bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Classification using Advanced CNN Based on Tensorflow
Authors: Garchar Vipul , Chudhary Sanjay
Published: November 2020

In this Exploration study picture distinguishing pieces of proof will be finished by the assistance of Cutting edge CNN (Convolutional Neural Organizations with Tensorflow Structure. Here we use Python as a fundamental programming language on the grounds that Tensorflow is a python library. In this examination input information essentially centers around Plants classes by the assistance of leaves for recognizable pieces of proof. Choosing CNN is the best methodology for the preparation and testing information since it produces promising and constantly improving outcomes on computerized plant IDs. Here outcomes are separated as far as exactness and time. Utilizing progressed CNN results are above 95% while on others precision is underneath 90% and taking a lot of time than this.
A Survey on Deep Reinforcement Learning Network for Traffic Light Cycle Control
Authors: Indhumathi V. , Kumar K.
Published: November 2020

A Traffic signal control is a challenging problem and to minimize the travel time of vehicles by coordinating their movements at the road intersections. In recent years traffic signal control systems have on over simplified information and rule-based methods and we have large amounts of data, more computing power and advanced methods to drive the development of intelligent transportation. An intelligent transport system to use the machine learning methods likes reinforcement learning and to explain the acknowledged transportation approaches and a list of recent literature in traffic signal control. In this survey can foster interdisciplinary research on this important topic.
A Study of Information Technology in Airlines
Authors: Sarkar Punyaslok , Dutta Debasish
Published: November 2020

This is a study of information technology within a company and how it works and its structure. In this case, it’s a airlines company called Air India and how IT helps in running the different flights around the world.
Protein Structure Classification Based on Distance Feature
Authors: Degadwala Sheshang , Vyas Dhairya , S Dave Harsh
Published: November 2020

In Bioinformatics field Protein Structure Classification is the hugest undertaking. The realized proteins have been requested subject to their level, feature, work, amino destructive and family and superfamily. Protein structure segregated into four sorts: all ? protein structure, all ? protein structure, ?+? protein structure, and ?/? protein structure. The use of a standard way to deal with perform plan is a very inconvenient and dreary task. The quantity of cutting edge Machine Intelligence enrolling strategies such Support Vector Machine, Random Forest, Artificial Neural Network, Decision Tree and Naïve Bayes Classifier had been proposed in the composition. Our objective right currently is to develop a system that performs better than anything past markers for protein structure gathering by thinking about the separation among the distinctive Amino Acid buildups. To take a gander at the display of proposed work particular datasets are used.
Comparison between Flat and Hierarchical Routing Protocols in Wireless Sensor Network
Authors: Mamta Ms
Published: November 2020

Wireless Sensor Network (WSN) has delivered the accessibility of small, tiny and low cost sensor nodes which are capable to sense various kinds of physical and environmental conditions, data processing, wireless communication and data gathering. In wireless sensor network routing protocols can be divided into two categories first is flat routing protocol and another is hierarchical routing protocol. In this paper flat and hierarchical routing protocols are evaluated and compared based on various performance parameters. In the last decade we have seen expanded enthusiasm for the potential utilization of remote wireless sensor systems (WSNs) in an extensive change of uses and it has turned into a unique research zone. So finally, in this research paper we are focusing on two different classes of routing protocols in WSN: flat routing and hierarchical or clustering routing.
Research on Smart Shopping Cart
Authors: C Roopa , Chandra Reddy Nivas
Published: November 2020

In metropolitan cities, we will see an enormous rush at shopping malls on holidays and weekends. This becomes, even more, once there are large offers and discounts. Currently folks purchase a spread of things and place them within the trolley, after buying one ought to approach the counter for billing. By employing a barcode reader the cashier prepares the bill that may be a time overwhelming method. This ends up in long queues at the billing counters. This project presents a plan to build up a framework in shopping centers to beat the above issue. To realize this all merchandise within the mall to be equipped with RFID tags and every one trolley should be equipped with an RFID reader and digital display screen. When one puts any item in the trolley its code will be distinguished naturally, the item name and cost will be shown on the LCD, in this manner the expense gets added to the absolute bill. On the off chance that we wish to expel the item from the trolley, you can remove the item and the measure of that particular item gets deducted from the aggregate sum and a similar data goes to the central billing unit through ZigBee module. Subsequently the billing should be possible in the trolley itself accordingly sparing a ton of time to the clients.
Secure Banking Transaction using Encryption Based Negative Password Scheme
Authors: R Abinaya
Published: November 2020

Password authentication is the most widely used authentication technique, for it is available at a low cost and easy to deploy. Many users usually set their passwords using familiar vocabulary for its convenience to remember. Passwords may be leaked from weak systems. Vulnerabilities are continuously being determined, and no longer all systems may be well timed patched to resist attacks, which give adversaries an opportunity to illegally access vulnerable systems. To overcome the vulnerabilities of password attacks, here propose a password authentication framework that is designed for secure password storage and could be easily integrated into existing authentication systems. In our framework, first, the received plain password from a client is hashed through a cryptographic hash function (e.g., SHA-512). Then, the hashed password is randomly shuffled to get a negative password. Finally, the negative password is encrypted into an Encrypted Negative Password using a symmetric-key algorithm RC5, to further improve security. The proposed hash function and encryption methodologies make it difficult to break passwords from ENPs. This proposed ENP system will be implemented for banking environment to improve security of password storage and transaction details.
Spintronics - A Dive Into the Future
Authors: Hussain Shahzeb , Hussain Shaayan
Published: November 2020

We already know that electrons have a charge along with a spin, but until recently, these two have been considered separately. The motion of electric charge is considered as the heart of electronic circuits, and the flow of electron spin plays a crucial role in spintronic circuits. Adding the spin degree of freedom provides new capabilities, new effects, and new functionalities. It all started with the discovery of the Giant Magnetoresistance (GMR) in 1988, which opened the road to an effective control of the motion of the electron charges by focusing on their spin through the orientation of magnetization. Today, spintronics has entered into almost every household as the read sensors for the hard drives present in every desktop and most laptops. Magnetic Random Access Memory (MRAM) and Spin Transfer Torque (STT) RAM are replacing Static RAM where ultra-dense memories are not required. Soon these spintronic memories will penetrate the cell phone market because they offer lower power and are non-volatile. The potential held by Spintronics is very promising for new advancements in science and technology in the 21st century. This paper discusses the evolution of spintronics from the initial research of spin-dependent transport in ferromagnetic materials to the discovery of the giant magnetoresistance and to the most recent advances. Today, this field of research is extending considerably, with very encouraging new technologies like the phenomena of spin transfer, molecular spintronics, nanoscale spintronics, and single-electron spintronics.
Predicting Total Business Sales using Time Series Analysis
Authors: Sri Kalli Navya , Pullagura Harsha Teja
Published: November 2020

aEconomic activity undergoes 4 phases (expansion, peak, contraction, trough/recession) in which recession is a period of lowest activity and peak indicates the highest activity. Total Business sales is one of the key factors that influence the economic activity of a country. Total sales or gross sales is the grand total of all sales revenues a business generates from normal activities. The frequency of time series sales data can be monthly, quarterly, or annually. Prediction of business sales is highly important as it determines various factors in the market including Gross Domestic Product (GDP). The algorithms or models required for prediction of time series data are different from other machine learning models. Since sales is affected by time, a time series data should be stationary. Only when the data is stationarized, we can apply the algorithms on them. In this paper, monthly sales data is collected and predictions are done using moving average, simple exponential smoothing, Holt’s model, ARIMA, and SARIMAX. Root Mean Square(RMS) is the accuracy metric of time series models and lower RMS indicates higher accuracy. In this paper, a lower value of RMS is obtained for the SARIMAX model.
User Opinion based Trust Value Prediction for Online Social Network
Authors: R Abinaya
Published: November 2020

Online social networking has caused profound changes in the way people communicate and interact. Preserving information privacy is indispensable in such social applications as the shared information would be sensitive. The issue becomes more challenging because of participation of multiple parties on the same shared data. Here propose an efficient trust collection based data sharing technique to allow or disallow the shared resources considering the authorization requirements of all the multiple parties. A logical representation of the proposed data sharing technique is prepared to analyze the privacy of data before sharing to public users. A user in this system is associated with a few trusted users that were selected from the user’s friends. When the user wants to share information to the account, the service provider sends information to the user’s trustees. The user must obtain at least k (i.e., recovery threshold) threshold values from the trustees before being directed to public share. Considering that a user continually posts data items in an OSN, here model the threshold selecting problem as a sequential decision-making problem. More specifically, we formulate the problem as a multi-armed bandit problem and apply the upper confidence bound (UCB) policy to solve the problem. This shows that dynamically adjusting the threshold according to the UCB policy can lead to a higher payoff than using a fixed threshold.
Anomaly Detection in Banking Using A Video Surveillance System
Authors: S Saravanan
Published: November 2020

An anomaly detection scheme is proposed for encrypted video bitstream with secure video encryption. Human beings are recognized by their unique facial characteristics. In the present work time based movement and face recognition approach will be implement to detect person in unwanted time.In video sharing , ROI (Region of Interest) extraction can be implement to detect the region to hide. An efficient encryption technique is used to encrypt the extracted region.
Prediction of User Behaviour based Fake Reviews using Semi Supervised Fuzzy based Classification
Authors: Fathimunnisa Sk. , Akram Wasim
Published: November 2020

Online client conduct investigation is a significant territory of examination that empowers various attributes of clients to be contemplated. Online surveys have incredible effect on the present business and trade. Dynamic for acquisition of online items generally relies upon surveys given by the clients. Consequently, entrepreneurial people or gatherings attempt to control item audits for their own advantages. This sort of investigation is performed for a few purposes, for example, discovering clients' inclinations about an item (for showcasing, online business, and so on.) or toward an occasion (races, titles, and so forth.) and watching dubious exercises (security and protection) in light of their qualities over the Internet. In this paper, a Neuron-fuzzy methodology for the arrangement and forecast of client conduct based phony surveys is proposed. A dataset, made out of clients' transient audits related logs containing three sorts of data, in particular, neighborhood machine, system and web use logs, is focused on. To supplement the investigation, every client's audits input is likewise used. Different surveys relate rules have been actualized to address the organization's strategy for deciding the exact conduct of a client as for audits, which could be useful in administrative choices. For expectation, a Gaussian Radial Basis Function Neural Network (GRBF-NN) is prepared dependent on the model set created by a Fuzzy Rule Based System (FRBS) and the 360-degree input of the client’s audits. The outcomes are acquired and contrasted and other best in class plans in the writing and the plan is seen as promising as far as characterization just as forecast precision.
RSA Encryption and Decryption System
Authors: Bansal Neha , Singh Sukhdeep
Published: November 2020

For communication in the wireless networking, transmission of data over network sometimes is not safe. In such case security of network is one of the essential aspect in computer networking. Cryptography is antechnique of transforming an plaindata into encrypted one, and then retransform that encrypted data back to its plain (original) form. In this we authenticate the sender to whom you want to send that data file. There are two different techniques of cryptography, symmetric key cryptography (called public-key cryptography) algorithms and asymmetric key cryptography (called public-key cryptography) algorithms. There are also various algorithms for encrypted data using either public or private key or both. This paper describes RSA algorithm which first convert our data into other form and then encrypt it using RSA public key encryption at sender side & at receiver side, first it authenticate the receiver then decrypt the data/ file and convert into original form.
Statistical Analysis and Prediction of COVID-19 outbreak in India using Machine Learning
Authors: Patel Akshar , Garg Dweepna
Published: November 2020

Coronavirus disease globally known as COVID-19 is triggered by SARS-COV2. It is the predominant cause of an extremely dangerous disease that has bothered global health security. It is proposed that COVID-19 might be zoonotically based on the high number of people exposed in Wuhan City, China, to the wet animal market[1]. COVID-19 is a severe acute respiratory disease, transmitted by respiratory secretions and communication paths, as of WHO reports. The disease is spreading throughout the world at a faster pace. The first instance of COVID-19 was firstly discovered and found in Wuhan, Hubei Province, China in December 2019[1]. This paper analyses the outbreak of this disease until June 22, 2020, for India and other top major affected nations and also predictions were made regarding the number of cases for India over the next 17 days i.e from 23 June 2020 to 9 July 2020. Linear Regression model, Support Vector Machine Regressor (SVM) model, Autoregressive Integrated Moving Average (ARIMA) model and Facebook's Prophet model were used for prediction based on the Kaggle downloaded dataset with data collected from January 22, 2020, to June 22, 2020. By 22 June 2020, the disease has spread across more than 200 countries, reporting 12,322 confirmed cases, 45,26,333 recovered cases and 4,72,171 COVID-19 deaths. Assessment of this epidemic allows the Government to take the appropriate steps to curb the threat of this global pandemic.
A Survey on Web Application Security
Authors: Mairaj Inamdar Danish , Gupta Shyam
Published: November 2020

Web application security has become real concern due to increase in attacks and data breaches. As Application becomes critical, complex and connected, the difficulty of achieving application security increases exponentially. Also there are tools and techniques to detect such attacks, threat and vulnerabilities that exist in application which developer prevent and mitigate the risk associated to it. This paper evaluates various web application attack detection mechanisms and how resistant they are against various attacking techniques. Such an evaluation is important for not only measuring the available attack defense against web application attacks but also identifying gaps to build effective solutions for different defense techniques on web application and use it for study. Based on the research, the limitations of these application attack detection techniques are identified and remedies proposed for improving the current state attack detection on web applications.
Feature extraction and prediction of Dengue Outbreaks
Authors: Parikh Kunal , Makadia Tanvi , Patel Harshil
Published: November 2020

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.
Return Oriented Programming - Exploit Implementation using Pwntools
Authors: Zala Jayesh
Published: November 2020

A common approach to leverage software vulnerabilities in the contemporary operating system has been the Return-Oriented Programming(ROP) attack. Although protection mechanisms are involved in the OS, an attacker may execute arbitrary code with the support of ROP. A decade ago, Return Oriented programming was designed to solve the buffer overflow exploit security mechanisms such as ASLR, DEP (or W?X) by reusing the machine code in the form of gadgets that are stitched together to render a full assault on Turing. And it will take more complex efforts to conduct a Turing complete attack, and very little data is possible to perform it with raw input. Therefore, in this project, we are systematizing the interpretation of the new findings that can be used to carry out a full ROP attack with the help of pwntools python library.
Comprehensive Study on Metaheuristics FADE Based Artificial Bee Colony Optimization Algorithm to Improve Performance of Wireless Networks
Authors: Tiwari Virendra , A. Waoo Akhilesh
Published: November 2020

Over the last few years, it is been experienced wireless sensor networks technologies are grabbing huge attention in almost every aspect of human lives due to its vast coverage in real-life applications. It has emerged as one of the important and very promising technologies with lots of potential from every section due to its importance in wireless information transmission. WSNs due to their useful characteristics are being considered vulnerable to several possible security attacks which may affect the performance of the system. Among these issues, most challenging issues such as sinkhole which is considered as the most dangerous attack in WSN to reduce network performance. It prevents the base station in the process of gathering complete and unmodified data from its source. This work inspired by the integration of FADE and ABC presents a new variant of the metaheuristics fuzzy adaptive differential evolution based optimization algorithm to improve the performance of a wireless sensor network.
Analisis Faktor Kepuasan, Kepercayaan, Komitmen dan Pengaruhnya Terhadap Loyalitas Nasabah Pada Bank BNI Syariah Semarang
Authors: Ariono Imam
Published: November 2020

Ada beberapa faktor yang mempengaruhi loyalitas nasabah, antara lain adalah kepuasan, kepercayaan dan komitmen dari nasabah itu sendiri. Tujuan penelitian ini pertama untuk menganalisis pengaruh variabel bebas yaitu faktor kepuasan (X1), kepercayaan (X2) dan komitmen (X3) nasabah dan pengaruhnya terhadap variabel terikat berupa loyalitas nasabah (Y) pada Bank BNI Syariah Semarang. Kedua, menganalisis seberapa besar (signifikansi) pengaruh variabel-variabel bebas secara parsial terhadap variabel terikat. Ketiga menganalisis seberapa besar (signifikansi) pengaruh variabel-variabel bebas secara simultan terhadap variabel terikat. Hasil uji hipotesis baik parsial maupun simultan menunjukkan bahwa semuanya mendukung hipotesis Ha1 dan Ha2 yang diajukan yaitu faktor kepuasan (X1), kepercayaan (X2) dan komitme (X3) nasabah berpengaruh signifikan baik secara parsial maupun simultan terhadap loyalitas nasabah (Y) pada Bank BNI Syariah Semarang. Hasil analisis juga menunjukkan bahwa kepercayaan (X2) merupakan faktor yang paling mempengaruhi loyalitas nasabah dan tingkat loyalitas nasabah di Bank BNI Syariah Semarang adalah tinggi.
Significancy and Subtancy of Civil Suit Compensation in Corruption Case where the Defendant was Acquitted by Judge
Authors: Alfon Alfon , Suhariningsih Suhariningsih , Sugiri Bambang , Djatmika Prija
Published: November 2020

The spirit of Article 32 paragraph (2) of UU 31 / 1999 jo. UU 20 / 2001 means the country can use its right to a civil action for compensation for financial loss recovery state. The rationale for setting lawsuit replace losses in the article that indicates that in order to restore the country's financial losses due to corruption is not enough only in lean to the norms of criminal law. If the UU 31 / 1999 jo. UU 20/2001 categorized as Criminal Laws, then the regulation of a civil lawsuit in the Law, shows that a Prevailing Law may contain aspects of both criminal law and civil law. The study is the study of law by using the approach of Legislation, conceptual and historical approach. The results were obtained from studies of this are: 1) The specificity handling of corruption judging from the way the settlement; 2) The meaning and essence of civil suit for damages in the enforcement of the law on corruption. The civil lawsuit instrument is intended to maximize the return on state financial losses, because criminal efforts do not always succeed in recovering the entire state financial losses. The limitations of criminal law make criminal law instruments not the only one to solve the problem of returning state finances due to criminal acts of corruption.
A Rare Case of Hypokalemia Induced Rhabdomyolysis Secondary to Gitelman Syndrome: An Easily Overlooked Inherited Tubulopathy
Authors: Gomes Richmond Ronald , Basak Diapankar Kumar , Ali Akmat
Published: November 2020

Hypokalemia is a common clinical problem in endocrinologists’ and nephrologists’ practice. There are many obvious causes of hypokalemia such as diarrhea, vomiting or diuretics abuse. Other causes such as tubulopathies are rarely observed and their diagnosis is more challenging. There are many inherited and acquired tubulopathies causing hypokalemia, sometimes severe and life-threatening. We report a case of a middle aged female patient who presented with weakness of upper and lower limbs, muscle pain and oliguria. On evaluation, she had hypokalemia, hypomagnesemia, metabolic alkalosis and hypocalciuria and diagnosis of Gitelman syndrome was established. In addition, she had acute kidney injury (AKI ) due to rhabdomyolysis secondary to hypokalemia. A short review on the etiology, pathogenesis and management of Gitelman syndrome is presented.

J MEDICINE JUL 2020; 21 (2) : 105-108
T-cell Lymphoblastic Leukaemia/Lymphoma Presenting as Bilateral Renal Enlargement and Arthritis: A Rare Case Report
Authors: Bhuiyan Md Minhaj Uddin , Bhowmic Rajib , Siddiki Md Shahriar , Patwari Md Kamrul Hasan , Biswas Sarmistha
Published: November 2020

Lymphoma usually presents as painless enlargement of lymph nodes with or without systemic symptoms like fever, weight loss, night sweats, itching and hepatosplenomegaly. But renal enlargement and arthritis as initial manifestations of lymphoma are very uncommon and poses a potential diagnostic challenge. Renal manifestations of lymphoma are usually nonspecific hematuria, fever, flank pain and oliguria. Pathological data are scanty in this regard; few reports indicate that it has a very poor prognosis. Here we described a case of lymphoma presented with bilateral palpable kidneys, pyrexia and arthritis. Initially diagnosis was confused as renal dysfunction was absent and also the condition is rare. However, strong clinical suspicion along with radiological and histopathological evidence as well as immunophenotyping tests helped to diagnose the case as T-cell lymphoblastic leukaemia/lymphoma.

J MEDICINE JUL 2020; 21 (2) : 109-112
42-Year-Old Patient With Severe COVID-19 Pneumonia and Cytokine Storm: Hurdles During Management
Authors: Mazumder Maksudul Islam , Akter Sumaiya , Sadia Halima , Reza Ishrat Binte , Uddin M Zahir , Ahasan HAM Nazmul
Published: November 2020

A middle aged man presented with fever for 14 days, dry cough for 10 days and shortness of breath for 6 days. He tested positive for RT-PCR for COVID-19 on 5th day of illness. Patient was maintaining home isolation until he developed shortness of breath. After hospitalization patient was treated with standard dose of Remdesivir, dexamethasone and antibiotics. But his oxygen demand was increasing day by day. Inflammatory markers including serum ferritin, CRP level was also increasing. Patient was having a cytokine storm. At this point of treatment anti IL6 Tocilizumab was being considered. But patient’s wellbeing was improved and tocilizumab was not given. Our patient gradually recovered from severe COVID-19 pneumonia and cytokine storm without tocilizumab.

J MEDICINE JUL 2020; 21 (2) : 119-122
Haemophagocytic Lymphohistiocytosis Associated with Dengue Fever - A case series
Authors: Islam Quazi Tarikul , Sagor Hirinmoy Barman , Tuli Tasmina Chowdhury
Published: November 2020

Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening medical condition characterized by hyperphagocytosis secondary to an inappropriate over-activation of macrophages and lymphocytes that driven by excessive cytokines production which resulted in cellular destructions. Dengue induced hemophagocytic lymphohistiocytosis (HLH) is a serious condition and may prove fatal if not detected early and treated appropriately. Diagnosis of HLH is challenging and usually missed as clinical and laboratory findings are nonspecific. It should be suspected with prolonged fever beyond seven days associated with splenomegaly, hyperferritinemia, worsening cytopenias and development of multiorgan dysfunction. A proportion of patients recovered with supportive therapy, however most required interventions with corticosteroids, intravenous immunoglobulin or chemotherapy. We report 3 cases of dengue associated HLH . Among them 2 patients were treated with steroid with good outcome, and one died from MODS.

J MEDICINE JUL 2020; 21 (2) : 123-126
Implementasi Model View Controller Pada Aplikasi Pemesanan Makanan Platform Sistem Operasi Android
Authors: Hayat Cynthia , Rahardja Enggalwiguno , Pasamboan Frans
Published: November 2020

AbstractÂ It is common knowledge in big cities like Jakarta today that to start a small business in the field of food sales can be done quite easily. But to be able to survive, even growing in the midst of market competition, execution of innovations and superior strategies needs to be done. This paper discusses the making of a food ordering application using the mobile-based Object-oriented programming (OOP) method using an android platform that is systematically designed specifically to the characteristics of the object of study. Discovery requirements were carried out by conducting interviews, making scenarios, and ethnographic studies. System Modeling is applied with the UML method through activity diagrams, use-case diagrams, class diagrams and data flow diagrams. Furthermore, adding several features to the needs and demands of stakeholders was fulfilled by combining the MySQL database with Firebase - a Cloud-based platform from Google inc. to integrate the existing mobile user account that is already owned by the user on the device, as well as the utilization of other service facilities that have essential features for future application development. The final results of the study are 2 (two) applications integrated with the android platform, which consist of (1) Food ordering applications for clients (customers) that are expected to facilitate customers in obtaining product information, which further facilitates the purchasing process, and (2) Application management of the food sales process for the admin (seller / owner of the restaurant) and for carrying out additional promotional activities on his business activities.Â Â Keywords : OOP, MVC, Android, Food Ordering
Perbandingan Kinerja Model Klasifikasi Decission Tree , Bayesian Classifier, Instance Base, Linear Function Base, Rule Base pada 4 Dataset Berbeda
Authors: Hadiwandra T Yudi
Published: November 2020

Ada banyak metode klasifikasi yang telah dikembangkan namun kinerjanya selalu berbeda dari satu masalah ke masalah lain. Perlu dilakukan suatu upaya untuk memilih model klasifikasi yang relatif optimal, salah satunya dengan membandingkan kinerja beberapa algoritma dari beberapa kelas model berbeda menggunakan beberapa dataset dengan karakteristik yang berbeda pula sehingga dapat memberikan gambaran tentang kelas model mana yang relatif optimal untuk dipilih sebagai tahap awal dalam memilih algoritma yang akan diterapkan. Pada makalah ini dibandingkan kinerja metode klasifikasi dari model Decission Tree, Bayesian Classifier, Instance Base, Linear Function Base dan Rule Base menggunakan 4 dataset yang berbeda karakteristiknya.Â  Dari hasil pengujian diperoleh kesimpulan bahwa model Instance Base dan Decission Tree lebih robust dibanding kelas model lainnya bila diberi dataset yang mengandung noise dan missing value. Accuracy model Bayesian lebih stabil dibanding kelas model lainnya apabila diberi dataset dengan jumlah atribut yang lebih banyak. Semua kelas model mempunyai scalability yang baik dan mampu meningkatkan accuracy bila diberi jumlah record yang lebih besar. Kelas model Linear Function dan Decission Tree membutuhkan waktu training yang relatif lebih lama dibanding model lainnya, namun membutuhkan waktu testing yang relatif lebih cepat dibanding model lainnya. Secara umum kelas model Decission Tree lebih unggul dibanding kelas model lainnya
Sistem Pakar Diagnosa Penyakit Limfoma dengan Metode Certainty Factor
Authors: Aldo Dasril , - Ardi
Published: November 2020

Penyakit limfoma pada manusia merupakan salah satu penyakit berbahaya yang menduduki peringkat paling tinggi yang paling banyak menyerang manusia. Untuk mengatasinya perlu dihindari faktor resiko yang menyebabkan penyakit limfoma serta melakukan pemeriksaan kesehatan secara rutin untuk mengetahui adanya indikasi penyakit limfoma. Oleh karena itu, dibuatlah Aplikasi Sistem Pakar Diagnosa Penyakit limfoma yang dapat digunakan untuk membantu mendeteksi adanya penyakit limfoma dalam tubuh seseorang. Aplikasi ini berbasis web yang dapat diakses setiap saat sehingga mendukung pemeriksaan rutin yang bisa dilakukan oleh diri sendiri. Tugas akhir ini dibuat dengan menggunakan metode certainty factor, dan diimplementasikan dengan menggunakan bahasa pemrograman PHP, dan database MySQL berbasis web. Dengan adanya aplikasi ini, pengetahuan yang dimiliki oleh pakar mengenai limfoma dapat tersusun dalam bentuk basis data, dan diharapkan dapat membantu pasien dalam mendiagnosa penyakit limfoma secara dini.
Desain Robot Pemotong Rumput Dengan Perintah Suara Berbasis Android
Authors: Hutagalung Jhonson Efendi , - Dahriansah
Published: November 2020

Penulis berkeingin membuat suatu desain sebagai lanjutan dari prototype dari robot pemotong rumput ini. Sehingga desain ini nantinya sebagai awal dari pembuatan proyek jadi sistem, sehingga alat dapat bekerja dengan proses yang diinginkan. Sistem ini bertujuan untuk menghubungkan komunikasi antara robot beroda dengan smartphone melalui media komunikasi bluetooth. Dari hasil pengujian, penulis berhasil mengaplikasikan teknologi bluetooth pada robot beroda dengan memberikan instruksi seperti maju, mundur, berhenti, belok kanan, belok kiri, dan berhenti. Disinilah mikrokontroler memiliki memory sendiri, serta proses-proses yang dapat berdiri sendiri, sehingga ketika dihubungkan dengan input dan output yang lain, penulis juga dapat mengontrol alat tersebut. Â Â Â  Robot ini digunakan untuk memotong rumput dengan lahan yang luas sehingga tidak perlu lagi dikerjakan oleh banyak cukup dengan dua atau tiga orang secara bergantian mengerjakan pemotongan rumput dalam hal pembukaan lahan baru. Robot dikendalikan dengan Android, untuk mengerakkan motor dc tersebut, serta menggunakan driver motor agar robot dapat bergerak sesuai dengan perintah yang tersimpan di dalam program.Penelitian ini telah berhasil dan nantinya akan dikembangkann kearah yang lebih baik dengan alat yang nyata dengan kapasitas besar.
Optimasi Pencarian Jalur Menggunakan Model Heuristik Algoritma Semut
Authors: Chan Andi Supriadi , Lesmana Lido Sabda
Published: November 2020

perjalanan dari satu tempat atau lokasi ke tempat yang lain dengan mempertimbangkan jalur atau rute yang terpendek untuk dilalui pada kasus travelling dengan metode algortima semut. Dengan melimpahnya destinasi wisata pada negara singapura tersebut, tidak jarang para wisatawan mengalami berbagai permasalahan dalam menggunjungi negara tersebut, salah satu permasalahan sederhana yang dialami berdasarkan wawancara terhadap beberapa orang yang pernah mengunjungi negara singapura adalah masalah efisiensi waktu dan biaya dalam melakukan wisata ke negara singapura. Belum lagi ditambah beberapa wisatawan dengan dana terbatas dan waktu terbatas dan mereka ingin mengunjungi beberapa lokasi sekaligus. Masalah efisiensi waktu dan biaya ini sering terjadi karena tidak tahu jalur mana yang harus mereka tempuh.Dengan adanya pemilihan rute terbaik oleh wisatawan setidaknya dapat meminimalisir biaya pengeluaran untuk transportasi dan waktu terbuang di jalan. Dan banyaknya tempat yang ingin dikunjungi di berbagai lokasi dengan jarak tempuh yang berbeda membuan pengambilan keputusan lokasi mana yang ingin di tuju menjadi acak. algoritma Â Semut menemukan jalur paling optimal dari semua probabilitas jalur yang dilalui semut dengan meninggalkan pheromon dengan jumlah yang lebih banyak.dibanding jalur yang tidak optimal.sehingga hasil penelitian menunjukan bahwa jalur optimal dengan pheromone terbanyak merupakan jalur rute lokasi wisata yang paling pendek dan optimum pada Negara singapura
Implementasi Weighted Product Pada Pembuatan Sistem Penilaian Tenaga Medis Puskesmas Kampung Bali â€“ Kota Bengkulu
Authors: Elfianty Lena , Qurniati Nofi , Wahyudi Jusuf
Published: November 2020

Sebagai pemicu peningkatan prestasi seorang pelayan kesehatan, perlu dilakukan pengukuran kinerjanya.Â Â  Kinerja Â pelayanan Â menyangkut Â hasil Â pekerjaan, kecepatan kerja, pekerjaan yang dilakukan sesuai dengan harapan pelanggan, dan ketepatan waktu dalam Â menyelesaikan Â pekerjaan (Ummi Masitahsari et al, 2015).Â Â Â  Kinerja Â seseorangÂ  merupakan kombinasi dari kemampuan, usaha dan kesempatan yang dapat dinilai dari hasil kerjanya (Sulistiyani & Rosidah, 2003:223) dalam Dirk Malaga Kusuma, 2013. Untuk mengetahui prestasi kinerja tenaga medis yang memiliki prestasi sangat baik, digunakan Sistem Pendukung Keputusan dengan metode Weighted Product (WP), dimana metode ini sangat cocok digunakan bagi penyeleksian berbagai alternatif yang bertolak dari penetapan bobot dari masing-masing kriteria penilaian.Â Â  Dengan telah ditetapkannya bobot optimal oleh Kepala Puskesmas, metode ini mulai disusun matrik bobotnya untuk dijadikan faktor eksponensial dari masing-masing rating kecocokan yang dimiliki oleh masing-masing tenaga medis.Â  Berdasarkan urutan dari langkah-langkah penyelesaian perhitungan dengan metode weighted product (WP) selanjutnya disusun program aplikasi yang diharapkan akan mampu memberikan bantuan dalam mempercepat proses perhitungannya.Hasil keluaran (output) prgroam yang didapat ternyata tidak jauh berbeda dibandingkan dengan perhitungan secara manual.Â  Meskipun ada sedikit perbedaan antara kedua hasil tersebut, selisih sangat kecil yakni berkisar antara 1/1000 sampai 2/1000.Â  Namun karena tujuan utama dari sistem pendukung keputusan adalah untuk mendapatkan ranking terbaik dari alternatif yang ada.Â  Maka dapat dikatakan, secara urutan, hasil yang didapat antara perhitungan secara manual dan melalui program adalah sama.
Rancang Bangun Prototipe Aplikasi Penunjang Keputusan Joint Venture dengan Metode Analytical Hierarchy Process
Authors: Hayat Cynthia , Hansen Hansen , Hutapea Afrido Vadri
Published: November 2020

CV. ABC adalah sebuah perusahaan yang bergerak dalam bidang ekspor impor. Dalam menghadapi persaingan, perusahaan ABC mengubah strategi bisnis mereka dengan melakukan globalisasi ditandai dengan investasi langsung pada operasional perusahaan atau yang lebih dikenal dengan joint venture. Pengembangan aplikasi penunjang keputusan menggunakan analisa dengan proses hierarki analisis (AHP) dan metode prototyping atau lebih dikenal dengan proses berulang. Dalam mengambil keputusan, dibandingkan beberapa hal yang faktual dengan harapan dari pihak perusahaan. Hal yang dibandingkan adalah total impor, total ekspor dan total supplier dengan angka harapan yang ditentukan oleh perusahaan. Dari perbandingan tersebut menghasilkan beberapa variasi jawaban, yaitu sangat siap, kurang siap, sangat kurang siap serta tidak siap melakukan joint venture.
Perancangan Sistem Informasi Sosial Learning Untuk Mendukung Pembangunan Kota Tangerang Dalam Meningkatkan Smart City Berbasis Android
Authors: Ratama Niki , - Munawaroh
Published: November 2020

Kota Tangerang selalu terus bertransformasi dalam perkembangan termasuk menjadi suatu kota yang smart city. dimana memberikan sebuah layanan yang memudahkan masyarakat dalam memberikan akses informasi kepada masyarakat tersebut hingga akan mewujudkan pemerintahan yang bersih dengan keterbukaan akan informasi, untuk menjadikan Kota Tangerang menjadi kota cerdas sangat perlu memanfaatkan sebuah teknologi informasi, salah satunya adalah pendekatan antara smart city dan smart people. Faktor yang berpengaruh dalam smart people adalah sebuah pendidikan atau sebuah pelatihan baik berupa edukasi secara langsung atau penyuluhan dilapangan ataupun juga yang sifatnya e-learning, human capital and research, development and innovation. pembuatan sistem informasi sosial learning dalam penyampaian sebuah e-learning dalam pemberian edukasi dan sebuah informasi merupakan salah satu cara yang dapat digunakan dalam menciptakan masyarakat yang smart people. dimana melihat karakteristik masyarakat kota tangerang yang sering menggunakan teknologi informasi khususnya media internet dan gadget berupa smartphone berbasis android, maka pembuatan sistem informasi sosial learning berbasis android dirancang dengan konsep Smart Learning System. pembuatan sistem informasi sosial learning ini secara utuh dimulai dari tahap Analisis dan Desain Aplikasi, tahap rancangan bangun dalam membuat sistem informasi ini menggunakan prosedur model Object-Oriented Analysis and Design (OOAD) dimana memiliki tahapan yang prosedural dalam analisis data dan desainnya, dengan adanya sistem informasi penyedia pembelajaran sosial ini diharapkan dapat meningkatkan pembangunan smart city melalui smart people pada Kota Tangerang.Â Kata Kunci : Smart City, OOAD, Learning
Pemampatan Citra Satelit Terra Modis Menggunakan Alihragam Gelombang-singkat
Authors: Handayani Tri , - Desyanti
Published: November 2020

Salah satu bidang penginderaan jauh adalah satelit MODIS memberikan lingkup cakupan harian bumi menggunakan sensor. Data citra satelit yang belum diolah biasanya mengandung noise, gangguan yangÂ  ditimbulkan oleh sistem/sensor optik. Pemampatan diperlukan mengurangi redundansi data citra agar dapat menyimpan atau mentransmisikan data dengan ruang minimal atau bandwidth semaksimal mungkin. Dalam penelitian ini menggunakan citra satelit Terra MODIS level 1 B dengan ukuran 512 x 512 pixel serta alihragam gelombang-singkat Haar, Coiflet1, Coiflet 2, Symlet5 dan Symlet2 dengan proses Preprocessing untuk menghilangkan noise menggunakan Filter lowpass Gaussian. Hasil dari penelitian ini berupa perbandingan untuk masing-masing gelombang singkat terhadap rasio pemampatan, ukuran file citra, PSNR. Rasio Pemampatan tertinggi pada gelombang singkat Coiflet1 dengan 34%. PSNR tertinggi pada gelombang singkat Coiflet2 pada citra MOD03 dengan nilai 19.984, MSE terendah pada gelombang singkat Coiflet2 pada citra MOD02 dengan nilai 21.704 sedangkan untuk ukuran file citra gelombang singkat Haar dan Symlet2 menghasilkan ukuran file terkecilÂ Kata Kunci : MODIS, Gelombang-singkat, Pemampatan Â citra, Â Filter Â lowpass GaussianÂ
Penerapan Analytical Hierarchy Process (AHP) Untuk Decission Support System Pemilihan Vendor IT
Authors: Riyandi Albert , Sudibyo Aji
Published: November 2020

Pemilihan Vendor terbaik oleh Decission Maker dalam menentukan keputusan untuk pengerjaan project harus dilakukan dengan sangat cermat. Berbagai macam kriteria yang kompleks membuat penentu keputusan mengalami kesusahan dalam menentukan pilihan yang sesuai. Analytical Hierarchy Process (AHP) dapat digunakan untuk membantu dalam menentukan keputusan (deciccion Support System) terutama dalam pemilihan vendor IT untuk project yang dilakukan. Dari hasil perangkingan mnggunakan AHP peringkat pertama diduduki oleh GA dengan total nilai 44,18%, CMC di posisi kedua sebesar 31% , Posisi ke tiga oleh PSW sebesar 15,70% dan ESS diposisi ke empat dengan nilai 9,12%.Â The selection of the best vendor by Decission Maker in determining the decision to work on the project must be done very carefully. Various kinds of complex criteria make the decision makers experience difficulties in determining the appropriate choice. Analytical Hierarchy Process (AHP) can be used to assist in determining decisions Support System, especially in the selection of IT vendors for the project being carried out. From the ranking using the first rank AHP was occupied by GA with a total value of 44.18%, CMC in the second position by 31%, the third position by PSW was 15.70% and ESS was placed fourth with a value of 9.12%.
Pendukung Keputusan Pemilihan Komponen Temperature Control Valve Pesawat Boing 737 Next Generation
Authors: Hardiyan  , Arlan Meydi
Published: November 2020

Faktor teknik penerbangan adalah faktor yang turut mempengaruhi tingginya tingkat kecelakaan pesawat udara. Pemilihan komponen merupakan salah satu yang harus dilakukan dalam upaya membuat pesawat memiliki kehandalan yang tinggi. Setiap komponen yang terpasang di pesawat udara memiliki peran dalam menjustifikasi baik atau tidaknya pesawat untuk terbang. Banyak faktor agar dalam sebelum menentukan komponen apa yang akan di pasang di pesawat. Pada penelitian ini, peneliti memilih keamanan, kehandalan dan harga untuk menjadi kriteria utama yang perlu diperhatikan dalam memilih salah satu komponen sebagai prioritas untuk dipasang di pesawat. Sistem penunjang keputusan dengan menggunakan metode Analytical Hierarchy Process (AHP) yang telah dilakukan dapat membantu untuk menghadirkan rekomendasi komponen yang akan dipasang di pesawat. Tiga komponen alternatif yang telah memiliki angka dari hasil pengisian kuesioner dihitung dengan rumus yang ada pada metode AHP. Hasilnya, komponen Temperature Control Valve “TCV 398908-5” memiliki presentase tertinggi sebagai alternative kompoenen prioritas.
Menentukan Kualitas Pelayanan Maskapai Penerbangan Domestik Dengan Menggunakan Metode Naïve Bayes
Authors: Indriyani Nova , Ali Edwar , Rio Unang , Rahmaddeni Rahmaddeni
Published: November 2020

Pihak Direktorat Jenderal Perhubungan Udara Regional Pekanbaru mempunyai wewenang terhadap semua aspek terkait dengan layanan angkutan udara dalam kawasannya. Secara berkala dan terus menerus, diperlukankan data terbaru terkait nilai standar kepuasan pengguna jasa angkutan udara, melalui persepsi masyarakat terhadap maskapai penerbangan yang digunakannya. Apabila tanggapan masyarakat terus bergerak positif sepanjang waktu, maka pihak Direktorat Jenderal Perhubungan Udara Regional Pekanbaru dapat meningkatkan standar kualitas pelayanan dari jasa maskapai penerbangan agar mampu menghadapi persaingan yang semakin kompetitif. Untuk itu, dengan adanya Sistem Pendukung Keputusan menggunakan metode Naïve Bayes ini dapat menentukan kualitas pelayanan maskapai penerbangan domestik serta menjadi dasar pengambilan keputusan oleh pihak Direktorat Jenderal Perhubungan Udara dalam meningkatkan standar kualitas maskapai penerbangan dosmetik pada setiap jasa maskapai penerbangan. Ada empat kriteria pemilihan kualitas maskapai penerbangan yaitu ketepatan waktu, harga tiket, pelayanan, dan kenyamanan yang dijadikan sebagai standar ukur dalam penilaian kualitas jasa penerbangan setiap maskapai. Keseluruhan data akan berkontribusi pada standar kualitas layanan penerbangan udara di Indonesia. Data dalam sistem ini memiliki 35 item data testing. Berdasarkan hasil perangkingan, maskapai yang memiliki kualitas baik adalah Citilink yang memperoleh nilai probabilitas tertinggi yaitu sebesar 5,67411158 dibanding dengan yang lainnya.
Prototype Sistem Monitoring Tempat Sampah di Gedung Politeknik Negeri Bengkalis Berbasis Mikrokontroler
Authors: Ratnawati Fajar , Juniarto  , Musri Tengku
Published: November 2020

Sampah merupakan sisa pembuangan dari aktivitas manusia maupun proses alam. Sampah yang dihasilkan dari berbagai gedung Politeknik Negeri Bengkalis semakin hari semakin mengakibatkan penumpukan dan bau tidak sedap karena adanya pembusukan sampah. Prototype Sistem Monitoring Tempat Sampah di Gedung Politeknik Negeri Bengkalis Berbasis Mikrokontroler akan dingunakan untuk mengatasi permasalahan tersebut. Prototype yang dirancang yaitu bisa mengirim informasi kepenuhan sampah berupa notifikasi ke Android petugas kebersihan di Politeknik Negeri Bengkalis. Setiap pembuang sampah pada tempat sampah tersebut, maka tempat sampah akan terbuka dan tertutup secara otomatis. Prototype yang di buat menggunakan Arduino Uno, Sensor Ultrasonik sebagai pendeteksi kepenuhan sampah. Servo sebagai pengendali buka tutup otomatis tempat sampah. Raspberry pi sebagai server tempat database yang akan terhubung ke cloud yang akan mengirimkan notifikasi ke Android  petugas kebersihan. Jarak yang dideteksi sensor ultrasonik pertama adalah kecil sama dengan 30 cm untuk mendeteksi pembuang sampah jika sensor ultrasonik mendeteksi di jarak kecil sama dengan 30 cm, maka servo akan membuka tempat sampah secara otomatis, apabila tempat sampah telah penuh maka sensor ultrasonik dan servo tidak akan bekerja dan tempat sampah tidak akan terbuka. Sedangkan jarak yang dideteksi sensor ultrasonik kedua adalah kecil sama dengan 4 cm yang berfungsi untuk mendeteksi kepenuhan sampah dan  mengirimkan notifikasi ke android petugas.