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Robbi Rahim
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JL. Kenari 18 No. 421 Desa/Kelurahan. Kenangan, Kec. Percut Sei Tuan, Kab. Deli Serdang, Kab. Deli Serdang, Provinsi Sumatera Utara, 20226, Indonesia
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Apollo: Journal of Tourism and Business
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 29855810     DOI : https://doi.org/10.58905/apollo
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
Apollo: Journal of Tourism and Business, a premier peer-reviewed academic journal dedicated to the advancement of knowledge and research in the field of tourism and business. Our journal is committed to publishing high-quality, original research that explores the complex and dynamic relationship between these two fields. We publish three issues per year and welcome submissions from researchers at all career levels and from any geographic location. Our journal is assigned the International Standard Serial Number (ISSN) 2985-5810, which ensures the permanent availability and visibility of our journal in the scholarly community, We are committed to promoting diversity and inclusivity in our editorial process and encourage submissions from underrepresented groups. Our rigorous peer review process ensures that only the most impactful and rigorous research is published in our journal. we hope that you will consider submitting your research to Apollo and join the conversation about the important issues facing the tourism and business sectors.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Tourism, Leisure and Hospitality Management
Articles 82 Documents
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The Moral Politics of Inclusion: Social Exclusion and Identity Transformation in Indonesian Community-Based Tourism Stephanie Theodora Mulyono; Rudy Pramono; Juliana Juliana
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.746

Abstract

Community-Based Tourism (CBT) is widely promoted in Indonesia as a participatory and empowering development strategy. However, the realities of inclusion and benefit distribution are often shaped by social hierarchies, customary norms, and moral evaluations. This study employs a qualitative, interpretive approach to examine how CBT participation produces both inclusion and exclusion, and how moral and social norms mediate the transformation of local identity. Data were collected through in-depth interviews, participant observations, and document analyses across multiple Indonesian CBT sites. The findings reveal that participation is governed not only by formal rules but also by informal gatekeeping, moral judgments, and social capital, resulting in differentiated access to economic and symbolic benefits. Excluded individuals often experience resentment, silence, and a shift in identity from “hosts” to marginalized subjects. By integrating the moral economy with critical tourism studies, this study advances a relational and politicized understanding of CBT. It moves beyond procedural models of participation to theorize CBT as a field of moral-political contestation, where the distribution of benefits is inseparable from struggles over legitimacy, social recognition, and the very definition of 'community.' This framework provides critical leverage for analyzing social exclusion and identity transformation in tourism development beyond the Indonesian context.
Digital Discourse on Bottled Drinking Water: A Social Network Analysis and NLP Approach Maryam kassem Maryam kassem; Vanessa Ghafar Vanessa Ghafar; Asep Miftahuddin Asep Miftahuddin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.680

Abstract

This study aims to examine digital public discourse regarding bottled drinking water on X/Twitter using a multidimensional social media analytics approach. The data consisted of 714 public conversations collected through the SocialX platform during the observation period from January to May 2026. Several computational analytical techniques were employed, including sentiment analysis, emotion analysis, text network analysis (TNA), social network analysis (SNA), trend analysis, and zero-shot classification. The findings reveal that public conversations were predominantly characterized by neutral and positive orientations, indicating that bottled drinking water is generally perceived as a practical and widely accepted consumption product. Emotion analysis further demonstrates that “happy” was the dominant emotional category, reflecting routine and functional consumption experiences within digital discussions. Text network analysis identified several interconnected thematic clusters related to bottled drinking water consumption, pricing, packaging, environmental concerns, and microplastic issues. In addition, the social network structure showed moderately fragmented interaction patterns centered around several influential accounts rather than a fully centralized communication network. Trend analysis also indicated a continuous increase in discussion intensity throughout the observation period, suggesting growing public attention toward bottled drinking water and sustainability-related issues. Overall, this study provides a comprehensive understanding of digital discourse surrounding bottled drinking water and contributes to the literature on consumer communication, social media analytics, and sustainability discourse in online environments.
Analyzing Consumer Purchase Decisions Toward Eyeshadow Products Through Sentiment Analysis and Social Network Analysis on X (Twitter) Auliya Nur Afifah; Vanessa Gaffar; Asep Miftahuddin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.690

Abstract

This study examined the consumers' decisions on how to purchase eyeshadow products from Twitter/X conversations using Sentiment Analysis and Social Network Analysis (SNA). The research aimed to investigate the sentiment of consumers, interaction, influence of influential people, and communication structures of eyeshadow products in the social media marketing and the social media communication. We employed data collected from Twitter/X through SocialX as a quantitative computational social science approach to the research. The dataset comprised 218 records between January 1, 2026, and April 30, 2026, with eyeshadow, e.g., eye-shadow, eye-shadow review, eye-shadow recommendation, and eye-shadow discussion. We combined sentiment analysis, emotion analysis, text network analysis, trend analysis, and social network analysis to investigate consumers’ interactions and information sharing. We find that Twitter/X discussions regarding eyeshadow products are dominated by suggestions, product reviews, and information sharing. As a result, the sentiment analysis showed that neutral and positive sentiment dominated the discussion and the emotional representation was the most dominant emotion. The Social Network Analysis identified several key actors who are in the network and were involved in connecting discussion clusters and communicating cosmetic information. The findings show that the social media interactions were a major factor in the understanding of consumers’ decision to purchase eyeshadow products. The recommendations, positive perception of the product, and the well-connected digital communication structures of Twitter/X have shown that Twitter/X is a very effective source to exchange product information and to shape cosmetic purchasing in beauty online communities.
Mapping Consumer Sentiment and Network Dynamics of Perfume Co-Branding Discourse on X/Twitter: A Computational Social Network Analysis Approach Fida Adzkiyatunnida; Vanessa Gaffar; Asep Miftahuddin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.691

Abstract

The rapid growth of the global fragrance industry has driven brands to adopt co-branding strategies to strengthen brand equity and expand market reach, yet consumer responses to these collaborations in digital spaces remain fragmented and difficult to predict. This study analyzes the distribution of consumer sentiment, identifies key actors in interaction networks, and explores the extent to which Twitter-based data can complement the evaluation of fragrance co-branding strategy. Using an exploratory social media analytics approach grounded in Digital Public Sphere theory and Social Network Theory, this study integrates Social Network Analysis with six computational modules, wordcloud analysis, sentiment analysis, text network analysis, emotion analysis, trend analysis, and zero-shot classification, applied to 300 public tweets collected via the SocialX platform during 1–12 January 2026 using fragrance and brand collaboration keywords. Results show that public discourse was lexically dominated by neutral sentiment (88%), while zero-shot classification of the same corpus yielded a positive-leaning distribution (82.33%); these are interpreted as two distinct constructs, evaluative polarity versus semantic stance, alongside a Sentiment Index of +0.28 and a dominant happy-emotion classification (92%). Network analysis identified a small number of actors occupying central or bridging positions in information dissemination, and trend analysis detected two major activity peaks on January 1–2, 2026, coinciding with the New Year transition. These findings offer theoretical implications for applying Digital Public Sphere and Social Network Theory jointly to fragrance co-branding discourse, and practical implications for brand managers seeking to monitor how collaboration discourse is expressed and circulates online.
Mapping Market Risk Narratives of Artificial Intelligence: A Social Network Analysis of Public Discourse Kirana Labbaika; Vanessa Gaffar; Asep Miftahuddin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.717

Abstract

As AI technologies rapidly progress, privacy and surveillance, cybersecurity, and governance have become increasingly pressing concerns that raise questions about how the narratives of risk and AI influence the market's perception of new technologies. As a component of the public discourse, it is becoming more and more a sign of trust or distrust in technology and a source of legitimation in the digital world. This study utilized a Social Network Analysis (SNA) and Text based analytical method to analyze the perception of the market on AI by analyzing the AI risk narratives in the online public discourse. Data were gathered from X (formerly Twitter) using the SocialX platform over the first quarter of 2026 (1st January-31st March 2026) and found to be 2,883 public posts. The analysis combined trend analysis, sentiment analysis, temporal word analysis, text network analysis, BERTopic topic modeling, zero-shot classification, and SNA. The results showed an attitude of caution, with neutral (57.86%) and negative sentiment (35.93%) dominating the AI risk discourse, suggesting that the public isn't entirely positive about AI. Most prevalent data privacy issues were Data Privacy Risk (43.81%), Surveillance and Control Risk (21.19%) and Cybersecurity Risk (11.24%). Text network analysis further identified data, training, and surveillance as central themes within the discourse. This study contributes theoretically by integrating Framing Theory, Perceived Risk Theory, and market legitimacy perspectives to explain AI risk narratives as indicators of market perception. In practical terms, the results offer insights for trust-building in AI, responsible communication, and technology branding strategies.
Does Individual Performance Mediate the Effect of Organizational Commitment on Job Satisfaction of Village Government Apparatus? Irfandi Buamonabot; Muhammad Asril Arilaha; Suratno Amiro
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.722

Abstract

The purpose of this study was to examine the role of individual performance in mediating the relationship between organizational commitment and job satisfaction among village government employees in West Halmahera Regency, North Maluku Province. Using a hierarchical regression methodological approach, the prerequisites for direct effects between organizational commitment, individual performance, and job satisfaction were simultaneously tested. The sample in this study consisted of 133 respondents consisting of village heads, village secretaries, and heads of divisions (finance, general affairs, and planning) selected using a questionnaire survey method. Data were analyzed using validity and reliability tests, as well as simple linear and hierarchical regression. The results showed that all tests of direct relationships as prerequisites for mediation were successfully empirically supported. Furthermore, the main contribution of this study is proving that individual performance significantly acts as a mediating variable in the relationship between organizational commitment and employee job satisfaction. This finding emphasizes the importance of managing village apparatus performance in order to translate organizational commitment into optimal job satisfaction.
Area of Plantation Crops to the Contribution of the Plantation Sector in South Halmahera Regency in 2017-2023 Ruliyanto Syahrain; Fahima Nasar; Muhammad Khotib; Muhammad Kamal
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.723

Abstract

Although not all sub-districts have lost their plantation land, mining activities in the upstream and downstream forest areas have had an indirect impact on the decline in the productivity of the remaining plantation land in the surrounding area. Therefore, this study aims to examine the extent of plantation crops on the contribution of the plantation sector in South Halmahera Regency. This research was conducted in 2024. The design of this study is quantitative research using secondary data sourced from the Central Statistics Agency (BPS). This study itself is for the purpose of testing the hypothesis using a simple linear regression analysis tool. The statistical results show β = 0.119 t = 0.605 sig = ≥ 0.05. This study reveals that the area of plantation crops has no contribution to the plantation sector in South Halmahera Regency. The main causes are many clove and coconut trees have entered the old/damaged plant phase, a very massive surge in investment in the nickel mining sector and the upstream-downstream processing industry and the price of commodities such as copra (coconut processing) and dried cloves at the farmer level which are often uncertain.
Regional Taxes as a Pillar for Increasing PAD: Analysis of Effectiveness, Contribution, and Efficiency in North Maluku Province Muhammad Khotib; Muhammad Hasnin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.724

Abstract

This study aims to strengthen fiscal independence by increasing the effectiveness of tax revenue, administrative efficiency, and taxpayer awareness, so that regional taxes truly become a pillar of increasing regional revenue (PPH) in North Maluku. The type of data used is secondary data in the form of reports on the realization of the State Revenue and Expenditure Budget (PPH), specifically data on regional tax revenue, PPH, and tax revenue costs for the 2020–2024 period. Data were obtained from official documents of the Regional Financial Management Agency (BAPENDA) and publications from the Central Statistics Agency (BPS). The data analysis method was carried out in three stages. First, effectiveness analysis, namely by calculating the ratio of regional tax realization to the regional tax target. Second, contribution analysis, namely by calculating the ratio of regional tax realization to total PPH. Third, efficiency analysis, namely by calculating the ratio between revenue costs and regional tax realization. The results of the analysis were then categorized based on the effectiveness, contribution, and efficiency assessment standards commonly used in regional financial research.
Mapping Digital Conversation Networks of Collector Communities on Platform X: A Study of Blind Box Product Information Diffusion Nanda Herliana; Eka Surachman; Asep Miftahuddin
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.732

Abstract

The blind box phenomenon has created a complex digital conversation ecosystem on Platform X (formerly Twitter), where collector communities exchange information, unboxing experiences, and social validation. This study maps the digital conversation network structure of blind box collector communities on Platform X and traces product information diffusion patterns within it. Data were collected via the SocialX platform using the keywords “blind box” AND (“collector” OR “collection” OR “unboxing” OR “trading”), yielding 995 tweets from 716 unique accounts (January 15 to June 14, 2026), predominantly in English (77.8%) and Indonesian (11.3%). Five analytical methods were integrated: Social Network Analysis (SNA), Dynamic Network Analysis, Trend Analysis, Sentiment Analysis, and Text Network Analysis. The findings reveal a highly fragmented mention network divided into numerous small isolated clusters with content-resharing accounts (such as @youtube) and niche marketplace accounts (such as @chimpershq) emerging as the two dominant hubs. Dynamic network analysis confirmed that both hubs persisted consistently over time, indicating centralized information diffusion concentrated among a small number of actors. Trend analysis identified 11 conversation spikes concentrated in January to February 2026, followed by a significant decline in March to April, before recovering in June 2026. Sentiment analysis showed that community conversations were dominated by positive sentiment (42.71%), followed by neutral (37.59%) and negative (19.70%). Text network analysis revealed that unboxing, collection, series, and secret were the central concepts organizing community discourse. These findings contribute empirically to understanding how niche collector communities form and disseminate information on social media, while offering practical implications for digital marketing strategies targeting collectible product communities.
Beyond Income in Transition Economies: Evaluating Multidimensional Poverty, Informal Employment, and Market Restructuring in Uzbekistan Abdumalik Oripov; Islomjon Bakhromov
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.736

Abstract

Conventional income-based poverty metrics have consistently demonstrated inadequate diagnostic effectiveness in transition countries, as post-Soviet restructuring has transformed welfare conditions in ways that monetary consumption measures cannot adequately capture. This paper examines Uzbekistan's methodological and policy move from measuring monetary poverty to a multidimensional, capability-based framework, situating this transition within the wider backdrop of economic change and social policy reform in Central Asia. The analysis employs the Alkire-Foster methodology to implement a national Multidimensional Poverty Index (MPI) that includes the fundamental dimensions of education, health, and living standards, while systematically incorporating labor market dynamics and informal employment into the capability assessment. The study identifies the key non-income factors influencing welfare, emphasizing international migration and remittances as vital economic mechanisms: migration reduces perceived poverty and reallocates household spending towards health and non-food consumption, alleviating capability deprivation. Moreover, community-focused social support from mahalla organizations and strategic state investments in human capital are vital institutional mechanisms for skill development; however, regional disparities and distributional inefficiencies hinder their fair accessibility in the labor market. The utilization of sub-national instruments, specifically the Child Well-Being Index and the Poverty Resilience Index, illustrates the practical importance of multidimensional metrics for focused policy assessment. By incorporating these dimensions into a mixed-methods framework that amalgamates MPI data, qualitative institutional evidence, and household survey analysis, the paper demonstrates that an evidence-based, capability-oriented approach—alongside labor market formalization—serves as a markedly more effective tool for poverty alleviation in Uzbekistan compared to traditional income-centric strategies.

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