Implementasi Deteksi dan Pengenalan Wajah pada Sistem Ujian Online Menggunakan Metode Deep Learning Berbasis Raspberry Pi

Penelitian ini bertujuan untuk mengembangkan sistem yang secara otomatis dapat mengenali peserta dalam tes berbasis online untuk efisiensi waktu dan biaya. Sistem ini terdiri dari Raspberry Pi untuk menjalankan algoritma pengenalan wajah, Kamera Pi untuk menangkap gambar peserta dan server lokal untuk menyimpan data peserta. Pada tahap awal penelitian, dibangun sebuah dataset yang berisi foto terbaru peserta dan id peserta. Dataset ini kemudian digunakan dalam proses pembelajaran menggunakan algoritma haarcascade yang merupakan bagian dari metode deep learning untuk menghasilkan sebuah model. Pada tahap pengenalan, gambar peserta dibandingkan dengan model. Peserta yang berhasil dikenali akan secara otomatis dialokasikan ke komputer yang tersedia. Pengujian menunjukkan bahwa sistem berhasil mengenali peserta tes dan yang bukan peserta tes

Penentuan Prioritas pada Jaringan Back-bone Palapa Ring Menggunakan Derajat Node dan Cut Vertex

Palapa Ring is a project aiming to connect provinces and cities in Indonesia via a high data speed telecommunication path. The purpose of this  research is to identify the priority scale of each node in Palapa Ring Backbone network by considering the degree of each node and the cut vertices of the network. The result shows that the existing infrastructure in Palapa Ring comprised 48 nodes and 117 links. The nodes with the highest degree in the network were PBR, PTK, BJM, JK, SB and UP, with each of the nodes was connected to four links. Cut vertices in the network consisted of 22 nodes. The nodes in the network are classified into 4 categories. Five nodes (PBR, PTK, BJM, SB and UP) fell into the 1st priority group, two nodes (JK,MDN) fell into the 2nd priority group, 16 nodes fell into the 3rd priority group and the rest fell into the non priority group

Emulasi Aplikasi Pemantauan Ruangan Melalui Handphone Menggunakan Webcam

This paper describes implementation of GPRS and Java 2 Micro Edition (J2ME) technology in room monitoring application via mobile phone and webcam. The webcam, which is connected to a server, captures picture periodically. A mobile phone, which has GPRS feature and supports J2ME technology, is used to access the picture. Experiments were done using Nokia 3300 emulator in a local area network. The transfer rate time for a 36 KB picture is 0.9 second.The experiment's result shows that the system is only suitable for low frame rate room monitoring

DISAIN SISTEM PENGINDERAAN LEVEL INTENSITAS CURAH HUJAN BERBASIS MINICOMPUTER

Intensitas curah hujan mempunyai peran yang penting bagi pertanian di Indonesia, terutama pada daerah-daerah potensial lahan kering. Penelitian ini bertujuan membangun sebuah sistem yang dapat memonitor curah hujan dan melaporkannya secara otomatis ke sebuah komputer server yang daoat diakses oleh setiap pihak yang membutuhkan. Protoype sistem yang dibangun terdiri dari sensor ultrasonic dan minicomputer Raspberry Pi 3 mode B+ yang terhubung ke jaringan internet. Raspberry Pi mengakses sensor ultrasonic untuk membaca level ketinggian air pada wadah penampung curah hujan secara berkala, mengolahnya untuk mendapatkan data curah hujan dan menyimpan data tersebut dalam sebuah database. Sebuah server pusat bertugas untuk mengumpulkan data curah hujan dari setiap titik pengambilan sampel. Publik dapat mengakses data sensing dari tiap wilayah menggunakan teknologi website

Antiinflammatory therapy with canakinumab for atherosclerotic disease

BACKGROUND: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. METHODS: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P=0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P=0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P=0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P=0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P=0.31). CONCLUSIONS: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering

Teaching Africa and international studies: Forum introduction

Africa has often been defined and represented by outsiders. In International Studies, the continent is frequently viewed as peripheral and uninteresting. This is clearly a problem, and an increasingly apparent one as the number of courses on Africa and IS grow, both in Africa and beyond. Many academics who run these courses are keen to challenge the continent’s traditional marginalisation and perceived dependency, but they are limited by the resources available to them, and the fact that many are establishing new courses from scratch. This article outlines some of the key debates around teaching Africa and IS, setting the scene for the articles that follow

On Identifying the Optimal Number of Population Clusters via the Deviance Information Criterion

Inferring population structure using Bayesian clustering programs often requires a priori specification of the number of subpopulations, , from which the sample has been drawn. Here, we explore the utility of a common Bayesian model selection criterion, the Deviance Information Criterion (DIC), for estimating . We evaluate the accuracy of DIC, as well as other popular approaches, on datasets generated by coalescent simulations under various demographic scenarios. We find that DIC outperforms competing methods in many genetic contexts, validating its application in assessing population structure

Step-by-step diagnosis and management of the nocebo/drucebo effect in statin-associated muscle symptoms patients: a position paper from the International Lipid Expert Panel (ILEP)

Statin intolerance is a clinical syndrome whereby adverse effects (AEs) associated with statin therapy [most commonly statin-associated muscle symptoms (SAMS)] result in the discontinuation of therapy and consequently increase the risk of adverse cardiovascular outcomes. However, complete statin intolerance occurs in only a small minority of treated patients (estimated prevalence of only 3-5%). Many perceived AEs are misattributed (e.g. physical musculoskeletal injury and inflammatory myopathies), and subjective symptoms occur as a result of the fact that patients expect them to do so when taking medicines (the nocebo/drucebo effect)-what might be truth even for over 50% of all patients with muscle weakness/pain. Clear guidance is necessary to enable the optimal management of plasma in real-world clinical practice in patients who experience subjective AEs. In this Position Paper of the International Lipid Expert Panel (ILEP), we present a step-by-step patient-centred approach to the identification and management of SAMS with a particular focus on strategies to prevent and manage the nocebo/drucebo effect and to improve long-term compliance with lipid-lowering therapy