E-Journal Politeknik Negeri Cilacap
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Analisis Kualitas Aplikasi Grabag Guide Menggunakan Standar ISO/IEC 25010
The Grabag Guide application was created in 2023 and is used by more than 200 users and there are problems in terms of user ease in accessing information in the application. The aim of this research is to analyze the quality of the Grabag Guide Android application using the ISO/IEC 25010 standard and provide recommendations for improving the quality of the application. The method used is a quantitative method where data from respondents is used as many as 42 users. The questionnaire results were analyzed using the Structural Equation Modeling (SEM) model. The result is that of the seven hypotheses proposed, six hypotheses have a positive and significant effect on application performance. Functional outcome scores (CR 1.980), compatibility (CR 1.825), ease of use (CR 2.225), reliability (CR 4.150), security (CR 3.789), maintainability (CR 2.631), and portability (CR 2.067). In conclusion, the important feature is compatibility, so this feature can be prioritized when evaluating the quality of the Grabag Guide application. The results of this research can be used as parameters for creating quality tourism applications in other sub-districts in Magelang Regency
Alat Deteksi Suara Gergaji Sebagai Indikasi Awal Terjadinya Penebangan Menggunakan Metode Convolutional Neural Network
Illegal logging in Indonesia is no small problem, with illegal logging causing damage to forest resources in terms of quantity, quality and ecosystem. Many efforts have been taken by the Indonesian government, but it has not been effective in dealing with this problem, due to limited supervision. From this problem, a chainsaw sound detection system was designed as an early indication of logging activity. This system is equipped with four MAX4466 sound sensors using the Convolutional Neural Network method. This system also uses data processing so that the chainsaw sound can be recognized by the system specifically and can communicate remotely with the use of LoRa RFM95. Thus, the system can identify the sound of the chainsaw with a maximum distance of 50 m, the success accuracy of the CNN model created reaches 97.5%, and can be integrated with WhatsApp in realtime
Analisis Kebijakan Pengelolaan Sampah Level Rumah Tangga di Kalurahan Baciro, Kota Yogyakarta
The city of Yogyakarta is one of the contributors to waste at the Piyungan TPST. Waste production in the City of Yogyakarta in 2021 will reach 327 million tons per day with the largest composition of waste being household waste by 55.2%. Baciro Urban Village is one of the sources of waste with a volume of waste generated of 28.57 m3 per day. This study aims to determine the implementation of household waste management in Baciro Village before and after the Zero Inorganic Waste Movement Program policy, factors related to success and obstacles, and the relevance of waste management implementation to health conditions in Baciro Village. The research approach used is a mix method in the form of a combination of qualitative and quantitative approaches. Quantitative analysis was carried out simply by interpreting the data from the questionnaire results in the form of percentage graphs. The results of data processing and analysis show that Baciro Sub-district has implemented the Circular Letter from Pj. Mayor of Yogyakarta Number 660/6123/SE/2022 regarding the Zero Inorganic Waste Movement and succeeded in reducing the final amount of waste disposed of at TPST Piyungan. The existence of the Zero Inorganic Waste Movement Program has brought better development in household waste management in Baciro Kalurahan. The existence of this program has increased community empowerment and the implementation of the waste bank has been able to be monitored to the JSS (Jogja Smart Service) system. However, there are still challenges in terms of regeneration and the contribution of the younger generation. The inhibiting factors of the waste management process are the limited land and waste sorting bins, while the supporting factors for success are if there is sufficient land available and there is an increase in socialization or counseling regarding waste management. The problem of limited land in the implementation of waste banks poses a risk of decreasing public health
Potensi Tanaman Sangitan (Sambucus javanica) sebagai Fitoremediator Tanah Tercemar Logam Berat Zn dari Air Limbah Industri Pelapisan Logam
Phytoremediation is an alternative biological treatment that can be used to reduce soil or water pollutants. Phytoremediation has the advantage of environmentally friendly waste products and a lower budget compared to physical and chemical processes. In addition, phytoremediation has the weakness of long contaminant absorption times, and quite a few plants that are used as phytoremediation agents die because they are unable to survive the high concentrations of heavy metals contained in polluted media. This study aims to determine the ability of the S. javanica (S. javanica) plant as a phytoremediator for soil contaminated with the heavy metal Zn from industrial wastewater. Phytoremediation lasted for 10 days by contacting artificial Zn wastewater with a concentration of 5 mg/L and as much as 50 ml/day on the test plants. The planting medium used was 100% soil (A1) and 50% homogenized soil with 50% manure (A2). Tests were carried out on each part of the plant and growing medium with contact times of 0, 5, and 10 days of phytoremediation. The plant used as a phytoremediator is Sangitan (S. javanica). The optimum contact time in this study occurred on the 10th day of phytoremediation, and the addition of a 50% dose of organic matter in manure had an effect on the concentration of the heavy metal Zn. The accumulation of heavy metal Zn in plant leaves was greater than in roots, with an average BCF of 0.694 for leaves and 0.308 for roots. While the TF value > 1 represents that the Sangitan plant (S. javanica) has the potential to be a phytoremediator and has a high ability to translocate the heavy metal Zn
Potensi Pewarna Alami untuk Pengembangan Kemajuan Teknologi Sel Surya Organik
Electrospinning is a modified technology to produce nano-sized fibers which can be used in making thin layers of semiconductor dye sensitized solar cells. Flourate – doped tin oxide (FTO) substrate was placed as a target for deposition of TiO2 nanofiber synthesized from TiO2 solution. The deposition process of a thin layer of TiO2 nanofiber was carried out for 15 minutes. The TiO2 solution synthesized is a mixture of acetic acid, ethanol, polyvinylpyrrolidone (PVP), and titanium tetra – isopropoxide (TTIP). Mixing the synthesis solution was carried out for 24 hours, to obtain a homogeneous TiO2 synthesis solution. The TiO2 nanofiber thin layer deposition process was applied under an electrospinning voltage of 25 kV, the distance of the FTO substrate as the collector layer to the solution syringe was 25 cm to avoid too large solution droplets. Before the deposition stage, the surface of the FTO substrate is first formed using the etching method by coating Zn and removing the conductive layer using HCl, so that a customized conductive layer is obtained. The annealing process of the deposited TiO2 nanofiber layer was carried out for 3 hours at a temperature of 450°C. The spin coating method was carried out to deposit a layer of Poly [2- methoxy- 5- (2- ethyl hexyloxy)- 1,4- phenylene venylene] (MEH-PPV). Coating variations are carried out with 4 different layer thicknesses. MEH – PPV was prepared by mixing chlorobenzene and stirring for 18 hours. Testing and characterization was carried out using current and voltage characterization (I – V meter), as well as image characterization using Scanning Electron Microscopy (SEM) as an analysis of the influence of layers on organic solar cells
Kajian Kualitas Air Laut dan Sebaran Indeks Pencemaran di Pesisir Utara Kecamatan Palang-Tuban pada Musim Kemarau
The northern coastal area of ​​Palang Sub-District is a densely populated area in the Tuban district with high differentiation of economic activities. The large population and heterogeneous community activities on the northern coastal of Palang Sub-District have the potential to become a source of pollution which results in a decrease in seawater quality. The research aim is to analyze seawater quality on the north coast of Palang Sub-District based on seawater quality parameters and the spatial distribution of the pollution index. It is hoped that this research can help local governments to monitor and control water pollution in the area. Sea water sampling was carried out in the dry season for 2 days at high and low tide conditions. This research analyzes the concentration values ​​of BOD, COD, NO3-, TSS, detergent, oil & grease, pH, temperature, and Total coliform compared to seawater quality standards of PP RI No. 22 of 2021 Appendix VIII on Marine Biota. The spatial distribution of the water quality pollution index is the result of interpolation using the Inverse Distance Weighted (IDW) method from the results of measuring test parameters. The Pearson Correlation statistical test was carried out to determine the level of correlation between the parameters selected in determining water quality. The results of the research show a decline in the quality of the northern coastal waters of Palang-Tuban District with several parameter concentration average values ​​exceeding the quality standards, namely pH = 6.9 (QS = 7.0-8.5); TSS = 29.2 ppm (QS= 20 ppm); Nitrate = 0.4 ppm (QS = 0.06 ppm), BOD5 = 54.8 ppm (QS= 20 ppm), COD = 112.5 ppm (QS= 100 ppm). The water quality status shows that the water conditions are moderately polluted (ST1A), lightly polluted (ST1B-ST5B), and good conditions (ST4C & ST5C). Controlling and reducing the pollution load entering coastal waters needs to be carried out to prevent the quality of coastal waters from decreasing further. One of them is by creating wastewater treatment at every fishing port and fish auction
Potensi Pemanfaatan Enzim Biokatalitik dari Kulit Buah dan Sayur untuk Pengolahan Limbah Cair Rumah Sakit
Health services in hospitals produce hazardous and infectious waste that comes from sharing sources of activity. The research carried out experimentally in laboratory aims to determine the effect of biocatalytic enzyme treatment from fruit and vegetable peel (concentration variations of 5%, 10%, 15%) on pH, chemical oxygen demand (COD) levels, total suspended solids (TSS), and total coliforms of hospital liquid waste. From the research results, it was found that the addition of biocatalytic enzymes was very effective in reducing the total coliform concentration. The highest reduction in coliforms occurred with the addition of 15% enzyme, where there was a decrease from 1600 MPN/100 mL to 500 MPN/100 mL at a digestion time of less than 24 hours. After a digestion time of 2 days, no coliforms were found in the wastewater samples. However, there was a decrease in pH and an increase in TSS and COD concentrations which did not meet quality standards after being treated with enzymes at all concentration variations. The profile of changes in TSS and COD concentrations shows a decreasing trend with an increase in digestion time of 1 to 3 days, the values ​​obtained will still exceed the TSS and COD quality standards (30 mg/L and 100 mg/L). Meanwhile, the waste pH gradually increased with increasing digestion time up to 3 days at enzyme concentrations of 5% and 10%, namely 3.5 and 4.8. However, this value is still outside the permitted quality standard interval, namely 6-9
PENGARUH JARAK LASER HEAD TERHADAP DIAMETER SPOT PADA PEMOTONGAN POLYMETHYL METHACRYLATE MENGGUNAKAN MESIN LASER CUTTING
Laser cutting is one of the processes used as an alternative to conventional machinery that has goodcutting qualities and minimizes product damage. The workings of laser cutting is to direct the output of high laser power on the material to be cut, the material then melts, burns, evaporates by gas, and produces edges with a good quality surface. This study aims to determine the effect of laser head distance from the laser cutting machine on the spot diameter produced on the polymethyl methacrylate (PMMA) material. This study used a laser machine with 60 watts of power and variation of laser head distance with an interval of 1 mm at a distance of 1-28 mm. Spot diameter value was gained measurement from using stereo zoom microscope with 30 X magnification and mapping. The result shows that the spot diameter was 0,229 - 0,990 mm. The factors that affect the value of spot diameter is the laser power used and laser head distance from the material
APLIKASI KAMUS INGGRIS – INDONESIA DENGAN FITUR SPEECH TO TEXT
the use of dictionaries is not only used manually by searching for words in the dictionary book but also digitally which facilitates the work in searching for the meaning of the word. Due to the number of dictionary applications at this time it is done in the development of dictionary applications supported speech to text features in the search he said. Making this application using SQLite database and editor of Android Studio. The use of this dictionary not only functions in searching for the meaning of words, but there is also a list of tensis that comes with text to speech. This application can make it easier to find words and know about tensis. The end result of this application has been tested with several smarthphone with different android version and the result of this application can run well. The drawback of this application is the use of speech to text features that are still online, and data that can be entered into SQLite can not be much and limited, text to speech can not explain tensis accurately
Klasifikasi Citra Mengkudu Berdasarkan Perhitungan Jarak Piksel pada Algoritma K-Nearest Neighbour
Noni fruit is included in exported food commodities in Indonesia. The size of noni fruit, based on human vision, generally has varied shapes with distinctive textures and various patterns, so that the process of filtering fruit based on color and shape can be done in large quantities. In this study, K-Nearest Neighbor (KNN) has been implemented as a classification algorithm because it has advantages in classifying images and is resistant to noise. Noni imagery is a personal image taken from a noni garden in the morning and undergoes a background subtraction process. The imagery quality improvement technique uses the Hue Saturation Value (HSV) color feature and the Gray Level Co-Occurrence Matrix (GLCM) characteristic feature. KNN accuracy without features is lower than using HSV and GLCM features. From the experimental results, the highest accuracy was obtained using HSV-GLCM at K is 1 and d is 1, namely 95%, while the lowest accuracy was 55% using KNN only at K is 5 and d is 8.Buah mengkudu termasuk dalam komoditas pangan ekspor di Indonesia. Ukuran dari buah mengkudu, berdasarkan penglihatan manusia secara umumnya mempunyai bentuk bervariasi dengan tekstur khas dan pola beragam, sehingga proses filterisasi buah berdasarkan warna dan bentuk dapat dilakukan dalam jumlah besar. Dalam penelitian ini, K-Nearest Neighbour (KNN) telah diimplementasikan sebagai algoritma klasifikasi karena mempunyai keunggulan dalam mengklasifikasi citra dan tahan terhadap noise. Citra mengkudu merupakan citra pribadi yang dipotret dari kebun mengkudu pada pagi hari dan mengalami proses background subtraction. Teknik peningkatan kualitas citra menggunakan fitur warna Hue Saturation Value (HSV) dan fitur ciri Grey Level Co-Occurrence Matrix (GLCM). Akurasi KNN tanpa fitur lebih rendah dibanding menggunakan fitur HSV maupun GLCM. Dari hasil percobaan, telah diperoleh akurasi tertinggi menggunakan HSV-GLCM pada K adalah 1 dan d adalah 1 yaitu 95%, sedangkan akurasi terendah yaitu 55% menggunakan KNN saja pada K adalah 5 dan d adalah 8