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All Journal Charity : Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Dana Sulistyo Kusumo
Universitas Telkom
Arts Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Social Sciences

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USULAN MODEL BISNIS DIGITAL PADA PERUSAHAAN SOFTWARE DI PT NEURONWORKS INDONESIA Dana Sulistyo Kusumo; Arfive Gandhi; Zahid Al Muhasibi; Fathuddin Ashari Amir
Charity : Jurnal Pengabdian Masyarakat Vol 6 No 1a (2023): Special Issue
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v6i1a.5900

Abstract

Keberlangsungan suatu usaha di era Industri 4.0 tidak lagi bergantung pada inovasi produk dan inovasi proses, namun potensi inovasi. Saat ini, PT Neuronworks Indonesia dengan model bisnisnya mempunyai banyak produk digital, salah satunya adalah aplikasi SDM bernama Doors. Walau mempunyai fitur-fitur yang banyak dan lengkap, namun Doors belum mampu menjadi produk nomor satu di bidang aplikasi SDM di Indonsia. Hal ini menunjukkan bahwa inovasi produk dan inovasi proses tidak cukup bagi Doors. Dalam pengabdian masyarakat yang kami lakukan penyuluhan wawasan tentang Pengantar Pendekatan Business Model Navigator, Pemilihan Pola-Pola Model Bisnis berbasis Pendekatan Business Model Navigator dan Model Bisnis Digital. Dengan pendekatan Business Model Navigator, PT Neuronworks dapat memperoleh minimal 11 model bisnis baru sebagai inovasi model bisnis untuk Doors. Diharapkan inovasi model bisnis baru mampu menstimulus Doors agar dapat memberikan banyak pilihan kepada calon pelanggan dan pelanggan saat ini untuk dapat menggunakan aplikasi SDM Doors sesuai kebutuhannya. Keyword: Aplikasi, Pembelajaran, Digital, Dakwah, Youtube
Mendeteksi Cyberhate pada Twitter Menggunakan Text Classification dan Crowdsourced Labeling Dana Sulistyo Kusumo; Hadi Kurniawan Sidiq; Indra Lukmana Sardi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.974 KB)

Abstract

During the 2019 presidential election campaign in Indonesia, a lot of support was made by the community with various forms of support, such as poster distribution or even content on social media. For example, in social media such as Twitter, there were many support tags during the presidential election, such as #2019gantipresiden, #2019tetapjokowi, and other hashtags related to the Indonesian presidential election. However, many hate speeches are contained in tweets with the related hashtag. Hate speech on the internet (cyberhate) could cause disputes between support groups of the two presidential candidates which cause conflicts such as riots and other actions that harm the country. This study uses the SVM algorithm to detect cyberhate that produces the best accuracy of 97%. Also, this study applies crowdsourced labeling in dataset labeling which results in 98% valid data.
Co-Authors Arfive Gandhi Fathuddin Ashari Amir Hadi Kurniawan Sidiq Indra Lukmana Sardi Zahid Al Muhasibi