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All Journal Indonesian Journal of Business and Entrepreneurship (IJBE) International Journal of Supply Chain Management J-SAKTI (Jurnal Sains Komputer dan Informatika) YUME : Journal of Management Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Charity : Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Bima Journal : Business, Management and Accounting Journal Journal of Tourism Sustainability East Asian Journal of Multidisciplinary Research (EAJMR) eProceedings of Management Community Service Seminar and Community Engagement (COSECANT)
Gadang Ramantoko
Universitas Telkom
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Social Sciences Transportation 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

Abstract

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
Talent Performance Analysis Using People Analytics Approach Fahreza Nasril; Dian Indiyati; Gadang Ramantoko
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 1 (2021): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i1.1585

Abstract

The purpose of this study was to answer the research question "How is the prediction of Talent Performance in the following year with the application of People Analytics?" and knowing the description of employees who are potential talents, the resulting performance contributions, to the description of the development and retention efforts needed by Talent in order to be able to maintain their future performance and position as Talents compared to the previous People Analytics method using predictive analysis, namely prediction of Talent Performance in the year next. In this study, data analysis using the Multivariate Logistic Regression method is used to get the Prediction of the Performance of Talents who become the object of research in the form of individual performance quickly and precisely in accordance with the patterns drawn by individual Performance score data in previous years. And can provide insight regarding the projected strategies that need to be done to maintain the improvement of individual talent performance in the years of the assessment period. It also helps management in making decisions about the right Talent development program and determining which Talents are priorities. The population in this study were the talents of employees of PT. Angkasa Pura II (Persero) with a managerial level consisting of: Senior Leader, Middle Leader, and First Line Leader who has a Person Grade (PG) range of 13 to 21. The sample used is Middle Leader level talent with specified criteria and through a process data cleansing. The results of this study indicate that the variable that significantly affects the performance of the following year is the performance of the previous 2 years. Then prediction analysis can be done using these independent variables with the Multinomial Logistic Regression method, and to get prediction results with better accuracy can be done by the Random Forest method.
Talent Acquisition Implementation with People Analytic Approach Atyoko Utomo; Dian Indiyati; Gadang Ramantoko
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 1 (2021): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i1.1584

Abstract

The current human resource (HR) fulfillment conditions in this company are still quite low. This can be seen from the percentage of HR fulfillment of approximately 60% of the total HR needs. The strategy of fulfilling human resources through the recruitment and selection process must be done quickly and optimally. The problem that arises is related to the optimization of the talent acquisition process carried out, so that the results obtained are in accordance with the target and have quality that meets the required. In this study, data analysis was used using the random forest method. The method is used to develop a model that can predict the pass level of participants in recruitment and selection quickly and precisely in accordance with the profile of each participant, and can provide insight on the projected achievement of individual performance on each participant if passed at the company, to assist management in making decisions about the participants accepted in the recruitment and selection process. The data population used is data on recruitment and selection participants in 2018. To carry out the process of predicting the graduation rate of prospective employees, data for prospective employees who register for the recruitment and selection process will be used with a total of 17,294 people. The analytical tool in this study uses a people analytic approach. The conclusion of this study is that making people analytics on the process of talent acquisition can be done using the Random Forest Classification method. This method aims to determine the class of each predicted data. Modeling has been made to predict performance achievements, but the performance of the model is still not showing the level of significance in accordance with the standard level of confidence, which is still below 0.05.
Information Sharing Model in Supporting Implementation of e-Procurement Service: Case of Bandung City Gadang Ramantoko; Herry Irawan
International Journal of Supply Chain Management Vol 6, No 3 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

This research examines the factors influencing the Information Sharing Model in Supporting Implementation of e-Procurement Services: Case of Bandung City in its early maturity stage. The early maturity of information sharing stage was determined using e-Government Maturity Stage Conceptual Framework from Estevez. Bandung City e-Procurement Information Sharing system was categorized at stage 1 in Estevez model where the concern was mainly on assessing the benefit and risk of implementing the system. The Authors were using DeLone McLean (DM) Information System Success model to study benefit and risk of implementing the system in Bandung city. The model was then empirically tested by employing survey data that was collected from the available 40 listed supplier firms. DMs model adjusted by Klischewskis description was introducing Information Quality, System Quality, and Service Quality as independent variable; Usability and User Satisfaction as intermediate dependent variable; and Perceived Net Benefit as final dependent variable. The findings suggested that, all of the predictors in DMs model significantly influenced the net perceived benefit of implementing the e-Procurement system in the early maturity stage. The theoretical contribution of this research suggested that DMs model might find useful in modeling complex information technology successfulness such as the one used in e-Procurement service. This research could also have implications for policy makers (LPSE) and system providers (LKPP) following the introduction of the service. However, the small number of respondent might be considered limitation of the study. The model needs to be further tested using larger number of respondents by involving the population of the firms in extended boundary/municipality area around Bandung.
PENINGKATAN CARA BERKOMUNIKASI DENGAN PELANGGAN BAGI TENAGA PENUNJANG AKADEMIK (TPA) TELKOM SCHOOL Maya Ariyanti; gadang ramantoko; Eva Nurazizah
Charity : Jurnal Pengabdian Masyarakat Vol 5 No 2a (2022): Special Issue
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v5i2a.5113

Abstract

Kondisi munculnya pandemi covid dua tahun ke belakang yang secara tidak langsung memaksa seluruh sistem pembelajaran termasuk didalamnya adalah layanan pendukung pembelajaran dilakukan secara daring. Fungsi-fungsi layanan pendukung perlu menyesuaikan sehingga tetap dapat memberikan pelayanan yang optimal dalam rangka mencapai kepuasan pelanggan yang optimal pula. Tenaga Penunjang Akademik (TPA) Telkom School perlu menyesuaikan untuk dapat berkomunikasi dengan pelanggan sebaik mungkin meskipun dalam kondisi pandemic. Pengabdian Masyarakat ini dilakukan dalam bentuk pelatihan cara berkomunikasi dengan pelanggan bagi TPA Telkom School Secara Online. Luaran dari pengabdian masyarakat ini adalah pemahaman Tenaga Penunjang Akademik (TPA) Telkom School tentang bagaimana serta pentingnya menyampaikan informasi dengan baik kepada konsumen utamanya ketika dilakukan secara daring.
PENINGKATAN CARA BERKOMUNIKASI DENGAN PELANGGAN BAGI TENAGA PENUNJANG AKADEMIK (TPA) TELKOM SCHOOL Maya Ariyanti; Gadang Ramantoko; Eva Nurhazizah
Prosiding COSECANT : Community Service and Engagement Seminar Vol 2, No 1 (2022)
Publisher : Universitas telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.45 KB) | DOI: 10.25124/cosecant.v2i1.18433

Abstract

Kondisi culnya pandemi covid satu tahun kebelakang yang secara tidak langsung memaksa seluruh sistem pembelajaran termasuk didalamnya adalah layanan pendukung pembelajaran dilakukan secara daring. Tidak hanya pengajaran tapi fungsi-fungsi layanan pendukung juga perlu menyesuaikan sehingga tetap dapat memberikan pelayanan yang optimal dalam rangka mencapai kepuasan pelanggan yang optimal pula. Tenaga Penunjang Akademik (TPA) Telkom School perlu menyesuaikan untuk dapat berkomunikasi dengan pelanggan sebaik mungkin meskipun dalam kondisi pandemic. Pengabdian Masyarakat ini dilakukan dalam bentuk pelatihan cara berkomunikasi dengan pelanggan bagi TPA Telkom School Secara Online. Luaran dari pengabdian masyarakat ini adalah pemahaman Tenaga Penunjang Akademik (TPA) Telkom School tentang bagaimana dan pentingnya menyampaikan informasi dengan baik kepada konsumen utamanya ketika dilakukan secara daring.  Kata Kunci: Komunikasi, Digital, Pancemic Covid 19, Telkom School
Semantic Analysis of Messages Containing Peer to Peer Lending Issues on Instagram and Twitter Aulia Salsabila Manan Putri; Gadang Ramantoko; Eva Nurhazizah
YUME : Journal of Management Vol 4, No 2 (2021)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v4i2.2342

Abstract

AbstrakIndustri pinjaman online mulai berkembang di Indonesia pada tahun 2016. Terdapat dua jenis pinjaman online yang berkembang di Indonesia yaitu pinjaman online ilegal dan pinjaman online legal. Bertambahnya jumlah kasus pinjaman online ilegal berdampak pada menurunnya tingkat customer trust masyarakat Indonesia terhadap industri pinjaman online. Tujuan penelitian yaitu melakukan analisis semantik untuk melihat behaviour pihak perusahaan pinjaman online dari isi pesan pinjaman online yang terdapat dalam UGC (User Generated Content) yang menyebabkan banyak konsumen pinjaman online mengalami penurunan tingkat kepercayaan kepada perusahaan pinjaman online. Penelitian ini menggunakan text mining yaitu analisis semantik. Analisis semantik akan dilakukan dengan menggunakan software Wmatrix5. Data diperoleh dari hasil crawling menggunakan Google Collab dan web scraping Phantombuster pada sosial media Instagram dan Twitter.Hasil analisis menunjukkan terdapat 15 kelompok semantik yang ada dalam pesan pinjaman online, kelompok tersebut antara lain yaitu crime (G2.1-), giving (A9+), paper documents and writing (Q1.2), knowledge (X2.2), polite (S1.2.4+), knowledgeable (X2.2+), unmatched (Z99), law and order (G2.1), getting and possession (A9+), money: debts (I1.2), personal relationship: general (S3.1), speed: fast (N3.8+), helping (S8+), information technology and computing (Y2), dan business: selling (I2.2). Kata Kunci: Semantik Analisis, Pinjaman Online, Kepercayaan Pelanggan, Perilaku Pelanggan, Wmatrix5. AbstractPeer to peer lending industry began to develop in Indonesia in 2016. There are two types of peer to peer lending industry that are developing in Indonesia, namely illegal and legal. The increasing number of cases of illegal peer to peer lending industry has an impact on the decline in the level of customer trust of customer peer to peer lending in Indonesia.The purpose of the research is to conduct a semantic analysis to see the behavior of peer to peer lending companies from the content of peer to peer lending messages contained in UGC (User Generated Content) which causes many peer to peer lending consumers to experience a decrease in the level of trust in peer to peer lending companies. This research uses text mining, namely semantic analysis. Semantic analysis will be carried out using Wmatrix5 software. The data is obtained from crawling using Google Collab and web scraping Phantombuster on Instagram and Twitter social media.The results of the analysis show that there are 15 semantic groups in peer to peer lending messages, these groups include crime (G2.1-), giving (A9+), paper documents and writing (Q1.2), knowledge (X2.2), polite (S1.2.4+), knowledgeable (X2.2+), unmatched (Z99), law and order (G2.1), getting and possession (A9+), money: debts (I1.2), personal relationship: general (S3.1), speed: fast (N3.8+), helping (S8+), information technology and computing (Y2), and business: selling (I2.2). Keywords: Semantic Analysis, Peer to Peer Lending, Customer Trust, Customer Behaviour, Wmatrix5.
Analisis Persepsi Masyarakat Terhadap Komunikasi Kebijakan Menggunakan Topic Modelling (Kebijakan Protokol Kesehatan Covid-19 Dalam Penggunaan Masker) Rochmawati, Wulan Hilmi; Ramantoko, Gadang; Nurhazizah, Eva
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.442

Abstract

The application of health protocols has become a new habit in the Covid-19 pandemic, one of which is the use of masks. Presidential Instruction Number 6 of 2020 on August 4, 2020, has stipulated the obligation to use masks in Indonesia. This study aims to determine the topics formed on the Twitter network and public perceptions before and before the implementation of the Presidential Instruction. Tweet data with the hashtags “#gunakanmasker” and “#indonesiaterserah” were collected during the period from March 2 to November 30, 2020. The data was processed using the Topic Modeling method with Python software. The results show that the topics formed before the Presidential Instruction were "prevent-protect" and the topics after the Presidential Instruction were "compulsory-mandatory". The Chi-Square test shows that the topics formed before and before the implementation of the Presidential Instruction are independent. The topics that were mined from the tweet data were then checked for compliance with the policy framework consisting of the variables of perceived knowledge, social trust, perceived benefits, and perceived risks
Leveraging Social Media Data for Sustainable Tourism Development: Spatial Analysis of Tourist Destinations Widarmanti, Tri; Ramantoko, Gadang; Rifaldi Windya Giri , Refi
Journal of Tourism Sustainability Vol. 4 No. 3 (2024): Volume 4 Number 3 (2024)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jtospolban.v4i3.132

Abstract

The COVID-19 pandemic significantly disrupted the tourism industry by restricting social activities and raising concerns about overcrowding at popular destinations. To address these challenges, effective strategies are needed to manage visitor distribution. This study analyzes social media data from a travel platform, including reviews and ratings, to assess the distribution and popularity of tourist destinations in West Java. The research explores the potential of social media as a resource for local tourism planning and development, aiming to enhance West Java's rich offerings in arts, culture, culinary experiences, and adventure tourism. Findings reveal visitor patterns, with a concentration of tourists in urban areas compared to districts, and highlight the popularity of natural attractions in Bogor, Sukabumi, Bandung, Garut, and Pangandaran. Additionally, Cirebon emerges as a key hub for cultural tourism and transit. By leveraging reviews and spatial data, this study underscores the role of social media in supporting sustainable tourism strategies. Tools like ArcGIS are recommended to visualize tourist patterns, promote ecotourism, and achieve West Java's green tourism goals in the post-pandemic era.
Analisis Persepsi Masyarakat Terhadap Komunikasi Kebijakan Menggunakan Topic Modelling (Kebijakan Protokol Kesehatan Covid-19 Dalam Penggunaan Masker) Rochmawati, Wulan Hilmi; Ramantoko, Gadang; Nurhazizah, Eva
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.442

Abstract

The application of health protocols has become a new habit in the Covid-19 pandemic, one of which is the use of masks. Presidential Instruction Number 6 of 2020 on August 4, 2020, has stipulated the obligation to use masks in Indonesia. This study aims to determine the topics formed on the Twitter network and public perceptions before and before the implementation of the Presidential Instruction. Tweet data with the hashtags “#gunakanmasker” and “#indonesiaterserah” were collected during the period from March 2 to November 30, 2020. The data was processed using the Topic Modeling method with Python software. The results show that the topics formed before the Presidential Instruction were "prevent-protect" and the topics after the Presidential Instruction were "compulsory-mandatory". The Chi-Square test shows that the topics formed before and before the implementation of the Presidential Instruction are independent. The topics that were mined from the tweet data were then checked for compliance with the policy framework consisting of the variables of perceived knowledge, social trust, perceived benefits, and perceived risks
Co-Authors Atyoko Utomo Aulia Salsabila Manan Putri Dian Indiyati Eva Nurazizah Eva Nurhazizah Fahreza Nasril Herry Irawan Herry Irawan, Herry Maya Ariyanti Pratiwi, Meuthia Nabila Rahayu Ardianti, Sri Refi Rifaldi Windya Giri Rochmawati, Wulan Hilmi Santoso, Muhammad Dimas Arief Tri Widarmanti