SINGLE MASTER – MULTIPLE SLAVES MICROCONTROLLER IMPLEMENTATION FOR SENDING AND RECEIVING DATA ON WEATHER STATION PROTOTYPE

We have carried out the microcontroller research implementation as a Master to control multiple Slaves microcontroller on weather station prototype. Master Microcontroller could be interconnected with four Slaves microcontrollers Slaves, in which each has a different type of input. In this research, we used an ATmega8535 microcontroller. To distinguish between a Slave microcontroller and another Slave microcontroller, an addressing system (ID) is used. Data communication used a standard serial port RS-232 and RS-485 ports, the connector is used to connect the two ports. The Single Board Controller (SBC) Master serves user commands from users, sending the commands and processing Slaves. User commands are given via the keypad and then transmitted using a Universal Asynchronous Receiver-Transmitter (USART) to SBC Slaves. The process on the SBC Slaves is waiting for orders from the Master. The order is detected using an interrupt. After that, the commands are processed and the respond is sent to the SBC Master via USART. When there is no command, Slaves do the idle process. The result shows that the microcontroller application single Master - multiple Slaves has functioned for sending and receiving data in accordance with the specified command. This is shown by the output on a display that has shown the result as expected. The power consumption of each SBC is relatively small which is 0,745 Watt. Thus, it makes the system more economically profitable

Prediction of the Sea Level from the PUMMA System Using SARIMA

The rising sea levels can threaten millions of people residing along the coast or lowlands. The risk can be mitigated by the sea-level prediction done by collecting information on the likelihood of rising sea levels. The Ministry of Marine Affairs and Fisheries of Indonesia has developed Perangkat Ukur Murah untuk Muka Air Laut (Inexpensive Device for Sea Level Measurement, PUMMA) to measure sea levels. PUMMA is located in remote monitoring stations based on Indonesian maritime area. The PUMMA system currently lacks a prediction feature. This objective of this study is to model the sea-level prediction using the dataset for one year, from July 2021 until July 2022. The seasonal autoregressive integrated moving average (SARIMA) method was used because SARIMA proved to be a flexible and versatile method for a dataset having noncomplex nature and seasonal patterns. This study has developed several models of the SARIMA. The model performance was evaluated using the mean absolute percentage error (MAPE), R-squared, mean square error (MSE), and root mean square error (RMSE) metrics. The SARIMA(1, 1, 0)(1, 1, 1)12 model achieved the lowest prediction error with an R-squared of 0.508, MSE of 0.0479, and RMSE of 0.069. Based on the performance, SARIMA(1, 1, 0)(1, 1, 1)12 model is feasible for predicting sea levels using the PUMMA dataset

Monitoring Indonesian online news for COVID-19 event detection using deep learning

Even though coronavirus disease 2019 (COVID-19) vaccination has been done, preparedness for the possibility of the next outbreak wave is still needed with new mutations and virus variants. A near real-time surveillance system is required to provide the stakeholders, especially the public, to act in a timely response. Due to the hierarchical structure, epidemic reporting is usually slow particularly when passing jurisdictional borders. This condition could lead to time gaps for public awareness of new and emerging events of infectious diseases. Online news is a potential source for COVID-19 monitoring because it reports almost every infectious disease incident globally. However, the news does not report only about COVID-19 events, but also various information related to COVID-19 topics such as the economic impact, health tips, and others. We developed a framework for online news monitoring and applied sentence classification for news titles using deep learning to distinguish between COVID-19 events and non-event news. The classification results showed that the fine-tuned bidirectional encoder representations from transformers (BERT) trained with Bahasa Indonesia achieved the highest performance (accuracy: 95.16%, precision: 94.71%, recall: 94.32%, F1-score: 94.51%). Interestingly, our framework was able to identify news that reports the new COVID strain from the United Kingdom (UK) as an event news, 13 days before the Indonesian officials closed the border for foreigners

EKSPLORASI MIKORIZA VESIKULA ARBUSKULA (MVA) PADA LAHAN REVEGETASI PASCA TAMBANG BATU KAPUR DAN STATUS INFEKSINYA TERHADAP AKAR JAGUNG (Zea mays)

Penelitian ini bertujuan untuk mengetahui jenis dan kepadatan spora jamur mikoriza vesikula vesikula arbuskula (MVA) pada tegakan Leucaena leucocephala di lahan revegetasi pasca tambang batu kapur yang kemudian diinokulasi pada tanaman Zea mays untuk melihat waktu yang dibutuhkan MVA tersebut untuk menginfeksi akarnya. Sehingga diharapkan penelitian ini mampu memberikan informasi mengenai keanekaragaman spora MVA di lahan revegetasi pasca tambang kapur untuk selanjutnya dapat digunakan sebagai MVA lokal yang dapat membantu pertumbuhan dan perkembangan tanaman sekitar lahan tambang batu kapur. Penelitian ini dilakukan dengan metode observasional deskriptif. Pengambilan sampel tanah dilakukan dengan metode komposit yang selanjutnya dilakukan pengujian parameter fisika (tekstur) dan kimia tanah (pH, C-Organik, N Total, C/N, P-Olsen, K, Na, Ca, Mg, KTK, Jumlah Basa, Kejenuhan Basa). Isolasi MVA dilakukan dengan metode tuang saring basah yang selanjutnya diidentifikasi. Perbanyakan spora dilakukan dengan menggunakan tanaman inang Zea mays. Pengamatan infeksi akar dilakukan dengan metode clearing dan staining. Berdasarkan penelitian diketahui bahwa terdapat 4 genus MVA yaitu Acaulospora, Glomus, Gigaspora dan Scutellospora dengan kepadatan paling tinggi adalah genus Acaulospora (100/100gr) dengan kualitas tanah yang rendah. Percampuran genus Acaulospora, Glomus, Gigaspora dan Scutellospora indigenous dari tanah lahan revegetasi pasca tambang batu kapur diketahui mampu dengan cepat menginfeksi akar Zea mays mulai hari ke-80 atau 20 hari setelah dilakukan pencekaman kekeringan tanpa air. Oleh karena itu dapat direkomendasikan bahwa genus MVA indigenous lahan revegetasi pasca tambang batu kapur dapat dijadikan sebagai biofertilizer untuk tanaman lokal sekitar lahan tambang batu kapur

長期処方記録上の薬物処方戦略分析のためのデータ駆動型後向き研究

京都大学0048新制・課程博士博士(情報学)甲第21397号情博第683号新制||情||118(附属図書館)京都大学大学院情報学研究科社会情報学専攻(主査)教授 吉川 正俊, 教授 黒田 知宏, 教授 守屋 和幸学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDFA

Systematic Literature Review : Peran Antioksidan Belimbing Wuluh (Averrhoa Bilimbi) Terhadap Penurunan Kadar Gula Darah Diabetes Melitus Tipe 2

Abnormalitas sekresi dan atau kerja insulin akibat ketidakseimbangan antara radikal bebas dan antioksidan. Diet antioksidan diperlukan untuk membantu antioksidan endogen memutus rantai reaksi radikal bebas. Pemberian antioksidan pada penatalaksanaan Diabetes Melitus (DM) masih kurang mendapat perhatian. Kajian ini bertujuan untuk mengetahui mekanisme antioksidan belimbing wuluh (Averrhoa bilimbi) dalam menurunan kadar gula darah DM tipe 2 dan efektivi- tasnya. Kajian Systematic Literatur Review disintesis secara narrative review menggunakan alur PRISMA. Hasil ekstraksi data menunjukkan (1) penelitian ek- sperimental ekstrak Averrhoa bilimbi untuk menurunkan kadar gula darah dalam rentang waktu 2012-2021 sebanyak 10 penelitian; (2) perbedaan pemberian dosis ekstrak Averrhoa bilimbi pada hewan coba menunjukkan perbedaan penurunan kadar gula darah yang signifikan; (3) penelitian pada manusia sebanyak 1 penelitian sehingga tidak dapat dilakukan komparasi dengan penelitian lain; (4) perbedaan pelarut ekstrak Averrhoa bilimbi pada manusia (air) dan hewan coba (etanol) menyebabkan perbedaan kandungan Averrhoa bilimbi; (5) perbedaan me- tabolisme hewan coba dan manusia menyebabkan perbedaan penurunan kadar gula darah secara signifikan; (6) efektivitas ekstrak Averrhoa bilimbi dan obat an- tidiabetik (glibenklamid dan metformin) memiliki efektivitas yang sama (p > 0,05); (7) uji histopatologi pemberian ekstrak Averrhoa bilimbi memberi efek hepatopro- tektif dari kerusakan akibat stres oksidatif. Kesimpulan yang didapat dari kajian ini adalah ekstrak Averrhoa bilimbi menurunkan kadar gula darah secara efektif. Kan- dungan antioksidan saponin dan flavonoid meningkatkan sensitivitas insulin me- lalui peningkatan fosforilasi Insulin Reseptor Substrate-1 (IRS-1) / phosphoinosi- tide 3-kinase (PI3K) / pyruvate dehydrogenase kinase 1 (PdK1) / protein kinase B (AKT) jalur AMP- activated protein kinase (AMPK) - P38 mitogen-activated protein kinase (P38 MAPK) sehingga meningkatkan Glucose transporter type 4 (GLUT-4) pada jaringan perifer