Jurnal Teknologi Elekterika
Jurnal Teknologi Elekterika: Jurnal penelitian PNUP sebagai wadah komunikasi ilmiah antar akademisi, peneliti dan praktisi dalam menyebarluaskan hasil penelitian bidang rumpun elektro dan informatika yaitu teknik listrik, energi, elektronika, kontrol, telekomunikasi, komputer dan jaringan, dan Multimedia.
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<![CDATA[Rancang Bangun Alat Pentedeksi Detak Jantung Dan Suhu Tubuh Dengan Memonitoring Tampilan Grafik ]]>
<![CDATA[Suwarmiyati, Suwarmiyati]]>;
<![CDATA[H. Masserang, Abil Wardana]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3807
<![CDATA[The heart is an organ that never stops moving, even when humans sleep. The heart rate must constantly be monitored to determine whether our heart rate is average or not. The heart and humans are also not spared from checking body temperature. Because body temperature can indicate the presence or absence of disease in a person's body, in this study, the detector detects heart and body temperature with a monitoring graphic display that makes it easier for users/patients to detect heart detection (BPM) which is equipped with a graphic display and also body temperature which is also on the display screen. The research method used is an experimental method where the tool is made with a standard size of the original tool. Moreover, from the data collection results, it can be interpreted that the tool is feasible to use and follows medical device calibration standards with correction results for heart rate, namely 2.0%, 0.6%, and 1.0%.]]>
<![CDATA[Studi Peningkatan Keandalan Dengan Penambahan Recloser Pada Penyulang Pajalau Pt. Pln (Persero) Ulp Kalebajeng Dengan Metode Section Technique ]]>
<![CDATA[sofyan, sofyan]]>;
<![CDATA[Achmad, Alamsyah]]>;
<![CDATA[Amal S P, Ikhlashul]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3688
<![CDATA[Keandalan penyaluran energi listrik ke konsumen sangat dipengaruhi oleh sistem pendistribusiannya. Untuk itu diperlukan sistem distribusi energi listrik dengan keandalan yang tinggi. Karena manfaat dan fungsi suatu sistem tenaga listrik yang sangat vital dalam kehidupan sehari-hari, maka diperlukan sebuah sistem tenaga listrik yang andal untuk penyediaan dan pendistribusian tenaga listrik pada jaringan distribusi tenaga listrik. Tujuan penelitian ini adalah untuk menghitung tingkat keandalan dan sekaligus melakukan upaya untuk meningkatkan keandalan  sistem distribusi 20 kV pada PT. PLN (Persero) ULP Kalebajeng dengan metode section technique, di mana nilai dari indeks kegagalan dari setiap peralatan utama sistem distribusi diperhitungkan untuk mencari nilai indeks keandalan sistem secara menyeluruh. Studi kasus dilakukan di PT. PLN (persero) ULP Kalebajeng. Pada tugas akhir ini, dilakukan studi peningkatan keandalan sistem distribusi 20 kV pada Penyulang. Tujuan yang ingin dicapai pada tugas akhir ini adalah sebagai evaluasi dalam memperbaiki kinerja peralatan yang ada pada Penyulang Pajalau. Metode yang digunakan antara lain pengumpulan data, pengolahan data, serta penganalisisan keandalan sistem distribusi 20 kV. Nilai indeks keandalan penyulang Pajalau yaitu SAIDI 22.348 jam/tahun dan SAIFI 4.494 kali/tahun. Hasil perhitungan dengan metode Section Technique nantinya akan dibandingkan dengan hasil dari simulasi ETAP setelah mengimplementasikan recloser pada penyulang]]>
<![CDATA[Analisa Predictive Berbasis Supervised Machine Learning Terhadap Kerusakan Peralatan Pembangkit ]]>
<![CDATA[Marte Ardhianto, Mochamad]]>;
<![CDATA[Sumarwanto, Rudi]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3690
<![CDATA[Predictive maintenance is a treatment for the actual operation of the equipment to optimize the company's operations. The output of predictive program maintenance is data, this treatment includes the type of "condition based maintenance" where changes in the condition of the machine or equipment are detected so that proactive actions are taken before the occurrence of machine damage. The K-nearest Neighbor (K-NN) algorithm is a simple supervised machine learning algorithm that is used to solve problems based on classification and regression. K-NN works by finding the query distance and all database examples, selecting a certain number of examples (K) adjacent to the query, then selecting the frequent label (in classification) or the average label (in regression). The purpose of this algorithm is to classify new object conditions based on attributes and samples from the training database. So that a predictive analysis is carried out on the damage to generating equipment using the machine learning application method of the Nearest Neighbor type or the classification of conditions used to predict the age or condition of an equipment by modeling according to the standard Operation & Maintenance of equipment. By doing predictive analysis, maintenance will lead to condition based maintenance so that the KPI (Key Performance Indicator) of operating performance in the form of increasing values, such as Capacity Factor (CF), Equivalent Availbility Factor (EAF) becomes optimal and prevents the generator from tripping suddenly. which is called sudden outage frequency (SdOF), as well as more efficient maintenance costs.]]>
<![CDATA[Studi Skema Konfigurasi PLTS (Studi Kasus: Pulau Kaledupa, Sulawesi Tenggara) ]]>
<![CDATA[Parapa, Hendra Budiono Putra]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3568
<![CDATA[PLTS as one of the most promising technologies to produce economical, clean and sustainable electrical energy can currently increase the national energy mix because of its nature that can be easily built and its development requires a short time compared to other technologies. The purpose of this research is to study the PV mini-grid configuration scheme in the islands. The case study used in this research is on Kaledupa Island, Southeast Sulawesi. The data used is the actual data on the electrical load on the island of Kaledupa and data on the potential for solar radiation sourced from solarglobalatlas.info. Actual electrical load data and solar radiation potential data are processed using an excel application to calculate the PLTS capacity and energy storage system, then a capacity sizing analysis is carried out from the calculation results. This study concludes that the PV, Energy Storage System and Diesel configuration scheme is the most likely scheme to be applied to the electricity system on the island of Kaledupa, taking into account the load conditions in the electrical system]]>
<![CDATA[Analisis Sistem Koordinasi Proteksi Over Current Relay (Ocr) Dan Ground Fault Relay (Gfr) Tegangan 20 Kv Bay Trafo Pada Gardu Induk Sanga-Sanga Kalimantan Timur ]]>
<![CDATA[Thaha, Sarma]]>;
<![CDATA[Indrawan, Andi Wawan]]>;
<![CDATA[Pongkiding, Yosua Januarius]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3527
<![CDATA[As a provider of electricity services, PLN is required to provide service and supply of electricity with good quality, continuity, improvement and efficiency. Disturbances in distribution systems are short circuit faults between phases or ground phase faults. To protect properly, proper coordination of relay settings is required. Among the equipment in the protection system used in distribution lines are overcurrent relays (OCR) and ground fault relays (GFR). In this study, an analysis of the OCR and GFR settings will be carried out on a 20 kV cubicle at the Sanga-Sanga Substation, East Kalimantan, with the help of the DigSILENT Power Factory 15.1.7 application with a disturbance simulation at 10% and 90% of the feeder length. Based on the analysis results, it is obtained that the short circuit results of 3 phases, 2 phases, and 1 phase to the ground have a value that is not much different from the calculation, while the OCR setting for the outgoing relay is 0.8 A on the secondary side. TMS is 0.083 seconds while the relay is on the incoming side of 20 kV 1 A and TMS of 0.198 seconds. The GFR setting for the outgoing relay is 0.06 A on the secondary side, and TMS is 0.1 seconds, and the relay on the incoming side is 20 kV 0.015 A and TMS is 0.26 seconds).]]>
<![CDATA[Application of Artificial Neural Network and Gray Level Co-occurrence Matrix to detect blood glucose levels through the skin of the hands. ]]>
<![CDATA[Umar, Usman]]>;
<![CDATA[Syarif, Syafruddin]]>;
<![CDATA[Nurtanio, Ingrid]]>;
<![CDATA[Indrabayu, Indrabayu]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3756
<![CDATA[Increased glucose in the blood can cause a buildup so that it cannot be absorbed by all of the body's cells, this problem can cause various disorders in the body's organs. To avoid problems, it is necessary to check the blood glucose level regularly. Monitoring blood sugar levels is currently still using invasive techniques that are painful, non-invasive monitoring is needed. This study develops a non-invasive method to predict blood glucose through image processing. For investigation, several invasive images and glucose levels were taken. Types of samples based on age classification, 20-60 years. For accuracy and simple analysis, 37 images of participants as volunteers, samples were evaluated and investigated under the gray level co-occurrence matrix (GLCM). In this study, an artificial neural network (ANN) was used for all training and hand texture testing to detect glucose levels. The performance of this model is evaluated using Root Mean Square Error (RMSE) and correlation coefficient (r). Clarke Error Grid Analysis (EGA) variance was used in this investigation to determine the accuracy of the method. The results showed that the RMSE was close to the standard value, the regression coefficient was 0.95, and the Clarke EGA analysis: 81.08 % was in the A zone. So that the blood glucose prediction model using the GLCM-ANN method is feasible to apply.]]>
<![CDATA[Perancangan Jaringan Fiber To The Home (FTTH) PT. Telkom Indonesia (Persero) Tbk Witel Makassar di Desa Bontomanai Bulukumba ]]>
<![CDATA[Mahjud, Ichsan]]>;
<![CDATA[Nirwana, Hafsah]]>;
<![CDATA[Andhika, Andi]]>;
<![CDATA[Mimsyad, Muhammad]]>;
<![CDATA[Litha, Arni]]>;
<![CDATA[Yuniarti, Yuniarti]]>;
<![CDATA[Halide, Lidemar]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3803
<![CDATA[Fibre Optics is a delivery medium to connect network points to multipoint. FTTH is a service provided to customers to meet internet needs in terms of voice, data and video (triple play) services. PT. Telkom has standards for determining network eligibility, namely Power Link Budget and Rise Time Budget. With a case study in Bontomanai Village, Bulukumba, it is possible to simulate the design of the FTTH network to measure BER (Bit Error Rate) for system performance. From the results of network design calculations that the Power Link Budget, one of which is the attenuation from STO to the customer, is 25.65 dB, where this value is still feasible because it is still in the standard range of PT. Telkom is 13 – 28 dB. The Rise Time Budget parameter obtained based on the analysis is 0.262 ns which has not yet crossed the NRZ degradation limit of 0.28 ns. Simulations have been carried out using Optisystem software to measure BER]]>
<![CDATA[Pemodelan Peramalan Beban pada System Sulselrabar Menggunakan Tipe-2 Logika Fuzzy ]]>
<![CDATA[Djalal, Muhammad Ruswandi]]>;
<![CDATA[Robandi, Imam]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3751
<![CDATA[Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan beban jangka pendek. Sebagai data input digunakan data beban dari tahun 2010 sampai dengan tahun 2016 pada hari yang sama yaitu tanggal 8 Januari. Untuk melihat keakuratan hasil, dilakukan dua pendekatan, yaitu logika fuzzy tipe-1 yang dimodelkan menggunakan Simulink dan logika fuzzy tipe-2 dengan menggunakan m-file Matlab. Dari hasil analisis diperoleh Mean Percentage Error (MAPE) paling kecil dengan menggunakan metode Fuzzy Logic Type-2, dibandingkan dengan metode Fuzzy Logic Type-1. Dimana, MAPE untuk metode fuzzy logic tipe-1 adalah 2.1%, dan dengan menggunakan metode logika fuzzy tipe-2, MAPE adalah 1.7%.]]>
<![CDATA[Analisis Efisiensi Generator Pada GT21 Blok 2 Pembangkit Listrik Tenaga Gas Dan Uap PT. CEPA Sengkang ]]>
<![CDATA[AR, Ashar]]>;
<![CDATA[Hamma, Hamma]]>;
<![CDATA[Alfira WS, Wisna Saputri]]>;
<![CDATA[Asri, Andarini]]>;
<![CDATA[Ardiyansyah, Ardiyansyah]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3805
<![CDATA[Â Â Â Â Â Â PLTGU Sengkang which is operated by PT. CEPA Sengkang with a total capacity of 315 MW. One of the important components in the PLTGU system is a generator. In a generator there are many problems that arise, including generator efficiency problems. The research that will be carried out is to determine the generator efficiency value and then determine how much the generator efficiency value increases. In finding the efficiency value by making daily and monthly loading curves using generator output power, generator input power data, generator nameplate and generator power losses at 25%, 50%, 75%, and 100% loading. In this study, taking a sample that lasted for 1 month (31 days) of generator efficiency data for each loading and comparing the actual with the generator specifications, the difference for loading 25% experienced a decrease in efficiency of 0.35%, for loading 50% experienced an efficiency increase of 0.12%, for loading 75% increased efficiency of 0.25% and for loading 100% increased efficiency of 0.32%. In this study the generator has experienced reverse power so that the efficiency of the generator has decreased. The average efficiency in May 2022 was 96.21%, with an average load of 29.96 MW and an average input power of 31.14 MW. Referring to the manual book Block 2 PLTGU PT. CEPA Sengkang is known that the generator efficiency value is by design divided into 4 loadings. For loading 25% efficiency is 96.6%, for loading 50% efficiency is 98.45%, for loading 75% efficiency is 98.82%, and for loading 100% efficiency is 98.93% and so that the optimum efficiency of the generator occurs at a load of 54.2 MW (loading 100 %) with a value of 99.62%.]]>
<![CDATA[Analasis Penerapan Teknologi Traffic Steering SD-WAN Menggunakan Perangkat FortiGate ]]>
<![CDATA[Nurul Fauziah, Andi Dinda]]>;
<![CDATA[Nirwana, Hafsah]]>;
<![CDATA[Litha, Arni]]>;
<![CDATA[Mahjud, Ichsan]]>
<![CDATA[ Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang ]]>
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DOI: 10.31963/elekterika.v6i2.3478
<![CDATA[In the current digital transformation era, network providers have long relied on WAN technology to support the business communications of their multi-local companies; however, in terms of infrastructure, cost, and even effectiveness, WAN technology is no longer sufficient to meet the needs and demands of telecommunications customers. In addition, given the magnitude of the company's need for internet network connections, technology is also needed to manage the use of traffic from rental links in the company so that it can optimize bandwidth usage from the link itself. Therefore one of the technological innovations to improve information processes is cloud-based digital innovation such as SD-WAN Traffic Steering technology. In this paper, the SD-WAN network design will be carried out on FortiGate series 50e devices by implementing traffic steering technology which can adjust a link's traffic flow according to the client's wishes. The results of the data obtained indicate that the utilization of ISP links owned by companies (Lintasarta and MNC) has been able to be used optimally, as evidenced by the use of bandwidth on each link successfully used according to the desired settings, where the settings provided have also been adjusted according to parameters of the type of each ISP service so that functionally the existing service link can be used optimally by the compan]]>
