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"Kebutuhan masyarakat terhadap pemahaman intensitas curah hujan serta distribusi secara spasial dan temporal penting terhadap kewaspadaan kebencanaan. Pengamatan curah hujan yang real-time yang disertai prakiraan dapat menjadi dasar yang kuat untuk membangun sistem peringatan dini, khususnya banjir bandang, di mana dapat diamati dari curah hujan yang sangat tinggi dengan rentang waktu pendek. Sistem pengamatan permukaan untuk unsur curah hujan secara otomatis sudah diterapkan di Indonesia menggunakan tipping bucket. Citra satelit Himawari 9 dapat memberikan gambaran curah hujan secara spasial. Informasi peringatan dini potensi membutuhkan sistem pengiriman dan penerimaan data yang andal menggunakan basis pengiriman data melalui internet dengan berbagai protokol MQTT. Tujuan penelitian ini adalah untuk merancang sistem akuisisi data monitoring curah hujan realtime dari penakar hujan otomatis serta merancang sisem peringatan dini cuaca dengan penimbang citra satelit dalam bentuk website. Penelitian ini mampu memonitor curah hujan secara realtime per sepuluh menit dengan ketersediaan data 94,45% dan dapat meningkat hingga 99,0% dan dapat memberikan peringatan dini dengan tingkat kepercayaan sangat tinggi sebesar 73,59% dan tingkat kepercayaan tinggi sebesar 20,77%. Terdapat peringatan dini dengan tingkat kepercayaan rendah sebesar 4,45% yang diakibatkan oleh hujan lokal dengan skala spasial kurang dari 5x5 km2. Peringatan dini yang dihasilkan ditampilkan dalam antarmuka website.

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The community's need to understand rainfall intensity and its spatial and temporal distribution is important for disaster awareness. Real-time rainfall observations accompanied by forecasts can be a strong basis for building an early warning system, especially for flash floods, where very high rainfall can be observed over a short time span. An automatic surface observation system for rainfall elements has been implemented in Indonesia using a tipping bucket. Himawari 9 satellite imagery can provide a spatial overview of rainfall. Potential early warning information requires a reliable data sending and receiving system using a data transmission base via the internet with various MQTT protocols. The aim of this research is to design a real-time rainfall monitoring data acquisition system from an automatic rain gauge and design a weather early warning system by weighing satellite images in the form of a website. This research is able to monitor rainfall in real time every ten minutes with data availability of 94.45% and can increase to 99.0% and can provide early warning with a very high level of confidence of 73.59% and a high level of confidence of 20.77% . There is an early warning with a low confidence level of 4.45% which is caused by local rain with a spatial scale of less than 5x5 km2. The resulting early warning is displayed in the website interface."

"Automatic Weather Station (AWS) mengalami kendala berupa kerusakan komponen dan kegagalan sistem komunikasi, sehingga menyebabkan data parameter tidak lengkap. Kerusakan komponen juga terjadi pada pyranometer. Penurunan kinerja pyranometer menghasilkan penyimpangan, ketidakpastian pengukuran intensitas radiasi matahari, serta gap data. Imputasi data menjadi salah satu solusi dalam meminimalisir penyimpangan pengukuran dan terjadinya missing data pyranometer AWS. Penelitian ini bertujuan mendesain serta menganalisis performa akurasi model imputasi data intensitas radiasi matahari pyranometer AWS multisite ketika terjadi gap data. Penelitian ini berupaya memanfaatkan kaitan spasio-temporal intensitasi radiasi matahari AWS multisite di dalam model imputasi. Algoritma Long-Short Term Memory (LSTM) digunakan sebagai estimator pada jaringan pyranometer AWS multisite. Tahap pemodelan imputasi data meliputi pengumpulan data, pra-pemrosesan data, pembuatan skenario missing data, desain LSTM dan pengujian model. Metode berbasis machine learning ini diharapkan mampu mengimputasi data AWS pada missing data dalam jangka menit maupun jam, jika AWS mengalami kerusakan sistem atau gangguan jaringan komunikasi. Nilai MAPE model LSTM untuk imputasi pyranometer AWS Cikancung untuk missing data 30 menit, 1 jam dan 3 jam berturut-turut yaitu 1,81% ; 2,72% ; dan 5,07%. Nilai MAPE model LSTM untuk AWS Cimalaka untuk missing data 30 menit, 1 jam dan 3 jam berturut-turut yaitu 0,46% ; 1,25% ; dan 3,24%. Nilai MAPE model LSTM untuk AWS Cipasung untuk missing data 30 menit, 1 jam dan 3 jam berturut-turut yaitu 2,30% ; 1,67% ; dan 0,94%.

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Automatic Weather Station (AWS) experienced problems in the form of component damage and communication system failure, resulting in incomplete parameter data. Component damage also occurs in pyranometers. Decreased pyranometer performance results in deviations, uncertainty in measuring solar radiation intensity, and data gaps. Data imputation is one solution to minimize measurement deviations and the occurrence of missing AWS pyranometer data. This research aims to design and analyze the accuracy performance of the multisite AWS pyranometer solar radiation intensity data imputation model when a data gap occurs. This research attempts to utilize the spatio-temporal relationship of multisite AWS solar radiation intensity in the imputation model. The Long-Short Term Memory (LSTM) algorithm is used as an estimator in the multisite AWS pyranometer network. The data imputation modeling stage includes data collection, data pre-processing, creating missing data scenarios, LSTM design and model testing. This machine learning-based method is expected to be able to impute AWS data for missing data in minutes or hours, if AWS experiences system damage or communication network disruption. The MAPE value of the LSTM model for the AWS Cikancung pyranometer for missing data of 30 minutes, 1 hour and 3 hours respectively is 1.81%; 2.72% ; and 5.07%. The MAPE value of the LSTM model for AWS Cimalaka for missing data of 30 minutes, 1 hour and 3 hours respectively is 0.46%; 1.25% ; and 3.24%. The MAPE value of the LSTM model for AWS Cipasung for missing data of 30 minutes, 1 hour and 3 hours respectively is 2.30%; 1.67% ; and 0.94%."

"Kesehatan merupakan hal yang penting dalam kehidupan, dengan teknologi yang semakin canggih, salah satunya adalah teknologi Internet of Things (IoT). Internet of Things menyediakan layanan kesehatan karena berbagai fungsinya, seperti aksesibilitas dan keterjangkauan layanan kesehatan. Makalah ini menyajikan solusi untuk memudahkan pengguna dalam memantau kesehatan dengan menggunakan parameter tanda vital seperti tekanan darah, nadi, suhu tubuh, dan saturasi oksigen. Dengan berbasis Early Warning Score sehingga perawatan dan pemantauan kesehatan dapat dilakukan di rumah berdasarkan pemantauan real-time dan dicatat serta disimpan secara lokal. Sistem juga ditampilkan melalui situs web dan dapat dikirim melalui email untuk analisis lebih lanjut. Subyek dimonitor pada jam-jam tertentu, 1 jam, 2 jam dan 3 jam. Hasil tanda vital dari 15 subjek dengan rentang usia 18±63 menunjukkan rata-rata tekanan darah sistolic 125, tekanan darah diastolic 81, nadi 88,55, suhu tubuh 36,88, dan saturasi OK 97,53. Pengukuran tanda-tanda vital rata-rata pada pria menunjukkan tekanan darah sistolic 131, tekanan darah diastolic 84, detak jantung 93,3, suhu tubuh 36,9, dan saturasi oksigen 97,63. Sedangkan rata-rata pengukuran tanda vital pada wanita menunjukkan tekanan darah sistolic 119, tekanan darah diastolic 79, detak jantung 84,4, suhu tubuh 36,9, dan saturasi oksigen 97,44. Penelitian dari 15 subjek menunjukkan perhitungan skor total ews secara otomatis <4, hal ini menunjukkan bahwa risiko klinis rendah dari 15 subjek.

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Health is an important thing in life, with increasingly sophisticated technology, one of which is Internet of Things (IoT) technology. The Internet of Things provides health services because of its various functions, such as the accessibility and affordability of health services. This paper presents a solution to make it easier for users to monitor health by using parameters of vital signs such as blood pressure, pulse, body temperature, and oxygen saturation. With an Early Warning Score based so that health care and monitoring can be carried out at home based on real-time monitoring and recorded and stored locally. The system is also displayed via the website and can be emailed for further analysis. Subjects were monitored in certain hours, 1 hour, 2 hours and 3 hours. The results of the vital signs of 15 subjects with an age range of 18±63 showed an average of 125 systolic blood pressure, 81 diastolic blood pressure, 88.55 pulse, 36.88 body temperature, and 97.53 OK saturation. The average vital signs measurements in men showed a systolic blood pressure of 131, a diastolic blood pressure of 84, a pulse of 93.3, a body temperature of 36.9, and an oxygen saturation of 97.63. Meanwhile, the average measurement of vital signs in women showed systolic blood pressure of 119, diastolic blood pressure of 79, pulse of 84.4, body temperature of 36.9, and oxygen saturation of 97.44. Research from 15 subjects showed the calculation of the total ews score automatically <4, this indicates that the clinical risk is low from 15 subjects."

"A concept of a modular networked robot is introduced. A simple prototype of this kind of robot is developed to be accessible over web through wireless internet. The modularity is realized by dividing the robot into three modules: main, data acquisition and data processing modules. The main module consists of robot?s body and main processor not only to handle the data processing, but also to store the whole software-based solutions. The data acquisition module is attached with the remaining hardwares like sensors, microcontrollers and signal conditioner circuits. The data processing module represents the software-based system to filter, store, analyze and display the data or its final results. Finally, all modules are integrated through a web-based interface to realize a mobile control and monitoring system. In this thesis, the detail discussion is given only for the microcontroller-based solutions required in the system."

"ABSTRACTThis thesis is designed to get the instrumentation with high sensitivity.Generally, this thesis presents several noteworthy characteristics. First, Colpittsoscillator is used as measurement instrumentation for temperature and humiditywith frequency output varying which correlate with those parameters. Second,AT-Tiny2313-20PU is employed as frequency counter interfaced to a computerthrough an RS-232 port. Third, LabVIEW is employed as the softwaredevelopment environment to communicate from computer to external hardwarefor automatically uploading and processing data. The increasing sensitivity gottenis from (29,9exp-3,45E-2T) C/0C to (-9,73E4/T)Hz/0C and from (1,83E-9) F/%RH to(-48,3E2)Hz/%RH for temperature and humidity respectively."

"Pada kontrol proses industri, seperti kontrol proses industri kimia, kontrol proses pengolahan air bersih dan air limbah industri dan lainnya, kontrol merupakan salah satu peralatan yang penting. Kontrol valve perannya menjadi lebih penting lagi bila suatu kontrol proses dijalankan secara otomatis penuh, dimana valve tersebut dirancang sedemikian rupa agar dapat merespon kondisi masukan yang berupa sinyal analog 0 - 10 V atau 4 - 20 mA.Kontrol valve merupakan suatu peralatan yang dirancang khusus untuk tujuan tertentu pada kontrol proses, sehingga valve seperti itu mempunyai nilai jual yang cukup tinggi, serta memerlukan perawatan yang cukup intens, sehingga diperlukan biaya investasi dan biaya perawatan yang tidak sedikit.Sebagai alternatip dari penggunaan valve diatas serta untuk mengefisienkan penggunaan biaya investasi dan perawatan pada suatu kontrol proses industri dengan standar tertentu, pengendalian buka-tutup dapat dilakukan dengan menggunakan jenis valve mekanikal standar yang dimodifikasi menjadi motorized valve, dimana pengendalian bukaan valvenya dapat diatur dengan tingkat ketelitian yang tidak jauh berbeda dengan kontrol valve.Motorized valve tersebut dimodifikasi sedemikian rupa dan dilengkapi dengan perangkat kontrol posisi yang berupa rotary encoder, dan selanjutnya dihubungkan dengan peralatan pengendali terprogram (PLC) dan kondisi bukaan valvenya dapat dikontrol, dimonitor serta diuji performanya melalui komputer menggunakan software SCADA/HMI.

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In Industrial process controll, such as chemical Industrial, Industrial waste and clean water treatment, demineralization boiler water etc, controlled valve is very important equipment. Controlled valve is to be more important when it used in process controll that operated fully otomatic, where that valve is designed to respon the analog input condition 0 - 10 V or 4 - 20 mA.

Controlled valve is special designed equipment that is used in process controll, for the reason this valve is sold to be expensive, and need high cost maintenance, so that the cost of investment and maintenance is very high.

As alternative used, controlled valve can be modifying from a manual valve which is designed to be a motorized valve with a certain industrial standard to reduce the investment and maintenance cost,and from that modification the motorized valve can be controlled in the precision level and not so different result than the analog controlled valve.

The modification of motorized valve is controlled using the rotary encoder as positioner equipment, connected to programmable logic controller (PLC) and it's performance can be controlled, monitored and tested via computer which is configured using SCADA/HMI software."

"Analisis kualitas udara penting untuk pengetahuan bagi masyarakat Depok. Parameter udara ambien terbesar adalah Karbon Monoksida (CO) dan Nitrogen Dioksida (NO2). Aktivitas transportasi darat adalah salah satu penyebab terbesar penurunan kualitas udara ambien di kota Depok. Penelitian ini dilakukan di jalan Margonda Raya. Dalam penelitian ini, komponen yang digunakan adalah Mikrokontroler Arduino Mega 2560, Sensor Suhu dan Kelembaban SHT11, Sensor Gas CO MQ-7, Sensor Gas NO2MQ-135, Modul Wifi ESP8266, Sensor Arah dan Kecepatan Angin JL-FS2. Hasil uji Sensor MQ-7 dan MQ-135 menunjukkan nilai hubungan yang sangat kuat dengan nilai R2 = 0,9906 untuk MQ-7 dan R2 = 0,9988 untuk MQ-135. nilai ini mendekati nilai R2 = 1, sehingga nilai ini dapat dianggap baik dan benar. Dapat disimpulkan bahwa dari hasil pengujian sensor layak untuk dioperasikan. Data dari alat yang dirancang kemudian akan ditampilkan di web. Kondisi udara konsentrasi polutan CO dan NO2 yang terukur di Jalan Margonda Raya Depok memiliki kisaran nilai yang masih memenuhi Baku Mutu Ambien Nasional. Hasil pengukurannya adalah hasil pengukurannya adalah Gedung Multidisiplin FMIPA UI: konsentrasi polutan CO sebesar 189 μg/Nm3, konsentrasi polutan NO2 sebesar 213 μg/Nm3. Lokasi I Margonda Raya: konsentrasi polutan CO sebesar 148 μg/Nm3, konsentrasi polutan NO2 sebesar 158 ug/Nm3. Lokasi II Margonda Raya: konsentrasi polutan CO sebesar 199 μg/Nm3, konsentrasi polutan NO2 sebesar 225 ug/Nm3.

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Analysis of air quality is important for knowledge for the people of Depok. The biggest ambient air parameters are Carbon Monoxide (CO) and Nitrogen Dioxide (NO2). Land transportation activities are one of the biggest causes of decreasing ambient air quality in the city of Depok. This research was conducted on the Margonda Raya road. In this research, the components used are Arduino Mega 2560 Microcontroller, SHT11 Temperature and Humidity Sensor, CO MQ-7 Gas Sensor, NO2 MQ-135 Gas Sensor, Wifi Module ESP8266, Direction and Wind Speed Sensor JL-FS2. The MQ-7 and MQ-135 Sensor test results produce a very strong value with a value of R2 = 0.9906 for MQ-7 and R2 = 0.9988 for MQ-135. This value returns the value R2 = 1, so this value can be considered good and right. It can be concluded from the results of testing the sensor is feasible to operate. Data from the designed tool will then be compiled on the web. Measured CO and NO2 pollutant air conditions on Jalan Margonda Raya Depok have a range of values that still meet the National Ambient Quality Standard. The measurement results are the results of measurements are the FMIPA UI Multidisciplinary Building: CO pollutant concentration of 189 μg/Nm3, NO2 pollutant concentration of 213 μg/Nm3. Location I Margonda Raya: CO pollutant concentration of 148 μg/Nm3, NO2 pollutant concentration of 158 μg/Nm3. Location II Margonda Raya: CO pollutant concentration of 199 μg/Nm3, NO2 pollutant concentration of 225 μg/Nm3."

"Salah satu zat pencemar yang cukup banyak dihasilkan oleh kegiatan antropogenik adalah partikulat (Particulate Matter/PM). Pencemar partikulat apabila terhirup dalam jumlah banyak dalam waktu yang lama dapat menyebabkan kerusakan fungsi organ pernapasan. Faktor penting yang mempengaruhi konsentrasi partikulat yakni partikulat sumber emisi domestik, sumber emisi eksternal dan kondisi meteorologi seperti suhu, kelembaban relatif, arah dan kecepatan angin. Penelitian ini bertujuan mendesain sistem pemantauan digital PM10 dan PM2.5 berbasis IoT yang terintegrasi dengan parameter suhu, kelembaban, arah dan kecepatan angin. Desain sistem ini terdiri dari perangkat keras sensor partikulat ZH03A, sensor suhu dan kelembabab SHT11, dan sensor kecepatan dan aran angin JL-FS2. Data diproses pada mikrokontroler berbasis ATMega2560 dan kemudian dikirim ke server menggunakan internet sehingga dapat ditampilkan di situs web secara real time. Setiap sensor dilakukan proses kalibrasi dan komparasi dengan alat standar dimana hasil yang didapatkan memiliki nilai koreksi sesuai standar dan dilakukan proses regresi linier agar data yang dihasilkan akurat. Pengukuran PM10 dan PM2.5 telah dilakukan di lima titik pengamatan daerah Jabodetabek dalam rentang waktu yang berbeda beda. Hasil dari penelitian ini menunjukkan dari lima titk pengamatan data PM10 dan PM2.5 memiliki hubungan dengan data suhu dan kelembaban dimana termasuk dalam korelasi sedang dimana korelasi rata rata didapat yaitu sebesar 0,5. Pengolahan data Arah dan Kecepatan Angin dengan data PM10 dan PM2.5 diolah menggunakan WindRose dan PollutantRosemenunjukkan bahwa sebaran polusi di udara serta dipengaruhi oleh topografi dan permukaan bangunan.

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One of the pollutants that is quite a lot produced by anthropogenic activities is Particulate (PM). These activities will produce particulates that have an impact on the decline in air quality in an area. The distribution of PM in the air is influenced by the condition of pollutant sources and by the physical and chemical processes of these pollutants in the atmosphere. This pollutant will be carried by the wind and will accumulate at the destination of the wind direction. Particulate pollutants if inhaled in large quantities for a long time can cause damage to respiratory organ function. Important factors that influence particulate concentrations are domestic emission sources, external emission sources and meteorological conditions such as temperature, relative humidity, wind direction and speed. This study aims to design an IoT-based PM10 and PM2.5 digital monitoring system that is integrated with temperature, humidity, direction and wind speed parameters. The design of this system consists of ZH03A particulate sensor hardware, SHT11 temperature and humidity sensor, and JLFS2 wind speed and flow sensor. Data is processed on an ATMega2560-based microcontroller and then sent to the server using the internet so that it can be displayed on the website in real time. This device will be tested by calibration and comparison methods with standard and operational tools. With this air quality monitoring tool can be an alternative for monitoring air quality and analyzing the influence of meteorological factors on the concentration of PM10 and PM2.5 particulates in the city of Depok."

"Penelitian mengenai produksi biomassa Synechococcus HS-9 dalam fotobioreaktor tubular tanpa aerasi dengan pemaparan gelombang bunyi sine dan square telah dilakukan. Synechococcus HS-9 merupakan cyanobacteria berbentuk coccoid yang diisolasi dari sumber air panas Rawa Danau, Banten. Gelombang bunyi diketahui merupakan salah satu faktor fisik yang dapat mempengaruhi pertumbuhan mikroalga. Gelombang bunyi dapat dibedakan berdasarkan bentuk gelombangnya; dua di antaranya yaitu gelombang bunyi sine dan gelombang bunyi square. Penelitian bertujuan untuk mengukur dan membandingkan kerapatan sel, laju pertumbuhan, dan kadar total lipid biomassa Synechococcus HS-9 dalam fotobioreaktor yang dipaparkan gelombang bunyi sine dan square. Penelitian dilakukan dengan membiakkan Synechococcus HS-9 dalam fotobioreaktor tubular tanpa pemaparan gelombang bunyi sebagai kontrol (PBr-K), serta fotobioreaktor tubular yang dipaparkan gelombang bunyi sine pada frekuensi 279,9 Hz (PBr-A) dan gelombang bunyi square pada frekuensi 279,9 Hz (PBr-B) sebagai perlakuan uji. Hasil uji Kruskal-Wallis menunjukkan bahwa pemaparan gelombang bunyi sine dan square tidak memberikan perbedaan signifikan terhadap rerata kerapatan sel dan densitas optik Synechococcus HS-9 (α=0,05). Meskipun demikian, terdapat perbedaan laju pertumbuhan dan kadar total lipid biomassa Synechococcus HS-9 yang dipaparkan gelombang bunyi sine dan square. Laju pertumbuhan Synechococcus HS-9 pada PBr-A, PBr-B, dan PBr-K berturut-turut adalah; 0,224 atau setara dengan 22,4% per hari, 0,205 atau setara dengan 20,5% per hari, dan 0,171 atau setara dengan 17,1% per hari. Kadar total lipid biomassa Synechococcus HS-9 pada PBr-A, PBr-B, dan PBr-K berturut-turut adalah; 50,6%, 62,3%, dan 47,3%.

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Research about biomass production of Synechococcus HS-9 in tubular photobioreactor without aeration with exposure of sine and square sound wave has been done. Synechococcus HS-9 is a coccoid cyanobacteria that was isolated from Rawa Danau hot spring, Banten. It has been known that sound wave is one physical factor that could affect microalgae growth. Sound waves could be differentiated based on its forms; two of them are sine wave and square wave. The research was done in order to measure and compare the cell density, growth rate, and lipid content of Synechococcus HS-9 biomass grown in photobioreactor exposed with sine and square sound wave. The research comprised of cultivation of Synechococcus HS-9 in tubular photobioreactor without any sound exposure (PBr-K) as control, and cultivation of Synechococcus HS-9 in tubular photobioreactor exposed with sine wave at the frequency of 279,9 Hz (PBr-A) and square wave at the frequency of 279,9 Hz (PBr-B). The result of Kruskal-Wallis test showed that sine and square sound wave exposure didn’t give significant differences to the mean of cell density and optical density of Synechococcus HS-9 (α=0,05). Nonetheless, there are difference in growth rate and lipid content of Synechococcus HS-9 that was exposed to sine and square sound wave. Growth rate of Synechococcus HS-9 in PBr-A, PBr-B, and PBr-K respectively are 0.224 or equivalent to 22,4% per day, 0.205 or equivalent to 20,5% per day, and 0.171 or equivalent to 17,1%  per day. Lipid content of Synechococcus HS-9 in PBr-A, PBr-B, and PBr-K respectively are 50.7%, 62.3%, and 47.3%."