scholarly journals Kajian Landing Station Alat Deteksi Dini Tsunami Berbasis Kabel Serat Optik Bawah Laut di Kabupaten Pasangkayu, Sulawesi Barat

2021 ◽  
Vol 5 (1) ◽  
pp. 19-30
Author(s):  
Puspa Khaerani ◽  
Heru Sri Naryanto ◽  
Dian Nuraini Melati ◽  
Syakira Trisnafiah
Keyword(s):  
Early Detection ◽  
Detection System ◽  
Secondary Data ◽  
Scientific Paper ◽  
Fiber Optic Cable ◽  
Final Choice ◽  
Landing Point ◽  
Power House ◽  
Observation Methods ◽  
Choice Location

The construction of an underwater fiber-optic cable-based tsunami early detection system is planned to be installed in the Makassar Strait with a landing point in West Sulawesi. Land infrastructure such as a Power House (PH), a communication tower, and a Beach Manhole (BMH) is needed to sustain the system's power in order to survive. Therefore, the aim of this scientific paper is to study several alternative landing station locations in Pasangkayu, West Sulawesi and then determine the priority locations. The methods used to achieve these objectives are field observation methods and secondary data analysis based on parameters of land area conditions, environmental conditions, supporting infrastructure, social conditions and licensing systems, and marine activities. These aspects are then assessed to determine the priority of the selected location. The location selected based on the assessment carried out is ALT-02B. In succession, the three priority locations selected from the order of most priority to least priority are ALT-02B, ALT-02A, and ALT-06. This selected priority location is not necessarily the final choice location to be used in the construction of a tsunami early detection system land infrastructure because in the process there are still things to be considered and aspects that are made the main priority for consideration in making decisions.

scholarly journals Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3052
Author(s):  
Mas Ira Syafila Mohd Hilmi Tan ◽  
Mohd Faizal Jamlos ◽  
Ahmad Fairuz Omar ◽  
Fatimah Dzaharudin ◽  
Suramate Chalermwisutkul ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Early Detection ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Predictive Analytics ◽  
Detection System ◽  
Imaging Techniques ◽  
Ganoderma Boninense ◽  
Machine Learning Classification ◽  
Detection Techniques

Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causes a serious threat to the palm oil industry. This catastrophic disease ultimately destroys the basal tissues of oil palm, causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This review describes past and future prospects of integrated research of near-infrared spectroscopy (NIRS), machine learning classification for predictive analytics and signal processing towards an early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, (i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and imaging techniques in reactions with organic tissues, (ii) the NIR spectrum is more precise and sensitive to particular diseases, including G. boninense, compared to visible light and (iii) hand-held NIRS for in situ measurement is used to explore the efficacy of an early detection system in real time using ML classifier algorithms and a predictive analytics model. The non-destructive, environmentally friendly (no chemicals involved), mobile and sensitive leads the NIRS with ML and predictive analytics as a significant platform towards early detection of G. boninense in the future.

scholarly journals STUDI PENYULUHAN PERTANIAN PUPUK ORGANIK PADA PETANI KELAPA SAWIT DI DESA SUKASARI KECAMATAN MESUJI RAYA KABUPATEN OGAN KOMERING ILIR

2018 ◽  
Vol 6 (2) ◽  
pp. 117
Author(s):  
Joko Amin Sunarko ◽  
Rafeah Abubakar ◽  
Harniatun Iswarini
Keyword(s):  
Oil Palm ◽  
Sampling Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Agricultural Extension ◽  
Primary Data ◽  
Analysis Method ◽  
Purposive Sampling ◽  
Observation Methods ◽  
Collection Methods

ABSTRACT This study aims To find out the constraints faced by extension workers in providing agricultural extension in Sukasari Village Mesuji Raya District Ogan Komering Ilir Regency and To know the response of farmers to the implementation of agricultural extension in the Sukasari Village Mesuji Raya District Ogan Komering Ilir Regency. This research was carried out in Sukasari Village Mesuji Raya District Ogan Komering Ilir Regency in March to May 2017. The research method used is qualitative methods. While the sampling method used is simple random Purposive sampling will 28 samples of palm oil farmer. So the sample studied from members of the population as a whole that is as much as 28 oil palm farmers. Data collection methods used are interviews and observation methods. The data collected consists of primary data and secondary data. Method of processing and analysis of data used is using descriptive analysis method with qualitative approach. The results showed that agricultural extension facilities used extension workers are motorcycles, aids and props. Infrastructure that is not yet supported is not yet all extension workers get a service house near the location of counseling, Distance taken by agricultural extension workers in carrying out their duties is about 3 km for the location of the activities of the farmer's house and about 5 km for the location of agricultural gardens. Farmer's response to the organik fertilizer extension activiti b using cattle manure for oil palm plantation with total score or 47,50 which means getting high score.  ABSTRAK Penelitian ini bertujuan Untuk mengetahui kendala yang dihadapi penyuluh dalam memberikan penyuluhan pertanian di Sukasari Kecamatan Mesuji Raya Kabupaten Ogan Komering Ilir dan Untuk mengetahui tanggapan petani terhadap pelaksanaan penyuluhan pertanian di Desa Sukasari Kecamatan Mesuji Raya Kabupaten Ogan Komering Ilir. Penelitian ini dilaksanakan di Desa Sukasari Kecamatan Mesuji Raya Kabupaten Ogan Komering Ilir pada bulan Maret sampai dengan bulan Mei 2017. Metode penelitian yang digunakan adalah metode penelitian kualitatif. Sedangkan metode penarikan contoh yang digunakan adalah acak sederhana Purposive sampling dengan anggota populasi sebanyak 28. Maka sampel yang diteliti dari anggota populasi secara keseluruhan yaitu sebanyak 28 petani kelapa sawit. Metode pengumpulan data yang digunakan adalah wawancara dan observasi. Data yang dikumpulkan terdiri dari data primer dan data sekunder. Metode pengolahan dan analisis data yang digunakan yaitu menggunakan metode analisis diskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukan bahwa Sarana penyuluhan pertanian yang digunakan penyuluh adalah sepeda motor, alat bantu dan alat peraga. Prasarana yang yang belum mendukung adalah belum semua penyuluh mendapatkan rumah dinas di dekat lokasi penyuluhan, Jarak yang ditempuh penyuluh pertanian dalam melaksanakan tugasnya adalah sekitar 3 km untuk kelokasi kegiatan dari rumah petani dan sekitar 5 km untuk lokasi kebun pertanian. Tanggapan petani terhadap kegitan penyuluhan pertanian pupuk organik dengan menggunakan kotoran ternak untuk tanaman kelapa sawit dengan jumlah keseluruhan skornya 47.5 yang artinya memperoleh nilai tinggi.  

scholarly journals Kelimpahan Bakteri Vibrio sp. Pada Air Pembesaran Udang Vannamei (Litopenaeus vannamei) Sebagai Deteksi Dini Serangan Penyakit Vibriosis [The Abundance Of Vibrio sp. Bacteria On Enlargement Water Of Litopenaeus vannamei As The Early Detection Of Vibriosis]

2019 ◽  
Vol 4 (2) ◽  
pp. 128
Author(s):  
Adnan Kharisma, Abdul Manan
Keyword(s):  
Early Detection ◽  
Litopenaeus Vannamei ◽  
Water Samples ◽  
Culture Media ◽  
Animal Health ◽  
Secondary Data ◽  
Minimum Threshold ◽  
Shrimp Culture ◽  
Number Of Bacteria ◽  
Monitoring Activity

Abstract The abundance of bacteria is an activity that aims to determine the distribution and the abundance of bacteria in a water area, so an effort to control and prevent against these bacteria can be made to avoid it’s wide spread. The function of this monitoring activities is for an early detection of animal health conditions that is the white leg shrimp due to bacterial attack. Given the importance of health level in the cultivation of white leg shrimp, then the monitoring activity in bacterial abundance should be done because the number of bacteria found in aquatic environments shouldn’t exceed the minimum threshold number of bacteria that is 104 CFU/ml. The purpose of this study case is to know the abundance of Vibrio sp. on white leg shrimp water augmentation. Because the Vibrio sp. bacteria is known as the opportunistic pathogen of white leg shrimp, which can cause disease if the environmental conditions are bad. Working methods used is descriptive method of data collection techniques include primary and secondary data. The stage of the monitoring activity include: (1) Preparation phase which includes the preparation of equipment and materials and sterilization equipment and media. (2) Phase of making trisalt solvent and bacterial culture media. (3) Phase of retrieval and delivery the water samples. (4) Phase planting the water samples. (5) Phase counting the bacteria. (6) Interpretation the results of the calculation. Based on the results of monitoring the abundance of bacteria in white leg shrimp water augmentation activity, the conclusion is the abundance of Vibrio sp. on white leg shrimp water augmentation has exceeds the minimum threshold number of bacteria that is 104 CFU/ml, so the white leg shrimp culture is susceptible againts these Vibriosis disease.

Early detection system using low-dose CT lung cancer screening and related SNP information

2021 ◽  
Author(s):  
Yuta Azuma ◽  
Yoshiki Kawata ◽  
Noboru Niki ◽  
Issei Imoto ◽  
Masahiko Kusumoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Early Detection ◽  
Low Dose ◽  
Detection System ◽  
Lung Cancer Screening ◽  
Low Dose Ct

Machine Learning Based Early Detection System of Cardiac Arrest

2019 ◽  
Author(s):  
Ji-Han Liu ◽  
Hsiao-Ko Chang ◽  
Cheng-Tse Wu ◽  
Wee Shin Lim ◽  
Hui-Chih Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiac Arrest ◽  
Early Detection ◽  
Detection System

scholarly journals PENGARUH PERTUMBUHAN EKONOMI DAN PAD TERHADAP KUALITAS PEMBANGUNAN SUMBER DAYA MANUSIA DAN TINGKAT KEMISKINAN

2019 ◽  
pp. 873
Author(s):  
Teguh Khalid Billady ◽  
A. A. I. N. Marhaeni
Keyword(s):  
Economic Growth ◽  
Human Resource Development ◽  
Human Resource ◽  
Secondary Data ◽  
Resource Development ◽  
Observation Methods ◽  
Analysis Technique ◽  
Poverty Levels ◽  
Collection Methods

The aim in this study is to determine the effect of economic growth and local regional revenue on the quality of human resource development and poverty levels, and to determine the effect of economic growth and local regional revenue on poverty levels through the quality of human resource development in districts / cities Bali province. Data collection methods used in this study are observation methods and use secondary data. The analysis technique used is path analysis. The results showed that economic growth and local regional revenue had a positive and significant effect on the quality of human resources and economic growth and local regional negative and significant affected the level of poverty and economic growth and local regional revenue had a negative and significant influence on the level poverty through the quality of human resource development in the districts / cities of the Province of Bali.

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