bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring the Maturity Level of Information Technology Governance in the Informatics Engineering Department Using COBIT 4.1
Authors: Prayitno A , Patawaran N , Marsujitullah  
Published: July 2020

Abstract
Information technology plays an important role in the business world because it may affect the operations of the organization within the organization that also uses information technology to provide information. One of the departments that use information technology is the Information Engineering Department of Musamus Merauke University, which is used to provide information related to the Department of Information Engineering. But in the use of information technology is still flawed. Therefore, it is necessary to have a standard in information technology management to measure overall standards and governance in information technology management, ie using COBIT. 4.1 Based on this study, we will design an information technology management model for the Department of Information Engineering. Control objectives for information and related technologies (COBIT) are 4 primary domains, including domains, planning and organization (PO), acquisition and implementation (AI), transmission and support (DS) and Monitoring and Evaluate (ME) in all four domain research in COBIT 4.1 used to solve the problems and needs of the information engineering department in information technology management, support the process of technology services Prof. support and supervision and evaluation of information technology. The study found that the level of maturity of information technology supervision in the information engineering department is at level 2. Therefore, information technology in the information engineering department must be improved to the expected level.
The Implementation Of An Expert System In Diagnosing Skin Diseases Using The Dempster-Shafer Method
Authors: Buono M L C , Pandiangan N , Loppies S H D 
Published: July 2020

Abstract
In this study we will describe the types of diseases that often attack the skin. The skin is a very sensitive organ of the body and susceptible to disease. This study uses a dempster-shafer method that is used to diagnose symptoms of skin disease. The dempster-shafer method in this study uses rule based obtained from dermatologists. The results of this study were able to produce an accurate diagnosis of 68.8% using trial sample data. The dempster-shafer method can be applied in the diagnosis of skin diseases.
Selection of Snack Suppliers in Merauke Regency Based on Sample Additive Wight (SAW)
Authors: Jayawardana H , Zubaedah R , Loppies SHD , Xaverius F 
Published: July 2020

Abstract
Offices will always carry out activities to be able to develop, including the implementation of meetings, seminars, competitions and guest guests. Sometimes these activities are carried out at the same time or cover the number of participants to thousands of people. Giving snacks in activities is considered important because it can help participants to keep active in participating in activities and also help maintain endurance during follow-up activities. Therefore, the need for biased snack suppliers is more than 1. This research tries to find the best choice of order to prioritize these suppliers. The results of this study can be one of the references for choosing the priority of snack suppliers in Merauke Regency.
Analysis and design student entrepreneurship information system
Authors: Mukaromah S , Pratama A , Ithriah S A , Putra A B 
Published: July 2020

Abstract
Entrepreneurship Course is a compulsory subject that must be accepted by all students of University of Pembangunan Nasional “Veteran” Jawa Timur. This is done with the goal that students have the spirit of entrepreneurship. For this reason, in order for entrepreneurship to continue until students graduate, a Student Entrepreneurship Information System is created or it is called Sistem Informasi Kewirausahaan Mahasiswa (Sirama) in Indonesia. In the following article we will discuss about the proposed system design as a place for entrepreneurship for students and alumni. The analysis design that will be discussed is System Flow, Data Flow Diagrams (DFD), and Conceptual Data Model (CDM) and Physical Data Model (PDM) which are generated from CDM. The conclusion of this article is the system design for developing programs using web applications.
Difficulty Curve-Based Procedural Generation of Scrolling Shooter Enemy Formations
Authors: Atmaja Pratama Wirya , Sugiarto  , Mandyartha Eka Prakarsa 
Published: July 2020

Abstract
In any game where the player must face large formations of enemies, the way the formations are formed significantly influences the difficulty level of the game. As proper difficulty levels are essential to player’s enjoyment, the enemy formations need to be arranged properly. In this paper we experimented with how to procedurally generate enemy formations in a vertical scrolling shooter game while keeping the difficulty levels proper. Generations of the formations were done with genetic algorithm where the fitness function calculated two variables: difficulty curve, which reflects a formation’s difficulty level, and enemy variety. The difficulty curve took into account difficulty points, which measured the danger levels of on-screen enemies throughout the game’s duration. The fitness of difficulty curve of an enemy formation was acquired through point-by-point comparison between the curve and a human-designed one, which represented the ideal difficulty curve as intended by the game’s developer, and calculation of the root-mean-square error. The genotype of an individual was represented by a 5x40 grid containing enemy genes and empty space genes. We ran 300 generations in total and each was done in 100 iterations and had 40 individual genotypes. The results show that the amount of enemy genes in initial genotypes influences the population’s fitness progression. We then discuss the implications of our findings and possible directions of future researches.
Design and Development Executive Information System Application with Drilldown and What-If Analysis features
Authors: Putra Agung Brastama , Mukaromah Siti , Agussalim  , Lusiarini Yessika , Rizky Mohamad Ibnu , Bestari Pradita Yunifa 
Published: July 2020

Abstract
Indonesia has a big potential in the agriculture sector, paddy is the leading commodity in the food crop sub-sector. To achieve food self-sufficiency, the availability of paddy commodities information is needed to support stakeholders in making decisions. The problem presented in this paper is how to develop executive information system software that provides summarized information related to production, land area and productivity of paddy. To answer the question above, the following steps are needed: a. design and b. develop the Design process from this paper using the iconix process and result from the build process is an application Executive Information System (EIS). The application developed uses the drill-down graphics and what-if analysis facility to display land area, production, and productivity, the information displayed provides valuable insights into the industry and helps in decision making.
Online Learning Self-Efficacy: The Role in E-Learning Success
Authors: Ithriah S A , Ridwandono D , Suryanto T L M 
Published: July 2020

Abstract
The e-learning success factor has been widely researched. One of which is Self-Efficacy, that has a vital role in online learning. Previous research has focused only on Computer Self-Efficacy. While the effect of a more specific factor, Online Learning Self-Efficacy, is unknown. This research has a contribution in revealing the influence of Online Learning Self-Efficacy factor to the success of e-learning by using D & M model. This study uses a quantitative approach to a sample of 101 university students. The result of data processing using Warp PLS shows that the factor of Online Learning has a positive and significant influence on the use of e-learning. Although this research has some limitations, which will be discussed in this paper, this research can still become a starting point for further research in the online learning field.
Global and Adaptive Thresholding Technique for White Blood Cell Image Segmentation
Authors: Mandyartha Eka Prakarsa , Anggraeny Fetty Tri , Muttaqin Faisal , Akbar Fawwaz Ali 
Published: July 2020

Abstract
Global and local thresholding are two thresholding approaches for white blood cell (WBC) image segmentation. Global thresholding determines the threshold value based on the histogram of the overall pixel intensity distribution of the image. In contrast, adaptive thresholding computes the threshold value for each fractional region of the image, so that each fractional region has a different threshold value. In this work, we are assessing both of these approaches for two threshold values. We extended the Otsu’s equation to calculate more than one threshold as it originally designed to find only a single threshold value. Adaptive thresholding first divides an image into fractional-image by considering an imaginary bounding box that surrounds the location of WBC, which involves the Gram-Schmidt orthogonalization method. For segmentation performance evaluation, we compare 35 blood smear test images which segmented by our proposed method, with their corresponding ground truth image to representing them in Zijdenbos Similarity Index (ZSI), precision, and recall measurement. Experimental results show that adaptive thresholding achieves average ZSI, precision and recall, 92.5%, 91.79%, 94.03%, while global thresholding achieves 30.72%, 23.38%, and 99.39% respectively.
A Conceptual Model of Mobile Expert System for Integrated Pest and Disease Control: The Case of MyCorn
Authors: Agustiono W , Syarief M , Anamisa D , Damayanti F , Yusuf M 
Published: July 2020

Abstract
The study of plant disease detection systems development has become very popular especially after the introduction of precision agriculture and the widespread use of mobile computing in almost all area including agriculture. While there exist an abundance of frameworks or models, however, given the unique nature of pest and disease management influenced by the different types of cultivation setting such as location, history, soil and the threat’s, research in this area is still needed. In addition, crop disease and pest detection is a complex task requiring accumulated knowledge and expertise as well as collecting detailed information very often manually. Therefore, on the basis of generic expert system model, this research aims to develop a conceptual model of mobile expert system for pest and disease management. Drawing from the case study of MyCorn development project, this study specifically offers a conceptual model of mobile application which offers a collaborative platform for integrated corn crop disease and pest diagnosis, treatment, and protection. The findings also offer useful practical insights for those who are seeking to build similar expert system for agriculture crops other than corn.
Comparison of Hand Follower and Dead-End Filler Algorithm in Solving Perfect Mazes
Authors: Hendrawan Y F 
Published: July 2020

Abstract
A maze is a collection of walls and spaces arranged in such a way that they form a path/paths commonly connecting an entry point to a goal. There are various kinds of maze solving algorithms. These methods are used in practice to help navigate an autonomous system to find a path within maze to find a target such as an exit point, special item, or location to the next level. This research explored two maze solving algorithms: Hand/Wall Follower and Dead-End Filler. Experiments were conducted to measure the time needed for each algorithm in solving 50 perfect mazes of various sizes. The result showed that Hand/Wall Follower algorithm is faster than Dead End Filler algorithm; for example, in solving 800 x 800 cell mazes, the former required an average time of 98.74 milliseconds while the later needed 215.86 milliseconds.
Application of Latent Factor Model on a Restaurant Menu Recommendation System
Authors: Ifada Noor , Humaidi Zemmy Muamal , Sophan Mochammad Kautsar 
Published: July 2020

Abstract
A restaurant menu recommendation system is becoming a necessity following the trend of eating out at the restaurants. The task of such a system is to generate a top-
N
list of menus that may be of interest to a customer, in which the customer previous rating behavior is used as the learning model. In this paper, we apply the SVD (Singular Vector Decomposition) latent factor model as the learning technique of the recommendation system. Beforehand, we implement the mean imputation technique to fill in the missing rating entries so that SVD can also deal with the new customer that has no rating record in the system. Evaluation on a real-world restaurant menu recommendation dataset shows that our recommendation system is able to generate a top-10 list of menu recommendations to a target customer and that the results of the low-rank approximation using SVD are comparable with that of the full-rank.
Introduction Virtual Reality for Learning Media in Schools in Indonesia
Authors: Kurniawati Arik , Abdullah Fachrizal Farhan , Agustiono Wahyudi , Warninda Sheila Sisilia , Kusumaningsih Ari 
Published: July 2020

Abstract
This paper aims to introduce Virtual Reality (VR) as a learning tool for students. As the first study (Case I), we present a VR simulation as a learning therapy tool using the VAKT method (visual, auditory, kinesthetic, tactile) for children with Autism Spectrum Conditions (ASC). The second example (Case II), VR was used as a display environment to explore biology learning for senior high school students. Finally, the result from our experiences and lessons learned, VR can be used as a tool for school learning both for regular students and ASC.
Optimising the tower-defense games with advanced local cultural content and a greedy algorithm
Authors: Angkoso Cucun Very , Kusumaningsih Ari , Hidayat Nurul 
Published: July 2020

Abstract
The aims of our games is preserving the local culture of Madura island that many people may have left behind. By utilizing mobile technology that is currently growing rapidly, it is expected that the promotion of local cultural content can be more effective. The game-based application is an attractive media with fun content, so it is normally more easy to attract interest and to be familiar with people. Our contribution is to participate in the campaign of familiarization of local wisdom to re-establish the living tradition of regional cultural values as a national identity. Save The Madura Island game is a strategy game which carries out the Madura culture theme. The app allows players to learn Madurese culture happily by playing a game. Save The Madura Island game is inspired by tower-defense games and uses a greedy algorithm as artificial intelligence which is inserted in character of defense to help the character of defense in determining which enemy is more effective to be attacked first. From the experiments, it was concluded that the use of greedy algorithms in the application proved effective in helping reduce the number of enemies who escaped, which decreased from 41.8% to 30.4%.
Improvement of One-Dimensional Fisherface Algorithm to extract the Features (Case study: Face Recognition)
Authors: Muntasa  , Yusuf M , Syarief M , Yulmaini  , Sari P P 
Published: July 2020

Abstract
Recently, computer vision research results have supported many sectors to assist and solve problems. One of branch of the computer vision fields is biometric system. Many modalities have been implemented to depict the human characteristics. Face is one of the modalities that has been employed to recognize the human. A crucial problem of the face recognition is high dimensionality. The problem would impact on the computational performance, and even it could cause the process failure. Feature extraction is the solution to reduce the dimensionality. However, many cases have shown that feature extraction could fail as singularity problem. In this research, we proposed the improvement of the fisherface algorithm to solve the singularity problem. We have modified the singularity covariance matrix so that the matrix can be further handled and processed. The purpose of the paper is to improve the performance of the fisherface algorithm. We have verified our proposed algorithm by using the Olivetty Research Laboratory face image. We applied 7-cross validations to evaluate our proposed algorithm, the evaluation results achieved more than 92% accuracy.
A Novel Conceptual Model of e-Participation using Biometrics Technologies
Authors: Yusuf Muhammad , Muntasa Arif , Agustiono Wahyudi , Anamisa Devie Rosa , Syarief Mohammad 
Published: July 2020

Abstract
Participation from all relevant stakeholders is important to achieve the goal of every activity successfully. Nowadays, Information and Computer Technologies, for example, Biometrics, Internet of Things (IoT) and Big Data are used to support participation from the relevant stakeholders. Electronic Participation (e-Participation) already utilized broadly to empower people participation in politics, business, government, cultural activities. Moreover, Biometrics has been used broadly for an identification system. Biometrics system identifies physiological instead of behavioral attributes, such as palm veins, iris recognition, face recognition, fingerprint, DNA, palm print, hand geometry, retina, and odor/scent. Therefore, this research would like to collaborate e-Participation and Biometrics fields from the multidisciplinary perspective. Furthermore, the literature reviews show that research collaboration between e-Participation and Biometrics Technologies are still limited. Hence, the objective of this research was to develop a novel conceptual model of e-Participation using Biometrics technologies. This paper contributes by developing a novel conceptual model of biometrics technologies for e-Participation implementation. This research has some implications. For theory development, this research contributes to the novel conceptual model in e-Participation, E-Government, Information Systems, Informatics, Computer Science, Image Processing, and Biometrics fields. For Practice, the novel model could be utilized for practitioners, policy-makers, and other relevant stakeholders for e-Participation implementation using Biometrics Technologies.
A Conceptual Model of Indonesian Question Answering System based on Semantic Web
Authors: Syarief M , Agustiono W , Muntasa A , Yusuf M 
Published: July 2020

Abstract
This study aims to develop a conceptual model of question answering system in Bahasa using Semantic web technology. A trigger was built to periodically collect data scattered on the internet in a data center to shorten the query process on data without reducing the data completeness. The test case domain was automotive. This study used four types of ontologies: main ontology, ontologies from manufacturers, dealers, and rentals. This research has some novelties, such as solving the weakness of distributed and centralized data and combining the advantages of both by storing distributed data into a pool (centralized data) periodically, then querying the pool. Furthermore, it makes contribution by providing a conceptual model of Indonesian question answering system, particularly in automotive domain. This has some implications, such as extend the body of knowledge of computer science, especially semantic web and ontology fields.
The Hybrid Ant Lion Optimization Flow Shop Scheduling Problem for Minimizing Completion Time
Authors: Widodo Dian Setiya , Utama Dana Marsetiya 
Published: July 2020

Abstract
This article aims to develop the Ant Lion Optimization (ALO) algorithm for the Permutation Flow Shop Scheduling Problem (PFSP). We use the objective function to minimize completion time. We propose the Hybrid Ant Lion Optimization (HALO) algorithm to minimize completion time in PFSP. We offer one of the total search agents on HALO using the NEH algorithm. Determination of the position of the search agent using a Large Rating Value (LRV). How it works from LRV is sorting from the largest value to the value. To improve the solution for each iteration, we also use swap, flip, and slide exchange procedures. The performance of the HALO algorithm is measured by Efficiency Index Perscentage (EIP). HALO algorithm will be compared with several other algorithms, namely ALO algorithm and Hybrid Whale Optimization Algorithm (HWOA). We conducted numerical experiments with Ten variations of experimental data are used to show the performance of the HALO algorithm. Based on numerical experiments, the HALO algorithm is useful for minimizing completion time.
A reverse logistics model for plastic bottle recycling in Bank Sampah Malang
Authors: Garside A K , Farida U B , Masudin I 
Published: July 2020

Abstract
Malang city government created Bank Sampah Malang (BSM) that offers 3R concept (reduce, reuse, and recycle). BSM is the institution which is oriented toward reducing plastic waste, but their recycling process still has not considered the environmental aspect yet. In this paper, we developed a reverse logistics model for plastic bottle recycling in Bank Sampah Malang (BSM) with consideration minimizing the costs of reverse logistics and environmental impacts. The proposed model takes into account various parameters, including kinds of costs, availability of used plastic bottle, storage capacity, disassembling capacity, vehicle capacity, and demand of chopped plastic. Goal programming is used to formulate mathematical model and LINGO is applied to solve the model. Lingo results indicate the two goals have been achieved because the value of the positive deviation variable associated with the two goals are equal to zero. In addition, we got several decision variable solutions including: number of plastic bottles purchased from depot, number of bottle bodies moved to recycling area, number of bottle bodies recycled, and amount of chopped plastics delivered to firm.
Bioeconomic two predator-prey model of harvesting fishery
Authors: Belwawin S M , Riyana M , Harmawati D 
Published: July 2020

Abstract
In this article, the research conducted is a comparison of the Leslie-Gower model with logistical growth in the harvesting of predatory and prey populations. This study discusses reconstructing a modified logistic growth model by using the Holling III response function as well as voting on predator and prey populations, analyzing equilibrium points, determining and bionomic equilibrium. The bionomic equilibrium from harvesting was carried out on the Leslie-Gower modification model P(x∞,y∞,E∞), maximizing the profit function π of harvesting carried out in the model with pontryagin produced optimal equilibrium (xδ,yδ,Eδ).
Inventory Control System Using Distribution Requirement Planning (DRP) (Case Study : Food Company)
Authors: Ngatilah Y , Rahmawati N , Pujiastuti C , Porwati I , Hutagalung A Y 
Published: July 2020

Abstract
Distribution and inventory are two major components that causes total cost of the product become high. Those two components are not categorized in to the process that added value to the product. This research use Distribution Requirement Planning (DRP) to find the right quantity and short replenishment time in inventory decision that manufacture industries faced to supply their own Distribution Centers and Warehouses in food Company. DRP giving the lower total distribution cost than actual cost. It is because DRP supply products at each Distribution Centers and Warehouses in a minimum quantity using Economic Order Quantity. It also using the similar concept with Material Requirement Planning to find the right delivery time so that it can minimize the total inventory time in The supply chain. DRP can be used to solve the inventory and distribution problem in multi echelon supply chain. From this research, using historical data, DRP gave the minimum total distribution and inventory cost than the initial scenario that company used. Based on DRP result, The total Inventory and Distribution Cost from January to December 2019 is 481.251.325,4.