UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Air and Seawater Quality Assessment Around Selected Area in Panjang Port Lampung Region
The port area is a diverse business district, both industry and other activities. Even though it is positioned far from residential areas, the impact of its activities indirectly still reaches the surrounding community. The environmental conditions of the port area need to be controlled routinely so that their management does not violate applicable regulations. Environmental management is needed so that risks arising from all activities can be controlled. Panjang Port as one of the well-developed fuel storage terminals as part of the Pelindo II region. This study has been designed to assess air quality and seawater quality around Panjang Port, Bandar Lampung, Indonesia. Several air quality parameters and marine water quality parameters were monitored from 2011 to 2013. The air quality sampling conducted in the fuel storage tank area and chemicals as well as supporting facilities. The air quality parameters are SO2, NO2, O3, CO, H2S, and dust. The results of data analysis showed several air quality parameters such as SO2, NO2, O3, dust, H2S, and NH3 are below the threshold of minimum quality standard. Only the CO parameter tends to increase semester to semester. The seawater quality parameters include physical, chemical, and biological quality. Almost the physical quality parameters are below the quality standard, thus the chemical quality too, except the pH and TSS tends to higher than a quality standard. In general, these studies on air quality and seawater quality at the Panjang Port have been carried out well and the results show that the environmental conditions for the Panjang Port area are still quite good, only it is recommended to add a green area around the site
Application Design for Registration of Civil Appeals with Intuitive District Courts
In designing user interface that are intuitive or easy to understand, users have their own challenges where they must continue to develop so that users can easily use existing applications. There are many user interface designs that are less intuitive not only on the display design, but also on the text and the colors used. This paper aims to create an intuitive user interface design by interviewing potential users from the place where the application will be implemented. The method used is intuitive by means of a literature study approach, and interviews. The results of this research are user interface design and system flow design. With an intuitive display, it makes easier for users to use the application
Implementasi Data Mining pada Penjualan Kartu Perdana Internet di Purnama Ponsel Menggunakan Metode Algoritma Apriori
Purnama Ponsel is a mobile business which is engaged in selling internet starter packs. Internet starter packs are cards that are used with restrictions or limits on internet usage, where by using this internet starter pack the user can save credit because all activities use quotas except telephone (voice calls) and Short Message Service (SMS). Some companies compete by issuing internet premieres so as to reduce access costs. This competition can be seen from the number of internet starter packs that are sold simultaneously and know the inventory for the next month. So to facilitate the calculation of cell phone owners using data mining with apriori algorithm method to complete this research. Using the apriori algorithm method can help mobile full moon owners in the calculation process on full moon cellphones using the Tanagra application and is expected to reduce the number of cards that expire and can predict how many card supplies are needed for the following month.
Implementasi Algoritma Advanced Encryption Standard (AES) pada Layanan SMS Desa
Along with the development of technology, Short Message Service (SMS) has begun to be used to communicate between someone and the system in an agency. But in some cases, the security of messages sent through the SMS application has not been well protected. To improve data security and confidentiality, cryptographic algorithms with Advanced Encryption Standard (AES) can be done. The method used is the Waterfall method. AES encryption testing is done by comparing the manual calculations and the results of the encryption on the system. Blackbox test, CrackStation test, and Avalanche Effect (AE) test were also carried out. Brute force test results using CrackStation software that ciphertext cannot be solved. And in the avalanche effect (AE) test, the AE value of each 128-bit AES key is 44.53%, 192-bit is 48.44%, and 256-bit is 56.25%. Therefore, 192-bit and 256-bit AES keys are recommended for use because AE values are in the range of 45% - 60%
Rancang Bangun Film Animasi 3D Sejarah Terbentuknya Kerajaan Samudra Pasai Menggunakan Software Blender
Indonesian people\u27s knowledge about the history of kingdoms in Indonesia was decreased. Now the existence of history books was shifted by the rapid development of technology. Realized this, many educational institutions were involved in technology to their learning media. To support that, the writer will use technology to create a learning media, named 3D short animated films. This kind of film turned out to attract the publics\u27 attention, ranging from children to adolescents. The animated film will be designed with the theme of the first Islamic kingdom in Indonesia, named the Samudra Pasai kingdom with a duration of approximately 3 minutes. this animated film was made by Blender software version 2.79. The design of this animation aims to increase knowledge as well as learning media for students about the history of the Indonesian people, especially the history of Samudra Pasai kingdom
LAYOUT PLANNING FLOOR PRODUCTION BREAD FACTORY USING SYSTEMATIC LAYOUT PLANNING METHODS
Tight competition in the food industry especially bread does not shrink the sales of bread produced by CV. Anni Bakery, but there are some problems that arise at this time, the limited production floor which is increasingly narrow due to increased production without adjusting existing capacity and the irregular placement of production floor facilities. The background is used as a reference for the company to create a new factory. The purpose of this study is to propose the layout of production floor facilities with the right facility layout so that the cost of transferring materials is small. The systematic layout planning (SLP) approach was used. The result performance of the 1st proposal layout obtained material handling distance of 405 meters while in the 2nd proposal layout the material handling distance becomes 386 meters. The cost of moving the proposed material to 1 obtained a total cost of 22,644,300 rupiah per month, while in the second material transfer fee the total cost of 21,993,825 rupiah per month. Based on the alternative initial layout and the proposed layout, the most suitable layout is the second proposal layout.. So this facility layout plan is feasible for new factory to create
SWITCHED RELUCTANCE MOTOR CONTROL BASED ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
This paper gives some studies on the model of Switched Resistor Motor (SRM). The adaptive neuro-fuzzy inference system (ANFIS) is used to model the inductance and moment of the SRM. Then, the PI Controller is applied to model the inductance and flux bond of the SRM. Comparing these two types of modeling method, it is clear that although the PI Controller method can do online research, it is not as accurate as ANFIS.
Web-Based Neighborhood Management Information System Using Laravel PHP Framework (Case Study RT. 07 Manggung, Wukirsari, Imogiri, Bantul)
Management and management of data is one of the most important things for neighbor administrators, so data and information related to the notulency, attendance, financial and assets must be accessed quickly and precisely. RT 07 Hamlet Manggung is the government line that is closest to the Community. Currently the recording of data for Notulency, attendance, family cards and assets is still Manual and has not used any technology that improves effectiveness in data management pillars Neighbors. This system is built using Unified Software Development development method process (USDP), with the Unified Modelling Language (UML) modelling. In the inception phase all RT management data related to system requirements, elaboration phase is done to expand management system concept that already formed in phase inception, phase contruction done making management system, and in the transition phase is done to expand the system. Management. This maturation needs to be done to analyse whether the information system that has been made according to user needs. Then the system is built with the language PHP programming and MySQL databases using the Laravel framework, once it is done test system using alpha test and beta test
Detection of Rice Plants Diseases Using Convolutional Neural Network (CNN)
As a rice-producing plant, rice plant (Oryza sativa L.) is one of the most important crops in Indonesia. Rice production is increasing every year along with an increase in rice demand and population.The amount of rice production is affected by the condition of the rice plants. The worse the condition of rice plants, the rice production will also lower. Rice plant is very susceptible to diseases or pests that can reduce its productivity, including brown spot disease, leaf smut and bacterial leaf blight. As the development of science and technology, currently known as Artificial Intelligence. Artificial intelligence is a combination of several scientific disciplines such as mathematics, statistics, computer science, and even social science. Using artificial intelligence, the system now have the ability to interpret external data correctly to learn from the data and then use the learning to achieve certain goals through flexible adaptation. The artificial intelligence fields consists of several branches, such as machine learning and deep learning. Neural Network (NN) is one of the methods used in the deep learning.NN has many types, one of which is the Convolutional Neural Network (CNN). CNN is the best-knownmethod used for processingimages data compared to other types of NN. Therefore, in this study the identification of rice plants diseases was carriedout using CNN method. From this study,better results were obtained compared to other methods, obtaining 100% accuracy for training data and 86,67% for testing data. The model obtained by the CNN method can be used for detecting 3 different types of rice plants diseases, there are brown spots, leaf smuts, or bacterial leaf blight disease based on the physical images of rice plant leaves
School Performance Measurement Based on Business Architecture
School performance measurement is the process of collecting, processing, analyzing and interpreting data about the quality of work carried out by school members in carrying out their main tasks and roles. Measuring the performance of an organization will encourage the achievement of objectives in the organization. A performance measurement system must be built so that the information obtained is as much and as accurate as possible. Business architecture is a formal representation and tools as well as information for business professionals in assessing, changing and designing a business. Business modeling will show the relationship of organizational behavior with the information needed, and the relationships that occur within the organizational structure, so that business architecture is the main thing that must be completely defined before continuing on to the next stage. To encourage schools to achieve goals and design business strategies that are in line with the objectives, this research will propose a system for measuring school performance based on business architecture