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PENILAIAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Kemala Sari Siregar, Guna Yanti; Wulandari, Ika Arthalia
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Competition in service quality between companies requires companies to make improvements and improve the quality of Human Resources continuously. BPR Inti Dana Sentosa always strives to improve internal quality on a regular and ongoing basis by evaluating the human resources involved in the production process. HR assessment is still done by a manual method so that the process becomes very slow, and the results obtained are not accurate, even it seems subjective. While objectivity is needed to support the right decision to employ useful human resources for an extended period. This study aims to assist BPR Inti Dana Sentosa in deciding on employee assessment results by implementing the Simple Additive Weighting method. Based on nine processed employee sample data, it founded that the employee with the code 'Employee 2' was the best employee candidate. This result proves that the SAW method can help the decision-making process in the problem of determining the best employee of a company.

MACHINE LEARNING BERBASIS DESKTOP DAN WEB DENGAN METODE JARINGAN SYARAF TIRUAN UNTUK SISTEM PENDUKUNG KEPUTUSAN Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case of a scholarship decision support system. The language used is Python with two web-based applications including Google Interactive Notebook and Flask framework. Both devices have their respective advantages and are worthy of being the first choice in the design of decision support systems.Python has advantages with framework Flask support and Matlab is easy in interface design.    

SISTEM INFORMASI FASILITAS DI DKI JAKARTA BERBASIS ANDROID DENGAN ALGORITMA FLOYD WARSHALL Rachman, Ali; Leidiyana, Henny
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Mobile devices, especially the Android operating system, are very easy to use to provide information related to work or location precisely and accurately, especially searching for the location of facilities in DKI Jakarta, such as hospitals, fire stations, restaurants, hotels, and other places. But so far the problem is often encountered related to inaccurate information reports where reports take the form of images and text without a real location statement. For this reason, it is necessary to design a mobile application that can provide detailed information about the location of several public facilities in DKI Jakarta using the Software Development Life Cycle (SDLC) method. Applications that are made can provide information that has several features including image information, title, description, location, and weather.

SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PERSENDIAN MENGGUNAKAN METODE CERTAINTY FACTOR Leidiyana, Henny; Hariyanto, Risvan Dwi
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

If someone feels unwell, they will usually make a diagnosis and find the solutions before deciding to consult a doctor. As with joint disease with symptoms of pain that are still mild, there is no time to go to the doctor, fees, or other reasons. Especially now through information via the internet can be easily obtained. To assist in identifying and improving the accuracy of diagnosis, it is necessary to have a web-based expert system application to diagnose joint disease using certainty factor methods. The research method used is using SDLC (Software Development Life Cycle). An expert system that has been made can be used as early detection and get solutions for joint diseases and preventive measures to treatment

Penentuan Calon Kepala Depo Pada PT Lancaster Nusantara Cigarindo Menggunakan Metode SAW Wulandari, Ika Arthalia; Siregar, Guna Yanti Kemala Sari
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 2 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i2.4187

As a quality and service improvement process, the management has thought and decided to establish a new branch in Metro City. Determining the Head of Depo is an absolute necessity for a branch office to open. The importance of the duties of the Head of Depo (Kadepo) means that the management from the head office must precisely determine the Kadepo candidates to lead the branch office candidates. The decision support system for determining Depo Head candidates has the objective of selecting the Depo Head from several Depo Head candidates who have been nominated by utilizing this decision support system using the Simple Additive Weighting (SAW) method. This study aims to help PT. Lancaster Nusantara Cigarindo in making decisions on the results of Candidates for Head of Depo. The five specified data for Depo Head Candidates found that the Chosen Candidate with code CK1 was the best Depo Head candidate. This proves that the SAW method can be used to determine the Candidates for the Head of Depot in a company.

Aplikasi Pengendalian Persediaan Barang Berbasis Android dengan Metode Economic Order Quantity (EOQ) pada Bengkel Dunia Motor Leidiyana, Henny; Anugrah, Arya
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 2 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i2.4217

Good inventory control is something that must be considered in inventory management. The world of motorbikes is a special Honda motorcycle workshop which has a problem, namely a large supply of slow moving parts while a shortage of fast moving supplies. Employees in the spare parts department are also often confused in picking up parts from the warehouse because of unclear inventory information. As a solution, an application is made that applies an optimal inventory of goods using Economic Order Quantity (EOQ), which is a method used to determine the most economical amount of purchases made every time a purchase. Using services from Firebase will simplify the application development process. Because the application is general in nature, for more specific use by considering the characteristics, type and size of the goods, the application can be developed.

Penerapan Web Service pada Integrasi Database Simperpus dan SIAK Menggunakan Rest API Nugroho, Setiya; Primadewi, Ardhin
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 2 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i2.4225

Library Information Systems and Academic Information Systems that are not integrated with each other have resulted in duplication and inconsistency of data. This study aims to integrate databases by implementing web services in both systems. Simperpus uses the Rest Client and SIAK uses the Rest Server. The exchange of data between the server utilizes JSON. This research uses UML as a system design modeling with several diagrams, namely use case diagrams, class diagrams, sequence diagrams, activity diagrams, component diagrams, and deployment diagrams. Writing programming language in the study is the Codeigniter framework with MySQL database. The test results showed that the process of sending data in JSON format from SIAK to Simperpus obtained a response time of 137 ms.

Penentuan Lokasi Lahan dengan Sistem Pendukung Keputusan Kriteria Jamak Berbasis Sistem Informasi Geografis Herlawati, Herlawati; Khasanah, Fata Nidaul
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 2 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i2.4548

Searching for appropriate land for a specific purpose is important, especially in a city. Some studies used multicriteria analysis searching for the best location, such as AHP, ANP, SAW, etc. However, the study usually uses some statistical methods that need more processing for the end-users. This study uses a Geographic Information System (GIS) to implement the multicriteria analysis for searching the proper land use location, especially for business and education in Bekasi City, West Java, Indonesia. Same layers for analysis were created using ArcGIS 10.1, including pollution, road, flood risk, open space/park, lake and recreation area, and land price. The weight-overlay method was used as a multicriteria method. The result showed the three regions for business and education, i.e. high, medium, and low suitability. The conversion from the region into administrative boundary is generated in order easy for local land-use planners to implement their plans.

Perancangan Sistem Informasi Online Self service Perpustakaan Universitas Muhammadiyah Magelang Astianto, Dwi; Fatimah, Yun Arifatul; Pujiarto, Bambang
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 2 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i2.4575

Library systems of Muhammadiyah University of Magelang still uses manual way for the borrowing, renewals and returns processes, so it takes a long time to get information needed. Therefore, it needs adequate library information system for the automatic borrowing, repayment, and borrowing requests processes which produces information quickly and accurately. This research aimed to design an online Self service information system for procces in the library of Muhammadiyah University of Magelang. This system uses the online Self service for the book reservation and book extension process. Self service on this study is in the transaction book service, because the system is able to record borrowing transaction data automatically after the lending process is completed. Thus it is not necessary to input the data manually by officers transaction. This research is able to make a reservation and extension system of books online. In addition the borrowing transactions will be automatically recorded if the user uses the system. The conclusions obtained from this study is the borrower will be easier to borrow and renew online. In addition, the system can also allow officers to keep the records of transactions and to monitor the books on library Muhammadiyah University of Magelang

Identifikasi Penyakit Tanaman Ubi Kayu Berdasarkan Citra Daun Menggunakan Metode Probabilistic Neural Network (PNN) Sari, Yuslena; Alkaff, Muhammad; Arif Rahman, Muhammad
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.4605

Cassava or better known as cassava is one of the staples of rice which is popular in Indonesia. Cassava plants can flourish in almost all regions of Indonesia. However, cassava is a plant that is susceptible to plant disease, which attacks the disease resulting in a decrease in the amount of productivity of tubers produced by cassava plants. The application of identifying cassava disease based on leaf image is expected to be useful as a support for cassava farming in easily detecting cassava disease, so that it can be dealt with more quickly. This study uses the Gray Level Co-occurrence Matrix (GLCM) method as an extraction feature and the Probabilistic Neural Network (PNN) method for identification processes. Based on the results of tests on 6 types of cassava leaf images, obtained an accuracy of 83.33%.

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Contact Name
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Contact Email
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Journal Mail Official
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Location
Kab. magelang,

Jawa tengah

INDONESIA