Claim Missing Document
Check
Articles

Implementasi Firewall Untuk Keamanan Dan Pencegahan Serangan Siber Di SMAI Kepanjen Kabupaten Malang Yuri Ariyanto; Yan Watequlis Syaifudin; Budi Harijanto; Chandrasena Setiadi; M Hasyim Ratsanjani; Hendra Pradibta; Ali Ridho Muladawila; Didik Sunariyanto
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 2 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i2.7637

Abstract

The implementation of a firewall-based network security system has become increasingly important in maintaining data integrity and availability within educational institutions. The Community Service Program (PPM) conducted by Politeknik Negeri Malang aims to enhance the network security infrastructure at SMA Islam Kepanjen, Malang Regency, through the implementation of Wazuh as a cybersecurity solution. This approach includes the installation and configuration of network infrastructure, security audits, and training for IT staff on independent firewall management. The implementation methodology involves site surveys, network topology design, hardware and software installation, system testing, and technical mentoring. The outcomes achieved include increased awareness of cybersecurity issues and improved capacity of partner personnel in managing the network infrastructure. With the implementation of Wazuh, it is expected that SMA Islam Kepanjen will be able to proactively address cyber threats and serve as a model for information technology implementation in other schools across Malang Regency.
An Implementation of Early Warning System for Air Condition Using IoT and Instant Messaging Alfiandi Aulia Rahmadani; Budhy Setiawan; Yan Watequlis Syaifudin; Nobuo Funabiki; Indrazno Siradjuddin; Triana Fatmawati
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.61

Abstract

Air pollution poses a significant threat to human health and environmental sustainability, exacerbated by anthropogenic activities such as industrial emissions, vehicle exhaust, and fossil fuel combustion. Major pollutants include carbon monoxide (CO), nitrogen dioxide (NO2), hydrocarbons (HC), sulfur dioxide (SO2), ozone (O3), particulate matter (PM2.5), particulate matter (PM10), and etc. In this study, an Early Warning System (EWS) was developed integrating sensors, microcontroller, IEEE 802.11 network, web interface monitoring, and Instant Messaging. The system uses the CART algorithm to analyze the data, with sensors that detect CO, NO2, and HC. The evaluation of the system demonstrated its effectiveness, with recorded pollutant concentrations of 1.401 ppm for CO, 0.639 ppm for NO2, and 0.860 ppm for HC, and identified correlations between these pollutants. The EWS proved capable of providing timely alerts, ensuring continuous monitoring and management of indoor air quality, and contributing to public health and environmental protection.
Clusterization of MSMe and Warehouse Locations for Efficiency of Courier Placement Annisa Aulia Nadhila; Yuri Ariyanto; Yan Watequlis Syaifudin
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.66

Abstract

The increasing number of MSMes and the high demand for fast delivery present challenges for logistics companies in managing efficient routes and courier placement. Without proper clustering, warehouse placement and picking points are often uncoordinated, causing delivery delays and increased operational costs. This research aims to group MSMe and warehouse locations based on distance, delivery volume and demand patterns to find optimal zones for courier placement, thereby increasing the efficiency of delivery routes, reducing operational time and costs, and improving the quality of delivery services. The courier clustering management application uses the Scrum method, with database design based on class diagrams and functional processes through use cases and activity diagrams. Admin maps delivery areas based on sub-districts and determines fixed prices for each regional cluster. The process of optimizing the clustering of MSMe locations in City Geographic data for new shipments is retrieved via the Google Maps API, sending the complete address to the Geocodes API endpoint. The clustering process uses the K-Means method to group MSMe locations based on geographic proximity. The test results show the efficiency of logistics delivery as well as cheaper and fairer rates thanks to the application of flat rates for all courier service users, both for long and short distances.
Ensuring Data Integrity in Healthcare Records through Hybrid Storage and Blockchain-Backed Audit Trails Azmiansyah Azmiansyah; Yan Watequlis Syaifudin; Cahya Rahmad; Josafat Pratama Susilo; Triana Fatmawati; Yuri Ariyanto; Pramana Yoga Saputra; Indrazno Siradjuddin; Chandrasena Setiadi
Journal of Evrímata: Engineering and Physics Vol. 04 No. 01, 2026
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.vi.140

Abstract

Ensuring the integrity and auditability of Electronic Health Records (EHRs) is critical for patient safety, regulatory compliance, and trust in digital healthcare. Conventional audit mechanisms such as database logs, are inherently mutable and vulnerable to insider tampering, failing to meet stringent requirements for tamper-proof, independently verifiable data provenance. To address this, this paper proposes and implements a hybrid EHR integrity system that combines PostgreSQL for sensitive clinical data storage with a private Hyperledger Fabric blockchain for immutable audit logging. Only lightweight metadata and SHA-256 hashes of records (not full EHRs) are written to the blockchain, preserving privacy while enabling cryptographic verification. Deployed on modest, heterogeneous hardware and featuring a user-friendly web interface with batched audit workflows, the system achieves 100% tamper detection accuracy, 210 ms average write latency, and 45 TPS throughput that demonstrates feasibility for real-world, resource-constrained clinical environments. Our approach delivers strong, scalable data integrity without prohibitive overhead, bridging the gap between regulatory demands and practical healthcare IT deployment.
Beyond Aggregate Metrics: Item-Level Performance Variability in SBERT-Based Automated Short Answer Scoring for Programming Education Pramana Yoga Saputra; Yan Watequlis Syaifudin; Dika Rizky Yunianto; Triana Fatmawati; Rossa Akmalia; Farida Ariany; Yuri Ariyanto
Journal of Evrímata: Engineering and Physics Vol. 04 No. 01, 2026
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.vi.142

Abstract

Automated short answer scoring (ASAG) systems based on Sentence-BERT (SBERT) and cosine similarity are commonly evaluated using aggregate metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Pearson correlation, averaged across an entire item set. Aggregate reporting can conceal substantial variability at the level of individual items, masking failure patterns relevant to instructional reliability. This study re-examines item-level scoring data from a deployed SBERT-cosine similarity ASAG module within the BAJAPRO Basic Java Programming platform, comparing a single-reference synonym-expansion strategy against a multi-reference text-preprocessing strategy across 21 short explanatory items. Rather than reporting averages alone, performance is decomposed per item, revealing MAE ranging from 0.0007 to 0.070 and Pearson correlation ranging from 0.20 to 0.96 within a single evaluation condition, a range invisible in prior aggregate-only reporting. A qualitative failure case further shows SBERT-based similarity failing to distinguish semantically opposite mathematical operations expressed in near-identical sentence structures. The study explicitly reports its inability to verify item-to-concept mappings due to undocumented original evaluation scripts, treating this as a methodological finding on reproducibility practice in ASAG research rather than a limitation to be concealed. The findings argue for routine item-level reporting and improved experimental documentation in future SBERT-based ASAG studies.
Co-Authors Abdullah, Zaed Achmad, Ence Adevian Fairuz Pratama Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom Alfiandi Aulia Rahmadani Ali Ridho Muladawila Ali Ridho Muladawila Annisa Aulia Nadhila Ardyningrum, Nabilah Argyanti Arida Ferti Syafiandini Ariyanto, Yuri Atiqah Nurul Asri Auliya B, Muhammad Ayu, Tiara Imas Azmiansyah Azmiansyah Bariroh Isriya Nur Aini Budi Harijanto, Budi Cahya Rahmad Chandrasena Setiadi Chandrasena Setiadi Chandrasena Setiadi Devany Christabella Wijaya Didik Sunariyanto Dika Rizky Yunianto Dodo Zulkarnain Dwi Puspitasari Dwi Puspitasari DWI PUSPITASARI Elok Nur Hamdana Erfan Rohadi Excellina Excellina Excellina, Excellina Fadelis Sukya, Fadelis Fahrur R, Imam Fanani, Muhamad Zainul Farida Ariany Ferdy Hanan Pradana Firman Rachmad Caesar Hafizh Rizqi Prisadana Hein Htet Hendra Pradibta Hudriyah Mundzir, Hudriyah Ika Oktavia Pristisari Imam Fahrur Rozi Indrazno Siradjuddin Irawan, Rizki Andi Josafat Pratama Susilo Kyaw, Htoo Htoo Sandy M Hasyim Ratsanjani M. Hasyim Ratsanjani Mamluatul Hani’ah Moch Yusuf Mochamad Panggih Nirwanto Mufidah, Nursita Al Muhamad Aslam Amzazka, Muhamad Aslam Muhamad Zainul Fanani Muhammad Ashari Fajar Nugroho Muhammad Ashari Fajar Nugroho Muhammad Sofiul Fuad Ruslan Mungki Astiningrum Mustika Mentari Nabilah Argyanti Ardyningrum Nabilah Argyanti Ardyningrum Nadia Layra Aziza Nirwanto, Mochamad Panggih Nobuo Funabiki Nofyandi, Resqy Dwi Nur Aini, Bariroh Isriya Nursita Al Mufidah Pramana Yoga Saputra Pramana Yoga Saputra Pramana Yoga Saputra Pramana Yoga Saputra Pramudhita, Agung Nugroho Pratama, Muhammad Irgy Prisadana, Hafizh Rizqi Pristisari, Ika Oktavia Priyanto, Febryan Senja Rahmad, Cahya Rahmadani, Alfiandi Aulia Resqy Dwi Nofyandi Rizki Andi Irawan Rosa Andrie Asmara Rossa Akmalia Rudy Ariyanto salies Apriliyant Satria, Banni Setiawan, Budhy Siti Muzdalifatus Sa’adah Syafiandini, Arida Ferti Tiara Imas Ayu Tita Wijayanti Toga Aldila Cinderatama Triana Fatmawati Triana Fatmawati Utama, Cahyarizki Adi Yoppy Yunhasnawa Yuri Arianto Yuri Ariyanto Yuri Ariyanto Yuri Ariyanto Yuri Ariyanto Yuri Ariyanto Zulkarnain, Dodo