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All Journal Kompeten: Jurnal Ilmiah Ekonomi dan Bisnis Economics and Business Journal Journal of Artificial Intelligence and Digital Business Indonesian Journal of Multidisciplinary on Social and Technology Indonesian Journal of Innovation Multidisipliner Research Jejak digital: Jurnal Ilmiah Multidisiplin
Mufidatul Azmi
Universitas Negeri Makassar
Chemical Engineering, Chemistry & Bioengineering 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 Social Sciences Other

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Determination of Employee Performance through Emotional and Spiritual Intelligence: A Systematic Literature Review Andi Nurfiana Haz; Mufidatul Azmi; Nidrah Nidrah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.9016

Abstract

Digital transformation has profoundly altered the landscape of the workplace and triggered high levels of work stress and digital fatigue among employees. This study aims to analyze the influence of emotional intelligence and spiritual intelligence on employee performance through a literature review approach. The research method employed is a literature review by examining scholarly articles retrieved from the Google Scholar database using the keyword “the effect of emotional intelligence on employee performance.” From the initial search, 96 scholarly articles were identified, which were then rigorously screened until 6 articles most relevant to the research objectives were selected. The findings indicate that emotional intelligence has a positive and significant effect on employee performance because it helps individuals manage work stress, build harmonious interpersonal relationships, and improve adaptability in facing modern work dynamics such as hybrid work systems and digital fatigue. In addition, spiritual intelligence has also been proven to positively affect employee performance through the enhancement of integrity, intrinsic motivation, sense of responsibility, and deeper meaning in work. The strong synergy between emotional intelligence and spiritual intelligence has been shown to strengthen employee engagement and create a more humanistic and sustainable work environment. Therefore, organizations need to integrate the development of employees’ emotional and spiritual aspects into formal training programs as a key strategy to improve productivity, mental well-being, and overall work effectiveness in the era of digital transformation.
What Drives Continuous Viewing of Short Form Drama? The Role of Viewing Motivation and Flow Experience Mufidatul Azmi; Muhaidir Ikram; Nidrah
Economics and Business Journal (ECBIS) Vol. 4 No. 5 (2026)
Publisher : PT. Maju Malaqbi Makkarana

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

Abstract

The rapid expansion of short-form video platforms has reshaped the way audiences engage with digital entertainment. Among these formats, short-form drama has emerged as a distinctive narrative genre characterized by episodic storytelling within brief viewing durations. Despite its increasing popularity, empirical research explaining the psychological mechanisms underlying Continuous Viewing Intention in short-form drama remains limited. This study investigates the influence of Viewing Motivation on Flow Experience and Continuous Viewing Intention. In this study, Viewing Motivation is conceptualized as a higher-order construct comprising Performance Expectancy, Social Influence, Hedonic Motivation, Habit, Substitute Expectancy, and Aesthetic Motivation. Data were collected through an online survey involving 140 respondents in Makassar who actively consume short-form drama content. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that Viewing Motivation significantly influences both Flow Experience and Continuous Viewing Intention. Furthermore, Flow Experience significantly affects Continuous Viewing Intention and mediates the relationship between Viewing Motivation and Continuous Viewing Intention. These findings underscore the importance of motivational drivers and immersive viewing experiences in fostering sustained engagement with short-form drama content
Indonesian Stock Market Reaction to the Escalation of the 2026 Iran Conflict: Evidence from an Event Study of Energy Sector Firms Nidrah; Rika Kurniawati; Mufidatul Azmi
Economics and Business Journal (ECBIS) Vol. 4 No. 5 (2026)
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v4i5.409

Abstract

This study examines the reaction of the Indonesian capital market to the escalation of the Iran conflict in 2026 using an event study approach focusing on energy sector firms listed on the Indonesia Stock Exchange. Market reactions are measured using Average Abnormal Return (AAR) and Trading Volume Activity (TVA). The observation period includes an 11-day event window (t−5 to t+5) and a 100-day estimation period. Statistical tests employed include the Shapiro–Wilk normality test, one-sample t-test, paired sample t-test, and Wilcoxon Signed Rank Test. The findings indicate that abnormal returns are only significant around the event date but do not differ significantly between pre- and post-event periods. In contrast, trading volume activity shows consistent and significant changes. These results suggest that geopolitical conflict information is more strongly reflected in trading behavior than in price adjustments. This study contributes to the literature by providing sector-specific evidence from an emerging market and highlighting behavioral market responses.
Analyzing User Sentiment Toward the Stimuler AI: English Fluency Application Through Google Play Store Reviews Mufidatul Azmi; Muh. Nurfadel Hamzah; Chairunnisaa M. Z. Huzaen
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 2 (2026): Maret - Juni
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i2.9033

Abstract

This study aims to analyze user sentiment toward the Stimuler AI: English Fluency application based on reviews collected from the Google Play Store using the IndoBERT model. The increasing popularity of AI-based language learning applications has generated numerous user reviews containing opinions, experiences, and complaints. Therefore, sentiment analysis is needed to understand user perceptions and evaluate application quality efficiently. This research employed a quantitative approach using sentiment analysis techniques. User reviews were collected through web scraping using Python and the google-play-scraper library. A total of 3,640 reviews were initially collected, and after language filtering, 1,653 Indonesian-language reviews were selected as the final dataset. The preprocessing stages included case folding, cleaning, stopword removal, and slang normalization. Exploratory data analysis and topic analysis were also conducted to identify dominant sentiment patterns and user concerns. The sentiment classification process utilized the IndoBERT model with three sentiment classes: positive, neutral, and negative. The results showed that positive sentiment dominated the dataset, indicating that most users were satisfied with the application’s learning features and speaking practice capabilities. Meanwhile, the main negative issues included bugs, subscription problems, and voice detection issues. Furthermore, the IndoBERT model achieved an accuracy score of 90.57% and an F1-score of 89.01%, indicating effective performance in classifying Indonesian-language application reviews.
Exploring Audience Responses To The Pelangi Di Mars Movie Trailer On Youtube Mufidatul Azmi; Chairunnisaa M.Z. Huzaen; Fitriani Rahim
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 2 (2026): April - Juni
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i2.714

Abstract

  This study examined audience responses toward the Pelangi di Mars movie trailer on YouTube using sentiment analysis and topic modelling approaches. The data were collected from the YouTube comment section on March 10, 2026, resulting in 3,006 comments used as the research dataset. The comments were processed through several preprocessing stages, including text cleaning, tokenization, stopword removal, stemming, and normalization. Sentiment analysis was conducted using the IndoBERT pre-trained model to classify comments into positive, neutral, and negative categories, while Latent Dirichlet Allocation (LDA) was applied to identify dominant discussion topics within audience comments. The findings show that positive sentiment dominates audience responses, accounting for 73.7% of the total comments, followed by 13.9% neutral comments and 12.4% negative comments. Topic modelling reveals five major discussion themes related to animation quality, cinema enthusiasm, Hollywood comparison, story appreciation, and the development of the Indonesian animation industry. In addition, the IndoBERT model achieves an accuracy score of 94%, indicating strong performance in classifying Indonesian-language YouTube comments. The study concludes that YouTube comments function as electronic word of mouth (e-WOM) that influences public perception and supports digital film promotion and audience engagement in the entertainment industry.
Kajian Komparatif: Career Adaptability sebagai Indikator Kesiapan SDM Mahasiswa Manajemen Universitas Negeri Makassar Muhaidir Ikram; Mufidatul Azmi
Kompeten: Jurnal Ilmiah Ekonomi dan Bisnis Vol. 4 No. 6 (2026): Mei 2026
Publisher : PT Seval Literindo Kreasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57141/kompeten.v4i6.256

Abstract

Perubahan dunia kerja yang semakin dinamis menuntut mahasiswa memiliki career adaptability sebagai sumber daya psikososial untuk menghadapi transisi dari pendidikan ke dunia kerja. Penelitian ini bertujuan menganalisis tingkat career adaptability mahasiswa Program Studi Manajemen Universitas Negeri Makassar serta menguji perbedaannya berdasarkan angkatan. Penelitian ini menggunakan pendekatan kuantitatif dengan desain komparatif. Populasi penelitian berjumlah 851 mahasiswa aktif angkatan 2021, 2022, dan 2023, dengan sampel 130 responden yang ditentukan melalui proportionate stratified random sampling. Data dikumpulkan menggunakan kuesioner yang mengukur empat dimensi career adaptability, yaitu concern, control, curiosity, dan confidence. Analisis data dilakukan dengan statistik deskriptif dan uji One-Way ANOVA menggunakan SPSS versi 25. Hasil penelitian menunjukkan bahwa seluruh dimensi career adaptability berada pada kategori sedang. Dimensi concern merupakan aspek yang paling menonjol, sedangkan confidence menjadi aspek terendah. Secara deskriptif, mahasiswa angkatan 2022 memiliki kecenderungan skor lebih tinggi dibandingkan angkatan 2021 dan 2023. Namun, hasil ANOVA menunjukkan tidak terdapat perbedaan yang signifikan berdasarkan angkatan. Temuan ini menegaskan bahwa pengembangan career adaptability perlu dilakukan secara berkelanjutan pada seluruh angkatan.
Engagement Audiens dalam Komentar YouTube Video Musik BLACKPINK: Analisis Sentimen dan Topik dalam Mengidentifikasi Consumer Insight Mufidatul Azmi; Muhaidir Ikram
Kompeten: Jurnal Ilmiah Ekonomi dan Bisnis Vol. 4 No. 6 (2026): Mei 2026
Publisher : PT Seval Literindo Kreasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57141/kompeten.v4i6.257

Abstract

Penelitian ini mengkaji engagement audiens terhadap video musik BLACKPINK “GO” di YouTube melalui analisis sentimen dan pemodelan topik terhadap 3.822 komentar pengguna berbahasa Inggris. Pendekatan deskriptif kuantitatif dengan teknik text mining digunakan, dengan memanfaatkan leksikon VADER untuk klasifikasi sentimen dan metode Latent Dirichlet Allocation (LDA) untuk ekstraksi topik. Hasil penelitian menunjukkan bahwa sentimen positif mendominasi sebesar 45,50%, diikuti oleh sentimen netral sebesar 40,69% dan negatif sebesar 13,81%, yang mengindikasikan penerimaan pasar yang cenderung positif. Analisis tematik menunjukkan bahwa sentimen positif didorong oleh keterikatan emosional dan identitas fandom, sementara sentimen netral mencerminkan perilaku partisipatif seperti dukungan terhadap aktivitas streaming, yang berkontribusi terhadap amplifikasi konten. Sentimen negatif menyoroti kekhawatiran terkait persepsi keadilan dalam representasi konten, yang berpotensi memengaruhi persepsi merek. Model yang digunakan mencapai tingkat akurasi sebesar 86%, yang menunjukkan keandalan pendekatan yang digunakan. Temuan ini menunjukkan bahwa analisis komentar YouTube dapat dimanfaatkan sebagai pendekatan untuk menggali consumer insight secara real-time, yang dapat mendukung perumusan strategi konten, penentuan target audiens, serta pengelolaan komunikasi merek, khususnya pada fase awal perilisan. Penelitian selanjutnya disarankan untuk memperluas sumber data pada berbagai platform digital guna memperoleh pemahaman yang lebih komprehensif mengenai perilaku audiens.  
Sentimen Audiens terhadap Platform Short-Form Drama: Analisis Sentimen dan Topik Ulasan DramaBox Mufidatul Azmi; Andi Nurfiana Haz
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 2 (2026): MARET 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/spt0jy20

Abstract

Pertumbuhan pesat platform short-form drama telah mengubah pola konsumsi media digital, khususnya di kalangan pengguna perangkat mobile yang cenderung menyukai konten naratif berdurasi singkat. Penelitian ini menganalisis sentimen audiens terhadap aplikasi short-form drama DramaBox untuk menghasilkan wawasan yang dapat dimanfaatkan dalam perumusan strategi pemasaran digital. Sebanyak 134.309 ulasan pengguna dikumpulkan dari platform distribusi aplikasi, dan setelah dilakukan penyaringan bahasa, diperoleh 1.228 ulasan berbahasa Indonesia yang digunakan sebagai data analisis. Klasifikasi sentimen dilakukan menggunakan model berbasis IndoBERT, sedangkan topic modeling menggunakan Latent Dirichlet Allocation (LDA) diterapkan untuk mengidentifikasi topik-topik dominan pada sentimen positif dan negatif. Hasil penelitian menunjukkan bahwa sentimen audiens terhadap DramaBox didominasi oleh sentimen positif, yang mencerminkan apresiasi pengguna terhadap kualitas cerita, daya tarik narasi, dan pengalaman hiburan secara keseluruhan. Analisis topik pada ulasan positif menegaskan kekuatan platform pada aspek konten dan kenikmatan menonton. Sebaliknya, analisis sentimen negatif mengungkap isu berulang terkait intensitas iklan, mekanisme monetisasi, aksesibilitas episode, serta kinerja teknis aplikasi. Temuan ini menunjukkan bahwa analisis sentimen dan topik pada ulasan pengguna dapat dimanfaatkan sebagai alat intelijen pemasaran untuk mendukung strategi positioning konten, optimalisasi monetisasi, serta peningkatan pengalaman pengguna pada platform short-form drama
Co-Authors Andi Nurfiana Haz Chairunnisaa M. Z. Huzaen Chairunnisaa M.Z. Huzaen Fitriani Rahim Muh. Nurfadel Hamzah Muhaidir Ikram Nidrah Nidrah, Nidrah Rika Kurniawati