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All Journal BAHTERA : Jurnal Pendidikan Bahasa dan Sastra Jurnal Manajemen Bisnis Kewirausahaan Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Manajemen dan Pemasaran Digital Dinamika Pembelajaran : Jurnal Pendidikan dan Bahasa
Rahmi Yulia Ningsih
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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CITRA PEREMPUAN ASMAT DALAM ROMAN NAMAKU TEWERAUT KARYA ANI SEKARNINGSIH: KAJIAN SASTRA FEMINIS Rahmi Yulia Ningsih; Zuriyati Zuriyati; Siti Gomo Attas
Bahtera: Jurnal Pendidikan Bahasa dan Sastra Vol 20 No 2 (2021): Bahtera: Jurnal Pendidikan Bahasa dan Sastra, Volume 20 Nomor 2 Juli 2021
Publisher : Program Studi Pendidikan Bahasa Program Pascasarjana Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/bahtera.202.06

Abstract

ABSTRAK Penelitian ini bertujuan untuk mendeskripsikan bagaimana citra perempuan suku Asmat dalam Roman Namaku Teweraut karya Ani Sekarningsih. Metode penelitian yang digunakan adalah metode kualitatif dengan pendekatan sastra feminis, sehingga jenis data yang diambil pun bersifat kualitatif yaitu berupa ujaran, pernyataan, dan dialog yang mendeskripsikan citra perempuan dalam Roman Namaku Teweraut karya Ani Sekarningsih. Prosedur penelitian meliputi mengumpulkan, mereduksi, menyajikan, menafsirkan, dan menyimpulkan data. Hasil penelitian menunjukkan bahwa; (1) Bentuk ketidakadilan gender yang muncul dalam cerita adalah marginalisasi kaum perempuan akibat kungkungan adat dan budaya, stereotip, dan subordinasi terhadap kaum perempuan; (2) citra perempuan suku Asmat dalam Novel Namaku Teweraut karya Ani Sekarningsih digambarkan sebagai perempuan yang dijadikan objek seksual dan alat pemuas bagi laki-laki; perempuan penggoda; perempuan tertinggal; perempuan sebagai warga kelas dua; perempuan tidak bebas memeroleh pendidikan; perempuan penurut dan mudah ditakhlukkan; perempuan pengurus domestik semata; dan perempuan tersubordinasi. Pengungkapan citra perempuan suku Asmat dalam roman Namaku Teweraut akan memberikan informasi dan pencerahan bagi pembaca untuk lebih memperhatikan saudara kita di suku Asmat – Papua sana yang jauh dari peradaban, sehingga muncul ide dan gagasan untuk menyejahterakan mereka. Kata kunci: Sastra Feminis, Citra perempuan Asmat, Namaku Teweraut
Analisis Python Penggunaan Musik Sebagai Pengobatan Gangguan Mental Raja Adi Pranata; Jeremy Reynald; Farhan Armandy Rasyid; Joevan Alezka; Muhammad Indra Ferdinand; Tubagus Zakki Ibrahim Ahmad; Rizki Budiman; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1721

Abstract

Music has become an important part of mental healing efforta. This is because music can reduce anxiety, such as symptoms of depression, anxiety, fear and have a positive effect on mood. However, research that describes statistically and explains visually is still rarely done. Therefore, this study aims to describe statistically and visualize the effectiveness of music as a healing of mental disorders. Through the literature study method, namely the search for references related to mental diseases and music, and pyton analysis, namely to conduct statistical data analysis and visualize data. The results explained that sufferers of mental disorders who listen to music are anxiety, depression, insomnia, OCD, the average age of listening to music that is affected by mental disorders of 14 years to 20 years as many as 300 people, on average per day listening to music for three hours a day as many as 175 as many as 175 People, the effectiveness of healing listening to music as many as 548 people from 736 people or in a percentage of 74.5% of the success rate of music in curing mental illness. This study proves that mental disorders can be cured by listening to music, especially music with rock and pop genres. This research contributes to the knowledge of listening to music into an alternative to healing mental disorders.Therefore future research is necessary to study in other mental disease disorders, not limited to patients with anxiety, Isomania, depression, OCD.
Implementasi Bahasa Python Dalam Menganalisis Pengaruh Rokok Terhadap Risiko Pasien Terkena Penyakit Stroke Kairos Abinaya Susanto; Darrien Rafael Wijaya; Matthew Owen; Tertius Raya Prasetya; George Maximillian Theodore; Jevant Russell; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1722

Abstract

This study discusses the implementation of Python programming language in analyzing the influence of smoking habits on the risk of stroke in patients. The study utilizes the "Stroke Prediction Dataset" from World Health Organization (WHO) as the research data source. By employing exploratory data analysis methods, the study can model statistics, visualize data, and test hypotheses to gather supporting variables in analyzing the impact of smoking on the risk of stroke. The analysis results indicate that smoking significantly contributes to an increased risk of stroke. The relationship between smoking status and stroke risk is also influenced by other factors such as age, gender, and other underlying health conditions like hypertension and heart disease.
Penggunaan Bahasa Pemrograman Python Untuk Memvisualisasikan Data Peluang Selamat Dari Kecelakaan Titanic Kalyani Jeslyn Lim; Clement Nathanael; Felicia Angel Wijaya; Jeson Adhi Dharma; Thaddeus Kendrick Andrian; Wilsen Soetresno; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1735

Abstract

Titanic is a cruise known for its grandeur during the past and its tragedy that caused lots of people to die. Until now, its tragedy has drawn the interest of many people towards the ship. As a result, there are many films, documentaries, and books that discuss the tragedy. Titanic is still a research object in many different study fields, including data science. In this article, we analyze a dataset containing samples from the passengers of Titanic to determine the probability to survive the tragedy generally and to test our hypothesis that there are some factors that enlarge the probability to survive. In this research, we use Python programming language to visualize the Titanic dataset. The population of this research is 2.240 people and the sample is 890 people. We use quantitative and qualitative methods to analyze the data. From this research, a person’s chance to survive the Titanic tragedy in general is 0.38, and there are some factors such as age, gender, and cabin class that can enlarge the chance of survival.
Penggunaan Bahasa Pemrograman Python Dalam Analisis Faktor Penyebab Kanker Paru-Paru Angelina M. T. I. Sambi Ua; Diandra Lestriani H; Elizabeth Sonia Kristanty Marpaung; Jesslyn Ong; Michelle Savinka; Putri Nurhaliza; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1742

Abstract

Python programming language is a popular programming language in the field of data analysis. In this research, researchers will analyze data on the cause of lung cancer, because lung cancer has the highest death case among other cancer types. The purpose of the research is to explore how dataset processing related to lung cancer-causing factors using the Python programming language and the datasets used are derived from Kaggle. The research method used is quantitative with a population of 462,000 people and a sample of 999 people. The analysis technique used is an explorative data analysis technique. From the results of the research, the highest cause of lung cancer was found in people aged 32-42 years, level 7 genetic factor, 7th level in dust allergies, level 7 obesity and male sex has higher risk than women.
Penggunaan Bahasa Pemrograman Python dalam Menganalisis Hubungan Kualitas Kopi dengan Lokasi Pertanian Kopi Regina Lo; Alfred Edbert Yunanto; Rasya Nuhaifa Movia; Lambert Aditama Soehardjianto; Ferdinand Wangsa; Natalie Asdyo Lidjaja; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1752

Abstract

Coffee is a drink that everyone loves, however, not all coffee consumed has good quality. The quality of coffee is influenced by various factors, one of which is the location of the farm. Therefore, it is very important to analyze the relationship between coffee quality and relevant farm sites. To achieve this goal, the author conducted a study that aims to explore the relationship between the quality of coffee and the elevation location where coffee is grown. The author collects data through a website called kaggle. The author analyzes data with the exploratory data analysis (EDA) method using the Python programming language to analyze data between the quality and area of coffee farming in a country that produces a lot of coffee. Through this study, the Author found that the higher the coffee farming location, the better the quality of the coffee produced.
Pengaruh Kualitas Layanan dan Nilai Pelanggan Terhadap Loyalitas Pelanggan Chaindra, Willy; Bona Daud Damanik, Matthew; Zulfikar, Muhammad; Justin, Justin; Otto, Nathanael; Josua Pratama, Darell; Agung Putra Jamin, Muhammad; Rahmi Yulia Ningsih
Jurnal Manajemen dan Pemasaran Digital Vol. 2 No. 3 (2024): Jurnal Manajemen dan Pemasaran Digital (Juli - September 2024)
Publisher : Siber Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpd.v2i3.192

Abstract

Penelitian ini menginvestigasi pengaruh kualitas layanan dan nilai pelanggan terhadap loyalitas pelanggan pada zaman modern, di mana belanja offline dan online telah menjadi bagian integral dari kehidupan sehari-hari. Dengan menggunakan metode survei berbasis kuesioner terhadap 30 mahasiswa, penelitian ini menemukan bahwa kualitas layanan yang tinggi, mencakup dimensi tangibility, reliability, responsiveness, assurance, dan empathy, serta penilaian positif terhadap nilai produk atau layanan, berkontribusi signifikan terhadap kepuasan dan loyalitas pelanggan. Temuan ini mendukung teori perilaku konsumen dan teori nilai pelanggan, sementara juga menyoroti pentingnya manajemen pengalaman pelanggan dalam mengatasi pengalaman buruk yang dapat mempengaruhi loyalitas. Hasil penelitian ini memberikan wawasan bagi pelaku bisnis untuk meningkatkan strategi mereka dalam membangun loyalitas pelanggan melalui penguatan kualitas layanan dan pengelolaan nilai pelanggan secara efektif.
Pengaruh E-Commerce Terhadap Perilaku Impulsive Buying pada Generazi Z Utama, Nadia Faliha; Santosa, Noellya Surya; Honesta, Jennifer; Jessica Sharon Yong Sonbai; Valeria Lesley Koesnadi; Elvans Jonathan; Farrell Arthur Marcia; Rahmi Yulia Ningsih
Jurnal Manajemen dan Pemasaran Digital Vol. 2 No. 3 (2024): Jurnal Manajemen dan Pemasaran Digital (Juli - September 2024)
Publisher : Siber Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpd.v2i3.194

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh e-commerce terhadap perilaku impulsive buying pada Generasi Z. Dalam era digital, e-commerce telah menjadi salah satu platform utama yang mempengaruhi kebiasaan belanja konsumen, terutama di kalangan generasi muda. Metode penelitian yang digunakan adalah survei kuantitatif dengan mengumpulkan data dari 10 responden Generasi Z yang aktif menggunakan platform e-commerce. Hasil penelitian menunjukkan bahwa fitur-fitur e-commerce seperti penawaran khusus, ulasan produk, dan kemudahan transaksi memiliki korelasi positif yang signifikan dengan perilaku impulsive buying. Selain itu, faktor-faktor psikologis seperti emosional dan sosial juga berperan dalam mendorong perilaku pembelian impulsif. Temuan ini mengindikasikan bahwa e-commerce berkontribusi secara signifikan terhadap peningkatan perilaku impulsive buying pada Generasi Z yaitu generasi digitalis, yang memiliki implikasi penting bagi strategi pemasaran dan pengembangan platform e-commerce.
Perbandingan Tingkat Literasi Siswa SMAN 32 Jakarta Pra dan Pasca Pandemi Alya Seiyra; Alysha Rawnie Aulia; Ghifary Adhyaksa; Muhammad Gianflo Deyang F.B; Najwa Liviya Novalina; Neha Najla Aura Nisri; Wikasita Laras Purudita; Rahmi Yulia Ningsih; Oki Hermawati
Dinamika Pembelajaran : Jurnal Pendidikan dan bahasa Vol. 2 No. 1 (2025): Februari : Dinamika Pembelajaran : Jurnal Pendidikan dan Bahasa
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/dilan.v2i1.1168

Abstract

This study aims to explore the impact of the Covid-19 pandemic on the literacy levels of Indonesian students, with a focus on changes in reading habits and the application of literacy in daily life. The methodology used in this research is a descriptive approach combining both quantitative and qualitative methods. Data were collected through questionnaires and interviews, which were analyzed to measure students' literacy interest levels and to understand their views on literacy. The results show that the pandemic has led to a significant decline in students' reading habits, caused by factors such as online learning, digital fatigue, limited access to reading materials, and increased use of social media. To address this, it is recommended to provide broader access to reading materials and create an environment that supports literacy, both at school and at home.
Strategi Fadil Jaidi dalam Meningkatkan Visibilitas Produk melalui Endorsement dan Teknik Pemasaran terhadap Followersnya Destiny Priscillia Tandean; Gearen Wahyudi; Joseline Yap; Rayshella Angelina Djifri; Rahmi Yulia Ningsih
JUMBIWIRA : Jurnal Manajemen Bisnis Kewirausahaan Vol. 3 No. 2 (2024): Agustus : Jurnal Manajemen Bisnis Kewirausahaan
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jumbiwira.v3i2.1567

Abstract

This research aims to determine Fadil Jaidi's strategy in increasing product visibility through endorsements and marketing techniques for his followers at Bina Nusantara University. The research method used is quantitative with data collection techniques through questionnaires. The research results show that Fadil Jaidi uses various innovative and authentic endorsement strategies, as well as effective marketing techniques to attract attention and increase audience interest in the products he endorses. This endorsement strategy and marketing technique has proven effective in increasing product sales, but further efforts are still needed to increase purchase conversions. The influence of the number and involvement of followers, especially Bina Nusantara University students, plays an important role in the success of Fadil Jaidi's marketing campaign. Fadil Jaidi faces several challenges and obstacles in his efforts to increase product visibility, such as the low frequency of active interaction from followers and the lack of efficient cross-platform promotion.
Co-Authors Agung Putra Jamin, Muhammad Alfred Edbert Yunanto Alya Seiyra Alysha Rawnie Aulia Angelina M. T. I. Sambi Ua Bona Daud Damanik, Matthew Chaindra, Willy Clement Nathanael Darrien Rafael Wijaya Destiny Priscillia Tandean Diandra Lestriani H Elizabeth Sonia Kristanty Marpaung Elvans Jonathan Farhan Armandy Rasyid Farrell Arthur Marcia Felicia Angel Wijaya Ferdinand Wangsa Gearen Wahyudi George Maximillian Theodore Ghifary Adhyaksa Honesta, Jennifer Jeremy Reynald Jeson Adhi Dharma Jessica Sharon Yong Sonbai Jesslyn Ong Jevant Russell Joevan Alezka Joseline Yap Josua Pratama, Darell Justin, Justin Kairos Abinaya Susanto Kalyani Jeslyn Lim Lambert Aditama Soehardjianto Matthew Owen Michelle Savinka Muhammad Gianflo Deyang F.B Muhammad Indra Ferdinand Muhammad Zulfikar Najwa Liviya Novalina Natalie Asdyo Lidjaja Neha Najla Aura Nisri Oki Hermawati Otto, Nathanael Putri Nurhaliza Raja Adi Pranata Rasya Nuhaifa Movia Rayshella Angelina Djifri Regina Lo Rizki Budiman Santosa, Noellya Surya Siti Gomo Attas Tertius Raya Prasetya Thaddeus Kendrick Andrian Tubagus Zakki Ibrahim Ahmad Utama, Nadia Faliha Valeria Lesley Koesnadi Wikasita Laras Purudita Wilsen Soetresno Zuriyati Zuriyati