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An Analysis of Effect GSM Signal Type on Android-Based Vehicle Injector Response Time Mira Esculenta Martawati; Fatkhur Rohman; Sugeng Hadi Susilo; Bagus Dwi Cahyo
International Journal on Advanced Science, Education, and Religion Vol 5 No 1 (2022): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1749.745 KB) | DOI: 10.33648/ijoaser.v5i1.175

Abstract

The crime of motor vehicle theft is increasing, the automotive industry continues to develop security systems to reduce the number of thefts that occur in Indonesia through the development of sophisticated features. The addition of a global positioning system (GPS) feature on a vehicle is an alternative to supporting a security system by providing vehicle location information when theft occurs. GPS provides location information by providing microcontroller input data. GPS on the vehicle becomes very important because with the GPS module the vehicle can be found by knowing an accurate location. However, the addition of a GPS module is often difficult to find because the distance changes frequently and it takes a long time to find it. The purpose of this paper is to detect vehicle position accurately using GPS U-Blox NEO 6M and to analyze the effect of GSM signal type on the response time of long-distance vehicle injectors based on android. The research method is data analysis to make conclusions, namely the two-way factor quantitative experimental method. The independent variables used are (1) different signal types, and (2) the distance from the signal source to the gasoline engine injector response time. The conclusion obtained is that vehicle position detection using GPS U-Blox NEO 6M is accurate with the results of data analysis shifting 8.3113 meters and the interaction between distance and GSM signal types has no significant effect with the results of data analysis from the three types of Telkomsel GSM signals which are the fastest with a distance of 200 meters from the signal source with a response time of 4.956 seconds and the slowest is XL at a distance of 500 meters from the signal source with a response time of 8.5 seconds. Keywords: Android-Based Vehicle Injector, GSM Signal Type, Vehicle Injector
An Analysis of Effect GSM Signal Type on Android-Based Vehicle Injector Response Time Mira Esculenta Martawati; Fatkhur Rohman; Sugeng Hadi Susilo; Bagus Dwi Cahyo
International Journal on Advanced Science, Education, and Religion Vol 5 No 1 (2022): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1749.745 KB) | DOI: 10.33648/ijoaser.v5i1.175

Abstract

The crime of motor vehicle theft is increasing, the automotive industry continues to develop security systems to reduce the number of thefts that occur in Indonesia through the development of sophisticated features. The addition of a global positioning system (GPS) feature on a vehicle is an alternative to supporting a security system by providing vehicle location information when theft occurs. GPS provides location information by providing microcontroller input data. GPS on the vehicle becomes very important because with the GPS module the vehicle can be found by knowing an accurate location. However, the addition of a GPS module is often difficult to find because the distance changes frequently and it takes a long time to find it. The purpose of this paper is to detect vehicle position accurately using GPS U-Blox NEO 6M and to analyze the effect of GSM signal type on the response time of long-distance vehicle injectors based on android. The research method is data analysis to make conclusions, namely the two-way factor quantitative experimental method. The independent variables used are (1) different signal types, and (2) the distance from the signal source to the gasoline engine injector response time. The conclusion obtained is that vehicle position detection using GPS U-Blox NEO 6M is accurate with the results of data analysis shifting 8.3113 meters and the interaction between distance and GSM signal types has no significant effect with the results of data analysis from the three types of Telkomsel GSM signals which are the fastest with a distance of 200 meters from the signal source with a response time of 4.956 seconds and the slowest is XL at a distance of 500 meters from the signal source with a response time of 8.5 seconds. Keywords: Android-Based Vehicle Injector, GSM Signal Type, Vehicle Injector
An Analysis of Effect GSM Signal Type on Android-Based Vehicle Injector Response Time Mira Esculenta Martawati; Fatkhur Rohman; Sugeng Hadi Susilo; Bagus Dwi Cahyo
International Journal on Advanced Science, Education, and Religion Vol 5 No 1 (2022): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v5i1.175

Abstract

The crime of motor vehicle theft is increasing, the automotive industry continues to develop security systems to reduce the number of thefts that occur in Indonesia through the development of sophisticated features. The addition of a global positioning system (GPS) feature on a vehicle is an alternative to supporting a security system by providing vehicle location information when theft occurs. GPS provides location information by providing microcontroller input data. GPS on the vehicle becomes very important because with the GPS module the vehicle can be found by knowing an accurate location. However, the addition of a GPS module is often difficult to find because the distance changes frequently and it takes a long time to find it. The purpose of this paper is to detect vehicle position accurately using GPS U-Blox NEO 6M and to analyze the effect of GSM signal type on the response time of long-distance vehicle injectors based on android. The research method is data analysis to make conclusions, namely the two-way factor quantitative experimental method. The independent variables used are (1) different signal types, and (2) the distance from the signal source to the gasoline engine injector response time. The conclusion obtained is that vehicle position detection using GPS U-Blox NEO 6M is accurate with the results of data analysis shifting 8.3113 meters and the interaction between distance and GSM signal types has no significant effect with the results of data analysis from the three types of Telkomsel GSM signals which are the fastest with a distance of 200 meters from the signal source with a response time of 4.956 seconds and the slowest is XL at a distance of 500 meters from the signal source with a response time of 8.5 seconds. Keywords: Android-Based Vehicle Injector, GSM Signal Type, Vehicle Injector
Penyuluhan dan Pemeriksaan Penyakit Diabetes di Desa Mulyoagung-dau Kabupaten Malang Sugeng Hadi Susilo; Umi Anis Ro’isatin; Agus Setiawan; Zahratul Jannah; Samsul Hadi
Bulletin of Community Engagement Vol 1 No 1 (2021): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (930.605 KB) | DOI: 10.51278/bce.v1i1.103

Abstract

The problem in community service that will be carried out is how to provide health education, especially for diabetes, acid and cholesterol to the community. The purpose of this idea or idea is to provide counseling and public health checks in Mulyoagung Village, Dau District. Malang especially RT 01 RW 03. In this service activity uses the following methods: 1. Coordinating with prospective participants of health education and examination. 2. Preparing counseling materials, health checks and designing activities. 3. Carry out counseling and health checks. 4. Evaluating counseling and health checks. 5. Observing counseling and health checks. Keywords: Counseling, Examination Diabetes, Health Education.
Exploring the Potential of Ramie Fiber Composites as Eco-friendly Materials for Medical Prostheses Ramadhana Luhur Prabangkara; Sugeng Hadi Susilo
Asian Journal Science and Engineering Vol 2 No 1 (2023): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v2i1.677

Abstract

The insect Callosobruchus maculatus, is responsible for serious damages in the storage of grains of diverse cultures, among them, the one of the beans. Therefore the development of substances capable of being an alternative to minimize agricultural losses and thus contribute to food security of the population is a current necessity.This research aims to explore new materials derived from natural fibers for the development of environmentally friendly and recyclable medical devices, particularly prostheses. The focus is on utilizing ramie fiber, a natural fiber, as a substitute for artificial fibers and plastics in composite materials. The study investigates the impact and bending strength of ramie fiber composites by varying the volume fraction and fiber orientation. The experimental design involves three volume fractions (1%, 3%, and 5%) and three fiber orientations (10°, 20°, and 30°). Hand lay-up method is employed on molds, ASTM D256 impact tests and ASTM D7264 bending tests are conducted to assess the mechanical properties. The findings indicate that the ramie fiber composite with a volume fraction of 5% and fiber orientation of 30° exhibits the highest bending strength, measuring 471.1 Mpa. Similarly, this composition demonstrates the highest impact strength value of 26,558,720 Pa. Overall, this research contributes to the advancement of sustainable materials for medical prostheses and highlights the significance of optimizing the composition of ramie fiber composites to enhance their mechanical properties. Keywords: Ramie Fiber, Composite Materials, Medical Prostheses