E-Journal Politeknik Negeri Cilacap
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Studi Kelayakan Produksi Briket dari Kayu Karet dan Sekam Padi Sebagai Upaya Diversifikasi Energi Berkelanjutan
Get PDFThis research aims to evaluate the feasibility of producing briquettes from rubber wood and rice husks as a step towards sustainable energy diversification. Qualitative and quantitative analyses were conducted on the raw materials, considering their physical and chemical properties as well as calorific values. The production process involves drying, grinding, mixing, compacting, and forming using simple technology. Feasibility study results show positive attributes of the briquettes, with low ash content at 1%, high calorific value at 5016 kJ, and low moisture content at 0.9%. Briquettes offer potential as clean and efficient energy sources. Economic analysis reveals an NPV of IDR 407,729 and an IRR of 20%, surpassing the 12% case of capital rate. Overall, this briquette production signifies a viable and sustainable energy diversification effort, contributing to environmentally friendly energy source development
Studi Pendahuluan Kadar Bioetanol Nira Nipah Dengan Penambahan Saccharomyces Cerevisiae
Get PDFEnergy is a basic need of both developing and developed countries. The need for this energy is still supplied by most of the raw materials that are neither renewable nor environmentally friendly. The raw materials are coal and oil. Therefore, a new energy source that is renewable and environmentally friendly is needed, one of which is bioethanol. This research is a preliminary study to see the ability of Saccharomyces cerevisiae in converting nipa sap into bioethanol. The bioethanol obtained was analyzed for gum levels using a Brix refractometer and obtained a sugar concentration of 10%. Then as much as 5 liters of nipa sap added Saccharomyces cerevisiae with a concentration variation of 1%; 2.5%; 5%; 7.5% and 10%. The addition of nutrients in the form of urea and NPK was added to each variation in the concentration of Saccharomyces cerevisiae. The fermentation time was carried out for 4 days in the bioreactor. The highest decrease in sugar content in the bioreactor was found in 10% Saccharomyces cerevisiae as much as 87.1%, this also affected the increase in bioethanol up to 10% concentration
Sistem Pengecekan Lembar Jawaban Komputer Dengan Optical Mark Recognition (OMR) Berbasis Open Computer Vision Python
Get PDFThe computer answer sheet checking system is no stranger to being used during exams at educational institutions or at a non-educational institution. Generally, the method used when checking computer answer sheets is to use the OMR (Optical Mark Recognition) method. Generally, OMR technology is expensive and makes OMR use limited for certain institution. An alternative that we can use is computer vision technology which we can use from several open source libraries and OpenCV is one of them. The author tries to build an alternative OMR LJK checking system using OpenCV in Python. In addition to building the LJK checking system, the author also conducted tests to determine the consistency of the accuracy of the values ​​generated by the system with several test scenarios. The test uses the way the results are compared with manual checking by humans. As a result, the LJK checking system is able to consistently produce accurate values ​​as long as the LJK conditions are not too tilted, not too bright or too dark for the lighting
Optimalisasi daya output pada Photovoltaic Penggunakan sistem tracking dan Fuzzy Logic Controller
Get PDFPhotovoltaic is one of the environmentally friendly power plants. One of the problems using photovoltaic is the low efficiency level. Therefore, a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for dual axis tracking system is used in this study to optimize photovoltaic performance. The dual axis tracking system functions to keep the photovoltaic always perpendicular to the direction of the sun\u27s arrival so that it has more optimal output power. The input of the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as input for fuzzy logic controller. Based on the results of the research, the output power of the Photovoltaic tracking system is 9.363 Watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaic with conventional installation has a power of 7.247 Watt or 36.23% of the specification. So that Photovoltaic with fuzzy logic control for dual axis tracking system is 29.20% more optimal.Photovoltaic is an environmentally friendly power plant. One of the problems with using photovoltaics is the low-efficiency level, therefore a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for a dual-axis tracking system is used in this study to optimize photovoltaic performance. The dual-axis tracking system functions to keep the Photovoltaic always perpendicular to the direction of the sun so that it has a more optimal output power. The input from the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with the RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as fuzzy logic controller input. Based on the research results, the output power of the Photovoltaic tracking system is 9.363 watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaics with conventional installation has a power of 7.247 watts or 36.23% of the specification. So Photovoltaic with fuzzy logic control for dual axis tracking system is more optimal at 29.20%
Cyclomatic Complexity dan Graph Matrix dalam Pengujian Sistem Informasi Manajemen Rumah Sakit
Get PDFInformation systems can assist hospital management in improving services at a hospital. The software development method used in making hospital management applications is using the waterfall method which one of the stages is testing. The problem in system development is that the testing process is not optimal and focuses more on system development so that errors can be found at the implementation stage. System testing is a permit for an error in the system being developed. The aim of the research is to check the design details, use the program design control structure procedurally and run the program to find errors. The method applied to carry out the testing phase in the hospital management system is the Whitebox method using the cyclomatic complexity and graph matrix approaches. Testing will be carried out on the process of managing inpatient data in the application. The results of the research from testing the hospital management system using the cyclomatic complexity approach are that it can provide information on the minimum number of tests and ensure that all program structure paths are used at least once. In addition, the results of the graph matrix test are the probability side that will be carried out.Sistem informasi manajemen rumah sakit merupakan suatu sistem yang dapat meningkatkan pelayanan rumah sakit. Tahap pengembangan perangkat lunak yang dilakukan dalam pembuatan sistem informasi manajemen rumah sakit menggunakan metode waterfall, salah satu tahap waterfall adalah pengujian. Metode yang digunakan untuk melakukan tahap pengujian yaitu menggunakan metode whitebox dengan menggunakan pendekatan cyclomatic complexity dan graph matriks. Pengujian akan dilakukan dalam proses pengelolaan data rawat inap di rumah sakit. Hasil dari pengujian sistem dengan pendekatan cyclomatic complexity adalah memberikan informasi jumlah pengujian minimal dan dilakukan dengan cara melakukan pengujian. Selain itu, hasil pengujian graph matriks merupakan sisi probabilitas yang akan dilakukan
Kajian Eksperimen Pengaruh Variasi Perubahan Sudut Kincir terhadap Kinerja Paddle Wheel Aerator
Get PDFThe main problem discussed in this study is the effort to improve the quality of shrimp pond water, especially the low dissolved oxygen levels by modifying the angle of the aerator wheel. The results showed that dissolved oxygen (DO) levels were very important in shrimp pond culture and that the paddle wheel aerator was a useful tool in intensive aquaculture systems because it could produce DO as needed. The study used a model designed using Solidworks software and tested at a scale of 1:10 with 3 variations of angles (15°, 35°, and 55°) at each wheel angle. The test results show that the angle variation affects the rotational speed and DO production, with the highest rotational speed and DO production achieved at an angle variation of 55°. However, the best parameters for the aerator were found at a variation of the wheel angle of 35° and a rotational speed of 300 rpm, because it produced the highest dissolved oxygen with relatively low power.Masalah utama yang sering terjadi dalam pembudidayaan udang adalah buruknya kualitas air selama pemeliharaan. Salah satu faktor yang mempengaruhi kualitas air yang buruk adalah rendahnya kadar oksigen terlarut. Faktor terpenting dalam budidaya tambak udang adalah kadar DO (Dissolved Oxygen). Paddle wheel aerator merupakan salah satu alat pendukung dalam sistem budidaya tambak intensif, karena dapat menghasilkan DO yang sesuai dengan kebutuhan. Model didesain menggunakan Solidworks Setelah model dibuat, gambar diubah menjadi format STL (Standard Tensellation). Kemudian diteruskan ke perangkat lunak Ultimaker Cura untuk melakukan produksi dengan skala 1 : 10. Pengujian ini dilakukan pada skala 1 : 10 dan memiliki 3 variasi sudut 15°,35°, dan 55°. Pada beberapa pengujian terlihat bahwa variasi jumlah sudut berpengaruh terhadap kecepatan putaran dan DO yang dihasilkan pada setiap variasi. Kecepatan putaran tertinggi dan DO terbesar terjadi pada variasi sudut 55°. Hal ini dikarenakan adanya pengurangan drag dan torsi yang memungkinkan aerator berputar lebih cepat dan menghasilkan laju aliran yang lebih tinggi dibandingkan variasi lainnya. Namun, perlu dilakukan pengujian lebih lanjut dengan menggunakan skala asli 1 : 1 dan dalam kondisi sebenarnya. Ada beberapa faktor lain yang dapat dapat mempengaruhinya. Maka diperlukan pengujian menggunakan skala asli 1 : 1 atau melakukan simulasi agar jumlah pengulangan lebih banyak dan hasilnya dapat dilihat lebih detail
bahasa indonesia
No full textPublic services such as public transportation are closely related to user satisfaction. Busway DKI Jakarta is one of the first public transportation services in Southeast and South Asia. In order to maintain passenger satisfaction, the management of Busway continues to improve services such as adding buses and opening a new line. Opening a new lane or adding buses must necessarily be adjusted also with the increasing number of passengers. So to know the number of passengers in the future, it is necessary to forecast the number of passengers through existing historical data. The historical data used is time series data from January 2015 to January 2016. The method used in forecasting is Long Short-Term Memory (LSTM), one of the machine learning methods. The method is measured in accuracy using Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). As a comparison of LSTM accuracy in forecasting, we also use the Exponential Smoothing method. Based on the results of forecasting, the most and least dominant method of producing RMSE and MAPE is the LSTM method. Only in corridor 3 LSTM can not provide RMSE and MAPE values below baseline values. While corridor 5 LSTM can give better results after the data transformation process by using exponential smoothing. However, overall the LSTM method provides the best accuracy based on the lowest average RMSE and MAPE values, namely RMSE of 2640.53 and MAPE of 9.14%.Pelayanan publik seperti transportasi publik erat kaitannya dengan kepuasan penggunanya. Busway DKI Jakarta adalah salah satu transportasi publik yang pertama di Asia Tenggara dan Selatan. Demi menjaga kepuasan penumpang, pihak manajemen Busway terus meningkatkan pelayanan seperti menambah armada dan membuka jalur baru. Membuka jalur baru atau menambah armada tentu harus disesuaikan juga dengan meningkatnya jumlah penumpang. Maka untuk mengetahui jumlah penumpang di masa depan, perlu dilakukan peramalan jumlah penumpang melalui data histori yang telah ada. Data histori yang digunakan adalah data runtun waktu (time series) dari Januari 2015 sampai Januari 2016. Metode yang digunakan dalam peramalan adalah Long Short-Term Memory (LSTM) salah satu metode machine learning. Metode tersebut diukur akurasinya dengan menggunakan Root Mean Squared Error (RMSE) dan Mean Absolute Percentage Error (MAPE). Sebagai pembanding akurasi LSTM dalam melakukan peramalan, digunakan juga metode Exponential Smoothing sebagai baseline hasil peramalan. Berdasarkan hasil peramalan metode LSTM hanya pada koridor 3 LSTM tidak dapat memberikan nilai RMSE dan MAPE dibawah nilai baseline. Sedangkan koridor 5 LSTM dapat memberikan hasil lebih baik setelah dilakukan proses data transformation dengan menggunakan exponential smoothing. Namun secara keseluruhan metode LSTM memberikan akurasi paling baik berdasarkan nilai rata-rata RMSE dan MAPE yang paling kecil yaitu RMSE sebesar 2640,53 dan MAPE sebesar 9,14 %
Rancang Bangun Kwh Meter Digital Menggunakan Internet of Things
Get PDFIn general, the kWh meter is installed in a distribution substation that supplies electrical energy to the building. The weakness of ordinary kWh meters cannot provide real information on electricity consumption. Measuring and recording the use of electrical energy still requires human power. By utilizing an internet network based on the Internet of Things (IoT) concept, this research aims to design and manufacture a digital kWh meter to monitor and control the use of electrical energy in buildings in real-time on a website. Using the website and the MYSQL-PHPMyAdmin Database as data storage. The PZEM-004T sensor is used to measure the electrical energy used, then it is processed on the Wemos D1 Mini microcontroller. From the test results that have been carried out, the digital Kwh meter has succeeded in monitoring and controlling the use of electrical energy through the website in real-time. Percentage average error value: voltage: 0.44% - 0.49%, current: 0.36%, cos phi leading: 39%, cos phi lagging: 1%, power: 0.93% - 2.68%, kWh: 16.3%, frequency: 0 %
Analisis Kandungan CNPK dari Hasil Pemanfaatan Sampah Sisa Makanan Menjadi Pupuk Organik Cair (POC)
Get PDFFood waste was the largest generation of all types of waste and one of the problems in waste management in Indonesia. One alternative to reduce the generation of food waste is to use food waste to become Liquid Organic Fertilizers (LOF). In this study, the fermentation of food waste into POC through a 21-day. The fermentation is carried out anaerobically. A variation of this research consists of adding Effective Microorganism (EM4) solution as a biostater in the manufacture of LOF. The addition of EM4 solution in this study consisted of variation 1 (5 mL EM4 solution), variation 2 (10 mL EM4 solution), variation 3 (15 mL EM4 solution), and variation 4 (0 mL EM4 solution). Chemical analysis carried out on the quality of LOF consists of Carbon, Nitrogen, Phosphorus, and Potassium content. The results of this study indicated that the highest carbon and potassium content was in variation 4 (without EM4 solution), while the highest nitrogen and phosphorus content was in variation 3 with the addition of 15 mL EM4 solution. All variations in this study did not meet the standard values for carbon, nitrogen, phosphorus, and potassium in content of liquid organic fertilizer
Analisis Timbulan Sampah dan Pemanfaatan Sampah Organik Berbasis Eco enzyme Pada Kawasan Wisata Kuliner Air Salobar, Kota Ambon
Get PDFThe existence of waste in tourist areas does not only have a negative impact locally but also globally. The process of decomposing organic waste produces greenhouse gases, while plastic inorganic waste which is difficult to decompose causes higher levels of microplastic pollution in the environment. The purpose of this study is to analyze waste generation and to utilize organic waste produced in the Air Salobar Culinary Tourism area to become eco enzyme. This research was conducted in March-June 2023 in the Air Salobar Culinary Tourism area, Nusaniwe District, Ambon City. Retrieval and analysis of inorganic waste data refers to SNI 19-3964-1994. The classification of inorganic waste is based on the classification of marine debris according to UNEP (United Nations Environment Programme). Collection of organic waste and processing it into eco enzyme using the observation method. The resulting data is then displayed in the form of tables, diagrams and figures for further discussion. The results of the study proved that the total weight of waste generated in this tourist area was 215.91 kg consisting of 213.37 kg of organic waste and 2.54 kg of inorganic waste. The weight of waste generation both organic and inorganic waste generated during 10 days of observation was 0.22 kg/person/day with a volume of waste generation of 0.84 liter/person/day. The potential for recycling inorganic waste is 99% of the total weight of inorganic waste produced. The potential for recycling organic waste into eco enzyme is 73.16 kg or 80% of the weight of the fruit peel organic waste produced. The eco enzyme solution obtained after 3 months of fermentation is 6.2 liter. The results of this study indicate that the waste generated in the Air Salobar Culinary Tourism area can be recycled which is beneficial both ecologically and economically