RFID Sensor for Automated Prediction of Reorder Point (ROP) Values in a Vendor Management Inventory (VMI) System Using Fuzzy Time Series

Suryono, Suryono; Suseso, Jatmiko Endro; Mashuri, Chamdan; Sabila, Alzena Dona; Nugraha, Joanna Ardhyanti Mita; Primasiwi, Mara Huriga

doi:10.1166/asl.2017.8774

Cited by 11 publications

(10 citation statements)

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“…This research is to improve the service of post-natal patients using online information systems. The use of information systems can improve organizational performance because the process can be done automatically by increasing economic benefits [5].…”

Section: Introductionmentioning

confidence: 99%

Implementation Data Mining using Decision Tree Method-Algorithm C4.5 for Postpartum Depression Diagnosis

2018

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Postpartum depression is a serious problem that needs to be addressed because it has negative effects on family, child welfare, cognitive, and mother child interactions. Diagnosis is done based on psychological condition, blood pressure, respiration, body temperature, and classification data extract by decision tree C4.5 algorithm method. Results of this study in the form of an online information system that can identify the level of depression more quickly and precisely. The results showed the greatest gain on the psychological variables of 0.57 node 1, blood pressure 0.54 node 2, body temperature 0,54 node 3, means that the three variables are more influential on the condition of depressed patients, and should be given priority treatment. Test results from 50 patients with 50 examinations showed 62% prevalence, 65.62% sensitivity, specificity 77.77%, negative predictive value of 56%, and positive predictive value 84%, and

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Section: Introductionmentioning

confidence: 99%

Implementation Data Mining using Decision Tree Method-Algorithm C4.5 for Postpartum Depression Diagnosis

2018

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“…In inventory systems, the use of RFID technology is believed to have a major impact on revenue increase [5], such as in clothing retail industries, health industries, education, etc. The application of RFID technology used in healthcare apparel management research can also save up to 30% of total cloth spending.…”

Section: Introductionmentioning

confidence: 99%

“…The application of RFID technology used in healthcare apparel management research can also save up to 30% of total cloth spending. In addition, RFID has also been used in research to ensure that patients' beds and mattresses can be cleaned properly with efficient time and cost, and can shorten work time [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Rule Based System for Medicine Inventory Control Using Radio Frequency Identification (RFID)

2018

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Abstract. Rule based system is very efficient to ensure stock of drug to remain available by utilizing Radio Frequency Identification (RFID) as input means automatically. This method can ensure the stock of drugs to remain available by analyzing the needs of drug users. The research data was the amount of drug usage in hospital for 1 year. The data was processed by using ABC classification to determine the drug with fast, medium and slow movement. In each classification result, rule based algorithm was given for determination of safety stock and Reorder Point (ROP). This research yielded safety stock and ROP values that vary depending on the class of each drug. Validation is done by comparing the calculation of safety stock and reorder point both manually and by system, then, it was found that the mean deviation value at safety stock was 0,03 and and ROP was 0,08.

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“…The human body has an inherent ability to naturally maximize physical processes without requiring the use of drugs which otherwise come with side effects. In low carbon building, the use of electronic instrumentation can facilitate performance so as to increase productivity in the industrial world [10,11].…”

Section: Introductionmentioning

confidence: 99%

A Model for Hypogalactia Treatment Using Electrical Acupoint to Increase Breast Milk Volume and Improve Prolactin Content

2018

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Hypogalactia is one of the problems for breastfeeding mothers that accounts for 63%. Nowadays, efforts have been done to prevent hypogalactia pharmacologically. However, this approach often comes with side effects for the mothers. This research proposes the implementation of non-pharmacological electrical acupoint method via activation of neurological, bio-mechanical, and psychological systems. It is aimed at proving the method's efficacy in improving breast milk volume and prolactin level. The model of electrical acupoint is carried out at 0. 5 watt frequency of scale 3 for 10 minutes at acupoints SI1, ST36 and SP6. Paired t-test statistical test was then conducted to differentiate the effects of electrical acupoint treatment on breastfeeding mothers. Results show significant differences (p<0. 05) after implementation of electrical acupoint. This significant difference is proven from the unpaired t-test which indicated different results of pre-and post-treatment. This means that electrical acupoint improves breast milk volume by an average of 70. 915 mL and prolactin level by around 313. 47 ng/Ml. It can then be inferred that the use of electrical acupoint readily handles the problem of hypogalactia.

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RFID Sensor for Automated Prediction of Reorder Point (ROP) Values in a Vendor Management Inventory (VMI) System Using Fuzzy Time Series

Cited by 11 publications

References 0 publications

Implementation Data Mining using Decision Tree Method-Algorithm C4.5 for Postpartum Depression Diagnosis

Implementation Data Mining using Decision Tree Method-Algorithm C4.5 for Postpartum Depression Diagnosis

Rule Based System for Medicine Inventory Control Using Radio Frequency Identification (RFID)

A Model for Hypogalactia Treatment Using Electrical Acupoint to Increase Breast Milk Volume and Improve Prolactin Content

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