Garuda - Garba Rujukan Digital

PERANCANGAN ALAT PENDETEKSI CO2 MENGGUNAKAN SENSOR MQ-2 BERBASIS INTERNET OF THING Amsar Amsar; Khairuman Khairuman; Marlina Marlina
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 4 No. 1 (2020): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Salah satu gas yang sangat berbahaya bagi kesehatan manusia adalah Gas CO2, untuk mengetahui kadar di tempat tertentu mengandung CO2 tanpa menggunakan alat bantu pendeteksi akan sulit dilakukan, karena Gas CO2 tersebut merupakan zat yang tidak dapat dilihat langsung oleh mata manusia, maka dalam penelitian ini dirancang sebuah alat pendeteksi CO2 yang dapat memberikan notifikasi kadar CO2 ke telegram berbasis Internet Of Things (IOT). Dalam peneltian ini alat yang digunakan untuk pengukuran kadar CO2 dengan menggunakan sensor MQ-2 untuk mendeteksi kadar dari karbon dioksida, sehingga kadar CO2 yang terdeteksi oleh sensor selanjutnya dikirim melalui jaringan IOT berbasis notifikasi via telegram, notifikasi pada telegram sebagai media pemberi inforamsi pada alat yang dibangun ini dengan lima kategori yaitu: baik, sedang, tidak sehat, sangat tidak sehat dan berbahaya, adapun hasil dari rentang diperoleh jika sensor MQ-2 mendeteksi karbon dioksida dengan rentang 0-50 ppm, maka kondisi udara baik, apabila sensor mendeteksi karbondioksida dengan rentang 51-100 ppm, maka kondisi udara sedang, apabila sensor mendeteksi karbondioksida dengan rentang 101-199 ppm, maka kondisi udara tidak sehat, apabila sensor mendeteksi karbondioksida dengan rentang 200-299 ppm, maka kondisi udara sangat tidak sehat, dan apabila sensor mendeteksi karbondioksida dengan rentang 300 ppm, maka notifikasi ke telegram berbahaya.

Seleksi Beasiswa Untuk Perguruan Tinggi Berdasarkan Pendekatan Keputusan Berkeadilan dengan Fuzzy Mamdani Amsar Amsar; Rizal Munadi; Ramzi Adriman
Jurnal Inotera Vol. 2 No. 2 (2017): July-December 2017
Publisher : LPPM Politeknik Aceh Selatan

The scholarship is one of the funding schemes of study in an education system. Various models and names of scholarship schemes are offered on terms that have been determined by the scholarship provider. The essence of these conditions is the trust and confidence of the funders of the scholarship recipients and is projected to complete the study period as per the allocated funds. In general, funders are very concerned about the issue of academic qualification as one of the main indicators. However, for prospective students who wish to pursue higher education from coming from orphaned families and from less financially qualified families, with good academic qualifications, not yet a parameter in the selection process of scholarship recipients. Based on this fact, this problem would like to find solution in this research and submitted the selection model of scholarship with fair decision approach. This study aims to design a fair decision-making system as a tool for selection of scholarship recipients that prioritize the values of justice by prioritizing scholarship recipients from among orphans and poor. This research proposes two methods: Fuzzy Mamdani and weighting method, with 4 input parameters which are used as variables: children status and economic level, residence condition, children achievement and family dependent. Simulation testing performed by considering the parameters set is a more effective and efficient decision model for the prospective scholarship recipients. To obtain a competent recipient, then the screening process by ranking to be declared passed the selection and received as the recipient of scholarship in accordance with the number of quotas provided. This selection model becomes an alternative and provides opportunities for orphans and the poor to continue higher education and improve the human resource index as well as meet national education goals.

Optimization Of Server Computer Security Using The Port Knoking Method On Ubuntu Server 12.04 LTS Amsar Yunan
Jurnal Inotera Vol. 5 No. 1 (2020): January-June 2020
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol5.Iss1.2020.ID96

Each online based server cannot be fully secured from various external attacks that attempt to infiltrate the system. Server security is the most important part for administrators against intruders who carry out their actions in attacking computer systems, there are several attack methods that can be done, method like brute-force are usually deployed to attack computer security systems that are connected to the internet. In this study to overcome attacks penetrating into the server system, the port knoking method can be used as a step taken to prevent attacks that enter the system or also known as the authentication method. By using this port knoking method the administrator can control the system to be more secure from brute-force attackers addressed in certain parts such as SSH server and FTP server. So that users can perform services connected with SSH server and FTP server services, knocked functions as a port knocking daemon that is ready to receive port knocking authentication from the user then rewrites the firewall, so that the connected services can be secured from attacks that try to infiltrate the server system. Furthermore, Ip tables and uncomplicated firewalls function to build firewalls that will deny connections to the SSH server and FTP server services. So when a foreign user accesses SSH and FPT without first doing the autendiction, the firewall will reject the connection, but if the user passes the port knocking autendiction stage via sending SYN packets to the port provided in the knocking daemon port, then the knocking daemon port is will rewrite the firewall so users can connect to the SSH server and FPT server services.

Klasifikasi Mobil berjalan dan Pejalan Kaki untuk Penggunaan Automatic Incident Detection Sebagai Upaya Pengurangan Resiko Kecelakaan di Jalan Raya Herry Setiawan; Amsar Yunan
Jurnal Inotera Vol. 5 No. 1 (2020): January-June 2020
Publisher : LPPM Politeknik Aceh Selatan

Traffic problems become very important to minimize the number of accidents. Recorded in 2017, the death toll from accidents reached 703 people. While in 2018 503 people died or fell by 28%. This figure is considered to be the third largest killer, under coronary heart disease and tuberculosis / tuberculosis. Among several causes of accidents such as against the flow of traffic, stops on the road, pedestrians and speeds that are too low compared to other vehicles. Even though the traffic signs are already installed. The low level of awareness of road users will increase the number of accidents. A detection system for potential accidents is needed to reduce the risk and can be used for the investigation process if an accident occurs. The application of a traffic accident prediction system will be a solution to provide a warning of potential accidents. Early detection of incidents is very important to limit consequences such as delays for other road users, lower costs, less time commitment to emergency services, as well as to prevent accidents. Video processing obtained from CCTV installed at intersections, highways, bridges and tunnels will detect pedestrians and oncoming cars automatically. Detection is done by processing each video frame to determine the foreground by the Gaussian mixture models method of each video frame.

Developing the Students' Reading Comprehension through Interactive Approaches by Using Short Stories (An Experimental Research at South Aceh Polytechnic) Hasbaini; Amsar Yunan; Asmaidi
Jurnal Inotera Vol. 5 No. 2 (2020): July - December 2020
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol5.Iss2.2020.ID115

This research was conducted to see the effectiveness of using short stories in teaching reading comprehension. The teaching model was used an interactive approach to be developed the reading skills of second semester students at the Department of Computer Engineering, South Aceh Polytechnic. The reading ability of students was explored and to be found the right teaching model, then the aspects of the ability to be seen was understanding the meaning of words, sentence intentions, information, problems, opinions, recommendations, sentence structure, analysis and communication and student responses after the application of the teaching model in the classroom. After treatment, there was an increase in students' reading comprehension skills especially in the experimental class after using short story teaching materials with interactive approach teaching models to obtain an average value of pre-test = 55, and post-test = 77.67. Whereas in the control class only got a pre-test value = 49,64 and post-test = 67,86. Then there was a significant difference in the scores of the two classes in the post-test scores (77,67-67,86) namely 9,81. Meanwhile, from questionnaire data, 87% of students responded very well and the remaining 13% responded well to the use of short stories with interactive approach teaching models. As well as answering enough options and less as much as 0%. From the responded above, which has helped develop student confidence, collaboration, self-ability and group work. Of course this research was far from perfection and needs to be improved in the future with other teaching methods, while still providing motivation to students to continue to be improved their learning, especially reading skills. So from the results of this simple study it can be recommended that, the use of short stories in teaching comprehension reading with interactive approach models got a significant increase in students' ability in reading comprehension than conventional learning models.

Study and Implementation of the Fuzzy Mamdani and Sugeno Methods in Decision Making on Selection of Outstanding Students at the South Aceh Polytechnic Amsar Yunan; Muhammad Ali
Jurnal Inotera Vol. 5 No. 2 (2020): July - December 2020
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol5.Iss2.2020.ID127

The selection of students who excel academically is a measure of the quality of education in an educational institution. In the implementation of education, student achievement becomes a measure of the success of education at the institution. Achievement is the result of hard work by following the rules given by a certain person or institution with certain criteria and conditions to determine if someone is eligible to be chosen as an award recipient. This research uses the Mamdani Fuzzy method or Fuzzy inference system and Sugeno Fuzzy, to design this decision-making system is to design the decision results from the rules compiled using Matlab software for testing. The South Aceh Polytechnic holds outstanding student elections every year, the selection of students with achievements that are carried out every year only focuses on the GPA value in academic achievement without looking at the determining factors which are more precise. In the research that will be conducted the selection must meet the eligibility criteria as a student who gets an award or as an outstanding student at the South Aceh Polytechnic involving variables in the form of Cumulative Achievement Index, Final Project value, Extracurricular, and Attendance. Research is expected to be a tool in the selection process for candidate participants who compete in the selection of outstanding students at the South Aceh Polytechnic so that relevant departments in universities can determine the eligibility of prospective students as award recipients as students with the best achievement scores by considering the appropriate determining factors. The expected output using the Mamdani and Sugeno fuzzy method can become an intellectual property system so that this system can be selected as a guideline by the South Aceh Polytechnic academic for determining outstanding students. The results of the research that have been obtained show that the level of truth is 86.82% for the Mamdani method while the implementation of Sugeno Fuzzy logic is obtained a level of truth of 71.88%

Bahasa Inggris Amsar Yunan; Sepri Kurniadi
Jurnal Inotera Vol. 6 No. 2 (2021): July-December 2021
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol6.Iss2.2021.ID151

The agricultural sector plays an important role in a developing country that covers all economic life because it can become the main source of national income. Efforts that must be avoided are to avoid crop failure, one of the things that cause crop failure is that there is no match with the right planting period at the time of planting. So the purpose of this research is to build a decision-making system in the form of a system for determining planting time based on the traditional Aceh farming system. The process developed with information technology in the decision-making method using Mamdani fuzzy logic based on the Graphic User Interface by involving several criteria including the calculation of the month in the Hijri year, the calculation of days, the calculation of the time of planting, and the level of rainfall. So that when starting the process of planting rice traditionally, farmers with this system can choose the best time to grow crops in rice farming. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%.

Teknik Penyiraman Tanaman Menggunakan Mikrokontroler Berbasis Internet of Things Amsar Yunan; Safriati Safriati; Hermalinda Hermalinda
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Watering plants is an activity carried out so that the results of plants that are treated to grow well and avoid the water content needed by these plants. Technological developments encourage someone to use a plant watering system that is carried out using the right technology to avoid water content or soil moisture on plants. Moisture content and adjustment to soil contours also make maintenance difficult, because plants have different requirements for water content and humidity for each type of plant. The hollow structure of the soil is also a good place for roots to breathe and plants. Soil is also a habitat for various microorganisms. The purpose of this design is to make it expected that this tool can facilitate plant care in areas that have been planted with sensors that detect soil moisture levels. Watering plants that are still manual becomes plants that are not properly maintained because of the busy time of activity, or types of plants that have special attention both in terms of places that must be cool and water needs that must still be met. The humidity sensor will read the state of dry or wet soil moisture and inform the results of the sensor readings to telegram. The result of the notification sent in the form of this information, the user can find out the state of the plants displayed in his telegram. The test results obtained, it is known that the tool can work according to the needs and specifications. The tool is able to read the moisture content expressed in the dryness of water in the soil and sends the moisture value to a telegram where the pump will water the plants if the soil moisture is below 65% and the pump will turn off if the soil moisture is > 66%.

Prototype of IoT-Based Fruit Alcohol Level Measurement Tool Nursila Nursila; Dirja Nur Ilham; Amsar Yunan; Muhammad Khoiruddin Harahap; Rudi Arif Candra
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

The effect of alcohol on health is very large if you consume too much, and the fact that excessive alcohol levels can interfere with digestion can cause eye function disorders, decreased brain and nerve function as well as cancer. Knowing the alcohol content in fruits that are suitable for consumption by the body from an early age is very important. Based on this problem, this study aims to create a prototype measuring instrument for the alcohol content of fruits using the Blynk application. This circuit consists of 3 circuits, namely the input part in the form of an Mq3 sensor, the control part in the form of Nodemcu, and the output port in the form of the Blynk application. From the results of testing tools for four samples including durian, grapes, papaya, and apples for 25 times the test of the fruit is peeled for the next 2 hours the average percentage of durian alcohol content is 28.57%, grapes are 12.68%, papaya is 5.79 %, and apples by 18.6%. In this study, there is also the notification facility to the third smartphone that the alcohol content exceeds the alcohol content which is not good from the value set on the device.

Design and Build a Soil Nutrient Measurement Tool for Citrus Plants Using NPK Soil Sensors Based on the Internet of Things Haristian Pratama; Amsar Yunan; Rudi Arif Candra
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : ITScience (Information Technology and Science)

A suitable planting medium is a medium of good quality soil that can support plant growth quickly. Fertile soil is the primary need for plants. The quality of the planting medium dramatically affects plant growth. The types of soil needed for plant growth vary, namely sandy soil, red soil, alluvial soil, and humus soil. Using an NPK sensor that functions to detect nutrients in the soil and can work if the tip of the sensor is plugged into the soil they want to detect, the results detected by the sensor will be sent in the form of analog signal data to nodemcu, which will be processed and displayed on the screen. Thingspeak. This tool is controlled by nodemcu with an NPK sensor to detect nutrients in the soil with output to thingspeak. The function of the NPK sensor tool will measure the nutrients in the soil for citrus seedlings, and the results read by the Npk sensor will be sent to the Thingspeak web, making it easier for farmers to seed citrus seeds. The data read by the sensor will be sent to thingspeak, making it easier to monitor nutrients in the soil. From the results of the tests carried out, it is found that the nutrient content in wet soil is higher than in dry soil; from the tests carried out, the NPK sensor accuracy rate is 90%.

Title

Found 12 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 12 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 12 Documents
Search