in June 2019 via interviewing Creative Patent owners due to the fact the advertising gadget for Creative Patent merchandise handiest uses social media and sales facts series is still guide. The purpose of this studies is to provide a sales software this is able to introduce and market merchandise efficaciously with augmented fact functions, assist in recapping orders to minimize communication mistakes and make it simpler to find product income statistics extra successfully. M-commerce programs built based on cellular programs for users and web sites for admins. The research methodology used is the intense programming method and is designed the use of the Unifield Modeling Language (UML). The results of testing records using a questionnaire tool show a median value of eighty four.Eight%. The conclusion of this observe M-commerce programs designed for mobile make it clean for Creative Patent clients to access records related to shopping for and promoting transactions whenever and anywhere they're.

Rancang Bangun Sistem Informasi Pengelolaan Data Pegawai Menggunakan Geolocation Berbasis Website Ananda Prasta; Zuhri Halim
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1535

The development of information technology has been highly significant, enabling users to access data or information quickly, effectively, and accurately. However, the company's data management system still relies on manual methods, including attendance and payroll systems, leading to administrative inefficiencies and an increased potential for errors in record-keeping and accounting. This research aims to design a web-based information system with geolocation technology, employing a waterfall methodology involving requirements analysis, design, implementation, testing, and maintenance. Developed using the Codeigniter framework, this web application is tailored to the company's specific needs while considering employee requirements. A new paradigm in human resource management encourages the creation of effective web-based solutions for employee payroll and attendance. Geolocation is implemented as a security measure, with a specific radius limitation. The web application development process follows a waterfall methodology, involving requirements analysis, design, implementation, testing, and maintenance. The application is expected to provide an innovative and practical solution for managing payroll and attendance while addressing the needs of employees. Therefore, the designed employee data management information system has successfully achieved its objectives and provides an integrated solution to enhance the employee data management process through the utilization of website-based geolocation.

Implementasi Business Intelligence Untuk Menganalisis dan Memvisualisasikan Data Penumpang Bus Transjakarta Menggunakan Tableau Anwar Hidayat; Zuhri Halim; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.224

The existence of transportation facilities such as the Transjakarta bus will make it easier for human activities to move from one place to another. This Transjakarta bus is used as an alternative choice of means of transportation by many people in Jakarta. Because Transjakarta buses use special lanes that allow faster travel. The purpose of this study is to analyze Transjakarta passenger data by implementing a Business Intelligence system to display the number of passengers by type of bus, the number of passengers by route, the most favorite type of bus, the total number of passengers, the average passenger and the top five bus routes. The research method used is dataset processing, namely data for Transjakarta bus passengers in 2021 sourced from data.jakarta.go.id and the data is processed using Tableau tools. The results of this research report are in the form of a dashboard, such as the number of passengers as many as 120,308,547 people and the average passenger is 81,676 people. It is hoped that reports made in the form of data visualization and dashboards can be used in decision making.

PENERAPAN SISTEM INFORMASI AKADEMIK DENGAN METODE EXTREME PROGRAMMING Halim, Zuhri
Jurnal Sistem Informasi Vol 8 No 1 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v8i1.3068

Abstrak - Teknologi informasi sudah menjadi hal yang sering kita jumpai dalam kehidupan sehari-hari. Kehadiran teknologi informasi sangat membatu seseorang dalam menyebarkan dan menerima informasi. Karena perkembangannya yang begitu pesat saat ini teknologi informasi tidak hanya menjadi media untuk memperoleh informasi, tetapi dapat juga digunakan sebagai alat bantu di dunia akademis. Taman kanak-kanak Almadani adalah sebuah lembaga pendidikan yang berada di Desa Bojong Kecamatan Klapanunggal, Kota Bogor. Taman kanak-kanak ini berada bawah naungan yayasan Ihya Almadani. Yang berdiri sejak tahun 2014. TK ini terdiri dari kelompok bermain TK A dan TK B. Berdasarkan wawancara yang dilakukan oleh peneliti, pengelolaan data yang dilakukan oleh pengelola TK Almadani saat ini masih dilakukan dengan cara manual, yaitu masih dicatat dalam buku sehingga sering terjadi masalah pencatatan maupun kehilangan data karena setiap tahun data-data semakin bertambah banyak. Sulitnya melaporkan hasil belajar siswa kepada orang tua menjadi salah satu permasalahan juga karena kebanyakan orang tua dari siswa mereka sibuk untuk bekerja. Metode penelitian yang digunakan dalam perancangan sistem informasi akademik ini menggunakan Extreme Programming. Diharapkan dengan adanya sistem informasi akademik ini dapat membantu pengelola TK almadani untuk mengelola data serta melaporkan hasil belajar dan perkembangan siswa kepada orangtuanya. Kata kunci : Sistem, Laporan, TK, XP

Analisis Sentimen Opini Masyarakat Terkait Penyelenggaraan Sistem Elektronik Menggunakan Metode Logistic Regression Hanif, Isa Faqihuddin; Affandi, Irfan Ricky; Hasan, Firman Noor; Sinduningrum, Estu; Halim, Zuhri
Jurnal Linguistik Komputasional Vol 5 No 2 (2022): Vol. 5, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v5i2.103

Keamanan data menerapkan salah satu hal terpenting dalam menggunakan internet. Kebocoran data pribadi pengguna di internet dapat dimanfaatkan oleh orang yang tidak berkepentingan untuk berbagai macam tindakan kriminal. Upaya melindungi data pribadi masyarakat Indonesia, pemerintah melalui Kemkominfo membuat serta menerapkan sebuah kebijakan Penyelenggaraan Sistem Elektronik (PSE). Dalam penerapan PSE mendapatkan berbagai macam opini dari masyarakat Indonesia salah satunya yaitu pada platform twitter. Opini yang dikeluarkan oleh masyarakat ada yang bersifat negatif, netral maupun bersifat positif. Adapun tujuan penelitian ini yaitu mengetahui jumlah sentimen negatif, netral serta positif terhadap opini masyarakat terhadap PSE dimana dataset tersebut diperoleh dari platform twitter serta mengetahui nilai akurasi dari hasil uji evaluasi dari penerapan algoritma Logistic Regression. Hasil luaran dari 1073 dataset tentang opini dari masyarakat terhadap PSE didapatkan sebanyak 126 sentimen bersifat negatif, sebanyak 657 sentimen bersifat netral serta sebanyak 291 sentimen yang bersifat positif dengan nilai akurasi penerapan algoritma Logistic Regression sebesar 79.07%. Hal tersebut memperlihatkan bagaimana opini masyarakat Indonesia yaitu sebagian besar setuju terhadap diberlakukannya PSE namun masih ada beberapa masyarakat yang belum bisa menerima kebijakan tersebut.

Analisis Sentimen Opini Masyarakat Terkait Pelayanan Jasa Ekspedisi Anteraja Dengan Metode Naive Bayes Affandi, Irfan Ricky; Hasan, Firman Noor; Pratiwi, Nunik; Halim, Zuhri
Jurnal Linguistik Komputasional Vol 5 No 2 (2022): Vol. 5, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v5i2.107

Peningkatan jumlah transaksi pada berbagai platform e-commerce mempunyai implikasi terhadap peningkatan penggunaan jasa ekspedisi. Salah satu perusahaan jasa ekspedisi yang ada di Indonesia yaitu anteraja, dimana perusahaan tersebut harus bisa memiliki inovasi untuk mempunyai hubungan serta memberikan pelayanan yang terbaik bagi penggunanya. Saat ini banyak pengguna layanan anteraja mempunyai pendapat yang beragam terhadap layanan mereka pada media sosial twitter. Penelitian ini menerapkan teknik sentiment analysis untuk membantu mengevaluasi, menganalisis, menilai, serta mengetahui sikap masyarakat terhadap pelayanan Anteraja. Metode untuk mengkategorikan sentimen yang digunakan oleh peneliti yaitu menerapkan algoritma naive bayes yang mempunyai akurasi tinggi, serta prosesnya sederhana dan cepat. Peneliti juga menggunakan bantuan perangkat lunak python untuk proses pengambilan dataset pada twitter serta rapidminner studio untuk pengolahan data serta penerapan algoritma. Hasil dari proses pengolahan data yang dilakukan oleh peneliti didapatkan dari 1180 data, jumlah kategori yang paling banyak yaitu kategori sentimen positif sebesar 638 lalu kategori sentimen negatif sebesar 493 sedangkan paling sedikit yaitu kategori sentimen netral sebanyak 49. Hal ini menunjukkan dari 1180 data bahwa banyak masyarakat yang menyukai pelayanan yang diberikan oleh jasa ekspedisi Anteraja, namun tidak sedikit masyarakat yang masih kurang puas terhadap pelayan yang diberikan. Nilai akurasi penerapan algoritma naive bayes dalam penelitian ini diperoleh persentase sebesar 85.06% yang menunjukkan bahwa data tersebut dapat digunakan sebagai dasar bagi perusahaan untuk pertimbangan pengambilan keputusan.

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