About Us & Our Offer


About Bedugul Coffee

Tastes somewhere between heaven and earth. Pure Bali Robusta Coffee. Probably the best robusta coffee in the world. Perhaps it is not widely known, but some coffee are blended. Not just arabica with robusta (which is very common), but sometimes a coffee is blended with corn or rice.

What we have is pure robusta coffee from Bali. Hand picked, hand sorted, traditionally roasted and ground by the natives of Bali.

While many people prefer arabica, and many insist that arabica is more superior to robusta, we dare to say that our Bedugul Robusta is not just another robusta, but special robusta with a mild and soft taste, yet bitter, and simply different from any other coffee in the world.

If there is a phrase "don't die before you see Bali", we have a phrase for our coffee, "once you taste it, you'll live forever".

Nevertheless we also supply high grade and best quality arabica from Sumatra (Siborong borong), Aceh (Berg en Dal variety), and Toraja (Sulawesi).

Our brand name is Bedugul Coffee, a beautiful highland in the northern part of Bali, Indonesia.

Fact: the name Bedugul is not as famous as Kintamani for coffee products ... so ... we just (made it up) picked up the name, because we love the place, famous for its iconic temple by the lake Bratan, the Pura Ulun Danu. About our Bali Robusta Coffee ? We didn't made it up, it is truly MADE IN BALI.

If you want to know more about Bedugul, the town, read here.

Contact
Name: Putranto S. a.k.a. Raja Kelana
E-mail: putrantos@gmail.com
Facebook Cause : Bedugul Coffee
Whatsapp: +62 838 7437 3403

Photo Gallery of our coffee plantation in Bali

Perkebunan Kopi



Dengan Hormat,

Yang terhormat Bapak/Ibu/Saudara pengusaha kopi di Indonesia. Kami sedang mengumpulkan informasi / data tentang lokasi-lokasi perkebunan kopi di seluruh Indonesia.

MAKSUD & TUJUAN

1. Tujuan dari angket ini semata-mata untuk membangun suatu database yang nantinya kami harapkan akan sangat bermanfaat dan dibutuhkan oleh para buyers kopi, dari dalam maupun luar negeri. Sehingga mereka tidak perlu mencari informasi tentang kopi ke banyak sumber di internet.

2. Kami ingin mengajak para wisatawan / penggemar kopi berkunjung ke kebun Anda. Untuk itu kami butuh informasi tentang lokasi, contact person, dll.

Informasi tentang kopi disini kami anggap tidak bersifat rahasia, namun demikian kami menjaga privasi Anda, dan tidak akan menyalahgunakan data / informasi pribadi (seperti email pribadi) yang sudah Anda masukkan melalui form ini.

Sebelumnya, kami sampaikan terimakasih sebesar-besarnya atas partisipasi dan kesediaan Anda untuk mengisi formulir dibawah ini.

Salam Sejahtera Selalu !

Hormat Kami,

Admin Preanger Koffie

Apabila ragu atau ada yang ingin ditanyakan, silahkan hubungi kami di +62 838 7437 3403 atau email bedugulcoffee@gmail.com.









Investment Collaboration Inquiry

Dear Sir/Madam,

My name is Mr Fahad Khan, and I represent a private investor who is actively seeking viable projects and companies for potential investment, with a focus on sustainable and competitive returns.

Our investor is willing and prepared to allocate funds to well-structured projects with strong fundamentals. If you have an investment opportunity or project that requires funding, please share a concise project summary or investment proposal for us to look over.

Should your proposal meet our investors' criteria, we will be pleased to proceed with further discussions and outline the necessary steps toward funding.

I look forward to hearing back from you.

Kind regards,
Fernando Apaz
EU-Credit Facilitator
Financial Broker & Consultant
Email: fapaz.ksb@gmail.com


ICE struggles to vet recruits

RAG in SEO Explained: The Engine Behind Google's AI Overviews

Retrieval-Augmented Generation (RAG) is the specific framework that allows Large Language Models (LLMs) to fetch external data before writing an answer. In my SEO consulting work, I define it as the bridge between a static AI model and a dynamic search index. This technology powers Google's AI Overviews and stops the model from hallucinating by grounding it in real facts. Unlike standard keyword-based crawling, retrieval in this context specifically refers to neural vector retrieval, which matches the semantic meaning of a query to a database of facts rather than simply matching text strings.

The process works by replacing simple keyword matching with Vector Search. When a user asks a complex question, the system does not just look for matching words. It scans a Vector Database to find conceptually related text chunks. The Retriever acts like a research assistant that pulls specific paragraphs from trusted sites and feeds them into the Generator. This means your content must be structured as clear facts that an AI can easily digest and cite. If your site contradicts the consensus found in the Knowledge Graph, the RAG system will likely ignore you.

Google uses this to create synthesized answers that often result in Zero-Click Searches. Consequently, you must optimize for entity salience and clear Subject-Predicate-Object syntax. This shift has birthed Generative Engine Optimization (GEO). My data shows that pages using valid Schema Markup are significantly more likely to be retrieved as grounding sources. You must treat your website less like a brochure and more like a structured database.

On the production side, smart SEOs use RAG to build Programmatic SEO workflows. We connect an LLM to a private database of brand facts, allowing us to generate thousands of accurate, compliant landing pages at scale without the risk of AI making things up. We are shifting from a search economy to an answer economy. To survive this shift, you must audit your data structure today. If your content is hard for a machine to parse, you will lose visibility in the AI-driven future. More on - https://www.linkedin.com/pulse/what-rag-seo-bridge-between-large-language-models-search-nicor-fdimc/

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SERP Interface Evolution: A Technical History of the Shift from Links to Answers

The history of search engine results page evolution charts a clear technical trajectory from a passive directory to an active answer engine. In 1998, the Google Beta interface defined the internet through the "Ten Blue Links" standard. This minimalist design relied on the PageRank algorithm to route traffic, treating the search engine strictly as a conduit rather than a destination. That architectural philosophy shifted in 2000 with the launch of Google AdWords, which monetized the right rail and established the F-shaped scanning pattern that dominated user behavior for a decade.

Universal Search in 2007 marked the first major disruption to the document-only model. By blending vertical results like video, news, and images into the organic feed, Google destroyed content silos. This integration fundamentally altered pixel real estate, pushing traditional text results below the fold and proving that users wanted mixed media. The algorithm moved beyond simple keyword matching to understanding content formats.

The semantic revolution arrived in 2012 with the Knowledge Graph. This database update allowed the engine to recognize entities as distinct objects with attributes. The resulting Knowledge Panels reduced organic click-through rates by providing instant facts, marking the beginning of the zero-click era. Mobile-First Indexing in 2018 further constrained the layout, removing the sidebar and forcing all features into a single, infinite-scrolling column.

Today, the interface has entered the predictive era with AI Overviews. Unlike Featured Snippets which extract text, these generative models synthesize novel answers from multiple sources. This evolution signifies a structural move from Information Retrieval to Information Synthesis. SEO strategy must now focus on Entity Salience to guarantee content is understood by the machine, as the SERP is no longer just a list of links but a dynamic dashboard of generated solutions. The metric of success has shifted from mere visibility to citation within the answer layer.

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Trump hails ‘golden age’