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Numerical Model of Current Speed in Bojong Salawe Beach, Pangandaran West Java Province Subiyanto Subiyanto; Nira na Nirwa; Yuniarti Yuniarti; Yudi Nurul Ihsan; Eddy Afrianto; Sudradjat Supian
International Journal of Global Operations Research Vol 2, No 1 (2021)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i1.40

Abstract

The purpose of this study was to determine the hydrodynamic conditions at Bojong Salawe beach. The method used in this research is a quantitative method, where numerical data is collected to support the formation of numerical models such as wind, bathymetry, and tide data. The hydrodynamic model will be made using Mike 21 with the Flow Model FM module to determine the current movement pattern based on the data used. In the west monsoon with a maximum instantaneous speed of 0.04 - 0.08 m/s, while in the east monsoon it moves with a maximum instantaneous speed of 0,4 – 0,44 m/s. The dominant direction of current movement tends to the northeast. The results indicate the current speed during the east monsoon is higher than the west monsoon. The difference in the current speed is also influenced by the tide conditions; higher during high tide and lower during low tide. Monsoons also have a role in the current movements, though the effect is not very significant.
Optimization of The Best Line-up in Football using Binary Integer Programming Model Mahrudinda Mahrudinda; Sudradjat Supian; subiyanto subiyanto; Diah Chaerani
International Journal of Global Operations Research Vol 1, No 3 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.45

Abstract

This paper aims to find the formation with the best line-up of the Liverpool FC football team in the English Premier League in the 2020/2021 season. Researchers used binary integer programming (BIP) modeling to determine optimum solutions. The data used for this optimization is the rating value of the players recorded in the performance data from the previous matches. The optimum result of this problem is the selection of variables that are valued at 1, namely {x_1, x_4, x_6, x_8, x_21, x_28, x_34, x_37, and x_39} for formations 4-3-3 with a maximum value of 82.47, and variables {x_1, x_6, x_7, x_8, x_11, x_14, x_16, x_29, x_31, x_32, andx_42} for 4-2-3-1 formations with a maximum value of 80.04. The 4-3-3 formation is more effective because it has a higher maximum rating than the 4-2-3-1 formation.  4-3-3 formation is an attacking formation with a higher intensity of attack and faster than  4-2-3-1 formation that tends to defend moderately.
Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process Rizky Ashgi; Sudradjat Supian; subiyanto subiyanto
International Journal of Global Operations Research Vol 1, No 4 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.47

Abstract

Covid-19 has brought about major changes for all people in various countries, for example creating vaccines, wearing masks and predicting the predictive state of death that will occur. In this paper, we will predict cases of covid-19 deaths using data taken from the worldometer website by taking data on daily covid-19 deaths worldwide in the period January 23rd- April 16th, 2020. Then the data is processed using the Poisson process that has been transformed using SPSS computer programming, namely the daily mortality rate in the period January 23rd - March 16th, 2020 using descriptive statistics, it was found that the death rate was 4 people in one day, then the Kolmogorov test followed the Poisson distribution, because it met the requirements for the P-value. value . Furthermore, it is calculated by using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21 because the data has been transformed, so . the chance that no one will die within the next 45 days, namely April 30th, 2020 is close to. In the period of January  23rd  - April 16th, 2020 using descriptive statistics, it was found that the death rate was 6 people in one day, then the Kolmogorov test was carried out with the results following the Poisson distribution, because it fulfilled the requirements for a P-value . Furthermore, it is calculated using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21st, 2020  because the data has been transformed, so . The chance that no one will die within the next 45 days, namely May 31, is close to .
Detecting Similarities in Posts Using Vector Space and Matrix Al Fataa Waliyyul Haq; Ema Carinia; sudradjat supian; subiyanto subiyanto
International Journal of Global Operations Research Vol 1, No 3 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.44

Abstract

This study discusses the application of two linear algebraic materials, namely vector and matrix spaces. The application of the two materials is related to an article, the writing can be in the form of an article, book, and so on. The writings examined in this study use example sentences made by the author. Two materials of linear algebra, namely the vector space and the matrix are used to analyze whether there is a similarity between the writing made with other writing. As a result, vector space and matrix can be used to detect similarities in a text.
Analisis Kesesuaian Wisata Pantai Di Pulau Tunda Kabupaten Serang Provinsi Banten Muhamad Satrio Legowo; Ankiq Taofiqurohman; Wahyuniar Pamungkas; Subiyanto . .
Jurnal Perikanan Kelautan Vol 10, No 2 (2019): Jurnal Perikanan dan Kelautan Vol. X No. 2/Desember 2019
Publisher : Fakultas Perikanan dan Ilmu Kelautan Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.023 KB)

Abstract

Pulau Tunda merupakan salah satu pulau di Kabupaten Serang Provinsi banten yang berpotensi untuk kegiatan wisata. Penelitian ini bertujuan untuk menilai kualitas estetika dan mencari zona yang berpotensi untuk kegiatan wisata pantai di Pulau Tunda. Metode yang dilakukan adalah metode survey, data pengukuran diperoleh langsung dari lapangan (in-situ), kemudian pengukuran nilai estetika menggunakan klasifikasi eucledient. Hasil pengambilan data menunjukan kualitas estetika di Pantai Pulau Tunda memiliki nilai tinggi dan rendah. Stasiun yang memiliki kualitas estetika tinggi adalah stasiun 1,2,5,6,7,8,9,10 dan 11 memiliki nilai estetika 3.72 – 3.84 dikarenakan didominasi oleh tipe pantai berpasir dan bewarna putih. Sedangkan stasiun 3 dan 4 memiliki kualitas rendah dan memiliki nilai 2.32 – 2.64 dikarenakan didominasi oleh vegetasi mangrove dan pantai Pulau Tunda memiliki empat zona yang sering dikunjungi oleh wisatawan. Tiga zona dikategorikan sebagai zona estetika tinggi dan terletak di bagian utara , selatan dan barat  Pulau Tunda. Di sisi lain, satu lokasi lainnya memiliki estetika berkualitas tinggi dan terletak di timur Pulau Tunda. Zona yang memiliki kualitas estetika tinggi didominasi oleh hamparan pasir putih dan memiliki pandangan kearah laut hamparan terumbu karang. Pada zona yang memiliki kualitas rendah didominasi oleh vegetasi pantai estuari. 
Effect of Collagen Concentration of Tilapia Fish Bones on The Quality of Skin Cream Andre Wijaya; Junianto Junianto; Subiyanto Subiyanto; Rusky Intan Pratama
Berkala Perikanan Terubuk Vol 49, No 3 (2021): November 2021
Publisher : Fakultas Perikanan dan Kelautan, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/terubuk.49.3.1131-1141

Abstract

Tilapia bone is a part of fishery waste that has not been utilized optimally and has low economic value. Utilization efforts can be made by utilizing the collagen content found in fish bones as a constituent material in the manufacture of skin creams. This study aims to determine the appropriate concentration of tilapia bone collagen to obtain the best physical and organoleptic characteristics. The research method used an experimental method consisting of 4 treatments, namely 0%, 5%, 10%, and 15%. Physical and organoleptic characteristics were tested using the F-test and Friedman's test, respectively, while the decision-making method used the Bayes method. Based on the results of the Bayes test, the addition of 10% tilapia bone collagen was the best treatment with a total value of 2.94. Physical characteristics at 10% collagen concentration have a pH value of 6.5, spreadability 3.76 cm, and humidity 80.8% according to cream quality standards, while the organoleptic characteristics of the cream have a homogeneous appearance, slightly yellowish white color, neutral aroma, and a soft semi-solid texture.
Probability distributions of COVID-19 tweet posted trends uses a nonhomogeneous Poisson process Devi Munandar; Sudradjat Supian; Subiyanto Subiyanto
International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.775 KB) | DOI: 10.46336/ijqrm.v1i4.74

Abstract

The influence of social media in disseminating information, especially during the COVID-19 pandemic, can be observed with time interval, so that the probability of number of tweets discussed by netizens on social media can be observed. The nonhomogeneous Poisson process (NHPP) is a Poisson process with dependent on time parameters and the exponential distribution having unequal parameter values and, independently of each other. The probability of no accurence an event in the initial state is one and the probability of an event in initial state is zero. Using of non-homogeneous Poisson in this paper aims to predict and count the number of tweet posts with the keyword coronavirus, COVID-19 with set time intervals every day. Posting of tweets from one time each day to the next do not affect each other and the number of tweets is not the same. The dataset used in this study is crawling of COVID-19 tweets three times a day with duration of 20 minutes each crawled for 13 days or 39 time intervals. Result of this study obtained predictions and calculated for the probability of the number of tweets for the tendency of netizens to post on the situation of the COVID-19 pandemic.
Robust Optimization for Food Supply Chain Management Problems: A Critical Review and its Novelty Athaya Zahrani Irmansyah; Subiyanto Subiyanto
International Journal of Quantitative Research and Modeling Vol 2, No 3 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.155

Abstract

Optimization problems in real life often have problems with data that cannot be known precisely; constraints on the data are commonly referred as errors. This kind of data is called uncertainty. This uncertainty problem can be solved using Robust Optimization (RO). RO is growing rapidly with the participation of various kinds of research, especially the supply chain (distribution of food or goods between regions). It can be seen that RO is very active in providing support and contribution in various aspects of life by providing optimal results for an objective function and dealing with existing limitations and data uncertainty. This article discusses the background of the problem and the purpose of creating an article, provides an overview of bibliometric map analysis methods and discusses literature and studies. Critical review from OR database articles for supply chain problems are used as a reference, so at the end, it can be determined what novelty is an opportunity for further research.
Wireless Chaos-Based Communication System: Literature Review Siti Hadiaty Yuningsih; Sudradjat Supian; Sukono Sukono; Subiyanto Subiyanto
International Journal of Quantitative Research and Modeling Vol 2, No 1 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.253 KB) | DOI: 10.46336/ijqrm.v2i1.128

Abstract

Since the early 1990s, a slew of chaotic-based communication systems have been proposed, all of which take advantage of chaotic waveform properties. The inspiration stems from the substantial benefits that this form of nonlinear signal offers. Many communication schemes and applications have been specifically designed for chaos-based communication systems to achieve this goal, with energy, data rate, and synchronization awareness being taken into account in most designs. However, non-coherent chaos-based systems have recently received a lot of attention in order to take advantage of the benefits of chaotic signals and non-coherent detection while avoiding the use of chaotic synchronization, which has poor performance in the presence of additive noise. This paper provides a thorough examination of all wireless radio frequency chaos-based communication systems. It begins by describing the difficulties of chaos implementations and synchronization processes, then moves on to a thorough literature review and study of chaos-based coherent techniques and their applications.
SHELF LIFE OF NORI FROM Gracilaria sp. WITH ALUMUNIUM FOIL PACKAGING BASED ON THE ACCELERATED SHELF LIFE TEST METHOD Evi Liviawaty; Sapinatun Namira; subiyanto subiyanto; Eddy Afrianto
International Journal of Quantitative Research and Modeling Vol 2, No 1 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.332 KB) | DOI: 10.46336/ijqrm.v2i1.107

Abstract

This research was conducted at the Laboratory of Fisheries Products Processing, Faculty of Fisheries and Marine Sciences, Padjadjaran University, Jatinangor. The purpose of this research is to determine the shelf life of Nori from Gracilaria sp. with the Accelerated Shelf Life Test (ASLT) method Arrhenius Model using Aluminum Foil packaging. Aluminum foil packaging is a package composed of hermetic, flexible, and opaque metal so that it has high protection properties against water vapor, light, grease and gas. The determination of the shelf life of the ASLT method is carried out using parameters of environmental conditions that can accelerate the process of product quality degradation, namely by storing the product at several temperatures above normal storage temperature. The observations used in determining the shelf life of Gracilaria sp. using a sensory test and a water content test with storage for 35 days, at a temperature of 25oC and 35oC. The result of the Arrhenius model calculation, the appearance parameter is selected as the critical parameter because it has the lowest Activation Energy (Ea) in determining the shelf life of Gracilaria sp. which is packaged using PE plastic. The results show that the parameters used to determine the shelf life of the product are the taste parameters based on the order 1 reaction with the Arrhenius Plot Ln K = 0.026 – 1318.4 (1 / T) and Ea of 2619.66 Kj/mol. The shelf life of Nori Gracilaria sp. if stored at 25oC temperature is 89 hari 7 jam.