Article Per Year (5 Year)
p-Index From 2020 - 2025
0.778
P-Index
This Author published in this journals
All Journal Nusantara Journal of Multidisciplinary Science Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Router : Jurnal Teknik Informatika dan Terapan
Nauroh Nazhiifah
Unknown Affiliation
Religion Humanities Computer Science & IT Languange, Linguistic, Communication & Media

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pengembangan Bisnis Startup Menggunakan Metode SWOT pada Platform Aplikasi Goto Gojek Tokopedia Nauroh Nazhiifah; Tata Sutabri
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 4 (2024): Desember: Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i4.301

Abstract

Startups in Indonesia are growing very quickly which has an impact on the economy in Indonesia. High public enthusiasm is proven by Indonesia being one of the 5 countries with the highest number of startups in the world. There are several startups with good financial valuations that can be said to be unicoms or even decacorns. In this process, capital cannot be separated from the strategies taken by the Company. One alternative funding is to carry out an Initial Public Offering (IPO) on the Indonesia Stock Exchange (BEI). Until 2022, the startup that has carried out an IPO is PT. Goto Gojek Tokopedia conducted a Strength, Weakness, Opportunity, Threats (SWOT) analysis on the two companies to analyze the company's business strategy model. Method used in this research is a descriptive qualitative method and a data collection process by conducting literature studies from accredited scientific publication and digital news sources.
Analisis Sentimen Pada Ulasan Mobile Jkn Berdasarkan Pada Media Sosial Twitter (X) Menggunakan Metode Support Verctor Machine (SVM) Diana Puspitasari; Nauroh Nazhiifah; Tata Sutabri
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 6 (2025): NJMS - Januari 2025
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aplikasi Mobile JKN yang dikembangkan oleh BPJS Kesehatan dirancang untuk mempermudah peserta dalam menyelesaikan berbagai masalah administrasi tanpa harus mengunjungi Kantor Cabang, karena semua proses dapat dilakukan melalui aplikasi ini. Namun, aplikasi ini sering menghadapi beberapa kendala yang berdampak pada persepsi negatif terhadap pelayanannya. Media sosial Twitter menjadi platform yang sesuai untuk mengungkapkan perasaan, berbagi informasi terkini, serta memberikan komentar atau opini tentang berbagai hal, dengan jumlah pengguna aktif mencapai 24,85 juta. Salah satu metode untuk mengidentifikasi opini pengguna terhadap suatu subjek, baik berupa opini positif, negatif, maupun netral, adalah melalui Analisis Sentimen. Dalam penelitian ini penulis menggunakan metode Support Vector Machine (SVM) sebagai cara untuk menganalisis sentimen pengguna aplikasi Mobile JKN di Twitter. Penelitian ini bertujuan untuk menghasilkan model klasifikasi sentimen berbasis SVM, mengukur akurasi metode SVM dalam analisis sentimen, serta mengevaluasi tingkat kepuasan pengguna aplikasi Mobile JKN berdasarkan data dari Twitter. Hasil pengujian menunjukkan bahwa metode SVM menghasilkan akurasi sebesar 82%, dengan precision 49%, recall 74%, dan F1-score 62%.
Analisis Penerapan Business Intelligence dan Knowledge Management dalam Strategi Retensi Pelanggan pada Platform Streaming Netflix Indonesia Anggi Ismiyanti; Diana Puspita Sari; Nauroh Nazhiifah; Tata Sutabri
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i4.666

Abstract

The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.
Pengembangan Bisnis Startup Menggunakan Metode SWOT pada Platform Aplikasi Goto Gojek Tokopedia Nauroh Nazhiifah; Tata Sutabri
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 4 (2024): Desember: Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i4.301

Abstract

Startups in Indonesia are growing very quickly which has an impact on the economy in Indonesia. High public enthusiasm is proven by Indonesia being one of the 5 countries with the highest number of startups in the world. There are several startups with good financial valuations that can be said to be unicoms or even decacorns. In this process, capital cannot be separated from the strategies taken by the Company. One alternative funding is to carry out an Initial Public Offering (IPO) on the Indonesia Stock Exchange (BEI). Until 2022, the startup that has carried out an IPO is PT. Goto Gojek Tokopedia conducted a Strength, Weakness, Opportunity, Threats (SWOT) analysis on the two companies to analyze the company's business strategy model. Method used in this research is a descriptive qualitative method and a data collection process by conducting literature studies from accredited scientific publication and digital news sources.
Co-Authors Anggi Ismiyanti Diana Puspita Sari Diana Puspitasari Tata Sutabri