Claim Missing Document
Check
Articles

Found 32 Documents
Search

MONITORING OF WATER TREATMENT PLANT EMPLOYING INTERNET OF THINGS Andrianto, Dian Andri; Marwanto, Arief Marwanto; Suryani, Suryani Alifah
Journal of Telematics and Informatics Vol 5, No 2: September 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v5i2.

Abstract

In water treatment process, highly temperature and humidity can lead to rapid evaporation, thus increasing uses of coagulants. It influence degree of acidity or pH. Therefore, it is necessary to monitor its conditions gradually. This work proposes a real-time monitoring of temperature, humidity and pH in the water treatment plant using internet of things. The system prototype was implemented using DHT22 and pH sensors to measure the physical conditions, Arduino UNO to process the data, ESP8266 to send the data into Internet Cloud Server over MQTT protocol. The prototype was measured in the plant comparing with the conventional instruments. The results show that error of temperature is 1.92%, humidity is 9.55%, and pH is 0.97% comparing with the conventional instruments. It is possible applying the prototype in the plant, but needs improving accuracy of humidity sensors.Keywords: Humidity, internet of things, pH, temperature, water treatment.
Penerapan Algoritma K-Nearest Neighbor (KNN) dalam Pembuatan Sistem Penentuan Topik Artikel Berbasis Web Nur Fatahna; Suryani Alifah; Sam Farisa Chaerul Haviana
TRANSISTOR Elektro dan Informatika Vol 2, No 1: 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.521 KB) | DOI: 10.30659/ei.2.1.%p

Abstract

Penelitian ini bertujuan untuk menerapkan algoritma K-Nearest Neighbor dalam pembuatan sistem penentuan topik artikel. Algoritma K-Nearest Neighbor merupakan salah satu metode berbasis NN yang paling tua dan populer di dalam melakukan pengkategorian teks. Dalam penentuan prediksi label kelas pada data uji ditentukan dengan nilai k yang menyatakan jumlah tetangga terdekat. Dari k tetangga terdekat yang terpilih dilakukan voting dengan memilih kelas yang jumlahnya paling banyak sebagai label kelas hasil prediksi pada data uji. Klasifikasi dianggap sebagai metode terbaik dalam preses ketika data latih yang berjarak paling dekat dengan objek. Cara kerja dari KNN perlu adanya penetuan inputan berupa data latih, data uji dan nilai k.
Rancang Bangun Sistem Informasi Survey Pemasaran dan Penjualan Berbasis Object Oriented Programming Suryadi Bahrun; Suryani Alifah; Sri Mulyono
TRANSISTOR Elektro dan Informatika Vol 2, No 2: 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.282 KB) | DOI: 10.30659/ei.2.2.%p

Abstract

Banyaknya organisasi, instansi dan invidu yang mencari data untuk kepentingannya masing-masing dengan berbagai macam cara. Salah satunya yaitu dengan melakukan survey kepada masyarakat yang menjadi sumber informasi agar data yang didapat bisa digunakan sesuai kebutuhan. Namun, cara yang digunakan saat ini masih sangat manual dan membutuhkan waktu yang cukup panjang sehingga membutuhkan biaya yang cukup besar. Dengan demikian pembuatan sistem informasi survei berbasis web bertujuan untuk dapat lebih mempermudah pelaku survei dalam melakukan pengumpulan data untuk digunakan dalam survei, dimana dalam sistem informasi ini memiliki tiga pilihan skala pengukuran yang dapat digunakan yaitu skala likert, skala guttman dan yang terakhir adalah rating scale, dimana dalam setiap skala tersebut memiliki kelebihan masing-masing. Sistem informasi survei berbasis web ini dibuat menggunakan framework codeigniter dimana dalam framework ini terdapat struktur berupa model, view dan controller (mvc) dimana dalam peroses permodelannya menggunakan OOP (object oriented programing). Sistem telah di implementasikan menggunakan bahasa pemrograman PHP dan telah dilakukan pengujian fungsional menggunakan metode pengujian BLACK BOX dimana hasil dalam pengujian tersebut sesuai dengan harapan dan tidak terjadi kesalahan dalam peroses pengoprasian aplikasi. Sehingga sistem informasi ini menjadi tempat bagi pelaku survei yang ingin melakukan survei dengan cara yang lebuh mudah dan cepat, serta sistem informasi ini memberikan masil yang mudah untuk dipahami bagi masyarakat yang menggunakan.
Design of Distributed Generation with A Hybrid System in Karimunjawa Island Gunawan Gunawan; Suryani Alifah; Moh. Arif Raziqy
International Journal of Applied Power Engineering (IJAPE) Vol 4, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.743 KB) | DOI: 10.11591/ijape.v4.i3.pp96-103

Abstract

The current condition, in Karimunjawa Island, is supplied by diesel power with a total power output of 400kW. The number of households in this island is 1545, while the number of electricity customers as many as 850 homes with the local electrification ratio of 55%. With such high load electrification, the generator is only operated from 05.00pm-06.00pm every day to limit the operating costs. Methodology used was the determination of the size of the PV generator capacity based on the percentage of daily generation. The selection of conversion technology with hybrid concept synergizes photovoltaic to be combined with diesel. Loading simulations are performed with HOMER application that provides a variety of features on a variety of configurations and scenarios designed.The first scenario is in the form of giving additional capacity by using the power of 100kW of PV system and at peak load by adding the duration of the day with 5 hours, it is obtained the production of PV of 800kWh/day with the selling price of $ 3,900;/kWh. The second scenario is in the form of giving additional capacity by using the power of 100kW of PV system at noon for 10 hours and during peak load, it gains total value production of PV with1400kWh/day and distributed to system with a selling price of Rp 3,867/kWh.
Application of HOG Algorithm for Automated Room Control System Nurris Dwi Setiyawan; Suryani Alifah; Bustanul Arifin
Journal of Telematics and Informatics Vol 5, No 1: March 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (676.046 KB) | DOI: 10.12928/jti.v5i1.

Abstract

This study aims to develop a prototype of automated room control systems. The histograms of oriented gradients (HOG) algorithm is used to detect and count the people entering or coming out the room so that the use of electricity is more appropriate. The raspberry Pi microprocessor is used as a controller since it is efficient and can be expanded for monitoring over the web. The system testings show that the prototype can detect and count the number of incoming and outgoing people enough accurately with error rate of about 1.7%, while people entering or coming out the room not simultaneously, but can not detect and count accurately with error rate of about 43.3%, while two person walk close together through the door. Using the automated room control, the electronic equipments will be active when there are people in the room and the  temperature below 200C.
COAL DUST CONTROLLER ON INDRAMAYU POWER PLANTS CONVEYOR LANE BASED IOT Reza Yoga Diputra; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 6, No 1: March 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.103 KB) | DOI: 10.12928/jti.v6i1.

Abstract

The coal is combustion fuel of power plant which is located in Indramayu West Java. Power plant has produce coal dust during combustion process. Moreover, the residu of coal dust has potentially self combustion which damage or could explosived arround the environment. To addressing this situation, detection and controlling combustion dust is needed. To avoid this situation, a prototype devices which able to control combustion dust is proposed. The prototype has comprises of processing signal which controlling by Arduino microcontroller and sensed by MQ2 sensor for flammable gas and MQ135 for CO2 sensor, and Sharp GP2Y1010AU0F for dust sensor.These sensor are detected combustion dust, if the level more than set level then springkle will spray the water. The reading point value of sensors transmitted on to thingspeak IoT could server, which of sensor are consist of methane, gas, CO2, and dust. These value has monitored and able to conduct for controlling the combustion dust. The evaluation shows that the value of sensors are able to delivered as well and the relay as able to activated whenever level of combustion is above.
GREEDY ALGORITHM IN GREEDY REDUCTION EDUCATION GAME BASED ON ANDROID PLATFORM Bagus Satrio Waluyo Poetro; Nurul Hidayah; Suryani Alifah
Journal of Telematics and Informatics Vol 6, No 1: March 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.289 KB) | DOI: 10.12928/jti.v6i1.

Abstract

The greedy algorithm is one of the simplest algorithms to solve the optimization problem. The greedy algorithm is able to solve the problem quickly. Greedy Reduction game is a game of mathematical reduction that uses the theory of greedy algorithm in the process of determining the player's victory in playing the game. Players who play this game have to answer the problem by solving the reduction operation with subtracting the number by selecting available numbers on the game, until it reaches the specified number of questions. Players will either win the game or produce a serial number if the numbers the player chooses to subtract fewer numbers from the numbers used by greedy. Tests conducted on this research is to use black box testing method. Based on the tests performed, greedy algorithm can be applied in solving the existing problems in Greedy Reduction game.
CONTROL OF AIR COOLING SYSTEM BASED ON FUZZY LOGIC S Sukiran; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 6, No 1: March 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.241 KB) | DOI: 10.12928/jti.v6i1.

Abstract

A comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed.comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed.
Telemetry Temperature Measurement Based on FM Radio Frequency Sutarta Tarta; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 7, No 2: JUNE 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i2.

Abstract

Telemetry systems have been widely used in industrial machines to continuously monitor movement and data from industrial machinery. However, obstacles occured in areas that have not been reached by cellular or internet signals such as mining areas and oil palm plantations. One machine that requires continuous attention is the Genset engine or power plant. Howevwr, the officers had to be placedon that site or are not effectively. Therefore it is necessary to make remote monitoring and control to determine the condition of the generator, especially the generator temperature, because of the temperature indicator can be known the performance and efficiency of the generator. The information of generator indicates the performance of generator, such as temperature and fuel comsumtion. A monotoring should done remotaly wheneverrural areas are further away from the head master offices. Real time monitoring proposed where able to change and control generator. FM transceiver used to addressing the limitation of protocil communication or rural areas since the GSM signals and internet are not coveraged that areas. Half duplex protocol communication is proposed to manage data exchange between Tx and Rx. The result show that protocol work performing during data transmision in simulation mode, however data lossed at 515 meters due to small power trancmitter is used.
Vital Sign Monitoring in ICU Patients Based on MEWS (Modified Early Warning Score) with IOT (Internet of Things) Agus Sukarno; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

Vital signs are signs that show important functions of the human body, from these signs can be known whether a person is relatively healthy, has a serious illness, or suffers from a life-threatening disorder. Vital signs are the value of physiological functions consisting of blood pressure, temperature, oxygen saturation, pulse and respiratory rate. Vital sign monitoring tools researchers used four parameters, namely blood preasure, heart rate, oxygen saturation, and body temperature. The tool uses the IoT (Internet of Things) system, where this tool uses sensors used, namely the DS18B20 temperature sensor, the Heart Rate sensor and the SPO2 MAX 30100 sensor, the OMRON HME-7130 sensor, the ESP 32 microcontroller as a data processor and Wi-Fi connection. The patient's vital condition data will be displayed on the android smartphone and on the mydevices.com WEB page. This tool is rule-based with a Modified Early Warning Score (MEWS) system to determine the status of patients and assist medical personnel in monitoring the vital parameters of patient signs in real time at each location and responding quickly and precisely so as to improve the quality of life of patients. Comparison using patient monitor tools, body temperature measurements produce the highest and lowest percentage of error that is 0.19% and 0.08% with an average temperature of 36.06ºC and 35.96ºC, then heart rate measurements obtained the highest and lowest percentage of errors of 0.08% and 0.3% with an average heart rate of 74 bpm and 87.3. Then the measurement of SpO2 obtained the highest and lowest percentage of error of 1% and 0% with an average SpO2 of 97% and 97.3%, then the NIBP measurement obtained the highest and lowest percentage of error systole / diastole of 7.4% / 7.2% with NIBP with an average systole / diastole of 109.6 / 64 mmHg and the lowest error percentage is 0.3% / 1.1% with an average NIBP of 125 / 62.3 mmHg. Data transmission to the internet using the cayene application on Android smartphones and WEB is greatly influenced by the quality of the connection from the internet network.   Key words: Vital Signs, Modified Early Warning Score (MEWS), DS18B20, MAX 30100, ESP32 Microcontroller, IoT.