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All Journal International Journal of Electrical and Computer Engineering Reaktor BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Sains Materi Indonesia YOUNGSTER PHYSICS JOURNAL Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Physics and Its Applications
Vincensius Gunawan S.K.
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mathematics Physics

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The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of  food crops raised several issues related to land use. The  problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
The Implementation of Grey Forecasting Model for Forecast Results Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of food crops raised several issues related to land use. The problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
MAGNETIZATION AND POLARIZATION PROFILE IN PML-TYPE MAGNETOELECTRIC MULTIFERROICS WITH CANTED SPIN SYSTEM Gunawan, Vincensius; Stamps, Robert L
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.279 KB)

Abstract

We calculate the profile of both magnetization and polarization of a PML-typemagnetoelectric multiferroics which allow the magnetization of sub-lattices to be canted.  Thecalculation is started by deriving the Landau energy density and followed by solvingsimultaneously three equilibrium equations which respect to polarization, magnetization andcanting angle.   It is predicted that magnetoelectricity give rise to a “bump” in polarization profile. It is also calculated that the application of a magnetic/an electric field will also influence thepolarization/magnetization of the material.Keywords:  multiferroics, magnetization and polarisation
Rekayasa Bahan untuk Meningkatkan Daya Serap Terhadap Gelombang Elektromagnetik dengan Matode Deposisi Menggunakan Lucutan Korona Gunawan S.K., Vincensius
BERKALA FISIKA Vol 9, No 1 (2006): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.252 KB)

Abstract

The aim of this research is to engineer soft steel  which have low value absorbance of electromagnetic waves become  a material which have higher value absorbance.  The method used is deposition by corona discharge. Corona discharge generated in free space will ionisize air producing nitrogen ion that can be deposite in basic material.  This process will increase the density in the surface of basic materials and then will make the value of linear absorbance constant of basic material become higher.  The optimal result in this research is the raise of  the value of linear absorbance constant by 54,3 % with the time of deposition in 30 minutes, the voltage of electrode 5 kV and  distance between electrodes 6 mm.
PEMBUATAN KURVA ISODOSIS 2D DENGAN MENGGUNAKAN KURVA PERCENTAGE DEPTH DOSE (PDD) DAN PROFIL DOSIS DENGAN VARIASI KEDALAMAN UNTUK TREATMENT PLANNING SYSTEM Nurul Ihya, Farhatin; Anam, Choirul; Gunawan, Vincensius
BERKALA FISIKA Vol 16, No 4 (2013): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.432 KB)

Abstract

Treatment Planning System (TPS) is very necessary in radiotherapy planning to give the accurate radiation dose given to the patient.  In the TPS, 2D isodose curve is used to determine thedose distribution with the same rate at a certain distance from the radiation source.  The isodosecurve is obtained from the Percentage Depth Dose (PDD) and dose profile.  Measurement data ofPDD and dose profiles obtained from Kensaras Hospital in Semarang.  The PDD and dose profiledata were obtained from testing the water phantom for soft tissues such as muscles or other bodytissues.  Dose profile curve which is used  is at a various depth, such as: 1.5 cm, 5 cm, 10 cm, 15cm, 20 cm and 25 cm with an area of 5 x 5 cm2field, 10 x 10 cm2, 15 x 15 cm2, 20 x 20 cm, 30 x 30cm2 and 40 x 40 cm2.  At each depth of curve profile, the dose at the surface is calculated  andnormalized using  interpolation and normalized by narrowing techniques. 2D isodose curveobtained from the weighting technique to the calculation of the dose profile curve. In the field sizeof 5 x 5 cm2 and 10 x 10 cm2, isodose curve formed better in the absence of horn at the edge of thecurve.  In the field size larger than 10 x 10 cm2 there are horns on the edge of the curve at thelower depths.Keywords : Treatment Planning System (TPS),  2D Isodose curve, Percentage Depth Dose (PDD),Dose profile.
Prediction of 2D Isodose Curve on Arbitrary Field Size in Radiation Treatment Planning System (RTPS) Nugraheni, Dewi Tri; Gunawan, Vincensius; Anam, Choirul
JURNAL SAINS DAN MATEMATIKA Volume 23 Issue 1 Year 2015
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.901 KB)

Abstract

The study on prediction of 2D isodose curves for atbitrary field size has been done. Isodose curve is very useful for plannning and evaluation of doses received by patients in the radiotherapy treatment. The percentage depth dose (PDD) and dose profiles data for standard field size (square) were obtained from measurements in the Kensaras hospital, Semarang Regency. Dose profiles were taken at a depth of 1.5 cm and a radiation source to skin distance (SSD) of 100 cm. The calculation of PDD data in any field size uses linear interpolation method. While the calculation of the dose profile curve uses the widening, narrowing and weighting interpolation method. Firstly, the calculation of PDD and dose profile for standard field sizes of 3x3, 10x10, 15x15 and 20x20 cm2 were carried out and the results were compared to the measurements. Secondly, the PDD and dose profile for arbitrary field sizes 7x7 dan 13x13 cm2 were calculated. After that, the isodose curves for arbitrary field sizes were generated. The results showed that PDD curves of standard field sizes have maximum deviation values < 5% compared to the measurements. While the dose profile curves for field sizes up from 5x5 cm2 have maximum deviation values approximately 5% which was less than measurement. The profile curve of field size of 3x3 cm2 has maximum deviation value >5%. These results showed that our proposed algorithm was relatively valid. In this study, the PDD, dose profile and isodose curves of arbitrary field sizes 7x7cm2 and 13x13 cm2 were succesfully generated.
The Effect of BaCO3 Compound Changes on the Formation of Magnetic Material BaFe12O19 Priyono, Priyono; Cahyono, Agung; Marhaendrajaya, Indras; Subagio, Agus; Gunawan, Vincensius
JURNAL SAINS DAN MATEMATIKA Volume 23 Issue 4 Year 2015
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.073 KB)

Abstract

BaFe12O19 is a permanent magnetic material which has superior properties to be excellent until the late of twentieth century. Some of the obstacles in the synthesis of the material using a stoichiometric composition is a difficulty to obtain a single phase and the second phase is always found. This research attempted to make modifications on the initial non-stoichiometric composition by varying the fraction of Ba/Fe through BaCO3 and Fe2O3 compound through solid state reaction mechanism. This solid state reaction was initiated by mixing various fractions of BaCO3 and Fe2O3 powder composition and compacted to produce a homogeneous mixture using a planetary milling. After drying and molding, it was obtained a homogeneous mixture like a cylinder with a diameter of 2:54 cm and a thickness of 0.5 cm. The BaFe12O19 phase was obtained by heating the sample at a temperature of 1200 ° C for 4 hours. To determine changes in the fraction of Ba/Fe before and after sintering, the samples were tested by X-Ray Fluorescence (XRF), while the structure and crystallinity were tested by X-ray diffraction (XRD) and Scanning Electron Microscope (SEM). The results showed that during the heating process, the reduction of barium fractions exceeded 5% from of their initial weight, while changes in the fraction of Fe was not significant. The results of structure and crystallinity measurement showed that the addition a substantial amount of barium carbonate can lead to the decrease of crystallinity from 35.271 nm to 11.265 nm.
Metode Automatic Clustering dan Fuzzy Logical Relationships untuk Prakiraan Sugiarto, Singgih; Gernowo, Rachmad; Gunawan, Vincensius
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Penelitian mengenai prakiraan dengan menggunakan metode fuzzy time series dalam beberapa kurun waktu terahir ini terus dikembangkan, hal ini dilakukan untuk menutupi kekurangan yang ada pada prakiraan dengan menggunakan metode tradisional. Metode prakiraan tradisional seperti markov, moving average (MA),  dan autoregresive (AR) dapat berjalan untuk memprakirakan data stasioner, tetapi tidak untuk data yang tidak stasioner. Sedangkan auto regresive integrated moving average (ARIMA) dan Box-Jenkins dapat berjalan dengan baik dengan data tidak stasioner. Metode fuzzy time series dapat digunakan dengan baik untuk kedua jenis data tersebut. Salah satu hasil pengembangkan prakiraan fuzzy time series adalah metode automatic clustering dan fuzzy logical relationship yang dalam penelitian ini akan diimplementasikan untuk prakiraan permintaan kredit. Berbeda dengan penelitian sebelumnya, pada penelitian ini hasil prakiraan dapat menghasilkan lebih dari satu periode yang akan datang dengan tujuan untuk mengetahui pengaruh rentang periode terhadap error yang dihasilkan. Selain itu juga dalam penelitian ini jumlah interval dibagi kedalam beberapa sub interval dengan tujuan untuk mengetahui pengaruh pembagian sub interval terhadap error yang dihasilkan.   Kata kunci : Fuzzy time series, automatic clustering dan fuzzy logical relationship
The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of  food crops raised several issues related to land use. The  problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
Land-use suitability evaluation for organic rice cultivation using fuzzy-AHP ELECTRE method Ali, Ircham; Gunawan, Vincensius; Adi, Kusworo
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 1 (2021): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i1.2080

Abstract

Land conversion to organic agriculture is the answer to land degradation problems that interfere with land resources sustainability. An evaluation of land-use suitability is crucial to measure the appropriateness of land for agricultural cultivation. Specifically, organic rice cultivation has some particular standard criteria such as temperature, rainfall, soil depth, pH, c-organic, slope, erosion level, a transition period that influence ranking results, and land suitability classes. Eight organic farmlands were used as alternatives, namely Sawangan, Mangunsari, Tirtosari, Podosoko, Butuh, Krogowanan, Kapuhan, and Jati. Fuzzy Analytic Hierarchy process is used to determine the level of importance of the criteria based on weight assessments by three agricultural experts. The ELECTRE method is applied to rank the most suitable land from several alternatives for organic rice cultivation. The combination of these two multi-criteria decision-making methods complements each other to solve problems in land suitability evaluation. A web-based decision support system (DSS) was created to accelerate data processing integration and present factual information from the land suitability selection process. The implementation of DSS with fuzzy-AHP ELECTRE for evaluating land-use suitability in organic rice cultivation provided the best score for Tirtosari with Ekl=4 and spearman rank correlation the system comparison results with actual data rs=0.95. This study's results indicate that integrating the web with fuzzy-AHP ELECTRE is quite effectively applied for decision-making in organic farming.
Co-Authors Abd. Rasyid Syamsuri Adian Fatchur Rochim Agung Cahyono Agus Purwanto Agus Subagio Aris Kusnandar Asfan Muqtadir Choirul Anam AM Diponegoro Dewi Tri Nugraheni, Dewi Tri Farhatin Nurul Ihya Hendri Widiyandari Indras Marhaendrajaya Ircham Ali Kamsul Abraha Kusworo Adi Mahfudz Fauzan Ngurah Ayu Ketut Umiati Priyono Priyono Rachmad Gernowo Robert L Stamps Ryan Kurniawan Singgih Sugiarto, Singgih Suryono Suryono Susilo Adi Widyanto