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All Journal Jurnal Pendidikan Bahasa Jepang Undiksha JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) J-Litera; Jurnal Kajian Bahasa, Sastra dan Budaya Jepang Kompleksitas: Jurnal Ilmiah Manajemen, Organisasi, dan Bisnis Journal of Social Interactions and Humanities (JSIH) Innovative: Journal Of Social Science Research Journal of Internet and Software Engineering DBESTI: Journal of Digital Business and Technology Innovation
Lestari, Humannisa Rubina
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Enriching Grammatical Understanding of Using Japanese Part of Speech in Dokkai Learning with the AI-Powered Oyomi Application Mahira, Nisrina Ishmah; Pratiwi, Iswi Nur; Putri, Evlyn Jane; Yanti, Sevia Dwi; Afifah, Najla Putri; Hidayat, Daffala Viro; Ramadhan, Husni Mubarok; Lestari, Humannisa Rubina
Journal of Internet and Software Engineering Vol. 1 No. 2 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pjise.v1i2.2617

Abstract

This research focuses on the impact of the Oyomi application on the comprehension of Japanese word classes (part of speech) and sentence structures. The primary issue addressed is the need for efficient and effective language learning tools. The objective is to explore the role of artificial intelligence (AI) within the application in enhancing Dokkai learning. The methodology encompasses a comprehensive analysis of the two principal features contributing to Dokkai learning, the utilization of AI technologies, and a comparison between traditional learning vs AI-powered mobile learning methods. Data collection involved simple linear regression statistical analysis using an F-test and correlation coefficient to gauge the relationship between the usage of the AI-powered Oyomi application and the comprehension of word classes in Dokkai learning. The F test results of 0.01 < 0.05 indicate a significant contribution and a correlation coefficient of 0.8 means the strength of the relationship is very strong. These findings show that AI, when integrated into language learning applications like Oyomi, can provide a more efficient and effective learning experience, especially in Japanese reading comprehension.
Analisis Sentimen Tagar #KaburAjaDulu Pilihan Migrasi ke Jepang pada Platform X dengan NLP Meliala, Rajhaga Jevanya; Chasanah, Nur Indah; Manik, Jonser Steven Rajali; Pasya, Thoriq Muhammad; Lestari, Humannisa Rubina
DBESTI: Journal of Digital Business and Technology Innovation Vol 2 No 1 (2025): Mei, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/dbesti.v2i1.1756

Abstract

The hashtag #KaburAjaDulu, which went viral on platform X, reflects the concerns of Indonesian society—particularly among younger generations—regarding domestic social and economic pressures, as well as an increasing interest in migrating to Japan. This phenomenon illustrates the complexity of digital public opinion, yet few studies have specifically compared the effectiveness of different sentiment analysis algorithms within this context. Therefore, this study aims to analyze and compare public sentiment toward the #KaburAjaDulu hashtag, particularly about migration to Japan, using a Natural Language Processing (NLP) approach with three sentiment analysis algorithms: VADER, TextBlob, and BERT. A total of 1000 tweets were collected using scraping techniques, and after preprocessing, 967 tweets were included in the analysis. Sentiments were categorized into three classes: positive, negative, and neutral. The results show that VADER and TextBlob tend to classify tweets as neutral or positive, while BERT reveals a dominant negative sentiment of 52.3%. These findings suggest that BERT is more sensitive to context and implicit sentiment in the informal Indonesian language. This study highlights the importance of selecting appropriate algorithms for social media sentiment analysis and contributes to a deeper understanding of digital migration aspirations within Indonesian society.
PENGARUH FITUR SUBTITLE DAN AUDIO PADA PLATFORM STREAMING ANIME TERHADAP KEMAMPUAN MENYIMAK BAHASA JEPANG Alfatih, Muhammad Fillah; Salsabila, Nasywa Shafa; Hanifah, Nurrizkyta Aulia; Rachman, Muhammad Aqil Musthafa Ar; Lestari, Humannisa Rubina
Journal of Information System Management (JOISM) Vol. 7 No. 1 (2025): Juni
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v7i1.2112

Abstract

Popularitas anime di Indonesia meningkat pesat berkat kemudahan akses melalui platform streaming legal seperti Netflix, Bstation, dan Crunchyroll. Fenomena ini membuka peluang pemanfaatan anime sebagai media pembelajaran bahasa Jepang terutama dalam keterampilan menyimak. Meskipun penggunaan platform streaming semakin meluas, pemanfaatannya sebagai sarana pembelajaran bahasa asing masih belum banyak dikaji secara sistematis. Penelitian ini bertujuan untuk menganalisis hubungan antara fitur-fitur pada platform streaming anime seperti kualitas audio dan subtitle dengan kemampuan menyimak bahasa Jepang. Pendekatan yang digunakan adalah kuantitatif dengan metode deskriptif korelasional. Instrumen utama berupa kuesioner skala Likert 4 poin yang disebarkan secara daring kepada mahasiswa Sekolah Vokasi IPB yang merupakan penonton anime aktif dan memiliki pengalaman belajar bahasa Jepang. Data dianalisis menggunakan distribusi frekuensi dan kategori tingkat skor. Hasil penelitian menunjukkan bahwa fitur audio dan subtitle pada platform streaming dinilai sangat membantu dalam meningkatkan kemampuan menyimak, khususnya dalam memahami kosakata baru dan mengikuti kecepatan bicara penutur asli.
Peran Preferensi Konsumen Anime Genre Isekai Terhadap Generasi Z Fadhilah, Muhammad Rafi; Ramadhini, Yulanda Rizqi; Lestari, Humannisa Rubina; Raifa, Malvian Fikra; Fadhilah, Dany; Kusnadi, Khairunnisa Hayyu; Shafaresta, Nadhila; Yusuf, Ihzra Fahrullizian
J-Litera: Jurnal Kajian Bahasa, Sastra dan Budaya Jepang Vol 7 No 1 (2025): May 2025
Publisher : Program Studi Sastra Jepang, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jltera.2025.7.1.12127

Abstract

This research investigates the influence of consumer preferences for the Isekai anime genre among Generation Z in Indonesia. As a prominent element of Japanese popular culture, anime has achieved global popularity, particularly among young people, including those in Indonesia. The Isekai genre, known for its alternate world settings, engaging plots, and intricate characters, stands out as a top favorite. Utilizing a qualitative methodology, this study examines the factors that shape Generation Z's affinity for the Isekai genre and its connection to their demographic profiles. Data collection involved in-depth interviews and surveys with Generation Z individuals who are enthusiasts of Isekai anime. The results indicate that Generation Z is primarily drawn to the Isekai genre due to its unique narratives and otherworldly settings, along with its nuanced characters. Furthermore, their preferences are shaped by the convenience of streaming platforms, active fan networks, and the impact of social media. The study also highlights that a preference for Isekai anime significantly affects the attitudes and cultural consumption behaviors of Generation Z. This research offers critical insights for the anime industry to better engage and understand the Generation Z demographic. Additionally, it sheds light on how the Isekai anime genre can shape individual development within the realm of popular culture. By understanding Generation Z's preferences and the factors influencing them, anime creators can develop more targeted strategies to boost audience engagement and loyalty.
Penggunaan Aplikasi Duolingo sebagai Media Pembelajaran Tambahan Bahasa Jepang Mahasiswa TPL Angkatan 58: The Use of The Duolinggo Application as Additional Learning Media for Japanese Language by TPL Students of The 58th Cohort Aliya Raihana; Zulhilmi, Muhammad Indra; Khoerunnisa, Ratu Hasna Tsana; Cahyani, Salsabila Diba; Alen, Sheren; Fedrianingsih, Devi; Marwa, Muthiah Humaira; Lestari, Humannisa Rubina
Jurnal Pendidikan Bahasa Jepang Undiksha Vol. 11 No. 2 (2025): Japanese Language and Media
Publisher : Undiksha Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpbj.v11i2.79537

Abstract

This research aims to determine the effect between using the Duolingo application as an additional medium for learning Japanese and increasing Japanese language skills after using the Duolingo application for Software Engineering Technology (TPL) class 58 students. This research uses quantitative methods. Data was collected through an online questionnaire to measure students' Japanese language skills with a total of 41 respondents. The research results show that there is a strong correlation of 0.634 and a significant value of 0.000 between the use of the Duolingo application and improving the Japanese language skills of TPL class 58 students.
PENGARUH BUDAYA KERJA ANZEN DAI ICHI TERHADAP KESEJAHTERAAN TENAGA KERJA INDONESIA PADA PERUSAHAAN JEPANG (DAIWA HOUSE) Yusrina, Sri; Saputra, Ananda Prathama; Riupassa, Muhammad Hafidz; Nurfitriana, A.; Prayudo, Galih Ario; Alkautsar, Muhammad Farhan; Wardana, Aria; Lestari, Humannisa Rubina
KOMPLEKSITAS: JURNAL ILMIAH MANAJEMEN, ORGANISASI DAN BISNIS Vol 13, No 1 (2024): KOMPLEKSITAS EDISI JUNI 2024
Publisher : ITB Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/kompleksitas.vol13no1.520

Abstract

The purpose of this study is to understand how the Anzen Dai Ichi work culture impacts the well-being of Indonesian employees in Japanese companies. This study uses quantitative methods. In this research, samples were collected through non-probability sampling methods, and respondents were selected through purposive sampling. The data analysis method used in this study is linear regression. The results of the linear regression analysis indicate that the Anzen Dai Ichi work culture at Daiwa House Company has a positive and significant impact of 18.09% on the well-being of Indonesian employees, with the remaining 81.91% being influenced by other factors or variables.Studi ini bertujuan untuk mengetahui bagaimana budaya kerja Anzen Dai Ichi berdampak pada kesejahteraan karyawan Indonesia di perusahaan Jepang. Studi ini menggunakan metode kuantitatif. Dalam penelitian ini, sampel dikumpulkan melalui metode sampling non-probability, dan responden dipilih melalui metode sampling purposive. Metode analisis data yang digunakan dalam penelitian ini adalah regresi linear. Hasil analisis regresi linear menunjukkan bahwa budaya kerja Anzen Dai Ichi di Perusahaan Daiwa House memiliki pengaruh positif dan signifikan sebesar 18,09% terhadap kesejahteraan karyawan Indonesia, 81,91% sisanya dipengaruhi oleh faktor atau variabel lain.
Mengukur Pengalaman Pengguna Aplikasi MochiMochi Menggunakan User Experience Questionnaire Juliansyah, Rizki; Al Amin, Muhammad; Wicaksana, Arya Dimas; Anwar, Setiady Ibrahim; Lestari, Humannisa Rubina
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.18944

Abstract

This study aims to evaluate the UI (User Interface) and UX (User Experience) of the MochiMochi language learning application using the User Experience Questionnaire (UEQ) as the evaluation tool. A total of 90 users participated in this study and provided responses across six UX dimensions: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The results showed that all dimensions received positive ratings, with the highest average score found in the Efficiency dimension. These findings indicate that the application's UI is appealing and its UX is generally efficient. However, improvements are needed in the aspect of novelty to further enhance overall user satisfaction and interaction.
The Influence of Anime on Gen Z's Behavior and Social Interactions Cut Yasmin Zafira; Setiawati, Rieke; Zahrani, Regina Frida; Paramita, Allicia Galuh; Hendriyan, Amanda Pricillia; Farida, Rima Tria; Abdurrahman, Hasan; Lestari, Humannisa Rubina
Journal of Social Interactions and Humanities Vol. 3 No. 2 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jsih.v3i2.9600

Abstract

Popular Japanese animation, or anime, has impacted many facets of culture and society, especially among Indonesia's Gen Z young people. In order to comprehend how imitation and digital literacy enable Gen Z to absorb anime culture and its effects on social norms and behavioral patterns, the research employs psychological and sociological methods. The study draws attention to Gen Z's growing interest in Japanese culture, which may have an effect on Indonesian social norms. Fandoms are also fostered by anime, and they show their devotion through cosplay and online discussion boards. The purpose of the study is to comprehend the social factors that influence Gen Z's anime consumption habits and how those factors impact their social interactions.
Co-Authors A. Nurfitriana, A. Abdurrahman, Hasan Afifah, Najla Putri Al Amin, Muhammad Alen, Sheren Alfatih, Muhammad Fillah Aliya Raihana Alkautsar, Muhammad Farhan Anwar, Setiady Ibrahim Cahyani, Salsabila Diba Chasanah, Nur Indah Cut Yasmin Zafira Dany Fadhilah, Dany Fadhilah, Muhammad Rafi Farida, Rima Tria Fedrianingsih, Devi Hanifah, Nurrizkyta Aulia Hendriyan, Amanda Pricillia Hidayat, Daffala Viro Juliansyah, Rizki Khoerunnisa, Ratu Hasna Tsana Kusnadi, Khairunnisa Hayyu Mahira, Nisrina Ishmah Manik, Jonser Steven Rajali Marwa, Muthiah Humaira Meliala, Rajhaga Jevanya Paramita, Allicia Galuh Pasya, Thoriq Muhammad Pratiwi, Iswi Nur Prayudo, Galih Ario Putri, Evlyn Jane Rachman, Muhammad Aqil Musthafa Ar Raifa, Malvian Fikra Ramadhan, Husni Mubarok Ramadhini, Yulanda Rizqi Riupassa, Muhammad Hafidz Salsabila, Nasywa Shafa Saputra, Ananda Prathama Setiawati, Rieke Shafaresta, Nadhila Wardana, Aria Wicaksana, Arya Dimas Yanti, Sevia Dwi Yusrina, Sri Yusuf, Ihzra Fahrullizian Zahrani, Regina Frida Zulhilmi, Muhammad Indra