Apa sing bisa - lan ora bisa - dideteksi dening panyelehan iki

Saben panyelehi plagiarisme duwé titik buta. Kabèh nglumpukaké. Halaman iki, lengkap, amarga laporan sing ora bisa diinterogasi iku laporan sing ora bisa dipercaya.

Cara mesin kerja

Periksaan iki diwiwiti ing rong tahapan. Sadurungé, pangrekrut: kita nyelehake sampel 8- 12 tembung kang unik saka saben wewengkon teksmu - luwih milih tembung kang jarang, kang bisa dijupuk luwih apik tinimbang tembung kang umum - lan nggoleki saben tembung ing web live minangka frasa sing dikutip. Iki ngasilaké set kaca kandidat.

Kapisan, verifikasi: kita ngundhuh saben kaca calon lan nglakoni saben ukara teksmu karo isi asli kaca, lokal. Kaca-kaca tumpang tindih ditemokaké karo perbandingan jendela tembung; parafrasa cedhak karo token-tumpang tindih lan ambang-kesamaan-sunting. Rangking mesin pencari kaca ora tau ditrapaké minangka bukti - mung perbandingan teks sing diverifikasi sing diitung, lan saben match nggawa angka kepercayaan ing laporan.

Sadurungé iku, teks sampeyan bakal dinormalisasi: Karakter Unicode kang padha (setunggaling cara standar kanggo ngontrol sing salah) bakal diukir manèh dadi aksara kang padha, mula aksara Cyrillic sing ditukar ora bakal nyembunyikaké match.

Nalika kita bakal kelangan match (negatif palsu)

  • Ing taun 1990, dhèwèké miwiti nulis buku-buku, majalah, lan artikel babagan sastra.
  • Panggonan data pribadi - kalebu arsip pangiriman akademik kaya Turnitin. Ora ana piranti publik sing bisa ndeleng; sapa wae sing nyekel bebas sing nggambarake liya iku bohong marang sampeyan.
  • Buku-buku iki diterbitaké ing basa Inggris lan ora diterbitaké ing basa Indonésia.
  • Kajaba iku, ana uga sing nulis lan nulis-nulis ing basa Jawa, nanging ora ana sing nulis lan nulis ing basa Jawa.
  • Parafrasa kang akèh: nulis manèh kang ngganti akèh tembung mudhun ing ngisor ambang rata- rata. Ngadeteksi ide (ora kaya tembung) ora bisa ditemokaké ing paraga teks.

Nalika kita bakal nyebataken teks kang ora ana gunané (positif palsu)

  • Materi ingkang dipun- waca kanthi bener - wacan kedah cocog kaliyan sumberipun. Priksa wacan, boten seret- seret.
  • Ing basa Inggris, istilah iki bisa digunakaké kanggo nyebut istilah-istilah, istilah-istilah, lan istilah-istilah sing ana ing basa liya.
  • Bibliografi punika wangun referensi ingkang dipungunakaken kanggé nyerat karya-karya ingkang dipunserat.
  • Basa Jawa iku basa kang digunakaké ing masarakat.

Nanging, ing basa Inggris, tembung iki bisa uga digunakaké kanggo nyebut wong kang ora bisa diwaca, utawa wong kang ora bisa maca, utawa wong kang ora bisa maca.

Apa tegese skor

Persén sing padha iku persentase tembung-tembungmu kang ana ing ukara kang disambungake karo sumber sing dijupuk. Bandha-bandha - 0-5% katon asli, 6-20% ana sing padha, 21%+ ana sing padha sing signifikan - iku pedoman review kang dikalibaraké kanggo prosa biasa, ora ambang akusisi. Laporan 4% bisa uga ngandhut paragraf sing disalin kanthi lengkap sing patut dirampungake; laporan 25% saka materi sing dikutip kanthi bener bisa dadi karya sing jujur.

Ing jaman saiki, ana akeh cara kanggo nglacak informasi, nanging ora ana cara sing bisa dikonfirmasi kanthi akurat, amarga ora ana bukti.

Results are indicative, not conclusive. We compare your text against publicly accessible web pages at the moment you run the check. We cannot detect matches in sources that are offline, paywalled, unindexed, or held in private databases (including academic submission archives). Common phrases, correctly quoted material, and coincidental wording can appear as matches. Use this report as a guide for review and citation - not as standalone proof that text was or was not plagiarized.

Takon kang asring diajukake

Two phases. First we sample distinctive word sequences from your text and search them on the live web as exact phrases. Then we download every candidate page and align every sentence of your text against the page’s real content locally - exact matches by rolling word-window comparison, near matches by token overlap and edit similarity. Search results alone are never trusted as matches; only verified text comparison counts.

When the source is not on the public web at check time: paywalled journals, offline books, private submission archives, pages published minutes ago that search engines have not indexed, or content behind logins. Heavily paraphrased text can also fall below the near-match threshold. No web-based checker escapes these limits; we would rather tell you than let a 0% mislead you.

Correctly quoted passages, common stock phrases, technical boilerplate, legal or religious formulae, and bibliographies all legitimately match their sources. The report separates exact from near matches and shows the source text beside yours so a human can make the call - the score is an instrument reading, not a judgment.

It is the share of your words that sit in sentences we matched to a retrieved source: matched-sentence words divided by total words. The gauge bands are 0-5% "looks original", 6-20% "some matches - review citations", 21%+ "significant matching". The bands are review guidance, not accusation thresholds.

The interface runs in 100+ languages, and the engine itself is multilingual: sentence segmentation handles Latin, CJK and Arabic punctuation, and retrieval uses engines with strong non-English coverage. Match quality is best in languages with a large public web footprint; for very small languages, coverage is honestly thinner.