Teknik Jilid Buku dan Dokumen

Jilid Kawat (Saddle Stitch)

Gambar: yeoworkshop.com

Bagi orang awam, teknik jilid yang paling gampang dilakukan ini sering disebut juga dengan jilid staples. Namun, istilah jilid staples tidak biasa digunakan di dalam dunia percetakan. Istilah yang sering dipakai dalam dunia percetakan adalah jilid kawat. Teknik jilid ini biasa digunakan untuk menjilid buku atau dokumen dengan ketebalan yang tipis antara 4-80 halaman.

Dokumen yang dicetak dengan menggunakan teknik jilid kawat pada bagian tengah harus mempunyai kelipatan empat, jika tidak maka akan ada halaman yang kosong.Kenapa harus kelipatan 4? Karena kertas pada buku itu dilipat menjadi dua bagian lalu dijilid kawat di bagian tengahnya.

Loop Stitch

Gambar: calverts.coop

Teknik jilid ini pada prinsipnya hampir sama dengan saddle stitching. Bedanya, yaitu pada bagian luar buku, kawatnya melengkung membentuk suatu lubang. Fungsi kawat melengkung yang berlubang itu agar buku bisa dimasukkan dalam binder yang besar. Biasanya, jenis jilid ini dipakai di sebuah perusahaan yang mempunyai katalog banyak dan dikoleksi dalam satu binder.

Side Stitch/Sewn

Gambar: ezscrap.net

Teknik jilid ini dapat menggunakan bahan kawat atau benang. Berbeda dengan saddle stitching, proses jilid dilakukan dengan menjahit atau men-staples dari bagian sisi depan hingga tembus ke bagian belakang buku. Teknik ini dapat digunakan untuk menjilid dokumen yang lebih tebal.

Jilid Benang (Sewn Bind)

Gambar: formateditions.co.uk

Teknik penjilidan dengan menggunakan benang sering digunakan untuk keperluan cetak buku dengan hard cover. Jumlah halaman yang dijahit dengan menggunakan benang tergantung pada ketebalan kertas (gramatur). Semakin besar gramatur, maka semakin sedikit jumlah halaman yang dijahit. Seperti halnya saddle stitching, teknik sewn binding ini mempunyai jumlah halaman kelipatan empat karena buku terdiri dari kertas yang dilipat dan dijahit di bagian tengahnya.

Jilid Lem Panas (Perfect Bind)

Gambar: druckerei-ruess.de

Teknik jilid lem panas, sering digunakan untuk menjilid buku yang tebal. Kelebihan teknik jilid lem panas yaitu lebih kuat dibanding teknik jilid yang lain. Jilid lem panas, dapat dikombinasikan dengan teknik jilid lain, yaitu jilid benang atau jilid kawat.

Baca juga: Elemen-Elemen Desain Grafis

Tape Bind

Gambar: uclan.ac.uk

Teknik jilid ini menggunakan tape atau lakban hitam yang ditempel pada bagian tepi buku. Harga jilid ini cukup murah dan sering digunakan oleh anak-anak kuliah atau orang yang ingin menghemat biaya. Kelemahan dari teknik tape binding yaitu tidak awet alias mudah lepas jika lakbannya kurang lengket.

Screw Bind

Gambar: londonbookbinding.co.uk

Teknik jilid screw binding dilakukan dengan cara melubangi kertas dari depan hingga belakang kemudian memasukkan sekrup ke dalamnya lalu dikunci. Teknik ini sering digunakan untuk buku panduan warna.

Hardcover/Case Bind

Gambar: v2media.ae

Jilid hardcover dilakukan dengan cara menyusun buku yang telah dijahit sebelumnya lalu dilem pada bagian ujung kertas dan ditempelkan lagi pada punggung sampul hardcover. Teknik jilid hardcover merupakan standar yang sering dipakai pada penyusunan skripsi, karya ilmiah atau tugas akhir. Penggunaan hardcover pada buku juga bisa meningkatkan image buku tersebut.

Plastic Grip

Gambar: southwestbindings.com

Plastik penjepit merupakan bahan utama dari teknik penjilidan ini. Cara penjilidan ini cukup sederhana dan mudah yaitu dengan menyusun dokumen lalu dijepit di antara plastik hingga mencakup keseluruhan dokumen. Teknik ini dapat dikombinasikan dengan teknik side stitching atau men-staples bagian tepi dokumen sebelum dijepit agar lebih kuat.

Jilid Spiral (Comb Bind)

Gambar: dbs.umd.edu

Jilid spiral dengan bahan plastik biasa digunakan untuk penjilidan dokumen yang tidak terlalu tebal (di bawah 100 halaman). Biasanya, pada bagian sampul depan dan belakang ditambahi dengan lapisan plastik mika atau kertas berwarna agar terlihat lebih manis.

Jilid Spiral (Coil Bind)

Gambar: allionprinting.com

Berbeda dengan teknik jilid spiral sebelumnya, kali ini bahan yang digunakan terbuat dari coil. Jika menggunakan teknik jilid spiral, perhatikan jarak antara isi dengan tepi yang akan dijilid, agar teks atau gambar tidak terambil lubang spiral. Jenis dokumen yang cocok dengan teknik jilid spiral, misalnya lampiran untuk presentasi, kalender, katalog, dan lainnya.

Jilid Spiral (Wire O/Twin Loop Wire Bind)

Gambar: notbooknotbuk.com

Ciri khas dari teknik wire o bound yaitu bentuk kawatnya yang saling berpasangan. Dengan teknik ini, kertas atau isi buku memungkinkan untuk dibuka secara penuh. 

Beragam teknik jilid bisa dimanfaatkan untuk membuat dokumen-dokumen atau berkas-berkas menjadi lebih rapi. Untuk mempermudah proses penjilidan dokumen, kamu bisa memanfaatkan jasa penjilidan yang banyak ditawarkan di tempat-tempat fotokopi terdekat.

About

Sabbe Satta Bhavantu Sukhitatta – May all beings be well

During the past 18+ years jebe has built an extensive Marketing and Business Development skill set whilst working with a national with headquarter in Jakarta area, a distributor of office supply brand from Japan.

jebe has assisted many businesses in uncovering new business opportunities, hidden profits and new revenue streams by understanding their specific wants and needs when improved business processes, delivering profitable business whilst increasing customer loyalty.

http://www.jerukbali.com
https://id.linkedin.com/in/henry-lo-1434a740
http://jebedotnet.duoservers.com/

Sabbe Satta Bhavantu Sukhitatta – May all beings be well

During the past 18+ years jebe has built an extensive Marketing and Business Development skill set whilst working with a national with headquarter in Jakarta area, a distributor of office supply brand from Japan.

jebe has assisted many businesses in uncovering new business opportunities, hidden profits and new revenue streams by understanding their specific wants and needs when improved business processes, delivering profitable business whilst increasing customer loyalty.

http://www.jerukbali.com
https://id.linkedin.com/in/henry-lo-1434a740
http://jebedotnet.duoservers.com/

Marketing Accelerator – The Road to Success

The Industry is being transformed by the convergence of new technologies such as computing, imaging, communications, database marketing, the internet and data technology. Customer expectations are changing along with it. Speed of business continues to increase.

Customers today are looking to gain competitive advantage in every way they can in their respective industries. Not surprisingly, to drive results and increase productivity and profitability, they are demanding advanced services from their providers, and as a result, more services once considered premium are now though of as business as usual.

This resources is designed to help you create a detailed marketing plan based on the unique capabilities of your business and the demands of your potential customers.

Before we start, please take a glace look at your industry trends that will impact the way you will do business in the future. This resources will just help you provide essential background for creating the marketing plan that will put you on the fast lane to success.

This resources will share about:

• Marketing Plan overview and structure
• Creating a business summary
• Choosing the right goals and objectives
• Sizing up the competition
• The 4 P’s: Product, Pricing, Placement, Promotion
• Major marketing tactics

(to be continued)

Managed Print Services for Small and Medium Businesses

What is Managed Print Services?

What is “managed print services” (MPS)? The managed print services definition is broad, but the end result is simple: gaining visibility and control of your printing, which helps you save money and boost productivity. Managed print also helps you improve environmental sustainability and document security.

By “printing,” we mean the total cost of managing and optimizing your printers, their output, and the people and processes that support these devices. 

This includes:

• Pages produced by office workers, mobile workers and production print operations
• Office desktop printers, multifunction printers, copiers, scanners, fax machines and high-volume printers
• Materials sent out for quick printing, offset printing, mailing and distribution
• IT help desk support, technical service, maintenance, and add, move and change requests
• Paper, ink, toner and other supplies and consumables

Add up the costs of “printing” and it accounts for a large chunk — as much as 15% of a business’s annual spending. Through managed print services, you can outsource print management and cut costs by as much as 30%.

The best managed print services companies do more than just oversee your printers, they also:

• Conduct a thorough, up-front assessment to analyze your current printing infrastructure.
• Monitor, manage and optimize your total print output environment, end to end, regardless of printer brand.
• Provide a roadmap to reduce the number and types of printing devices and supplies while meeting the needs of your business.
• Proactively identify and solve potential printing problems and replenish supplies before employees are affected.
• Reduce your environmental footprint through printing less paper, consuming less energy, generating fewer greenhouse gases and keeping waste out of landfills.
• Give telecommuters and mobile workers easy and secure printing access.
• Continuously monitor your printing environment and use ongoing process improvements to save you time and money.
• Provide network management and information technology (IT) integration, from platform support to cloud-based solutions.
• Train your employees for a smooth transition through change management so they are more satisfied and productive.
• Have a proven track record in deploying managed print services anywhere in the world through a global network of highly skilled experts.
• Turn slow, paper-based processes (like routing and approvals) into automated, digital ones.

Like most companies, you probably under-estimate how much you spend on printing and how much time your staff spend managing it. Managed Print Services can help companies of all sizes by:

• Reducing your printing costs – by as much as 30%
• Cutting your capital expenditure
• Increasing the productivity of your IT resources and your print users

Form Processing

In the course of our lives we fill out hundreds of forms, including — application forms, questionnaires, insurance claims, etc. At the same time computers have become indispensable for collecting and managing information, making the task of extracting data from printed documents even more pressing.

Forms processing is a procedure whereby information entered into data fields is captures into electronic form:

• Entered data are “captured” from their respective fields;
• The forms themselves are digitized and saved as images.
  In most cases forms processing is considered complete when the data from all the forms have been captured, verified and saved into a database. There are only two approaches to data collection from paper forms:
• to involve many people in manually keying in data;
• to start using automated forms processing software.

Manual data entry is boring and troublesome. It implies many problems, such as delays in data capture, a great number of operator typos, high labor costs, equipment expenditures, rental charges, etc. All of these costs are avoidable with the help of a data capture and forms processing software.

How Data Capture works

• A batch of completed forms is scanned using a high-speed scanner (Usually scanners that scan at least 10 pages per minute are used);
• Most of the data are recognized automatically;
• Characters about which the program is uncertain are passed on to a human operator;
• Verified data are saved into a database.

Forms Processing Scheme
Data Capture interprets machine-print (OCR), isolated hand print (ICR), including alpha and numeric, mark sense (OMR) and barcodes from paper forms gathered from a scanner or a fax machine.

Data Capture interprets data from paper forms many times faster and much more accurately than any professional operator, enabling you to collect data in an efficient and secure way. It is noteworthy that the entire process requires only one human operator, since all of the stages, except verification, are fully automated. Neither manual sorting nor checking for missing pages is required, since Data Capture can identify forms and select the matching template.

Data Capture is a highly scalable system that can be set up in either Standalone or Distributed configuration processing up to 1 000 000 forms per day * and satisfy any business requirements.

Finally, the extracted data looks exactly like the data you get from your current manual system, but you get it faster, and the captured content is more accurate and reliably correct, which is undoubtedly critical to your business. The department involved in data input is now well controlled, perfectly compact, and scalable to be able to process forms in bulk in any quality.

Hadoop & Big Data

Apache Hadoop™ was born out of a need to process big data. The web was generating more and more information on a daily basis, and it was becoming very difficult to index over one billion pages of content. In order to handle, Google invented a new data processing known as MapReduce. A year after Google published a white paper describing the MapReduce framework, Doug Cutting and Mike Cafarella, inspired by the white paper, created Hadoop to apply these concepts to an open-source software framework to support distribution for the Nutch search engine project. Given the original case, Hadoop was designed with a simple write-once storage infrastructure.

Hadoop has moved far beyond its beginnings in web indexing and is now used in many industries for a huge variety of tasks that all share the common theme of lots of variety, volume and velocity of data – both structured and unstructured. It is now widely used across industries, including finance, media and entertainment, government, healthcare, information services, retail, and other industries with big data requirements but the limitations of the original storage infrastructure remain.

Hadoop is increasingly becoming the go-to framework for large-scale, data-intensive deployments. Hadoop is built to process large amounts of data from terabytes to petabytes and beyond. With this much data, it’s unlikely that it would fit on a single computer’s hard drive, much less in memory. The beauty of Hadoop is that it is designed to efficiently process huge amounts of data by connecting many commodity computers together to work in parallel. Using the MapReduce model, Hadoop can take a query over a dataset, divide it, and run it in parallel over multiple nodes. Distributing the computation solves the problem of having data that’s too large to fit onto a single machine.

Hadoop Software

The Hadoop software stack introduces entirely new economics for storing and processing data at scale. It allows organizations unparalleled flexibility in how they’re able to leverage data of all shapes and sizes to uncover insights about their business. Users can now deploy the complete hardware and software stack including the OS and Hadoop software across the entire cluster and manage the full cluster through a single management interface.

Apache Hadoop includes a Distributed File System (HDFS), which breaks up input data and stores data on the compute nodes. This makes it possible for data to be processed in parallel using all of the machines in the cluster. The Apache Hadoop Distributed File System is written in Java and runs on different operating systems.

Hadoop was designed from the beginning to accommodate multiple file system implementations and there are a number available. HDFS and the S3 file system are probably the most widely used, but many others are available, including the MapR File System.

How is Hadoop Different from Past Techniques?

Hadoop can handle data in a very fluid way. Hadoop is more than just a faster, cheaper database and analytics tool. Unlike databases, Hadoop doesn’t insist that you structure your data. Data may be unstructured and schemaless. Users can dump their data into the framework without needing to reformat it. By contrast, relational databases require that data be structured and schemas be defined before storing the data.

Hadoop has a simplified programming model. Hadoop’s simplified programming model allows users to quickly write and test software in distributed systems. Performing computation on large volumes of data has been done before, usually in a distributed setting but writing software for distributed systems is notoriously hard. By trading away some programming flexibility, Hadoop makes it much easier to write distributed programs.

Because Hadoop accepts practically any kind of data, it stores information in far more diverse formats than what is typically found in the tidy rows and columns of a traditional database. Some good examples are machine-generated data and log data, written out in storage formats including JSON, Avro and ORC.
The majority of data preparation work in Hadoop is currently being done by writing code in scripting languages like Hive, Pig or Python.

Hadoop is easy to administer. Alternative high performance computing (HPC) systems allow programs to run on large collections of computers, but they typically require rigid program configuration and generally require that data be stored on a separate storage area network (SAN) system. Schedulers on HPC clusters require careful administration and since program execution is sensitive to node failure, administration of a Hadoop cluster is much easier.

Hadoop invisibly handles job control issues such as node failure. If a node fails, Hadoop makes sure the computations are run on other nodes and that data stored on that node are recovered from other nodes.

Hadoop is agile. Relational databases are good at storing and processing data sets with predefined and rigid data models. For unstructured data, relational databases lack the agility and scalability that is needed. Apache Hadoop makes it possible to cheaply process and analyze huge amounts of both structured and unstructured data together, and to process data without defining all structure ahead of time.

Why use Apache Hadoop?

It’s cost effective. Apache Hadoop controls costs by storing data more affordably per terabyte than other platforms. Instead of thousands to tens of thousands per terabyte, Hadoop delivers compute and storage for hundreds of dollars per terabyte.

It’s fault-tolerant. Fault tolerance is one of the most important advantages of using Hadoop. Even if individual nodes experience high rates of failure when running jobs on a large cluster, data is replicated across a cluster so that it can be recovered easily in the face of disk, node or rack failures.

It’s flexible. The flexible way that data is stored in Apache Hadoop is one of its biggest assets – enabling businesses to generate value from data that was previously considered too expensive to be stored and processed in traditional databases. With Hadoop, you can use all types of data, both structured and unstructured, to extract more meaningful business insights from more of your data.

It’s scalable. Hadoop is a highly scalable storage platform, because it can store and distribute very large data sets across clusters of hundreds of inexpensive servers operating in parallel. The problem with traditional relational database management systems (RDBMS) is that they can’t scale to process massive volumes of data.