Application Program Development Research Articles

PSIII-30 Development of an application programming interface (API) to automate downloading and processing of precision livestock data

Abstract Advancements in technology have ushered in a new era of sensor-based measurement and management of livestock production systems. These sensor-based technologies have the ability to automatically monitor feeding, growth, and enteric emissions for individual animals across confined and extensive production systems. One challenge with sensor-based technologies is the large amount of data generated, which can be difficult to access, process, visualize, and monitor information in real time to ensure equipment is working properly and animals are utilizing it correctly. A solution to this problem is the development of application programming interfaces (APIs) to automate downloading, visualizing, and summarizing datasets generated from precision livestock technology. For this methods paper, we develop three APIs and accompanying processes for rapid data acquisition, visualization, systems tracking, and summary statistics for three technologies (SmartScale, SmartFeed, and GreenFeed) manufactured by C-Lock Inc (Rapid City, SD). Program R markdown documents and example datasets are provided to facilitate greater adoption of these techniques and to further advance precision livestock technology. The methodology presented successfully downloaded data from the cloud and generated a series of visualizations to conduct systems checks, animal usage rates, and calculate summary statistics. These tools will be essential for further adoption of precision technology. There is huge potential to further leverage APIs to incorporate a wide range of datasets such as weather data, animal locations, and sensor data to facilitate decision-making on times scales relevant to researchers and livestock managers.

Android Based Inventory Stock Design Case Study On The North Jakarta Transportation Service Subject

Study This aim For visualize design general Android- based Inventory Stock system for the North Jakarta Transportation Sub – Department. Referring to Law Number 1 of 2004 concerning state treasury , goods or assets belonging to the state/ region in is all purchased items _ or obtained on burden Budget State/Regional Revenue and Expenditure (APBN/D) or originate from acquisition other valid ones , or items obtained _ based on decision powerful court _ law fixed ( provisions of Article 2 paragraph (2) of the Regulation Government Number 27 of 2014). Analysis the need will used in do development of "Android Based Inventory Stock Design Case Study On The North Jakarta Transportation Service Sub". Planning application , at stage This done making structure navigation , UML diagrams (use case diagrams, activity diagrams and class diagrams) for use make it easier stage planning to features that will made on the website and also the design appearance for the UI (User Interface) website version using Prototype High Fidelity (Figma). Planning system mean For something method after assessment from movement development , stage preparation For development or creation of application programs . With hope the system will made later can become solution on problems that exist in the North Jakarta Transportation Sub-dept. The Android- based Inventory Stock application provides solution to problem human error in recording inventory Manually. With automated and structured systems , risks _ error write , loss sheet paper , and errors calculation can minimized in a way significant . With connected system _ in a way direct with inventory database , information stock goods can accessed with fast and accurate , enabling takers _ decision For Act in a way more appropriate time . Application This give convenience in tracking inventory , even moment happen error or lost goods . Facility integrated tracking_simplify the process of searching and recovering accurate inventory data.

Development of an application programming interface to automate downloading and processing of precision livestock data

Abstract Advancements in technology have ushered in a new era of sensor-based measurement and management of livestock production systems. These sensor-based technologies have the ability to automatically monitor feeding, growth, and enteric emissions for individual animals across confined and extensive production systems. One challenge with sensor-based technologies is the large amount of data generated, which can be difficult to access, process, visualize, and monitor information in real time to ensure equipment is working properly and animals are utilizing it correctly. A solution to this problem is the development of application programming interfaces (APIs) to automate downloading, visualizing, and summarizing datasets generated from precision livestock technology (PLT). For this methods paper, we develop three APIs and accompanying processes for rapid data acquisition, visualization, systems tracking, and summary statistics for three technologies (SmartScale, SmartFeed, and GreenFeed) manufactured by C-Lock Inc (Rapid City, SD). Program R markdown documents and example datasets are provided to facilitate greater adoption of these techniques and to further advance PLT. The methodology presented successfully downloaded data from the cloud and generated a series of visualizations to conduct systems checks, animal usage rates, and calculate summary statistics. These tools will be essential for further adoption of precision technology. There is huge potential to further leverage APIs to incorporate a wide range of datasets such as weather data, animal locations, and sensor data to facilitate decision-making on time scales relevant to researchers and livestock managers.

Evaluation of the Success Nutrition Fulfillment Campaigns Through Diet in People with Autistic Disabilities Based on Prototyping Tasks in Design Thinking

Consideration of people, problems, and context is part of the design thinking approach to problem solving. Redefining complicated problems effectively can benefit greatly from this method. Specifically in this study, the development of the nutrition fulfillment application program for autistic children. The calculation of the percentage of test participants who successfully completed the task was 94.3%. The prototype provides high effectiveness based on the assigned task related to the daily diet food menus for autism. The results of the evaluation of the efficiency aspect present a value of 0.085 goals/sec which means that test participants completed 1 task in about 11.76 seconds and is more efficient than the manual process. The result of satisfaction evaluation based on SUS shows that average of the result of the questionnaire is 72 from 100 means that the user easily operates the prototype.

Perancangan Pemodelan Unified Modeling Language Sistem Antrian Online Kunjungan Pasien Rawat Jalan pada Puskesmas

Purpose: Puskesmas is the technical implementation unit of the district/city health service responsible for administering health services in its working area. One of the services at Puskesmas is the polyclinic for outpatient visits, where patients come and register at the designated polyclinic and obtain a visit queue number. Currently, registration of outpatient visits at the Puskesmas is still mostly done conventionally by coming to the Puskesmas to take a queue number so that the patient's time is wasted waiting to be called, which is burdensome for the patient's condition when the patient is sick. To overcome this, it is necessary to create an online queuing system for outpatient visits to make the queuing process less time-consuming and help patients save time, especially when they are sick. Methodology: This study focuses on developing a modeling method for designing information systems using unified Modelling Language (UML) diagrams. Results: The results of this study used case diagrams and class diagrams for modeling online queuing systems for patient visits in Puskesmas. It can be used during the application program development and implementation stage of an online queuing system for outpatient visits in Puskesmas. Limitations: This research is only for designing and developing guidelines for patient online queuing system applications. Contribution: This research contributes to the program to develop an online patient queuing system application for an android smartphone-based health centre.

Pengaruh Gender Diversity of Signing Auditors terhadap Kualitas Audit: Studi Empiris pada Perusahaan Sektor Consumer Cyclicals yang Terdaftar di Bursa Efek Indonesia Tahun 2019-2021

Purpose: This study aims to test whether there is an effect of gender diversity of signing auditors on audit quality in consumer cyclical sector companies listed on the Indonesia Stock Exchange in 2019-2021. Methodology: The variables used in this study are audit quality as the dependent variable, gender diversity of signing auditors as the independent variable, and company size, leverage, and inventory as control variables. The data analysis method used in this research is descriptive statistical analysis, classical assumption test, and multiple linear regression test. The results of the study show that gender diversity of signing auditors has no effect on audit quality as measured by earnings management. Firm size has a positive effect on audit quality, leverage has no effect on audit quality and inventory has a positive effect on audit quality. Results: The results of this study are used case diagrams and class diagrams for modeling online queuing systems for patient visits in Puskesmas. It can be used during the application program development and implementation stage of an online queuing system for outpatient visits in Puskesmas. Limitations: This research whose data were obtained from the Indonesia Stock Exchange with a total oobservationsof 87 years of companies.

Fuzzy Inference System for The Risks Pregnancy Detection

Abstract
 One of the causes of the high Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) in Aceh is the delay in handling cases of at risk pregnancies due to the lack of availability of easily accessible and well-documented information about conditions during pregnancy. So far, manual reporting through data recapitulation report was difficult to access quickly if there are cases maternal and infant mortality. Fuzzy logic can be used as an alternative for classifying pregnant women at risk with supporting data when examining pregnant women. Data related to pregnancy checks will be analyzed with a Fuzzy Inference System (FIS) to obtain information on pregnancy risks. The results of this study indicate that FIS can determine the risk of pregnancy more detailed range than using a manual scoring card. The results of the defuzzyfication value will describe the final decision related to pregnancy risk which can be categorized into low risk, high risk and very high risk. The problem solving steps in this study can be used for algorithms in the development of application programming for risky pregnancy early detection systems based on programming languages. ​​

Malicious Software Detection based on URL-API Intensity Feature Selection Using Deep Spectral Neural Classification for Improving Host Security

In recent years, the internet of services has been more responsive to access through the development of various application program interfaces (API). Accessing an HTTP uniform resource locator (URL) contains malicious software intended by the attacker to create security breaches through the use of APIs from various services on the internet. By default, the non-attentive URL downloads and installs malware in the background without the user’s knowledge. The host does not analyze the API-URL security certificate contract due to the feature access by the user. Therefore, the current Machine Learning (ML) techniques only check malware signatures and certificates rather than analyzing URL behaviour based on the impact of a URL accessed from the internet. To address this problem, we propose a novel intelligent malicious software based on URL-API intensity feature selection (IFS) and deep spectral neural classification (DSNC) for improving Host Security. Initially, the URL — successive certificate signing (SCS) of the user link accessibility is verified based on API download rate logs. This system identifies the best malware software. The Link Redirection Stability Rate (LRSR) is estimated based on the Redirection URL by accessing the direct link and redirect link. The domain transformation matrix (DTM) was created to create a pattern to access successive features. URL-API Intensity Feature Selection selects each estimated feature, and the selected features are based on soft-max logical activation with a recurrent neural network (RNN) optimized for deep learning. RNN is trained in the spectral domain for improving computation and efficiency. It predicts the class based on the risk of malicious weight to categorize class by reference. The proposed IFS-DSNC achieves accuracy of 95.6% than the other algorithms such as KNN, NB, CNN, LCS, GCRNC AGSCR. The experimental result shows that the proposed method provides better performance in finding malware software than the existing approaches, thereby improving the security against host breaching.

Digitalisasi Perpustakaan Institut Agama Islam Negeri Madura Sebagai Upaya Pemenuhan Layanan Pemustaka Sejak Pandemi COVID-19

This paper describes efforts to digitize various library services at IAIN Madura in fulfilling user services during a pandemic. The surge in Covid-19 resulted in less-than-optimal library services, even to the point of temporarily closing face-to-face services. This, of course, requires the library to make a variation so that the service remains optimal during a pandemic. One of them is maximizing digital services which are very urgent to be carried out quickly and precisely, so that users can still get library services. This issue was raised, namely how the Madura IAIN library is able to provide digital services to fulfill user services since the Covid-19 pandemic. This research was conducted using qualitative methods with data collection techniques by observation and interviews. The data analysis was carried out descriptively and interpretively based on the latest digital services as well as digital services that are experiencing the process of developing digital library applications at IAIN Madura. The results of this research are the latest digital-based library services and the development of digital applications to serve users since the Covid-19 pandemic. The newest digital library service at IAIN Madura is a digital self-lending service. Meanwhile, digital services that are undergoing application development include e-book, repository, and e-theses services. As for efforts to fulfill user services through library digitization, namely consolidating information technology (IT) teams, developing application programs, and adding library application programs to the IAIN Madura. All of these digital services are very important to be accessible and enjoyed by users during the pandemic and after the Covid-19 pandemic. This is because users still get maximum service with these digital services.

Effects of Methods, Genders, and Interaction to Human Body Temperature Measurement Results Using Tailor-Made Infrared Thermometer and Application Program

The 16-temperature measurement site method is holistic but inefficient. This study compared 8 to 16 temperature measurement site methods on seven married couples. The data gathering was obtained using our infrared thermometer, while the data processing was carried out utilizing Two Way ANOVA with Repetition inserted in our developed application program. Unlike the thermometer in general, our thermometer can equally measure the ear canal and forehead temperature equally. Our made application software was used and validated. The result shows no significant difference between 16 and 8 temperature measurement site methods (F method 0.05 < 4.26). There was no significant difference between male and female temperatures (F gender 1.46 < 4.26), and there was no significant interaction between the method and gender (F interaction 1.51 < 4.26). Male and female temperatures, in general, were almost similar, around 0.57 %, but there was a tendency that they were different in detail. The front head (face), lower part arm, hand, thigh, calf, and feet temperatures for men were slightly higher than for women, while the trunk, upper part arm, and back neck temperatures were slightly higher than men's. Based on these findings, eight temperature measurement site methods can replace the 16-temperature measurement site method. A further study should be carried out to obtain the simplest temperature measurement site but with a significant level of accuracy as the 16-temperature measurement site method. Detail differences between male and female temperatures should also be further investigated.

Cyber-physical energy system simulation tool: framework for network co-simulation, GridLAB-D and ns-3

A cyber-physical energy system consists of information and communication technology, advanced power electronic devices, energy sources, and smart appliances. A simulator is required for research and to further enhancements in the cyber-physical energy system. The integration of a power system and information and communication technology raises the problem of integration of time-driven activity and event-driven activity. The power system simulators are time-driven, while the network communication simulators are event-driven. The Pacific Northwest National Laboratory, Richland, Washington developed a tool named 'framework for network co-simulation (FNCS)' which co-simulates ns-3 (a network simulator) and GridLAB-D (a power distribution system simulator). This work details the enhancement of the FNCS application program (which is integrated into ns-3) to incorporate the functionalities, namely: 1) internal real-time price calculation; 2) day-ahead charging schedule of a battery. The enhancement has been used for the development of cyber-physical application programs, namely, internal real-time pricing and battery charging schedules.

Development of mobile application program to promote travel for the elderly in the city community to use healthcare services in Sirindhorn Hospital, Bangkok

Development of mobile application program to promote travel for the elderly in the city community to use healthcare services in Sirindhorn Hospital, Bangkok

Development and implementation of mapping application program after COVID-19 pandemic in Malang City, of Indonesia

Malang is a city that is very well known for its history and tourism objects. Not only visited by domestic tourists but also many foreign tourists who come to enjoy the beautiful city of Malang. During the Covid-19 pandemic there was a decrease in tourist visits to Malang City by up to 66%. Currently, with various policies related to health protocols, many tourists are starting to return to visit Malang City. To make it easier for tourists to find accommodation in the city of Malang, it is necessary to analyze data on lodging places, facilities, and locations. Then after all the data has been collected, the information will be grouped according to hotel facilities and location, then a hotel mapping application is made with several icons: Malang city map, hotel icon, hotel information data form using MapInfo pro. The hotel mapping application is designed to make it easier for users to search for lodging in the city of Malang, especially in the new normal era after the Covid-19 pandemic.

A framework for multi-perspective process mining into a BPMN process model.

Process mining is mainly focused on process discovery from control perspective. It is further applied to mine the other perspectives such as time, data, and resources by replaying the events in event logs over the initial process model. When process mining is extended far beyond discovering the control-flow models to capture additional perspectives; roles, bottlenecks, amounts of time passed, guards, and routing probabilities in the process can be identified. This is a such extensions are considered under the topic of multi-perspective process mining, which makes the discovered process model more understandable. In this study, a framework for applying multi-perspective process mining and creating a Business Process Modelling Notation (BPMN) process model as the output is introduced. The framework, which uses a recently developed application programming interface (API) for storing the BPMN Data Model which keeps what is produced from each perspective as an asset into a private blockchain in a secure and immutable way, has been developed as a plugin to the ProM tool. In doing so, it integrates a number of techniques for multi-perspective process mining in literature, for the perspectives of control-flow, data, and resource; and represents a holistic process model by combining the outputs of these in the BPMN Data Model. In this article, we explain technical details of the framework and also demonstrate its usage over a case in medical domain.

A Systematic Review of API Evolution Literature

Recent software advances have led to an expansion of the development and usage of application programming interfaces (APIs). From millions of Android packages (APKs) available on Google Store to millions of open-source packages available in Maven, PyPI, and npm, APIs have become an integral part of software development. Like any software artifact, software APIs evolve and suffer from this evolution. Prior research has uncovered many challenges to the development, usage, and evolution of APIs. While some challenges have been studied and solved, many remain. These challenges are scattered in the literature, which hides advances and cloaks the remaining challenges. In this systematic literature review on APIs and API evolution, we uncover and describe publication trends and trending topics. We compile common research goals, evaluation methods, metrics, and subjects. We summarize the current state-of-the-art and outline known existing challenges as well as new challenges uncovered during this review. We conclude that the main remaining challenges related to APIs and API evolution are (1) automatically identifying and leveraging factors that drive API changes, (2) creating and using uniform benchmarks for research evaluation, and (3) understanding the impact of API evolution on API developers and users with respect to various programming languages.

INITIAL GROWTH AND NUTRIENT ACCUMULATION IN PITAYA PLANTS AT DIFFERENT PHENOLOGICAL STAGES1

ABSTRACT Information on nutritional management of pitaya crops are scarce. However, understanding the growth and nutrient accumulation in these plants at different developmental stages can assist in the development of rational soil fertilizer application programs for pitaya crops and decrease production costs. Thus, the objective of this work was to evaluate the growth and nutrient accumulation in pitaya plants throughout the crop cycle. Cladodes of pitaya plants of the Hylocereus setaceus species were grown in polyethylene pots containing a Typic Hapludult (Argissolo Vermelho-Amarelo Eutrófico) under full sun. The treatments consisted of six sampling times: 0, 60, 120, 180, 240, 300, and 360 days after planting (DAP). A randomized block experimental design with four replications was used. Four plants were sampled and evaluated for growth and nutrient accumulation at each sampling time. The pitaya plants presented an exponential growth up to 360 DAP and high nutrient absorption between 300 and 360 DAP. The nutrient and Na accumulations in the cladodes, in decreasing order, were: 3.91 (K), 2.56 (Ca), 1.95 (N), 1.24 (P), 0.45 (Mg), 0.30 (S), and 0.06 (Na) g plant-1, and 14.86 (Zn), 12.72 (Fe), 12.37 (Mn), 5.37 (B), and 1.04 (Cu) mg plant-1. The highest relative growth rate and relative nutrient absorption rate were found between 60 and 120 DAP.

Development of Web-Based Vehicle Service Application Program on CV X In Bekasi

The increasing number of motorized vehicles, followed by the addition of new brands and types of vehicles, is certainly one of the factors causing the development of the automotive world in Indonesia and reflects the increasingly fierce competition in the automotive world. The research was conducted at CV X Bekasi with qualitative descriptive research methods. Data obtained from interviews the data sources were obtained from documents and informants. Research informants were managers, staff and main documents of CV X. Data analysis was carried out using interactive analysis techniques, which included data collection, data presentation, data reduction and conclusion drawing. So far, the manufacture of work orders is still manual (handwritten), so there are still frequent errors in customer service and data. Often the wrong number of spare parts causes the car repair process to be hampered. Can provide output in the form of Work Orders (SPK), Invoices and Reports.

Development of Web-Based Vehicle Service Application Program on CV X In Bekasi

The increasing number of motorized vehicles, followed by the addition of new brands and types of vehicles, is certainly one of the factors causing the development of the automotive world in Indonesia and reflects the increasingly fierce competition in the automotive world. The research was conducted at CV X Bekasi with qualitative descriptive research methods. Data obtained from interviews the data sources were obtained from documents and informants. Research informants were managers, staff and main documents of CV X. Data analysis was carried out using interactive analysis techniques, which included data collection, data presentation, data reduction and conclusion drawing. So far, the manufacture of work orders is still manual (handwritten), so there are still frequent errors in customer service and data. Often the wrong number of spare parts causes the car repair process to be hampered. Can provide output in the form of Work Orders (SPK), Invoices and Reports.

Development of clinical application program for radiotherapy induced cancer risk calculation using Monte Carlo engine in volumetric-modulated arc therapy

BackgroundThe purpose of this study is to develop a clinical application program that automatically calculates the effect for secondary cancer risk (SCR) of individual patient. The program was designed based on accurate dose calculations using patient computed tomography (CT) data and Monte Carlo engine. Automated patient-specific evaluation program was configured to calculate SCR.MethodsThe application program is designed to re-calculate the beam sequence of treatment plan using the Monte Carlo engine and patient CT data, so it is possible to accurately calculate and evaluate scatter and leakage radiation, difficult to calculate in TPS. The Monte Carlo dose calculation system was performed through stoichiometric calibration using patient CT data. The automatic SCR evaluation program in application program created with a MATLAB was set to analyze the results to calculate SCR. The SCR for organ of patient was calculated based on Biological Effects of Ionizing Radiation (BEIR) VII models. The program is designed to sequentially calculate organ equivalent dose (OED), excess absolute risk (EAR), excess relative risk (ERR), and the lifetime attributable risk (LAR) in consideration of 3D dose distribution analysis. In order to confirm the usefulness of the developed clinical application program, the result values from clinical application program were compared with the manual calculation method used in the previous study.ResultsThe OED values calculated in program were calculated to be at most approximately 13.3% higher than results in TPS. The SCR result calculated by the developed clinical application program showed a maximum difference of 1.24% compared to the result of the conventional manual calculation method. And it was confirmed that EAR, ERR and LAR values can be easily calculated by changing the biological parameters.ConclusionsWe have developed a patient-specific SCR evaluation program that can be used conveniently in the clinic. The program consists of a Monte Carlo dose calculation system for accurate calculation of scatter and leakage radiation and a patient-specific automatic SCR evaluation program using 3D dose distribution. The clinical application program that improved the disadvantages of the existing process can be used as an index for evaluating a patient treatment plan.

Developing Application in Anticipating DDoS Attacks on Server Computer Machines

The use of server computer machines in companies is primarily a web hosting server that is very easy to experience threats, especially external security threats such as attempts to infiltrate, hacking, viruses, and other malicious attacks. Having a secure server is indispensable for working online and especially if involved in business-related network transactions. The Server's realization to be safe from threats is to protect the server machine's security on the hardware and software side and pay attention to network security that goes to the server machine. Generally, firewall applications on router devices have configuration limitations in securing the network, namely non-integrated applications. In other words, it is necessary to manage the perfect firewall configuration to anticipate Distributed Daniel attacks of Service (DDoS) attacks. Therefore, this study aims to integrate existing firewall applications for router devices into an integrated program to secure the network. The methodology used is the Network Development Life Cycle (NDLC). The research results on this developed application program can overcome DDoS attacks without setting up a firewall on the router device and can automatically monitor DDoS attack activities from outside the Server. Securing servers from DDoS attacks without setting up a firewall on the router device and automating the monitoring of DDoS attack activity from outside the Server are the novelties of this study that have not been available in previous studies.