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Penyuluhan Swamedikasi Obat Herbal Di Desa Kubangwungu Kecamatan Ketanggungan Kabupaten Brebes Anton Maulana Ibrahim; Dwi Yuliani
Jurnal Relawan dan Pengabdian Masyarakat REDI Vol. 2 No. 3 (2025): Februari
Publisher : Yayasan REDI Tiga Monas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69773/t2rcdd29

Perkembangan penggunaan obat dapat dampak, baik positif maupun negatif. Hasil yang berdampak positif ialah orang-orang semakin peduli dengan kesehatannya, yang terlihat dari peningkatan jumlah orang yang berkunjung ke fasilitas Kesehatan. Sedangkan dampak negatif terlihat dari peningkatan penggunaan obat dimasyarakat adalah potensi kesalahan pengobatan, penyimpanan obat dan pembuangan limbah obat yang tidak tepat. Cara pengobatan masyarakat bergeser ke obat-obatan tradisional yang terbuat dari bahan alami. Sehingga perlu adanya penambahan ilmu pengetahuan mengenai swamedikasi obat. Berdasarkan hal tersebut diatas, tim pengusul bermaksud memberikan penyuluhan swamedikasi obat herbal yang dapat dilakukan dirumah sendiri-sendiri tanpa menggunakan bahan kimia yang dapat digunakan sebagai alternatif perawatan penderita panas dan diare yang mudah, murah, dan aman. Kata kunci: Swamedikasi, obat, herbal

Identifikasi Penyakit Tanaman Bawang Merah Varietas Bima Menggunakan Metode Forward Chainning Dan Certainty Factor Anton Maulana Ibrahim; Abdul Rahman
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.825

Among the many causes of crop failure in shallots are pests and diseases, the symptoms of shallots that are attacked by pests are difficult to identify so only experts are able to correctly identify them. Shallots that are attacked by pests can actually be identified from the beginning until harvest, so that prevention and treatment can be done early on. This pest identification expert system documents expert skills into a computer. An expert system for identifying red onion diseases of the Bima Brebes variety was made using the forward chaining method based on the symptoms of the shallot plant. The certainty factor method is used to determine the level of expert confidence. System testing was carried out on 30 farmers and 5 extension workers to observe 12 samples of shallots that were attacked by pests and diseases. The system test results show that the system's accuracy level is 97%.

ANALISIS KERENTANAN APLIKASI WEB MODERN MENGGUNAKAN BLACK-BOX PENETRATION TESTING BERBASIS OWASP TOP 10:2025 Asruddin Rudi; Mirza Sutrisno; Ade Davy Wiranata; Anton Maulana Ibrahim
Infotech: Journal of Technology Information Vol 12, No 1 (2026): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v12i1.615

Web application security has become a critical concern as cyber threats evolve in sophistication and frequency. This study analyzes vulnerabilities in modern web applications using the black-box penetration testing method based on the OWASP Top 10:2025 framework within an isolated environment. The research employs VulnApp, an intentionally vulnerable web application deployed as a controlled research target, tested using three open-source DAST tools: Nmap, Nikto, and manual exploitation techniques following stages of reconnaissance, scanning, exploitation, and reporting. Results indicate 24 verified vulnerabilities distributed across 8 of 10 OWASP Top 10:2025 categories, with the combination of tools achieving a Detection Rate (DR) of 83.3%, F1-Score of 0.889, and a Risk Score Composite (RSC) of 7.39, indicating a high-risk application profile. The highest severity findings were identified in Injection (A05, CVSS 9.8), Authentication Failures (A07, CVSS 8.8), and Broken Access Control (A01, CVSS 8.1). The isolated containerized environment proved effective as a reproducible and legally compliant research laboratory.

Identifikasi Penyakit Tanaman Bawang Merah Varietas Bima Menggunakan Metode Forward Chainning Dan Certainty Factor Anton Maulana Ibrahim; Abdul Rahman
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.825

Among the many causes of crop failure in shallots are pests and diseases, the symptoms of shallots that are attacked by pests are difficult to identify so only experts are able to correctly identify them. Shallots that are attacked by pests can actually be identified from the beginning until harvest, so that prevention and treatment can be done early on. This pest identification expert system documents expert skills into a computer. An expert system for identifying red onion diseases of the Bima Brebes variety was made using the forward chaining method based on the symptoms of the shallot plant. The certainty factor method is used to determine the level of expert confidence. System testing was carried out on 30 farmers and 5 extension workers to observe 12 samples of shallots that were attacked by pests and diseases. The system test results show that the system's accuracy level is 97%.

Pemanfaatan Microsoft Office bagi Perangkat Desa dalam Membantu Pelayanan Warga Anton Maulana Ibrahim; Nabila Khumaiya
Jurnal Igakerta Vol. 1 No. 4 (2024): Jurnal Igakerta
Publisher : IGAKERTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70234/p2pk6j02

Program pengabdian masyarakat ini bertujuan untuk meningkatkan keterampilan perangkat desa dalam menggunakan Microsoft Office, terutama aplikasi Microsoft Word dan Excel, guna meningkatkan efisiensi pelayanan administrasi kepada warga. Pelatihan dilaksanakan melalui metode tatap muka yang meliputi penyampaian materi, diskusi, dan praktik langsung. Sebelum pelatihan, banyak perangkat desa menghadapi kesulitan dalam menggunakan aplikasi ini, yang menghambat proses administrasi. Setelah pelatihan, terdapat peningkatan signifikan dalam keterampilan peserta, yang terlihat dari hasil evaluasi pre-test dan post-test. Program ini juga meningkatkan kesadaran perangkat desa akan pentingnya literasi digital dalam menjalankan tugas sehari-hari. Dengan peningkatan kemampuan ini, diharapkan perangkat desa dapat memberikan pelayanan yang lebih efektif dan efisien kepada masyarakat.

Comparative Analysis of NIST SP 800-86 Framework in Handling Digital Evidence in Cloud Computing Environment Anton Maulana Ibrahim; Mirza Sutrisno; Asrudin
Journal of Nexural Intelligence Vol. 1 No. 1 (2026): Journal of Nexural Intelligence
Publisher : Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/nexural.v1.i1.260

This study analyzes the effectiveness of NIST SP 800-86 in handling digital evidence within cloud computing environments in Indonesia, employing a mixed-methods sequential explanatory approach. The research methods comprised a systematic literature review (SLR) of 120 publications, an implementation readiness survey (n = 110), in-depth interviews with 12 subject-matter experts, and a five-dimensional gap analysis. Findings indicate that NIST SP 800-86 exhibits an average coverage gap of 54.9% relative to the requirements of modern cloud forensics, with the most pronounced deficiencies in cloud-native structures (−77%), multi-tenancy (−75%), and emerging technologies (−53%). The level of cloud forensics implementation readiness in Indonesia falls within the moderate-to-low range (mean = 2.7/5), with law enforcement agencies facing the most critical obstacles owing to limited resources and an insufficient pool of certified practitioners. Multiple regression analysis (R² = 0.591) identified knowledge level, organizational support, and tools and infrastructure availability as the primary predictors of implementation readiness. Furthermore, a strong expert consensus emerged around the need for chain-of-custody standardization and a national forensic framework as prerequisite conditions for the legal admissibility of cloud-generated digital evidence. This study recommends the development of the Cloud Forensics Framework Indonesia (CFFI)—a hybrid framework integrating the procedural foundations of NIST SP 800-86, the legal provisions of ISO/IEC 27037, cloud-native technical specifications, and applicable national regulations—as the basis for policy reform and the advancement of cloud forensics practice in Indonesia

Live Network Acquisition with Pre-Serialization Hashing for Digital Evidence Integrity Mirza Sutrisno; Anton Maulana Ibrahim
Journal of Nexural Intelligence Vol. 1 No. 1 (2026): Journal of Nexural Intelligence
Publisher : Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/nexural.v1.i1.262

The integrity of digital evidence remains a fundamental requirement in network forensic investigations, particularly during the live acquisition phase where packet captures are vulnerable to anti-forensic manipulation. Conventional forensic workflows generally perform cryptographic verification after packet data has been serialized into secondary storage, creating a temporary exposure window that may allow unauthorized modification before integrity validation occurs. This study proposes a proactive forensic acquisition framework that performs cryptographic hashing directly in volatile memory prior to storage serialization. The proposed architecture utilizes Python’s io.BytesIO() mechanism to temporarily preserve packet streams in RAM and generate SHA-256 signatures before physical .pcap file creation. To evaluate the robustness of the framework, ten PCAP datasets consisting of attack and normal traffic captures were processed using an in-memory hashing pipeline. A controlled single-bit tampering simulation was subsequently applied to each serialized file to measure cryptographic sensitivity through Hamming Distance and Avalanche Effect analysis. Experimental results demonstrate that all manipulated files produced complete cryptographic divergence from their original in-memory signatures. The average Hamming Distance reached 132.2 bits with a mean avalanche probability of 0.5164, closely matching the theoretical characteristics of secure hash functions. These findings indicate that pre-serialization integrity verification significantly improves the reliability of digital evidence preservation by reducing the vulnerability window associated with conventional post-acquisition hashing mechanisms.

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