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International Journal of Humanities Education and Social Sciences
Published by CV. AFDIFAL MAJU BERKAH
ISSN : 28081765     EISSN : 28081765     DOI : https://doi.org/10.55227/ijhess.v1i1
Core Subject : Economy, Humanities, Education, Social,
Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other
International Journal Of Humanities Education and Social Sciences (IJHESS) is to provide a research medium and an important reference for the advancement and dissemination of research results that support high-level research in the fields Culture of Education and Social Science Research . Original theoretical work and application-based studies, which contributes to a better understanding all fields of Education and Social Science Research (Humanities, Education, Sosial Science), this journal publishes articles six times in a year on August, October, December, Februari, April and June. Humanities : Theology Philosophy History Philology Linguistics Literature Art Psychology Archaeology Education: Education Policy and Leadership Business Education Educating the educators Professional Development for teachers in ICT Teacher Evaluation Virtual and remote laboratories Pedagogy Enhancement with E-Learning Course Management Systems Web-based tools for education Games and simulations in Education Learning / Teaching Methodologies and Assessment Curriculum, Research and Development Counselor Education Integrating technology in curriculum: Challenges & Strategies Collaborative & Interactive Learning Tools for 21st Century learning Learning Analysis Student Selection Criteria in Interdisciplinary Studies Global Issues in Education and Research Technology Support for Pervasive Learning Artificial Intelligence, Robotics and Human computer Interaction in Education Mobile/ubiquitous computing in education Web 2.0, Social Networking, Blogs and Wikis Multimedia in Education Social Science: Economics Political Science Sociology History Anthropology Commerce Social Work Home Science Public Administration Pupolation Studies Management Education Physical Education Law Library and Information Science Mass Communication and Journalism Geography Computer Environmental Human Right Tourism
Arjuna Subject : Seni dan Humaniora - Seni dan Humaniora (Lain-Lain)
Articles 1,236 Documents
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The Influence of Social Media Marketing Activities on Customer Loyalty A Study of the E-commerce Industry Dede Haikal Fahmi Mubarok; Adi Setiawan
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2366

Abstract

The swift expansion of e-commerce in the digital age has encouraged businesses utilize social media as a primary marketing tool to build customer loyalty. This paper is intended to analyze the influence of social media marketing activities (SMMA) on customer loyalty by using Customer Equity Drivers—comprising value equity, brand equity, and relationship equity—as mediating variables. This investigation utilizes a quantitative technique with an explanatory design. The study gathered data via questionnaires from 65 active e-commerce users in Cirebon City using accidental sampling. Data analysis utilized path analysis in order to examine the relationships occurring directly and indirectly considering the Stimulus–Organism–Response(SOR) models. The outcomes reveal that SMMA contribute positively to Customer Equity Drivers, and all dimensions significantly influence customer loyalty. These findings indicate that Customer Equity Drivers act as mediators in the relationship between social media marketing activities and customer loyalty.
Draft Jurnal IJHESS_Evaluasi Terintegrasi Energi Terbarukan dan Lalu Lintas untuk Perlintasan Kereta Api Otomatis di Indonesia Rafi Hafizh Hawari; Hardjana Hardjana; Dita Rama Insiyanda
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2389

Abstract

This study examines the feasibility of using renewable energy to power an automated railway level crossing and evaluates its operational effect on adjacent urban traffic. The case study was conducted at the officially recognized but unguarded crossing on Jl. Rawa Simprug III, South Jakarta. Methodologically, this study applied a quantitative simulation-based approach. Field observations were conducted to identify electrical load parameters and baseline traffic conditions. These primary data were evaluated using the PKJI 2023 framework for macroscopic capacity, while HOMER Pro and PTV VISSIM were utilized for microgrid energy simulation and microscopic traffic evaluation, respectively. The proposed crossing system had an installed connected load of 770 W, equivalent to approximately 17.20 kWh/day. Four hybrid energy scenario families were compared. The most attractive configuration was a grid-assisted system consisting of 5.55 kW solar PV, six battery units, and grid backup, which produced the lowest reported net present cost of about IDR 40.9 million and electricity cost of about IDR 427.12/kWh. Under existing traffic conditions, the site operated at 1,752 pcu/h with a degree of saturation of 1.14, average delay of 29.31 s/veh, and level of service D. After implementation and traffic engineering, the best scenario reduced the degree of saturation to 0.74 and average delay to 12.59 s/veh, improving the level of service to B. The findings show that solar-led hybrid power is technically suitable for the study site, while traffic benefits depend on coordinated operation with the surrounding road network
Integrating Generative AI in English Listening Instruction: A Multi-Perspective Analysis of Teacher and Students Perceptions Teguh Putra Anugrah; Dedi Irwan; Rahayu Meliasari
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2390

Abstract

The existence of artificial intelligence (AI) today can help teachers create contextual listening materials through tools like ChatGPT and Google AI Studio. This study aims to determine the perceptions of an English teacher and students regarding the use of AI in contextual listening materials. Employing a qualitative approach with a descriptive design, the research involved an English teacher and six students at State Junior High School 1 Balai. Data were collected through interviews and observations and analyzed using thematic analysis. The findings revealed that students perceived AI-generated contextual materials as significant for augmenting listening skill through clearer pronunciation and digestible content. The integration of local stories, such as "Mangkit hamlet," fostered higher engagement, enjoyment, and cultural relevance. From the teacher's perspective, GenAI served as a bridge to develop contextual materials efficiently, allowing for the customization of content to reflect students' daily lives and local heritage. Furthermore, collaboration with the researcher supported the teacher's professional competencies in navigating AI tools. Despite these benefits, challenges such as the need for stylistic audio refinements, teacher training, and stable infrastructure (internet and electricity) were identified as crucial factors for successful classroom integration.
Contextualizing EFL Listening through AI: A Study on Perception of Students and Teacher Novita Andini; Dedi Irwan; Rahayu Meliasari
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2391

Abstract

This research aims to examine students’ and teacher’s perceptions of the use of Generative Artificial Intelligence (GenAI) tools specifically ChatGPT and Google AI Studio in context-based English language learning. This study employs a qualitative descriptive design. The participants consisted of two female students, one male student, and an English teacher from a senior high school in Pontianak. Data were collected through semi-structured interviews and non-participant observation, then analyzed using thematic analysis. The research findings regarding student perceptions indicate that GenAI-based listening materials enhance student engagement and motivation because they are more relevant to their daily lives. Students also found it easier to understand the material, remember vocabulary, and felt more confident in their learning. From the teacher’s perspective, GenAI helps in creating learning materials more efficiently and contextually. However, there are several challenges, such as infrastructure limitations and the need to improve teacher’s competencies in using technology. Overall, the use of GenAI in contextual listening instruction has a positive impact on the learning process, although it still requires further development and support for optimal implementation
The Effect of Loving-Kindness Meditation and Self-Confidence on the Learning Outcomes of Students at SMA Negeri 1 Tanjung, North Lombok Sulan Sulan; Mettadewi Wong; Pratama Eka Putra
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2400

Abstract

This study was motivated by the low learning outcomes of students at SMA Negeri 1 Tanjung, North Lombok, which became a major concern, particularly because many students experience academic anxiety and low self-confidence that hinder active participation and understanding of Buddhist Religious Education material. Initial observations revealed that students were reluctant to express opinions, easily distracted, and lacked focus during lessons. Loving-Kindness Meditation (Metta Bhavana) has been implemented at the school to enhance mental calmness and concentration; however, its effectiveness has not yet been empirically validated. Therefore, this study was conducted with the aim of examining the influence of Loving-Kindness Meditation and self-confidence, both individually and simultaneously, on students’ learning outcomes in Buddhist Religious Education, with the intention of providing empirical evidence regarding the role of spiritual and psychological aspects in supporting academic achievement. This study employed a quantitative method using numerical data to measure the influence of Loving-Kindness Meditation and self-confidence on learning outcomes. Data collection techniques were carried out through questionnaires, documentation, and limited observation. The questionnaires were distributed to 100 Buddhist students at SMA Negeri 1 Tanjung as research respondents, who were selected using purposive sampling. Documentation was used to obtain supporting data related to students’ learning outcomes, while limited observation was conducted to examine the initial learning conditions and students’ behavior during the learning process. All data were then objectively analyzed using SmartPLS through the statistical technique of Structural Equation Modeling (SEM) to assess the relationships between variables, including the simultaneous effect of Loving-Kindness Meditation and self-confidence on students’ learning outcomes. The results of this study indicate that Loving-Kindness Meditation (X1) has a positive and significant effect on students’ learning outcomes (Y), and self-confidence (X2) also has a positive and significant influence. Furthermore, simultaneous analysis shows that both variables together significantly affect students’ learning outcomes. Therefore, these two variables play an important role in enhancing the quality of learning.
Exploring Sixth Graders' Interest in English Language Learning : A Descriptive Study in Ngabang Aswan Aswan; Aunurrahman Aunurrahman; Maliqul Hafis
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2415

Abstract

This study aimed to investigate the level of students' interest in learning English at a public primary school in Ngabang in the academic year 2025/2026. This research employed a quantitative descriptive survey design. The population of this study consisted of sixth-grade students. The sample was selected using a total sampling technique, involving all students as participants. The instrument used in this study was a closed-ended questionnaire consisting of 14 items. After conducting a pilot test, two items were found to be invalid and excluded. This resulted in 12 valid items used in the main data collection. The data were analyzed using descriptive statistics, including mean scores and percentages. The findings showed that the overall mean score of students' interest was 3.44, which was categorized as "Very High". Based on the two measured aspects, namely knowledge of English and need for English, the results indicated that students possessed adequate basic knowledge and strong curiosity toward learning English. However, their exposure to the language outside the classroom was relatively limited. Furthermore, students demonstrated a high perception of the importance of English for their future, including education, communication, and career opportunities. In conclusion, students at a public primary school in Ngabang exhibited a very high level of interest in learning English. This finding suggests that students are psychologically ready to learn English despite limited(Schiefele, 1991) external exposure. Therefore, English teachers and school administrators should provide more interactive learning activities and increase exposure to support the learning process.
The Effect Of Reward And Job Satisfaction On Employee Performance At Arteria Daya Mulia Hilmi Fajriansyah; Siti Maryam
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2417

Abstract

Suboptimal labor productivity is a sign of issues with employee performance that can be impacted by a number of things, such as rewards and job satisfaction implemented by the company. Using a quantitative associative design, this research seeks to analyze how rewards and job satisfaction affect employee performance at PT Arteria Daya Mulia. The study involved 110 respondents selected through purposive sampling, with data collected using a five-point Likert scale questionnaire and analyzed using multiple linear regression, t-tests, and F-tests. The regression equation for this relationship is Y = -3.162 + 0.572X₁ + 0.628X₂. The results showed that Reward significantly affected Employee Performance (t = 9.310) and Job Satisfaction also had a significant effect (t = 13.261). Simultaneously, Reward and Job Satisfaction significantly influenced Employee Performance (F = 143.086) and explained 72.3% of the variance in employee performance. These findings suggest that effective reward management and high job satisfaction contribute significantly to improving employee performance.
Phonemic Hermeneutics of Eschatological Intonation in Sūrat Al-Qiyāmah Recitation Ahid Ilham Zulfiqar; Diyan Rifky Ramdhani; Lina Marlina
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2418

Abstract

This study aims to analyze the eschatological pitch movements in Misyārī Rāsyid al-‘Afāsī’s recitation of Sūrat Al-Qiyāmah and to interpret their semantic-pragmatic meanings through al-‘Ani’s pitch-level framework. Using a descriptive qualitative phonemic approach, this study examines twenty-nine eschatological verses selected from Sūrat Al-Qiyāmah based on classical exegetical boundaries. The primary data were obtained from al-‘Afāsī’s murattal audio recitation, while the semantic baseline was established through six authoritative tafsir works. Data were collected through repeated listening, note-taking, pitch-pattern classification, and digital pitch-contour visualization. The analysis applied Nasution’s five-category pitch typology and al-‘Ani’s four-level pitch notation. The findings show that falling pitch dominates the corpus, appearing in 41.4% of the verses, followed by falling-rising pitch at 31.0%, rising-falling pitch at 17.2%, rising pitch at 6.9%, and flat pitch at 3.4%. The application of al-‘Ani’s framework indicates that 37.9% of the data show semantic-pragmatic congruence, 13.8% show incongruence, and 48.3% remain undetermined due to the complexity of Qur’anic illocutionary functions. The most significant finding appears in Q. 75:40, where an interrogative construction is recited with falling pitch to encode absolute theological affirmation. This study proposes the concept of phonemic hermeneutics, namely the interpretive function of pitch in Qur’anic recitation. The findings contribute to Arabic prosody, Qur’anic phonology, and taḥsīn pedagogy by showing that intonation is not merely vocal ornamentation, but a semantic-pragmatic device that supports meaning-conscious recitation.
YouTube Sentiment Analysis on Felt Earthquake News Using LSTM and IndoBERT Oktifar Tri Bandono; Agung Budi Susanto; Makhsun Makhsun
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2420

Abstract

This study analyzes public sentiment in YouTube comments on felt-earthquake news in Indonesia and compares a bidirectional Long Short-Term Memory implementation (LSTM) with IndoBERT. An experimental quantitative design was used. Comments were collected through the YouTube Data API v3 using official earthquake-event references from the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) and keyword-based video searches covering January 2021 to August 2025. The acquisition stage produced 51,870 comments from 1,626 unique videos. Data were processed through duplicate removal, text cleaning, case folding, slang normalization, tokenization, and stopword removal, resulting in 49,041 clean comments. Positive, negative, and neutral labels were assigned by aggregating word-polarity scores from the Indonesian Sentiment Lexicon (InSet), which served as weak supervision. Stratified sampling divided the dataset into 80% training data and 20% testing data. The LSTM model used a 100-dimensional embedding, a 64-unit bidirectional LSTM layer, global max pooling, and early stopping; IndoBERT was fine-tuned from indobenchmark/indobert-base-p2 for four epochs. Performance was assessed with accuracy, macro precision, macro recall, macro F1-score, and confusion matrices. Positive sentiment accounted for 41.2% of the corpus, negative sentiment for 35.5%, and neutral sentiment for 23.2%. IndoBERT achieved 91.50% accuracy and a 91.03% macro F1-score, outperforming LSTM at 90.91% accuracy and a 90.34% macro F1-score. IndoBERT provided the strongest contextual classification, while LSTM remained a competitive and substantially lighter option for resource-constrained monitoring
Pengaruh Flash Sale dan Live Streaming terhadap Pembelian Impulsif melalui Rasa Takut Ketinggalan (FOMO) di TikTok Shop Moch Ilham Firmansyah; Ika Diyah Candra Arifah; Ratih Amelia; Nadia Nur Thahirrah
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 6 No 1 (2026): IJHESS AUGUST 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v6i1.2427

Abstract

This study aims to analyze the impact of Flash Sale and Live Streaming on Impulsive Buying with the fear of missing out (FOMO) factor positioned as a mediating variable related to TikTok Shop consumers. My study uses a quantitative approach using the causal associative method. Data were collected through an online questionnaire to 100 TikTok Shop user respondents, and then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 for analyze relatedness between Flash Sale, Live Streaming, FOMO, and Impulsive Buying . The results of the study show that Flash Sale has a positive and significant effect on FOMO, Live Streaming has a positive and significant effect on FOMO, Flash Sale has a positive and significant effect on Impulsive Buying, Live Streaming has a positive and significant effect on Impulsive Buying, and FOMO has a positive and significant effect on Impulsive Buying. FOMO is also proven to mediate the influence of Flash Sale and Live Streaming on Impulsive Buying. These findings indicate that promotional stimuli and digital shopping interactions can encourage impulsive buying through the fear of missing out on offers.

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