Pengaruh Kurs Dollar Amerika, Cadangan Devisa dan Produk Domestik Bruto terhadap Impor Makanan dan Minuman di Indonesia

Indonesia is a developing country where the industrial sector has not been able to meet all domestic demand, especially in commodity food and drinks. Classical theory by David Ricardo stated that a country would benefit from International trade if the product specialization and exporting goods in which the country can produce relatively more productive as well, where the country\u27s imported goods relatively less productive or unproductive, with this consideration, Indonesia entry in International trade. This study aimed to analyze the influence of the US dollar exchange rate, foreign exchange reserves and gross domestic products imultaneously and partially to the value of imports of food and drinks in Indonesia in 1993-2012, and analysis techniques used are multiple linear regression analysis technique. The results of the data analysis F test showed that the US dollar exchange rate, foreign exchange reserves and gross domestic product an effect simultaneously to the value of imports of food and drinks in Indonesia in 1993-2012. The result of partial test (t) which indicates, the US dollar exchange rate variable negative and significant, variable Foreign Exchange Reserves positive and significant and gross domestic product has no effect on imports of food and drinks in Indonesia in 1993-2012

Karakteristik Sosial Ekonomi Kepala Rumah Tangga di Perumahan Permata Biru Tahun 2015

This study aimed to obtain the information related the socio-economic characteristics of household heads of the Permata Biru Recidential, Wards and District Sukarame, Bandar Lampung 2015. This research uses descriptive method with respondents as many as 66 people.The results showed: 100% age of the respondents belong to the age at the age of 27-46 years, the average respondent worked as a trader as many as 42%, a relatively high level of formal education is as much as 52% of respondents and vocational high school graduates, income level classified high at USD 2.0515 million, - per month, 89% of households of respondents classified in the small household, and 52% of respondent households have relatively high spending above the average expenditure -rata ie,> Rp 1.649 million, - per month.Penelitian ini bertujuan untuk mendapatkan informasi mengenai karakteristik sosial ekonomi kepala rumah tangga di Perumahan Permata Biru, Kelurahan Sukarame, Kecamatan Sukarame, Kota Bandar Lampung Tahun 2015. Penelitian ini menggunakan metode penelitian deskriptif dengan responden sebanyak 66 orang. Hasil penelitian ini menunjukkan : 100% usia responden tergolong dalam usia produktif, rata-rata responden berprofesi sebagai pedagang yaitu sebanyak 42%, rata-rata tingkat pendidikan formal responden tergolong tinggi yaitu sebanyak 52%, tingkat pendapatan tergolong tinggi yaitu sebesar Rp 2.051.500,- perbulan, 89% rumah tangga responden digolongkan dalam rumah tangga kecil, dan pengeluaran rumah tangga responden tergolong tinggi

Analisis Performansi TCP-Friendly Multicast Congestion Control<br>Performance Analysis of TCP-Friendly Multicast Congestion Control

ABSTRAKSI: Perkembangan protokol saat ini sangat membantu dalam komunikasi jaringan khususnya jaringan komputer. Salah satunya adalah protokol TCP-Friendly. Protokol ini perkembangan dari protokol TCP. Protokol ini dalam pengiriman paket datanya menggunakan konsep grouping. Konsep grouping ini dapat mengirimkan data ke banyak penerima secara multicast. Dengan kemajuan perkembangan protokol TCP-Friendly ini, sangat bermanfaat bagi efisiensi waktu pengiriman paket data dalam jaringan.Dalam pelaksanaannya, salah satu masalah yang terjadi dalam pengiriman paket data dengan protokol TCP-Friendly secara multicast adalah congestion. Congestion adalah keadaan dimana terjadinya penggunaan resource jaringan secara berlebihan yang menyebabkan penuhnya antrian di router pada jaringan. Tentunya hal ini sangat berdampak signifikan terhadap pengiriman paket data dalam jaringan. Untuk menanganinya diperlukan mekanisasi pengontrolan kongesti pada transmisi multicast untuk menciptakan lingkungan jaringan yang baik ,yaitu TCP-Friendly Multicast Congestion Control (TFMCC).Pada Tugas Akhir ini, dilakukan penerapan pengujian performansi congestion control. Hal ini meliputi : end to end delay, end throughput, dan packet loss rate. Parameter performansi tersebut akan diuji dengan TFMCC dan TCP. Analisis performansi dilakukan pada simulasi jaringan TCP-Friendly Multicast dengan single sender dan single bottleneck router dengan menggunakan simulator yaitu, Network Simulator versi 2.34. pada saat simulasi dilakukan mekanisme TFMCC dan TCP sebagai pembanding uji performansi (end to end delay, end throughput, dan packet loss rate). Dari hasil simulasi, TFMCC lebih baik daripada TCP karena memiliki end to end delay yang lebih besar, end throughput yang lebih kecil, dan packet loss rate yang lebih besar.Kata Kunci : TFMCC, end to end delay, end throughout, packet loss rate, congestion control, TCP.ABSTRACT: The development of protocol lately has been a great help to network communication in general and especially computer network. One of the results of protocol development is known as TCP-Friendly protocol. This type of protocol is a product of TCP protocol enhancement. This protocol makes us of grouping concept when sending the data package. This grouping concept is a concept of sending data to multiple recipients/clients in a multicast way. This concept is found to be an extremely efficient manner of sending data package through the network.In its practice, a problem occurring within the multicast data sending with TCP-Friendly protocol is identified as congestion. Congestion is defined as a state where certain network resource is used excessively that causes a long traffic queue within the router in the network. This will give a significant impact to the data package sending in the network being concerned. In order to overcome this problem, congestion control is badly needed. Because of that, congestion control mekanism on multicast transmision is needed to create a good network , this mekanism called TCP-Friendly Multicast Congestion Control (TFMCC) .In this present study, a test of congestion control performance is conducted. This control comprises: End to end delay, End throughput, and packet loss rate. The parameter of the performance will be assessed using TFMCC and TCP. The performance analysis is then accomplished in a network simulation of TCP-Friendly Multicast with single sender and single bottleneck router using a simulator called Network Simulator version 2.34. TFMCC and TCP during simulation are operated to compare their performances (end to end delay, end throughput, and packet loss rate). From simulation, gained TFMCC is better than TCP, because TFMCC has higher end to end delay, lower end throughput, and higher packet loss rate.Keyword: TFMCC, end to end delay, end throughput, packet loss rate, congestion control

AN ANALYSIS OF ILLOCUTIONARY ACTS USED BY THE CHARACTERS FOUND IN AFTER MOVIE

This research aimed about the types of illocutionary acts found in After movie. The researcher used the theory from Searle (1976) in order to find out the types of illocutionary acts. Meanwhile, to analyze the meaning based on the context of situation, the researcher used the theory from Halliday and Hassan (1985). The main data source of this study is After movie. Observation method and note taking technique are used in this study to collect the data. This study used descriptive qualitative method in analyzing the types of illocutionary acts and the meaning based on the context of situation. In this research there are 27 data were found in After movie. All the types of illocutionary acts were found in this research which are Assertive, Directive, Commissive, Expressive and Declarative. The meaning of illocutionary acts supported by the context of situation which are Field, Tenor and Mode. Keywords: Illocutionary acts, Characters, Meaning, Movi

Arthroscopic posterior-inferior capsular release in the treatment of overhead athlete with GHIRD: a case report

Glenohumeral internal rotation deficit (GHIRD) is one of most controversial joint diseases in terms of diagnosis and treatment. The use of arthroscopy has improved the recognition of pathologic findings in glenohumeral internal rotation deficit (GHIRD) and allowed a better understanding of the etiology of it and the correlation between symptoms and lesion patterns. We present our technique for arthroscopic posterior-inferior capsular release in athlete with symptomatic glenohumeral internal rotation deficit (GIRD) that was unresponsive to nonoperative treatment and was preventing him from returning to sport. By this technique resulted in a successful outcome. We evaluate a 28 years old male with right shoulder pain and limitation in abduction internanal rotation after 3 months conservative treatment. We performed Arthrospcopic posterior-inferior capsular release. After 2 months correspondingly, we performed follow-up assessments on shoulder function (using the ases and rowe score) and pain (using a visual analogue scale) were made. Arthroscopic posterior-inferior capsular release can be recommended as a reasonable operative solution for overhead athletes with symptomatic GIRD that has not responden to conservative management. Evaluation of patient in whom we performed arthroscopic repair base on ases and rowe score. Arthroscopic posterior-inferior capsular release showed satisfactory shoulder function after 2 months follow up correspondingly

A Forest of Possibilities: Decision Trees and Beyond

Decision trees are fundamental in machine learning due to their interpretability and versatility. They are hierarchical structures used for classification and regression tasks, making decisions by recursively splitting data based on features. This abstract explores decision tree algorithms, tree construction, pruning to prevent overfitting, and ensemble methods like Random Forests. Additionally, it covers handling categorical data, imbalanced datasets, missing values, and hyperparameter tuning. Decision trees are valuable for feature selection and model interpretability. However, they have drawbacks, such as overfitting and sensitivity to data variations. Nevertheless, they find applications in fields like finance, medicine, and natural language processing, making them a critical topic in machine learning