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Optimize Production Based on Goods Using Supply Chain Management Retnowo, Murti; Waluyo, Anita Fira
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN XXX-XXX-XXXXX-
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Competitive competition and the advent of the global marketplace becomes its own challenges, these challenges are associated with getting products and services are timely and low cost. Resolution to face both these things one of which with the application of Supply Chain Management (SCM). SCM is very effective for use in addressing the supply chain and securing competitive advantage and improve organizational performance not only within the Organization but the Organization among the supply chain. SCM will be used to provide the information the State of the stocks of raw materials and will be enabled as a reminder (reminder) and the order of the raw materials to the supplier by using Massage Passing or SMS Gateway. Model SCM is expected to control the inventory of goods, either over stock or stocks that are already able to save stock with time quickly and efficiently.

Multithread to Accelerate Process Data Sync Using MapReduce Model Programming Murti Retnowo
International Journal of Applied Business and Information Systems Vol. 2 No. 1 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Research in the processing of the data is the data shows that the larger Increasingly requires a longer time. Processing of huge amounts of data on a single computer has limitations that can be Overcome by parallel processing. This study utilized the MapReduce programming model synchronization by duplicating data, data from database client to database server. MapReduce is a programming model that was developed to speed up the processing of large data. MapReduce application models on the training process performed on the data sharing that is adapted to the number of sub-process (thread) and data entry into the database server and display data from the synchronization process. The experiments were performed using 1,000, 10,000, 100,000 and 1,000,000 data, and use the thread as much as 1, 5, 10, 15, 20 and 25 threads. The results of this process showed that the use of the MapReduce programming model can result in faster but require a longer time to create many threads. The results of use MapReduce programming model can provide more efficiency time in processing synchronizing data, both on a single database or a distributed database

Supply Chain Management to Optimize Production Based On Goods Murti Retnowo; Anita Fira Waluyo
International Journal of Applied Business and Information Systems Vol. 3 No. 2 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

Competitive competition and the advent of the global marketplace becomes its own challenges, these challenges are associated with getting products and services are timely and low cost. Resolution to face both these things one of which with the application of Supply Chain Management (SCM). SCM is very effective for use in addressing the supply chain and securing competitive advantage and improves organizational performance not only within the Organization but the Organization among the supply chain. SCM will be used to provide the information the State of the stocks of raw materials and will be enabled as a reminder (reminder) and the order of the raw materials to the supplier by using Massage Passing or SMS Gateway. Model SCM is expected to control the inventory of goods, either overstock or stocks that are already able to save stock with time quickly and efficiently.

SINKRONISASI DATA DENGAN PEMROSESAN PARALEL MENGGUNAKAN MODEL PEMROGRAMAN MAPREDUCE Murti Retnowo
JURNAL INFORMATIKA DAN KOMPUTER Vol 1, No 2 (2017): SEPTEMBER - JANUARI 2017
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Penelitian dalam pemrosesan data menunjukan bahwa semakin besar data semakun membutuhkan waktu yang lebih lama. Pemrosesan data berukuran besar pada komputer tunggal memiliki keterbatasan yang dapat diatasi dengan memproses data secara paralel. Penelitian ini memanfaatkan model pemrograman MapReduce pada sinkronisasi data dengan melakukan duplikasi data dari database client ke database server. MapReduce adalah model pemrograman yang dikembangkan untuk mempercepat pemrosesan data berukuran besar. Penerapan model MapReduce pada proses pelatihan dilakukan pada pembagian data yang disesuaikan dengan jumlah sub-proses (thread) dan pemasukan data ke database server serta menampilkan data hasil sinkronisasi data. Percobaan dilakukan dengan menggunakan data sebesar 1.000, 10.000, 100.000 dan 1.000.000 data, serta menggunakan thread sebanyak 1, 5, 10, 15, 20 dan 25 thread. Hasil penelitian menunjukan bahwa penggunaan model pemrograman MapReduce dapat menghasilkan waktu yang lebih cepat, namun waktu untuk membuat thread ketika jumlah thread yang banyak memerlukan waktu yang lebih lama. Hasil penggunaan model pemrograman MapReduce dapat memberikan efisiensi waktu dalam melakukan sinkronisasi data baik pada database tunggal maupun database terdistribusi.Kata Kunci: mapreduce, sinkronisasi data, multithread, message passing, Static Tasks Assigment

Information system to determine study programs for prospective students based on Android Murti Retnowo; Ikrimach -
Compiler Vol 11, No 1 (2022): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

The development of information technology, especially the technology that exists on smartphones is very large, so many people have smartphones, with the existing smartphones at this time it can be used for various things, one of which is the determination of study programs for prospective new students. The selection of study programs that are permanent and in accordance with their abilities is one way for students to be able to complete their studies at universities. Many students are confused and careless in choosing a study program. There are also those who choose a study program only to go along with their friends so that during the lecture process there are many obstacles to achieve a bachelor's degree, even having to take education until the end of the study period. Multi Criteria Decision Making is one of the ways that can be used to help prospective students based on their own abilities, especially since the program is made specifically for Android-based Smartphones. Thus, prospective students can try to choose the best based on the values that match the criteria determined by the desired study program without being embarrassed to know whether to be accepted in the chosen study program or not. The use of the Android platform is because almost everyone now has an Android-based smartphone so that applications can be downloaded for free on the Play Store.

Syncronize Data Using MapReduceModel Programming Murti Retnowo
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v3i2.140

Research in the processing of the data shows that the larger data increasingly requires a longer time. Processing huge amounts of data on a single computer has limitations that can be overcome by parallel processing. This study utilized the MapReduce programming model data synchronization by duplicating the data from database client to database server. MapReduce is a programming model that was developed to speed up the processing of large data. MapReduce model application on the training process performed on data sharing that is adapted to number of sub-process (thread) and data entry to database server and displays data from data synchronization. The experiments were performed using data of 1,000, 10,000, 100,000 and 1,000,000 of data, and use the thread as much as 1, 5, 10, 15, 20 and 25 threads. The results showed that the use of MapReduce programming model can result in a faster time, but time to create many thread that many require a longer time. The results of the use of MapReduce programming model can provide time efficiency in synchronizing data both on a single database or a distributed database.

Penerapan Supply Chain Management Untuk Mengoptimalkan Produksi Berdasarkan Persediaan Barang Murti Retnowo; Anita Fira Waluyo
Journal Of Information System And Artificial Intelligence Vol. 2 No. 2 (2022): Journal of Information System and Artificial Intelligence Vol II, No II Mei 202
Publisher : Universitas Mercu Buana Yogyakarta

Competitive competition and the arrival of global markets are challenges, these challenges are related to getting products and services that are on time and at a low cost. Organizations or companies begin to realize this and to deal with it is not enough just to increase efficiency in organizations or companies, but the entire supply chain must be competitive. Increasing competition between companies in both local and international markets makes managers determined to focus on how to gain competitive advantage in order to stay in business. At present the achievement of fulfilling customers and getting their trust becomes more and more difficult. This can be obtained through the improvement of products and services, to fulfill both of them, one of which is the application of Supply Chain Management (SCM) and Outsourcing, SCM and Outsourcing methods have been recognized as ways to gain competitive advantage

Syncronize Data Using MapReduceModel Programming Murti Retnowo
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Research in the processing of the data shows that the larger data increasingly requires a longer time. Processing huge amounts of data on a single computer has limitations that can be overcome by parallel processing. This study utilized the MapReduce programming model data synchronization by duplicating the data from database client to database server. MapReduce is a programming model that was developed to speed up the processing of large data. MapReduce model application on the training process performed on data sharing that is adapted to number of sub-process (thread) and data entry to database server and displays data from data synchronization. The experiments were performed using data of 1,000, 10,000, 100,000 and 1,000,000 of data, and use the thread as much as 1, 5, 10, 15, 20 and 25 threads. The results showed that the use of MapReduce programming model can result in a faster time, but time to create many thread that many require a longer time. The results of the use of MapReduce programming model can provide time efficiency in synchronizing data both on a single database or a distributed database.

Rain conditions affect the transmission of Streaming video data on Aeromodelling Agus Suhendar; Murti Retnowo
Compiler Vol 12, No 1 (2023): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v12i1.1604

Streaming is the process of sending data continuously that can be broadcast over the internet. FPV (First-person view) is a method used to control radio control vehicles from the pilot. Analysis of live video streaming service on FPV aeromodelling with standard configurations to determine the maximum results for live video streaming service on FPV aeromodelling. Distance measurements and environmental conditions are also necessary to determine the performance of live video streaming. Then, the performed on a Quality of Service (QoS) analysis, including measurement of delay, jitter, and throughput using Wireshark. From the tests that have been carried out, the comparison of the best value between the measurement of data delay with a value of 0.0085 m/s, for a jitter of 20.294 m/s and a throughput of 0.009 m/s is obtained, all of which are in accordance with the standards recommended by ITU-T. So that, the overall QoS obtained gives sufficient results.

Implementation of Multi-Criteria Decision Making (MCDM) for new student majors recommendations Ikrimach; Murti Retnowo
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 4 No 1 (2022): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Selection of the right major and according to ability is one way for students to be able to complete their studies at college. Error choosing majors is a problem that is often experienced by students. Many students are confused and careless in choosing a major, there are also those who choose a major based on the wishes of their parents or following a friend, so that during the lecture process there are many obstacles to achieving a bachelor's degree, even having to take education until the end of the study period, Multi Criteria Decision Making is one way that can be used to help recommend prospective students based on their abilities. The program is made specifically for Android-based Smartphones, so that prospective students can try to choose based on values that match the criteria determined by the desired major without having to feel afraid or embarrassed to know whether to be accepted into the department or not. So with the creation of this system, it is expected to be able to provide recommendations to prospective students in choosing majors that are in accordance with their academic abilities and effective study time.

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