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All Journal JAMAIKA: Jurnal Abdi Masyarakat Jikom: Jurnal Informatika dan Komputer OKTAL : Jurnal Ilmu Komputer dan Sains Global Science: Journal of Information Technology and Computer Science Cyber Security and Network Management
Firman Pratama
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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IMPLEMENTASI MOODLE V.3.9 DAN ZOOM SEBAGAI PLATFORM PEMBELAJARAN DARING SEKOLAH TINGGI ILMU MANAJEMEN SAINT MARY Firman Pratama; Andin Eka Safitri; Devi Damayanti; Savitri Savitri; Nurhasanah Nurhasanah
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 2, No 2 (2021): JUNI
Publisher : Universitas Pamulang

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  Firman Pratama1, Andin Eka Safitri2, Devi Damayanti3, Savitri4, Nurhasanah51,2,3,4,5Universitas Pamulang, Program Studi Teknik Informatika*E-mail: dosen02407@unpam.ac.id ABSTRAKPada akhir 2019 dunia dikejutkan oleh penemuan virus baru yaitu CORONAVIRUS DISEASE (COVID-19) yang berhasil ditemukan kasusnya pertama kali di Wuhan, ibu kota Provinsi Hubei, Tiongkok. Kasus infeksi virus COVID-19 di Indonesia Berdasarkan pengumuman resmi Presiden Indonesia tanggal 2 Maret 2020 terjadi pada akhir Februari 2020 sehingga pada Tanggal 13 Maret 2020 Presiden Republik Indonesia Joko Widodo menerbitkan surat KEPPRES Nomor 7 Tahun 2020 tentang Gugus Tugas Percepatan Penanganan Corona Virus Disease 2019 (COVID-19) untuk membentuk komite khusus Penanganan COVID-19 yang terdiri dari Kementerian atau Lembaga (K/L). KEPPRES tersebut berisi pembatasan seluruh kegiatan usaha. Akibat pembatasan tersebut seluruh kegiatan belajar mengajar mulai dari jenjang pendidikan dasar s.d. pendidikan tinggi harus diselengarakan secara daring sehingga seluruh penyelenggara pendidikan harus merubah teknis penyelenggaran pendidikan sesuai dengan aturan pemerintah.  Untuk itu Sekolah Tinggi Ilmu Manajemen Saint Mary berkomitmen untuk mendukung pemerintah untuk melaksanakan kegiatan belajar mengajar secara daring menggunakan aplikasi Moodle dan Zoom yang bekerja sama dengan tim pengabdian kepada masyarakat Universitas Pamulang untuk melakukan penerapan teknologi tersebut agar kegiatan belajar mengajar menjadi efektif dan efisien Kata kunci: Pembelajaran Daring; Moodle; Zoom   ABSTRACTAt the end of 2019 the world was shocked by the discovery of a new virus, CORONAVIRUS DISEASE (COVID-19), which was first found in Wuhan, the capital of Hubei Province, China. Cases of COVID-19 virus infection in Indonesia Based on the official announcement of the President of Indonesia on March 2, 2020, it occurred at the end of February 2020 so that on March 13 2020 the President of the Republic of Indonesia Joko Widodo issued a letter of KEPPRES Number 7 of 2020 concerning the Task Force for the Acceleration of Handling of Corona Virus Disease 2019 (COVID-19) to form a special committee for Handling COVID-19 consisting of Ministries or Institutions (K / L). The KEPPRES contains restrictions on all business activities. As a result of these restrictions all teaching and learning activities ranging from basic education to elementary education levels. Higher education must be held online so that all education providers must change the technical delivery of education in accordance with government regulations. For this reason, the Saint Mary College of Management is committed to supporting the government to carry out teaching and learning activities online using the Moodle and Zoom applications in collaboration with the Pamulang University community service team to implement these technologies so that teaching and learning activities become effective and efficient. Keywords: Online Learning; Moodle; Zoom 
PELATIHAN MS. OFFICE PADA KADER POSYANDU MAWAR DESA SAWANGAN BARU Devi Damayanti; Savitri Savitri; Andin Eka Safitri; Firman Pratama; Nurhasanah Nurhasanah
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 2, No 2 (2021): JUNI
Publisher : Universitas Pamulang

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Abstract

Posyandu merupakan salah satu bentuk Upaya Kesehatan Berbasis Masyarakat (UKBM) yang melibatkan berbagai pihak, baik dari unsur masyarakat sendiri maupun lintas sektor. Unsur masyarakat yang berperan penting dalam berjalannya Posyandu adalah Kader. Kader posyandu sangat berperan penting dalam pelaksanaan kegiatan posyandu. Tugas kader diantaranya melakukan pendaftaran, pencatatan, penimbangan, penyuluhan, dan membahas hasil kegiatan posyandu. Seperti pada Posyandu Mawar, salah satu posyandu yang berada di Kelurahan Sawangan Baru Kecamatan Sawangan Kota Depok ini  sudah berdiri dari tahun 1983, beralamat di Jalan Pemuda RT.01 RW.06 Kelurahan Sawangan Baru Kecamatan Sawangan Kota Depok Provinsi Jawa Barat. Walaupun posyandu ini sudah mempunyai bangunan sendiri dengan segala fasilitas yang ada tetapi seluruh administrasi masih dilakukan secara manual, mulai dari surat menyurat, data-data penimbangan, sampai dengan data register semua masih dicatat secara manual yang tersimpan dalam satu buku besar. Hal inilah yang membuat para kader bekerja lebih ekstra dan memakan banyak waktu. Dari sinilah kami tim pengabdi mencoba memberikan solusi untuk para kader sehingga dapat meminimalkan tugasnya di posyandu. Solusi yang kami berikan berupa sosialisasi dan pelatihan penggunaan aplikasi Microsoft Office khususnya Microsoft Excel yang bertujuan untuk membantu para kader dalam mengolah segala data administrasi yang ada di posyandu yang saat ini masih tercatat secara manual menjadi go digital.
Risk Aware Cybersecurity Governance Model with Real Time Threat Intelligence Integration and Predictive Anomaly Detection for Enterprise Network Infrastructures Firman Pratama; Fandan Dwi Nugroho Wicaksono
Cyber Security and Network Management Vol. 1 No. 1 (2026): February: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i1.10

Abstract

The increasing sophistication of cyber threats has rendered traditional cybersecurity models insufficient in safeguarding enterprise networks. This study introduces a risk aware cybersecurity governance model that integrates real time threat intelligence with predictive anomaly detection to proactively mitigate potential threats. By leveraging advanced machine learning and AI techniques, the model enhances the ability to identify and address cyber threats before they can escalate into significant incidents. The model’s ability to predict anomalies, analyze real time threat intelligence feeds, and provide early warnings allows for faster response times and reduced risk exposure compared to traditional reactive models. Through simulations and real-world use cases, the proposed model demonstrated a 30% reduction in response time and a 25% decrease in overall risk exposure, showing its potential to improve security decision-making and resilience in dynamic threat environments. Unlike traditional models that rely on static rules and periodic policies, the proposed model uses predictive analytics to stay ahead of evolving threats, ensuring continuous monitoring and rapid adaptation. This proactive approach enhances organizational resilience, particularly in handling sophisticated cyber threats such as ransomware, malware, and phishing attacks. Despite its effectiveness, challenges such as data overload, scalability, and the need for interpretability in AI models remain. Future research will focus on refining predictive models, improving scalability for larger networks, and enhancing the explainability of machine learning models to foster greater trust in automated cybersecurity systems. This study contributes to the ongoing evolution of cybersecurity governance by demonstrating the value of integrating predictive and real time monitoring technologies for enhanced threat detection and mitigation.
Analisis dan Perancangan Sistem Pendukung Keputusan Pemilihan Vendor Properti Event dengan Model Bobot Adaptif Berbasis Hybrid SWARA - MOORA pada PT Tri Reka Dinamis Salsi Kirana Laura Ibra; Firman Pratama
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 07 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The selection of event property vendors at PT Tri Reka Dinamis faces challenges in achieving objective and consistent decision-making due to multiple evaluation criteria such as quality, cost, timeliness, and service. This study aims to design and develop a web-based decision support system using an adaptive weighting model based on the hybrid SWARA–MOORA method. The system is developed using the Waterfall model, which includes stages of analysis, design, implementation, testing, and maintenance. SWARA is used to determine the adaptive weight of each criterion, while MOORA is applied to rank and select the optimal vendor. The expected result is a functional web-based prototype capable of generating accurate, transparent, and data-driven recommendations to enhance the efficiency and fairness of vendor selection decisions.
Implementasi Metode Smart Dalam Sistem Pendukung Keputusan Untuk Pemilihan Produk Sunscreen Berdasarkan Tipe Kulit Devinta Amalia; Firman Pratama
Jurnal Informatika dan Komputer Vol 16 No 1 (2026): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v16i1.372

Abstract

High exposure to ultraviolet radiation in Indonesia increases the risk of skin problems, making the use of sunscreen tailored to skin types essential. Manual selection is often subjective and does not adequately consider relevant criteria. This study develops a web-based decision support system for sunscreen selection at Havya Medika Clinic using the SMART (Simple Multi Attribute Rating Technique) method to rank 50 product alternatives based on five criteria: SPF, texture, type, size, and price, with SPF assigned the highest weight. Skin type data were obtained through interviews with a dermatology expert, while product data were collected from the technical specifications of various brands. The results show that Facetology Triple Care Sunscreen Tinted SPF 50 PA++++ ranks highest for normal skin (88.33), SCORA Bright Me Up Sunscreen SPF 40 PA++++ for dry skin (85.00), and Labore Acne & Oil Correct Physical Sunscreen for sensitive skin (85.42). User Acceptance Testing (UAT) involving 15 respondents yielded a score of 526 out of 600 (average of 4.38), with a feasibility rate of 87.67%, indicating that the system is highly feasible. The system effectively provides objective and measurable recommendations based on users’ skin types.
Toward Explainable AI for Cybersecurity: A NIST-Based Knowledge Graph for Transparent Semantic Reasoning Firman Pratama; Irlon Dahil; Marion Erwin Dien; Dewantoro Lase
Global Science: Journal of Information Technology and Computer Science Vol. 2 No. 1 (2026): March: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v2i1.186

Abstract

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.
Co-Authors Devi Damayanti Devinta Amalia Dewantoro Lase Fandan Dwi Nugroho Wicaksono Irlon Dahil Marion Erwin Dien Nasution, Ali Napiah Safitri, Andin Eka Salsi Kirana Laura Ibra Savitri