Profil Singkat Angga Akbar

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Angga Akbar

(He/Him) koneksi tingkat ke-3 Ke-3

Digital Solution Consultant

Jakarta, Jakarta Raya, Indonesia

TentangTentang

Has a strong interest in tourism, outdoor activity, and social science.
A passionate traveler, who enjoys backpacking & outdoor activities and everything related to new experiences and exploration. Also interested in event organizer, community development and social work.Has a strong interest in tourism, outdoor activity, and social science. A passionate traveler, who enjoys backpacking & outdoor activities and everything related to new experiences and exploration. Also interested in event organizer, community development and social work.

AktivitasAktivitas

966 pengikut966 pengikut

• Angga Akbar memposting ini • 3mgg3mgg

  I’m happy to share that I’m starting a new position as Senior Office Energy and Resources!
• Angga Akbar membagikan ini • 3bln3bln

PengalamanPengalaman

• Senior Officer Energy and ResourcesSenior Officer Energy and Resources

  PT. Sigma Cipta Caraka (Telkomsigma) · PurnawaktuPT. Sigma Cipta Caraka (Telkomsigma) · Purnawaktu Nov 2022 - Saat ini · 2 blnNov 2022 - Saat ini · 2 bln Jakarta, IndonesiaJakarta, Indonesia
• Key Account Manager - Public SectorKey Account Manager - Public Sector

  ViBiCloud · PurnawaktuViBiCloud · Purnawaktu Jan 2022 - Okt 2022 · 10 blnJan 2022 - Okt 2022 · 10 bln
• Account Manager (Oil & Gas Sector)Account Manager (Oil & Gas Sector)

  PT Sisindokom Lintasbuana · PurnawaktuPT Sisindokom Lintasbuana · Purnawaktu Apr 2018 - Jan 2022 · 3 thn 10 blnApr 2018 - Jan 2022 · 3 thn 10 bln Greater Jakarta Area, IndonesiaGreater Jakarta Area, Indonesia
• PT. Mastersystem InfotamaPT. Mastersystem Infotama Purnawaktu 2 thn 6 blnPurnawaktu 2 thn 6 bln

  • Account Manager (Oil & Gas Sector)Account Manager (Oil & Gas Sector) Jan 2017 - Mar 2018 · 1 thn 3 blnJan 2017 - Mar 2018 · 1 thn 3 bln Greater Jakarta Area, IndonesiaGreater Jakarta Area, Indonesia
  • Sales EngineerSales Engineer Okt 2015 - Des 2016 · 1 thn 3 blnOkt 2015 - Des 2016 · 1 thn 3 bln Jabodetabek , IndonesiaJabodetabek , Indonesia

    • • Microsoft cloud solutionMicrosoft cloud solution
• Microsoft P-SellerMicrosoft P-Seller

  Microsoft · Paruh WaktuMicrosoft · Paruh Waktu Des 2015 - Feb 2017 · 1 thn 3 blnDes 2015 - Feb 2017 · 1 thn 3 bln Jabodetabek , IndonesiaJabodetabek , Indonesia

  • • Partner Sales Solution PartnerPartner Sales Solution Partner

PendidikanPendidikan

• Telkom UniversityTelkom University Bachelor’s Degree, Informatics engineeringBachelor’s Degree, Informatics engineering 2010 - 20152010 - 2015

  • Kegiatan dan masyarakat: Social activities, research, volunteering and student associationKegiatan dan masyarakat: Social activities, research, volunteering and student association

KeahlianKeahlian

• Marketing StrategyMarketing Strategy

  • Direkomendasikan oleh 2 kolega di ViBiCloudDirekomendasikan oleh 2 kolega di ViBiCloud
  • 20 rekomendasi keahlian20 rekomendasi keahlian
• Cloud ComputingCloud Computing

  • Direkomendasikan oleh 2 kolega di ViBiCloudDirekomendasikan oleh 2 kolega di ViBiCloud
  • 16 rekomendasi keahlian16 rekomendasi keahlian
• Solution SellingSolution Selling

  • Direkomendasikan oleh 2 kolega di ViBiCloudDirekomendasikan oleh 2 kolega di ViBiCloud
  • 17 rekomendasi keahlian17 rekomendasi keahlian

RekomendasiRekomendasi

Tidak ada apa-apa untuk saat iniTidak ada apa-apa untuk saat ini

Rekomendasi yang diterima Angga akan muncul di sini.Rekomendasi yang diterima Angga akan muncul di sini.

PublikasiPublikasi

• Multi-document Summarization Indonesia News with Conditional Random Fields (CRF)Multi-document Summarization Indonesia News with Conditional Random Fields (CRF)

  17 Jan 201517 Jan 2015

  • • Multi-document summarization is needed in order information retrieval can be done effectively dan efficiently. This summarization system uses extraction framework that has been widely used to summarize the documents, which is the results of the summarization use sentences that have been extracted from documents. Multi-document summarization can be done by looking at the information value of the sentences from document based on the features that are applied to the existing sentences. The features include the linguistic and statistical feature such as position of the sentence. Conditional Random Fields (CRF) is a probabilistic model to overcome the segmentation and labeling sequence data. CRF is used to combine the features to get a model which is used to predict the value of importance of each sentences. Feature that used are basic feature and complex feature. Accuracy of the system is measured by using F-Measure, by comparing summaries created by the system and summaries created by expert. The test results showed that the average accuracy of the system is around 62,5% with value of threshold set 0.45 where that values used to classificating summary sentences and non-summary sentences.Multi-document summarization is needed in order information retrieval can be done effectively dan efficiently. This summarization system uses extraction framework that has been widely used to summarize the documents, which is the results of the summarization use sentences that have been extracted from documents. Multi-document summarization can be done by looking at the information value of the sentences from document based on the features that are applied to the existing sentences. The features include the linguistic and statistical feature such as position of the sentence. Conditional Random Fields (CRF) is a probabilistic model to overcome the segmentation and labeling sequence data. CRF is used to combine the features to get a model which is used to predict the value of importance of each sentences. Feature that used are basic feature and complex feature. Accuracy of the system is measured by using F-Measure, by comparing summaries created by the system and summaries created by expert. The test results showed that the average accuracy of the system is around 62,5% with value of threshold set 0.45 where that values used to classificating summary sentences and non-summary sentences.

KursusKursus

• Marketing Goes to CampungMarketing Goes to Campung
• SAP FundamentalSAP Fundamental

  • Terkait dengan Telkom UniversityTerkait dengan Telkom University
• Speaking ClassSpeaking Class

Gelar Kehormatan dan PenghargaanGelar Kehormatan dan Penghargaan

• Gemastik (Pagelaran Mahasiswa Nasional bidang Teknologi Informasi dan Komunikasi)Gemastik (Pagelaran Mahasiswa Nasional bidang Teknologi Informasi dan Komunikasi)

  Dikeluarkan oleh Kementrian Riset Teknologi dan Perguruan Tinggi · Jan 2014Dikeluarkan oleh Kementrian Riset Teknologi dan Perguruan Tinggi · Jan 2014

  • • Data Mining CategoryData Mining Category
• Gemastik (Pagelaran Mahasiswa Nasional bidang Teknologi Informasi dan Komunikasi)Gemastik (Pagelaran Mahasiswa Nasional bidang Teknologi Informasi dan Komunikasi)

  Dikeluarkan oleh Kementrian Riset Teknologi dan Perguruan Tinggi · Jan 2013Dikeluarkan oleh Kementrian Riset Teknologi dan Perguruan Tinggi · Jan 2013

  • • Data Mining CategoryData Mining Category

BahasaBahasa

• Bahasa IndonesiaBahasa Indonesia

  Tingkat fasih atau bahasa asliTingkat fasih atau bahasa asli
• EnglishEnglish

  Tingkat menengahTingkat menengah

OrganisasiOrganisasi

• Data Mining CenterData Mining Center

  Researcher · Jan 2014 - SekarangResearcher · Jan 2014 - Sekarang
• Forum Mahasiswa Islam BandungForum Mahasiswa Islam Bandung

  Head of sponsorship division · Jan 2012 - Jan 2014Head of sponsorship division · Jan 2012 - Jan 2014
• Himpunan Mahasiswa Fakultas InformatikaHimpunan Mahasiswa Fakultas Informatika

  Human Resource Development · Jan 2011 - Jan 2013Human Resource Development · Jan 2011 - Jan 2013

MinatMinat

• WebexWebex 126.237 pengikut126.237 pengikut
• ViBiCloudViBiCloud 2.597 pengikut2.597 pengikut