Jurnal Media Elektro

TRANSFORMING WOVEN IKAT FABRIC: ADVANCED CLASSIFICATION VIA TRANSFER LEARNING AND CONVOLUTIONAL NEURAL NETWORKS

Silvester Tena, Bernadectus Yudi Dwiandiyanta — Sat, 14 Oct 2023 00:00:00 +0000

The woven ikat fabric from Nusa Tenggara Timur is a local wisdom that must be preserved. Due to its vast array of motifs, users often encounter challenges in its recognition. For this study, the TenunIkatNet dataset was employed. One prominent recognition method involves classification based on the motif type and geographical origin. The efficacy of the classification is heavily contingent upon the method of extraction employed. The Convolutional Neural Network (CNN) method is used for feature extraction and classification processes. This research compares the classification performance of the VGG16 baseline model and the proposed model. The proposed model modifies the baseline at the fully connected layer and the training process from the first convolution layer. Incorporating elements such as Global Average Pooling (GAP), Batch Bormalization (BN), and Dropout has proven instrumental in mitigating overfitting. The transfer learning strategy is used for feature extraction and classification because the model has been intelligently trained on a large dataset. The research findings unequivocally indicate that the performance of the modified model supersedes that of the baseline model. Based on the evaluation metrics, the proposed model is superior to the baseline model with precision, recall, accuracy, and F1-score, respectively 98.73%, 98.54%, 98.54%, and 98.53%

BIOELECTRICITY OF COCOA POD WASTE AS A SUBSTRATE IN A DOUBLE CHAMBER MICROBIAL FUEL CELL

Fitriana Fitriana, M Aan Auliq, Faisal Akbar, Zidny Mubarok — Tue, 17 Oct 2023 00:00:00 +0000

Currently, the utilization of cocoa pod has not been maximized, resulting in waste and foul odors that disturb the environment. However, cocoa pod contain a relatively high amount of cellulose compounds that serve as an energy source or nutrition for bacteria to carry out metabolic activities, thus holding the potential to be used as a substrate in microbial fuel cells (MFC). Based on this, the aim of this research is to investigate the bioelectricity generated by a MFC using cocoa pod husk as a substrate, including voltage, current, and power density, in order to determine the potential of cocoa pod husk waste as an electrical energy source. In this study, a double chamber MFC consists of an anode chamber with copper electrodes and a cathode chamber with zinc electrodes, separated by a salt bridge. The bacteria used were Saccharomyces cerevisiae, and the substrate was made from cocoa pod husk waste. Bioelectricity testing involved measuring the voltage, current, and power density produced by the MFC over several minutes. The measurement results for maximum voltage, maximum current generated, and maximum electrical power (at 6 days) from the reactor were as follows: 36.0 mV, 0.19 mA, and 456 mW/m², respectively.

PERENCANAAN INSTALASI PENYALUR PETIR KURN R-150 PADA GEDUNG AUDITORIUM UNIVERSITAS NUSA CENDANA KUPANG

Michael Laderay Simanullang, Frans J Likadja, Agusthinus S. Sampeallo — Sat, 14 Oct 2023 00:00:00 +0000

Gedung Auditorium Universitas Nusa Cendana adalah sebuah gedung fasilitas utama dalam kegiatan terbuka sivitas Universitas Nusa Cendana seperti kegiatan wisuda dan dies natalis. Gedung ini juga digunakan sebagai sarana kegiatan ilmiah antara lain seminar, workshop Pendidikan dan kegiatan sejenisnya. Pada tahun 2021 terjadi sebanyak 91.568 sambaran petir dan 118 hari guruh di Kota Kupang. Dengan nilai indeks kebutuhan penyalur petir sebesar 16 dan juga Berdasarkan Standar Nasional Indonesia (SNI 03-7015-2004) nilai Frekuensi Sambaran Petir Langsung yang diprakirakan Pada Gedung (N_d) = 0.43 per tahun lebih besar dari yang ditetapkan Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) yaitu N_c=0.1 per tahun. Gedung Auditorium Universitas Nusa Cendana sangat memerlukan perlindungan dari bahaya sambaran petir. Instalasi penyalur petir yang digunakan adalah jenis elektrostatis dengan merk KURN R-150 yang dikaitkan pada tiang setinggi 3 meter yang akan memproteksi area dengan radius 133 meter. KURN R-150 akan mengaliri penyalur petir melalui konduktor BC (Bare Copper) 50mm²dan akan dihubungkan dengan sistem pentanahan multiparalel yang ditanam di dalam tanah sebanyak 28 batang elektroda berdiameter 1.6 cm. Dari 28 batang elektroda yang ditanam secara paralel didapati tahanan pentanahan sebesar 2,932976281 Ω. Perencanaan instalasi penyalur petir KURN R-150 diadakan guna melindungi gedung beserta isinya dari dari bahaya sambaran petir.

EVALUASI RESISTANSI SENSITIVITAS MODUL GALVANIC SKIN RESPONSE BERBASIS ARDUINO NANO

Hendi Handian Rachmat, Marinus Moang Laurentius Say — Thu, 14 Sep 2023 00:00:00 +0000

In this study, we evaluated the sensitivity of a Galvanic Skin Response (GSR) sensor to measure human stress levels based on skin conductivity of two fingers. The goal of this evaluation was to define the optimum sensitivity resistance of the Wheatstone bridge circuit in the GSR sensor to detect six different levels of human stress conditions, ranging from Normal level (0–0.415μSiemens) to Severe level (>4.166μSiemens). To perform this evaluation, we designed and implemented the GSR sensor, which consists of a pair of finger electrodes, a voltage divider circuit, a Wheatstone bridge circuit, an instrumentation amplifier, an Arduino Nano controller circuit, and a display module. The evaluation tested four different sensitivity resistances of the Wheatstone bridge circuit: 50kΩ, 100kΩ, 150kΩ, and 200kΩ. Digital values were measured and calculated for each sensitivity resistance when measuring skin resistance values from 0Ω to 30MΩ with a 50kΩ step increment. These values simulated all six stress level conditions. The measurement showed that the sensitivity resistances of 200kΩ, 150kΩ, 100kΩ, and 50kΩ resulted in a range of skin resistances (with an average percentage relative error) of 3MΩ - 250kΩ (0.45%), 3MΩ - 200kΩ (1.06%), 3MΩ - 150kΩ (1.29%), and 2.4MΩ - 100kΩ (1.09%), respectively.

PERBANDINGAN KUALITAS JARINGAN 4G LTE ANTARA OPERATOR TELKOMSEL DAN TRI DENGAN MENGGUNAKAN METODE DRIVE TEST DI KECAMATAN NANGGALO

Afrizal Yuhanef, Dikky Chandra, Isnurisi Isnurisi — Sat, 14 Oct 2023 00:00:00 +0000

Nanggalo Subdistrict is one of the sub-districts located in the city of Padang, West Sumatra Province. The advantages of data transfer speeds owned by 4G Long Term Evolution (LTE) make telecommunications operators compete with each other to provide the best service quality, but there is still a decrease in network quality in the Nanggalo District area at Telkomsel and Tri operators. So it is necessary to do a drive test to measure and find out the network quality of the two operators. Measuring the quality of a 4G network with RSRP, SINR, and Throughput parameters and how to retrieve data is a benchmark. The software used is TEMS Pocket to take measurement data during the drive test, TEMS Discovery Software to process the data of the test drive results. The comparison results were obtained in Nanggalo District for Tri operator to have better network quality, which can be seen in the SINR parameter has a percentage value of 43.17% and Throughput with a percentage value of 83.56% while Telkomsel operator have a SINR value with a percentage of 17.58% and throughput with a percentage value of 36.59%.

PERBANDINGAN METODA DIFFERENTIAL EVOLUTIONARY ALGORITHM DENGAN LAGRANGE MULTIPLIER PADA OPTIMISASI ECONOMIC DISPATCH

Riswan Dinzi, Yulianta Siregar, Melinda Zubara Siregar — Mon, 16 Oct 2023 00:00:00 +0000

In power plant operation, the highest cost is the cost of fuel, so it is necessary to optimize the Economic Dispatch (ED), which aims to analyze the economic operation of the thermal generator by performing simulation calculations to obtain optimal power and more economical generator operating costs. In this thesis, ED optimization is carried out using the Differential Evolutionary Algorithm (DEA) method at the Pangkalan Susu PLTU. The DEA method is validated with the Lagrange Multiplier method. DEA simulation results are not much different from the Lagrange Multiplier method. The results of the fuel cost comparison using the DEA method are more economical than the fuel costs for the Pangkalan Susu PLTU. In this thesis, the author takes a sample load data of 4 units of Pangkalan Susu PLTU in February 2021. The simulation results of the DEA method for load data for February 2021 produce an average cost savings of 3,111.64 US$/h with a saving percentage of 14, 01%. The lowest average fee is on February 1, 2021, for 17,108.68 US$/d, while the highest average fee is on February 21, 2021, for 20,478.61 US$/h..

ANALISIS PENGARUH CUACA TERHADAP EFISIENSI PANEL SURYA GRID TIE MENGGUNAKAN KONFIGURASI MICRO INVERTER DAN STRING INVERTER TERHADAP ENERGI YANG DIHASILKAN

Setyo Purnomo, Yanuar Zulardiansyah Arief, Ariep Jaenul, Sinka Wilyanti — Tue, 17 Oct 2023 00:00:00 +0000

Sistem PLTS grid tie dalam proses instalasinya dapat dilakukan dengan konfigurasi micro inverter dan string inverte. Penelitian ini menggunakan metode eksperimen dengan melakukan pengukuran berupa tegangan, arus, daya, energi listrik (kWh), dan faktor daya pada titik-titik pengukuran yang telah ditentukan. Analisis dilakukan dengan berbagai kondisi cuaca baik cerah, berawan, maupun kondisi hujan untuk memperoleh performa efisiensi energi listrik yang dihasilkan serta dilakukan uji kedua-dua model konfigurasi untuk memperoleh nilai signifikansi pada kedua konfigurasi ini. Dari analisis data diperoleh hasil yaitu micro inverter memiliki performa lebih baik pada berbagai kondisi cuaca, dan memiliki perbedaan yang signifikan dibanding string inverter sebesar 9,93%. Dalam kondisi cuaca cerah micro inverter juga menghasilkan daya listrik yang lebih baik sebesar 20,43%. Sebaliknya dalam kondisi cuaca berawan, konfigurasi string inverter menghasilkan performa daya listrik yang lebih baik sebesar 14,97%. Photovoltaic module dengan konfigurasi micro inverter memiliki efsiensi rata-rata 10,03% - 11,4% sedang string inverter memiliki efisiensi rata-rata 7,17% - 9%. Besarnya faktor daya konfigurasi micro inverter sebesar 0,35 dan string inverter memiliki faktor daya sebesar 0,4.

ANALISIS PENYEBARAN KASUS COVID-19 MENGGUNAKAN GRAPH SIGNAL PROCESSING: STUDY KASUS DI KOTA KUPANG, INDONESIA

Amin Ajaib Maggang, Sarlince O. Manu, Beby H. A. Manafe, Johanis F. M. Bowakh — Mon, 30 Oct 2023 00:00:00 +0000

To provide information on the spread of Covid-19 cases, the Kupang City government, East Nusa Tenggara province, has created a map of the spreading pattern of Covid-19 cases on the website of Kupang City. However, similar to most maps, it only provides information on the number of daily cases. Information such as a high-risk sub district or an outbreak sub-district has yet to be recorded on the web page. Therefore, this research aimed to analyse the spread of Covid-19 cases to obtain more critical information about its contagious pattern. This research used the Graph Signal Processing (GSP) techniques to analyse the spread of covid-19 cases with respect to the underlying graph structure of 51 sub-districts in Kupang City. Unlike other data analysis methods, GSP can process data by considering the relationship between objects, such as the distance between sub-districts. The data used in this research was the number of Covid-19 cases recorded in the sixth of March 2021. The results showed that GSP can capture the contagious pattern of Covid-19 cases in Kupang City by identifying sub-districts at risk of experiencing a spike in cases, such as the Nunleu sub-district, and the Airnona sub-district as the sources of outbreaks

PERANCANGAN SISTEM PENGISI TOKEN LISTRIK BERUMPAN BALIK PADA kWh METER PRABAYAR BERBASIS ARDUINO

Mon, 30 Oct 2023 00:00:00 +0000

Kilo Watt Hour Meter or kWh meter is a tool for calculating the amount of electrical energy used by electricity consumers, both residential and industrial customers. The electrical energy used is then converted into the electricity price that must be paid each month. Currently, most kWh meters in circulation are smart kWh, which use electricity tokens as transaction calculations. Customers must fill in 20 token numbers via the kWh meter keypad to fill in electricity tokens. Filling in this 20-digit token is not easy, this is because usually, this type of kWh is placed in a higher place to avoid the reach of children. This placement sometimes causes problems with replenishing the token, and users must start over from the beginning. This research aims to create a tool to fill in electricity token numbers that can be controlled using an Android application, making it easier for users to fill in electricity tokens remotely via smartphone. Apart from that, this system has feedback in the form of notifications that display numbers that failed to be filled in on the kWh meter. Test results show that this system can function well from 10 meters without obstructions and 9 meters without obstructions.