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The by-product of oil palm dosage application on Turnera subulata growth supports water supply

AIP Conference Proceedings 2024年第1期3026卷

作者： Pauliz Budi Hastuti Gilang Tri Anggara Wiwin Dyah Ully Parwati Teddy Suparyanto Digdo Sudigyo Bens Pardamean Faculty of Agriculture STIPER Institute of Agriculture Yogyakarta Indonesia 55281 Faculty of Agricultural Technology STIPER Institute of Agriculture Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Plant growth with complex organic matter content can be enhanced by using oil palm by-products. These organic materials can maintain the water supply in the plant body. Therefore, in oil palm plantations with significant groundwater consumption, organic matter’s the ability to sustain water availability. Caterpillars that devour palm leaves are among the numerous pests that threaten oil palm plantations. Predators of leaf-eating caterpillars use the holly rose flower (Turnera subulata) in oil palm farms as a habitat. Therefore, the effect of the type and dose treatment of oil palm by-products on the growth of Turnera subulata was observed to support sustainable water management in oil palm plantations. The research was carried out using a factorial design arranged in a Completely Randomized Design (CRD) consisting of two components: the type of palm oil mill by-product (boiler ash, empty bunches, and solid) and the dose of a by-product (% volume) consisting of four dosages (0, 25, 33, and 50% volume). The research data were analyzed using variance at the 5% test level. A DMRT test at the 5% test level was conducted on the treatment that had a significant effect. The growth of Turnera subulata was most positively impacted by a solid application dose of 50% volume. Turnera subulata plants responded the least favorably to the application of empty bunches in any dose treatment.

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Spatial Bayes Analysis on Cases of Malnutrition in East Nusa Tenggara, Indonesia

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Procedia computer science 2021年 179卷 337-343页

作者： Ro’fah Nur Rachmawati Novi Hidayat Pusponegoro Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Statistics Polytechnics STIS Jl. Otto Iskandardinata No.64C Jakarta Indonesia 13330

Malnutrition is a condition of serious nutritional disorders that occurs when food intake does not match the amount of nutrients needed. This nutritional disorder is fatal to a toddler’s health if not treated immediately. For this reason, the purposes of this study are to model and map malnutrition cases by taking into account regional aspects using the Bayes spatial analysis whose inference uses INLA (integrated nested Laplace approximation). The spatial Bayes model used is a generalized linear mixed model, by including random effects in the form of conditional autoregressive spatial structured components. The response variable is the number of cases of malnutrition in 22 city districts in Indonesia’s East Nusa Tenggara province, which is assumed to have a Poisson distribution. In spatial modeling, the fixed effects as the explanatory variables are included, i.e. the number of children under five given complete immunization, the poverty depth index, the number of maternal and child health services, population density and the average duration of breastfeeding. The results of spatial modeling show that the poverty depth index is the main variable that has a significant effect on the number of malnutrition cases. From the results of spatial mapping, it can be seen that there are regional links that affect the number of malnutrition cases, including in Sumba Barat Daya, Sumba Barat and Sumba Utara which have a high probability of malnutrition risk rather than in Sumba Timur.

关键词： INLA malnutrition modeling conditional autoregressive generalized linear mixed model Poisson distribution

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Efficient neural network development: A literature review

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AIP Conference Proceedings 2023年第1期2594卷

作者： M. A. Febriantono R. Herasmara Sidharta Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Electrical Engineering Department Faculty of Science and Technology University of Islam Raden Rahmat Malang Indonesia 65163

The neural network model used in research and commercial settings tends to increase in size. This increase in model size leads to an increase in hardware and energy requirements for design, train, and inference. Increased energy and hardware requirement causes carbon emission that affects the environment. This paper performs a review on methods used in three steps of neural network model development: design, training, and inference. The review then discusses methods’ performance as well as resource usage in relation to its efficiency. It also summarizes findings and recommends directions for future research efforts regarding effective and efficient neural network development.

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Song Recommendation System Using Collaborative Filtering Methods 19

Song Recommendation System Using Collaborative Filtering Met...

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Proceedings of the 3rd International Conference on Digital Technology in Education

作者： Abba Suganda Girsang Antoni Wibowo Edwin Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781450372206

Currently, digital online music increase significantly, both in terms of content and users. Increasing the number of digital music content every month conduce a lot of song catalog data and becoming unstructured and making it difficult for users to choose the songs they want to listen to. To make it easier for users to optimize a large number of subscribed music catalogs, a user-centric music recommendation system is needed that allows users to be able to manage catalogs of digital music content according to their needs. This study examines how to implement song recommendation system using collaborative filtering method in digital online music. This study uses 20,000 users, 6,000 songs and 470,000 transactions rating. Through those research, it is discovered that user-based collaborative technique that could make one system for clients will gather those playlist they really want to hear.

关键词： digital music recommendation playlist generation Collaborative filtering

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The Use of Book Store GIS Data Warehouse in Implementing the Analysis of Most Book Selling 7

The Use of Book Store GIS Data Warehouse in Implementing the...

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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Harvy, Ikrar Matitaputty, Gilbert Alessandro Girsang, Abba Suganda Michael, Steve Isa, Sani Muhamad BINUS Graduate Program-Master of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (纸本)9781728129099

Data is the part that represents the evidence in presenting the state of the surrounding environment, obtained through research in the form of numbers, sources or scales. with data, conditions can be measured to produce the best solution. GIS Bookstore is one company that needs data every month to be analyzed. However, GIS Bookstore has constraints in processing large data with increasing time. for example GIS bookstore has problems in analyzing bestsellers because of the increasing number of authors and book publishers who work together. In this study, GIS Bookstore found a solution by implementing business intelligence that plays a role in the processing of raw data in large amounts of data into well-structured data information, the results are collected and processed in a data warehouse scheme. Targets stored in the data warehouse are data that will be processed based on the model design method (ERD) and star schema. This paper discusses the GIS Bookstore data warehouse with the aim of analyzing the sales of most books based on a certain time period. The method used in retrieving data uses Pentaho data integration tools, MySQL workbench, report designer, bi server and workbench schema. © 2019 IEEE.

关键词： Data warehouses

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Virtual Plant of Basil (Ocimum Basillicum) by Using Functional-Structural Plant Model

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IOP Conference Series: Earth and Environmental science 2022年第1期998卷

作者： Ditdit Nugeraha Utama Heraldo Y Purwantono Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Indonesia is one of the most populated and large country in south-east Asia. Its abundance of natural resources was well known. Supported by its tropical climate, made Indonesia is also among the largest tropical country in the world. However, according to the data, arable land in Indonesia has drastically decreased over the years in line with the rising demand for residency areas. This statistic shows a rather concerning fact that it is possible that even though Indonesia with this richness of natural resources one day would not fulfil its own domestic food needs. Moreover, competitions and hindrances that experienced by the Indonesian farmers might also worsen this limited food supply. In this research, the computational plant model (called virtual model) of the above-land Basil plant (Ocimum Basillicum P.) was proposed. The Basil plant that is taken as a research object is specific. It is a plant growing in a hydroponic environment. By using structural and functional plant model (FSPM) and simple mathematical and statistical methods, the constructed model was able to portray the growth pattern of each plant organ morphologically and biologically. The development and growth patterns of each plant organ (i.e., stem, petiole, leaves, etc.) are also depicted in detail and precisely. The model was quite novel. It practically can be exploited by agronomists and researchers to see the potential effort in optimizing the plant's yield.

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Clustering Steam User Behavior Data using K-Prototypes Algorithm

Clustering Steam User Behavior Data using K-Prototypes Algor...

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International Conference on Engineering, Technology and Innovative Researches 2019, ICETIR 2019

作者： Ranti, Kiefer Stefano Salim, Kelvin Girsang, Abba Suganda Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

The use of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide access to data on user behavior from installed game clients platform such as Steam. These behavioral data can be used to find out the Steam user behavioral patterns on playtime distributions that can be studied by developers in order to have a deeper understanding of the behaviors of their players. In this study, the data are clustered using the k-prototypes algorithm, a combination of k-means and k-modes algorithm that can be used to cluster mixed attributes. The result shows that the clusters represent the types and preferences of the players. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Software design

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LDA and SVM performance evaluation for diabetes prediction

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AIP Conference Proceedings 2024年第1期3070卷

作者： Abdul Azis Abdillah Azwardi Azwardi Imam Wahyudi Samsul Arifin Muhammad Amien Ibrahim Tuga Mauritsus Mechanical Engineering Dept Politeknik Negeri Jakarta Depok Indonesia Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia

Diabetes mellitus has no remedy at the moment. Diabetes mellitus is a fatal condition that can lead to heart failure, kidney disease, unhealed wounds, and other consequences. Precautions are one option that can be used to combat this condition. Using artificial intelligence, this project aims to develop an early detection system for diabetes mellitus. In this article, researchers employ a combination of two machine learning algorithms to diagnose diabetes: Linear Discriminant Analysis (LDA) as the model to extract the important information from the dataset and Support Vector Machines (SVM) as a classifier model. The main target of this study is to find the best classification model for identifying diabetes. The LDA-SVM approach for identifying diabetes is also described in this work, as well as its implementation and performance. The PIMA Indian Diabetes dataset was used to conduct the experiment in this case. In addition, to find the optimum parameters and develop the best model, we employ a cross-validation approach as many as 10 fold. The conclusion of this study is that LDA-SVM successfully detected diabetes using sigma = -4.5 with a result of accuracy value of 77.34%, a result of sensitivity of 73.507%, and a result of specificity of 79.60%.

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Model of orangutan population dynamics by considering infanticide and Minimum Viable Population factors

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AIP Conference Proceedings 2024年第1期3083卷

作者： Nahrul Mubarok Karsten Maynard Jabriel Kemal Firdaus Dani Suandi Department of Mathematics Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung 40132 Indonesia. Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

Orangutans are rare animals whose populations are threatened with extinction. Several factors that influence the extinction of orangutans are influenced by humans, such as deforestation and hunting activities. Herein we will focus on studying the factors of extinction caused without human intervention. These factors include the slow life cycle due to the long interbirth interval of orangutans and the presence of infanticide. To examine the behavior, a model of a three-dimensional non-linear system of differential equations is constructed to modeled orangutan population. The model is constructed based on the age structure due to different levels of productivity. This model also considers the Minimum Viable Population (MVP) and infanticide cases which are represented by the functional response of Holling type II and Allee effect, respectively. In this study, the existence and stability of the equilibrium point are investigated analytically for cases without infanticide. Meanwhile, the general case is analyzed numerically. Numerical simulations are also carried out to examine the existence of the bifurcation and at the same time to confirm the analytical results. From this model, we get three equilibrium points where two interior equilibria and one trivial equilibrium. Our analysis shows that the trivial equilibrium is always unconditionally stable. This means that if the orangutan population is close to extinction, then the orangutan population will be headed for extinction. The boundary of the extinction area is also obtained to maintain the coexistence of the orangutan population by paying attention to the proportion of orangutans that must always be above that boundary. In addition, numerical results confirm that the greater the infanticide factor, the wider the area of population extinction, which has an impact on the smaller proportion of the orangutan population. The results of this study suggest to policy makers to always keep the population proportion above th

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Virtual Plant Computational Model of Green-Leaf Vegetable Plant Bok Choy (Brassica chinensis L.) for Investment Decision

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IOP Conference Series: Earth and Environmental science 2022年第1期998卷

作者： D. N. Utama A. Wibowo Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Plant computational modelling is a part of ecological informatics. It is a research domain that model the plant/s and is correlated to an environmental issue. A vegetable is one imperative plant. It has an important role in aspects of health, the environment, and also the economy. The study was performed to make a plant computational model of the green-leaf vegetable plant Bok Choy that can suggest the environment-oriented decision in agriculture investment. Two methods functional structural plant modelling (FSPM) and simple mathematics are operated respectively to model the Bok Choy plant morphologically and the decision recommendation. The study produced the morphological 3-dimension (3D) model of the forty-fve-day-age plant Bok Choy and investment decision to plant Bok Choy in a hydroponic system.

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