Action Plan B
Forensics Training
AGUNG HARSOYO
SARWONO SUTIKNO
YUSUF KURNIAWAN
Funding
Structure
Partner
Long-Term
Outcomes
Mid-Term
Outcomes
Inputs Activities Outputs
Short-Term
Outcomes
Culture
Research
What resources will be
use to support the
project?
What are the main things
the project will do/provide?
How many and what sort of
observable/ tangible results
will be achieved?
What will occur as a direct
result of the activities &
outputs? (typically, changes
in knowledge, skills,
attitudes)
• NSF funding
• Faculty
• Advisory panel
• Industry partners
• In-kind contributions
• ATE resource centers
• Establish regional partnerships
• Develop curriculum
• Conduct workshops
• Provide research/ field
experiences
• Hold conference
• Establish articulation
agreement
DFP = Digital Forensic
Professional
DF = Digital Forensic
DFE = Digital Forensic Evident
• People engaged (students,
faculty, industry partners)
• Curriculum materials developed
• Policies created
• Publications issued
• Certification standards
established
• High school students have
increased awareness of
technical career opportunities
• Faculty improve their
pedagogical skills
• More students enter workforce
with 21st century skills
What results should follow
from the initial outcomes?
(typically changes in
behavior, policies, practice)
• Improved retention
• More effective classroom
instruction
• Increased number of job
placements in technical fields
• Increased employer
satisfaction
• Increased regional economic
vitality
• Increased diversity in the
technical workforce
• A more highly skilled and
adaptable workforce
What results should follow
from the initial outcomes
(typically, changes in
broader conditions)
Logic Model for Indonesia Digital Forensics v04 – October 2014
Examples:
Awareness,
Training, Education
Law and
Regulation
harmonization for
Digital Forensics
Digital Forensic
Competition for
Student and
Professional
DFP Organization
# people attend
Awareness,
Training, Education
on DF
# harmonized Law
and regulation for
DF
# independent DF
institution
Pool of experts on
DF
Code of Ethics for
DFP
Top leader
awareness of
Forensic Readiness
strengthen DFP
association –
ISO17024
increased legal
certainty DFE
Improvement skill
and competency
DFP
Increased DFE usage
for Corruption
Eradication
lower of digital
crime
Improved control
and independency
of DFP
Increased DFE
usage for
Crime Prevention
Improved ethics of
DFP
Increased public
confidence in
digital forensic
related law and
regulation, and big
data analitic
Staff
Governance, Risk,
Control
Knowledge, Skill,
Attitude DFP
Big Data Analitic
for Organized Crine
Initialized Big Data
Analitic for
Organized Crine
Effective Big Data
Analitic usage for
Organized Crine

Action plan b

  • 1.
    Action Plan B ForensicsTraining AGUNG HARSOYO SARWONO SUTIKNO YUSUF KURNIAWAN
  • 4.
    Funding Structure Partner Long-Term Outcomes Mid-Term Outcomes Inputs Activities Outputs Short-Term Outcomes Culture Research Whatresources will be use to support the project? What are the main things the project will do/provide? How many and what sort of observable/ tangible results will be achieved? What will occur as a direct result of the activities & outputs? (typically, changes in knowledge, skills, attitudes) • NSF funding • Faculty • Advisory panel • Industry partners • In-kind contributions • ATE resource centers • Establish regional partnerships • Develop curriculum • Conduct workshops • Provide research/ field experiences • Hold conference • Establish articulation agreement DFP = Digital Forensic Professional DF = Digital Forensic DFE = Digital Forensic Evident • People engaged (students, faculty, industry partners) • Curriculum materials developed • Policies created • Publications issued • Certification standards established • High school students have increased awareness of technical career opportunities • Faculty improve their pedagogical skills • More students enter workforce with 21st century skills What results should follow from the initial outcomes? (typically changes in behavior, policies, practice) • Improved retention • More effective classroom instruction • Increased number of job placements in technical fields • Increased employer satisfaction • Increased regional economic vitality • Increased diversity in the technical workforce • A more highly skilled and adaptable workforce What results should follow from the initial outcomes (typically, changes in broader conditions) Logic Model for Indonesia Digital Forensics v04 – October 2014 Examples: Awareness, Training, Education Law and Regulation harmonization for Digital Forensics Digital Forensic Competition for Student and Professional DFP Organization # people attend Awareness, Training, Education on DF # harmonized Law and regulation for DF # independent DF institution Pool of experts on DF Code of Ethics for DFP Top leader awareness of Forensic Readiness strengthen DFP association – ISO17024 increased legal certainty DFE Improvement skill and competency DFP Increased DFE usage for Corruption Eradication lower of digital crime Improved control and independency of DFP Increased DFE usage for Crime Prevention Improved ethics of DFP Increased public confidence in digital forensic related law and regulation, and big data analitic Staff Governance, Risk, Control Knowledge, Skill, Attitude DFP Big Data Analitic for Organized Crine Initialized Big Data Analitic for Organized Crine Effective Big Data Analitic usage for Organized Crine

Editor's Notes

  • #5 DFP = Digital Forensic Professional DF = Digital Forensic DFE = Digital Forensic Evident