The Analysis of Women and Men Language Features on America’s Got Talent

The purpose of this study are: 1) To find out the female language features of female judges in America's Got Talent 2018: and 2) To find out the male language features of the male judges in America's Got Talent 2018. This research is a qualitative descriptive study. The methods and data collection techniques used in this study are the simak method that uses the sadap technique with the advanced techniques of simak bebas libat cakap and the catat technique. Data is taken from America’s Got Talent video. The data analysis method and technique used is the padan method with the pilah unsur penentu technique with daya pilah sebagai pembeda referent. The results of data analysis are then presented descriptively. As the result, there are six female language features used by female judges in America's Got Talent, namely lexical hedges, rising intonation on declarative, empty adjectives, intensiers, superpolite forms, and emphatic stress. There are three male language features used by male judges in America's Got Talent, namely direct forms, interrupt, and swear words

Klasifikasi Habitat Bentik Berdasarkan Citra Sentinel-2 di Kepulauan Kei, Maluku Tenggara

Imagery classification has long been used in analyzing remote sensing data. The use of the classification algorithm model can affect the results in interpreting benthic habitats in shallow water. This study aimed to determine the best classification algorithm model for mapping benthic habitat cover through Sentinel-2 satellite imagery. Three algorithm models were employed: Maximum Likelihood Classification (MLC), Minimum Distance Classification (MDC), and Mahalanobis Distance Classification (MaDC). The benthic habitat types were extracted using Lyzenga correction, giving three categories: coral, seagrass, and sand. The results showed that the application algorithm models of the MLC, MDC, and MaDC on the benthic habitat mapping resulted in an accuracy value that was not significantly different at the 95% confidence interval. However, of the three algorithms used, the MaDC algorithm provides the best results in overall accuracy (78.35%) than the MDC (74.45%) and the MLC (74.33%). It shows that the MaDC algorithm can be referred to as the mapped benthic habitat cover in the Kei Islands. However, this algorithm model needs to be continuously studied and compared to other models in other locations.   Keywords: benthic, habitat classification, Kei Islands, sentine

A 3-dimensional computational fluid-structure interaction analysis in the hip-joint prosthesis during solat (prayer) activity

Artificial hip joint (AHJ) hailed as the current best solution to solve the damage hip joint issues that can lead to permanent disability. This study investigates the performance of artificial hip joint during the salat activity under seven salat position loading condition by introducing the existence of non-Newtonian synovial fluid and analyzed with two-way FSI methods. Based on the result, the amount of hydrodynamic pressure is affected by the external and internal rotation (z-axis) position. The external position enhances the hydrodynamic pressure value, while the internal position reduces the hydrodynamic pressure value. Meanwhile, the maximum equivalent stress on the inner liner under all salat position is insignificant to the elastic modulus of the Ultra-high-molecular-weight polyethylene (UHMWPE) therefore the artificial hip joint is statically safe to perform salat. Finally, the amount of load support is insufficient to prevent the direct contact between the femoral head and inner liner. Thus, the design modification is necessary to provide the sufficient value of load support on the artificial joint

PEMBERDAYAAN MASYARAKAT BERBASIS AGROINDUSTRI DI KABUPATEN TANJUNG JABUNG TIMUR MELALUI KKN KEBANGSAAN TAHUN 2021, UNIVERSITAS BENGKULU

KKN Kebangsaan merupakan kegiatan tahunan yang disepakati okeh perguruan-perguruan tinggi se-Indonesia dalam rangka memberikan pelatihan dan pembelajaran bagi mahasiswanya. KKN sebagai bagian dari kegiatan ekstrakurikuler bagi mahasiswa program S1 dilaksanakan dalam bentuk pengintegrasian antara kegiatan-kegiatan Pendidikan dan Pengajaran, Penelitian serta Pengabdian kepada Masyarakat secara interdisipliner. Kegiatan KKN Kebangsaan tahun 2021 dilaksanakan di Kabupaten Tanjung Jabung Timur Provinsi Jambi. Kawasan Tanjung Jabung Timur memiliki potensi untuk dikembangkan sebagai kawasan pertanian, perkebunan, dan pariwisata. Sesuai dengan kondisi geografis serta kemasyarakatan di Kabupaten Tanjung Jabung Timur, KKN Kebangsaan tahun 2021 di Provinsi Jambi mengusung tema, “Membangkitkan Nilai-Nilai Kebangsaan dan Kebersamaan Melalui Pemberdayaan Masyarakat Berbasis Agroindustry”. Beberapa program kerja tersebut diantaranya pembuatan taman wisata mangrove, pembuatan permen nanas, pembuatan dodol dari bonggol pisang, Pembuatan rumah pembibitan pisang unggul, dan pengelolaan sampah anorganik di TPA menjadi kursi melalui metode ecobcrick. Hasilnya seluruh rancangan program kerja tersebut berhasil dilaksanakan selama masa KKN mahasiswa. AGROINDUSTRY BASED COMMUNITY EMPOWERMENT IN TANJUNG JABUNG TIMUR REGENCY THROUGH KKN KEBANGSAAN IN 2021, UNIVERSITY OF BENGKULU. KKN Nationality is an annual activity agreed by universities throughout Indonesia in order to provide training and learning for their students. The KKN as part of extracurricular activities for undergraduate students is carried out in the form of integration between Education, Teaching, Research and Community Service activities in an interdisciplinary manner. The 2021 KKN Nationality held in Tanjung Jabung Timur Regency, Jambi Province. The Tanjung Jabung Timur area has the potential to be developed as an agricultural, plantation and tourism area. In accordance with the geographical and social conditions in Tanjung Jabung Timur Regency, the 2021 KKN Nationality Program in Jambi Province carries the theme, "Generating National Values and Togetherness through Agroindustry-Based Community Empowerment". Some of these work programs include the creation of a mangrove tourism park, the manufacture of pineapple candy, the manufacture of lunkhead from banana weeds, the manufacture of superior banana nurseries, and the management of inorganic waste in the landfill into chairs through the ecobcrick method. As a result, all of the work program designs were successfully implemented during the student KKN period

Seribu islands in the megacities of Jakarta on the frontlines of the climate crisis

Jakarta, the biggest city in Indonesia, has one district that consists of hundreds of islands that face severe climate hazards called the Seribu Islands complex. This study explores the evidence of local climate trends, the potential impact, and its policy intervention on Seribu Islands, which are classified as small island states and widely recognized as being especially at risk from climate change, threatening their economic and social growth. Long-term in-situ climate data, satellite data, interviews with local stakeholders, and literature reviews were utilized to conduct an exploratory descriptive analysis. The result revealed that Seribu Island experienced a 2.2°C increase in minimum temperature from 1980 until 2021, 3.5-fold of the frequency of extreme temperature and precipitation, 4.17 mm/year of sea level rise, and 10.8 ha land expansion in the densest island. Moreover, about 67% of the inhabitant’s islands were occupied by built-up areas that cover more than 50% of the region. Further, under the worst-case SLR scenario, about 58.4% of the area will be affected, and about 29 islands will disappear. This evidence was also reinforced by every single local respondent’s viewpoint who felt that climate change is occurring in the region. Even though the region faces a severe threat of climate change, the issue of climate change adaptation has not been mainstreamed yet into their local policy. Therefore, the urgency of a real-time climate ground station, a real-time early warning system, and establishing a Regional Disaster Management Agency (BPBD) at the district level have yet to be addressed. Furthermore, the knowledge gained from such case studies is outlined, along with some scientific evidence that may assist small island states in better fostering the opportunities provided by climate change adaptation

Perancangan embedded web server berbasis mikrokontroler ATMEGA168 dengan kontroler ethernet ENC26J60

Informations is an important thing that can support any kind of human activities.A lot of technology has being created to solve any problems inside that, such as computer and internet. Internet is a technology that provides any information service rapidly. Hoever, to provide any information services that based on the internet is require a computer as a web server, but the price of the price of the computer itself can be said relatively expensive. In these research will explain the detail of making an embedded web server. Of course it can be an alternate solution related to the highly of the computer price

KAJIAN SPASIAL KERUSAKAN EKOSISTEM TERUMBU KARANG UNTUK PENGELOLAAN LINGKUNGAN DI TELUK JAKARTA

Covering an area of 58% of coral reefs in the world and more than 80% in Southeast Asia has threatened by various human activities. Human activities that threaten the coral reefs include coastal development, marine pollution, destructive fishing, and inland pollution/sedimentation. Coral reefs in Jakarta Bay as the gateway to the State Capital are threatened also by such human activities. Therefore, there should be good environmental management efforts to maintain and preserve it. Spatial analysis can provide a picture of the region as a whole (holistic), so it can be used in the environmental management efforts. This research aims to develop spatial databases prototype, determine the level of human activity threats on coral reefs as well as the damage, and determine the strategy of environmental management in Jakarta Bay. The method used in this study is the spatial ecological approach with Geographic Information System (GIS) modeling. �Reef at Risk� model that developed by World Resources Institute with some modifications used to assess the levels of threat to coral reefs. Environmental management strategies of coral reefs in Jakarta Bay determined by considering the levels of human activities threat, the condition/health of coral reefs, waters suitability for coral reefs, as well as socio-economic conditions of society. The results of this study are: 1) Prototype of the spatial database of coral reefs environment in Jakarta Bay, 2) The threat levels of human activities to coral reef in the Jakarta Bay has �medium� and �high� category. The percentage area of coral reefs in each category are 33.07% and 66.93%, 3) The analysis of coral reefs damage by considering the condition of coral reefs and threats from human activities, produced two risk classes of coral reefs damage in Jakarta Bay, the classes are �medium risk� and �high risk�. The percentage area of coral reefs in each classes are 60.69% and 39.31%, 4) Based on spatial analysis, the study area can be divided into three management areas that focused on efforts to public awareness, improved surveillance, recovery, utilization, and restraint

Pemetaan Batimetri di Perairan Dangkalmenggunakan Data Penginderaan Jauh Spot-7 (Studi Kasus Lembar-Lombok)

Keunggulan memanfaatkan inderaja untuk pemetaan batimetri yang lebih efektif dan efisien dibanding metode lainnya. Batimetri juga termasuk kedalam suatu sistem dinamis yang rentan akan perubahan, sehingga teknologi inderaja merupakan solusi alternatif yang tepat secara tepat dan berkala untuk merevisi peat batimetri yang ada. Penelitian ini bertujuan untuk memetakan batimetri perairan dangkal Lembar Lombok, menggunakan citra Spot-7 dengan mengaplikasikan metode Water Depth Relatif algoritma Stumpf & Holderied (2003). Salah satu ketentuan teknis yang berlaku internasional yaitu ketentuan IHO (International Hydrographic Organization) dalam publication-C13 yaitu metode Kontrol kualitas terhadap data batimetri, agar diketahui sejauh mana kualitas data batimetri tersebut. Kontrol kualitas data batimetri adalah suatu prosedur untuk memastikan bahwa produk telah memenuhi suatu standar survei hidrografi dan spesifikasi yang ditetapkan. Nilai orde yaitu 67% orde khusus, 0% orde 1A/1B, 0% orde 2 dan tidak masuk 32%. Nilai kedalaman yang dipakai adalah nilai kedalaman hasil dari persamaaan regresi terbaik yang dilihat dari nilai koefisien determinasi, koefisien korelasi dan nilai RMS error. Uji akurasi model Relatif Water Depth menghasilkan nilai R2 sebesar 0,4696, R sebesar 0,6853 dan RMSE 2,055377848. Tingkat akurasi peta batimetri hasil estimasi mencapai 78,77%

Malware Detection on Local Network based on Honeypot and Yara

The malware threats have never subsided, even the trend shows an increase and varies along with the development of hardware and software technology. End user may not realize if their machine is compromised by malware. It could be the anti-malware mechanism is not working properly, such as the anti-virus is not updated or there is a zero-day attack. Therefore, it is necessary to detect the presence of malware on  end-systems devices or  the existence of zero-day attack in the local network. Implementation of honeypot as a security sensor that collects malware attack data in the form of malware files and malware hashes can be used as signatures for scanning and detecting malware. This research utilizes a honeypot as a security sensor to catching malware. The malware hash from the honeypot is used to scanning and detecting the presence of malware on the end-system in a local network such as a PC or server. Furthermore, Yara helps clarify the type of malware found by scanning suspected files. The results of scanning and detecting of malware by Yara will be reported to the appropriate authorities via Telegram application channles. This research contributes by providing early warning of potential security threats to the network and collecting hash code of recently malware attacking to the network.Keywords: Honeypot, Malware, Yara, Proactive Security