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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Action Research Literate (ARL) ARMADA : Jurnal Penelitian Multidisiplin Journal of Artificial Intelligence and Technology Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) HAMKA INSIGHT
Anhari, Tirta
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Monitoring dan Pencegahan Serangan Judi Online (Slot Gacor) pada Website Alim, Endi Sjaiful; Nuroji, Nuroji; Rizkiawan, M. Asep; Anhari, Tirta; Sobari, Bahar
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 1 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i1.25267

Abstract

A website is a complex tool for presenting information. The security of a website is very important to support the reputation of the website. The rise of online gambling has now penetrated the website, the most dangerous is when the website has been infiltrated with an online gambling page. The purpose of the research is to prevent and monitor the website against online gambling hacker attacks. This research uses a descriptive method approach, namely by monitoring and observing the website, we try to provide an in-depth explanation of monitoring and preventing online gambling attacks (Slot Gacor) by utilizing Cloudflare services. Cloudflare is implemented as a security system on the website. In this research, the website that became a case study was the bpti.uhamka.ac.id website with the research location in the UHAMKA data center room. Data collection techniques and data analysis are carried out by direct observation through the cloudflare website. The data analyzed in the form of graphs and money url paths have been blocked. Research results Within 8 days there were 126 url paths that could be blocked by cloudflare and all of them contained online gambling with most of them being gacor slots. Cloudflare has successfully blocked hackers by filtering path URLs from the originating website.
Application of Business Intelligence Using Tableau in Visualizing New Student data Rizkiawan, M. Asep; Anhari, Tirta; Alim, Endy Sjaiful
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.477

Abstract

Business Intelligence (BI) has become part of an institution's strategy in formulating, deciding and implementing policies. Of course this is because Business Intelligence (BI) makes it easier to analyze existing data, including in universities such as UHAMKA. This research aims to apply Business Intelligence (BI) using Tableau in visualizing new student data of Universitas Muhammadiyah Prof. Dr. Hamka (UHAMKA) in 2023. This research methodology includes several main stages, data collection from UHAMKA's academic information system, data preparation through cleaning and transformation, using Tableau to create interactive visualizations, and analysis of visualization results. The results show that the use of Tableau is able to produce informative and easy-to-understand visualizations, which help in identifying study program preferences, enrollment trends, and demographic profiles of new students. The distribution of new students shows that the S1 Psychology, S1 PGSD, and S1 Management study programs are the top choices, while the D3 Accounting study program has a very low number of applicants. This research concludes that the implementation of BI using Tableau provides significant benefits in the management and analysis of academic data, supports better decision-making, and improves operational efficiency and effectiveness at UHAMKA.
Business Intelligence Visualisasi Data Penerimaan Mahasiswa Baru Menggunakan Tableau di Universitas ABC Anhari, Tirta; Alim, Endy Sjaiful; Rizkiawan, M. Asep; Hasan, Firman Noor; Aulia, Muhammad Fathan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 6, No 1 (2025): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v6i1.570

Abstract

This study aims to analyze the application of Business Intelligence (BI) using Tableau in the new student admission process at ABC University. Tableau is used to visualize admission data for the period 2021 to 2023, including the number of applicants, geographic distribution, and course preferences. The research methodology involves data collection, cleaning, and integration which is then visualized in an interactive dashboard. The results showed a decrease in the number of applicants during the study period, with the lowest applicants in 2024. Geographic distribution analysis shows that DKI Jakarta and West Java provinces still dominate, indicating the need for expansion in conducting promotions and also data-based marketing strategies. In addition, the shift in the interest of applicants from Communication Science study programs to Pharmacist and Management Professions is an important finding, indicating a changing trend in prospective students' preferences for the fields of Communication Science and Business. This study concludes that the implementation of BI using Tableau provides significant benefits in improving the efficiency of decision-making, expanding the range of admissions, and strengthening the competitiveness of ABC University amid changing educational trends. The findings contribute to the literature related to BI implementation in the education sector and recommend further development to optimize university management in the future
Evaluasi Proses Bisnis Layanan Mahasiswa Baru Di Perguruan Tinggi Menggunakan Capability Maturity Model Integration Anhari, Tirta; Gaol , Ford Lumban; Matsuo , Takuro; Rizkiawan , M. Asep
Action Research Literate Vol. 8 No. 9 (2024): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v8i9.532

Abstract

Proses bisnis merupakan hal penting yang dapat menentukan kesuksesan dan keselarasan dari tujuan suatu perusahaan atau organisasi. Penelitian ini bertujuan untuk mengetahui seberapa matang proses bisnis layanan mahasiswa baru di Universitas XYZ, yang mencakup semua langkah dari pendaftaran hingga orientasi mahasiswa baru. Proses bisnis di ukur tingkat kematangannya menggunakan capability maturity model integration (CMMI). Tingkat kematangan CMMI terdiri dari Initial, managed, defined, quantitatively managed, dan optimizing. Data dikumpulkan melalui kuesioner yang di isi oleh 16 informan yang terlibat pada layanan mahasiswa baru. Setelah itu, Dilakukan analisis data untuk menemukan kekuatan dan kelemahan dalam proses bisnis saat ini. Menurut hasil penelitian, proses bisnis layanan mahasiswa baru di Universitas XYZ berada pada tingkat maturitas pada level 4 “quantitatively managed” dengan skor 5,34. Dalam makalah ini juga peneliti memberikan saran untuk melakukan perbaikan yang berkelanjutan agar dapat meningkatkan maturitas ke-yang lebih tinggi pada Universitas XYZ dan tentunya dapat meningkatkan layanan dan kepuasan mahasiswa baru melalui penelitian ini
DEVELOPMENT OF RESPONSIVE AND INTERACTIVE MOBILE-BASED REALISTIC MATHEMATICS LEARNING APPLICATION WITH EXTREME PROGRAMMING SYSTEM METHOD Prananda, Dimas Adi; Imanda, Rahmi; Anhari, Tirta; Sulaeman, Mia Kamayani; Rizkiawan, M. Asep
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5939

Abstract

This research has the main objective of producing a product of mathematics learning application design that supports the mathematics learning process to be more qualified. The application developed can help teachers to map the competencies and learning achievements of each student. In supporting the development of this application also combines realistic mathematics and quizzes that are designed to be interactive and responsive. In directing this research, the object-oriented extreme programming system development method was developed through the stages of planning, design, coding and testing. With this application, teachers are greatly helped in organizing students in a more qualified and interactive learning process. Based on the results of testing that has been done in the classroom, the response of teachers and students with this application gets a very positive response
Klasifikasi Serangan Web Berdasarkan Log Web Application Firewall (WAF) Menggunakan Support Vector Machine (SVM) Nuroji Nuroji; Tirta Anhari
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 2 (2026): Volume 4 Number 2 June 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i2.262

Abstract

Pertumbuhan aplikasi web yang semakin pesat turut meningkatkan risiko ancaman keamanan siber terhadap layanan berbasis internet. Berbagai jenis serangan seperti SQL Injection (SQLi) dan Cross-Site Scripting (XSS) masih menjadi ancaman utama yang dapat mengganggu keamanan maupun ketersediaan sistem web. Penelitian ini bertujuan menerapkan pendekatan machine learning untuk melakukan klasifikasi serangan web menggunakan data log dari Web Application Firewall (WAF) berbasis ModSecurity. Data penelitian diperoleh dari audit log ModSecurity dalam format JSON yang berisi aktivitas request dan response pada web server. Tahapan penelitian meliputi pengumpulan data, preprocessing, ekstraksi fitur, labeling, feature engineering menggunakan TF-IDF, pembagian dataset dengan train-test split, pemodelan menggunakan algoritma Support Vector Machine (SVM), serta evaluasi performa model menggunakan confusion matrix, accuracy, precision, recall, dan F1-score. Dataset yang digunakan terdiri atas 3467 data traffic web dengan kategori SQL Injection, XSS, dan Normal. Berdasarkan hasil pengujian, model SVM mampu menghasilkan tingkat akurasi sebesar 94,52% dalam proses klasifikasi traffic web. Model menunjukkan performa sangat baik pada pendeteksian serangan SQL Injection dengan recall sebesar 1,00 dan nilai F1-score sebesar 0,97. Akan tetapi, performa pada kategori Normal masih relatif rendah karena distribusi data yang tidak seimbang. Hasil penelitian menunjukkan bahwa analisis log ModSecurity yang dipadukan dengan machine learning dapat dimanfaatkan sebagai pendekatan alternatif untuk mendukung deteksi serangan web secara otomatis.
Enhancing digital transformation capacity of educators to optimize school governance Tirta Anhari; Ahmad Said
HAMKA INSIGHT Vol. 6 No. 1 (2026)
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/hamka.v6i1.198

Abstract

Purpose: This study evaluates the effectiveness of implementing an information technology paradigm at SMK Muhammadiyah Al Kautsar Jakarta to resolve critical operational bottlenecks. Specifically, it addresses systemic infrastructure inequality, low digital literacy among educators, organizational resistance, and weak digital service governance that hinder academic management. Method: Adopting a qualitative case study design, data were collected from key school stakeholders through in-depth interviews, direct operational observations, and document analysis of curriculum and digital policy records. The gathered empirical data were analyzed using an interactive model comprising data reduction, data presentation, and conclusion drawing. Findings: Targeted training significantly enhanced stakeholders' comprehension, shifting their perception of technology from a costly administrative burden to a core strategic asset. By holistically addressing sociological and governance root causes alongside technical skills, the intervention strengthened data security awareness, educational service quality, and data-driven decision-making. However, achieving complete organizational transformation requires long-term funding and continuous monitoring. Practical implications: Provides vocational education practitioners and administrators with actionable strategies to integrate technical upskilling with adaptive governance frameworks, thereby optimizing operational efficiency. Originality/value: Offers a novel comprehensive framework that integrates sociological and governance dimensions to overcome technology adoption barriers in Indonesian vocational high schools.
Pengembangan Framework Business Intelligence Berbasis Open Source di Institusi Pendidikan Tinggi Tirta Anhari; Nuroji Nuroji; Dwi Febriyadi
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 3 (2026): Volume 4 Number 3 September 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i3.277

Abstract

Pengembangan solusi Business Intelligence (BI) berbasis open source semakin relevan untuk institusi akademik di Indonesia guna mengatasi masalah tingginya biaya BI komersial dan sulitnya mengintegrasikan sistem informasi lama (legacy systems). Makalah ini bertujuan merancang dan mengimplementasikan framework BI open source yang disesuaikan dengan arsitektur data perguruan tinggi. Penelitian ini menggunakan pendekatan deskriptif kualitatif melalui tahapan studi literatur, analisis kebutuhan pengguna (melibatkan 15 responden pemangku kepentingan), desain arsitektur integrasi, serta evaluasi implementasi. Hasil penerapan menunjukkan bahwa framework yang diusulkan—menggunakan PostgreSQL, Talend, dan Metabase/Apache Superset yang terintegrasi Single Sign-On (SSO)—berhasil memangkas waktu penyusunan laporan operasional hingga 70% dan meningkatkan aksesibilitas data. Temuan utama menegaskan bahwa keberhasilan adopsi BI open source tidak hanya dipengaruhi oleh integrasi teknologi, tetapi sangat bergantung pada manajemen perubahan dan literasi data pengguna. Studi ini berkontribusi memberikan model arsitektur tata kelola data yang aman, hemat biaya, dan siap direplikasi oleh sektor pendidikan tinggi.
Rancang Bangun Aplikasi E-Commerce Berbasis Web dengan React JS pada Toko Albani Muslim Wear Nazhmi Hakimah; Tirta Anhari
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 8 (2026): ARMADA : Jurnal Penelitian Multidisplin, Agustus 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i8.3314

Abstract

Perkembangan Teknologi digital mendorong perilaku konsumen menuju transaksi berbasis online, namun toko Albani Muslim Wear mengelola usahanya secara konvensional, termasuk pencatatan stok barang secara manual dan pemasaran yang terbatas melalui Facebook dan Whatsapp. Kondisi ini menyebabkan pengelolaan data kurang efektif dan berpotensi menimbulkan kesalahan pelayanan. Penelitian ini bertujuan untuk merancang dan membangun sistem e-commerce berbasis websitebagi toko Albani Muslim Wear guna meningkatkan efisiensi pengelolaan data produk dan memperluas jangkauan pemasaran. Metode pengembangan yang akan digunakan adalah Agile dengan pendekatan iteratif, menggunakan teknologi MERN Stack (MongoDB, Exspress JS, React JS, dan Node JS). hasil penelitian berupa sebuah platform e-commerce yang memungkinkan pengelolaan stok barang secara digital, transaksi online yang lebih mudah, serta pemasaran produk yang lebih luas. Sistem ini diharapkan dapat mengubah proses bisnis toko Albani Muslim Wear daei cara konvensional menjadi lebih modern, efisien dan kompetitif di era digital.
Co-Authors Ahmad Said Alim, Endi Sjaiful Alim, Endy Sjaiful Aulia, Muhammad Fathan Dwi Febriyadi Firman Noor Hasan Gaol , Ford Lumban Kamayani, Mia M. Asep Rizkiawan Matsuo , Takuro Nazhmi Hakimah Nuroji Nuroji Prananda, Dimas Adi Rahmi Imanda Sobari, Bahar