Analisis Big Data untuk Intervensi Kesehatan Masyarakat

Selasa (25/4/2017), Departemen Biostatistika dan Kependudukan Fakultas Kesehatan Masyarakat Universitas Indonesia (FKM UI) menyelenggarakan Kuliah Umum Big Data dengan tajuk “Big Data Analysis for Public Health Intervention” di Ruang Promosi Doktor, FKM UI.

Kuliah umum ini bertujuan untuk memberikan pengenalan terkait big data, konsep bisnis analis, pemanfaatan big data dalam bidang kesehatan masyarakat dan penelitian di bidang kesehatan masyarakat, serta pengenalan aplikasi dalam pengolahan big data.

Kuliah umum menghadirkan dua pembicara yang ahli dalam bidang ini yakni dr. Iwan Ariawan, MSPH, yang merupakan lulusan Master of Science in Public Health dari University of California, Los Angeles dan merupakan Staf Pengajar Pemodelan Statistik dan Manajemen Data dengan Komputer di FKM UI serta Dr. Herwanto, S.Kom, M.Si, yang merupakan IT Manager di PT Pertamina Bina Medika, dan dimoderatori oleh Dr. Besral, SKM, M.Sc yang merupakan Ketua Departemen Biostatistika dan Kependudukan FKM UI.

Dr. Herwanto, S.Kom, M.Si, yang menjadi pembicara pertama dalam kuliah umum kali ini memberikan materi terkait “Big Data Analytics: Tools dan Aplikasinya”. Sebagai seorang praktisi ia menjelaskan secara aplikatif bagaimana penggunaan tools dan aplikasi dalam pengolahan big data.

Di dalam materinya, Herwanto menjelaskan bahwa big data merupakan istilah untuk data sangat besar dan kompleks yang tidak dapat dikelola (capture, store, manage, analyze) dengan software dan tool pemrograman database biasa/konvensional. Selama ini, analisis data biasanya hanya mengenal suatu software tertentu hanya digunakan untuk satu jenis data saja, tetapi dalam kuliah umum Herwanto menjelaskan cara penggunaan Hadoop suatu aplikasi yang dapat digunakan untuk mengolah data numeric, teks, dan image sekaligus.

Sementara dalam sesi materi kedua, dr. Iwan Ariawan, MSPH menyampaikan materi terkait “Pemanfaatan Big Data dalam Kesehatan Masyarakat”. Pendekatan kesehatan masyarakat sudah sejak lama memanfaatkan data. Mengumpulkan data tentang kejadian yang sudah terjadi dan membuat kesimpulan berdasarkan pola yang ada pada data tersebut.

Menurut dr. Iwan, dalam kesehatan masyarakat kita terutama tertarik terhadap perilaku dan perubahan perilaku dari masyarakat, institusi kesehatan, tenaga kesehatan dan politisi. Ketersediaan data yang besar dan cepat dari segala sumber merupakan alat yang bermafaat untuk kesehatan masyarakat. Tetapi, ketersediaan big data juga memberikan tantangan tersendiri dalam pemanfaatannya.

Tantangan pemanfaatan big data dalam Kesehatan Masyarakat ini antara lain ketersediaan dan akses data, struktur dan klasifikasi data, privasi dan kerahasiaan data perorangan, serta bias dalam analisis faktor risiko. Sehingga para pelaku profesi Kesehatan Masyarakat harus berhati-hati dalam menggunakan big data.

Pada akhir kuliah umum, moderator menyimpulkan bahwa jumlah data yang telah dibuat dan disimpan pada tingkat global hari ini hampir tak terbayangkan jumlahnya. Data tersebut terus tumbuh tanpa henti. Sayangnya sampai saat ini, baru sebagian kecil data yang telah dianalisis. Pentingnya big data, tidak hanya seputar pada jumlah data yang di miliki, tetapi hal yang penting adalah bagaimana mengolah data-data tersebut untuk pengambilan keputusan.


12 Sites That Will Teach You Coding for Free

There was a time when knowing how to program was for the geekiest of geeks. That’s not exactly the case today. As most entrepreneurs, freelancers and marketers will tell you, learning how to program can help you succeed. Over the past year, I’ve been learning to code. It’s helped me to become a much better entrepreneur — I can dive in when my team needs to fix a few bugs on the site.

You don’t even need to shell out a ton of money or put yourself in debt to learn how to code, either. These 12 places offer coding courses for free:

1. CodeAcademy
One of the most popular free places to learn coding is CodeAcademy. In fact, more than 24 million people have already learned how to code through this educational company’s engaging experience. At CodeAcademy, you can dive right in and take courses that teach you everything from HTML & CSS, JavaScript, jQuery, PHP, Python and Ruby.

Related: Want to Take Your Business to the Next Level? Boost Your Marketing and Coding Skills.

2. Coursera
Founded in 2012, Coursera has grown into a major for-profit educational-technology company that has offered more than 1,000 courses from 119 institutions. While you can pay for certain programs to receive a certificate, there are a number of free introductory programming courses in various specializations from universities such as the University of Washington, Stanford, the University of Toronto and Vanderbilt.

3. edX
EdX is another leading online-learning platform that is open source instead of for-profit. It was founded by Harvard University and MIT in 2012, so you know that you’ll learn about cutting-edge technologies and theories. Today, edX includes 60 schools. You probably can’t go wrong with the free Introduction to Computer Science from Harvard University.

4. Udemy
Founded in 2010, Udemy is an online learning platform that can be used as a way to improve or learn job skills. While there are courses you have to pay for, there are plenty of free programming courses, which are taught via video lessons, such as Programming for Entrepreneurs – HTML & CSS or Introduction to Python Programming.

5. aGupieWare
AGupieWare is an independent app developer that surveyed computer-science programs from some of the leading institutions in the U.S. It then created a similar curriculum based on the free courses offered by Stanford, MIT, Carnegie Mellon, Berkeley and Columbia. The program was then broken into 15 courses: three introductory classes, seven core classes and five electives.

While you won’t actually receive credit, it’s a perfect introductory program for prospective computer programmers.

6. GitHub
Sometimes, you need to recall a reference book when you’re stuck on a problem. That’s GitHub. You can find more than 500 free programming books that cover more than 80 different programming languages on the popular web-based Git repository hosting service, which means that it’s frequently updated by collaborators.

7. MIT Open Courseware
If you’ve already learned the basics, and went to get into something a bit heavier — such as exploring the theory behind coding — take advantage of MIT’s free courseware site that includes classes such as Introduction to Computer Science and Programming, Introduction to Programming in Java and Practical Programming in C.

Related: GitHub Is Said to Hit $2 Billion Valuation With New Investment Round

8. Hack.pledge()
This is a community of developers, which include some high-profile developers such as Bram Cohen, the inventor of BitTorrent. There, you can perfect your programming skills by learning from some of the leading developers in the world.

9. Code Avengers
Based out of New Zealand, Code Avengers provides fun and interactive programming courses that will teach you how to code games, apps and web sites using JavaScript, HTML and CSS. Each course takes just 12 hours to complete and is available in English, Russian, Dutch, Spanish, Italian, Turkish and Portuguese.

10. Khan Academy
Created in 2006 by educator Salman Khan, Khan Academy is one of the original free online-learning institutions. With step-by-step video tutorials, you can learn how to program drawings, animations and games using JavaScript and ProcessingJS, or learn how to create webpages with HTML and CSS.

11. Free Food Camp
Here you’ll learn HTML5, CSS3, JavaScript, Databases, DevTools, Node.js, Angular.js and Agile by networking and joining a community of professionals and students. You’ll even work together on your coding skills so that you can build apps for free. Here’s the catch: you’re learning those skills and building helps to help solve real-world problems. Code is available to nonprofits.

12. HTML5 Rocks
This Google project launched in 2010 to counter Apple’s HTML5. The site is full of tutorials, resources and the latest HTML5 updates. It’s open source, so developers can play around with HTML5 code. Because this is more advanced than most introductory courses, you may want to gain some knowledge and experience before jumping in.

Learning code used to require access to expensive books and classes, but no longer. I highly recommend that every entrepreneur learns to code. Still wondering if you need to code? Here is a programmer guide I put together to show you every step I took to become an entrepreneur that codes!


Estimating Numbers of Orphans and Vulnerable Children – A Test of Regression Modeling

An earlier study reported a tight linear fit between national adult HIV prevalence and the percentage of children living in a household with at least one HIV-positive adult. MEASURE Evaluation extended this analysis to all existing DHS data sets with HIV testing, to determine the feasibility of using regression modeling to estimate the size of two priority groups: (1) children living with at least one adult who is HIV-positive, and (2) orphans and coresident children living with at least one adult who is HIV-positive.

At the national level, we found reasonably tight linear relationships between HIV prevalence among adults and the proportion of children living with at least one HIV-positive adult and between adult HIV prevalence and the proportion of orphans and coresident children living with at least one HIV-positive adult. However, at the subnational level, owing to small sample sizes, we found greater variation at the same level of HIV prevalence in the proportion of children living with an HIV-positive adult. Although the slopes and intercepts of the national and subnational regression lines are almost the same, the confidence intervals for the subnational level estimates are very wide and many data points fall outside the prediction.

PEPFAR has given priority for OVC programs to 21 countries. Of these, 17 have a recent biomarker survey: Burundi, Cameroon, Cote d’Ivoire, Democratic Republic of Congo, Ethiopia, Haiti, Kenya, Lesotho, Malawi, Mozambique, Namibia, Rwanda, Swaziland, Tanzania, Uganda, Zambia, and Zimbabwe. For these countries, we recommend using the results of our secondary DHS analyses for programmatic estimates. Our Excel workbook (OVC estimates from DHS, available here: includes point estimates and 95-percent confidence intervals at both the national and subnational levels of the proportions of children who live in a household with an HIV-positive adult and the proportion of children who are orphans or coresident children living in a household with an HIV-positive adult, and extrapolates the observed proportions to numbers of children.

At present, four countries in the PEPFAR OVC portfolio do not have a recent DHS survey with HIV testing: Botswana, Nigeria, South Africa, and South Sudan. For these countries, the linear regression is a reasonable way to estimate at the national level the proportion of children who live in a household with an HIV-positive adult and the proportion of children who are orphans or coresident children living in a household with an HIV-positive adult. We have created an Excel workbook to predict these two indicators at the national level and to extrapolate the predicted proportions to numbers of children (OVC estimation calculator, available here:


Integrasikan Jaringan Telekomunikasi, UI Jalin Kerja Sama dengan PT JPI

Jumat, (31/3/2017) di ruangan Rapat A Pusat Administrasi Universitas (PAU) PT. Jaringan Pintar Indonesia (JPI) menandatangani perjanjian kerja sama dengan UI dalam hal jasa telekomunikasi.

Perjanjian ini diadakan dalam rangka mengintegrasikan seluruh jaringan provider yang bekerja sama dengan UI dalam satu wadah.

“Ini dalam rangka efektifitas dan efisiensi. Nanti jadinya kami bila ingin mengatur provider-provider ini hanya cukup menghubungi pihak JPI, tidak perlu satu-persatu ke providernya,” ungkap Dr. Ir. Dodi Sudiana M.Eng, Direktur Kerjasama UI.

Selain itu, rencananya juga akan dibangun micro cell di UI dalam rangka meningkatkan area coverage jaringan telekomunikasi di UI.

Microcell adalah seperangkat pemancar yang digunakan dalam menambah kapasitas jaringan di daerah dengan tingkat penggunaan telepon yang sangat padat, seperti stasiun kereta api, mall, ataupun area perkantoran.

Microcell juga dipergunakan untuk mendukung teknologi 4G LTE yang membutuhkan kapasitas data yang sangat lebar dan tanpa putus.

“Tujuan besarnya adalah tidak ada lagi area di UI yang tidak terjangkau jaringan internet,” tambah Dodi


Kodok, Makhluk Amfibi yang Hampir Punah

Research Center for Climate Change (RCCC) UI mengundang Prof. Sathyabhama Das Biju, seorang herpetologi terkenal dari University of Delhi, untuk memberikan kuliah umum yang berjudul “What Is in A Species? Frog Discoveries and Conservation”.

Kuliah umum yang berlangsung di Ruang Apung Perpustakaan UI Depok ini bertujuan untuk mengajak peserta yang hadir untuk mencintai kodok dan memahami permasalahan yang dihadapi makhluk amfibi ini. Continue reading “Kodok, Makhluk Amfibi yang Hampir Punah”


How to Help Community-Based mHealth Programs Collect High-Quality Data

As health programs are relying more on decentralized models of care, mHealth has made it easier to collect, manage and store community-level health data. This data can feed into national health information systems and be used to inform decision making for improved service delivery at the community level. But how can we ensure that our community-based mHealth programs are collecting accurate, high-quality data that will help us deliver the right services to the right places at the right time?

We at MEASURE Evaluation have developed the mobile community based health information system (CBHIS) data quality assessment toolkit to allow programs and projects to rapidly assess the ability of their mobile data systems to collect, manage, and report high-quality community-based data. We recently had the opportunity to present our toolkit for the first time to a group of participants at the MERL Tech Conference.

Our toolkit consists of a set of guidelines along with related assessment items that are housed in a Microsoft Excel workbook. The toolkit covers four main themes:

Designing mobile data forms and platforms to ensure quality data. Building in components such as skip logics, automated calculations, and data validations in your data collection workflow can increase the accuracy and completeness of data.
Empowering health workers and their supervisors to build accountability and ownership for data quality. We recognize that humans are at the crux of data collection and supportive feedback and motivation is required to engender high data quality.
Ensuring a functional data management and reporting system
Verifying the validity of data collected via a mobile device through a community trace and verify process
Themes 1-3 have an assessment component in which assessment items are scored as 1 (No, not at all), 2 (Partly), and 3 (Yes, completely). To complete the assessment, a team will conduct office and community visits with mobile CBHIS program implementers to carry out document reviews and interviews. The assessors will observe the implementation and use of mobile CBHIS, and interview community-based data collectors and key informants (such as mobile application developers, field engineers, mHealth specialists, and M&E officers) to answer relevant assessment statements.

These responses can be entered directly into a Microsoft Excel workbook, where a dashboard with graphic summaries of scores is generated. Programs can use these scores to identify areas of strengths and weaknesses and come up with an action plan to address any issues in their system, monitoring progress over time.