METROTV — broadcast
20261105 050000 UTC
563 transcript segments
Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking
Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive.
Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record.

[00:00:00] Yes, uh, some questions that
[00:00:03] were conveyed online.
[00:00:07] The first question
[00:00:11] is government consumption
[00:00:14] reached
[00:00:16] 8.95%
[00:00:18] year-on-year in Q3 of 2026.
[00:00:21] What specific
[00:00:25] programs
[00:00:29] developments and the triggered high government spending this quarter? So,
[00:00:31] for Q3, if we look at
[00:00:34] the government consumption component, government spending
[00:00:38] is quite high,
[00:00:40] 8.95%,
[00:00:43] mainly driven by an increase
[00:00:45] in spending, salaries, and allowances for ASN,
[00:00:49] especially P3K.
[00:00:52] The number of P3K in Q3 2026
[00:00:56] increased significantly
[00:00:58] compared to Q3 2025.
[00:01:03] real consumer side, So, there was an additional
[00:01:05] P3K for this year, because as I recall,
[00:01:09] the addition was at the end of
[00:01:12] 2025, so now it has increased a lot.
[00:01:16] Then, the second is still the
[00:01:20] impact of the free nutritious
[00:01:23] meal program, which also experienced acceleration if we
[00:01:26] compare it with the same period
[00:01:30] in Q3 2025.
[00:01:32] 2025
[00:01:35] It might be necessary to inform all of you
[00:01:38] that the free meal program
[00:01:40] is
[00:01:43] disbursed in the form of goods to
[00:01:47] the community and is recorded as
[00:01:50] part of government consumption
[00:01:53] expenditure. So, MBG in the form of food
[00:01:56] delivered to the community is part of government
[00:02:00] expenditure and is recorded in the GDP from the expenditure
[00:02:04] side, so the acceleration of this program also
[00:02:07] contributes
[00:02:09] Meanwhile, significantly to the growth of government consumption
[00:02:13] in Q3 2026.
[00:02:16] Now, the
[00:02:20] second, the second question is quarterly,
[00:02:23] or Q-to-Q economic
[00:02:26] growth in Q3 2026 was only
[00:02:30] 1.59%.
[00:02:34] Is this an early sign of economic
[00:02:37] weakening in the second half of this year? So,
[00:02:41] if we look at the Q3 achievement
[00:02:44] on a Q-to-Q
[00:02:47] ICLS, which basis, it does show a slowdown in economic growth momentum, but
[00:02:49] it is not strong enough to conclude that there is
[00:02:54] is more than 3,000 an economic slowdown. From the Q-to-Q side, its growth
[00:02:58] is lower compared to Q2. Indeed, 2026
[00:03:02] is also indeed indicates that economic activity
[00:03:05] is no longer as strong as the previous quarter, but
[00:03:09] it still grew compared to Q2. This means
[00:03:12] that when Q2 grew more, and then
[00:03:16] Q3 still grew Q-to-Q, it means the economy
[00:03:19] continues to move better,
[00:03:22] more than the previous Q2. We also
[00:03:26] need to consider seasonal
[00:03:30] factors, because these seasonal patterns
[00:03:33] also, especially the high Q2 base effect
[00:03:36] due to several celebrations,
[00:03:40] in this quarter, even though like Eid al-Fitr and school holidays in Q2.
[00:03:43] libur sekolah di triwulan 2
[00:03:46] Meanwhile, year-on-year
[00:03:50] in Q3, it increased from 5.29 to
[00:03:55] the economic growth 5.47, even higher than
[00:03:58] Q3 last year, which was 5.04. This means that overall,
[00:04:02] annually,
[00:04:04] the economic capacity still shows
[00:04:08] expansion and has not shown any real
[00:04:11] weakness. Then,
[00:04:15] the question online,
[00:04:18] online,
[00:04:21] sorry, the processing industry
[00:04:24] is still the largest contributor and source of growth.
[00:04:28] 1.20% amidst
[00:04:32] the issue of deindustrialization,
[00:04:35] which subsector actually supports our manufacturing
[00:04:39] the most? The subsector that
[00:04:42] most supports the manufacturing industry is the
[00:04:45] food and beverage industry with a growth source
[00:04:49] of approximately 0.50%.
[00:04:52] This subsector has consistently continued
[00:04:56] to be a source of Indonesia's growth, a source of
[00:05:00] manufacturing growth in Indonesia. In addition,
[00:05:04] the next subsector is the chemical,
[00:05:07] pharmaceutical, and traditional medicine industry with a growth source
[00:05:10] of 0.16%, and also followed by
[00:05:14] the subsector or basic
[00:05:17] metal industry with a growth source
[00:05:20] of 0.14%. So, the breakdown
[00:05:23] earlier, the 1.2% growth source
[00:05:27] for the processing industry
[00:05:30] got 0.5 from the food
[00:05:33] and beverage industry, then 0.16
[00:05:37] from the chemical, pharmaceutical, and traditional
[00:05:40] medicine industries, and 0.14
[00:05:43] from the basic metal industry. So, overall,
[00:05:46] about 0.8 of
[00:05:49] the 1.20
[00:05:51] industry is contributed by these three
[00:05:54] subsectors. Then, ladies and gentlemen,
[00:05:58] semua
[00:06:01] regarding
[00:06:04] the open unemployment
[00:06:07] rate, TPT in August
[00:06:10] 2026 decreased to
[00:06:13] 4.75%
[00:06:15] compared to August last year. However,
[00:06:19] the public often questions why the unemployment rate in
[00:06:23] August is usually always higher compared to the
[00:06:27] February or May releases in the same
[00:06:30] year. How does BPS explain
[00:06:34] this phenomenon?
[00:06:37] Ladies and gentlemen, there is a seasonal influence,
[00:06:41] where in August, usually,
[00:06:44] there are many new job
[00:06:48] seekers from those who have just completed
[00:06:51] their education, as an additional
[00:06:54] supply to the workforce. So, usually, graduates
[00:06:56] of both secondary education and
[00:07:00] higher education usually graduate in the middle
[00:07:04] of the year, around June or July. So, when
[00:07:07] they graduate, they become a supply to
[00:07:11] our labor market. Therefore, in August,
[00:07:15] usually, the labor supply,
[00:07:18] the workforce supply, increases. This can
[00:07:21] cause an increase in TPT in
[00:07:24] August 2026 compared to February
[00:07:28] and May 2026.
[00:07:31] In addition, in February and May,
[00:07:34] there are planting and harvesting seasons, which cause
[00:07:38] an increase in the number of people working, especially
[00:07:41] in the agricultural sector, in February-May
[00:07:45] 2026 compared to August
[00:07:47] 2026. The
[00:07:51] second
[00:07:53] is the unemployment rate. TPT decreased
[00:07:56] to
[00:07:58] 4.75%.
[00:08:00] However, are the jobs created of good quality, or
[00:08:04] are we just creating informal
[00:08:08] workers? Indeed, TPT has decreased, but the percentage
[00:08:12] of informal workers has increased from
[00:08:16] 57.80% in August
[00:08:20] 2025 to
[00:08:24] 57.93% in August
[00:08:27] 2026. In addition, there was
[00:08:31] an increase in the underemployment rate, or those
[00:08:34] who work less than 35
[00:08:38] hours per week and are still looking
[00:08:41] for work, from 7.91%
[00:08:44] in August
[00:08:48] 2025 to 8.68% in
[00:08:51] August
[00:08:52] 2026.
[00:08:55] The next question online
[00:08:58] is related to the HDI issue. Our
[00:09:02] life expectancy increased to
[00:09:05] 74.68
[00:09:07] years. What health policies had the
[00:09:10] most direct impact on the increase
[00:09:14] in life expectancy for Indonesian citizens in
[00:09:17] 2026? So, the UHH in
[00:09:21] 2026 indeed became
[00:09:24] 74.68 years, mainly
[00:09:27] due to programs in the
[00:09:30] health sector,
[00:09:34] such as free health check-up programs,
[00:09:38] then consortium policies,
[00:09:42] the first 100-day
[00:09:45] consortium, then the construction
[00:09:48] of health facilities focused on early
[00:09:52] disease detection, stunting prevention, and more
[00:09:55] equitable basic health services.
[00:09:57] The better the access to health care and
[00:10:01] the quality of health services, the risk of
[00:10:05] premature death, infant and under-five mortality
[00:10:08] decreases. So, indeed, the most important factor
[00:10:11] when we want to increase life expectancy
[00:10:15] is how we
[00:10:18] handle or reduce
[00:10:21] infant and under-five mortality rates. So, health
[00:10:25] programs related to
[00:10:28] handling infant and under-five mortality
[00:10:31] will certainly have a big impact on
[00:10:34] life expectancy. Then, ladies and gentlemen,
[00:10:37] semua,
[00:10:40] there is a question from Mr.
[00:10:44] Adin from Berita 1 via
[00:10:46] Zoom,
[00:10:49] to clarify how the method
[00:10:52] for calculating the working population works.
[00:10:55] Is
[00:10:57] someone who works at least 1 hour a week
[00:11:01] already categorized as a working
[00:11:03] person? That's the first one. Then,
[00:11:07] the second question:
[00:11:10] if there is a worker who is laid
[00:11:13] off,
[00:11:16] wait
[00:11:21] it disappeared from the screen, wait a moment.
[00:11:26] Sorry, sorry.
[00:11:37] If there is a worker who is laid
[00:11:39] off
[00:11:42] from a company and then switches to being an
[00:11:45] informal worker or works fewer hours,
[00:11:48] is that person still
[00:11:51] counted as a working person?
[00:11:55] How does BPS view the changes in the condition
[00:11:59] and quality
[00:12:00] of that
[00:12:08] job? So, it's true, the first one was about
[00:12:11] the concept of the working population.
[00:12:15] Someone who performs work
[00:12:19] to earn or help earn
[00:12:22] income.
[00:12:25] A minimum of 1 hour a week is categorized
[00:12:29] as a working person. You also mentioned
[00:12:32] it, so if someone works at
[00:12:35] least 1 hour a week, this concept also applies
[00:12:39] internationally. The basic concept
[00:12:42] from ILO is 1 hour a week of
[00:12:46] work, then they fall into the category of
[00:12:49] working people to earn or
[00:12:52] help earn income.
[00:12:55] A minimum of 1 hour. So, the concept is still
[00:12:58] the same. We refer to a concept
[00:13:02] that refers to international standard
[00:13:05] international conference of labor, uh, what is
[00:13:09] it, statistician
[00:13:12] is organized by ILO. That concept
[00:13:16] is an international standard that
[00:13:19] has been adopted by BPS since the
[00:13:22] beginning of Sakernas.
[00:13:25] And the 1-hour concept is still
[00:13:29] used by ILO until now,
[00:13:32] and this also answers
[00:13:35] the question from Ms. Risa from
[00:13:38] Bloomberg. The second one is, if there
[00:13:42] was a worker who was laid
[00:13:45] off from a company and then switched to being
[00:13:48] informal or working fewer hours, is that
[00:13:52] person still counted as a working
[00:13:55] person? How does BPS view the changes in
[00:13:58] the condition and quality of that job?
[00:14:02] In labor data,
[00:14:05] workers who are laid off from a company
[00:14:09] and then switch to being informal or working fewer
[00:14:12] hours, as long as they meet the
[00:14:15] minimum limit of 1 hour
[00:14:18] of work per week, they are
[00:14:21] still counted as workers.
[00:14:25] Now, as a result of the layoff,
[00:14:28] the worker remains in the worker group,
[00:14:32] but experiences a change from originally working in a
[00:14:35] formal sector company, then
[00:14:39] switching to the informal sector, or previously
[00:14:42] being a full-time worker,
[00:14:46] 35 hours or more, they
[00:14:49] could then change to being a part-time
[00:14:53] worker or underemployed.
[00:14:55] pengangguran,
[00:14:58] Then from Ms. Tasha
[00:15:01] from Tempo, household consumption is still
[00:15:04] the largest contributor, even though the
[00:15:08] consumer confidence index continued
[00:15:12] to weaken in Q3. How does BPS
[00:15:15] explain this? The consumer
[00:15:19] confidence index in Q3 2026
[00:15:22] was still at an optimistic
[00:15:26] level,
[00:15:27] which is 117.8.
[00:15:31] This optimism occurred both
[00:15:34] in the economic consumption index
[00:15:37] of 108.27
[00:15:40] currently, and in the consumer
[00:15:43] expectations
[00:15:44] index of 127.33,
[00:15:48] which is part of the consumer
[00:15:50] confidence index.
[00:15:53] These two things show
[00:15:56] that there is optimism that encourages household
[00:15:59] consumption. Structurally, households
[00:16:03] that have the largest share in GDP
[00:16:07] expenditure will give the largest SOG.
[00:16:10] So, the consumer confidence index in
[00:16:13] Q3 is still in the optimistic zone,
[00:16:17] so 117. Its components were
[00:16:20] economic conditions at 108.27 and consumer expectations
[00:16:24] at 127.33.
[00:16:28] The growth figure, second, the growth figure
[00:16:31] of 5.47% far exceeded projections from
[00:16:35] several institutions. Even a number of
[00:16:38] institutions predicted that the Q3 economy would slow
[00:16:42] down, while BPS data showed the economy
[00:16:45] growing faster than Q2. How does
[00:16:49] BPS explain this
[00:16:52] matter? So, BPS
[00:16:55] calculates economic growth based on
[00:16:59] statistical methodology that is already
[00:17:02] internationally standardized. We
[00:17:05] use a manual called the System of
[00:17:09] National Accounts 2008,
[00:17:12] and we also use a manual called
[00:17:16] Quarterly National Accounts by
[00:17:19] utilizing various actual data
[00:17:22] sources, both those conducted by
[00:17:25] BPS internally and recordings
[00:17:29] from external data administration outside
[00:17:32] BPS from various ministries
[00:17:36] and institutions. State-owned enterprises,
[00:17:39] we also utilize big data and other
[00:17:43] relevant data sources.
[00:17:47] projections made by a number
[00:17:49] of research
[00:17:52] institutions, we don't know exactly, but perhaps
[00:17:55] that research uses a modeling and
[00:17:59] estimation approach based on assumptions
[00:18:03] and available indicators. Therefore,
[00:18:05] it could be due to
[00:18:09] the difference in figures that we at BPS
[00:18:12] use data that we have already
[00:18:15] obtained in very large
[00:18:19] quantities for one quarter. In fact,
[00:18:23] the data used for calculating the type of
[00:18:26] data used for calculating GDP nationally
[00:18:32] types of data used, and we use
[00:18:36] a manual that
[00:18:39] applicable worldwide and used by
[00:18:43] NSOs worldwide, namely National
[00:18:45] Statistical Office.
[00:18:48] Then, a question from Ms. Anisha
[00:18:51] from Detik.com, this
[00:18:53] is also via Zoom.
[00:18:57] The first question: Indonesia's economic
[00:19:00] growth figure is quite good.
[00:19:03] On the other hand, the perception
[00:19:06] still arises that growth have not
[00:19:09] been felt equally by the public.
[00:19:13] How does BPS portray this phenomenon through statistical
[00:19:16] indicators? Is the economic growth
[00:19:19] that has occurred reflected in the increase in
[00:19:23] real purchasing power, real income, purchasing power,
[00:19:26] and public welfare, especially for low-income
[00:19:29] groups? So,
[00:19:32] presented in this release is
[00:19:35] macroeconomic
[00:19:37] economic growth. If we want to look
[00:19:41] in more detail at the micro-level,
[00:19:44] especially regarding purchasing power for certain
[00:19:48] groups, especially low-income groups,
[00:19:51] further study is needed. So, the GDP was
[00:19:55] macroeconomic, but if we want more
[00:19:59] detail on whether purchasing power and
[00:20:02] so on are felt by certain groups,
[00:20:05] we certainly need more in-depth study to be
[00:20:09] able to know for sure. But this
[00:20:12] time, we are indeed presenting macroeconomic
[00:20:15] growth data. The second question from Ms.
[00:20:19] Anisa: economic growth often goes hand in hand with
[00:20:22] rising prices of goods and services.
[00:20:26] In such conditions, the public can experience
[00:20:30] purchasing power pressure even though the economy
[00:20:33] grows in aggregate. How does BPS
[00:20:36] explain the relationship between GDP
[00:20:39] growth calculation and inflation
[00:20:42] measurement? To what extent do these
[00:20:45] indicators accurately describe the real conditions faced by
[00:20:50] households, especially low-income
[00:20:53] groups? Well, Ms. Nisa from
[00:20:56] Detik, economic growth and inflation are
[00:20:59] indeed two indicators that complement
[00:21:02] each other in
[00:21:04] describing economic conditions. GDP measures
[00:21:08] the growth of economic activity in
[00:21:11] real terms by removing price
[00:21:14] effects, while inflation measures price
[00:21:19] prices of goods and services consumed
[00:21:22] by the public. The economic growth
[00:21:26] created varies across sectors and
[00:21:29] from the expenditure side, also varies
[00:21:32] in terms of which one
[00:21:35] has a different
[00:21:36] impact.
[00:21:40] Inflation from the producer side, whose sector
[00:21:44] is largely
[00:21:46] from the middleman wholesaler or large
[00:21:50] trader, and on the
[00:21:53] the inflation felt by low-income groups,
[00:21:56] so we also need to
[00:21:59] not only use these two indicators,
[00:22:02] but also need
[00:22:06] to read it along with other
[00:22:09] indicators. In GDP calculation,
[00:22:12] we actually
[00:22:14] calculate inflation at the producer level. So,
[00:22:18] at the producer
[00:22:20] level, there is inflation and also
[00:22:24] inflation at the consumer level,
[00:22:27] which is usually
[00:22:30] released. Then, from
[00:22:33] Mr. Stefano earlier,
[00:22:36] on slide 14, of all expenditure
[00:22:40] items, the GDP expenditure component
[00:22:43] experienced a decrease in growth
[00:22:46] source, except for other items.
[00:22:50] What are those other items? In
[00:22:53] the previous SOG slide,
[00:22:56] the other expenditure component
[00:22:59] is the expenditure component of NPISH
[00:23:02] and change in inventories.
[00:23:05] These components still contributed positively
[00:23:09] to economic growth. So, if we break down
[00:23:12] the 5.47%,
[00:23:16] from household consumption it was
[00:23:19] 2.62%, as stated in the
[00:23:23] slide. Then, gross
[00:23:26] fixed capital formation was 1.91%,
[00:23:29] government consumption was 0.62%,
[00:23:33] exports were 1.16%,
[00:23:36] but there was an SOG of imports
[00:23:39] that reduced it by 1.44%.
[00:23:42] So, if exports minus imports, the
[00:23:46] net SOG from net exports was
[00:23:50] only minus 0.28%. The other
[00:23:53] items I mentioned were
[00:23:55] the SOG from nonprofit institution
[00:23:59] consumption, 0.06%,
[00:24:02] and the SOG from change
[00:24:05] in inventories,
[00:24:06] 0.47%.
[00:24:10] The second question is about
[00:24:13] forest and land fires becoming
[00:24:17] worse. Does BPS record the economic
[00:24:20] impact on economic growth
[00:24:23] from the production side, from the
[00:24:26] business sector? The impact of forest
[00:24:30] and land fires on economic growth
[00:24:34] can be directly observed through the
[00:24:38] growth of the forestry subsector.
[00:24:41] In Q3, this
[00:24:44] subsector contracted by 2.52%, a
[00:24:48] significant drop compared
[00:24:50] to Q2, which grew by 6%.
[00:24:54] So, in Q2 2026, it grew
[00:24:57] by about 6.02%. In Q3,
[00:25:00] its growth
[00:25:02] was negative (2.52%) for the forestry
[00:25:06] subsector, which is part of
[00:25:09] the agricultural sector. Forest and land
[00:25:12] fires also had an impact on
[00:25:14] the decline in
[00:25:17] some economic activities, especially in the
[00:25:20] affected provinces. The economic
[00:25:23] impact can be
[00:25:25] seen from
[00:25:29] the slowdown in those provinces, but
[00:25:32] nationally, the impact is not very
[00:25:36] visible. Some provinces
[00:25:39] that were affected, so to speak,
[00:25:41] if we look at their growth,
[00:25:45] it was somewhat stunted, especially
[00:25:48] in Kalimantan, like Central Kalimantan. Their
[00:25:52] growth was somewhat affected. There were
[00:25:55] some sectors there whose growth was
[00:25:59] very small compared to last year.
[00:26:03] That's probably the general
[00:26:06] impact of forest and land
[00:26:08] fires. Besides that,
[00:26:11] the impact of forest and
[00:26:15] land fires and other disasters was
[00:26:18] marked by the strengthening of NPISH
[00:26:22] growth. So, nonprofit institutions year-on-year
[00:26:25] in Q3 were mainly driven by
[00:26:29] the massive activities of social and
[00:26:32] humanitarian organizations in responding to
[00:26:36] various natural disasters such as the
[00:26:40] surge in forest and land fires,
[00:26:43] then there were also the Flores
[00:26:46] earthquake and Solok floods.
[00:26:49] So, NPISH
[00:26:51] grew by 5.02%
[00:26:55] year-on-year in Q3, higher
[00:26:58] than last year.
[00:27:01] Then from Ms. Barrisa from
[00:27:04] Bloomberg, TPT was informed to
[00:27:08] have dropped. How exactly is it calculated,
[00:27:11] for example, work in the
[00:27:14] gig economy or working only a
[00:27:17] few hours a week, is it
[00:27:20] counted as TPT? That was actually
[00:27:24] answered earlier about
[00:27:26] the calculation method.
[00:27:30] Then from Kris from
[00:27:34] Suara, regarding expenditure
[00:27:37] sources, even though the investment
[00:27:41] component's growth decreased from
[00:27:45] 6.87 to So, in Q3
[00:27:47] of this year, 2021 for example,
[00:27:50] PMTB experienced a slowdown, but its contribution
[00:27:54] was 30%. This means that although
[00:27:57] PMTB activity, the formation of fixed capital, experienced
[00:28:00] a decline. So the slowdown means it's not
[00:28:04] a contraction, it's a slowdown, but structurally
[00:28:07] PMTB still contributes more than 30%, which means
[00:28:11] we must distinguish between decline
[00:28:14] and slowdown, so if a decline is
[00:28:17] characterized by a negative value, negative growth or
[00:28:21] contraction, but if it's a slowdown, it still
[00:28:24] grows, but the magnitude of growth could be
[00:28:28] smaller compared to the previous period.
[00:28:32] Yes, that's from then
[00:28:35] from massurya from Bisnis Indonesia earlier,
[00:28:38] yes, the expenditure component of household expenditure contributed
[00:28:41] 51.97%
[00:28:42] 51,97%
[00:28:45] and experienced a decline compared to the previous
[00:28:48] quarter, can you explain the reason for the decline
[00:28:52] and when it was the lowest since?
[00:28:55] So the share of PKRT in GDP
[00:28:58] shows the share of consumption value which is.
[00:29:02] In effect, it was recorded that the lowest distribution value
[00:29:06] was 30 in Q3
[00:29:09] of 2022, which only reached
[00:29:12] 50.62%.
[00:29:16] So if
[00:29:18] it experienced a decline in the previous quarter, it could be because
[00:29:22] PKRT has
[00:29:25] certain seasonal patterns, for example, in the second quarter
[00:29:28] yesterday, there were many holidays. School holidays,
[00:29:31] then religious celebrations
[00:29:35] and so on, that also encouraged
[00:29:39] consumption, so
[00:29:42] it decreased, the share is still quite high,
[00:29:46] then from Dofasyn Business, yes, earlier
[00:29:50] TPT decreased, is it because
[00:29:52] there is a government program like
[00:29:56] intern hub, paid intern hub
[00:29:59] including working. Yes, well,
[00:30:03] so conceptually, the intern hub program
[00:30:06] will contribute to the total
[00:30:10] working population, the intern hub program
[00:30:13] of the Ministry of Manpower absorbed around 46,000 workers
[00:30:17] in the first batch in August
[00:30:20] 2026, while TPT experienced
[00:30:24] a decrease compared to August 2025
[00:30:28] because there was still absorption of labor.
[00:30:31] 1.4 million people, so
[00:30:34] the increase in labor in other sectors was quite high,
[00:30:37] especially agriculture and construction,
[00:30:40] well, conceptually of course, the intern hub
[00:30:43] program will reduce unemployment, but how much
[00:30:47] it will reduce unemployment,
[00:30:50] of course, we look at the number of people
[00:30:53] participating in the intern hub, if it's more,
[00:30:57] then the impact will be greater.