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Tegal is a city in the northwest part of the province of Central Java, Indonesia. It is situated on the north coast (or pesisir) of Central Java, about 175 km (109 mi) from Semarang, the capital of the province. It had a population of 239,599 at the 2010 Census and 273,825 at the 2020 Census; the official estimate as of mid-2025 was 297,173 (comprising…
The analysis highlights History, Geography and Art as prominent areas in the source structure around Tegal.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Tegal shows recurring relationship patterns in the source. For example, Tegal → Adi Winarso, Ali Zainal Abidin, Alun-alun Mangkukusuman, As, Bibit Waluyo, But, Censuses, Central Java, Colonel Laut, Governor, Ikmal Jaya, Jl, March, Parliament Building Tegal City, Pendopo Ki Gede Sebayu, Pendopo Tegal, Resident Building, Ret, SE, SE Ak Another extracted example is Tegal → April, Bahari Inn Hotel, Bahasa Tegal, Banyumas, Brebes Regency, Congress, Director, Dwi Ery Santoso, Eko Tunas, How, However, Kepriben, Ki Enthus Susmono, One, Pemalang Regency, People, Poetry, SN Ratmana, Some Indonesian, Tegal City. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
city brebes java area central regency districts center people language building mi indonesia east province pekalongan government south also 2020
TTTA extracted 154 structured relationships around Tegal. Examples in this analysis include Tegal → Area code → (+62) 283 and Tegal → Country → Indonesia. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tegal | Area code | (+62) 283 | 1.00 | infobox |
| Tegal | Country | Indonesia | 1.00 | infobox |
| Tegal | HDI (2024) | 0.774 (2024) High | 1.00 | infobox |
| Tegal | Province | Central Java | 1.00 | infobox |
| Tegal | Time zone | UTC+7 (Indonesia Western Time) | 1.00 | infobox |
| Tegal | Website | tegalkota.go.id | 1.00 | infobox |
| Tegal | • City | 39.14 km2 (15.11 sq mi) | 1.00 | infobox |
| Tegal | • City | 297,173 | 1.00 | infobox |
| Tegal | • Density | 7,593/km2 (19,660/sq mi) | 1.00 | infobox |
| Tegal | • Hanacaraka | ꦡꦼꦒꦭ꧀ | 1.00 | infobox |
| Tegal | • Mayor | Dedy Yon Supriyono | 1.00 | infobox |
| Tegal | • Metro | 502.70 km2 (194.09 sq mi) | 1.00 | infobox |
| Tegal | • Metro | 1,698,092 | 1.00 | infobox |
| Tegal | • Metro density | 3,377.9/km2 (8,748.8/sq mi) | 1.00 | infobox |
| Tegal | • Pegon | .mw-parser-output .script-arabic{font-family:"Scheherazade New",Lateef,LateefGR,"Noto Naskh Arabic","Noto Sans Arabic","Arabic Typesetting",Amiri,"Sakkal Majalla","Harmattan","S… | 1.00 | infobox |
| Tegal | • Vice Mayor | Tazkiyatul Mutmainah [id] | 1.00 | infobox |
| Tegal | is a | city in the northwest part of the province of Central Java | 0.90 | text |
The concept neighborhoods around Tegal bring nearby vocabulary together. In this analysis, examples include Language, Area and Center. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tegal, one of the stronger structural bridges in this analysis connects Tegal with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Tegal to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tegal · EN edition · Analysis: TopicsToTalkAbout