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All Journal Jurnal IPTEK Bagi Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Journal of Embedded Systems, Security and Intelligent Systems
Wijang Widhiarso
Universitas Teknologi Digital Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Mechanical Engineering Physics Public Health Social Sciences

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Secure Automated Reconnaissance Using LLM Agents and a Layered Cryptographic Protection Pipeline Ikhwan Ruslianto; Wijang Widhiarso; Hafiz Muhardi
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i2.2621

Abstract

Purpose – This study aims to design and evaluate a secure reconnaissance platform that integrates Large Language Model (LLM) agents for dynamic tool orchestration with a layered cryptographic protection pipeline to accelerate penetration-testing information gathering while protecting sensitive artefacts. Design/methods/approach – The platform unifies Nmap, WHOIS, and theHarvester under an LLM controller that generates command-line parameters through schema-constrained orchestration. Each output is validated against a strict JSON schema before execution. The protection pipeline applies AES-256-GCM with envelope keys for confidentiality, HMAC-SHA256 hash chaining for tamper-evident logs, Ed25519 signatures for report-level non-repudiation, and Argon2id-derived session keys. Evaluation was conducted on three public domains across thirty runs each, measuring latency, cryptographic overhead, verification integrity, signature validation, and an internal CVSS-informed triage score. Findings - The prototype showed that automated reconnaissance and cryptographic auditability can be combined with limited performance cost. A full pass over untan.ac.id completed in 14.97 seconds and produced an internal triage-heuristic score of 78/100. Cryptographic operations added 312 ms on average, equal to about 2.08% of total latency. All hash-chain links were verified, and Ed25519 signatures were validated in 71 µs. Research implications/limitations – The findings support red-team and blue-team workflows requiring faster, auditable reconnaissance reporting. However, the evidence is limited to three public domains under one network condition; therefore, the results should be interpreted as feasibility evidence, not generalisable performance claims. The risk score is an internal prioritisation heuristic, not a validated severity instrument. Originality/value – The study contributes a secure LLM-orchestrated reconnaissance framework that integrates structured command orchestration with cryptographic safeguards for confidentiality, integrity, and non-repudiation.
Implementasi Algoritma Arima Untuk Optimasi Sistem Prediksi Pembayaran Impor Multi-Negara Berbasis Time-Series Wijang Widhiarso; Alfiarin; Deni Apriadi; Dytha Ananda Widhiarso
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1128

Abstract

Dalam ekosistem Keuangan Komputasi, peramalan arus kas sekuensial yang akurat merupakan tantangan komputasi yang signifikan karena tingginya volatilitas dan derau (noise) yang melekat pada data ekonomi global. Makalah ini bertujuan untuk mengimplementasikan algoritma Autoregressive Integrated Moving Average (ARIMA) sebagai solusi komputasi yang tangguh untuk memprediksi beban pembayaran impor internasional. Masalah utama yang diangkat adalah terbatasnya kemampuan sistem pendukung keputusan konvensional dalam menangani data tidak stasioner yang berasal dari transaksi 11 negara mitra antara tahun 2010 dan 2023. Kontribusi makalah ini terletak pada perumusan parameter (p, d, q) yang optimal melalui pendekatan statistik komputasi, menghasilkan model yang dicirikan oleh efisiensi tinggi (kompleksitas rendah) namun tetap mempertahankan akurasi tinggi. Dengan menggunakan kumpulan data 'Import Payments - by Country (1).csv', hasil eksperimen menunjukkan bahwa model ARIMA (1,1,1) mencapai Mean Absolute Percentage Error (MAPE) sebesar 14,89% pada data pembayaran impor Tiongkok, yang memiliki volatilitas tertinggi. Bukti ini menegaskan bahwa algoritma ARIMA dapat berfungsi sebagai mesin inti yang andal untuk sistem peramalan keuangan otomatis, terutama di lingkungan dengan sumber daya komputasi yang terbatas.
PEMBERDAYAAN KADER POSYANDU DALAM PEMBUATAN MEDIA PROMOSI KESEHATAN DIGITAL MENGGUNAKAN APLIKASI CANVA Alfiarini Alfiarini; Deni Apriadi; Robi Yanto; Wijang Widhiarso
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 6 (2025): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i6.3393

Abstract

Pengabdian ini bertujuan untuk memberdayakan kader posyandu dalam meningkatkan kemampuan pembuatan media promosi kesehatan digital melalui pemanfaatan aplikasi Canva sebagai sarana pendukung edukasi kesehatan masyarakat. Metode pengabdian yang digunakan adalah pendekatan pengabdian kepada masyarakat (PKM) dengan tahapan perencanaan, persiapan, pelaksanaan, dan evaluasi, yang dilaksanakan melalui kegiatan pelatihan, praktik langsung, asistensi, serta evaluasi menggunakan pre-test, post-test, dan kuesioner umpan balik peserta. Hasil pengabdian menunjukkan adanya peningkatan kemampuan kader posyandu secara signifikan, di mana sebelum kegiatan hanya 25% peserta memiliki pengetahuan dasar desain digital, sedangkan setelah pelatihan sebanyak 90% peserta mampu membuat media promosi kesehatan secara mandiri menggunakan aplikasi Canva dan memanfaatkannya melalui media sosial. Simpulan dari kegiatan ini adalah bahwa pelatihan penggunaan aplikasi Canva efektif dalam meningkatkan kapasitas kader posyandu dalam promosi kesehatan digital serta mendukung transformasi metode edukasi kesehatan dari konvensional menuju digital yang lebih luas dan berkelanjutan.
Microsoft Excel and Google Form Training for Administrative Data Management of Hamlet Heads in Wedomartani Aloysius Agus Subagyo; Asyahri Hadi Nasyuha; Wijang Widhiarso; Mesti Woro Mahatmi; Catur Setyono
Jurnal IPTEK Bagi Masyarakat Vol 6 No 1 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v6i1.1715

Abstract

The administration of hamlets at the grassroots level requires orderly data management and clear information presentation to support effective public services. Hamlet heads (Kepala Padukuhan) in Wedomartani Village still face limitations in processing administrative data and presenting information digitally, as recording activities largely rely on manual methods and paper-based forms. This community service activity aims to improve the competence of hamlet heads in administrative data processing and information visualization through the use of Microsoft Excel and Google Form. The activity was carried out through three stages, namely preparation, training implementation, and mentoring with evaluation, using participatory and learning by doing approaches. Data were collected through pre-test and post-test, direct observation, and a participant satisfaction questionnaire. The results showed an increase in the average participant mastery score from 37.2% in the pre-test to 81.6% in the post-test, an improvement of 44.4 points across the five trained competency aspects. Participants were able to process administrative data, create tables and simple charts in Microsoft Excel, and design digital forms with Google Form for community data collection. The activity also produced ready-to-use Excel and Google Form templates. It is concluded that practical and applicable training effectively strengthens the digital capacity of hamlet heads and supports more orderly, accurate, and efficient administrative governance.
Co-Authors ., Alfiarini Alfiarin Aloysius Agus Subagyo Asyahri Hadi Nasyuha Catur Setyono Deni Apriadi Dytha Ananda Widhiarso Hafiz Muhardi Ikhwan Ruslianto Mesti woro Mahatmi Robi Yanto