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All Journal Jurnal Reviu Akuntansi dan Keuangan Jurnal Akuntansi Multiparadigma JURNAL AKUNTANSI UNIVERSITAS JEMBER Indonesian Journal of Sustainability Accounting and Management JURNAL AKUNTANSI, EKONOMI dan MANAJEMEN BISNIS Jurnal Sinergitas PkM & CSR Assets: Jurnal Akuntansi dan Pendidikan Media Mahardhika JIAFE (Jurnal Ilmiah Akuntansi Fakultas Ekonomi) Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Buletin Ilmiah Nagari Membangun JURNAL AKUNTANSI, MANAJEMEN DAN EKONOMI Jurnal Bina Akuntansi JBMR: Journal of Business and Management Review Journal of Sustainable Tourism and Entrepreneurship Jurnal Akuntansi Indonesia Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) International Journal of Business and Social Science Research International Journal of Economics, Management, Business, and Social Science International Journal of Economy, Education and Entrepreneurship (IJE3) Indonesian Journal of Economy, Business, Entrepreneuship and Finance (IJEBEF) Insearch: Information System Research Journal Journal of Applied Business, Taxation and Economics Reseach eCo-Fin Jurnal Pengabdian Kepada Masyarakat Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Jurnal Konstanta : Ekonomi Pembangunan Innovative: Journal Of Social Science Research Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Indonesian Journal of Sustainability Accounting and Management JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Jurnal Pengabdian Kepada Masyarakat Khidmah Nusantara
Nurafni Eltivia
Program Studi Akuntansi Manajemen, Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Veterinary Other

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Journal : Media Mahardhika

 1 
SIAPKAH PARA DOSEN AKUNTANSI DI PERGURUAN TINGGI VOKASI DALAM MENYAMBUT DATANGNYA REVOLUSI INDUSTRI 4.0 ? Putri, Diana Rino; Eltivia, Nurafni; Kamayanti, Ari; Jaswadi, Jaswadi
Media Mahardhika Vol 18 No 3 (2020): May 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.147 KB) | DOI: 10.29062/mahardika.v18i3.184

Abstract

In developing countries such as Indonesia, a large number of academics are unfamiliar with the true meaning of terms such as Big Data, Exabyte, Petabyte, Brontobyte, Artificial Intelligence, Machine Learning, Data Mining, Data Warehousing, Distributed Processing, Grid Computing and Cloud Computing. In this paper, we report the results of a survey carried out to ascertain the current level of awareness regarding Big Data among academics in Vocational College. Respondents to a questionnaire formulated for this purpose. Results of the survey seem to indicate that there is a need for multi-faceted efforts aimed at creating awareness regarding Big Data, the related technologies, challenges and future prospects.
IMPLEMENTASI METODE EXPONENTIAL SMOOTHING UNTUK PERAMALAN KEDATANGAN WISATAWAN MANCANEGARA PADA PULAU BALI Nafis Sulthan; Nurafni Eltivia; Nur Indah Riwajanti
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.145

Abstract

The purpose of this study is to predict the arrival of foreign tourists on the island of Bali by using the Exponential Smoothing method. This research is a quantitative descriptive. The data used in the study are data on foreign tourist arrivals from the air and sea routes taken from the Central Statistics Agency. Data is managed through the Microsoft Excel application. In determining the RMSE, the Solver Parameters help listed in Microsoft Excel is used to determine the lowest error rate. The data used in this study indicate that there are trend and seasonal patterns so that the most suitable Exponential Smoothing method is the Triple Exponential Smoothing method. The results of this study indicate that foreign tourist arrivals on the island of Bali are predicted to increase in 2020 although not too significant. The results of this study are expected to help the Bali Island government and related agencies in terms of planning and decision making to overcome the crisis on the island of Bali caused by the tourism sector.
PERAMALAN KEDATANGAN WISATAWAN MANCANEGARA INDONESIA: METODE HOLT’S WINTER EXPONENTIAL SMOOTHING Fajar Islamiyah Rahmawati; Nurafni Eltivia; Kartika Dewi Sri Susilowati
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.152

Abstract

This reseacrh aims to predict the arrival of foreign tourists in Indonesia using the Exponential Smoothing method. This research is quantitative descriptive. The data used are data of foreign tourist arrivals according to nationality taken from the Badan Pusat Statistik. Data is managed through the Microsoft Excel application. In determining RMSE, Solver Parameter help is used in Microsoft Excel to determine the lowest error rate. The data used in this research indicate that there are trend and seasonal patterns, so the most suitable Exponential Smoothing method is the Holt's Winter Exponential Smoothing method. The results of this research indicate that foreign tourist arrivals in Indonesia are predicted to increase in 2020. The results of this research are expected to help the government and related agencies in planning and decision making in the tourism industry.
PERSEPSI (TIDAK) ETIS MAHASISWA: PENGARUH LOVE OF MONEY DAN MACHIAVELLIAN Elsya Panduwinasari; Nurafni Eltivia; Kurnia Ekasari; Hesti Wahyuni
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.154

Abstract

The purpose of this study is to examine the influence of the love of money and Machiavellian on the unethical perceptions of accounting students both partially and simultaneously. Respondents in this study were active students majoring in accounting at State Polytechnic of Malang. The sampling technique used purposive sampling with a sample size of 321 respondents. The data collection method uses a questionnaire containing 58 questions related to the love of money, Machiavellian, and unethical perception. The results of the study prove that the love of money has a significant and positive effect on the unethical behavior of accounting students. Machiavellian has a significant and positive effect on the unethical behavior of accounting students. Simultaneously the love of money and Machiavellian have a significant and positive effect on the unethical behavior of accounting students.
KONTRIBUSI PERAMALAN PENERIMAAN MAHASISWA BARU POLITEKNIK : SEBAGAI ALAT ESTIMASI PENDAPATAN Ahmad Mustofa; Nurafni Eltivia; Zainal Abdul Haris
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.155

Abstract

Purpose of this research was to determine the forecasting results of new student admissions and the estimated amount of income from a recurrent academic fees. The data was secondary data from the list of enthusiasts and the capacity of new students. This research was quantitative descriptive and using Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), Mean Absolute Deviation (MAD) as a calculation of the level of error accuracy, and single exponential smoothing method as forecasting of new student admissions. Forecasting results obtained DIII Accounting enthusiasts and capacity totaling 2951 and 181 students for 2020 while 2186 students and 191 students for 2021. For the DIV Management accounting produces 4184 and 238 students interested, 238 students for 2020, whereas in 2021 produced 5106 enthusiasts and 226 students for capacity of new students. the total estimated revenues in 2020 and 2021 have a significant amount of interest from new students and the interest of new students through a recurrent academic fees. It was concluded that forecasting can also be used to calculate the estimated income in an institution or even a company so that this paper will contribute to the field of information and finance that can help in decision making.
SIAPKAH PARA DOSEN AKUNTANSI DI PERGURUAN TINGGI VOKASI DALAM MENYAMBUT DATANGNYA REVOLUSI INDUSTRI 4.0 ? Diana Rino Putri; Nurafni Eltivia; Ari Kamayanti; Jaswadi Jaswadi
Media Mahardhika Vol. 18 No. 3 (2020): May 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i3.184

Abstract

In developing countries such as Indonesia, a large number of academics are unfamiliar with the true meaning of terms such as Big Data, Exabyte, Petabyte, Brontobyte, Artificial Intelligence, Machine Learning, Data Mining, Data Warehousing, Distributed Processing, Grid Computing and Cloud Computing. In this paper, we report the results of a survey carried out to ascertain the current level of awareness regarding Big Data among academics in Vocational College. Respondents to a questionnaire formulated for this purpose. Results of the survey seem to indicate that there is a need for multi-faceted efforts aimed at creating awareness regarding Big Data, the related technologies, challenges and future prospects.
Co-Authors A.A. Ketut Agung Cahyawan W Aang Afandi Ahmad Mustofa Aldo Wicaksono Wibowo Amalia Eka Rakhmania Andi Kusuma Indrawam Andi Kusuma Indrawan Anik Kusmintarti Annisa Fatimah Apit Miharso Ari Kamayanti Aulia Hafiida Ade Yolandra Aziza Shella Ade Yolandra Birra Lailatul Nafiisa Darmayanti, Rita Diana Rino Putri Djajanto, Ludfi Elsya Panduwinasari Elvira Handayani Soedarso Elvyra Handayani Soedarno Elvyra Handayani Soedarso Elvyra Handayani Soedarso Erycha Puspitasari Faatin, Faradiba Nurjannah Fajar Islamiyah Rahmawati Farah Ayu Mufida Fatmaria Tantri, Sinta Hesti Wahyuni Hesti Wahyuni Hesty Wahyuni I Nyoman Adi Putra Ima Kristanti Imamia, Tsumma Lazuardini Indira Niaqaulina Isrowiyah, Anna Jaswadi Jaswadi Kadir, Eka Yuli Kartika Dewi Sri Susilowati Kurnia Ekasari Kurnia Ekasari Kurnia Ekasari Kusmintarti, Anik Mahmudatul Himma Martania, Rani Media Maulidiyah, Fitrotul Merry Hanif Rahma Mochammad Junus Moechammad Sarosa Mohamad Arief Setiawan Mufida, Farah Ayu Muwidha Muwidha Nabilla Lailatuz Zaidah Nafis Sulthan Novrida Qudsi Lutfillah Nur Aini Haqiqi Nur Indah Nur Indah Riwajanti Pratama, Bagas Brian Putri Ayu Berlianingtyas Putri Elfa Mas’udia Putri, Diana Rino Putri, Yayang Novealita Wahono Rani Media Martania Retnaning Ayu Dyah Sawitri Retno Widiastuti Retno Widiastuti Riska Maulani Ahmi Riwajanti, Nur Indah Rizka Rahmawati, Rizka Sawitri, Retnaning Ayu Dyah Setiawan, Mohamad Arief Sinta Fatmaria Tantri Siti Holifahtus Sakdiyah Sugeng Hariyanto Sugiarto Sugiarto Suharto, Ririn Pratiwi Suryadi Suryadi Suryan Widati Sutrisno, Sutrisno Syefira Ramadhani Syefira Ramadhani Syuliswati, Atika Usman Zulhijah Muhamma6 Yusna Zainal Abdul Haris