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All Journal Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Ilmiah Universitas Batanghari Jambi JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) SEIKO : Journal of Management & Business Journal of Humanities and Social Studies International Journal of Educational Management and Innovation (IJEMI) ETNIK : Jurnal Ekonomi dan Teknik Jurnal Manajemen dan Pemasaran Jasa Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) eProceedings of Management Community Service Seminar and Community Engagement (COSECANT) Serat Acitya

Tri Widarmanti

Universitas Telkom

Author-ID : 2818083

Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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EXPLORING BRAND POSITIONING AND HOTEL PERSONA TROUGH WOM AND CONTENT BY TEXT ANALYSIS Tri Widarmanti; Gadang Ramantoko
Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 6 No. 3 (2020): IJBE, Vol. 6 No. 3, September 2020
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.6.3.205

Hotel management will concentrate on addressing difficult challenges and finding new ways for hotels to succeed in today's changing market world. Online customer reviews can be used to reflect the degree of differentiation between hotel brands and understanding the hotel industry's market structure through text analytics. The purpose of this study is to discover and demonstrate how customer online reviews (WOM and content), in the hospitality industry using text analysis can be used to explore brand positioning of hotel persona. This study gathered 4.215 online reviews one of hotel at Bandung city from year of 2015 – 2019, the methodology used the approach of text classification, quantitative analysis of text. This study found the category of visitors who stay the most are comes from family category and romantic vacation category, while the target visitors expected by the hotel are from business traveler’s category. Most customer state the word "family" when mentioning the hotel. Children, family, pool, zoo are the words most often discussed in customer reviews. This study findings can be used as an insight into what are the things that generate a satisfying experience and strengthen brand positioning of the hotel. In the future, it would be interesting to gathered data from multiple e-commerce application, and combining ontology-learning-based text mining and psychometric techniques to translate online hotel’s reviews into a hotel’s positioning map, capturing the relationship between product of hotel and reviewer effectively. Keywords: online review, brand positioning, text analytics, customer perceived value, hotel persona

Pengaruh Social Media Marketing Instagram Terhadap Keputusan Pembelian Ulang Produk Scarlett Whitening Alya Afina; Tri Widarmanti
Jurnal Etnik: Ekonomi-Teknik Vol 1 No 9 (2022): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v1i9.108

Marketing activities using social media are widely used by business actors to introduce or promote goods and services. Indonesia is one of the countries with the most Instagram social media users in 2021 with a total of 93 million users, Scarlett Whitening is a local skincare brand owned by an Indonesian artist that was founded in 2017. The sale of this product is only done online through Instagram as a promotional tool. This study aims to determine the influence of social media marketing on Instagram on value equity, brand equity, relationship equity, and repurchase. This research uses descriptive quantitative with Structural Equation Modeling (SEM) which is analyzed using SmartPLS 3.0 and SPSS software to process the data. The results showed that the social media marketing activity had a positive and significant effect on value equity, brand equity, and relationship equity. Also, brand equity and relationship equity had a positive and significant effect on repurchase decisions. While value equity has no effect on repurchase decisions. The effect of social media marketing activities is significant on value equity, brand equity and relationship equity. While Value equity has no effect on repurchase decisions, Brand equity and relationship equity also have a positive and significant effect on repurchase decisions.

The link between effective human resource practices and employee engagement with perceived organizational support as mediation: A case from Indonesia Tri Widarmanti; Arif Partono Prasetio; Romat Saragih
Jurnal Manajemen dan Pemasaran Jasa Vol. 15 No. 1 (2022): Maret
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

The goal of every company is increasing the productivity, revenue and give the value added to shareholders, employee engagement gives higher productivity, and as the asset of the company, employee reflects the organization performance. The goal of this study is to explore if perceived organizational support can mediate the link between human resource practice and employee engagement. The approach utilized was a causal descriptive quantitative research method; this study distributes 240 questionnaires for a different position in 4 companies in Bandung - Indonesia. Data was measured and explained using path analysis technique. The mind findings are HR practice tend to affect the EE, but this effect is explained by the mediating influence of POS to better EE. POS will help employee to become more engaged with the organization, so organization must pay attention when introducing the HR policies, this process will decide the level of support workers experience and the degree to which they will interact with the current organization. Keywords:

REVITALISASI PENAMPUNGAN DAN PENGOLAHAN SAMPAH RAMAH LINGKUNGAN ( STUDI PADA DESA CITEUREUP RW 8 KEC.BOJONGSOANG) Agus Kusnayat; Tri Widarmanti; Dino Caesaron; Kemas Muslim Lhaksmana; Murman Dwi Praseti; Denny Darlis; Dida Diah Damayanti
Prosiding COSECANT : Community Service and Engagement Seminar Vol 1, No 2 (2021)
Publisher : Universitas telkom

Sampah merupakan salah satu masalah yang selalu dihadapi oleh masyarakat, melalui kegiatan pengabdian masyarakat dengan masyarakat sasar warga RW 8 Desa Citeureup Kecamatan Dayeuhkolot Kabupaten Bandung, Tim PkM yang merupakan gabungan dari 4 fakultas di Universitas Telkom, melakukan kegiatan Tahap 1 revitalisasi penampungan dan pengolahan sampah ramah lingkungan, melalui perbaikan infrastruktur sipil (perbaikan landasan mesin), sanitasi (pengaturan pembuangan air) dan kelistrikan (untuk mendukung fungsional mesin), respon masyarakat sasar terhadap kegiatan ini sangat baik 97% menyatakan kegiatan ini bermanfaat. Pengabdian kepada masyarakat tahap 1 ini merupakan awal dari optimalisasi TPS3R menuju penampungan dan pengolahan sampah yang berdaya ekonomi dengan pemanfaatan sampah organik untuk budidaya maggot, ikan lele dan tanaman hidroponik, pemanfaatan sampah anorganik melalui pemilahan sampah yang bisa dijual kembali.

PERBAIKAN BAK PENAMPUNGAN DAN SISTEM PENDISTRIBUSIAN AIR DI KOMPLEK VILA BANDUNG INDAH (VBI) KAB.BANDUNG Agus Kusnayat; Tri Widarmanti; Deni Sukma Eka Atmaja; Rino Andias Anugraha
Prosiding COSECANT : Community Service and Engagement Seminar Vol 2, No 1 (2022)
Publisher : Universitas telkom

LDA-Topic Modeling: Menggunakan Ulasan Pengguna Untuk Meningkatkan User Experience (Studi pada PeduliLindungi) Khansa Amaradiena; Tri Widarmanti
SEIKO : Journal of Management & Business Vol 6, No 1 (2023): January - Juny
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i1.4227

Pemanfaatan aplikasi tracking COVID-19 PeduliLindungi sebagai salah satu upaya untuk menekan angka penyebaran virus semakin banyak digunakan. Dengan semakin banyak masyarakat yang menggunakan, maka muncul ulasan terkait pemanfaatan aplikasi pada media sosial, salah satunya Twitter. Penelitian bertujuan untuk mengetahui topik yang disebutkan dan topik yang paling sering dibicarakan oleh pengguna aplikasi PeduliLindungi berdasarkan data pada media sosial Twitter. Selain itu, tujuan lain dari penelitian ini untuk mengetahui topik muncul yang berkaitan dengan user experience. Topik terkait user experience tersebut kemudian dikelompokan berdasarkan UX HEART metrics. Penelitian menggunakan data UGC dari tweets pada Twitter dengan kata kunci “pedulilindungi”. Data diambil dalam rentan waktu 1 – 31 Desember 2021. Data kemudian dianalisis menggunakan metode LDA-Topic Modeling untuk mengetahui topik dan kata pada dokumen. Hasil penelitian menunjukan terdapat 9 topik yang disebutkan. Selain itu, topik yang paling sering dibicarakan terkait penggunaan aplikasi PeduliLindungi. Berdasarkan analisis UX HEART metrics dapat diketahui terdapat 4 metrics yaitu happiness, engagement, retention, dan task success. Diharapkan dari hasil penelitian dapat menjadi evaluasi bagi pengembang aplikasi untuk meningkatkan kualitas aplikasi, seperti mengurangi error, melakukan pembaharuan data vaksin secara cepat, dan menyebarkan informasi untuk pengguna tentang cara melakukan input tanggal saat log in atau saat melakukan klaim sertifikat vaksin. Kata Kunci: Ulasan Pengguna, Text Mining, Topic Modeling, Pengalaman Pengguna.

Improving Customer Education: Study Of Customer Engagement Of Tokopedia And Shopee On Twitter Using Social Network Analysis Rachel Anggraini Alamsyah; Tri Widarmanti
International Journal of Educational Management and Innovation Vol. 4 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijemi.v4i2.7728

Customer education is one type of customer engagement. Through the active involvement of customers in the value creation process, customer education can give a business a competitive advantage. This study uses social network analysis (SNA) and text analysis to examine user interaction and information sharing about two Indonesian e-commerce sites on Twitter concerning customer engagement and customer education. Text data was scraped from Twitter from November 1 to December 31, 2022, and processed using Gephi and Orange software. This study found that the data shows that both official accounts of two Indonesian e-commerce become the most influential accounts in sharing information about products and services. They also play a role in educating their customers regarding the buying process, promotions, and solutions on their social networks. SNA and text analytics can be used to see customer engagement and improve customer education strategies for e-commerce to reach a competitive advantage. For further research, examining the same or different objects is recommended but using data sources from different social media, such as Instagram and Facebook.

PENGARUH BRAND AMBASSADOR, BRAND PERSONALITY DAN KOREAN WAVE TERHADAP KEPUTUSAN PEMBELIAN Tri Widarmanti; Widya Amalia Cahyani
JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi). Vol 10 No 2 (2023): JMBI UNSRAT Volume 10 Nomor 2
Publisher : FEB Universitas Sam Ratulangi Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35794/jmbi.v10i2.49254

This study aims to determine whether there is influence of brand ambassadors, brand personality and the Korean wave on purchasing decisions of Nature Republic and how influential these three variables are on purchasing decisions of Nature Republic products. This research was conducted using a quantitative method by distributing questionnaires online. The population of this study are people who have used Nature Republic products. The sample in this study was 100 respondents and the data was processed using SPSS 25 software with multiple linear regression analysis techniques. The results of this study show that brand ambassadors, brand personality and the Korean wave simultaneously influence purchasing decision variables significantly. Partially, brand ambassadors do not positively and significantly influence the purchasing decisions of Nature Republic products, brand personality influences the purchasing decisions of Nature Republic products positively and significantly, the Korean wave influences the purchasing decisions of Nature Republic products positively and significantly.

Brand Positioning untuk Keunggulan Bersaing pada Aplikasi Transportasi Online Menggunakan Sentiment Analysis (Studi pada: Go-Jek dan Grab) Mufrihah Fitriyani; Tri Widarmanti
Jurnal Ilmiah Universitas Batanghari Jambi Vol 23, No 3 (2023): Oktober
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v23i3.3661

The development of technology and information in the industrial revolution 4.0 an impact on the increasing number of internet users. Social media is a place to express opinions, share and receive information in a short time to produce User Generated Content (UGC). Not only individuals, but companies also use social media to interact with their customers to understand the company's position in the eyes of customers. Through brand positioning on social media, companies can compare with competing companies to measure their competitive advantage on social media. This study aims to determine the brand positioning and competitive advantage of the top brands of online transportation applications in Indonesia, namely Go-Jek and Grab via Twitter. The method used in this research is a mixed method. This study obtained data through crawling data on Twitter using RStudio version 4.2.2 software. The data processed in this study is UGC in the form of tweets with the keywords "goride" and "grabbike" which are products of each online transportation brand. Data collection in this study was carried out from November 1 2022 to November 30, 2022. Then the data was processed using sentiment analysis and text visualization using Wordcloud to analyze what topics are frequently discussed by users. The results show the position as well as the advantages and disadvantages of each online transportation application.

Analisis Mobile Application Service Quality (MAPPSQL) Menggunakan Metode Text Minning Pada Aplikasi PeduliLindungi Ridia Anggraini; Tri Widarmanti
eProceedings of Management Vol 10, No 4 (2023): Agustus 2023
Publisher : eProceedings of Management

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

Pertumbuhan persebaran virus COVID-19 terus berkembang. Pemerintah di seluruh dunia menerapkan berbagaikebijakan untuk menekan angka penyebaran virus, termasuk di Indonesia. Salah satu kebijakannya yaitu membuataplikasi tracking PeduliLindungi untuk membantu mengoptimalkan perlindungan kesehatan. Penelitian ini bertujuanuntuk mengetahui kualitas layanan yang paling banyak berdasarkan dimensi MappSql dan topik apa yang paling seringdibicarakan oleh pengguna aplikasi PeduliLindungi pada Google Play Store. Penelitian menggunakan metode NaïveBayes terhadap 2103 data ulasan yang diolah menggunakan software RapidMiner untuk mengetahui opini pengguna.Hasil penelitian menunjukan 1796 opini yang bisa digunakan dan opini pengguna aplikasi di klasifikasi kedalamdimensi Mobile App Service Quality (MappSql) yang terbagi menjadi 6 kelas yaitu Design, Functionality, Assurance,Customization, Service Recovery, Fulfilment dan juga pencarian topik yang paling banyak dengan menggunakanmetode LDA-Topic Modeling. Data tersebut di dominasi oleh sentimen negatif sebesar 83.9% atau 1508 ulasan yangtermasuk kedalam sentiment negatif. Kemudian dimensi yang sering dibicarakan yaitu dimensi Functionalityberjumlah 28% dari total data. Sedangkan untuk topik yang dibicarakan merupakan keluhan terkait fungsi dari aplikasiPeduliLindungi yang tidak memuaskan seperti ada bug dan data yang selalu salah padahal sudah sesuai prosedur.kata kunci-covid-19,

Co-Authors Agus Kusnayat Aisyah Munisera Alya Afina Arif Partono Prasetio Clarissa Safira Maharani Deni Sukma Eka Atmaja Denny Darlis Dida Diah Damayanti Dino Caesaron Gadang Ramantoko Kemas Muslim Lhaksmana Khansa Amaradiena Mufrihah Fitriyani Muhammad Rakha Nugraha Murman Dwi Praseti Rachel Anggraini Alamsyah Ridia Anggraini Rino Andias Anugraha Salsabila, Alpama Saragih, Romat Widya Amalia Cahyani

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