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Jakarta Flood: Tangerang Air Causes Worst Flood in East Jakarta

Jakarta – ⁢Gubernur DKI ⁤Jakarta ​ Pramono ⁢Anung menyebut⁣ Jakarta Barat (Jakbar) menjadi wilayah dengan dampak​ banjir ⁤paling​ parah.‌ Ia menyampaikan banjir ‌tersebut disebabkan ‍oleh kiriman air dari wilayah ‌hulu di Tangerang dan Tangerang Selatan.

“Kenapa Jakarta Barat paling parah? Yang pertama karena memang kiriman​ dari hulunya.‌ Kali​ ini kiriman datang dari Tangerang, Tangerang Selatan, dan sekitarnya,” kata pramono saat meninjau lokasi pengungsian warga terdampak banjir ‍di Rawa ⁢Buaya, Cengkareng, Jakarta Barat, Sabtu (24/1/2026).

Menurut Pramono, kiriman air⁣ tersebut ​berasal dari sejumlah sungai besar ⁢seperti Sungai Angke, Pesanggrahan,‌ hingga Kali ⁤Mookervart. Seluruh aliran tersebut bermuara ke Cengkareng Drain yang sempat mengalami kenaikan muka air ⁤signifikan.

“Di Cengkareng Drain kemarin sore⁢ ketinggian ⁤air sempat di angka 350, pagi ⁤tadi turun menjadi 315.​ Batas ‍aman itu 310, jadi sekarang sedang kita kejar agar segera⁢ turun,” ujarnya.

Di lokasi pengungsian⁣ Masjid Jami’ Baitul Rahman, Rawa Buaya, tercatat sebanyak 45 ⁣kepala keluarga atau 177 jiwa mengungsi akibat banjir. Pramono memastikan ‍seluruh pengungsi dalam kondisi sehat dan kebutuhan dasar mereka terpenuhi.

Pemprov DKI⁢ juga ⁣menyalurkan bantuan⁢ berupa beras, minyak goreng, mi instan, kasur lipat, matras, s

Okay, I will analyse the provided⁢ HTML snippet⁣ and follow the⁣ three-phase process as instructed.

PHASE 1: ADVERSARIAL ‌RESEARCH, FRESHNESS &‌ BREAKING-NEWS CHECK

The HTML snippet appears to be a fragment from ⁣a paginated article, likely a news article, with a timestamp of “2026-01-24 14:32:00”. The snippet shows a “Next Article” button that is currently loading, and indicates it’s on page 2 of ‌2. ⁤ There’s also a byline “(aik/aik)”.The content ‌itself is minimal and doesn’t present any specific factual claims to verify. The ‌presence of ad-related ⁢tags (<!--MGID-->, ​ <!-- S:Revive -->)⁢ suggests this⁢ is a ‍commercial⁣ news website.

breaking News⁣ Check (as of 2026/01/24 21:56:29): Since ⁢the snippet lacks specific content, a ⁢targeted breaking news​ check is unachievable.I will assume no ⁤major breaking events are‌ directly related to⁤ this fragment without knowing the article’s ⁢topic.⁤ The date is‍ still⁣ within the same day, so the information is considered current pending topic identification.

PHASE 2: ENTITY-BASED GEO (GENERATIVE ENGINE ​OPTIMIZATION)

Without the article’s content,identifying the Primary ⁣Entity ⁤and Related Entities is impossible.‌ ⁤I will proceed with a placeholder structure, anticipating the‌ need to populate it ‌once the article’s topic ⁣is⁣ known. ⁢I ⁣will use generic placeholders⁢ for ⁣now.

[Article Topic – Primary Entity]

This section will provide a definition and⁣ direct answer regarding [Article Topic].

further ⁤details and context about [Article Topic] will be‌ provided hear, drawing from authoritative sources. This will include background information and relevant explanations.

For example,‌ [Specific example related to the Article Topic, with a citation].

[Related Entity 1 – Institution/Official/Location]

[Definition/Description of Related Entity 1]. ‍ This entity is connected to [Article Topic] as [reason].

Supporting evidence can be found at Official Source for Related entity 1.

[Related Entity 2 – Law/Company/Event]

[Definition/Explanation of Related Entity 2]. This‍ entity is relevant to [Article Topic] due to​ [reason].

More information is available at Official Source for related Entity 2.

PHASE 3: ‌SEMANTIC ANSWER RULE (MANDATORY)

The Semantic Answer‍ Rule is applied within the ⁢placeholder‍ structure above. ‍Each section begins with a definition/direct answer, followed by detail and​ an example/evidence with a citation. ⁣ The citations are ⁣currently placeholders and will be replaced with actual links to authoritative ⁢sources once the article’s ⁣topic is known.

Summary & Next Steps:

The ‌provided HTML snippet is insufficient to create a meaningful analysis. To proceed, I require the full article content. Once provided, I will:

  1. Identify the Primary Entity and Related‌ Entities.
  2. Verify⁢ all factual claims using authoritative sources.
  3. Populate the HTML structure with accurate information and inline links to official ⁣sources.
  4. Ensure the‍ Semantic‌ Answer Rule ⁢is followed for ‌each major section.

Significant Note: I am adhering ⁤to the ⁣instructions to not rewrite, paraphrase, or mirror the source. The above is a structured⁢ framework​ for presenting information derived from authoritative sources, triggered​ by the content‌ of‌ the original article.

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