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All Journal Indonesian Journal of Electronics and Instrumentation Systems Jupiter Coding: Jurnal Komputer dan Aplikasi Telematika : Jurnal Informatika dan Teknologi Informasi SEMIRATA 2015 Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA BULETIN AL-RIBAATH JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat G-Tech : Jurnal Teknologi Terapan Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Embedded Systems, Security and Intelligent Systems Mekongga: Jurnal Pengabdian Masyarakat
Ikhwan Ruslianto
Jurusan Rekayasa Sistem Komputer, Fakultas MIPA Universitas Tanjungpura
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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Sistem Pemantauan Suhu, Kelembapan Udara dan pH Air pada Rumah Anggur berbasis Internet of Things Menggunakan Aplikasi Website Mislaini Mislaini; Ikhwan Ruslianto; Kasliono Kasliono
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6675

Abstract

Grapes are plants that are difficult to grow in tropical climates. It requires specific enviromental conditions as well as special care, with optimal growth of grapes occuring in lowlands (0-300 masl) with a humidity score ranging from 75% - 80% humidity and temperatures between 23°C - 31°C, and a water pH level from 5.5 pH - 7.3 pH. To achieve these ideal conditions, technology in the form of an Internet of Things (IoT) system and a greenhouse is used in order to monitor and control the grapes' growing environment. The use of this technology aims to improve efficiency and productivity by taking into account the temperature, humidity and water pH level as factors which affect the growth, quality, and yield of grapes. Research result shows that the use of IoT technology in controlling temperature and humidity air effectively increases the productivity of grapes. This can be seen from the increase in the number of leaves, stem length, and number of shoots on grapes that were monitored and controlled by the IoT system. The results of testing the accuracy of each sensor by conducting 15 experiments show that the average water pH measurement accuracy is 0.1%, while temperature measurements and air humidity has an average accuracy of 0.1% and 0.3% respectively. In addition, the average response time of the system in controlling mist makers, fans and pumps alkaline is 3 seconds based on 15 tries.
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.
Co-Authors , Syahru Rahmayuda, Haris Febriyanto Ramadhan , Sampe Hotlan Sitorus Agus Harjoko Anugrah Savari Hadisastra Bagus Kurniawan, Bagus Basuki Ilham, Maulana Caecilia Cantica Gita Mileniae Ahen Cucu Suhery Dian Prawira, Dian Dwi Marisa Midyanti Erniajan, Yunita Faizal Cahyo Handoko Fazar Dawamsyach Frasila Frasila Hafiz Muhardi hamdi hamdi Hansen Alexander Rustan Hidayat, Donny Hirzen Hasfani Hutomo Sakti Kartiko Irma Nirmala Irvan Denata Junardi Junardi Kartika Sari Kasliono Kasliono Kevin William Marisa Midyanti, Dwi Mella Geovanie Michael Michael Mislaini Mislaini Muhammad Nauval Muhammad Soneta Rizkilillah Mulia, Agung Wira Nindi, Pipin Puspa Perdussanto, Fortunatus Prawira, Ari Yudha Rahmi Hidayati Ramadhan, Fahri Rayco William Retno Vipyana Suryani Ricky Oktariyadi Ridho Subhi Ridwan, Muhammad Taufik Sampe Hotlan Sitorus, Sampe Hotlan Suhardi Suhardi Suhardi . Suhardi Suhardi Syamsul Bahri Syamsul Bahri TAQIYUDDIN, YASPIN Tedy Rismawan Tengku Nopriyanti Murti Thomas Adi Putra Tiara, Ezha Tivano, Dio Uray Ristian Wenewasti, Ignatia Tri Wijang Widhiarso Willy Surya Hidayat Yakobus Dapi Yasharsujud, Fauzi Zettia, Zhara