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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Societa: Jurnal Ilmu-Ilmu Agribisnis JURNAL PENDIDIKAN TAMBUSAI JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Profitabilitas J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Journal Of Human And Education (JAHE) ATTAQWA: Jurnal Pendidikan Islam dan Anak Usia Dini Journal of Accounting Information System Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Masyarakat Pariwisata: Journal of Community Services in Tourism JUMPA : Jurnal Manajemen Pendidikan IT-Edu: Jurnal Information Technology and Education Abdi Wisata: Jurnal Pengabdian Kepada Masyarakat TIME Journal Jurnal Infortech
SALMAN ALFARIZI
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Itu PERAN BIG DATA DALAM PENGAMBILAN KEPUTUSAN MANAJERIAL DI LEMBAGA PENDIDIKAN ISLAM: PENDEKATAN BERBASIS KECERDASAN BUATAN Adlani, Nazri; Hanifah, Maria; Alfarizi, Salman
Transformation of Islamic Management and Education Vol. 1 No. 1 (2024): January-June
Publisher : Sekolah Tinggi Agama Islam Al-Muntahy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65663/timejournal.v1i1.8

Abstract

The study on the adoption of Big Data and Artificial Intelligence (AI) in Islamic educational institutions offers a detailed exploration of their potential benefits and challenges. The research aims to identify obstacles faced by these institutions in adopting advanced technologies, assess their opportunities for enhancing managerial effectiveness, and evaluate their impact on educational quality and financial transparency. A qualitative-descriptive approach was employed, incorporating interviews with leaders, administrative staff, and teaching personnel from institutions with varying levels of technological integration. This method provided rich insights into the perceptions and experiences of stakeholders, capturing diverse perspectives on the implementation of Big Data and AI. The findings reveal significant advancements in decision-making processes, enabling managers to respond swiftly and effectively to emerging challenges. AI-driven personalized learning enhances student engagement and outcomes, while the integration of Big Data contributes to transparent financial management by optimizing resource allocation. However, several challenges were identified, including inadequate technological infrastructure, a lack of skilled human resources, and concerns about data privacy and security. These obstacles underscore the need for strategic investments in technology, staff training programs, and robust data security measures. The implications of this study suggest a pathway for Islamic educational institutions toward successful digital transformation. Strategic planning that aligns technology adoption with institutional goals, active stakeholder engagement, and continuous evaluation mechanisms are crucial for achieving sustainable integration. By addressing these elements, institutions can harness the potential of Big Data and AI while remaining aligned with Islamic educational values.
Analysis and Implementation of the PCQ Method in MikroTik-Based Bandwidth Management Anton; Mochamad Wahyudi; Corleon Adonay Theofilus; Hendra Supendar; Hilda Amalia; Salman Alfarizi; Lise Pujiastuti
Jurnal Infortech Vol. 8 No. 1 (2026): June 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v8i1.12752

Abstract

This study aims to implement bandwidth management using the Per Connection Queue (PCQ) method on a MikroTik router to overcome uneven bandwidth distribution. The main problem frequently encountered is the lack of optimal network traffic management, which impacts network performance and work productivity. The research method used is the Network Development Life Cycle (NDLC) with data collection techniques through observation, interviews, and literature studies. The analysis results indicate that the network does not yet have a bandwidth management system and priority allocation among departments. The proposed solution is the implementation of Simple Queue combined with the PCQ method to distribute bandwidth fairly according to the needs of each floor or department. The testing results show that the PCQ method can distribute bandwidth more systematically and stably, with achieved bandwidth values close to the predetermined targets, such as the 17th floor achieving 68.97/69.53 Mbps from a target of 70 Mbps. The study concludes that the combination of Simple Queue and PCQ on a MikroTik router is effective in creating fair, measurable, and efficient bandwidth management that supports business activities.
Pengembangan dan Deployment Sistem Pendukung Keputusan Strategi Pemasaran Program Donasi ZIS: Integrasi Algoritma K-Medoids dan Generative AI Alif Rizqi Mulyawan; Nurul Ichsan; Salman Alfarizi; Deni Gunawan; Hasan Basri
PROFITABILITAS Vol 5 No 2 (2025): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v5i2.11668

Abstract

Perkembangan teknologi digital mendorong Lembaga Amil Zakat (LAZ) untuk mengadopsi strategi pemasaran berbasis data guna meningkatkan efektivitas penghimpunan dana zakat, infak, dan sedekah (ZIS). Tantangan utama yang dihadapi LAZ adalah keterbatasan dalam memahami karakteristik dan perilaku donatur secara komprehensif, sehingga strategi pemasaran yang diterapkan belum sepenuhnya tepat sasaran. Oleh karena itu, penelitian ini bertujuan untuk merancang, mengembangkan, dan mengimplementasikan Sistem Pendukung Keputusan (Decision Support System / DSS) yang inovatif dalam mendukung modernisasi strategi pemasaran pada LAZ. Penelitian ini didasarkan pada temuan empiris sebelumnya yang menunjukkan bahwa algoritma K-Medoids memiliki ketahanan yang lebih baik terhadap keberadaan outlier dibandingkan metode klasterisasi lainnya, sehingga efektif digunakan dalam segmentasi donatur berdasarkan pola dan perilaku transaksi. Metode penelitian yang digunakan meliputi analisis kebutuhan sistem, perancangan arsitektur, pengembangan aplikasi, serta tahap implementasi dan pengujian sistem. Sistem yang dikembangkan, yaitu ZIS-Smart-DSS, dibangun menggunakan arsitektur berbasis web dengan framework Python Flask sebagai pengelola backend, basis data relasional untuk pengelolaan data transaksional donatur, serta integrasi Application Programming Interface (API) dengan Large Language Models (LLM) untuk mengotomatisasi pembuatan konten pemasaran yang adaptif dan personal. Hasil segmentasi donatur yang dihasilkan oleh algoritma K-Medoids dimanfaatkan sebagai dasar dalam memberikan rekomendasi strategi pemasaran yang lebih tepat sasaran. Hasil penelitian menunjukkan bahwa ZIS-Smart-DSS mampu mengintegrasikan proses analisis data, pengambilan keputusan, dan eksekusi strategi pemasaran secara efektif. Sistem ini memberikan dukungan signifikan bagi pengelola LAZ dalam memahami karakteristik donatur serta meningkatkan relevansi dan efektivitas komunikasi pemasaran berbasis kecerdasan buatan.
Co-Authors - UBSI, Hasan Basri Abdi Virgiansyah, Ferdinand Abdul Hafidz Bin Zaid Abdul Haris Abdullah, Tohir Aditya Prapanca Adlani, Nazri Alawi, Muhammad Sadni Alif Rizqi Mulyawan Anggraini Puspita Sari Ansshori, Hamdan Fauzan Anton Arrafi, Bintang Ayuliyanti, Maria Corleon Adonay Theofilus Dedeh Dedeh, Dedeh Deni Gunawan Dian Ardiansyah Dinia, Nazia Dwiza Riana DyarBirru, Rifky Izazi Eka Fitriani Fajar Akbar Gunawan, Deni Habiba, Izmi Handika, Wawan Hanifah, Maria Hasan Basri Hasan Basri Hasan Basri, Hasan Basri Hilda Amalia Jaudat Iqbal Harris Jauhari, M. Irfan Lise Pujiastuti Mareanus Lase Martenia, Rina Maulana, Alamsyah Mochamad Wahyudi Mulyawan, Alif Rizqi Nur Faizah Nursaida, Hariza Alvi Nurul Ichsan Nurul Ichsan Pratama, Moch Nasikh Andhyka Puri Pratami Ardina Ningrum Ramadhani Gilang Saputra Rina Martenia Riska Aryanti Riza Ashari Royanow, Achlan Fahlevi Saiful Fahmi, Saiful Saprudin Sasongko, Yogi Banar Shinta Siti Sundari Sukamto, Ika Sumiyarsi Syamsuddin Arif Titik Misriati Tobroni Tobroni Umi Isnatin Wibowo, Hendri Setyo Wiguna, Aldi Windu Gata Yanti, Rini Agustin Eka Yulianto, Hendra Dwi Yusuf Sumaryana