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All Journal Maksimum : Media Akuntansi Universitas Muhammadiyah Semarang Bulletin of Electrical Engineering and Informatics Competitive Jurnal Akuntansi dan Keuangan ASSET: Jurnal Manajemen dan Bisnis
Hardiwinoto Hardiwinoto
Universitas Muhammadiyah Semarang
Economics, Econometrics & Finance Electrical & Electronics Engineering

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PERILAKU RASIONAL PARA MANAJER DALAM PENGAMBILAN KEPUTUSAN PEMBIAYAAN MELALUI BANK SYARIAH Hardiwinoto Hardiwinoto
MAKSIMUM Vol 1, No 2 (2011): Articles
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/mki.v1i2.250

Abstract

AbstractThis study aims to explore the underlying motivations of managers in corporate financing. The method Used is to explore the literature, the predecessor of research and related theories. The results showed that the motivation underlying the financing decision is rational behavior of the managers.Keyword : motivations of managers, financing decision making, and Rational behavior of the managers.
ANALISIS PARTISIPASI ANGGARAN TERHADAP BUDGET SLACK: PERSEPSI KEWAJARAN PROSEDURAL DAN DISTRIBUTIVE, KEPERCAYAAN MANAJERIAL, DAN KOMITMEN TUJUAN ANGGARAN SEBAGAI FAKTOR INTERVENING Hardiwinoto Hardiwinoto
MAKSIMUM Vol 1, No 1 (2010): Articles
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/mki.v1i1.828

Abstract

The aim this research to examine of the relationships between budget participation that influence manager’s propensity to create budget slack: procedural and distributive fairness, managerial trust, and budget goal commitment as intervening variable. The results show that budget participation impacts both procedural fairness and distributive fairness which, affect trust. Both, procedural and distributive fairness, are found to have a significant impact on budget goal commitment, and negatively influences managers’ propensity to create slack. Further analyses indicatethat the direct relationship between budget participation and manager’s propensity to create slack was insignificant, which suggests that fairness and goal commitment mediate the relationship between budget participation and manager’s propensity to create slack.Keywords: Budget, Distributive Fairness, Procedural Fairness, Trust, GoalCommitment, Budget Slack.
Faktor-Faktor yang Mempengaruhi Kepatuhan Wajib Pajak: Studi KPP Kota Semarang Nurcahyono Nurcahyono; Muhammad Subkhi; Hardiwinoto Hardiwinoto
COMPETITIVE Vol 5, No 2 (2021): Competitive Jurnal Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/competitive.v5i2.5092

Abstract

This study aims to determine the effect of tax socialization, fiscal service, tax awareness, and tax sanctions on obedience of personal taxes obligatory. This research was conducted at the East Semarang Primary Tax Office. The number of samples taken is 100 taxpayers. The sampling technique used is convienance Sampling or sampling based on convienance. Data were analyzed using multiple linear regression analysis. Based on the results of the study showed that the tax socialization, fiscal service, tax awareness, and tax sanctions had a positive effect on obedience of personal taxes obligatory at East Semarang Primary Tax Office. The results showed that the tax socialization, fiscal service, tax awareness, and tax sanctions policy could increase taxpayer compliance at the East Semarang Primary Tax Office
Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum dan Dana Alokasi Khusus Terhadap Belanja Modal Diva Ivana; Hardiwinoto Hardiwinoto; Nurcahyono Nurcahyono
ASSET: Jurnal Manajemen dan Bisnis Vol 4, No 2 (2021): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/asset.v4i2.4356

Abstract

Penelitian ini bertujuan untuk menguji pengaruh pendapatan asli daerah, dana alokasi umum dan dana alokasi khusus terhadap belanja modal. Jenis penelitian ini adalah penelitian kuantitatif. Sampel pada penelitian ini diperoleh dengan menggunakan metode purposive sampling, yaitu pemilihan sampel dengan kriteria – kriteria yang telah ditentukan. Berdasarkan metode purposive sampling tersebut didapatkan sebanyak 80 sampel dari 35 kabupaten/kota provinsi Jawa Tengah dan 5 kabupaten/kota di DIY Yogyakarta. Teknik analisis yang digunakan adalah regresi linear berganda. Hasil analisis data diketahui pengujian hipotesis secara parsial PAD berpengaruh positif dan signifikan terhadap belanja modal, Dana Alokasi Umum berpengaruh tidak signifikan terhadap belanja modal, Dana Alokasi Khusus berpengaruh positif dan signifikan terhadap belanja modal. secara simultan PAD, DAU, DAK berpengaruh positif dan signifikan terhadap belanja modal. Kata Kunci : Pendapatan Asli Daerah, Dana Alokasi Umum, Belanja Modal
A machine learning approach in Python is used to forecast the number of train passengers using a fuzzy time series model Solikhin Solikhin; Septia Lutfi; Purnomo Purnomo; Hardiwinoto Hardiwinoto
Bulletin of Electrical Engineering and Informatics Vol 11, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i5.3518

Abstract

Train passenger forecasting assists in planning, resource use, and system management. forecasts rail ridership. Train passenger predictions help prevent stranded passengers and empty seats. Simulating rail transport requires a low-error model. We developed a fuzzy time series forecasting model. Using historical data was the goal. This concept predicts future railway passengers using Holt's double exponential smoothing (DES) and a fuzzy time series technique based on a rate-of-change algorithm. Holt's DES predicts the next period using a fuzzy time series and the rate of change. This method improves prediction accuracy by using event discretization. positive, since changing dynamics reveal trends and seasonality. It uses event discretization and machine-learning-optimized frequency partitioning. The suggested method is compared to existing train passenger forecasting methods. This study has a low average forecasting error and a mean squared error.
Co-Authors Diva Ivana Muhammad Subkhi Nurcahyono Nurcahyono Purnomo . Septia Lutfi Solikhin Solikhin