<![CDATA[INFIMAP - Articles]]>Sat, 03 Oct 2020 20:11:34 -0700Weebly<![CDATA[Sicovid-19 untuk Indonesia]]>Thu, 09 Apr 2020 02:49:44 GMThttp://infimap.id/articles/sicovid-19-untuk-indonesia
SICOVID-19 adalah dashboard yang dikembangkan oleh Tim Riset Infimap dan berkolaborasi dengan Departemen Geografi FMIPA UI.

Pada dashboard ini kami memetakan wilayah rawan penyebaran infeksi COVID-19 dengan dasar kepadatan penduduk melalui model People in Pixel dan Percent Building Density yang sudah dipublikasikan oleh Infimap.

Hal ini merupakan wujud kontribusi kami dalam keterbukaan data spasial agar dapat menjadi dasar prioritas penanganan pandemi global yang angka pasien positifnya sudah cukup mengkhawatirkan di Indonesia, khususnya di kota kota padat.

Estimasi jumlah penduduk terpapar COVID-19 dihitung dari analisis overlay antara peta zona rawan COVID-19 dengan peta kepadatan penduduk per piksel. Kepadatan penduduk per piksel dihasilkan dari turunan data kepadatan bangunan (Percent Building Density) yang diolah dari citra satelit serta dikalibrasi dengan data PODES (Ardiansyah et.al., 2018). Zona kerawanan dibuat untuk 2 wilayah, yaitu Provinsi DKI Jakarta dan Provinsi Jawa Barat dengan berdasar pada akumulasi pasien POSITIF, PDP (Pasien Dalam Pengawasan), ODP (Orang Dalam Pemantauan) yang memiliki bobot berbeda-beda sesuai dengan Expert Judgement.

Data sebaran Coronavirus COVID-19 yang disajikan dalam peta merupakan data sebaran kasus per Kelurahan. Data ini diperoleh dari pengumpulan beberapa sumber yang telah dipublikasikan secara resmi dari lembaga resmi. Titik yang ditampilkan dalam peta merupakan titik tengah dari setiap Kelurahan dan tidak menunjuk pada posisi persis masing-masing kasus.
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<![CDATA[Infisea Launching!]]>Fri, 10 Jan 2020 08:00:00 GMThttp://infimap.id/articles/infisea-launching
We are honored and proud to say that our Satellite-Derived Bathymetry Data has been provided and delivered to PT Seven Gates Indonesia. We are also very glad that this announcement marks our Infisea product soft launching. Infisea is a Satellite-Derived Bathymetry Technology that minimalizes field measurement to map out the ocean floor (especially in shallow water). Our very own Co-Founder & CTO Dr. Eng. Masita Dwi Mandini Manessa is leading the development team for Infisea and we couldn't be happier to say that its first stage is a massive success!

​Thank you for our client, PT Seven Gates Indonesia, for taking part in checking and comparing our data to the real field measurement in several areas, resulting in a high accuracy comparison between real data and our data. We really appreciate it as it will help us to create a more accurate model in the future. For more information about Infisea, please feel free to contact us in
info@infimap.id
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<![CDATA[Infimap at LAPAN]]>Thu, 17 Oct 2019 07:00:00 GMThttp://infimap.id/articles/infimap-at-lapanLast week our Founder and CEO Weling Suseno, M.T. is presenting Infimap at Pusfatja Indonesian National Institute of Aeronanutics and Space (LAPAN) (Pusat Pemanfaatan Penginderaan Jauh) we present PT Infimap Geospasial Sistem products, services and knowledge regarding the wonders of Spatial Big Data utilization, Machine Learning for Spatial Data, and how companies can help research institution in spreading benefits and social impact to our country.

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<![CDATA[Our Co-Founder in action at SPIE Conference]]>Mon, 09 Sep 2019 07:00:00 GMThttp://infimap.id/articles/our-co-founder-in-action-at-spie-conferenceCongratulations on the speech! Our Co Founder and Chief of Tech, Dr. Eng. Masita Dwi Mandini Manessa
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<![CDATA[Upcoming conference at SPIE Remote Sensing Conference in Strasbourg France]]>Tue, 03 Sep 2019 03:33:05 GMThttp://infimap.id/articles/upcoming-conference-at-spie-remote-sensing-conference-in-strasbourg-franceOur Chief of Tech, Dr. Eng. Masita Dwi Mandini Manessa have been selected as speaker in smart cities theme at SPIE Remote Sensing Conference this September. She will be presenting Infimap latest research about People in Pixels!
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<![CDATA[Infimap Collaboration with Mapid]]>Fri, 19 Jul 2019 07:00:00 GMThttp://infimap.id/articles/infimap-collaboration-with-mapidWe are very excited to announce our strategic partnership with mapid.io! We have the vision to strengthen and collaborate our expertise in research, geo-artificial intelligence, geodata science, internet of things, and mapping platform in order to build a better future for Indonesia and proudly from Indonesia. Be prepared for our amazing geo-technology surprises!
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<![CDATA[Congrats to Our Partner! Kopi Gelas Kedua!]]>Mon, 24 Jun 2019 07:00:00 GMThttp://infimap.id/articles/congrats-to-our-partner-kopi-gelas-keduaStarting a business in this 4.0 industrial revolution era is not as easy as it seems. Online shops may look like a feasible option, but eventually, your business will grow larger and choosing a physical store location to directly interact with your market becomes a pivotal and monumental business decision.

PT Infimap Geospasial Sistem proudly presents Infimap Geobusiness, your trusted geo-data sources and geo-analytics partner for your business. Infimap Geobusiness will be your platform to find location insights in any area for your business, locate existing competitors around your desired area, and know more about your future customer in any area.

​As our pilot project, we are partnering with Kopi Gelas Kedua to determine their first two store opening in Kemang and Bintaro.
#KnowingWhere is the best and optimal location for a to-go coffee shop with various parameters is Infimap Geobusiness main expertise as we are supported by experienced and amazing GIS analysts & researchers. With this post, we'd like to congratulate Kopi Gelas Kedua for its outstanding start as it is being one of the most talked coffee shops across social media. Data source:
Pomci Maps
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<![CDATA[Percent Building Density of Urban Environment Paper Publication]]>Mon, 07 Jan 2019 08:00:00 GMThttp://infimap.id/articles/percent-building-density-of-urban-environment-paper-publicationWe are proud to announce that our researchers have published an international journal publications on Percent Building Density of Urban Environment in DKI Jakarta.

Read our paper here! ​https://jurnal.ugm.ac.id/ijg/article/view/36113
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