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All Journal PROSIDING SEMINAR NASIONAL Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang
Alan Prahutama
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Decision Sciences, Operations Research & Management Education Other

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Journal : PROSIDING SEMINAR NASIONAL

 1 
MODELLING JAKARTA COMPOSITE INDEKS USING SPLINE TRUNCATED Alan Prahutama; Suparti Suparti; Sugito Sugito; Tiani Wahyu Utami
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: PROCEEDING 1ST INSELIDEA INTERNATIONAL SEMINAR ON EDUCATION AND DEVELOPMENT OF ASIA (INseIDEA)
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Regression analysis can be done by parametric and nonparametric approach. The nonparametric approach does not assume an assumption compared to parametric. One nonparametric approach is the spline truncated. Spline is a polynomial piece that provides high flexibility. Spline modeling requires spline and knots. To determine the knots using General Cross Validation (GCV). In this study modeled the value of Jakarta Composite  Index (JCI). JCI provides benefits to know the overall stock price in the stock exchange Indonesia. In this study the best spline model is linear with three knots with R square is 94.34%. Keywords: Jakarta Composite’s Index, Spline truncated, GCV.
MANAJEMEN PRODUKSI PENGOLAHAN IKAN BANDENG DI KABUPATEN PATI UNTUK PENGEMBANGAN PRODUK EKSPOR Sugito -; Alan Prahutama; Abdul Hoyyi
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: PROSIDING IMPLEMENTASI PENELITIAN PADA PENGABDIAN MENUJU MASYARAKAT MANDIRI BERKEMAJUAN
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Central Java as one of the regions in Indonesia which has various food preparations. One typical souvenirs Semarang, which is the capital of Central Java province is milkfish presto, milkfish brains, chips and shredded milkfish milkfish. Aquaculture fish of the largest in Central Java is located in Pati regency. One of the famous places that serve as souvenirs of milkfish is Juwana area, Pati. Many SMEs (Small and Medium Enterprises) in Pati engaged in the processing of aquaculture fish, one of which is milkfish presto. In this paper, the researchers took two of SMEs as a form of field studies engaged in the processing of fish. SMEs are SMEs milkfish Presto twin source of fortune and SMEs banding without thorns excellent. Both of us empower SMEs for the development of export products. In the first year field study outcome shows that the manufacture of standard operating procedures (SOP) and product diversification is the first step the product criteria ekspor. Also marketing techniques is an important factor in the expansion of the market.Keywords: Processed milkfish; Diversification of products; marketing Management; SOP; SME in Pati.
KAJIAN PEMODELAN SPLINE UNTUK DATA LONGITUDINAL SEBAGAI PERKEMBANGAN DARI REGRESI NONPARAMETRIK Suparti Suparti; Alan Prahutama; Rukun Santoso
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Regression analysis can be approached by using parametric, semi-parametricand nonparametric regression approaches. One of nonparametric regressionapproach that great developed was Spline truncated, including for modelinglongitudinal data. Longitudinal data is data that consisting of several subjectswhich is each subject is observed repeatedly based on a certain time. Theadvantages of longitudinal data has provided more complexcityof  informationthan cross section and time series data. The spline approach was a segmentedpolynomial regression approach. Spline provides high flexibility due to the useof knot points. To determine the optimal knot points using Generalized CrossValidation (GCV). The principle of determining the optimum point of knot oflongitudinal data using spline truncated is basically the same as with Splinemethod  for cross section data, that is determination of knot point based on eachsubject. However, the estimation is done simultaneously so that each subject hasits own model. Keywords: Spline Truncated, GCV, Knot points.
REGRESI SEMIPARAMETRIK SPLINE TRUNCATED DENGAN SOFTWARE R Tiani Wahyu Utami; Alan Prahutama
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Metode statisika sangat berperan penting dalam memprediksi maupunmenduga. Salah satu metode yang digunakan adalah dengan analisisregresi semiparametrik spline. Bentuk estimator Spline Truncated sangatdipengaruhi oleh nilai titik knots. Oleh karena itu, pemilihan titik knotoptimal mutlak diperlukan. Metode pemilihan titik knot dengan GCV.  Dua algoritma dan pemograman  untuk mendapatkan pemodelan regresisemiparametrik spline truncated dengan menggunakan software R yaitualgoritma dan program untuk menentukan Knot optimal berdasarkan metodeGCV, algoritma dan program untuk mengestimasi model regresisemiparametrik Spline Truncated. Keywords: Spline Truncated, GCV, Software R.
Co-Authors - Sugito Abdul Hoyyi Agus Rusgiyono Arief Rachman Hakim Aselina Pratidina Wrediningsih Azizah Mulia Mawarni Berta Elvionita Fitriani Budi Warsito Chainur Arrasyid Hasibuan Diah Safitri Dian Andhika Prameswara Dwi Ispriyanti Dwi Ispriyanti Dwi Ispriyanti Erna Fransisca Angela Sihotang Fathimatuzzahra Syahrozad Nuroqi Fizry Listiyani Maulida Hasbi Yasin Irawati Tamara Jenesia Kusuma Wardhani Laili Isna Nur Khiqmah Luthfi Nashukha Dewi Mariska Srihardianti Mega Susilowati Moch Abdul Mukid Moch. Abdul Mukid Muhammad Rosyid Abdurrahman Mustafid Mustafid Nia Puspita Sari Nunung Hanurowati Nurmalita Sari Omy Wahyudi Rengganis Purwakinanti Rezzy Eko Caraka Rita Rahmawati Rizky Adhi Nugroho Rizky Amanda Rizky Dwi Rahmawati Ronny Gusnadi Rukun Santoso Siti Azizah Sudarno Sudarno Sugito - Sugito Sugito Suparti - Suparti Suparti Tarno Tarno Tatik Widiharih Tiani Wahyu Utami Viliyan Indaka Ardhi Yogi Setiyo Pamuji