Yupensius Febi Ariputra, Yoga Satria Putra, M. Muhardi
Jalan Rasau Jaya Kabupaten Kubu Raya berpotensi mengalami kerusakan karena dibangun di atas lapisan yang diduga kurang kompak. Tujuan penelitian ini adalah untuk mengidentifikasi lapisan bawah permukaan di sekitar Jalan Rasau Jaya. Penelitian ini menggunakan metode geolistrik resistivitas dengan konfigurasi Wenner. Metode ini dapat mengidentifikasi sebaran nilai resistivitas bawah permukaan secara lateral. Nilai resitivitas yang diperoleh dijadikan acuan dalam mengidentifikasi lapisan bawah permukaan. Pengukuran dilakukan dengan mengaplikasikan 4 dengan panjang masing-masing 141 m, dan jarak antar elektroda sejauh 3 m. Hasil penelitian menunjukkan bahwa sebaran nilai resistivitas di lokasi penelitian sebesar 2 – 584 Ωm hingga kedalaman 23,6 m. Hasil interpretasi menunjukkan bahwa lapisan bawah permukaan terdiri dari 3 (tiga) lapisan. Lapisan pertama mempunyai nilai resistivitas 260 - 584 Ωm yang diinterpretasi sebagai pasir dan kerikil. Lapisan kedua mempunyai nilai resistivitas 11,1 – 259 Ωm yang diinterpretasi sebagai lapisan lempung berpasir. Lapisan ketiga mempunyai nilai resistivitas 2,0 – 10,1 Ωm, yang diinterpretasi sebagai lapisan akuifer.
{"title":"APLIKASI METODE GEOLISTRIK RESISTIVITAS UNTUK MENGIDENTIFIKASI LAPISAN BAWAH PERMUKAAN JALAN RASAU JAYA, KABUPATEN KUBU RAYA","authors":"Yupensius Febi Ariputra, Yoga Satria Putra, M. Muhardi","doi":"10.22437/jop.v7i1.14632","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14632","url":null,"abstract":"Jalan Rasau Jaya Kabupaten Kubu Raya berpotensi mengalami kerusakan karena dibangun di atas lapisan yang diduga kurang kompak. Tujuan penelitian ini adalah untuk mengidentifikasi lapisan bawah permukaan di sekitar Jalan Rasau Jaya. Penelitian ini menggunakan metode geolistrik resistivitas dengan konfigurasi Wenner. Metode ini dapat mengidentifikasi sebaran nilai resistivitas bawah permukaan secara lateral. Nilai resitivitas yang diperoleh dijadikan acuan dalam mengidentifikasi lapisan bawah permukaan. Pengukuran dilakukan dengan mengaplikasikan 4 dengan panjang masing-masing 141 m, dan jarak antar elektroda sejauh 3 m. Hasil penelitian menunjukkan bahwa sebaran nilai resistivitas di lokasi penelitian sebesar 2 – 584 Ωm hingga kedalaman 23,6 m. Hasil interpretasi menunjukkan bahwa lapisan bawah permukaan terdiri dari 3 (tiga) lapisan. Lapisan pertama mempunyai nilai resistivitas 260 - 584 Ωm yang diinterpretasi sebagai pasir dan kerikil. Lapisan kedua mempunyai nilai resistivitas 11,1 – 259 Ωm yang diinterpretasi sebagai lapisan lempung berpasir. Lapisan ketiga mempunyai nilai resistivitas 2,0 – 10,1 Ωm, yang diinterpretasi sebagai lapisan akuifer.","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114721270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siswoyo Siswoyo, Anisah Mega Andini, Dea Amelia, Aisyah Deri Ayu Tungga Safitri, Yuant Tiandho
The main weakness in shrimp marketing is the perishable food nature of shrimp. Generally, people identify the freshness of shrimp by direct observation. However, it will be difficult to detect the freshness of shrimp if it is marketed in a closed container. In this study, a label indicator of purple sweet potato will be made to detect the freshness of shrimp. The increase in the efficiency of indicator readings is carried out using a neural network algorithm. The results of the sensitivity test showed that the label indicator of purple sweet potato extract was sensitive to the presence of ammonia.Through a comparison between the storage time of shrimp and the organoleptic quality of shrimp, it is known that the quality of shrimp is divided into four classes, namely: (i) "Very fresh" marked with a solid red color (ii) "Fresh marked with a deep blue color (iii) "not fresh marked with a dark red color. gray and (iv) “very unrefreshing marked with a faded brown color. Through label indicator image classification using a neural network algorithm, from 73 training data obtained an accuracy rate of 95.89% and a precision of 92%.
{"title":"PEMANFAATAN EKSTRAK UBI UNGU SEBAGAI INDIKATOR LABEL DALAM PEMANTAUAN KESEGARAN UDANG MENGUNAKAN NEURAL NETWORK","authors":"Siswoyo Siswoyo, Anisah Mega Andini, Dea Amelia, Aisyah Deri Ayu Tungga Safitri, Yuant Tiandho","doi":"10.22437/jop.v7i1.14500","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14500","url":null,"abstract":"The main weakness in shrimp marketing is the perishable food nature of shrimp. Generally, people identify the freshness of shrimp by direct observation. However, it will be difficult to detect the freshness of shrimp if it is marketed in a closed container. In this study, a label indicator of purple sweet potato will be made to detect the freshness of shrimp. The increase in the efficiency of indicator readings is carried out using a neural network algorithm. The results of the sensitivity test showed that the label indicator of purple sweet potato extract was sensitive to the presence of ammonia.Through a comparison between the storage time of shrimp and the organoleptic quality of shrimp, it is known that the quality of shrimp is divided into four classes, namely: (i) \"Very fresh\" marked with a solid red color (ii) \"Fresh marked with a deep blue color (iii) \"not fresh marked with a dark red color. gray and (iv) “very unrefreshing marked with a faded brown color. Through label indicator image classification using a neural network algorithm, from 73 training data obtained an accuracy rate of 95.89% and a precision of 92%.","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Early detection of landslides is very important to minimize the number of deaths. Technological developments allow humans to predict the signs of landslides more accurately, quickly, and scientifically. In this study, sensors were tested to measure landslide disaster parameters, namely humidity sensors to measure soil moisture and flex sensors to measure soil movement. The sensor is controlled using a microcontroller Arduino Uno. A functionality test was carried out to test the ability of the sensors. The functionality test was carried out using the unit testing method. The unit testing method is carried out by comparing the functional test results of each sensor to the expected response. The moisture sensor functionality test shows that the sensor is able to respond to changes in water content in the soil with changes in voltage. The linear equation resulting from the calibration of the humidity sensor is y = -0.126x + 2.666 with R2 = 0.871. The flex sensor functionality test shows that the sensor is able to detect soil movement in the presence of changes in voltage. The linear equation resulting from the flex sensor calibration is y = -2.861x + 2507 with R2 = 0.964. This shows that the humidity sensor and flex sensor are good enough to be applied in the design of a landslide detection system.
{"title":"APLIKASI SENSOR KELEMBABAN DAN FLEX SENSOR BERBASIS ARDUINO UNO UNTUK SISTEM PENDETEKSI LONGSOR","authors":"Rustan Rustan, Jesi Pebralia, Tika Restianingsih, Frastica Deswardani, Nurhidayah Nurhidayah, Iful Amri","doi":"10.22437/jop.v7i1.14805","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14805","url":null,"abstract":"Early detection of landslides is very important to minimize the number of deaths. Technological developments allow humans to predict the signs of landslides more accurately, quickly, and scientifically. In this study, sensors were tested to measure landslide disaster parameters, namely humidity sensors to measure soil moisture and flex sensors to measure soil movement. The sensor is controlled using a microcontroller Arduino Uno. A functionality test was carried out to test the ability of the sensors. The functionality test was carried out using the unit testing method. The unit testing method is carried out by comparing the functional test results of each sensor to the expected response. The moisture sensor functionality test shows that the sensor is able to respond to changes in water content in the soil with changes in voltage. The linear equation resulting from the calibration of the humidity sensor is y = -0.126x + 2.666 with R2 = 0.871. The flex sensor functionality test shows that the sensor is able to detect soil movement in the presence of changes in voltage. The linear equation resulting from the flex sensor calibration is y = -2.861x + 2507 with R2 = 0.964. This shows that the humidity sensor and flex sensor are good enough to be applied in the design of a landslide detection system. \u0000 ","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The amount of waste can be overcome, some efforts are needed to reduce it. This research will focus on the numerical model of a solid waste power plant. Researchers replace turbine with an impact which have a specification certain pressure, the impact rotates the generator The purpose of this research is to get the rms voltage of a generator, where the generator is a generator capable of supplying a rms voltage. This effort is made to convert waste energy into electrical energy. Generators which are the main topic in this research are synchronous generators and permanent magnet generators. Water with a mass of requires a temperature of to provide the required stress, while water with a mass of , its temperature is Water with a mass of requires a temperature of to provide the required voltage, while water with a mass of has a temperature of . For a water mass of , a temperature of , the synchronous rotor speed is , the rms voltage is . To reach the rms voltage of , the rotor on the generator must rotate at a synchronous speed of .
{"title":"PEMODELAN GENERATOR YANG EFEKTIF YANG DIPASANGKAN DENGAN IMPACT WRENCH SEBAGAIUSAHA UNTUK MENINGKATKAN DAYA PADA PEMBANGKIT LISTRIK TENAGA SAMPAH","authors":"Hubertus Ngaderman, E. Sinaga","doi":"10.22437/jop.v7i1.13106","DOIUrl":"https://doi.org/10.22437/jop.v7i1.13106","url":null,"abstract":"The amount of waste can be overcome, some efforts are needed to reduce it. This research will focus on the numerical model of a solid waste power plant. Researchers replace turbine with an impact which have a specification certain pressure, the impact rotates the generator The purpose of this research is to get the rms voltage of a generator, where the generator is a generator capable of supplying a rms voltage. This effort is made to convert waste energy into electrical energy. Generators which are the main topic in this research are synchronous generators and permanent magnet generators. Water with a mass of requires a temperature of to provide the required stress, while water with a mass of , its temperature is Water with a mass of requires a temperature of to provide the required voltage, while water with a mass of has a temperature of . For a water mass of , a temperature of , the synchronous rotor speed is , the rms voltage is . To reach the rms voltage of , the rotor on the generator must rotate at a synchronous speed of . \u0000 \u0000 \u0000 \u0000 ","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127430820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heriyanti Heriyanti, Samsidar Samsidar, Iful Amri, Jesi Pebralia, Rustan Rustan, Linda Handayani, Desi Ayundari, S. Sutrisno
Pengukuran kadar kafein saat ini dibutuhkan agar penggunaan/konsumsi kopi sesui dengan dosis yang dibutuhkan, akan tetapi, sulitnya karakterisasi dan uji kimia dalam penentuan kadar kafein menjadi hambatan untuk mengetahui dosis kafein secara cepat dan tepat. Pada penelitian ini telah dilakukan karakterisasi sensor warna TC3200 sebagai studi awal rangkaian pembuatan alat ukur kafein berbasis sensor. Sampel yang digunakan adalah kopi Liberika, Arabika dan Robusta yang berasal dari Provinsi Jambi. Preparasi sampel dilakukan dengan proses roasting pada suhu 180OC dan pada saat proses berjalan pengambilan sampel secara real time pada (t= 38-45s), hasil preparasi sampel dilakukan uji UV-Vis untuk mengetahui konsentrasi kandungan kadar kafein. Selanjutnya karakterisasi sensor warna TC3200 dilakukan untuk mengetahui nilai RGB (Red, Green, Blue) dari masing – masing sampel kopi. Hasil penelitian didapatkan nilai kadar kafein dari pengukuran UV-Vis yang akan menjadi database sensor, dan hasil karakterisasi sensor warna TC3200 pada kopi Liberika, Arabika dan Robusta secara kuantitatif didapatkan tingkat kevalidan data masing – masing 80%, 60% dan 70% dan analisis kualitatif bahwa sensor dapat digunakan untuk menetukan kadar kafein pada kopi dengan tingkat kematangan atau waktu roasting kopi yang berbeda.
{"title":"STUDY AWAL KARAKTERISASI SENSOR WARNA TC3200 UNTUK MENENTUKAN KADAR KAFEIN PADA KOPI","authors":"Heriyanti Heriyanti, Samsidar Samsidar, Iful Amri, Jesi Pebralia, Rustan Rustan, Linda Handayani, Desi Ayundari, S. Sutrisno","doi":"10.22437/jop.v7i1.15286","DOIUrl":"https://doi.org/10.22437/jop.v7i1.15286","url":null,"abstract":"Pengukuran kadar kafein saat ini dibutuhkan agar penggunaan/konsumsi kopi sesui dengan dosis yang dibutuhkan, akan tetapi, sulitnya karakterisasi dan uji kimia dalam penentuan kadar kafein menjadi hambatan untuk mengetahui dosis kafein secara cepat dan tepat. Pada penelitian ini telah dilakukan karakterisasi sensor warna TC3200 sebagai studi awal rangkaian pembuatan alat ukur kafein berbasis sensor. Sampel yang digunakan adalah kopi Liberika, Arabika dan Robusta yang berasal dari Provinsi Jambi. Preparasi sampel dilakukan dengan proses roasting pada suhu 180OC dan pada saat proses berjalan pengambilan sampel secara real time pada (t= 38-45s), hasil preparasi sampel dilakukan uji UV-Vis untuk mengetahui konsentrasi kandungan kadar kafein. Selanjutnya karakterisasi sensor warna TC3200 dilakukan untuk mengetahui nilai RGB (Red, Green, Blue) dari masing – masing sampel kopi. Hasil penelitian didapatkan nilai kadar kafein dari pengukuran UV-Vis yang akan menjadi database sensor, dan hasil karakterisasi sensor warna TC3200 pada kopi Liberika, Arabika dan Robusta secara kuantitatif didapatkan tingkat kevalidan data masing – masing 80%, 60% dan 70% dan analisis kualitatif bahwa sensor dapat digunakan untuk menetukan kadar kafein pada kopi dengan tingkat kematangan atau waktu roasting kopi yang berbeda.","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Telah dilakukan penelitian sebaran bawah permukaan zona air asin dan zona air tawar di Desa Mata Ie Kecamatan Ranto Peurelak Kabupaten Aceh Timur menggunakan metode Self-Potential dengan teknik Fixed-Based. Data SP diolah menggunakan Surfer 13 untuk memperoleh peta kontur isopotensial. Sebaran zona air tawar berada disebagian wilayah utara dengan nilai SP tinggi berkisar antara 24 mV sampai 30 mV dan sebagian wilayah lainnya merupakan zona air asin dengan nilai SP rendah berkisar antara -2 mV sampai -4 mV. Nilai SP pada zona air asin cenderung rendah diperkirakan akibat dari jumlah akumulasi air tawar lebih besar dibandingkan dengan akumulasi air asin sehingga nilai Sp yang terukur tinggi. Hasil dari analisis uji DO dan pH membuktikan bahwa di daerah lokasi penelitian terdapat air asin dan air tawar.
{"title":"ANOMALI SP BAWAH PERMUKAAN ZONA AIR ASIN DAN ZONA AIR TAWAR DI DESA MATA IE RANTO PEURELAK KABUPATEN ACEH TIMUR","authors":"Maulina Mawaddah, Fajriani Fajriani","doi":"10.22437/jop.v7i1.14719","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14719","url":null,"abstract":"Telah dilakukan penelitian sebaran bawah permukaan zona air asin dan zona air tawar di Desa Mata Ie Kecamatan Ranto Peurelak Kabupaten Aceh Timur menggunakan metode Self-Potential dengan teknik Fixed-Based. Data SP diolah menggunakan Surfer 13 untuk memperoleh peta kontur isopotensial. Sebaran zona air tawar berada disebagian wilayah utara dengan nilai SP tinggi berkisar antara 24 mV sampai 30 mV dan sebagian wilayah lainnya merupakan zona air asin dengan nilai SP rendah berkisar antara -2 mV sampai -4 mV. Nilai SP pada zona air asin cenderung rendah diperkirakan akibat dari jumlah akumulasi air tawar lebih besar dibandingkan dengan akumulasi air asin sehingga nilai Sp yang terukur tinggi. Hasil dari analisis uji DO dan pH membuktikan bahwa di daerah lokasi penelitian terdapat air asin dan air tawar.","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115730457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pemodelan sistem dinamik dalam real time sangat penting dalam kemajuan teknologi otomatis yang berkembang pesat saat ini, seperti metode perencanaan sistem robotic. Artikel ini menjelaskan sistem dinamik benda tegar dengan kendala non-holonomic pada ruang konfigurasi . Metode yang digunakan adalah Motion Planning Network dan simulasi numeric dengan komputasi fisika yang dapat digunakan untuk sistem benda non-holonomik yang bergerak secara real-time dengan Pendekatan Jellet Invarian (JI). Pendekatan JI dapat menghasilkan persamaan sistem gerak dan mengevaluasi simulasi model benda dengan kendala non holonomik dan juga menampilkan hasil eksperimen dinamika benda tegar dalam ruang konfigurasi . Sistem gerak benda dengan kendala non holonomik yang digunakan adalah Tippe top (TT). TT adalah mainan yang mirip seperti gasing yang jika diputar dapat membalik sendiri dengan batangnya. Penulis berhasil mendeskripsikan dinamika gerak TT secara real time dengan syarat awal bervariasi pada ruang konfigurasi .
实时动态系统建模对于当今快速发展的自动化技术至关重要，比如机器人系统的规划方法。这篇文章解释了该对象的动态系统与配置空间的非全息约束。使用的方法是运动设计网络和物理计算的numeric模拟，它可以用无变量叶变虫(JI)的实时非全息物体系统来实现。JI的方法可以创建一个运动系统方程，用非宏观障碍对物体模型进行评估，并在配置空间中显示硬体动力学实验。该系统使用的非宏观障碍是Tippe top (TT)。TT是一种类似陀螺的玩具，如果旋转它，它可以用树干自己翻转。作者能够实时描述TT的动态，其初始条件在配置空间中有所不同。
{"title":"PEMODELAN DINAMIKA TIPPE TOP (TT) DENGAN KENDALA NON-HOLONOMIK BERBASIS KOMPUTASI FISIKA PADA BIDANG DATAR (R^2×SO(3))","authors":"Melly Ariska, H. Akhsan, M. Muslim","doi":"10.22437/jop.v7i1.14457","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14457","url":null,"abstract":"Pemodelan sistem dinamik dalam real time sangat penting dalam kemajuan teknologi otomatis yang berkembang pesat saat ini, seperti metode perencanaan sistem robotic. Artikel ini menjelaskan sistem dinamik benda tegar dengan kendala non-holonomic pada ruang konfigurasi . Metode yang digunakan adalah Motion Planning Network dan simulasi numeric dengan komputasi fisika yang dapat digunakan untuk sistem benda non-holonomik yang bergerak secara real-time dengan Pendekatan Jellet Invarian (JI). Pendekatan JI dapat menghasilkan persamaan sistem gerak dan mengevaluasi simulasi model benda dengan kendala non holonomik dan juga menampilkan hasil eksperimen dinamika benda tegar dalam ruang konfigurasi . Sistem gerak benda dengan kendala non holonomik yang digunakan adalah Tippe top (TT). TT adalah mainan yang mirip seperti gasing yang jika diputar dapat membalik sendiri dengan batangnya. Penulis berhasil mendeskripsikan dinamika gerak TT secara real time dengan syarat awal bervariasi pada ruang konfigurasi .","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Palm Oil Mill Effluent (POME) merupakan limbah minyak kelapa sawit yang memiliki kadar Chemical Oxygen Demand (COD) dan Biochemical Oxygen Demand (BOD) yang tinggi dan sehingga merusak ekosistem periairan serta menurunkan kadar oksigen terlarut (DO). Namun, POME memiliki nutrisi untuk sel alga dalam memproduksi oksigen. Berdasarkan hal tersebut diperlukan identifikasi POME yang jatuh kebadan air berdasarkan fotosintesis Chlorella sp. menggunakan biosensor. Biosensor telah banyak dikembangkan dalam aplikasi bidang lingkungan dengan melihat kadar oksigen terlarut sebagai kualitas perairan. Penelitian ini menggunakan biosensor dengan prinsip sensor amperometris tipe Biochip-G. Sensor amperometris mengukur perubahan arus dari reaksi reduksi dan oksidasi dan menghasilkan potensial keluaran yang terukur. Potensial keluaran yang terukur merupakan kadar oksigen terlarut dari penambahan POME terhadap Chlorella sp. ketika proses fotosintesis terjadi. Identifikasi POME berdasarkan proses fotosintesis Chlorella sp. menggunakan cahaya artifisial LED Putih 380 nm-780 nm dengan tingkat variasi konsentrasi POME sebanyak 10%, 20%, dan 30%. Berdasarkan pengukuran kadar oksigen terlarut (DO) menghasilkan nilai DO sebesar 174.15%, 154.66%, dan 138.98% serta nilai sensitivitas sebesar 4mV/%POME.
{"title":"IDENTIFIKASI LIMBAH PALM OIL MILL EFFLUENT (POME) MENGGUNAKAN BIOSENSOR BERBASIS ALGA","authors":"Dina Maryani, L. Umar","doi":"10.22437/jop.v7i1.14387","DOIUrl":"https://doi.org/10.22437/jop.v7i1.14387","url":null,"abstract":"Palm Oil Mill Effluent (POME) merupakan limbah minyak kelapa sawit yang memiliki kadar Chemical Oxygen Demand (COD) dan Biochemical Oxygen Demand (BOD) yang tinggi dan sehingga merusak ekosistem periairan serta menurunkan kadar oksigen terlarut (DO). Namun, POME memiliki nutrisi untuk sel alga dalam memproduksi oksigen. Berdasarkan hal tersebut diperlukan identifikasi POME yang jatuh kebadan air berdasarkan fotosintesis Chlorella sp. menggunakan biosensor. Biosensor telah banyak dikembangkan dalam aplikasi bidang lingkungan dengan melihat kadar oksigen terlarut sebagai kualitas perairan. Penelitian ini menggunakan biosensor dengan prinsip sensor amperometris tipe Biochip-G. Sensor amperometris mengukur perubahan arus dari reaksi reduksi dan oksidasi dan menghasilkan potensial keluaran yang terukur. Potensial keluaran yang terukur merupakan kadar oksigen terlarut dari penambahan POME terhadap Chlorella sp. ketika proses fotosintesis terjadi. Identifikasi POME berdasarkan proses fotosintesis Chlorella sp. menggunakan cahaya artifisial LED Putih 380 nm-780 nm dengan tingkat variasi konsentrasi POME sebanyak 10%, 20%, dan 30%. Berdasarkan pengukuran kadar oksigen terlarut (DO) menghasilkan nilai DO sebesar 174.15%, 154.66%, dan 138.98% serta nilai sensitivitas sebesar 4mV/%POME. \u0000 ","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research on medical image objects in the form of lung images of thoracic X-Rayis increasingly being developed because the information contained in medical images is used to analyze and determine the shape of the lungs. The process of normalization and image improvement is needed and continued with the segmentation process using the right method. The active snake contour method is used because it is resistant to the noise around the object. The research has been usedthe Matlab software GUI program version R2015a. The image through the initial preprocessing stage is converted into a grayscale image. The segmentation process used after the initialization process in the form of a small circle curve placed of the object to be segmented and the determination position of the active contour or detemination of the active parameters of the contour. Determination of the value active contour parameters greatly influences the results of segmentation and influences the direction of active contour movement. If the active coordinate position of the contour is outside the area to be segmented it will cause active contours to move away from the object. Validation the level of accuracy of segmentation results is done by comparing the results of the snake active contour segmentation to the results of manual segmentationused MSE method
{"title":"SEGMENTASI CITRA THORAX PARU-PARU MANUSIA DARI SINAR-X MENGGUNAKAN METODE KONTUR AKTIF","authors":"Sintha Syaputri, Zulkarnain","doi":"10.22437/jop.v4i2.7577","DOIUrl":"https://doi.org/10.22437/jop.v4i2.7577","url":null,"abstract":"Research on medical image objects in the form of lung images of thoracic X-Rayis increasingly being developed because the information contained in medical images is used to analyze and determine the shape of the lungs. The process of normalization and image improvement is needed and continued with the segmentation process using the right method. The active snake contour method is used because it is resistant to the noise around the object. The research has been usedthe Matlab software GUI program version R2015a. The image through the initial preprocessing stage is converted into a grayscale image. The segmentation process used after the initialization process in the form of a small circle curve placed of the object to be segmented and the determination position of the active contour or detemination of the active parameters of the contour. Determination of the value active contour parameters greatly influences the results of segmentation and influences the direction of active contour movement. If the active coordinate position of the contour is outside the area to be segmented it will cause active contours to move away from the object. Validation the level of accuracy of segmentation results is done by comparing the results of the snake active contour segmentation to the results of manual segmentationused MSE method","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124893562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Telah dilakukan penelitian untukmembuat perancangan pengontrolan temperatur pada alat penetas telur otomatis. Alat penetas telur diset temperaturnya terjaga pada temperatur 380C. Untuk menjaga suhu supaya stabil pada temperatur 380C maka dilakukan pengontrolan temperatur pada alat penetas telur otomatis. Pengontrolan temperatur dilakukan dengan mengatur pemanasan yang melalui heater menggunakan sensor DHT11. Panas dari heater akan diserap melalui kipas dan disebarkan ke seluruh wadah penetas. Heater akan mati apabila suhu telah mencapai temperatur 380C. Dari pengontrolan yang dilakukan maka hasil yang didapatkan dari sistem kontrol dengan set point 380C berkisar antara 370C dan 400C.
{"title":"PERANCANGAN SISTEM PENGONTROLAN TEMPERATUR PADA ALAT PENETAS TELUR OTOMATIS","authors":"Mardian Peslinof","doi":"10.22437/jop.v4i2.7571","DOIUrl":"https://doi.org/10.22437/jop.v4i2.7571","url":null,"abstract":"Telah dilakukan penelitian untukmembuat perancangan pengontrolan temperatur pada alat penetas telur otomatis. Alat penetas telur diset temperaturnya terjaga pada temperatur 380C. Untuk menjaga suhu supaya stabil pada temperatur 380C maka dilakukan pengontrolan temperatur pada alat penetas telur otomatis. Pengontrolan temperatur dilakukan dengan mengatur pemanasan yang melalui heater menggunakan sensor DHT11. Panas dari heater akan diserap melalui kipas dan disebarkan ke seluruh wadah penetas. Heater akan mati apabila suhu telah mencapai temperatur 380C. Dari pengontrolan yang dilakukan maka hasil yang didapatkan dari sistem kontrol dengan set point 380C berkisar antara 370C dan 400C.","PeriodicalId":415382,"journal":{"name":"JOURNAL ONLINE OF PHYSICS","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122493700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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