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Journal : Jurnal Komputasi

Aplikasi Monitoring Penderita Kardiovaskular dan Obesitas Berbasis Mobile Internet of Things (MIoT) Muhamad Bahrul Ulum; Nizirwan Anwar; Riya Widayanti; Alivia Yulfitri; Hendra Bratanata
Jurnal Komputasi Vol 8, No 2 (2020)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i2.2648

Abstract

According to the World Health Organization (WHO), coronary heart disease is the biggest cause of death in Indonesia. In 2016, the death rate from heart disease was 122 people per 100,000 population. This figure is higher than other causes, such as stroke, tuberculosis, and diabetes. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, unhealthy diet, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the mobile internet of things (MIoT) approach. Using the ESP8266 Wifi module for communication to the database server and heart rate sensor to detect heart rate then convert it to Bit per Minute (BPM). Every patient with cardiovascular disease can be monitored using a sensor connected to a smartphone to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a aplication heart rate monitoring for patients with cardiovascular for healthcare services.
Aplikasi DonasiKu Berbasis Android Muhamad Bahrul Ulum; Habibullah Akbar; Anik Hanifatul Azizah
Jurnal Komputasi Vol 10, No 1 (2022)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v10i1.2933

Abstract

Used goods suitable for use are old goods that have been used once or more than once and are still reasonable to be reused. Most of these used goods are no longer used because they already have other, better substitutes. The current management system for these items is usually only collected and stored in the warehouse or even many are left scattered in the corner of the house until the items become a pile. Rather than being left alone, it is better to reuse these items. For example, by donating items that are still reasonable to be reused to people who need it more. Donations in the form of used goods are still poorly managed, information on donation activities that are held is less spread out and if there is, it is not necessarily reliable. So far, the management of the existing donation system is only for donations in the form of money, so the idea of a solution emerged in the form of developing an Android-based donation system application. To analyze the problem used causal analysis based on the data to be collected. The method used for software development is extreme programming. This application can be a solution to the problem of managing the used goods donation system so that people can make donations in the form of goods that are faster, easier to collect and distribute.
Perancangan Sistem Monitoring Detak Jantung Bagi Penderita Kardiovaskular Berbasis Internet of Things Muhamad Bahrul Ulum; Masmur Tarigan
Jurnal Komputasi Vol 8, No 1 (2020)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2419

Abstract

The form of an archipelago and densely populated country of Indonesia has its own constraints in efforts to deal with health, especially health for patients with cardiovascular disease. This disease is one of the highest causes of death in Indonesia. Based on data from the Ministry of Health, cardiovascular disease since 2007 is the highest cause of death in Indonesia with more than 220,000 deaths each year. While the number of cases exceeds tuberculosis, which has a death toll of 127,000. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, high-fat diets, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the internet of things (IoT) approach. Every patient with cardiovascular disease can be monitored using a sensor connected to a PC to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a prototype heart rate monitoring system for patients with cardiovascular. The patient's health can be monitored at any time by the hospital doctor without the patient having to come regularly to the hospital.
IMPLEMENTASI METODE FUZZY LOGIC PADA SISTEM PAKAR PENDETEKSI KECERDASAN ANAK Devira Asha; Muhamad Bahrul Ulum; Yuli Asmi Rozali
Jurnal Komputasi Vol 9, No 2 (2021)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2861

Abstract

The multiple intelligences proposed by Dr. Howard Gardner in his book entitled Frame of Mind states that every child has unique and different characteristics and does not only focus on one intelligence. Parents who don't know how to improve their children's intelligence from all categories of intelligence, and only focus on language and logic intelligence, are considered as intelligent benchmarks for children. This expert system application aims to facilitate parents in knowing the level of intelligence of children so that children get the opportunity to develop at least from various dimensions such as musical, kinesthetic, intra and interpersonal, etc. This study applies calculations using the Mamdani fuzzy logic method. The results of this study are able to identify children's intelligence by designing a fuzzy expert system where input variables and output variables are generated from interviews with experts who produce 45 input variables and 9 outputs. For example, the calculation in this study uses 5 input variables and 1 output variable with the number of rules generated, namely 243 rules. The results obtained from the manual calculation of the fuzzy logic method are 50.68 with a fairly intelligent level of medium level. The system development method used in this research is the extreme programming method with the Laravel framework. This website-based expert system application is also a place for information on multiple intelligences where this information will be useful to find out how to improve children's intelligence from all categories of intelligence.