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Jurnal Teknologi
Published by Institut Sains dan Teknologi AKPRIND
ISSN : 19793405     EISSN : 23386711     DOI : https://doi.org/10.34151/jurtek
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Teknologi adalah jurnal ilmiah yang diterbitkan oleh Fakultas Teknologi Industri Institut Sains & Teknologi AKPRIND Yogyakarta sebagai wahana publikasi karya ilmiah/penelitian di bidang sains dan teknologi. Jurnal Teknologi menerbitkan dua terbitan per tahun (Juni dan Desember). Tujuan Jurnal Teknologi adalah untuk menerbitkan artikel penelitian yang berkualitas yang didedikasikan untuk semua aspek perkembangan terkini di bidang teknologi industri.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 397 Documents
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Desain Dan Simulasi Turbin Angin Savonius Dengan Konfigurasi Rotor Tipe L Dan Tipe Helix Sebagai Sumber Listrik Lampu PJU Pelabuhan Perikanan Cikidang Pangandaran Jawa Barat Wisnu Yudha Santika; Hadi Saputra; Toto Rusianto
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3150

Abstract

Cikidang Fishing Port, Pangandaran, West Java is located in the southern region of Java island which is directly opposite the Indian Ocean which has the potential for energy development, one of which is from wind. Wind is one of the natural resources that can be used as an alternative power generation source as a substitute for conventional fuel. From the results of observations on the average wind speed for seven days of v = 4.8 m/s. Based on the results of observations, a vertical axis wind turbine, namely Savonius, is planned as the drive of the power plant generator, with configurations in the shape of the rotor, namely the L type and helix type. In type L with a diameter of 1.1 meters, a height of 1.4 meters can receive kinetic energy = 60.96 Joules which has the potential to produce a rotor power of 110.87 Watts. While in the Helix type with a diameter of 1.1 meters, a height of 1.4 meters can receive 82,63 Joules which has the potential to produce a rotor power of 159.32 Watts. In the static structural simulation, for the Savonius L type wind turbine rotor with Aluminum Alloy material, it showed a total deformation of 12.239 mm, an equivalent elastic strain of 2.1252 x 10-4 mm, and an equivalent stress of 14.973 MPa at a rotor rotation speed of 83.4 RPM with a wind thrust force of 25.4 Newton. The Savonius Helix type wind turbine rotor with Aluminum Alloy material showed a total deformation of 11.74 mm equivalent elastic strain of 1.5941 x 10-5 mm, and an equivalent stress of 18.75 MPa at a rotor rotation speed of 83.4 RPM with a wind thrust force of 34.43 Newton.
Fasies Sedimen Kuarter Kaitannya Dengan Potensi Likuefaksi Di Kawasan Das Cimanuk, Indramayu, Jawa Barat Rifki Asrul Sani; Eko Soebowo; Imam A. Sadisun
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3158

Abstract

The lower Cimanuk catchment area which will be developed as industrial area is dominated by Quaternary deposits which are susceptible againts liquefaction if large earthquakes occurred. The presence of Subang, Cirebon 1 and Cirebon 2 active fault segments will trigger earthquake which potentially liquefaction. This study aims to characterize the type of sedimentary facies induced liquefaction hazard in the lower Cimanuk catchment area, Indramayu, West Java. This research methods consist of borehole description and sedimentary facies analysis based on CPT and CPTu data with cone resistance (qt) corrected value, friction ratio (Fr), laboratory analysis and liquefaction potential based on SNI 1726:2019, which is deterministic and 2,500 years return period PGA value. Based on facies association analysis there are three facies that developed in the study area. First, delta plain facies consisting of fluvial sands, silt and clay. Second, delta front facies consisting of beach ridge sands and sandy silt. Third, silt and clay prodelta facies. Liquefaction potential analysis based on N-SPT, CPT and CPTu data shows that almost all test point are potentially liquefied, especially beach ridge sands and silty sand delta front facies. Liquefaction potential is more in the northern region of the study area, caused by the low density of sand and sandy sediments (N-SPT value < 10 or qc < 6,000 kPa).
Analisis Triple Helix Peran Stakeholder Dalam Meningkatkan Penggunaan Motor Listrik Di Indonesia Chadziqatun Najilatil Mazda; Dwi Agustina Kurniawati; Ira Setyaningsih
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3167

Abstract

In this modern era, the use of electric vehicles is not a new thing. The grand strategy of energy national (GSEN) has fourteen strategic programs to be implemented, one of them is increasing the use of battery- electric vehicles motorized, in order to reduce the imports of fuel oil (BBM) and LPG as well as equitable electrification in Indonesia. This program needs to support by cooperation and role contribution from participants (stakeholders). This study was conducted to determine the role of stakeholders to increasing the use of electric motors in Indonesia using a triple helix methode. The data collection was carried out through interviews and documentation studies. The analyze data was use miles and hubberman. The results showed that based on the triple helix analysis, there were 3 stakeholders involved to increasing the use of electric motors in Indonesia. There were universities, industry and government. The universities have a role in conducting research and development for electric motor products, this can be done through final project research or providing research grants the development electric motors topic. The industry has a role in producing electric motors, for example Gesit Companies which produces electric motors, and also raw materials industry and spare part industry as well as component of electric motors. The government has a role in regulations through policies of equitable electrification motor vehicles in Indonesia. One of them is from the Minister of Transportation Regulation (Permenhub) Number 65 of 2020 concerning the conversion of fuel motorcycles into battery-electric motorcycles.
Analisis Sebaran Air Limbah Industri Rumah Pemotongan Ayam Terhadap Kualitas Air Sungai Desa Kalitirto, Kecamatan Berbah, Kabupaten Sleman Oddy Satria Bhaskara; Paramita Dwi Sukmawati*; Angge Dhevi Warisaura
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3533

Abstract

The quality of the waters is influenced by the activities of living things around it, one of which is the activity of small industries that have not treated their wastewater optimally due to a lack of capital. One of the small industries that we often encounter and has the potential to contaminate is the chicken slaughterhouse industry (RPA), because RPA waste water contains high organic matter. This study used a case study approach to analyze the distribution of RPA wastewater on river water quality in Kalitirto Village, Berbah District, Sleman Regency. Data collection was carried out by taking samples of RPA wastewater, RPA groundwater, and river water. Tests were carried out in situ (pH) and in the laboratory (BOD, COD, TSS, total oil and fat). The measurement results of RPA liquid waste exceed the quality standard. The quality of river water before and after RPA is different. The result of the correlation coefficient is -0.829, meaning that the further away the RPA waste is in river water, the smaller the pollution index value. The probability result is 0.085, meaning that the relationship between the presence of liquid waste and the pollution index is not significant. The distribution of RPA waste does not occur in river water but enters the groundwater.
Analisis Time Series Untuk Deep Learning Dan Prediksi Data Spasial Seismik: Studi Literatur Eko Nur Cahyo; Erma Susanti*
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3581

Abstract

Time series analysis is a deep learning method to process data stored in a dense time. This method works for forecast data in particular cases,  such as to analyze and provide the output of a trend from the data. Time series analysis can be used to analyze trends in natural disasters such as earthquakes in Indonesia. As technology advances today, in addition to using seismographs or tools to predict seismic phenomena on the earth's surface, time series analysis can be used to make forecasts and predictions. This paper will summarize various literature reviews about time series analysis and previous research to predict seismic spatial data over the last ten years. The goal is to afford the several approaches or algorithms to be able to forecast seismic spatial data to increase awareness. The results of this literature study were used to find trends, state of the arts, and research challenges and develop new models or methods to predict seismic spatial data. The study shows that deep learning methods can achieve better accurate performance in processing seismic spatial data and other complex data than conventional methods. The deep learning methods can use Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gate Recurrent Unit (GRU), linear regression, and Artificial Neural Network (ANN).
Penggunaan Video Sebagai Media Pembelajaran Pada Matakuliah Grafika Komputer Harmastuti Harmastuti; Dwi Setyowati; Agus Marsadualan
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3970

Abstract

Due to the Covid-19 pandemic in 2019 to 2021, learning activities are carried out online. This is done to reduce physical contact and try to follow the health protocol that has been recommended by the government. For this reason, it is necessary to have learning methods that must be taken, to address this, one of which is the delivery of learning that can be done based on video. This study discusses Video and Powerpoint (PPT) based Computer Graphics learning media, this aims to increase understanding of learning material delivered online (online). In its implementation, video material and PPT for Computer Graphics course semester 6 were made using software (PPT) and Wondershare Filmora Video Editor. As a test sample, the Introduction to computer graphics chapter was taken with Descriptive Analysis using excel, Analysis (Hypothesis Testing) Independent Samples T-Test Method with a significance level of 5% using SPSS, from 9 (nine) respondents, on the material and learning media. Evaluation of learning outcomes used an assessment of the range of scores 1 to 6 (six) for the learning media and 11(eleven) questions related to the understanding of the material. The results showed that the teaching method using video media resulted in an average score of correct answers greater than the average score of correct answers using PPT teaching media. The percentage for video learning media strongly agree (sss) 40.28%, while the PPT learning media assessment strongly agrees (sss) 37.04%.
Optimasi Kondisi Proses Maserasi Daun Strobilantes Cusia Murni Yuniwati; Diny Fitri Lestari; Bambang Kusmartono; Paramita Dwi Sukmawati; Muhammad Yusuf
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3539

Abstract

The process of taking natural dyes from strobilanthes cusia leaves in a very simple way is carried out at UMK Shiungu Temanggung. The process was carried out by soaking the leaves and twigs of the cusia strobilantes in water, with a time of 3 days, and a solvent-to-material ratio of 6:1. The raw materials in the form of intact leaves and twigs cause the maceration results to be less than optimal and cause waste in the form of leaves and twigs which are increasingly stinking. Starting from this problem, it is necessary to carry out research to be able to determine the best conditions for the dye collection process. The maceration process, which was carried out using intact leaves and twigs of Cusia strobilantes that were not chopped, with a maceration time of three days and a solvent-to-material ratio of 6:1, resulted in a solution with a very small absorbance value. For red color with a wavelength of 678 nm the solution has an absorbance value of 2.375. Whereas for the purple color with a wavelength of 409 nm the solution has an absorbance value of 5.275. In addition, the waste obtained is difficult to process because it is large and interlocking and smells bad so it disturbs the environment. Research on the process of maceration of Cusia strobilantes leaves with variations in leaf size, a ratio of solvent to material, and maceration time, shows that the smaller the size of the material and the greater the time used, the greater the absorbance value of the macerated solution, while the ratio of solvent to material indicates an optimal point. The best conditions chosen are process conditions that produce maximum maceration results and facilitate the waste treatment process
Analisis Kualitas Udara Pada Rumah Warga Terhadap Parameter Bakteri dan Jamur Novia Dwi Astuti; Sri Hastutiningrum*; Sudarsono Sudarsono
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3977

Abstract

The final processing and disposal the waste occurs at the Final Disposal Facility (TPA). Because the rubbish heaps include a variety of contaminants and produce air pollution, landfills can have an impact on the environment's quality. This study intends to identify and contrast the outcomes of the analysis of the air quality in residents' homes near the Piyungan TPA location, which is 50 m, 350 m, 650 m, and 1000 m from the TPA, with quality standards according to the Decision of the Minister of Health No. 1077 of 2011 based on bacterial and fungal parameters. The ideal distance between residential areas and the TPA location is another goal of this study. Air sampling at each location used the air sampling method directly with NA media and PDA media in petri dishes. The results showed that the number of bacterial colonies at a distance of 50 m was 4,485.6 CFU m-3 and the fungal colonies were 2,306.4 CFU m-3. At a distance of 350 m, the number of bacterial colonies was 3,355.4 CFU m-3 and fungal colonies were 2,130.9 CFU m-3. The number of bacterial colonies at a distance of 650 m was 2,919.7 CFU m-3 and the number of fungal colonies was 2,001.3 CFU m-3. The number of bacterial colonies at a distance of 1000 m was 1,353.2 CFU m-3 and the number of fungal colonies was 765.2 CFU m-3. Air quality in residents' homes with a distance of 50 m to 1000 m does not meet the healthy air quality requirements based on Minister of Health Regulation No. 1077 of 2011 concerning Indoor Air Conditioning at Home with maximum levels of airborne microbes <700 CFU m-3.
Pengaruh Tegangan Eksitasi Terhadap output Tegangan Generator Sinkron 3 Fasa 6,3kV Prastyono Eko Pambudi; Muhammad Suyanto*; Dio Septa Yogaswara
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.3986

Abstract

Synchronous generators work by changing mechanical energy into 1 and 3 phase electrical energy. Reactive power is needed by consumers to generate magnetic fields in inductive electrical loads. The reactive power setting can be adjusted by increasing or decreasing the excitation current. Excitation current is a DC electric current that is supplied to the generator rotor to generate a magnetic field. The excitation current is proportional to the reactive power released by the generator. This is indicated by the increase in the reactive power of the generator which was initially valued at 0.6999 MVAR to 0.7655VAR after the excitation current was increased from 0.130 kA to 0.140 kA. The data used is measurement data per day from July 1 to July 14, 2022. Calculation of reactive power using the power triangle formula has results that are close to the values of reactive power measured by the largest difference of 0.0198 MVAR or 2.8637547%. The reactive power is all positive so the state of the generator is lagging. The output voltage tends to be stable near the nominal voltage of 6.3 kV, this is because the increase and decrease in excitation is intended to keep the generator output voltage stable.
Analisis Perbandingan Optimizer pada Arsitektur NASNetMobile Convolutional Neural Network untuk Klasifikasi Ras Kucing D. Diffran Nur Cahyo; Muhammad Anwar Fauzi; Jangkung Tri Nugroho; Kusrini Kusrini
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.4025

Abstract

Searching for research titles and abstracts is made easy with these keywords. Artificial Intelligence (AI) technology is currently developing very rapidly, there are various applications of AI that we can find in everyday life around us without realizing it. AI technology now allows us to work with computers more easily, just as we can know the type of cat breed and other information. There is deep learning that works by imitating the human brain or artificial neural networks to enhance current machine-learning capabilities. Deep learning can recognize and classify image categories. This study aims to determine the optimal optimizer in the classification of cat breeds. With the classification of cat breeds, cat keepers can find out the type of cat breed so they can find out how to care for it, the activities, and the personality possessed by the cat. The use of algorithm method used in this study uses the CNN algorithm with the NASNetMobile architecture. The dataset contains 840 images which are divided into 4 classes and divided into 588 training data, 168 testing data, and 84 validation data. for the RMSprop optimizer with a learning rate of 0.0001 to get an accuracy of 89.88%, this result is the highest among the others. Meanwhile, the SGD optimizer gets an accuracy of 78.57 & this result is the lowest. So it can be concluded that the architecture and optimizer are very important and influential in improving the performance of the model.

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