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All Journal Zeta - Math Journal Ecopreneur.12 Ecopreneur Mathvision : Jurnal Matematika Business and Finance Journal Pattimura International Journal of Mathematics (PIJMath) Semanggi: Jurnal Pengabdian kepada Masyarakat
Puspandam Katias
Department Of Management, Universitas Nahdlatul Ulama Surabaya
Humanities Economics, Econometrics & Finance Education Mathematics Public Health Social Sciences

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PENGARUH PROFITABILITAS, TATA KELOLA PERUSAHAAN, LEVERAGE, UKURAN PERUSAHAAN, DAN PERTUMBUHAN PENJUALAN TERHADAP PENGHINDARAN PAJAK PADA PERUSAHAAN PERTAMBANGAN YANG TERDAFTAR DI BEI PERIODE 2014-2018 Nurul Khomsiyah; Ninnasi Muttaqiin; Puspandam Katias
Ecopreneur.12 Vol 4, No 1 (2021): April 2021
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/econ12.v4i1.917

Abstract

Penelitian ini bertujuan untuk menguji pengaruh profitabilitas, tata kelola perusahaan, leverage, ukuran perusahaan dan pertumbuhan penjualan terhadap penghindaran pajak. Penelitian ini menggunakan  metode purposive sampling dan metode dalam menganalisis data dalam  penelitian ini adalah menggunakan program SPSS versi 25. Hasil analisis menunjukkan bahwa ROA (return on assets), dewan komisaris independen, ukuran perusahaan berpengaruh signifikan terhadap penghindaran pajak dan diketahui memiliki arah yang negatif. DER (debt to equity ratio) dan pertumbuhan penjualan berpengaruh positif signifikan terhadap penghindaran pajak. Sedangkan kepemilikan institusional berpengaruh negatif  dan tidak signifikan terhadap penghindaran pajak dan komite audit berpengaruh positif dan tidak signifikan terhadap penghindaran pajak.
PENGARUH PROFITABILITAS, TATA KELOLA PERUSAHAAN, LEVERAGE, UKURAN PERUSAHAAN, DAN PERTUMBUHAN PENJUALAN TERHADAP PENGHINDARAN PAJAK PADA PERUSAHAAN PERTAMBANGAN YANG TERDAFTAR DI BEI PERIODE 2014-2018 Nurul Khomsiyah; Ninnasi Muttaqiin; Puspandam Katias
Ecopreneur.12 Vol 4, No 1 (2021): April 2021
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/econ12.v4i1.917

Abstract

Penelitian ini bertujuan untuk menguji pengaruh profitabilitas, tata kelola perusahaan, leverage, ukuran perusahaan dan pertumbuhan penjualan terhadap penghindaran pajak. Penelitian ini menggunakan  metode purposive sampling dan metode dalam menganalisis data dalam  penelitian ini adalah menggunakan program SPSS versi 25. Hasil analisis menunjukkan bahwa ROA (return on assets), dewan komisaris independen, ukuran perusahaan berpengaruh signifikan terhadap penghindaran pajak dan diketahui memiliki arah yang negatif. DER (debt to equity ratio) dan pertumbuhan penjualan berpengaruh positif signifikan terhadap penghindaran pajak. Sedangkan kepemilikan institusional berpengaruh negatif  dan tidak signifikan terhadap penghindaran pajak dan komite audit berpengaruh positif dan tidak signifikan terhadap penghindaran pajak.
ESTIMASI PROFITABILITY PADA PT.XYZ DENGAN ALGORITMA UNSCENTED KALMAN FILTER Teguh Herlambang; Puspandam Katias
MathVisioN Vol 2 No 2 (2020): September 2020
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (222.031 KB)

Abstract

Salah satu tujuan unit bisnis adalah meningkatkan profitabilitas perusahaan. Profitabilitas merupakan kemampuan suatu perusahaan dalam menghasilkan laba selama periode tertentu. Profitabilitas yaitu kemampuan perusahaan untuk memperoleh laba, tingkat profitabilitas yang semakin besar menunjukkan perusahaan mampu mendapatkan laba yang semakin besar. Profitabilitas merupakan faktor penting di dalam perusahaan, sehingga pada paper ini dilakukan estimasi profitabilitas. Estimasi dalam hal ini menggunakan metode Unscented Kalman Filter (UKF) dan Akar Kuadrat Unscented Kalman Filter (AK-UKF) dengan penerapan prinsip prediksi dan koreksi secara kotinu. Berdasarkan analisis hasil simulasi, metode UKF dan AK-UKF dapat diimplementasikan untuk mengestimasi profit suatu perusahaan. Dari hasil analisa pada simulasi dengan 100, 200 dan 300 iterasi memiliki error yang kurang dari 5 %.
Prediksi Harga Saham pada PT. ABCD menggunakan Ensemble Kalman Filter Puspandam Katias; Denis Fidita; Teguh - Herlambang
Zeta - Math Journal Vol 4 No 1 (2018): Mei 2018
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.916 KB) | DOI: 10.31102/zeta.2018.4.1.24-27

Abstract

Stock Exchange is established as an effort to link both stock / security sellers and buyers. Securities often traded in stock market is share. The intention of an investor in investment is to have the lowest risk and to gain the highest profit. To make decision for optimal investment, calculation on the estimate of future return to be gained is necessarily made. One of estimate calculation methods considered the most objective is by applying the Ensemble Kalman filter (EnKF) method. Ensemble Kalman filter is a method of estimation of condition variable of discrete linear dynamic system that minimizes covarian error of estimation. So, this study aims to apply share price estimation method for close prices of share of PT. ABCD by Ensemble Kalman Filter method as investor' consideration in investment with an error of 3% - 5%.
Estimasi Harga Saham pada PT. ABC dengan Algoritma Kalman Filter Puspandam Katias; Teguh Herlambang; Denis Fidita
Zeta - Math Journal Vol 3 No 2 (2017): November 2017
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.785 KB) | DOI: 10.31102/zeta.2017.3.2.37-40

Abstract

Saham merupakan surat berharga sebagai bukti tanda penyertaan atau kepemilikan seseorang atau badan hukum dalam suatu perusahaan, khususnya perusahaan publik yang memperdagangkan sahamnya. Investasi dalam bentuk saham banyak dipilih para investor karena saham mampu memberikan keuntungan yang menarik. Dalam aktivitas perdagangan saham sehari-hari, harga-harga saham mengalami fluktuasi baik berupa kenaikan maupun penurunan. Dalam pemilihan investasi yang aman pada saham, investor memerlukan cara untuk menilai harga saham yang yang akan dibeli ataupun kemampuan saham tersebut memberikan deviden dimasa dating, sehingga bisa mengoptimalkan keuntungan. Cara yang benar dalam analisa akan mengurangi risiko bagi investor dalam berinvestasi adalah dapat mengestimasi harga saham. Salah satu metode untuk mengestimasi kenaikan dan penurunan harga saham, Estimasi dilakukan karena suatu masalah terkadang dapat diselesaikan dengan menggunakan informasi atau data sebelumnya yang berhubungan dengan masalah tersebut. Kalman filter merupakan suatu metode estimasi variabel keadaan dari sistem dinamik linear diskrit yang meminimumkan kovarian error estimasi. Maka dari itu pada penelitian ini diterapkan metode estmasi harga saham untuk high and low prize saham dengan metode Kalman Filter, sebagai bagan pertimbangan investor dalam berinvestasi.
Warehouse Modeling in Strategic Planning Model Puspandam Katias; Denis Fidita Karya
Jurnal Bisnis dan Keuangan Vol 4 No 1 (2019): Business and Finance Journal
Publisher : UNUSA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/bfj.v4i1.1098

Abstract

As a critical point in the supply chain, warehouse facility must be managed in good way, started from planning and design becomes important, this research using modeling tool to make and ensure the warehouse to be more effective and efficient. This paper to analyze the concepts of modeling for managing warehouse facility, from strategic level to operational level, for future re- search to provide a conceptual references also contribute to project management. The Problem in this analysis formulated as: 1). how modeling in designing and planning warehouse in action, and 2) how modeling in designing and planning warehouse as classified. The findings of this research with a modeling project: a model of classification for managing efficient warehouse, especially in strate- gic planning model.
Strategies to Improve Service Quality With House of Quality at Hotel X Surabaya Ninnasi Muttaqi'in; Puspandam Katias
Jurnal Bisnis dan Keuangan Vol 6 No 1 (2021): Business and Finance Journal
Publisher : UNUSA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/bfj.v6i1.1979

Abstract

Service that can satisfy consumers is the main key for service companies to be able to survive and develop their business. Because service is an intangible product, it requires maximum effort for service providers to be able to obtain satisfactory value from consumers. Understanding consumer needs and trying to meet consumer expectations as best as possible is one way to improve service quality. Hotel is one of the service providers in the tourism and business sector, where at this time hotel service is a critical service in its contribution to the tourism business. This research was conducted at a hotel in Surabaya. Surabaya is one of the metropolitan cities in Indonesia, where service providers have been competing fiercely and continue to innovate in providing services. This is also supported by the characteristics of the city of Surabaya as a trading city, so that it always requires complex services to meet consumer expectations. Therefore, it is very important to improve service quality through the formulation of the right strategy. In this research, it will be known what are the priorities of customers in choosing hotels, hotel service conditions, and hotel internal responses. The research method used in this study is divided into several stages, namely: problem identification, questionnaire creation and distribution, data processing, and the preparation of the House of Quality (HoQ). The data collection method used was a survey method with a questionnaire instrument, while the data analysis technique used was the House of Quality Matrix (HoQ) method as a representation of the Quality Function Deployment (QFD) method where the QFD function was to show how the quality attribute efforts would be derived. as an effort to meet customer needs in other words serves to determine what will satisfy customers and translate their customer desires into designed target.
Unscented Kalman Filter and H-Infinity for Travel Company Stock Price Estimation Puspandam Katias; Ismanto Hadi Susanto; Teguh Herlambang; Mohamad Yusak Anshori
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 2 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.728 KB) | DOI: 10.30598/pijmathvol1iss2pp81-88

Abstract

The travel and hotel industry is one of the industries experiencing rapid growth. As the population grows, the need for travel and accommodation services gets higher. This is one of the factors contributing a rapid increase in such service industry. Competition in the economy and business world is getting tougher from year to year both within a country and abroad. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Hotel and Travel industry to support tourism development. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the stock price estimation method applied for travel companies adopted Advanced Kalman Filter, a comparison of H-Infinify and Unscented Kalman Filter (UKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the UKF method had higher accuracy than the H-Infinify method with an error by the UKF of 3.2% and that by the H-Infinify of 9.6%.
PENGEMBANGAN SISTEM MANAJEMEN STRATEGI DENGAN PELATIHAN SIMULASI ESTIMASI SAHAM PERUSAHAAN DI PT. INDO DYNAMIC TECHNOLOGY Puspandam Katias; Teguh Herlambang; Mohamad Yusak Anshori
SEMANGGI : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 02 (2022): Oktober 2022
Publisher : LPPM Universitas Wijaya Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.566 KB) | DOI: 10.38156/sjpm.v1i02.218

Abstract

Bursa Efek Indonesia adalah salah satu inisiatif pemerintah untuk mendorong pertumbuhan jumlah investor pasar modal Indonesia karena pada dasarnya investor dalam negeri memiliki peranan penting untuk memperkuat dan menjaga stabilitas pasar modal Indonesia. Pertumbuhan jumlah investor dalam dan luar negeri yang diiringi dengan peningkatan jumlah transaksi diharapkan dapat memberikan manfaat ekonomi secara langsung kepada masyarakat Indonesia. Dalam pemilihan investasi yang aman pada saham sebuah perusahaan, investor memerlukan cara untuk menilai harga saham yang yang akan dibeli ataupun kemampuan saham tersebut memberikan deviden dimasa datang, sehingga bisa memaksimalkan keuntungan dengan meningkatkan kinerja perusahaan. Cara yang benar dalam analisa akan mengurangi risiko bagi investor dalam berinvestasi. Pada kegiatan pengabdian masyarakat ini kami mensinergikan ilmu manajemen dengan ilmu komputasi sehingga dapat digunakan dengan lebih mudah, akurat, efektif dan efisien didalam pengelolaan perusahaan. Di dalam kegiatan ini dilakukan Sosialisasi simulasi atau perhitungan numerik terkait estimasi saham perusahaan di PT. Indo Dynamic Technology. Simulasi dan perhitungan numeric diperkenalkan penggunaan software Mathematica dan matlab sebagai software utama dalam sosialisasi di PT Indo Dynamic Technology
Implementation Fuzzy and Extended Kalman Filter for Estimation of High and Low Stock Price Travel Company Ismanto Hadi Santoso; Puspandam Katias; Teguh Herlambang; Mohamad Yusak Anshori; Mukhtar Adinugroho
Pattimura International Journal of Mathematics (PIJMath) Vol 2 No 1 (2023): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol2iss1pp17-24

Abstract

Competition in the business world is getting tougher from year to year both within a country and abroad. There are a large number of companies competing with one another, especially entering the free market share in Asia, namely the Asean Economic Community (AEC). In the current development of modern economy, Indonesia is making efforts to increase its economic growth. For this, developments in any fields are made. Among others is the service industry such as accommodation, travel, and transportation services. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Travel, tourism and hotel industry to support development of tourism. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the high and low stock price estimation method applied for travel companies adopted developed Kalman Filter, a comparison of two Kalman Filter development methods, namely Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the EKF method had higher accuracy than the FKF method with an error by the EKF of 3.5% and that by the FKF of 8.9%.
Co-Authors Denis Fidita Ismanto Hadi Santoso Ismanto Hadi Susanto Karya, Denis Fidita Mohamad Yusak Anshori Mukhtar Adinugroho Ninnasi Muttaqiin Nurul Khomsiyah Teguh Herlambang