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All Journal Dinamika Akuntansi Keuangan dan Perbankan KEUNIS JURNAL AKTUAL AKUNTANSI KEUANGAN BISNIS TERAPAN (AKUNBISNIS) Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS)
Nina Woelan Soebroto
Politeknik Negeri Semarang
Economics, Econometrics & Finance Social Sciences

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Journal : JURNAL AKTUAL AKUNTANSI KEUANGAN BISNIS TERAPAN (AKUNBISNIS)

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ANALISIS TINGKAT KEPUASAN PELANGGAN MOBILE PAYMENT Prihatiningsih Prihatiningsih; Ida Savitri Kusmargiani; Nina Woelan Soebroto
Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS) Vol 3, No 2 (2020): VOL 3 No 2 November 2020
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/akunbisnis.v3i2.2149

Abstract

Electronic money is a payment system that has been adopted and developed in the banking world. An example of electronic money is e-Toll Card, BCA Flazz, GazCard, BNI TapCash, BRI BRIZZI, BTN Blink and others. The use of electronic money as an innovative and practical means of payment is expected to help smooth payments for mass, fast and micro economic activities, so that their development can help smooth transactions on toll roads, in the field of transportation such as trains or other public transportation or transactions in mini. market, food court or parking. The problem in this study is the gap between smartphone users and mobile payment users, complaints from mobile payment users, and differences in the results of previous studies. The purpose of this study is to analyze the significance of the effect content, accuracy, format, timeliness and easy of use either simultaneously or partially on customer satisfaction mobile payment formulate and user satisfaction mobile paymentlevels. The population in this study wereusers mobile payment using purposive sampling technique, the sample in this study was the Semarang State Polytechnic Student who used the Dana.OVO, dan Go Pay application. using theanalysis method Satisfactio End User Computing.
ANALISIS PERBANDINGAN MODEL ALTMAN Z-SCORE, SPRINGATE, ZMIJEWSKI DAN GROVER DALAM MEMPREDIKSI FINANCIAL DISTRESS Norma Gupita; Sri Widiyati Soemoedipiro; Nina Woelan Soebroto
Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS) Vol 3, No 2 (2020): VOL 3 No 2 November 2020
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/akunbisnis.v3i2.2148

Abstract

This study aims to determine whether there are differences in the Altman Z-Score, Springate, Zmijewski and Grover models in predicting financial distress in infrastructure sector companies listed on the IDX in 2015-2019. By using a purposive sampling technique. The data analysis technique used non-parametric statistics, the Wilcoxon signed ranks test and the prediction model accuracy test without the condition that the data had to be normally distributed. This study compares four financial distress prediction models using descriptive statistical analysis, classical assumption test, and Wilcoxon signed ranks test through the SPSS program. The results showed that there was a difference between the Altman Z-Score, Springate and Grover. The model that has the highest level of accuracy is Springate with an accuracy rate of 83.33%.
Co-Authors Alma Aprilia Anis Rahma Ayuningtyas Budi Prasetya Dina Yeni Martia Embun Duriany Soemarso Evi Rohmiati Ida Savitri Kusmargiani Kenneth Pinandhito Mochammad Abdul Kodir Norma Gupita Prihatiningsih Prihatiningsih Sri Widiyati Soemoedipiro Winarni Winarni Wisnu Adi Wibowo