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Application of Linear Programming in Oil Production Distribution Networks: Literature Review Yasir Salih; Hani Rubiani
International Journal of Research in Community Services Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v1i3.102


In the oil production distribution network, there are three main nodes, namely the supply node, the transshipment node, and the demand node. The pattern of distribution of oil production from the supply node to the demand node is very diverse and can affect the costs to be incurred. Therefore, a company must be able to determine the right distribution pattern, so that the costs incurred are optimal. This paper intends to conduct a study of how to determine and calculate the distribution patterns and the minimum total costs incurred, using the primal-dual linear program method. Based on the results of the case analysis, it is known that the number of supply commodities will be the same as the number of demand commodities, but the distribution from each source does not necessarily have the same capacity and costs. Therefore, the distribution pattern is determined based on the existing cost and capacity, so that cost optimization can be achieved.
Publisher : The Research and Community Service Institute of Andalas University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/bina.v3i4.269


Integrated Service Post is one form of community-based health efforts organized by and for the community that aims to empower the community and provide convenience to the community. Communities targeted by Posyandu include pregnant women, breastfeeding mothers, women of childbearing age, men of childbearing age, infants and toddlers in obtaining essential health services. The data on the results of the Posyandu activities are recorded in the administration book by the Posyandu cadres. Many Posyandu still records manual data; that is, the data is written in administrative books, which causes cadres to find it challenging to monitor all participants from time to time and make it challenging to report by the Health Office standards. Including one that occurred at the Cendana Posyandu as a partner located in 17, Kahuripan Village, Tawang District, Tasikmalaya City. The solution to this problem is to propose applying an information system that can facilitate data management and administration of partner posyandu, especially in the availability of effective and efficient data. This activity aims to implement the posyandu information system at the Cendana posyandu to improve the quality and accuracy of data management. The result of this activity is the availability of a Posyandu information system in a systematic, effective and efficient manner. It can make it easier for cadres to monitor the development of mothers and toddlers from time to time and facilitate report generation.
Estimasi Posisi Objek dalam Gedung Berdasarkan GSM Fingerprint Hani Rubiani; Widyawan; Lukito Edi Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar


Abstract—Most research of indoor localization is based on the use of short-range signals, e.g. WiFi, Bluetooth, ultra sound, and infrared. This research discusses indoor localization using the Global System for Mobile Communication (GSM). The GSM has many advantages that is explained as follows. The system can be used in vast area coverage and worked even the electrical condition of the building is being extinguished. The estimation of object position uses Receive Signal Strength (RSS) GSM fingerprinting. The experiment is conducted with 2, 3, and 4 cell-ID. The localization phase uses Naive Bayes (NB) method. Afterwards, the results will be compared with Nearest Neighbour (NN) method. The results show a correlation between the number of cell ID with average minimum distance error. The accuracy is 7.89 m using NB with four cell ID. The error is better than the use of k-NN method which has accuracy of 12.19. For the all scenario, NB method has better accuracy than k-NN method.Intisari—Sebagian besar penelitian estimasi posisi objek dalam gedung berdasarkan pada penggunaan sinyal jarak pendek, seperti WiFi, Bluetooth, ultra sound, dan infrared. Dalam penelitian ini dibahas estimasi posisi objek dalam gedung menggunakan Global System for Mobile Communication (GSM). Penggunaan GSM mempunyai kelebihan pada jangkauan area yang luas. Penentuan posisi objek menggunakan Receive Signal Strength (RSS) GSM fingerprinting. Skenario percobaan dilakukan dengan jumlah Cell-ID sebanyak 2, 3 dan 4 Cell-ID. Estimasi posisi pada tahap positioning menggunakan metode Naïve Bayes (NB) yang hasilnya dibandingkan dengan metode k-Nearest Neighbour (k-NN). Hasil estimasi posisi menunjukkan adanya pengaruh jumlah Cell-ID terhadap jarak kesalahan rata-rata minimum. Dengan menggunakan metode NB akurasi sebesar 7.89 meter pada pengukuran dengan jumlah Cell-ID sebanyak 4. Kesalahan tersebut lebih baik daripada menggunakan metode k-NN dengan akurasi sebesar 12.19 meter pada jumlah Cell-ID yang sama yaitu 4 Cell-ID. Pada semua skenario percobaan, metode NB lebih baik dibandingkan dengan k-NN.