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Dashboard Monitoring Renstra Dan Renop Jurusan Teknik Elektro Politeknik Negeri Semarang Ningsih, Maharani Prastuti; Rahardjo, Parsumo; Nugroho, Ari Sriyanto
JTET (Jurnal Teknik Elektro Terapan) Vol 6, No 2: (Agustus 2017)
Publisher : Teknik Elektro - Politeknik Negeri Semarang

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Abstract

Each department at the Polytechnic of Semarang has a Strategic Plan (Plan) and the Operational Plan (RENOP) to manage and monitor the progress of each department. One department is the Department of Electrical Engineering. In pengeleloaan strategic planning and RENOP done through an information system that is equipped with a Dashboard. Dashboard is intended to help the Department of Electrical Engineering in order to more easily in monitoring targets and achievements in strategic planning and RENOP. Dashboard development is done using the waterfall method (waterfall), starting from analysis, design, writing code, testing and maintenance. This application uses a client-server architecture. The system comes with features designed to simplify the user in seeing how the development of each unit. Users will be facilitated in terms of readability of data and given an attractive appearance so that they can easily understand what is in the data. Testing the system using the method of testing each unit function of each feature. The results of this research is an information system that can help the department head, the department secretary, and the chairman of the study program in monitoring the Strategic Plan and RENOP. Meanwhile, user satisfaction test Dashboard Monitoring and Strategic Planning Department of Electrical Engineering RENOP conducted by filling the questionnaire obtained results of 81.2%, which means that the users were satisfied with the application of Strategic Planning and Monitoring Dashboard RENOP Department of Electrical Engineering.Keywords: client-server, dashboard, waterfall
Rancang Bangun Kontrol Industri Berbasis Wireless Networked Control System (WNCS) Menggunakan Arduino Ari Sriyanto Nugroho; Wahyu Sulistyo; Thomas Agung Setyawan
Bangun Rekaprima Vol 3, No 1 (2017): April 2017
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.433 KB) | DOI: 10.32497/bangunrekaprima.v3i1.759

Abstract

Integrasi dan konvergensi komunikasi, komputasi, dan kontrol selama dekade terakhir telah mengilhami para peneliti dan praktisi dari berbagai disiplin ilmu  untuk tertarik di bidang  Wireless Networked Control System (WNCS). Secara umum, WNCS terdiri dari sensor, actuator, dan pengendali operasi yang didistribusikan di lokasi geografis yang berbeda dan dikoordinasikan dengan  informasi yang dipertukarkan melalui jaringan komunikasi. Penggunaan Internet telah menjadi salah satu kekuatan pendorong utama untuk penelitian dan pengembangan WNCS. Penelitian ini bertujuan membuat model dan merancang kontrol industri berbasis wireless networked control system (WNCS) menggunakan arduino. Metode yang dilakukan dalam penelitian ini adalah membuat rancangan model kemudian diimplementasikan dalam prototipe. Selanjutnya prototipe terbut diuji fungsionalitasnya. Model yang dirancang menggunakan jaringan Ethernet sebagai protokol akses untuk medium pembawa. Protokol aplikasi yang digunakan adalah HTTP yang berjalan di atas protocol TCP/IP. Berdasarkan hasil penelitian, didapatkan hasil bahwa model yang dirancang berhasil diimplementasikan dan berfungsi sesuai dengan yang diharapkan.Kata kunci: Wireless Networked Control System (WNCS), Kontrol Industri, Arduino
Comparison of Energy Consumption of Wireless Sensor Network at Various Topology Deployment: Array, Grid, and Random Ari Sriyanto Nugroho; Ipang Prasojo
JAICT Vol 1, No 1 (2016)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1581.419 KB) | DOI: 10.32497/jaict.v1i1.426

Abstract

This paper is review wireless sensor network and it’s energy consumption at different deployment methods. Wireless Sensor Networks (WSN) are emerging with many applications, because of the advances in large scale wireless communications. These networks are deployed to serve single objective application, with high optimization requirements such as power saving. The WSN design problem is of high complexity, and requires robust methodologies, including simulation support. We use NS2 as simulation program for this model. In this paper, the authors compare the energy consumption on three different deployment methods of WSN. These deployment methods refer to topology deployment. In this simulation, we deploy WSN on grid, array, and random topology. We use different numbers of WSN nodes for showing the scalability. We use AODV as routing protocol and CBR as the traffic. After that, we compare the energy consumption that consume by that networks. Based on simulation result, the array topology is the best topology for deployment. This topology is the lowest on energy consumption, 0.560%. 
Pemantauan dan Pengendalian Parameter Akuaponik Menggunakan Representational State Transfer Application Programming Interface Helmy; Athadhia Febyana; Agung Al Rasyid; Arif Nursyahid; Thomas Agung Setyawan; Ari Sriyanto Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 4: November 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1444.277 KB) | DOI: 10.22146/jnteti.v9i4.594

Abstract

Aquaponics is a combination of aquaculture and hydroponics. One of the hydroponic systems is a drip system. Parameters that need to be considered in aquaponic culture include the acidity of nutrient solution (pH), water temperature, and nutrient solution showed by Total Dissolved Solids (TDS). Plant nutrition is obtained from fish manure which contains nitrogen. Therefore, monitoring pH, TDS, and temperature in realtime and controling soil moisture in aquaponic plants are needed so the plants do not lack nutrients. Representational State Transfer Application Programming Interface (REST API) is used to receive threshold values by farmers through the website and also sends soil moisture values and aquaponics parameters of pH, temperature, and TDS to server. Delay test of the monitoring and controling system is needed to determine the device’s reliability of transmission data. Notification by email is sent to farmer if the soil moisture value is less than the threshold. The result shows that the system can send notification by email to farmer when the soil moisture value was less than the threshold, the average delay of the node-gateway monitor is 6.01 s, while the average delay of gateway-server monitor 10.02 s, and the average delay of server-gateway control is 92.55 s.
Analisis Kinerja Aplikasi Pemantauan dan Pengendalian Smart Agriculture Berbasis Android Helmy; Fenny Rahmasari; Arif Nursyahid; Thomas Agung Setyawan; Ari Sriyanto Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 1: Februari 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1390.956 KB) | DOI: 10.22146/jnteti.v11i1.3379

Abstract

The ever-evolving digital era leads to an industrial revolution in the internet of things (IoT)-based smart agriculture and smart farm. Of many uses is the use of an Android-based app that monitors and controls parameters in the cultivation process in this digital era. An unstable internet connection can interfere with the monitoring process. For this reason, a system integration into a single app running even in an offline condition is needed; therefore, the user can monitor and control the Android-based smart agriculture app in two modes, namely online and offline. A performance analysis is also necessary to know the app's reliability in sending and receiving data. This system integration used two modes of operation, i.e. online and offline, wherein the online mode, the app will communicate with the server when connected with the internet using representational state transfer application programming interface (REST API). Meanwhile, the app will communicate directly with the system through a local access point in the offline mode. This app interacts with the system with the MQTT protocol where the app acts as an MQTT client. The performance analysis was conducted in the black box test, load activity test, and app performance test from the Android profiler. The acquired test from the app functionality test (black box) showed that the user could monitor and control the smart agriculture in online and offline mode through the app. The average load time for all the activities was 3.507 seconds with a network bandwidth of 4.54 Mbps. At the same time, the average load time in a network bandwidth of 35.35 Mbps was 1.4 seconds. The system performance test indicated the app was relatively light as the CPU usage for the app was 31%, with a memory usage of 453.8 MB.
The Efficiency Test of Additional Multi Protocol Label Switching Network Protocol Over Open Shortest Path First Network Using Graphic Network Simulator 3 Ghandie Kurnia Widi; Muhammad Luthfi Baihaqi; Ari Sriyanto Nugroho; Sidiq Syamsul Hidayat
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Technological developments in the field of fiber optic telecommunications with the media of the backbone network is faster in comparison with other technologies. In the process, the telecommunications industry use the metro ethernet configuration with Multi Protocol Label Switching (MPLS) network and  Open Shortest Path First (OSPF) as the backbone network. This study aims to answer the question of how much the effect of adding the MPLS network protocol on OSPF network. So from this research can be known the value of the efficiency of the addition MPLS network protocol on OSPF network based on network performance using a software simulator GNS3 as its backbone through a step-test. From the test results concluded that based on the delay by the load, MPLS makes network performance more efficient by 67.04%, based on the packet loss and link failure conditions, MPLS makes network performance more efficient by 1.1%, but based on the no-load delay, OSPF has more efficient network performance by 41.96%, and based on the transfer rate, OSPF has a more efficient network performance by 5.2%, to delay normal conditions both have a performance with an average value of 0% packet loss. DOI: http://dx.doi.org/10.11591/telkomnika.v15i1.7600
Handover Analysis of Data and VoIP Services in 802.11b/g/n Wireless LAN Imam Prasetyo; Muhammad Anif; Ari Sriyanto Nugroho; Subuh Pramono; Sarono Widodo; Sidiq S. Hidayat
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7832-7844

Abstract

IEEE 802.11b/g/n WLAN with conventional ESS infrastructure doesn’t support handover feature. Handover feature allows user to migrate services between APs without losing connection. Handoff latency is one problem in WLAN to perform real-time application such as VoIP. To bring seamless handover and QoS guarantee in ESS network, we propose five network optimization methods i.e.configuring overlapping area of APs, placing APs in one roaming domain, using the same SSID and security mode, choosing APs channel by margin of 5, and configuring APs as DHCP forwarder. Handover test is done by sniffing on the client that experienced handover. In the result, there are three steps in Layer 2 handoff, i.e. probing, authentication, and re-association with maximum handoff latency is 325.02 ms in data services and 67.412 ms in VoIP. In VoIP services, one way delay is 39.985 - 49.18 ms, one way jitter is 9.45 - 19.57 ms, and the packet loss is 0 - 0.548%. Overall, the built network system is able to guarantee QoS in handover case, both in data and VoIP services.