METROTV — broadcast
20261105 043000 UTC
473 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] Samples in large-scale So, and medium-scale for the third
[00:00:02] processing industries, quarter, if we look at the government consumption component, government consumption expenditure is quite high at 8.95%. This is mainly driven by an increase in salary and allowance spending for ISN, especially P3K. The number of P3K in the third quarter of 2026 increased significantly compared to the previous year. Okay. Let me continue with the second question about the forest and land fires and smoke. Does BPS record any impact on economic growth? We have not specifically calculated the impact of the forest and land fires on economic growth. However, the impact is generally through a decline in agricultural production and other sectors that are affected by the smoke. We will monitor this closely in the next quarter. Thank you. Let me answer the question about the open unemployment rate calculation. The open unemployment rate includes people who are not working and are actively looking for work. It also includes people who are working less than 35 hours a week and are still looking for additional work. So, it's not just those who are completely unemployed. For the question about the informal sector being larger than the formal sector, BPS does not consider this to be dangerous for the Indonesian economy. In fact, the informal sector plays a very important role in providing employment and contributing to economic growth. However, we do encourage the government to create more formal sector jobs to improve the quality of employment. Finally, regarding the phenomenon of people complaining about difficult lives, hard to find jobs, and high prices, even though the economy is growing, BPS acknowledges that there may be a disparity between macroeconomic indicators and the reality faced by some segments of the population. We continue to provide accurate and timely data to help the government formulate appropriate policies to address these issues. Thank you. sample selection
[00:00:06] in industrial areas in KI
[00:00:10] based on the results from large
[00:00:13] and medium industry surveys (IPS) on a quarterly
[00:00:17] basis, with sample coverage in large-scale
[00:00:19] and medium-scale processing industries.
[00:00:23] Sample selection in industrial areas
[00:00:26] in KI and also
[00:00:29] in special economic zones
[00:00:32] real per capita expenditure and which is carried out as a "take all"
[00:00:36] for industrial areas
[00:00:39] expenditure of the and special economic zones,
[00:00:41] while sample selection in non-areas
[00:00:45] uses probabilistic
[00:00:47] sampling. Then also,
[00:00:50] IKBM is only estimated at
[00:00:53] the national level.
[00:00:57] In the third quarter of 2026,
[00:01:03] IKBM was recorded at
[00:01:05] 52.75,
[00:01:10] which indicates that the manufacturing
[00:01:13] industry sector
[00:01:16] is in an expansion phase and
[00:01:20] strengthened compared to the previous
[00:01:23] quarter.
[00:01:25] In terms of components, production
[00:01:28] components, inventory
[00:01:32] and labor experienced expansion,
[00:01:35] meaning the condition was better compared to the second
[00:01:39] quarter. In the third quarter just now, production
[00:01:42] components, orders, inventory and labor
[00:01:46] were better compared to the second
[00:01:49] quarter, while the delivery
[00:01:51] time component
[00:01:55] experienced a contraction in the third quarter of 2026, meaning the condition
[00:01:58] in the third quarter of 2026
[00:02:01] was not better compared to the second quarter
[00:02:05] of 2006 for the delivery
[00:02:08] time component.
[00:02:12] Then, ladies and gentlemen, in the third
[00:02:15] part I will present the state of the Indonesian
[00:02:18] workforce in August
[00:02:21] 2026.
[00:02:23] 2026.
[00:02:26] First, I will present the labor force structure.
[00:02:30] Indonesia as of August
[00:02:33] 2026 there were as many
[00:02:37] as 200,20.91
[00:02:42] million working-age people in
[00:02:44] Indonesia. This number
[00:02:47] increased by 2.74 million
[00:02:51] people compared
[00:02:52] 38.61% to August
[00:02:54] 2025.
[00:02:57] The working-age population includes a labor
[00:03:01] force of
[00:03:04] 155.37
[00:03:07] million people or an increase of approximately
[00:03:10] 1.30
[00:03:12] of the education million people compared to August
[00:03:16] 2025. Then, the non-labor
[00:03:19] force was 65.54
[00:03:23] million people or an increase of approximately
[00:03:26] 1.38 million people
[00:03:30] compared to August 2025.
[00:03:32] 2025.
[00:03:35] Then, from that labor force,
[00:03:38] of the education capita expenditure per 147.99 million people
[00:03:42] among them were employed.
[00:03:46] The number of employed people increased by
[00:03:49] 1.44
[00:03:52] million people compared to August
[00:03:55] 2025.
[00:03:58] If detailed further, the employed population
[00:04:01] consists of full-time workers as many
[00:04:05] as 99.85 million people or
[00:04:09] an increase of 1.2 million
[00:04:12] people, part-time workers
[00:04:15] as many as 35.30 million people or
[00:04:19] a decrease of 1
[00:04:22] million people, underemployed
[00:04:26] workers as many as 12.84
[00:04:30] million people or
[00:04:32] in public health an increase of 1.24
[00:04:35] million people. On the other hand, the labor force
[00:04:39] not absorbed into the labor market
[00:04:42] became unemployed, which was
[00:04:45] 7.38 million people
[00:04:49] or a decrease of approximately
[00:04:52] 77,000 people compared to
[00:04:55] August
[00:04:57] 2025.
[00:05:00] Furthermore, the labor force participation rate
[00:05:03] (TPAK) was recorded as decreasing.
[00:05:05] TPAK
[00:05:08] real per capita expenditure in August 2026 was
[00:05:10] 70.33,
[00:05:13] or lower compared to August
[00:05:16] 2025, which reached
[00:05:20] 70.59%.
[00:05:24] If differentiated by gender, male TPAK was
[00:05:28] higher than female TPAK, where male TPAK
[00:05:31] reached
[00:05:33] 84.16%,
[00:05:35] while female TPAK reached
[00:05:37] 56.37%.
[00:05:41] Nevertheless, male TPAK
[00:05:44] and female TPAK were recorded as decreasing compared
[00:05:48] to August 2025.
[00:05:51] 2025.
[00:05:54] Next, I will present the development of the open
[00:05:57] unemployment rate
[00:05:59] or TPT. In August
[00:06:02] 2026, there were as many
[00:06:06] as 7.38 million unemployed people or
[00:06:09] equivalent to an open unemployment rate of
[00:06:13] 4.75%.
[00:06:18] This figure is lower compared to August
[00:06:21] 2025. If broken down by
[00:06:25] gender, the decrease in TPT in August
[00:06:28] 2026 compared to August 2025
[00:06:32] occurred among male residents, while
[00:06:36] the open unemployment rate for women
[00:06:39] actually increased.
[00:06:42] Meanwhile, if broken down by region,
[00:06:46] the decrease in the open unemployment rate occurred in urban
[00:06:50] and rural
[00:06:51] areas.
[00:06:55] Next, ladies and gentlemen, I will present
[00:06:59] labor absorption by business sector.
[00:07:02] As per
[00:07:05] Sakernas February and May
[00:07:07] 2026, in the August
[00:07:10] 2026 Sakernas. The standard classification
[00:07:13] of Indonesian business fields
[00:07:17] (KBLI) for 2025 has also
[00:07:21] been implemented, while the August
[00:07:24] Sakernas for August
[00:07:27] 2025 still used the 2020
[00:07:31] KBLI.
[00:07:33] In August 2026, the three business
[00:07:37] sectors with the most labor absorption
[00:07:40] were agriculture, large and retail trade,
[00:07:44] and
[00:07:44] industry.
[00:07:48] Then, if we look at the working population by
[00:07:52] employment status, in August 2026,
[00:07:56] out of 147.99
[00:07:59] million people employed,
[00:08:05] were laborers, employees,
[00:08:07] or civil servants.
[00:08:11] Compared to last August
[00:08:14] 2025, the number of employed
[00:08:17] people with the status of laborers, employees,
[00:08:21] and civil servants
[00:08:24] increased by 0.36 million people, while the number of employed
[00:08:28] people with the status of self-employed experienced
[00:08:31] the largest increase, which was
[00:08:34] approximately 0.503 million people.
[00:08:37] Meanwhile, in line with the increase in employed
[00:08:41] people as laborers, employees, and civil
[00:08:45] servants, the number of formal workers as of August
[00:08:48] 2026 increased to approximately
[00:08:51] 62.25 million
[00:08:54] people.
[00:08:58] In this section, I will present the working population by
[00:09:02] education level. In August
[00:09:05] 2026,
[00:09:07] 13.37%
[00:09:09] of the working population had
[00:09:13] higher education, namely diploma or above,
[00:09:17] while 33.89%
[00:09:20] of the working population had
[00:09:23] elementary school education or below, so workers with
[00:09:26] low education still dominate the working
[00:09:29] population in Compared to last August,
[00:09:33] the percentage of workers with
[00:09:36] elementary school education or below continued to decrease,
[00:09:39] while workers with diploma education or above continued
[00:09:55] the working population by working hour category in August
[00:09:59] 2026. The percentage of workers
[00:10:02] working full-time or more than
[00:10:05] 35 hours per week
[00:10:08] was 67.47%,
[00:10:12] or approximately 99.85
[00:10:15] million people. This proportion of full-time
[00:10:19] workers increased by approximately
[00:10:21] 0.15 percentage points
[00:10:25] from 67.32% in August
[00:10:29] 2025.
[00:10:31] Thus, the proportion of workers with non-full
[00:10:35] working hours, namely 1 to 34
[00:10:38] hours a week, was
[00:10:40] 32.53%, or approximately
[00:10:44] 48.14 million
[00:10:47] people.
[00:10:50] Among non-full-time workers, the underemployment
[00:10:53] rate, namely people who work less than
[00:10:57] 35 hours a week and
[00:11:00] are still looking for work,
[00:11:03] increased to 8.68%
[00:11:06] from the previous
[00:11:10] 7.91% in August
[00:11:14] 2025.
[00:11:17] In summary, the labor force conditions in
[00:11:20] August 2026 are as follows:
[00:11:23] First, out of the entire working-age
[00:11:27] population, i.e., 15 years and above, approximately 70
[00:11:30] out of 100 people are in the labor force or
[00:11:34] active in the labor market. The open
[00:11:37] unemployment rate (TPT) in August
[00:11:40] 2026 was
[00:11:43] 4.75%, or approximately 5 out of 100 labor
[00:11:46] force members are
[00:11:49] The proportion of formal workers slightly decreased
[00:11:52] to 42.07%. And the full-time
[00:11:56] working population
[00:11:59] increased to
[00:12:00] 67.47%.
[00:12:04] In August 2026, the three business sectors
[00:12:07] with the most labor absorption were agriculture,
[00:12:11] large and retail trade,
[00:12:13] and industry.
[00:12:16] Finally, I will present Indonesia's
[00:12:19] Human Development Index (HDI) for
[00:12:21] 2026.
[00:12:25] In 2026, Indonesia's Human Development
[00:12:29] Index or HDI reached
[00:12:31] 76.69,
[00:12:34] which is in the high category. This figure
[00:12:38] increased by 0.69 points from
[00:12:41] 2025, which was
[00:12:43] 75.90.
[00:12:46] Since 2020, Indonesia's HDI has
[00:12:50] been consistently increasing.
[00:12:54] If broken down by its constituent
[00:12:57] components, the achievements for 2026 are
[00:13:00] as follows. Life expectancy at birth
[00:13:04] in Indonesia reached
[00:13:06] 74.68
[00:13:08] years, meaning that in
[00:13:11] 2026, the average age of newborns
[00:13:14] is estimated to be 74.68
[00:13:17] 74,68
[00:13:19] years. The average length
[00:13:23] of schooling is 9.16 years,
[00:13:26] meaning that the population aged
[00:13:30] 25 and above in Indonesia has an average
[00:13:33] length of schooling of 9.6 years
[00:13:35] or equivalent to 3rd grade junior high
[00:13:39] school. The expected length of schooling
[00:13:43] is 13.34 years, meaning that the Indonesian
[00:13:46] population aged
[00:13:48] 7 years is estimated to pursue
[00:13:52] education for 13.34 years or equivalent
[00:13:55] to the second year of college.
[00:13:59] Then, from the perspective of real per
[00:14:03] year adjusted to
[00:14:06] 13,368,000,
[00:14:10] meaning that the average real expenditure of the Indonesian
[00:14:13] population in 2026 reached 13.30
[00:14:17] million per year per
[00:14:19] person.
[00:14:22] Next, I will present the development of each
[00:14:26] HDI component.
[00:14:27] First,
[00:14:30] life expectancy at birth or
[00:14:34] UHH shows a continuous upward trend,
[00:14:38] reaching 74.68 years in
[00:14:41] 2026. This figure increased
[00:14:45] by 0.21 years compared to UHH in
[00:14:49] 2025. The increase in UHH
[00:14:52] at birth indicates an improvement
[00:14:57] due to awareness of giving birth in health
[00:15:00] facilities, awareness of the importance of
[00:15:04] using proper drinking water, and increased public health
[00:15:08] access.
[00:15:11] Second, the education component, which
[00:15:14] includes expected years of schooling
[00:15:18] (HLS) and average years of schooling
[00:15:21] (RLS). In 2026, HLS
[00:15:24] reached 13.34 years, equivalent to the
[00:15:28] second year of college. This figure increased
[00:15:31] by 0.04 years compared to 2025.
[00:15:34] For average years of schooling,
[00:15:37] it reached 9.16 years, or equivalent to
[00:15:40] 3rd grade junior high school,
[00:15:43] 9th grade, sorry. RLS
[00:15:47] 2026 increased by 0.09 years
[00:15:51] compared to 2025.
[00:15:53] The increase in HLS and RLS indicates
[00:15:57] an improvement in education facilities and
[00:16:00] access, as well as increased public awareness
[00:16:04] of education.
[00:16:06] Finally,
[00:16:09] per year adjusted in 2026, real
[00:16:13] per capita
[00:16:16] Indonesian population adjusted using
[00:16:20] PPP, purchasing power parity, reached
[00:16:24] 13.37 million per year. This
[00:16:27] figure increased by 566,000
[00:16:30] compared to
[00:16:32] 2025.
[00:16:36] Next, we will present
[00:16:39] HDI achievements spatially.
[00:16:42] In 2026, the province
[00:16:45] with the highest HDI
[00:16:48] is Papua Mountains with
[00:16:51] an HDI value of 55.25,
[00:16:55] while the province with the highest HDI
[00:16:58] is DKI Jakarta at
[00:17:00] 85.88%.
[00:17:05] If viewed by category,
[00:17:09] five provinces are in the very
[00:17:12] high HDI category, then 30
[00:17:16] provinces are in the high category,
[00:17:19] two provinces are in the medium category, and
[00:17:23] one province, namely Papua Mountains,
[00:17:27] is in the low
[00:17:31] Next is the growth of HDI by
[00:17:33] province. The graph shows
[00:17:38] that in 2026, the highest HDI was achieved
[00:17:41] by DKI Province, as I mentioned earlier,
[00:17:45] while the lowest HDI was achieved
[00:17:48] by Papua Mountains
[00:17:50] Province at 55.25.
[00:17:53] The HDI of DKI Jakarta itself
[00:17:55] was 88.
[00:17:57] 85.88.
[00:18:01] For increases, the highest increase was achieved
[00:18:05] by the Special Region of Yogyakarta.
[00:18:08] Jakarta increased by 0.95 points, while
[00:18:12] the lowest increase in the last year was achieved
[00:18:16] by Central Papua province, which increased
[00:18:32] the three provinces with the highest
[00:18:35] HDI increases.
[00:18:39] The HDI of the Special Region
[00:18:42] of Yogyakarta increased by 0.95
[00:18:44] points. This is reflected in the strengthening
[00:18:49] dimension, which is supported by various scholarship
[00:18:53] programs such as Sleman
[00:18:56] Pintar, one poor family, one
[00:19:00] graduate, regional education guarantees, and Gunung
[00:19:03] Kidul Cerdas.
[00:19:06] The HDI of Southeast Sulawesi
[00:19:09] increased by 0.94 points. This
[00:19:12] is reflected in the strengthening
[00:19:16] dimension, supported by an increased
[00:19:18] scholarship budget of 10 billion,
[00:19:22] the Sultra Cerdas program,
[00:19:25] prevention of school dropouts,
[00:19:27] and school revitalization with an allocation
[00:19:31] of 500 billion.
[00:19:35] The HDI of Central Sulawesi increased
[00:19:38] by 0.87 points. This is
[00:19:42] reflected in the strengthening of the education
[00:19:46] and health dimensions, in line with the revitalization
[00:19:49] of 54 education units, the Mosikola
[00:19:53] program, the Berani Cerdas scholarship, and the Berani
[00:19:57] Sehat program.
[00:19:59] In summary, ladies and gentlemen, from
[00:20:03] the 2026 HDI data, we report
[00:20:06] the following: First, Indonesia's HDI in 2026 reached
[00:20:10] 76.59
[00:20:13] and is categorized as high. Compared
[00:20:17] to 2025, the HDI in 2026 increased
[00:20:20] by 0.69 points. The increase
[00:20:24] in HDI in 2026
[00:20:27] was driven by the life expectancy indicator,
[00:20:31] which increased by 0.21 years;
[00:20:34] expected years of schooling increased by 0.04
[00:20:37] years; average years of schooling
[00:20:41] increased by 0.09 years; and
[00:20:45] per year adjusted increased by
[00:20:47] 566,000.
[00:20:51] Yes, the province with the highest
[00:20:55] HDI is DKI Jakarta.
[00:20:57] Conversely, the lowest is Papua
[00:21:00] Mountains Province. Meanwhile, the highest HDI
[00:21:03] increase was achieved by the Special
[00:21:07] Region of Yogyakarta at 0.95
[00:21:11] points. Conversely, the lowest increase was
[00:21:14] recorded in Central Papua province
[00:21:18] at 0.31 points.
[00:21:20] The status of human development
[00:21:23] in Bali and East
[00:21:27] Kalimantan provinces increased from high to very
[00:21:30] high, while East Nusa Tenggara
[00:21:34] and Papua, South Papua, increased
[00:21:37] from medium
[00:21:39] to high.
[00:21:42] That concludes, ladies and gentlemen, the official
[00:21:46] statistical news release for November
[00:24:22] From Writers, there are two questions,
[00:24:26] sir. The first one is on
[00:24:29] slide number 14 regarding the sources
[00:24:31] of growth in expenditure. All items
[00:24:35] experienced a decline in growth, except
[00:24:39] for other items, which experienced
[00:24:42] 0.6% growth. Could you please explain
[00:24:46] what those other sources of growth
[00:24:50] are that made it higher than the previous
[00:24:53] quarter? And the second question,
[00:24:56] sir, is about
[00:24:59] the forest and land fires
[00:25:02] that worsened in the third
[00:25:06] quarter, and the impact of
[00:25:08] the smoke. Does BPS record any
[00:25:12] impact on economic growth in the
[00:25:16] third quarter, sir, from the forest
[00:25:20] and land fires
[00:25:29] and smoke? Thank you. My name
[00:25:32] is Lisa from Bloomberg Technos. Actually,
[00:25:36] it's more of a clarification, sir.
[00:25:39] You mentioned that the open unemployment
[00:25:43] rate had decreased. I would like
[00:25:46] to ask how the open unemployment
[00:25:50] rate is calculated. Does it only
[00:25:53] include those who are truly unemployed?
[00:25:56] Or if someone works in the
[00:25:59] gig economy or works a certain
[00:26:02] number of hours per week, is
[00:26:06] that still counted
[00:26:08] as open unemployment?
[00:26:10] Thank you. For the expenditure
[00:26:13] source, although the investment
[00:26:17] component's growth declined from 6.87%
[00:26:19] to 6.06%, which is quite
[00:26:23] significant, that this penetrated 30%
[00:26:27] after several years. Does BPS observe
[00:26:30] any pattern in the growth of
[00:26:33] this investment component in previous years
[00:27:01] in the same quarter? Thank
[00:27:04] you. Mr. Edi, I am Surya
[00:27:08] from Bisnis Indonesia. I want to
[00:27:11] ask about the expenditure
[00:27:14] component, Sir, household consumption.
[00:27:18] Its contribution is 51.97%.
[00:27:21] This has decreased compared to previous quarters, right,
[00:27:25] Sir? Could you please
[00:27:29] explain what caused this? And this
[00:27:33] 51.97%,
[00:27:46] back to, good afternoon
[00:27:49] Mr. Edi, I'm Dova from
[00:27:52] CNBC Indonesia. I wanted to
[00:27:55] ask, the open unemployment rate decreased,
[00:27:59] right? Does BPS observe
[00:28:01] if this is due to government
[00:28:05] programs like Maganghup? Also,
[00:28:09] regarding the informal workers being
[00:28:12] more numerous than formal
[00:28:15] workers, does BPS observe
[00:28:18] if this is dangerous for
[00:28:22] the Indonesian economy? And
[00:28:26] finally, the economy grew
[00:28:30] in the third quarter, even
[00:28:54] How does BPS respond
[00:28:57] to this phenomenon?
[00:28:59] Thank you.
[00:29:01] Okay, ladies and
[00:29:05] gentlemen, I will answer
[00:29:08] some of the questions
[00:29:12] that were submitted online.
[00:29:15] The first question is
[00:29:18] about government consumption,
[00:29:21] which reached
[00:29:23] 8.95%
[00:29:26] year-on-year in the third
[00:29:30] quarter of 2026. What specific
[00:29:33] programs
[00:29:36] triggered the high government
[00:29:39] spending in this quarter?