Indonesia: Metro TV

20261105 05:00 UTC · 00:30:59 · 563 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

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Transcript

Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking. Treat it as a searchable index of what was broadcast, not a quotation record.

00:00:00Yes, uh, some questions that
00:00:03were conveyed online.
00:00:07The first question
00:00:11is government consumption
00:00:14reached
00:00:168.95%
00:00:18year-on-year in Q3 of 2026.
00:00:21What specific
00:00:25programs
00:00:29developments and the triggered high government spending this quarter? So,
00:00:31for Q3, if we look at
00:00:34the government consumption component, government spending
00:00:38is quite high,
00:00:408.95%,
00:00:43mainly driven by an increase
00:00:45in spending, salaries, and allowances for ASN,
00:00:49especially P3K.
00:00:52The number of P3K in Q3 2026
00:00:56increased significantly
00:00:58compared to Q3 2025.
00:01:03real consumer side, So, there was an additional
00:01:05P3K for this year, because as I recall,
00:01:09the addition was at the end of
00:01:122025, so now it has increased a lot.
00:01:16Then, the second is still the
00:01:20impact of the free nutritious
00:01:23meal program, which also experienced acceleration if we
00:01:26compare it with the same period
00:01:30in Q3 2025.
00:01:322025
00:01:35It might be necessary to inform all of you
00:01:38that the free meal program
00:01:40is
00:01:43disbursed in the form of goods to
00:01:47the community and is recorded as
00:01:50part of government consumption
00:01:53expenditure. So, MBG in the form of food
00:01:56delivered to the community is part of government
00:02:00expenditure and is recorded in the GDP from the expenditure
00:02:04side, so the acceleration of this program also
00:02:07contributes
00:02:09Meanwhile, significantly to the growth of government consumption
00:02:13in Q3 2026.
00:02:16Now, the
00:02:20second, the second question is quarterly,
00:02:23or Q-to-Q economic
00:02:26growth in Q3 2026 was only
00:02:301.59%.
00:02:34Is this an early sign of economic
00:02:37weakening in the second half of this year? So,
00:02:41if we look at the Q3 achievement
00:02:44on a Q-to-Q
00:02:47ICLS, which basis, it does show a slowdown in economic growth momentum, but
00:02:49it is not strong enough to conclude that there is
00:02:54is more than 3,000 an economic slowdown. From the Q-to-Q side, its growth
00:02:58is lower compared to Q2. Indeed, 2026
00:03:02is also indeed indicates that economic activity
00:03:05is no longer as strong as the previous quarter, but
00:03:09it still grew compared to Q2. This means
00:03:12that when Q2 grew more, and then
00:03:16Q3 still grew Q-to-Q, it means the economy
00:03:19continues to move better,
00:03:22more than the previous Q2. We also
00:03:26need to consider seasonal
00:03:30factors, because these seasonal patterns
00:03:33also, especially the high Q2 base effect
00:03:36due to several celebrations,
00:03:40in this quarter, even though like Eid al-Fitr and school holidays in Q2.
00:03:43libur sekolah di triwulan 2
00:03:46Meanwhile, year-on-year
00:03:50in Q3, it increased from 5.29 to
00:03:55the economic growth 5.47, even higher than
00:03:58Q3 last year, which was 5.04. This means that overall,
00:04:02annually,
00:04:04the economic capacity still shows
00:04:08expansion and has not shown any real
00:04:11weakness. Then,
00:04:15the question online,
00:04:18online,
00:04:21sorry, the processing industry
00:04:24is still the largest contributor and source of growth.
00:04:281.20% amidst
00:04:32the issue of deindustrialization,
00:04:35which subsector actually supports our manufacturing
00:04:39the most? The subsector that
00:04:42most supports the manufacturing industry is the
00:04:45food and beverage industry with a growth source
00:04:49of approximately 0.50%.
00:04:52This subsector has consistently continued
00:04:56to be a source of Indonesia's growth, a source of
00:05:00manufacturing growth in Indonesia. In addition,
00:05:04the next subsector is the chemical,
00:05:07pharmaceutical, and traditional medicine industry with a growth source
00:05:10of 0.16%, and also followed by
00:05:14the subsector or basic
00:05:17metal industry with a growth source
00:05:20of 0.14%. So, the breakdown
00:05:23earlier, the 1.2% growth source
00:05:27for the processing industry
00:05:30got 0.5 from the food
00:05:33and beverage industry, then 0.16
00:05:37from the chemical, pharmaceutical, and traditional
00:05:40medicine industries, and 0.14
00:05:43from the basic metal industry. So, overall,
00:05:46about 0.8 of
00:05:49the 1.20
00:05:51industry is contributed by these three
00:05:54subsectors. Then, ladies and gentlemen,
00:05:58semua
00:06:01regarding
00:06:04the open unemployment
00:06:07rate, TPT in August
00:06:102026 decreased to
00:06:134.75%
00:06:15compared to August last year. However,
00:06:19the public often questions why the unemployment rate in
00:06:23August is usually always higher compared to the
00:06:27February or May releases in the same
00:06:30year. How does BPS explain
00:06:34this phenomenon?
00:06:37Ladies and gentlemen, there is a seasonal influence,
00:06:41where in August, usually,
00:06:44there are many new job
00:06:48seekers from those who have just completed
00:06:51their education, as an additional
00:06:54supply to the workforce. So, usually, graduates
00:06:56of both secondary education and
00:07:00higher education usually graduate in the middle
00:07:04of the year, around June or July. So, when
00:07:07they graduate, they become a supply to
00:07:11our labor market. Therefore, in August,
00:07:15usually, the labor supply,
00:07:18the workforce supply, increases. This can
00:07:21cause an increase in TPT in
00:07:24August 2026 compared to February
00:07:28and May 2026.
00:07:31In addition, in February and May,
00:07:34there are planting and harvesting seasons, which cause
00:07:38an increase in the number of people working, especially
00:07:41in the agricultural sector, in February-May
00:07:452026 compared to August
00:07:472026. The
00:07:51second
00:07:53is the unemployment rate. TPT decreased
00:07:56to
00:07:584.75%.
00:08:00However, are the jobs created of good quality, or
00:08:04are we just creating informal
00:08:08workers? Indeed, TPT has decreased, but the percentage
00:08:12of informal workers has increased from
00:08:1657.80% in August
00:08:202025 to
00:08:2457.93% in August
00:08:272026. In addition, there was
00:08:31an increase in the underemployment rate, or those
00:08:34who work less than 35
00:08:38hours per week and are still looking
00:08:41for work, from 7.91%
00:08:44in August
00:08:482025 to 8.68% in
00:08:51August
00:08:522026.
00:08:55The next question online
00:08:58is related to the HDI issue. Our
00:09:02life expectancy increased to
00:09:0574.68
00:09:07years. What health policies had the
00:09:10most direct impact on the increase
00:09:14in life expectancy for Indonesian citizens in
00:09:172026? So, the UHH in
00:09:212026 indeed became
00:09:2474.68 years, mainly
00:09:27due to programs in the
00:09:30health sector,
00:09:34such as free health check-up programs,
00:09:38then consortium policies,
00:09:42the first 100-day
00:09:45consortium, then the construction
00:09:48of health facilities focused on early
00:09:52disease detection, stunting prevention, and more
00:09:55equitable basic health services.
00:09:57The better the access to health care and
00:10:01the quality of health services, the risk of
00:10:05premature death, infant and under-five mortality
00:10:08decreases. So, indeed, the most important factor
00:10:11when we want to increase life expectancy
00:10:15is how we
00:10:18handle or reduce
00:10:21infant and under-five mortality rates. So, health
00:10:25programs related to
00:10:28handling infant and under-five mortality
00:10:31will certainly have a big impact on
00:10:34life expectancy. Then, ladies and gentlemen,
00:10:37semua,
00:10:40there is a question from Mr.
00:10:44Adin from Berita 1 via
00:10:46Zoom,
00:10:49to clarify how the method
00:10:52for calculating the working population works.
00:10:55Is
00:10:57someone who works at least 1 hour a week
00:11:01already categorized as a working
00:11:03person? That's the first one. Then,
00:11:07the second question:
00:11:10if there is a worker who is laid
00:11:13off,
00:11:16wait
00:11:21it disappeared from the screen, wait a moment.
00:11:26Sorry, sorry.
00:11:37If there is a worker who is laid
00:11:39off
00:11:42from a company and then switches to being an
00:11:45informal worker or works fewer hours,
00:11:48is that person still
00:11:51counted as a working person?
00:11:55How does BPS view the changes in the condition
00:11:59and quality
00:12:00of that
00:12:08job? So, it's true, the first one was about
00:12:11the concept of the working population.
00:12:15Someone who performs work
00:12:19to earn or help earn
00:12:22income.
00:12:25A minimum of 1 hour a week is categorized
00:12:29as a working person. You also mentioned
00:12:32it, so if someone works at
00:12:35least 1 hour a week, this concept also applies
00:12:39internationally. The basic concept
00:12:42from ILO is 1 hour a week of
00:12:46work, then they fall into the category of
00:12:49working people to earn or
00:12:52help earn income.
00:12:55A minimum of 1 hour. So, the concept is still
00:12:58the same. We refer to a concept
00:13:02that refers to international standard
00:13:05international conference of labor, uh, what is
00:13:09it, statistician
00:13:12is organized by ILO. That concept
00:13:16is an international standard that
00:13:19has been adopted by BPS since the
00:13:22beginning of Sakernas.
00:13:25And the 1-hour concept is still
00:13:29used by ILO until now,
00:13:32and this also answers
00:13:35the question from Ms. Risa from
00:13:38Bloomberg. The second one is, if there
00:13:42was a worker who was laid
00:13:45off from a company and then switched to being
00:13:48informal or working fewer hours, is that
00:13:52person still counted as a working
00:13:55person? How does BPS view the changes in
00:13:58the condition and quality of that job?
00:14:02In labor data,
00:14:05workers who are laid off from a company
00:14:09and then switch to being informal or working fewer
00:14:12hours, as long as they meet the
00:14:15minimum limit of 1 hour
00:14:18of work per week, they are
00:14:21still counted as workers.
00:14:25Now, as a result of the layoff,
00:14:28the worker remains in the worker group,
00:14:32but experiences a change from originally working in a
00:14:35formal sector company, then
00:14:39switching to the informal sector, or previously
00:14:42being a full-time worker,
00:14:4635 hours or more, they
00:14:49could then change to being a part-time
00:14:53worker or underemployed.
00:14:55pengangguran,
00:14:58Then from Ms. Tasha
00:15:01from Tempo, household consumption is still
00:15:04the largest contributor, even though the
00:15:08consumer confidence index continued
00:15:12to weaken in Q3. How does BPS
00:15:15explain this? The consumer
00:15:19confidence index in Q3 2026
00:15:22was still at an optimistic
00:15:26level,
00:15:27which is 117.8.
00:15:31This optimism occurred both
00:15:34in the economic consumption index
00:15:37of 108.27
00:15:40currently, and in the consumer
00:15:43expectations
00:15:44index of 127.33,
00:15:48which is part of the consumer
00:15:50confidence index.
00:15:53These two things show
00:15:56that there is optimism that encourages household
00:15:59consumption. Structurally, households
00:16:03that have the largest share in GDP
00:16:07expenditure will give the largest SOG.
00:16:10So, the consumer confidence index in
00:16:13Q3 is still in the optimistic zone,
00:16:17so 117. Its components were
00:16:20economic conditions at 108.27 and consumer expectations
00:16:24at 127.33.
00:16:28The growth figure, second, the growth figure
00:16:31of 5.47% far exceeded projections from
00:16:35several institutions. Even a number of
00:16:38institutions predicted that the Q3 economy would slow
00:16:42down, while BPS data showed the economy
00:16:45growing faster than Q2. How does
00:16:49BPS explain this
00:16:52matter? So, BPS
00:16:55calculates economic growth based on
00:16:59statistical methodology that is already
00:17:02internationally standardized. We
00:17:05use a manual called the System of
00:17:09National Accounts 2008,
00:17:12and we also use a manual called
00:17:16Quarterly National Accounts by
00:17:19utilizing various actual data
00:17:22sources, both those conducted by
00:17:25BPS internally and recordings
00:17:29from external data administration outside
00:17:32BPS from various ministries
00:17:36and institutions. State-owned enterprises,
00:17:39we also utilize big data and other
00:17:43relevant data sources.
00:17:47projections made by a number
00:17:49of research
00:17:52institutions, we don't know exactly, but perhaps
00:17:55that research uses a modeling and
00:17:59estimation approach based on assumptions
00:18:03and available indicators. Therefore,
00:18:05it could be due to
00:18:09the difference in figures that we at BPS
00:18:12use data that we have already
00:18:15obtained in very large
00:18:19quantities for one quarter. In fact,
00:18:23the data used for calculating the type of
00:18:26data used for calculating GDP nationally
00:18:32types of data used, and we use
00:18:36a manual that
00:18:39applicable worldwide and used by
00:18:43NSOs worldwide, namely National
00:18:45Statistical Office.
00:18:48Then, a question from Ms. Anisha
00:18:51from Detik.com, this
00:18:53is also via Zoom.
00:18:57The first question: Indonesia's economic
00:19:00growth figure is quite good.
00:19:03On the other hand, the perception
00:19:06still arises that growth have not
00:19:09been felt equally by the public.
00:19:13How does BPS portray this phenomenon through statistical
00:19:16indicators? Is the economic growth
00:19:19that has occurred reflected in the increase in
00:19:23real purchasing power, real income, purchasing power,
00:19:26and public welfare, especially for low-income
00:19:29groups? So,
00:19:32presented in this release is
00:19:35macroeconomic
00:19:37economic growth. If we want to look
00:19:41in more detail at the micro-level,
00:19:44especially regarding purchasing power for certain
00:19:48groups, especially low-income groups,
00:19:51further study is needed. So, the GDP was
00:19:55macroeconomic, but if we want more
00:19:59detail on whether purchasing power and
00:20:02so on are felt by certain groups,
00:20:05we certainly need more in-depth study to be
00:20:09able to know for sure. But this
00:20:12time, we are indeed presenting macroeconomic
00:20:15growth data. The second question from Ms.
00:20:19Anisa: economic growth often goes hand in hand with
00:20:22rising prices of goods and services.
00:20:26In such conditions, the public can experience
00:20:30purchasing power pressure even though the economy
00:20:33grows in aggregate. How does BPS
00:20:36explain the relationship between GDP
00:20:39growth calculation and inflation
00:20:42measurement? To what extent do these
00:20:45indicators accurately describe the real conditions faced by
00:20:50households, especially low-income
00:20:53groups? Well, Ms. Nisa from
00:20:56Detik, economic growth and inflation are
00:20:59indeed two indicators that complement
00:21:02each other in
00:21:04describing economic conditions. GDP measures
00:21:08the growth of economic activity in
00:21:11real terms by removing price
00:21:14effects, while inflation measures price
00:21:19prices of goods and services consumed
00:21:22by the public. The economic growth
00:21:26created varies across sectors and
00:21:29from the expenditure side, also varies
00:21:32in terms of which one
00:21:35has a different
00:21:36impact.
00:21:40Inflation from the producer side, whose sector
00:21:44is largely
00:21:46from the middleman wholesaler or large
00:21:50trader, and on the
00:21:53the inflation felt by low-income groups,
00:21:56so we also need to
00:21:59not only use these two indicators,
00:22:02but also need
00:22:06to read it along with other
00:22:09indicators. In GDP calculation,
00:22:12we actually
00:22:14calculate inflation at the producer level. So,
00:22:18at the producer
00:22:20level, there is inflation and also
00:22:24inflation at the consumer level,
00:22:27which is usually
00:22:30released. Then, from
00:22:33Mr. Stefano earlier,
00:22:36on slide 14, of all expenditure
00:22:40items, the GDP expenditure component
00:22:43experienced a decrease in growth
00:22:46source, except for other items.
00:22:50What are those other items? In
00:22:53the previous SOG slide,
00:22:56the other expenditure component
00:22:59is the expenditure component of NPISH
00:23:02and change in inventories.
00:23:05These components still contributed positively
00:23:09to economic growth. So, if we break down
00:23:12the 5.47%,
00:23:16from household consumption it was
00:23:192.62%, as stated in the
00:23:23slide. Then, gross
00:23:26fixed capital formation was 1.91%,
00:23:29government consumption was 0.62%,
00:23:33exports were 1.16%,
00:23:36but there was an SOG of imports
00:23:39that reduced it by 1.44%.
00:23:42So, if exports minus imports, the
00:23:46net SOG from net exports was
00:23:50only minus 0.28%. The other
00:23:53items I mentioned were
00:23:55the SOG from nonprofit institution
00:23:59consumption, 0.06%,
00:24:02and the SOG from change
00:24:05in inventories,
00:24:060.47%.
00:24:10The second question is about
00:24:13forest and land fires becoming
00:24:17worse. Does BPS record the economic
00:24:20impact on economic growth
00:24:23from the production side, from the
00:24:26business sector? The impact of forest
00:24:30and land fires on economic growth
00:24:34can be directly observed through the
00:24:38growth of the forestry subsector.
00:24:41In Q3, this
00:24:44subsector contracted by 2.52%, a
00:24:48significant drop compared
00:24:50to Q2, which grew by 6%.
00:24:54So, in Q2 2026, it grew
00:24:57by about 6.02%. In Q3,
00:25:00its growth
00:25:02was negative (2.52%) for the forestry
00:25:06subsector, which is part of
00:25:09the agricultural sector. Forest and land
00:25:12fires also had an impact on
00:25:14the decline in
00:25:17some economic activities, especially in the
00:25:20affected provinces. The economic
00:25:23impact can be
00:25:25seen from
00:25:29the slowdown in those provinces, but
00:25:32nationally, the impact is not very
00:25:36visible. Some provinces
00:25:39that were affected, so to speak,
00:25:41if we look at their growth,
00:25:45it was somewhat stunted, especially
00:25:48in Kalimantan, like Central Kalimantan. Their
00:25:52growth was somewhat affected. There were
00:25:55some sectors there whose growth was
00:25:59very small compared to last year.
00:26:03That's probably the general
00:26:06impact of forest and land
00:26:08fires. Besides that,
00:26:11the impact of forest and
00:26:15land fires and other disasters was
00:26:18marked by the strengthening of NPISH
00:26:22growth. So, nonprofit institutions year-on-year
00:26:25in Q3 were mainly driven by
00:26:29the massive activities of social and
00:26:32humanitarian organizations in responding to
00:26:36various natural disasters such as the
00:26:40surge in forest and land fires,
00:26:43then there were also the Flores
00:26:46earthquake and Solok floods.
00:26:49So, NPISH
00:26:51grew by 5.02%
00:26:55year-on-year in Q3, higher
00:26:58than last year.
00:27:01Then from Ms. Barrisa from
00:27:04Bloomberg, TPT was informed to
00:27:08have dropped. How exactly is it calculated,
00:27:11for example, work in the
00:27:14gig economy or working only a
00:27:17few hours a week, is it
00:27:20counted as TPT? That was actually
00:27:24answered earlier about
00:27:26the calculation method.
00:27:30Then from Kris from
00:27:34Suara, regarding expenditure
00:27:37sources, even though the investment
00:27:41component's growth decreased from
00:27:456.87 to So, in Q3
00:27:47of this year, 2021 for example,
00:27:50PMTB experienced a slowdown, but its contribution
00:27:54was 30%. This means that although
00:27:57PMTB activity, the formation of fixed capital, experienced
00:28:00a decline. So the slowdown means it's not
00:28:04a contraction, it's a slowdown, but structurally
00:28:07PMTB still contributes more than 30%, which means
00:28:11we must distinguish between decline
00:28:14and slowdown, so if a decline is
00:28:17characterized by a negative value, negative growth or
00:28:21contraction, but if it's a slowdown, it still
00:28:24grows, but the magnitude of growth could be
00:28:28smaller compared to the previous period.
00:28:32Yes, that's from then
00:28:35from massurya from Bisnis Indonesia earlier,
00:28:38yes, the expenditure component of household expenditure contributed
00:28:4151.97%
00:28:4251,97%
00:28:45and experienced a decline compared to the previous
00:28:48quarter, can you explain the reason for the decline
00:28:52and when it was the lowest since?
00:28:55So the share of PKRT in GDP
00:28:58shows the share of consumption value which is.
00:29:02In effect, it was recorded that the lowest distribution value
00:29:06was 30 in Q3
00:29:09of 2022, which only reached
00:29:1250.62%.
00:29:16So if
00:29:18it experienced a decline in the previous quarter, it could be because
00:29:22PKRT has
00:29:25certain seasonal patterns, for example, in the second quarter
00:29:28yesterday, there were many holidays. School holidays,
00:29:31then religious celebrations
00:29:35and so on, that also encouraged
00:29:39consumption, so
00:29:42it decreased, the share is still quite high,
00:29:46then from Dofasyn Business, yes, earlier
00:29:50TPT decreased, is it because
00:29:52there is a government program like
00:29:56intern hub, paid intern hub
00:29:59including working. Yes, well,
00:30:03so conceptually, the intern hub program
00:30:06will contribute to the total
00:30:10working population, the intern hub program
00:30:13of the Ministry of Manpower absorbed around 46,000 workers
00:30:17in the first batch in August
00:30:202026, while TPT experienced
00:30:24a decrease compared to August 2025
00:30:28because there was still absorption of labor.
00:30:311.4 million people, so
00:30:34the increase in labor in other sectors was quite high,
00:30:37especially agriculture and construction,
00:30:40well, conceptually of course, the intern hub
00:30:43program will reduce unemployment, but how much
00:30:47it will reduce unemployment,
00:30:50of course, we look at the number of people
00:30:53participating in the intern hub, if it's more,
00:30:57then the impact will be greater.
Data courtesy of The GDELT Project (gdeltproject.org), from the Internet Archive TV News Archive. Film strip and transcript are GDELT's, rehosted here under their terms of use, which permit it with this citation.