Telegram RegisterThe public register of Telegram
Telegram profile photo for SIPILPEDIA CHANNEL

Channel

SIPILPEDIA CHANNEL

@sipilpedia

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Cite this entry

8,103subscribers

-248 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001150991916
TypeChannel
Username@sipilpedia
DescriptionUpdate Informasi terkait Teknik Sipil
CreatedBetween 1 September 2018 and 31 May 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/sipilpedia

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

8,0998,3518,2256 August 2026 — 8,351 subscribers6 August 2026 — 8,351 subscribers10 August 2026 — 8,339 subscribers14 August 2026 — 8,328 subscribers17 August 2026 — 8,319 subscribers20 August 2026 — 8,310 subscribers26 August 2026 — 8,304 subscribers29 August 2026 — 8,290 subscribers1 September 2026 — 8,286 subscribers4 September 2026 — 8,275 subscribers10 September 2026 — 8,263 subscribers14 September 2026 — 8,260 subscribers18 September 2026 — 8,255 subscribers27 September 2026 — 8,233 subscribers5 October 2026 — 8,213 subscribers12 October 2026 — 8,181 subscribers15 October 2026 — 8,162 subscribers19 October 2026 — 8,145 subscribers22 October 2026 — 8,135 subscribers25 October 2026 — 8,129 subscribers28 October 2026 — 8,118 subscribers31 October 2026 — 8,106 subscribers2 November 2026 — 8,099 subscribers5 November 2026 — 8,103 subscribers8,1036 August 20265 November 2026
24 measurements spanning 91 days, net -248. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,061–8,389 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
5 Nov 2026, 13:298,103+4
2 Nov 2026, 22:458,099-7
31 Oct 2026, 07:388,106-12
28 Oct 2026, 10:518,118-11
25 Oct 2026, 07:278,129-6
22 Oct 2026, 09:568,135-10
19 Oct 2026, 03:308,145-17
15 Oct 2026, 17:208,162-19
12 Oct 2026, 13:208,181-32
5 Oct 2026, 14:388,213-20
27 Sept 2026, 22:008,233-22
18 Sept 2026, 11:398,255-5
14 Sept 2026, 04:588,260-3
10 Sept 2026, 11:398,263-12
4 Sept 2026, 21:598,275-11
1 Sept 2026, 15:538,286-4
29 Aug 2026, 23:168,290-14
26 Aug 2026, 23:348,304-6
20 Aug 2026, 02:488,310-9
17 Aug 2026, 13:278,319first reading

Engagement

56 posts held, back to 25 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 29 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.86%
avg views ÷ 8,103 subscribers
Avg views / post
637
10 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
10
of 56 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 October 2026
Posts held56 (25 June 2026 – 30 October 2026)
Views total6,367
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 11:35 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈1,900
Videos
≈29
Links
≈1,220

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 10 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

30 Oct 2026, 12:54 UTC387 viewsread 6 November 2026

REMINDER H-1 WEBINAR SERIES 4! BESOK, SABTU 31 OKTOBER 2026! DETAILING IS DESIGN Reinforcement Detailing Based on SNI 6816:2025 Bersama: Dr. Ir. Usman Wijaya, S.T., M.T., IPU. Dosen Teknik Sipil Universitas Trisakti 📅 Sabtu, 31 Oktober 2026 ⏰ 09.00 WIB 💻 Online via Zoom BAGI PESERTA YANG SUDAH MENDAFTAR: Silakan cek email yang digunakan saat pendaftaran untuk mendapatkan Link Zoom Webinar. Jangan lupa periksa fo…

23 Oct 2026, 12:33 UTC739 viewsread 6 November 2026

acaranya besok ya... yang mau daftar disini ya https://swiy.co/WebinarSipilTrisaktiSeries3

20 Oct 2026, 05:44 UTC843 viewsread 6 November 2026

*SERING BERMASALAH DENGAN TANAH LUNAK? MUNGKIN INI BISA JADI SALAH SATU SOLUSINYA!* Tanah lunak sering menjadi tantangan dalam proyek konstruksi. Mulai dari daya dukung tanah yang rendah, penurunan berlebih (*settlement*), hingga risiko ketidakstabilan struktur. Lalu, bagaimana cara meningkatkan kekuatan dan memperbaiki karakteristik tanah tanpa harus mengganti seluruh material tanah yang bermasalah? Salah satu me…

18 Oct 2026, 02:17 UTC649 viewsread 6 November 2026

WEBINAR SUDAH DIMULAI ❗️❗️❗️ Divisi 1 : Umum dan Penerapan SMKK Spesifikasi Umum 2025 untuk Pekerjaan Jalan dan Jembatan Webinar sudah berlangsung. Bagi teman-teman yang sudah mendaftar, silakan segera bergabung melalui link yang sudah kami kirimkan via email. Atau bisa langsung akses melalui: 🔗 BIGMARKER https://swiy.co/Session138

8 Oct 2026, 07:05 UTC≈1,010 viewsread 6 November 2026

WEBINAR SERIES | TEKNIK SIPIL UNIVERSITAS TRISAKTI SERIES 1 We Fail, We Learn, We Rise and Shine : A Geotechnical POV Kapan lagi kita bisa belajar langsung dari praktisi sekaligus akademisi? Di webinar ini, kita tidak hanya membahas teori geoteknik, tetapi juga melihat bagaimana persoalan dan kegagalan geoteknik benar-benar terjadi di lapangan—mulai dari mekanika tanah, fondasi, lereng, hingga DPT. Bersama Dr. Ir…

4 Oct 2026, 06:28 UTC≈1,010 viewsread 6 November 2026

WEBINAR SERIES | TEKNIK SIPIL UNIVERSITAS TRISAKTI SERIES 1 We Fail, We Learn, We Rise and Shine - A Geotechnical POV Bagaimana kegagalan dalam pekerjaan geoteknik dapat dipahami dan dicegah melalui pemahaman konsep yang tepat? Webinar ini akan membahas beberapa bidang geoteknik tipikal, termasuk mekanika tanah, fondasi, lereng, dan DPT, disertai diskusi mengenai kasus kegagalan serta solusi penanganannya. Materi…

Showing the 12 most recent of 56 posts we hold for @sipilpedia. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 5 November 2026 — this entry's latest reading, not the date you are reading this.

“SIPILPEDIA CHANNEL” (@sipilpedia), 8,103 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/sipilpedia.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.