Indonesia: Metro TV

20261105 04:30 UTC · 00:29:43 · 473 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

Film strip

One frame every 4 seconds, 446 in all. Click a frame to jump the transcript to that moment, or click a line of the transcript to see what was on screen while it was said. Served from apprised.news, so it loads behind proxies that block Google Cloud Storage.

00:00:00
00:00:04
00:00:08
00:00:12
00:00:16
00:00:20
00:00:24
00:00:28
00:00:32
00:00:36
00:00:40
00:00:44
00:00:48
00:00:52
00:00:56
00:01:00
00:01:04
00:01:08
00:01:12
00:01:16
00:01:20
00:01:24
00:01:28
00:01:32
00:01:36
00:01:40
00:01:44
00:01:48
00:01:52
00:01:56
00:02:00
00:02:04
00:02:08
00:02:12
00:02:16
00:02:20
00:02:24
00:02:28
00:02:32
00:02:36
00:02:40
00:02:44
00:02:48
00:02:52
00:02:56
00:03:00
00:03:04
00:03:08
00:03:12
00:03:16
00:03:20
00:03:24
00:03:28
00:03:32
00:03:36
00:03:40
00:03:44
00:03:48
00:03:52
00:03:56
00:04:00
00:04:04
00:04:08
00:04:12
00:04:16
00:04:20
00:04:24
00:04:28
00:04:32
00:04:36
00:04:40
00:04:44
00:04:48
00:04:52
00:04:56
00:05:00
00:05:04
00:05:08
00:05:12
00:05:16
00:05:20
00:05:24
00:05:28
00:05:32
00:05:36
00:05:40
00:05:44
00:05:48
00:05:52
00:05:56
00:06:00
00:06:04
00:06:08
00:06:12
00:06:16
00:06:20
00:06:24
00:06:28
00:06:32
00:06:36
00:06:40
00:06:44
00:06:48
00:06:52
00:06:56
00:07:00
00:07:04
00:07:08
00:07:12
00:07:16
00:07:20
00:07:24
00:07:28
00:07:32
00:07:36
00:07:40
00:07:44
00:07:48
00:07:52
00:07:56
00:08:00
00:08:04
00:08:08
00:08:12
00:08:16
00:08:20
00:08:24
00:08:28
00:08:32
00:08:36
00:08:40
00:08:44
00:08:48
00:08:52
00:08:56
00:09:00
00:09:04
00:09:08
00:09:12
00:09:16
00:09:20
00:09:24
00:09:28
00:09:32
00:09:36
00:09:40
00:09:44
00:09:48
00:09:52
00:09:56
00:10:00
00:10:04
00:10:08
00:10:12
00:10:16
00:10:20
00:10:24
00:10:28
00:10:32
00:10:36
00:10:40
00:10:44
00:10:48
00:10:52
00:10:56
00:11:00
00:11:04
00:11:08
00:11:12
00:11:16
00:11:20
00:11:24
00:11:28
00:11:32
00:11:36
00:11:40
00:11:44
00:11:48
00:11:52
00:11:56
00:12:00
00:12:04
00:12:08
00:12:12
00:12:16
00:12:20
00:12:24
00:12:28
00:12:32
00:12:36
00:12:40
00:12:44
00:12:48
00:12:52
00:12:56
00:13:00
00:13:04
00:13:08
00:13:12
00:13:16
00:13:20
00:13:24
00:13:28
00:13:32
00:13:36
00:13:40
00:13:44
00:13:48
00:13:52
00:13:56
00:14:00
00:14:04
00:14:08
00:14:12
00:14:16
00:14:20
00:14:24
00:14:28
00:14:32
00:14:36
00:14:40
00:14:44
00:14:48
00:14:52
00:14:56
00:15:00
00:15:04
00:15:08
00:15:12
00:15:16
00:15:20
00:15:24
00:15:28
00:15:32
00:15:36
00:15:40
00:15:44
00:15:48
00:15:52
00:15:56
00:16:00
00:16:04
00:16:08
00:16:12
00:16:16
00:16:20
00:16:24
00:16:28
00:16:32
00:16:36
00:16:40
00:16:44
00:16:48
00:16:52
00:16:56
00:17:00
00:17:04
00:17:08
00:17:12
00:17:16
00:17:20
00:17:24
00:17:28
00:17:32
00:17:36
00:17:40
00:17:44
00:17:48
00:17:52
00:17:56
00:18:00
00:18:04
00:18:08
00:18:12
00:18:16
00:18:20
00:18:24
00:18:28
00:18:32
00:18:36
00:18:40
00:18:44
00:18:48
00:18:52
00:18:56
00:19:00
00:19:04
00:19:08
00:19:12
00:19:16
00:19:20
00:19:24
00:19:28
00:19:32
00:19:36
00:19:40
00:19:44
00:19:48
00:19:52
00:19:56
00:20:00
00:20:04
00:20:08
00:20:12
00:20:16
00:20:20
00:20:24
00:20:28
00:20:32
00:20:36
00:20:40
00:20:44
00:20:48
00:20:52
00:20:56
00:21:00
00:21:04
00:21:08
00:21:12
00:21:16
00:21:20
00:21:24
00:21:28
00:21:32
00:21:36
00:21:40
00:21:44
00:21:48
00:21:52
00:21:56
00:22:00
00:22:04
00:22:08
00:22:12
00:22:16
00:22:20
00:22:24
00:22:28
00:22:32
00:22:36
00:22:40
00:22:44
00:22:48
00:22:52
00:22:56
00:23:00
00:23:04
00:23:08
00:23:12
00:23:16
00:23:20
00:23:24
00:23:28
00:23:32
00:23:36
00:23:40
00:23:44
00:23:48
00:23:52
00:23:56
00:24:00
00:24:04
00:24:08
00:24:12
00:24:16
00:24:20
00:24:24
00:24:28
00:24:32
00:24:36
00:24:40
00:24:44
00:24:48
00:24:52
00:24:56
00:25:00
00:25:04
00:25:08
00:25:12
00:25:16
00:25:20
00:25:24
00:25:28
00:25:32
00:25:36
00:25:40
00:25:44
00:25:48
00:25:52
00:25:56
00:26:00
00:26:04
00:26:08
00:26:12
00:26:16
00:26:20
00:26:24
00:26:28
00:26:32
00:26:36
00:26:40
00:26:44
00:26:48
00:26:52
00:26:56
00:27:00
00:27:04
00:27:08
00:27:12
00:27:16
00:27:20
00:27:24
00:27:28
00:27:32
00:27:36
00:27:40
00:27:44
00:27:48
00:27:52
00:27:56
00:28:00
00:28:04
00:28:08
00:28:12
00:28:16
00:28:20
00:28:24
00:28:28
00:28:32
00:28:36
00:28:40
00:28:44
00:28:48
00:28:52
00:28:56
00:29:00
00:29:04
00:29:08
00:29:12
00:29:16
00:29:20
00:29:24
00:29:28
00:29:32
00:29:36
00:29:40

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.

00:00:00Samples in large-scale So, and medium-scale for the third
00:00:02processing 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
00:00:06in industrial areas in KI
00:00:10based on the results from large
00:00:13and medium industry surveys (IPS) on a quarterly
00:00:17basis, with sample coverage in large-scale
00:00:19and medium-scale processing industries.
00:00:23Sample selection in industrial areas
00:00:26in KI and also
00:00:29in special economic zones
00:00:32real per capita expenditure and which is carried out as a "take all"
00:00:36for industrial areas
00:00:39expenditure of the and special economic zones,
00:00:41while sample selection in non-areas
00:00:45uses probabilistic
00:00:47sampling. Then also,
00:00:50IKBM is only estimated at
00:00:53the national level.
00:00:57In the third quarter of 2026,
00:01:03IKBM was recorded at
00:01:0552.75,
00:01:10which indicates that the manufacturing
00:01:13industry sector
00:01:16is in an expansion phase and
00:01:20strengthened compared to the previous
00:01:23quarter.
00:01:25In terms of components, production
00:01:28components, inventory
00:01:32and labor experienced expansion,
00:01:35meaning the condition was better compared to the second
00:01:39quarter. In the third quarter just now, production
00:01:42components, orders, inventory and labor
00:01:46were better compared to the second
00:01:49quarter, while the delivery
00:01:51time component
00:01:55experienced a contraction in the third quarter of 2026, meaning the condition
00:01:58in the third quarter of 2026
00:02:01was not better compared to the second quarter
00:02:05of 2006 for the delivery
00:02:08time component.
00:02:12Then, ladies and gentlemen, in the third
00:02:15part I will present the state of the Indonesian
00:02:18workforce in August
00:02:212026.
00:02:232026.
00:02:26First, I will present the labor force structure.
00:02:30Indonesia as of August
00:02:332026 there were as many
00:02:37as 200,20.91
00:02:42million working-age people in
00:02:44Indonesia. This number
00:02:47increased by 2.74 million
00:02:51people compared
00:02:5238.61% to August
00:02:542025.
00:02:57The working-age population includes a labor
00:03:01force of
00:03:04155.37
00:03:07million people or an increase of approximately
00:03:101.30
00:03:12of the education million people compared to August
00:03:162025. Then, the non-labor
00:03:19force was 65.54
00:03:23million people or an increase of approximately
00:03:261.38 million people
00:03:30compared to August 2025.
00:03:322025.
00:03:35Then, from that labor force,
00:03:38of the education capita expenditure per 147.99 million people
00:03:42among them were employed.
00:03:46The number of employed people increased by
00:03:491.44
00:03:52million people compared to August
00:03:552025.
00:03:58If detailed further, the employed population
00:04:01consists of full-time workers as many
00:04:05as 99.85 million people or
00:04:09an increase of 1.2 million
00:04:12people, part-time workers
00:04:15as many as 35.30 million people or
00:04:19a decrease of 1
00:04:22million people, underemployed
00:04:26workers as many as 12.84
00:04:30million people or
00:04:32in public health an increase of 1.24
00:04:35million people. On the other hand, the labor force
00:04:39not absorbed into the labor market
00:04:42became unemployed, which was
00:04:457.38 million people
00:04:49or a decrease of approximately
00:04:5277,000 people compared to
00:04:55August
00:04:572025.
00:05:00Furthermore, the labor force participation rate
00:05:03(TPAK) was recorded as decreasing.
00:05:05TPAK
00:05:08real per capita expenditure in August 2026 was
00:05:1070.33,
00:05:13or lower compared to August
00:05:162025, which reached
00:05:2070.59%.
00:05:24If differentiated by gender, male TPAK was
00:05:28higher than female TPAK, where male TPAK
00:05:31reached
00:05:3384.16%,
00:05:35while female TPAK reached
00:05:3756.37%.
00:05:41Nevertheless, male TPAK
00:05:44and female TPAK were recorded as decreasing compared
00:05:48to August 2025.
00:05:512025.
00:05:54Next, I will present the development of the open
00:05:57unemployment rate
00:05:59or TPT. In August
00:06:022026, there were as many
00:06:06as 7.38 million unemployed people or
00:06:09equivalent to an open unemployment rate of
00:06:134.75%.
00:06:18This figure is lower compared to August
00:06:212025. If broken down by
00:06:25gender, the decrease in TPT in August
00:06:282026 compared to August 2025
00:06:32occurred among male residents, while
00:06:36the open unemployment rate for women
00:06:39actually increased.
00:06:42Meanwhile, if broken down by region,
00:06:46the decrease in the open unemployment rate occurred in urban
00:06:50and rural
00:06:51areas.
00:06:55Next, ladies and gentlemen, I will present
00:06:59labor absorption by business sector.
00:07:02As per
00:07:05Sakernas February and May
00:07:072026, in the August
00:07:102026 Sakernas. The standard classification
00:07:13of Indonesian business fields
00:07:17(KBLI) for 2025 has also
00:07:21been implemented, while the August
00:07:24Sakernas for August
00:07:272025 still used the 2020
00:07:31KBLI.
00:07:33In August 2026, the three business
00:07:37sectors with the most labor absorption
00:07:40were agriculture, large and retail trade,
00:07:44and
00:07:44industry.
00:07:48Then, if we look at the working population by
00:07:52employment status, in August 2026,
00:07:56out of 147.99
00:07:59million people employed,
00:08:05were laborers, employees,
00:08:07or civil servants.
00:08:11Compared to last August
00:08:142025, the number of employed
00:08:17people with the status of laborers, employees,
00:08:21and civil servants
00:08:24increased by 0.36 million people, while the number of employed
00:08:28people with the status of self-employed experienced
00:08:31the largest increase, which was
00:08:34approximately 0.503 million people.
00:08:37Meanwhile, in line with the increase in employed
00:08:41people as laborers, employees, and civil
00:08:45servants, the number of formal workers as of August
00:08:482026 increased to approximately
00:08:5162.25 million
00:08:54people.
00:08:58In this section, I will present the working population by
00:09:02education level. In August
00:09:052026,
00:09:0713.37%
00:09:09of the working population had
00:09:13higher education, namely diploma or above,
00:09:17while 33.89%
00:09:20of the working population had
00:09:23elementary school education or below, so workers with
00:09:26low education still dominate the working
00:09:29population in Compared to last August,
00:09:33the percentage of workers with
00:09:36elementary school education or below continued to decrease,
00:09:39while workers with diploma education or above continued
00:09:55the working population by working hour category in August
00:09:592026. The percentage of workers
00:10:02working full-time or more than
00:10:0535 hours per week
00:10:08was 67.47%,
00:10:12or approximately 99.85
00:10:15million people. This proportion of full-time
00:10:19workers increased by approximately
00:10:210.15 percentage points
00:10:25from 67.32% in August
00:10:292025.
00:10:31Thus, the proportion of workers with non-full
00:10:35working hours, namely 1 to 34
00:10:38hours a week, was
00:10:4032.53%, or approximately
00:10:4448.14 million
00:10:47people.
00:10:50Among non-full-time workers, the underemployment
00:10:53rate, namely people who work less than
00:10:5735 hours a week and
00:11:00are still looking for work,
00:11:03increased to 8.68%
00:11:06from the previous
00:11:107.91% in August
00:11:142025.
00:11:17In summary, the labor force conditions in
00:11:20August 2026 are as follows:
00:11:23First, out of the entire working-age
00:11:27population, i.e., 15 years and above, approximately 70
00:11:30out of 100 people are in the labor force or
00:11:34active in the labor market. The open
00:11:37unemployment rate (TPT) in August
00:11:402026 was
00:11:434.75%, or approximately 5 out of 100 labor
00:11:46force members are
00:11:49The proportion of formal workers slightly decreased
00:11:52to 42.07%. And the full-time
00:11:56working population
00:11:59increased to
00:12:0067.47%.
00:12:04In August 2026, the three business sectors
00:12:07with the most labor absorption were agriculture,
00:12:11large and retail trade,
00:12:13and industry.
00:12:16Finally, I will present Indonesia's
00:12:19Human Development Index (HDI) for
00:12:212026.
00:12:25In 2026, Indonesia's Human Development
00:12:29Index or HDI reached
00:12:3176.69,
00:12:34which is in the high category. This figure
00:12:38increased by 0.69 points from
00:12:412025, which was
00:12:4375.90.
00:12:46Since 2020, Indonesia's HDI has
00:12:50been consistently increasing.
00:12:54If broken down by its constituent
00:12:57components, the achievements for 2026 are
00:13:00as follows. Life expectancy at birth
00:13:04in Indonesia reached
00:13:0674.68
00:13:08years, meaning that in
00:13:112026, the average age of newborns
00:13:14is estimated to be 74.68
00:13:1774,68
00:13:19years. The average length
00:13:23of schooling is 9.16 years,
00:13:26meaning that the population aged
00:13:3025 and above in Indonesia has an average
00:13:33length of schooling of 9.6 years
00:13:35or equivalent to 3rd grade junior high
00:13:39school. The expected length of schooling
00:13:43is 13.34 years, meaning that the Indonesian
00:13:46population aged
00:13:487 years is estimated to pursue
00:13:52education for 13.34 years or equivalent
00:13:55to the second year of college.
00:13:59Then, from the perspective of real per
00:14:03year adjusted to
00:14:0613,368,000,
00:14:10meaning that the average real expenditure of the Indonesian
00:14:13population in 2026 reached 13.30
00:14:17million per year per
00:14:19person.
00:14:22Next, I will present the development of each
00:14:26HDI component.
00:14:27First,
00:14:30life expectancy at birth or
00:14:34UHH shows a continuous upward trend,
00:14:38reaching 74.68 years in
00:14:412026. This figure increased
00:14:45by 0.21 years compared to UHH in
00:14:492025. The increase in UHH
00:14:52at birth indicates an improvement
00:14:57due to awareness of giving birth in health
00:15:00facilities, awareness of the importance of
00:15:04using proper drinking water, and increased public health
00:15:08access.
00:15:11Second, the education component, which
00:15:14includes expected years of schooling
00:15:18(HLS) and average years of schooling
00:15:21(RLS). In 2026, HLS
00:15:24reached 13.34 years, equivalent to the
00:15:28second year of college. This figure increased
00:15:31by 0.04 years compared to 2025.
00:15:34For average years of schooling,
00:15:37it reached 9.16 years, or equivalent to
00:15:403rd grade junior high school,
00:15:439th grade, sorry. RLS
00:15:472026 increased by 0.09 years
00:15:51compared to 2025.
00:15:53The increase in HLS and RLS indicates
00:15:57an improvement in education facilities and
00:16:00access, as well as increased public awareness
00:16:04of education.
00:16:06Finally,
00:16:09per year adjusted in 2026, real
00:16:13per capita
00:16:16Indonesian population adjusted using
00:16:20PPP, purchasing power parity, reached
00:16:2413.37 million per year. This
00:16:27figure increased by 566,000
00:16:30compared to
00:16:322025.
00:16:36Next, we will present
00:16:39HDI achievements spatially.
00:16:42In 2026, the province
00:16:45with the highest HDI
00:16:48is Papua Mountains with
00:16:51an HDI value of 55.25,
00:16:55while the province with the highest HDI
00:16:58is DKI Jakarta at
00:17:0085.88%.
00:17:05If viewed by category,
00:17:09five provinces are in the very
00:17:12high HDI category, then 30
00:17:16provinces are in the high category,
00:17:19two provinces are in the medium category, and
00:17:23one province, namely Papua Mountains,
00:17:27is in the low
00:17:31Next is the growth of HDI by
00:17:33province. The graph shows
00:17:38that in 2026, the highest HDI was achieved
00:17:41by DKI Province, as I mentioned earlier,
00:17:45while the lowest HDI was achieved
00:17:48by Papua Mountains
00:17:50Province at 55.25.
00:17:53The HDI of DKI Jakarta itself
00:17:55was 88.
00:17:5785.88.
00:18:01For increases, the highest increase was achieved
00:18:05by the Special Region of Yogyakarta.
00:18:08Jakarta increased by 0.95 points, while
00:18:12the lowest increase in the last year was achieved
00:18:16by Central Papua province, which increased
00:18:32the three provinces with the highest
00:18:35HDI increases.
00:18:39The HDI of the Special Region
00:18:42of Yogyakarta increased by 0.95
00:18:44points. This is reflected in the strengthening
00:18:49dimension, which is supported by various scholarship
00:18:53programs such as Sleman
00:18:56Pintar, one poor family, one
00:19:00graduate, regional education guarantees, and Gunung
00:19:03Kidul Cerdas.
00:19:06The HDI of Southeast Sulawesi
00:19:09increased by 0.94 points. This
00:19:12is reflected in the strengthening
00:19:16dimension, supported by an increased
00:19:18scholarship budget of 10 billion,
00:19:22the Sultra Cerdas program,
00:19:25prevention of school dropouts,
00:19:27and school revitalization with an allocation
00:19:31of 500 billion.
00:19:35The HDI of Central Sulawesi increased
00:19:38by 0.87 points. This is
00:19:42reflected in the strengthening of the education
00:19:46and health dimensions, in line with the revitalization
00:19:49of 54 education units, the Mosikola
00:19:53program, the Berani Cerdas scholarship, and the Berani
00:19:57Sehat program.
00:19:59In summary, ladies and gentlemen, from
00:20:03the 2026 HDI data, we report
00:20:06the following: First, Indonesia's HDI in 2026 reached
00:20:1076.59
00:20:13and is categorized as high. Compared
00:20:17to 2025, the HDI in 2026 increased
00:20:20by 0.69 points. The increase
00:20:24in HDI in 2026
00:20:27was driven by the life expectancy indicator,
00:20:31which increased by 0.21 years;
00:20:34expected years of schooling increased by 0.04
00:20:37years; average years of schooling
00:20:41increased by 0.09 years; and
00:20:45per year adjusted increased by
00:20:47566,000.
00:20:51Yes, the province with the highest
00:20:55HDI is DKI Jakarta.
00:20:57Conversely, the lowest is Papua
00:21:00Mountains Province. Meanwhile, the highest HDI
00:21:03increase was achieved by the Special
00:21:07Region of Yogyakarta at 0.95
00:21:11points. Conversely, the lowest increase was
00:21:14recorded in Central Papua province
00:21:18at 0.31 points.
00:21:20The status of human development
00:21:23in Bali and East
00:21:27Kalimantan provinces increased from high to very
00:21:30high, while East Nusa Tenggara
00:21:34and Papua, South Papua, increased
00:21:37from medium
00:21:39to high.
00:21:42That concludes, ladies and gentlemen, the official
00:21:46statistical news release for November
00:24:22From Writers, there are two questions,
00:24:26sir. The first one is on
00:24:29slide number 14 regarding the sources
00:24:31of growth in expenditure. All items
00:24:35experienced a decline in growth, except
00:24:39for other items, which experienced
00:24:420.6% growth. Could you please explain
00:24:46what those other sources of growth
00:24:50are that made it higher than the previous
00:24:53quarter? And the second question,
00:24:56sir, is about
00:24:59the forest and land fires
00:25:02that worsened in the third
00:25:06quarter, and the impact of
00:25:08the smoke. Does BPS record any
00:25:12impact on economic growth in the
00:25:16third quarter, sir, from the forest
00:25:20and land fires
00:25:29and smoke? Thank you. My name
00:25:32is Lisa from Bloomberg Technos. Actually,
00:25:36it's more of a clarification, sir.
00:25:39You mentioned that the open unemployment
00:25:43rate had decreased. I would like
00:25:46to ask how the open unemployment
00:25:50rate is calculated. Does it only
00:25:53include those who are truly unemployed?
00:25:56Or if someone works in the
00:25:59gig economy or works a certain
00:26:02number of hours per week, is
00:26:06that still counted
00:26:08as open unemployment?
00:26:10Thank you. For the expenditure
00:26:13source, although the investment
00:26:17component's growth declined from 6.87%
00:26:19to 6.06%, which is quite
00:26:23significant, that this penetrated 30%
00:26:27after several years. Does BPS observe
00:26:30any pattern in the growth of
00:26:33this investment component in previous years
00:27:01in the same quarter? Thank
00:27:04you. Mr. Edi, I am Surya
00:27:08from Bisnis Indonesia. I want to
00:27:11ask about the expenditure
00:27:14component, Sir, household consumption.
00:27:18Its contribution is 51.97%.
00:27:21This has decreased compared to previous quarters, right,
00:27:25Sir? Could you please
00:27:29explain what caused this? And this
00:27:3351.97%,
00:27:46back to, good afternoon
00:27:49Mr. Edi, I'm Dova from
00:27:52CNBC Indonesia. I wanted to
00:27:55ask, the open unemployment rate decreased,
00:27:59right? Does BPS observe
00:28:01if this is due to government
00:28:05programs like Maganghup? Also,
00:28:09regarding the informal workers being
00:28:12more numerous than formal
00:28:15workers, does BPS observe
00:28:18if this is dangerous for
00:28:22the Indonesian economy? And
00:28:26finally, the economy grew
00:28:30in the third quarter, even
00:28:54How does BPS respond
00:28:57to this phenomenon?
00:28:59Thank you.
00:29:01Okay, ladies and
00:29:05gentlemen, I will answer
00:29:08some of the questions
00:29:12that were submitted online.
00:29:15The first question is
00:29:18about government consumption,
00:29:21which reached
00:29:238.95%
00:29:26year-on-year in the third
00:29:30quarter of 2026. What specific
00:29:33programs
00:29:36triggered the high government
00:29:39spending in this quarter?
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.