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All Journal Jurnal Plans : Penelitian Ilmu Manajemen dan Bisnis Jurnal Sains, Teknologi dan Komputer Economic: Journal Economic and Business
Panjaitan, Bonjovi Marselino
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI KEGAGALAN START-UP BUKA LAPAK: KAJIAN KASUS DAN SOLUSI Ginting, Wahyu Andre B; L Toruan, Anjel Monika; Panjaitan, Bonjovi Marselino; Tumangger, Emya Malum K; Hafidz, Fahrul Al H; Apriani, Selvia
Jurnal PLANS : Penelitian Ilmu Manajemen dan Bisnis Vol 15, No 2 (2020): JURNAL PLANS
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/plans.v15i2.52224

Abstract

Penelitian ini menginvestigasi faktor-faktor yang menyebabkan kegagalan start-up di industri e-commerce Indonesia, dengan mengambil studi kasus pada Bukalapak, perusahaan e-commerce ternama. Analisis mendalam terhadap data dari tahun 2021 hingga 2023 mengungkapkan penurunan signifikan dalam jumlah pengguna aktif bulanan (MAU) sebesar 33% dan volume transaksi (GMV) sebesar 25%. Faktor-faktor kunci yang menyebabkan penurunan ini meliputi strategi pemasaran yang tidak efektif, pengalaman pengguna yang tidak memuaskan, manajemen risiko yang kurang baik, dan kekurangan dalam inovasi teknologi. Hasil penelitian ini memberikan wawasan penting kepada pelaku usaha start-up dan pemangku kepentingan di Indonesia. Strategi pemasaran yang ditingkatkan, fokus pada perbaikan antarmuka pengguna, peningkatan layanan pelanggan, dan investasi dalam teknologi inovatif merupakan langkah-langkah kunci yang dapat diambil oleh start-up untuk mengurangi risiko kegagalan. Penelitian ini juga memberikan kontribusi berharga dalam konteks pengembangan ekosistem start-up di Indonesia, membantu para pelaku usaha memahami dinamika pasar yang kompleks dan merencanakan langkah-langkah yang tepat untuk mencapai kesuksesan dalam lingkungan bisnis yang kompetitif.
Penggunaan NLP dalam Analisis Sentimen untuk Meningkatkan Kepuasan Pelanggan pada Pengguna E-commerce: Lazada Toruan, Anjel Monika Lumban; Panjaitan, Bonjovi Marselino; Tumangger, Emya Malum Karina; Ulfa, Rahma Nadila; Panjaitan, Gabriella Dominggoes
Jurnal Sains, Teknologi & Komputer Vol. 1 No. 1 (2024): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v1i1.452

Abstract

The rapid growth of e-commerce in Indonesia has increased competition in this industry. To retain customers and win the competition, e-commerce platforms need to deeply understand customer needs and wants. One way to understand customer sentiment is to use NLP and sentiment analysis. This research aims to analyze the influence of NLP: Sentiment Analysis in increasing customer satisfaction among e-commerce users: Lazada. This research uses quantitative methods with a survey approach. Data is collected by: Collecting reviews and comments from Lazada customers on platforms and social media. Analyze data using NLP techniques: Sentiment Analysis to identify customer sentiment. Conduct statistical analysis to determine the relationship between customer sentiment and customer satisfaction. The research results show that there is a significant relationship between customer sentiment and Lazada customer satisfaction. Customers who are satisfied with Lazada's services tend to give positive reviews. These positive reviews can help Lazada to understand customer needs and wants. This can be used to improve the quality of Lazada products and services, as well as provide a better customer experience. Here are some of the benefits of NLP: Sentiment Analysis in increasing customer satisfaction: Helping e-commerce players to understand customer needs and desires, helping e-commerce players to identify problems faced by customers, helping e-commerce players to improve the quality of products and services, helping e-commerce players to provide a better customer experience. Therefore, e-commerce players can utilize NLP: Sentiment Analysis to increase customer satisfaction and increase their business competitiveness.
Comparison of Medan State University Students' Preferences for Online Motorcycle Taxi Platforms: A Case Study on GOJEK and GRAB Fitri, Anisa; Nasution, Mutiara Akbar; Utami, Ananda Putri; Toruan, Anjel Monika Lomban; Panjaitan, Bonjovi Marselino
Economic: Journal Economic and Business Vol. 2 No. 3 (2023): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v2i3.691

Abstract

This study was conducted with the aim of determining the preferences of Medan State University students between the Grab and Gojek online motorcycle taxi platforms. This study uses a qualitative method where the author collects respondent data through a questionnaire. The qualitative method is used for the reason of measuring the comparison of online motorcycle taxi platforms used by students of Medan State University (UNIMED). The results of this study indicate that the preferences of Medan State University students vary between Grab and Gojek due to several factors that influence them. From the results of this study, it can be seen that the preferences of Medan State University students tend to choose Grab. Grab is considered to offer more attractive discounts and promos and cheaper prices. Meanwhile, some students choose Grab because it offers a wider variety of payment methods. From this study, we can see that the promotion factor is the thing that most influences student preferences at UNIMED. From both of these platforms, they have positive experiences and satisfaction from consumers and students are willing to recommend Grab and Gojek as online motorcycle taxi platforms to others.
Co-Authors Anisa Fitri Apriani, Selvia Ginting, Wahyu Andre B Hafidz, Fahrul Al H L Toruan, Anjel Monika Mutiara Akbar Nasution Panjaitan, Gabriella Dominggoes Toruan, Anjel Monika Lomban Toruan, Anjel Monika Lumban Tumangger, Emya Malum K Tumangger, Emya Malum Karina Ulfa, Rahma Nadila Utami, Ananda Putri