K

KaMiOS

Academic Operating System

AI-native platform for academic workflow and automation

KaMiOS is built to connect research, workflow, and identity.

A clean, dark-tech homepage for the KaMiOS ecosystem—connected to n8n for orchestration, the academic web for information, and Instagram for community and updates.

Mode

Live Frontend

Core

Next.js + Traefik

Backend

n8n Workflow Engine

Focus

Academic Automation

KaMiOS Stack

Public Frontend

Live

Primary Action

Open n8n orchestration

Workflow layer untuk automation, webhooks, dan integrasi sistem.

Academic Web

Academic portal and updates

Halaman informasi akademik dan resource utama ekosistem KAMDOL.

Social Presence

Instagram community channel

Konten visual, edukasi, dan distribusi awareness publik.

Why KaMiOS

Simple on the surface, structured underneath.

Homepage ini dibuat ringan untuk tetap cepat di VPS, sambil memberi jalur jelas ke sistem inti dan kanal publik.

Integrity Guard

Validasi alur, audit trail, dan kendali kualitas untuk menjaga sistem tetap rapi dan dapat ditelusuri.

Automation Layer

KaMiOS terhubung ke n8n untuk orkestrasi workflow, notifikasi, dan proses otomatis yang terstruktur.

Academic Intelligence

Dirancang untuk ekosistem akademik, riset, dan layanan digital yang butuh kecepatan sekaligus ketertiban.

Integrity Timeline

How Integrity Guard Engine evaluates submissions.

KaMiOS processes every submission through a structured integrity workflow designed for traceability, governance, and scalable automation.

01

Input Received

DOI, abstract, payload, or workflow submission enters the system.

02

Policy Validation

Integrity policies and security checks are evaluated.

03

Metadata Analysis

DOI structure, metadata consistency, and payload integrity are analyzed.

04

Risk Scoring

Severity scoring and risk classification are generated automatically.

05

Decision Routing

Submission is routed to PASS, HOLD, or REJECT workflow paths.

Audit Trace

Every integrity decision can produce structured outputs including session IDs, event IDs, severity scores, execution fingerprints, and workflow routing metadata for institutional traceability.

IGE Demo

Try Integrity Guard Engine in a live demo.

Paste a DOI, abstract, or workflow payload. The demo evaluates integrity signals and returns a decision with reason and trace ID.

• PASS = metadata is consistent and safe for automation.

• HOLD = input is incomplete or needs manual review.

• REJECT = suspicious integrity indicators were detected.

Live System Metrics

RSO Research Intelligence Dashboard

Real‑time observability powered by KAMI.OS# Temporal Event‑Sourced State Infrastructure. Every session, integrity check, and calibration event is tracked with an immutable audit trail.

Total Sessions

--

Active research contexts

Total Events

--

Immutable event log entries

Unresolved Issues

--

Dead letters pending

System Health

--

Integrity guardrails

Active Sessions (24h)

--

Recent research activity

Drift Detected (24h)

--

Projection consistency alerts

Avg Replay Duration

--

Snapshot‑to‑replay performance

Data dari RSO Event Store • rso_get_health_status() • rso_get_metrics_summary()

Suggested Citation

Cite KaMiOS in Academic Research

If you use KaMiOS, Integrity Guard Engine (IGE), DOI verification, research vault, or AI-assisted workflow orchestration in your research process, please cite the official KaMiOS paper below.

APA Format
Sutrisno, A. (2026). KAMDOL Academic OS: A Validated Research Risk Intelligence System for Pre-Submission Detection of Publication Failure Patterns. SSRN. https://doi.org/10.2139/ssrn.6711119
BibTeX
@article{sutrisno2026kamios,
  title={KAMDOL Academic OS: A Validated Research Risk Intelligence System for Pre-Submission Detection of Publication Failure Patterns},
  author={Sutrisno, Agus},
  year={2026},
  journal={SSRN},
  doi={10.2139/ssrn.6711119},
  url={https://doi.org/10.2139/ssrn.6711119}
}