Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(1), P. 66 - 76
Published: Nov. 25, 2024
Dirty
(non-renewable)
energy,
considered
environmentally
harmful
due
to
greenhouse
gas
emissions,
is
contrasted
with
clean
(renewable)
which
believed
have
positive
ecological
impacts
that
can
boost
economic
growth
in
the
long
term.
This
study
analyzes
long-term
effects
of
electricity
generation
from
both
dirty
and
energy
sources
on
Indonesia,
using
data
two
periods:
before
COVID-19
pandemic
(2000–2019)
full
period
including
(2000–2022).
Empirical
findings
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
Dynamic
(DOLS)
methods
reveal
significantly
periods,
while
does
not
a
substantial
effect.
A
robustness
check
conducted
Canonical
Cointegrating
Regression
(CCR)
method
confirms
continues
play
crucial
role
Indonesia's
growth.
key
finding
impact
was
stronger
compared
before.
suggests
contributed
more
during
pandemic.
The
recommends
balanced
approach
by
prioritizing
transition
recognizing
importance
economy.
should
be
gradual,
current
support
development
investing
alternatives
for
sustainable
Ekonomikalia Journal of Economics,
Journal Year:
2024,
Volume and Issue:
2(2), P. 95 - 104
Published: Aug. 23, 2024
This
study
examines
the
growing
demand
for
large
livestock
and
poultry
meat
in
Indonesia,
reflecting
changing
consumption
patterns
economic
growth.
However,
this
phenomenon
faces
challenges
such
as
price
fluctuations
between
provinces,
declining
per
capita
income,
supply-demand
gaps
that
affect
access
to
of
animal
protein.
Utilizing
panel
data
from
34
provinces
covering
period
2015
2022
employing
an
Autoregressive
Distributed
Lag
(ARDL)
model,
analyzes
short-
long-run
relationships
demand.
The
results
indicate
short
run,
prices
income
significantly
influence
demand,
while
tuna
have
no
noticeable
effect.
In
long
prices,
fish
substitutes
contributes
development
sector
provides
information
farmers
plan
production,
advises
government
educate
public
about
protein
sufficiency
conduct
market
operations
stabilize
maintain
availability.
findings
are
expected
help
fulfill
current
future
Indonesia.
Infolitika Journal of Data Science,
Journal Year:
2024,
Volume and Issue:
2(1), P. 1 - 8
Published: May 9, 2024
As
the
global
energy
landscape
shifts
towards
sustainable
sources,
geothermal
emerges
as
a
pivotal
renewable
resource,
particularly
in
regions
with
abundant
potential
like
Indonesia.
This
study
focuses
on
Mount
Seulawah
Aceh
Province,
region
rich
resources,
to
optimize
selection
of
power
plant
(GPP)
sites
using
Multi-Objective
Optimization
Basis
Ratio
Analysis
(MOORA)
method.
Our
approach
integrates
environmental,
technical,
and
accessibility
criteria,
including
distance
settlements,
land
slope,
proximity
fault
lines
heat
road
access.
By
employing
structured
decision
matrix
applying
MOORA,
we
systematically
evaluated
ranked
based
their
suitability
for
GPP
development.
The
results
highlight
site
at
Ie
Brôuk
most
optimal
due
its
minimal
environmental
impact
superior
geological
conditions.
not
only
contributes
strategic
deployment
resources
Indonesia
but
also
provides
replicable
model
other
similar
potentials,
emphasizing
importance
balanced
informed
selection.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(20), P. 9501 - 9501
Published: Oct. 17, 2024
Global
efforts
to
achieve
climate
neutrality
increasingly
rely
on
innovative
urban
planning
and
design
strategies.
This
study
focuses
the
identification
application
of
key
performance
indicators
(KPIs)
support
policymakers
local
authorities
in
driving
sustainable
transitions.
Using
a
real-life
case
European
cities
countries,
this
research
leverages
data
analytics
machine
learning
inform
decision-making
processes.
Specifically,
k-means
clustering
algorithm
was
employed
group
countries
based
socioeconomic
environmental
KPIs,
while
principal
component
analysis
used
rank
most
influential
shaping
these
clusters.
The
highlighted
GDP
per
capita,
corruption
perception,
climate-related
expenditure
as
drivers
clustering.
Additionally,
time
series
KPI
trends
demonstrated
impact
policy
decisions
over
time.
showcases
how
data-driven
approaches
can
provide
valuable
insights
for
planners,
offering
robust
framework
evaluating
improving
climate-neutrality
strategies
at
both
city
country
levels.
Infolitika Journal of Data Science,
Journal Year:
2024,
Volume and Issue:
2(2), P. 53 - 61
Published: Nov. 19, 2024
The
current
climate
change
is
causing
the
upwelling
phenomenon
to
occur
frequently
in
lakes
and
reservoirs.
As
a
result
of
this
phenomenon,
thousands
fish
die,
floating
net
cage
farmers
suffer
losses.
From
existing
studies,
temperature
sensors
are
used
determine
condition
body
water
experiencing
or
not.
Therefore,
study
applies
clustering
historical
data
from
2017-2023
using
semi-supervised
learning
approach
that
produces
two
labels:
"potential
for
upwelling"
"no
potential
upwelling."
In
process,
divided
into
clusters
K-Means
Clustering,
Support
Vector
Machine
(SVM)
chosen
classify
them.
performance
proposed
algorithm
expressed
with
accuracy,
precision,
recall,
F1-score
values
0.99,
0.995,
0.970,
0.985,
respectively.
analysis
results
show
model
has
excellent
identifying
potential.
By
method,
information
about
can
be
obtained
more
quickly
accurately,
allowing
take
appropriate
preventive
measures.
This
also
shows
combination
Clustering
effectively
analyze
generate
useful
predictions.
Indatu Journal of Management and Accounting,
Journal Year:
2024,
Volume and Issue:
2(2), P. 55 - 67
Published: Aug. 1, 2024
This
study
investigates
the
effects
of
digital
marketing,
service
quality,
and
product
excellence
on
customer
loyalty,
with
satisfaction
serving
as
a
mediating
variable.
Focusing
Bank
Aceh
Syariah
(BAS)
in
Province,
Indonesia,
this
research
uses
Structural
Equation
Modeling
(SEM)
approach
reveals
that
both
quality
marketing
significantly
enhance
at
BAS,
while
does
not
exhibit
similar
influence.
Further
analysis
demonstrates
positively
impacts
loyalty.
Interestingly,
do
directly
affect
loyalty;
however,
partially
mediates
relationship
between
These
findings
underscore
critical
importance
fostering
promoting
For
banks
aiming
to
highlights
necessity
robust
strategies
superior
quality.
While
is
important
for
meeting
needs,
it
appears
less
significant
driving
loyalty
compared
marketing.
By
prioritizing
these
areas,
BAS
can
achieve
higher
levels
satisfaction,
leading
sustained
Indatu Journal of Management and Accounting,
Journal Year:
2024,
Volume and Issue:
2(2), P. 68 - 80
Published: Nov. 29, 2024
Ensuring
financial
system
stability
is
paramount,
especially
in
markets
guided
by
Sharia
principles,
where
investor
confidence
and
adherence
to
ethical
standards
play
critical
roles.
The
ability
accurately
forecast
stock
movements
within
this
framework
not
only
supports
informed
investment
decisions
but
also
strengthens
the
overall
of
markets.
This
research
employs
innovative
Neural
Prophet
model
predict
Islamic
indices
Indonesia
with
remarkable
accuracy
depth.
demonstrates
its
capability
forecasting
trends
detecting
subtle
fluctuations
three
indices:
Jakarta
Index
(JII),
70
(JII70),
Stock
(ISSI).
Visual
representations
highlight
model's
adaptability
advanced
foresight,
surpassing
traditional
models.
significance
lies
potential
enhance
precision
index
predictions,
particularly
for
stocks,
offering
stakeholders
deeper
insights.
effectiveness
spans
both
stable
volatile
market
conditions,
making
it
a
valuable
tool
decision-making.
Accurate
forecasts
aid
risk
management
support
well-informed
fluctuating
markets,
thereby
contributing
stability.
Indatu Journal of Management and Accounting,
Journal Year:
2024,
Volume and Issue:
2(2), P. 81 - 95
Published: Dec. 7, 2024
This
study
examines
the
impact
of
determinants
consumer
confidence
in
Indonesia,
one
largest
markets
world.
Various
macroeconomic
factors
are
assessed,
including
economic
growth,
government
expenditure,
price
index,
interest
rates,
unemployment,
and
stock
using
monthly
data
from
January
2009
to
December
2022.
The
employs
Autoregressive
Distributed
Lag
(ARDL)
model
as
primary
method,
with
robustness
checks
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
Canonical
Cointegrating
Regressions
(CCR).
results
indicate
that
all
selected
significantly
influence
confidence,
particularly
a
long-term
perspective.
Economic
growth
unemployment
have
positive
impact,
while
prices
exert
negative
effect.
These
findings
suggest
businesses
should
align
their
strategies
trends
capitalize
on
periods
strong
sentiment
mitigate
risks
during
downturns.
Simultaneously,
policymakers
prioritize
effectively
managing
key
sustain
enhance
overall
confidence.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(1), P. 26 - 38
Published: Sept. 24, 2024
Sustainable
economic
growth
is
a
key
goal
for
every
developing
country,
including
Indonesia.
In
this
context,
several
factors
have
been
identified
as
the
main
determinants
influencing
pace
of
growth.
This
study
investigates
Indonesia’s
in
relation
to
foreign
direct
investment
(FDI),
private
investment,
government
spending,
and
labor.
The
Autoregressive
Distributed
Lag
(ARDL)
method
applied
analyze
time
series
data
from
1986
2022.
results
indicate
that,
long
term,
spending
has
positive
significant
effect
on
Indonesia,
while
labor
negative
effect.
short
FDI
impact
Therefore,
regulations
policies
are
needed
Indonesia
regarding
tax
collection,
currency
stabilization,
facilitation
permit
acquisition,
protection,
legal
certainty.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(1), P. 52 - 65
Published: Nov. 15, 2024
The
value
of
potential
GDP
lost
due
to
stunting
varies
between
countries.
Stunting
is
not
only
an
indicator
well-being
but
also
a
prerequisite
for
increasing
productivity.
problem
can
lead
decrease
in
productivity,
which,
turn,
lower
economic
output.
Indonesia
one
the
countries
that
still
faces
problems.
This
study
aims
analyze
role
protein
consumption
mediating
effect
food
security
on
prevention
Indonesia.
data
used
panel
covering
34
provinces
period
2018-2021,
resulting
136
observations.
model
this
path
analysis.
There
are
two
models
estimated
using
regression
analysis:
equation
and
model.
against
variables
consumption.
In
second
model,
availability
through
approach.
results
show
influences
prevention.
Increasing
affects
Protein
mediates
Government
policies
increase
be
achieved
formal
informal
education.
Fiscal
such
as
sugar
tax
unhealthy
foods
or
drinks
with
low
nutritional
applied
create
substitution
impacts
increased
Labor-intensive
policy
agricultural
sector
needed
promote
security,
consumption,
simultaneously.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(1), P. 66 - 76
Published: Nov. 25, 2024
Dirty
(non-renewable)
energy,
considered
environmentally
harmful
due
to
greenhouse
gas
emissions,
is
contrasted
with
clean
(renewable)
which
believed
have
positive
ecological
impacts
that
can
boost
economic
growth
in
the
long
term.
This
study
analyzes
long-term
effects
of
electricity
generation
from
both
dirty
and
energy
sources
on
Indonesia,
using
data
two
periods:
before
COVID-19
pandemic
(2000–2019)
full
period
including
(2000–2022).
Empirical
findings
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
Dynamic
(DOLS)
methods
reveal
significantly
periods,
while
does
not
a
substantial
effect.
A
robustness
check
conducted
Canonical
Cointegrating
Regression
(CCR)
method
confirms
continues
play
crucial
role
Indonesia's
growth.
key
finding
impact
was
stronger
compared
before.
suggests
contributed
more
during
pandemic.
The
recommends
balanced
approach
by
prioritizing
transition
recognizing
importance
economy.
should
be
gradual,
current
support
development
investing
alternatives
for
sustainable
