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All Journal Jurnal Pseudocode Voice Of Informatics Jurnal Teknologi Sistem Informasi dan Aplikasi Antivirus : Jurnal Ilmiah Teknik Informatika Journal of Intelligent Decision Support System (IDSS) Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) Jurnal Mandiri IT Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Indonesian Community Journal Jurnal Dinamika Informatika (JDI) Jurnal Sains Student Research Abdi Reksa Jurnal TNI Angkatan Udara
Lediwara, Nadiza
Universitas Pertahanan Republik Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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The development of a data lakehouse system for the integration and management of cyber threat intelligence data in XYZ unit Chan, Ricky; Dhaifullah, Rendi Hanif; Saragih, Hondor; Lediwara, Nadiza; Adha, Rochedi Idul
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 1 (2025): March: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i1.293

Abstract

Cybersecurity systems are evolving to deal with increasingly complex digital threats. One of the main challenges in this field is integrating and managing Cyber Threat Intelligence (CTI) efficiently. This research aims to design and implement Data Lakehouse as a solution to manage CTI data in XYZ Unit. The system was built using Apache Spark, MinIO, Dremio, Nessie, and Apache Iceberg with a containerization approach using Docker to ensure flexibility and ease of implementation. The implementation results show that the system successfully integrates various CTI data sources and improves efficiency in data storage, processing, and analysis. MinIO is used as the primary storage, Apache Spark processes data at scale, Dremio enables real-time data analysis, and Nessie manages data version control to maintain its integrity. Blackbox testing proves that the system can work optimally, with results showing improved data integration and efficiency in managing cyber threat information. Thus, the developed Data Lakehouse can be an effective solution in supporting threat detection and strategic decision-making in XYZ Unit.
Sosialisasi Two Factor Authentication dan Aplikasinya pada Era Keamanan Digital di SMA Negeri 63 Jakarta Lediwara, Nadiza; Bimorogo, Sembada Denrineksa; Heikmakhtiar, Aulia Khamas; Bhiftime, E.I.; Phatoni, Khaerul Imam; Husni, Nashiratul; Febriantama, Rizal Gian
I-Com: Indonesian Community Journal Vol 5 No 2 (2025): I-Com: Indonesian Community Journal (Juni 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i2.7614

Abstract

Kemajuan teknologi digital membawa kemudahan dalam kehidupan sehari-hari, namun juga menghadirkan tantangan dalam perlindungan data pribadi. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman siswa/i SMA Negeri 63 Jakarta mengenai risiko keamanan digital dan pentingnya Two Factor Authentication (2FA). Metode yang digunakan meliputi ceramah dan demonstrasi dalam mengaktifkan 2FA pada platform digital seperti email, media sosial, dan aplikasi keuangan yang diikuti 33 peserta pada tanggal 22 Mei 2024. Hasil kegiatan menunjukkan peningkatan kesadaran dan kemauan peserta dalam menerapkan 2FA. Kegiatan ini turut mendorong terbentuknya budaya literasi digital yang aman dan bertanggung jawab.
Penerapan Artificial Intelligence Guna Mendukung Pembelajaran Mahasiswa Lediwara, Nadiza; Bimorogo, Sembada Denrineksa; Heikmakhtiar, Aulia Khamas; Alghiffari, Ahmad Abizar; Zarfinal, Andila; Dhaifullah, Rendi Hanif
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.979

Abstract

This community service aims to provide participants about implementation of artificial intelligence to support student activity. Through this activity, participants can gain more knowledge beside academic activity. This community service includes providing material through lectures followed by question and answer activities. The results of community service show that participants (39 people) have high enthusiasm in listening to the presentation. The result of this community service is that participants can gain more knowledge about the implementation of artificial intelligence to support student activity.ABSTRAKKegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pemahaman kepada partisipan mengenai penerapan kecerdasan buatan guna mendukung pembelajaran mahasiswa. Melalui kegiatan ini, partisipan dapat memperoleh pengetahuan lebih disamping pengetahuan yang didapat pada lingkungan perkuliahan. Program pengabdian kepada masyarakat ini meliputi pemberian materi melalui ceramah dilanjutkan dengan kegiatan tanya-jawab. Hasil pengabdian kepada masyarakat menunjukkan para partisipan yang berjumlah 39 orang memiliki antusiasme yang tinggi dalam mendengarkan paparan. Hasil dari pengabdian kepada masyarakat ini adalah peserta dapat memperoleh pengetahuan lebih mengenai penerapan kecerdasan buatan guna mendukung pembelajaran mahasiswa. 
Edukasi Bahaya Judi Online di Madrasah Aliyah Al-Kautsar Lediwara, Nadiza; Alghiffari, Ahmad Abizar; Aulia, Regifia Ningrum Nur; Dhaifullah, Rendi Hanif; Bimorogo, Sembada Denrineksa; Heikmakhtiar, Aulia Khamas; H., Nick Holson Mangiring Silalahi
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.7793

Abstract

Kegiatan pengabdian kepada masyarakat yang telah dilaksanakan dalam bentuk edukasi mengenai bahaya judi online ditujukan kepada siswa/i di Madrasah Aliyah Yayasan Al Kautsar yang dihadiri sebanyak 47 orang. Maraknya akses terhadap judi online di kalangan remaja menimbulkan berbagai dampak negatif, baik dari sisi psikologis, sosial, maupun akademik. Tujuan dari kegiatan ini adalah untuk meningkatkan kesadaran remaja akan risiko dan konsekuensi dalam aktivitas perjudian digital. Metode pelaksanaan dilakukan melalui penyampaian materi edukatif, diskusi interaktif, serta refleksi bersama yang mendorong peserta untuk mengidentifikasi dampak nyata dari judi online. Hasil dari kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap bahaya judi online serta tumbuhnya kesadaran untuk menjauhi aktivitas tersebut. Kegiatan ini juga memberikan ruang bagi peserta untuk mengeksplorasi alternatif aktivitas yang lebih positif dan produktif. Edukasi semacam ini terbukti efektif sebagai langkah preventif dalam menekan potensi kecanduan judi online di kalangan remaja.
Comparison Naïve Bayes and SVM to Classify Drought-Infected Rice Plants Based on Morphological Characteristics in Supporting National Food Security Damaris Easter Nugrahita Christi; Angelia Melisa Hutapea; Fulkan Kafilah Al Husein; Nadiza Lediwara; Sembada Denrineksa Bimorogo
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.6557

Abstract

Data mining is part of the Knowledge Discovery in Database (KDD) process. The use of data mining serves to classify, predict, and extract other useful information from large data sets. This study aims to classify rice plants under treatment (drought stress and control) using data mining, focusing on the analysis of the variables of Leaf Area (LA), Root Length (RL), and Shoot Length (SL). Each classification algorithm has different characteristics, resulting in varied performance results. After testing both classification algorithms, the accuracy results were 71.70% for Naïve Bayes and 73.85% for SVM. This shows that the SVM algorithm performs better than Naïve Bayes algorithms to determine best treatment of rice to support national food security further. Furthermore, It also can be concluded that using a machine learning approach can solve problems in the classification of rice plants affected by drought threats is fairly effective with the maximum score obtained is only 73.85%.
Co-Authors Abigail Tifani Manullang Adha, Rochedi Idul Alfian Habib Ahmed Alghiffari, Ahmad Abizar Allodya Nadra Xaviera Almas Shafwan Alya Hijrianisa Amadea Kenyoning Hapsari Ananda Yessica Margaretha Hutagalung Angelia Melisa Hutapea Army Kanaya Audrey Nur Aisyah Aulia Khamas Heikmakhtiar Aulia Khamas Heikmakhtiar Aulia, Regifia Ningrum Nur Bhiftime, E.I. Bimorogo, Sembada Denrineksa Chan, Ricky Damaris Easter Nugrahita Christi Denrineksa Bimorogo, Sembada Dhaifullah, Rendi Hanif Eva Savitri Febriantama, Rizal Gian Fhatur Robby Tanzil Herris Findi Zhafirah Fira Putri Wulandari Fulkan Kafilah Al Husein funny farady Coastera Gamelia Putri Anneta H., Nick Holson Mangiring Silalahi Heikmakhtiar, Aulia Khamas Hondor Saragih Husni, Nashiratul Jaya Gainal, Ido Julia Purnama Sari Julia Purnama Sari Khamas Heikmakhtiar, Aulia Khazali Fahmi Mochammad Yusa Mochammad Yusa Mufti Labib Ahmada Muhammad Rivaldi Muhmmad Alvito Faros Naylil Karomah, Sufi Phatoni, Khaerul Imam Ricky Chan Rivaldi, Muhammad Rizki Yulian Agusti Rohman Ali Hanan I Sadewa, Rio Bintang Sadiyana Yaqutna Naqiya Salman Alfarisi Sembada Denrineksa Bimorogo Shella Athaya Miwazuki Suhar totok Tazky Khumaira Tsany Tiara Damayati Vonna Lestari Dian Subianty Yosi Herianti Zarfinal, Andila Zefanya Seto Gandhara Zerusealtin David Naibaho