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Featured researches published by Hitapriya Suprayitno.


PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING (ICONBUILD) 2017: Smart Construction Towards Global Challenges | 2017

Reflexion on linear regression trip production modelling method for ensuring good model quality

Hitapriya Suprayitno; Vita Ratnasari

Transport Modelling is important. For certain cases, the conventional model still has to be used, in which having a good trip production model is capital. A good model can only be obtained from a good sample. Two of the basic principles of a good sampling is having a sample capable to represent the population characteristics and capable to produce an acceptable error at a certain confidence level. It seems that this principle is not yet quite understood and used in trip production modeling. Therefore, investigating the Trip Production Modelling practice in Indonesia and try to formulate a better modeling method for ensuring the Model Quality is necessary. This research result is presented as follows. Statistics knows a method to calculate span of prediction value at a certain confidence level for linear regression, which is called Confidence Interval of Predicted Value. The common modeling practice uses R2 as the principal quality measure, the sampling practice varies and not always conform to the sampling principles. An experiment indicates that small sample is already capable to give excellent R2 value and sample composition can significantly change the model. Hence, good R2 value, in fact, does not always mean good model quality. These lead to three basic ideas for ensuring good model quality, i.e. reformulating quality measure, calculation procedure, and sampling method. A quality measure is defined as having a good R2 value and a good Confidence Interval of Predicted Value. Calculation procedure must incorporate statistical calculation method and appropriate statistical tests needed. A good sampling method must incorporate random well distributed stratified sampling with a certain minimum number of samples. These three ideas need to be more developed and tested.Transport Modelling is important. For certain cases, the conventional model still has to be used, in which having a good trip production model is capital. A good model can only be obtained from a good sample. Two of the basic principles of a good sampling is having a sample capable to represent the population characteristics and capable to produce an acceptable error at a certain confidence level. It seems that this principle is not yet quite understood and used in trip production modeling. Therefore, investigating the Trip Production Modelling practice in Indonesia and try to formulate a better modeling method for ensuring the Model Quality is necessary. This research result is presented as follows. Statistics knows a method to calculate span of prediction value at a certain confidence level for linear regression, which is called Confidence Interval of Predicted Value. The common modeling practice uses R2 as the principal quality measure, the sampling practice varies and not always conform to the samplin...


The Journal of Engineering | 2018

Behavior of Trip Length Distribution Pattern due to the Variation of Trip Length Interval Determination

Hitapriya Suprayitno; Vita Ratnasari; Nina Saraswati


MATEC Web of Conferences | 2018

Characterization and compressive strength of fly ash based-geopolymer paste

Ari Widayanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno; Januarti Jaya Ekaputri


Jurnal Sosial Ekonomi Pekerjaan Umum | 2018

PEMANFAATAN PRINSIP VALUE FOR MONEY DALAM PENENTUAN PRIORITAS PEMELIHARAAN JALAN NASIONAL DI PERKOTAAN (Studi Kasus Jalan Nasional di Kota Surabaya)

Arvian Zanuardi; Hitapriya Suprayitno; Herry Budianto


Jurnal Manejemen Aset Infrastruktur & Fasilitas | 2018

Formulating a Policy for Developing Regional Solid Waste Final Disposal Installation in East Java Province

Hitapriya Suprayitno; Bieby Voijant Tangahu


Jurnal Manejemen Aset Infrastruktur & Fasilitas | 2018

Preliminary Reflexion on Basic Principle of Infrastructure Asset Management

Hitapriya Suprayitno; Ria Asih Aryani Soemitro


IPTEK: The Journal for Technology and Science | 2018

Sample Based Trip Length Distribution Quality based on χ^2 and Mean Absolute Error Value

Hitapriya Suprayitno; Vita Ratnasari; Nina Saraswati; Citto Pacama Fajrinia


Bangunan : Teori, Praktek, Penelitian, dan Pengajaran Teknik Bangunan | 2018

IDENTIFIKASI AWAL WILAYAH PENGARUH KA KOMUTER DITINJAU DARI PENGGUNAAN MOBIL DI KOTA SURABAYA

Anita Susanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno


Rekayasa Teknik Sipil | 2017

IDENTIFIKASI AWAL STASIUN DAN SHELTER YANG MENJADI TEMPAT PEMBERHENTIAN KA UNTUK PERJALANAN ORANG DI KOTA SURABAYA

Anita Susanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno


Rekayasa Teknik Sipil | 2017

IDENTIFIKASI AWAL LAYANAN ANGKUTAN KERETA API UNTUK PERJALANAN ORANG DI KOTA SURABAYA

Anita Susanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno

Collaboration


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Ria Asih Aryani Soemitro

Sepuluh Nopember Institute of Technology

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Anita Susanti

Sepuluh Nopember Institute of Technology

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Herry Budianto

Sepuluh Nopember Institute of Technology

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Verdy Ananda Upa

Sepuluh Nopember Institute of Technology

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Ashri Maharani

Sepuluh Nopember Institute of Technology

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Bieby Voijant Tangahu

Sepuluh Nopember Institute of Technology

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Januarti Jaya Ekaputri

Sepuluh Nopember Institute of Technology

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Jos Oktarina Pratiwi

Sepuluh Nopember Institute of Technology

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Novi Arifiani

Sepuluh Nopember Institute of Technology

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Retno Indryani

Sepuluh Nopember Institute of Technology

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