bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Wearing Masks, Hand Hygiene, and Social Distancing on Influenza, Enterovirus, and All-Cause Pneumonia During the Coronavirus Pandemic: Retrospective National Epidemiological Surveillance Study
Authors: Chiu Nan-Chang , Chi Hsin , Tai Yu-Lin , Peng Chun-Chih , Tseng Cheng-Yin , Chen Chung-Chu , Tan Boon Fatt , Lin Chien-Yu 
Published: August 2020

Background
The coronavirus disease (COVID-19) pandemic is an important health crisis worldwide. Several strategies were implemented to combat COVID-19, including wearing masks, hand hygiene, and social distancing. The impact of these strategies on COVID-19 and other viral infections remains largely unclear.

Objective
We aim to investigate the impact of implemented infectious control strategies on the incidences of influenza, enterovirus infection, and all-cause pneumonia during the COVID-19 pandemic.

Methods
We utilized the electronic database of the Taiwan National Infectious Disease Statistics System and extracted incidences of COVID-19, influenza virus, enterovirus, and all-cause pneumonia. We compared the incidences of these diseases from week 45 of 2016 to week 21 of 2020 and performed linear regression analyses.

Results
The first case of COVID-19 in Taiwan was reported in late January 2020 (week 4). Infectious control strategies have been promoted since late January. The influenza virus usually peaks in winter and decreases around week 14. However, a significant decrease in influenza was observed after week 6 of 2020. Regression analyses produced the following results: 2017, R2=0.037; 2018, R2=0.021; 2019, R2=0.046; and 2020, R2=0.599. A dramatic decrease in all-cause pneumonia was also reported (R2 values for 2017-2020 were 0.435, 0.098, 0.352, and 0.82, respectively). Enterovirus had increased by week 18 in 2017-2019, but this was not observed in 2020.

Conclusions
Using this national epidemiological database, we found a significant decrease in cases of influenza, enterovirus, and all-cause pneumonia during the COVID-19 pandemic. Wearing masks, hand hygiene, and social distancing may contribute not only to the prevention of COVID-19 but also to the decline of other respiratory infectious diseases. Further studies are warranted to elucidate the causal relationship.
Implementasi Sistem Pelacakan Kendaraan Bermotor Menggunakan Gps Dan Gprs Dengan Integrasi Googlemap
Authors: Muchlisin Yazid Dul , Istiyanto Jazi Eko 
Published: August 2020

Abstract— Vehicle tracking system using GPS and GPRS integration googlemap provide information that is maximized with the technology of GPS (Global Positioning System) receiver which can indicate the position of the vehicle with the map and the ability of the appointment of direction and position coordinates (x, y or latitude, longitude) textually and visual at any location. Vehicle tracking system is built using equipment GIS (Geographic Information System) and dedicated to smartphones which support Global Positioning System (GPS), as well as portable computers, using General Packet Radio Service (GPRS) as a connection to the internet. The hardware used is a smartphone that supports GPS with supporting tools used are GoogleMaps, Notepad + +, NetBeans IDE 6.5.1, Mysql, Java (J2ME), PHP, JavaScript. The results of this system in the form of tracking system capable of monitoring the movement of vehicles on an ongoing position by utilizing GPS and GPRS as the sender of the wireless data and Internet connections. Keywords— GIS, GPS, GPRS, googlemaps, J2ME,
Sistem Pendukung Keputusan Pengalokasian Spare Part
Authors: Wiryasaputra Rita , Hartati Sri 
Published: August 2020

AbstrakEra informasi yang semakin berkembang mempengaruhi lingkungan bisnis. Pengaruhnya dapat dilihat pada proses pengambilan keputusan. Proses pengambilan keputusan terhadap sejumlah alternatif dan sejumlah tujuan diselesaikan dengan sebuah sistem. Sistem yang bermodelkan Multi Attribute Decision Making (MADM) dan Multi Objective Decision Making (MODM). Model MODM digunakan untuk menyelesaikan perancangan alternatif terbaik dan model MADM digunakan untuk menyelesaikan penyeleksian terhadap beberapa alternatif dalam jumlah yang terbatas. Salah satu pendekatan model MADM adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Konsep utama TOPSIS adalah alternatif preferensi terbaik memiliki jarak terpendek dari solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Hasil metode TOPSIS adalah perankingan terhadap sejumlah alternatif. Salah satu masukan dari metode TOPSIS adalah nilai pembobotan kriteria. Nilai pembobotan kriteria dapat diberikan secara langsung oleh pengambil keputusan atau dihitung melalui sebuah metode. Penelitian akan menghitung nilai pembobotan kriteria dengan metode Entropy. Tujuannya adalah untuk memberikan objektifitas pembobotan kriteria. Penelitian mengangkat kasus tentang pengalokasian spare part ke sejumlah store. Alternatif terbaik dengan sumber daya yang terbatas, beberapa tujuan yang saling bertentangan didekati dengan metode Goal programming. Pengambilan keputusan akan lebih terarah karena sistem menghasilkan perankingan store spare part, dan menampilkan informasi alokasi spare part. Kata kunci— Sistem Pendukung Keputusan, Entropy, TOPSIS, Goal Programming AbstractThe capabilities of computrized systems facilitate decision support in a number of ways, such as speed computations, increased productivity ,improved data management and others. Decisions are often made by individuals. There may be conflicting objectives even for a decision maker. The conflicting objectives can be solved by goal programming. Research of spare part allocation focuses on an individual decision maker and presents the solving problem with Multiple Criteria Decision Making (MCDM). A lot of MCDM approaches have been developed and applied to diverse fields, like engineering, management, economic, etc. As one of the known classical MCDM approaches, TOPSIS method is known to be a common method to get the preliminary outcome. The main concept of TOPSIS is the best alternative has the shortest distance from the positive ideal solution and has the longest distance from the negative ideal solution. Before the stores are ranked with TOPIS method, the management assigned a weightage to each store using Entropy method. Keywords— Decision Support Model, Entropy, TOPSIS, Goal Programming.
Simulasi Swarm Robot Dengan Pendekatan Rayap Pada Masalah Clustering
Authors: Yogha Bintoro Ketut Bayu , Prijodiprodjo Widodo 
Published: August 2020

AbstrakPendekatan rayap yang merupakan salah satu metode dalam rumpun swarm intelligence yang dapat mengatasi masalah clustering, pada penelitian ini pendekatan rayap dilihat dari sudut pandang pemodelan berbasis agent dan diimplementasikan ke dalam swarm robot. Penelitian ini penting untuk mengembangkan model pendekatan rayap pada kasus – kasus nyata terutama pada masalah clustering, untuk mengimplemantasikan model yang diperoleh dari studi literatur maka dibuatkan simulasi untuk menggambarkan secara detail proses yang terjadi dalam menangani masalah clustering.Pendekatan IODA digunakan untuk memodelkan interaksi yang terjadi didalam simulasi, pendekatan ini di sesuaikan dengan perangkat pengembangan yang digunakan yaitu NETLOGO. Penggunaan IODA menjadi suatu kontribusi untuk mengembangkan metodologi ini, terutama pada NETLOGO disamping pengimplementasian komunikasi tidak langsung dan optimasi pencarian yang dapat membentuk clister lebih cepat dari penelitian sebelumnya. Kata kunci— Pendekatan rayap, simulasi, IODA, clustering, agent AbstractTermites approach is one of the method in swarm intelligent field which used to handle clustering problem. In this research, termites approach are in agent metodology point of view and implemented to swarm robot. This research is important to developing termites model in some real cases especially in clustering problem, to implement this model gathered from literatur study, we used simulation to give detail model about clustering solving process. IODA metodologi is used to modelling the interaction in simulation, this approach is appropriate with NETLOGO as development tool. The involve of IODA has become one of the contribution to develop this in NETLOGO beside the implementation of indirect communication and searching optimization that can makes clustering process faster than the previous research. Keywords—Termites approach, Simulation, IODA, clustering, agent.
Sistem Pendukung Keputusan Dalam Menentukan Supplier Jeruk Pontianak Berbasis Fuzzy-AHP
Authors: Salahuddin Salahuddin , Hartati Sri 
Published: August 2020

Orange fruit siam Pontianak or usually called Pontianak ,it is very popular to the people and the fruit itself is very favorite of many people in Indonesia because of its taste which is so sweet and a little sour and refresing. The competition of orange in industries is becoming more intense. The high preference to this orange makes it a demand in most markets to the food industries, farmacy industry and local(traditional) medicine has point out that supplier of this orange is meeting importan factor that quarantee direct to the company. The collection of data in this survey and the sample of orange from every area is capable of producing orange Pontianak in the province of West Kalimantan. In this research will analyst the area supplier in producing standardize orange founded on the quality and the appropriate criteria based on the SNI. The method that is used is Fuzzy-AHP with weighting non-additive.The result that is used Fuzzy AHP non-additive in stating supplier of the orange pontianak in showing, attractive criteria, hygienic,sizes, marketing, , rotting is the first criteria which is undetake for giving the supplier quality orange. In examining the level of consistency using the method Fuzzy AHP non-additive is made in every structural level, hierarchal system is capable of handling the non consistency in the end testing, then will obtained the best supplier with important criteria for the company.
Peramalan Data IHSG Menggunakan Fuzzy Time Series
Authors: Hansun Seng 
Published: August 2020

AbstrakFuzzy time series merupakan salah satu metode soft computing yang telah digunakan dan diterapkan dalam analisis data runtun waktu. Tujuan utama dari fuzzy time series adalah untuk memprediksi data runtun waktu yang dapat digunakan secara luas pada sembarang data real time, termasuk data pasar modal.Banyak peneliti yang telah berkontribusi dalam pengembangan analisis data runtun waktu menggunakan fuzzy time series, seperti Chen dan Hsu [1], Jilani dkk. [2], serta Stevenson dan Porter [3]. Dalam penelitian ini, dicoba untuk menerapkan metode fuzzy time series pada salah satu indikator pergerakan harga saham, yakni data IHSG (Indeks Harga Saham Gabungan).Kinerja metode yang diusulkan dievaluasi dengan menghitung tingkat akurasi dan tingkat kehandalan metode fuzzy time series yang diterapkan pada data IHSG. Melalui pendekatan ini, diharapkan metode fuzzy time series dapat menjadi alternatif untuk memprediksi data IHSG yang merupakan salah satu indikator pergerakan harga saham di Indonesia. Kata kunci – fuzzy time series, data runtun waktu, soft computing, IHSG AbstractFuzzy time series is one of the soft computing method that been used and implemented in time series analysis. The main goal of fuzzy time series is to predict time series data that can be used widely in any real time data, including stock market share.Many researchers have contributed in the development of fuzzy time series analysis, such as Chen and Hsu [1], Jilani [2], and Stevenson and Porter [3]. In this research, we will try to implement the fuzzy time series method in one of the stock market change indicator, i.e. the Jakarta composite index or also known as IHSG (Indeks Harga Saham Gabungan).The research is continued by calculating the accuracy and robustness of the method which has been implemented on IHSG data. By this approach, we hope it can be an alternative to predict the IHSG data which is an indicator of stock price changes in Indonesia. Keywords – fuzzy time series, time series data, soft computing, IHSG
Integrasi Database DISDUKCAPIL dan Database KPU Kabupaten Maros Memanfaatkan Web Services
Authors: N. Allokendek Frans , Soetikno John , Ashari Ahmad 
Published: August 2020

AbstrakBanyaknya permasalahan yang ditemukan dalam pelaksanaan Pemilukada, baik yang disebabkan oleh penyelenggara maupun oleh peserta.Permasalahan yang sering terjadi adalah tidak tersedianya data daftar penduduk potensi pemilih pilkada (DP4) yang ter-update, penggelembungan jumlah pemilih karena adanya data ganda, dan terbatasnya waktu untuk memverifikasi dokumen.Permasalahan yang serupa yang dihadapi oleh KPU Maros ditambah dengan terbatasnya sarana/media publikasi yang disediakan oleh KPU Maros dalam menginformasikan DPS dan DPT kepada masyarakat.Web service adalah sebuah teknologi yang meliputi sekumpulan standar yang memungkinkan dua aplikasi komputer dapat saling berkomunikasi dan bertukar data di internet. Teknologi web services menawarkan kecepatan dan kemudahan dalam mendapatkan informasi dari berbagai sumber tanpa mempermasalahkan perbedaan teknologi yang digunakan. Dalam penelitian ini, web service digunakan untuk mengkomunikasikan dua aplikasi yang berbeda yaitu SIAK DISDUKCAPIL Kabupaten Maros dan SIDP KPU Kabupaten Maros.Penelitian ini dilanjutkan dengan membuat suatu desain sistem dan implementasi berupa prototype sistem yang mengintegrasikan data dari database SIAK DISDUKCAPIL dengan database KPU di Kabupaten Maros dengan memanfaatkan teknologi web services. Hasilnya adalah didapatnya DPT yang valid serta adanya alternatif lain dalam mempublikasikan DPT kepada masyarakat, disamping tetap menggunakan media publikasi yang telah digunakan selama ini. Kata kunci— Web Services, Integrasi Data, DPT AbstractMany problems are encountered in the implementation of Local Election, which are caused by both the committee and participants. The problems that frequently occurred are the unavailability of data on the list of updated potential population to be voters in Local Election, the swallowing number of voters due to double data, and the limited time to verify documents. The similar problems that are encountered by General Election Committee of Maros Regency.Web service is a technology that includes a set of standards allowing two computer applications that can communicate with each other and exchange data in Internet. In the study, web services are used to communicate two different applications: SIAK of the Demography and Civil Registration Office of Maros Regency and SIDP of the General Election Committee of Maros Regency.The study is followed by making the design of system and implementation such as a prototype data integration system between the database of SIAK of the Demography and Civil Registration Office of Maros Regency and that of General KPU in Maros Regency by utilizing web service technology. The result is the valid Fixed Voter List. Keywords—Web Services, Data Integration, Fixed Voter List
Aplikasi Pencarian Rute Terbaik dengan Metode Ant Colony Optimazation (ACO)
Authors: Siyamtining Tyas Yuliyani , Prijodiprodjo Widodo 
Published: August 2020

AbstrakPengawalan Lalu Lintas adalah suatu kegiatan penyelenggaran pengamanan bergerak di jalan dalam rangka melindungi keselamatan jiwa manusia, harta benda, kegiatan VVIP/VIP/ Protokol kenegaraan secara terus menerus selama perjalanan dari satu tempat ke tempat lain dengan menggunakan kendaraan bermotor sehingga kegiatan dapat berjalan aman, tertib dan lancar. Pengambilan keputusan rute jalan yang akan dilalui berdasarkan pertimbangan situasi jalan (jarak tempuh, banyak lubang, banyak tikungan dan kepadatan arus lalu lintas).Ant Colony Optimization (ACO) merupakan teknik probabilistik untuk memecahkan masalah perhitungan dengan menemukan jalur terbaik melalui graf, algoritma ini terinspirasi dari perilaku semut bersama dengan koloninya dalam mencari makanan. Simple Additive Weighting (SAW) merupakan salah satu metode untuk menyelesaikan masalah Multi-Attribute Decision Making (MADM) dengan mencari penjumlahan terbobot dari rating kinerja setiap alternatif pada semua atribut.Penelitian ini mengkombinasikan metode Ant Colony Optimization dengan Simple Additive Weighting. Kata kunci— ACO, Ant Colony Optimization, SAW, Simple Additive Weighting, Rute Terbaik AbstactTraffic Guarding is an activity to carry out the safety on road in order to protect the safety of human, the treasure and the activity to guard of honor. It is conducted continually from one to another place by using the vehicles. It is also conducted to get more safe, ordered and fluent along the road. To take the decision of route which will be passed on the road situations (distance, road with holes, bends and crowd of the traffic).Ant Colony Optimization (ACO) is a probabilistic technique to solve the problem by using the way to find the best track through graf. This algorithm gets inspiration from the ants behavior with their colony to get their food. Simple Additive Weighting (SAW) is a method to solve the problem Multi-Attribute Decision Making (MADM) by finding the accumulation from the rate processing from every alternatives at the attribute of all.This research combines Ant Colony Optimization (ACO) method with Simple Additive Weighting (SAW). Keyword— ACO, Ant Colony Optimization, SAW, Simple Additive Weighting, Best Route
Sistem Pendukung Keputusan Kelompok Penentuan Kelayakan Lokasi Pemukiman
Authors: Ula Mutammimul , SN Azhari 
Published: August 2020

AbstrakSebagai daerah yang rawan bencana dari tsunami, dan abrasi gelombang laut, dibutuhkan suatu lokasi yang layak untuk dapat dijadikan suatu daerah pemukiman untuk mendukung perkembangan perekonomian, sarana dan prasarana, serta sosial ekonomi di pemerintah kota Lhokseumawe. Oleh sebab itu, diperlukan penentuan kelayakan lokasi pemukiman yang layak untuk direkomendasi menjadi sebuah pemukiman yang akan dibangun. Sehingga perlu dilakukan evaluasi terhadap areal fisik pemukiman, sarana dan prasarana, dan sosial-ekonomi yang akan direkomendasi menjadi suatu lokasi pemukiman. Masukan dari masyarakat sangat dibutuhkan untuk mengetahui masalah lokasi yang akan direkomendasi menjadi sebuah pemukiman. Hal ini dilakukan agar pihak pengawas mengetahui dan dapat mengantisipasi masalah-masalah yang terjadi pada lokasi tersebut. Penerapan sistem pendukung keputusan kelompok atau Group Decision Support System (GDSS) yang dibuat menggunakan metode VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) dapat membantu para pengambil keputusan dalam melakukan perankingan nilai masing-masing alternatife solusi, entropy sebagai pembobotannya dari setiap kriteria.. Sementara metode Copeland score, sebagai salah satu metode voting yang tekniknya berdasarkan pengurangan frekwensi kemenangan dengan frekwensi kekalahan dari perbandingan berpasangan untuk melakukan voting terhadap solusi yang akan di ambil para decision maker. Kata kunci— GDSS, Vikor, Entropy, Copeland Score, lokasi pemukiman. AbstrakAs a disaster-prone areas of the tsunami, ocean waves and abrasion, it takes a decent location to be used as a residential area to support economic development, infrastructure, social and economic development of Regional Goverment of Lhokseumawe. Therefore, it is necessary to have feasibility determination of viable residential locations as recommendation to be a settlement. So it is necessary to evaluate the physical area of settlements, infrastructure, economic and social development that will be recommended to be a residential location. Public suggestion is needed to determine the problem locations to be recommended to a settlement. The application of group decision support systems or Group Decision Support System (GDSS) are made using the VIKOR method (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) that is able to assist decision makers in the ranking value to each solution alternatives, entropy wih weigt for criterias, the method of Copeland score, as one method of voting is the technique by reducing the frequency of victory with the defeat of the comparison frequency pairs can be used to vote for a solution that will take the decision makers. Keyword— GDSS, Vikor, Copeland Score, Entropy, location determination.
Identifikasi Barcode pada Gambar yang Ditangkap Kamera Digital Menggunakan Metode JST
Authors: Aliaji Salman , Harjoko Agus 
Published: August 2020

AbstrakDewasa ini hampir setiap produk konsumen memiliki label barcode. Namun alat pembaca barcode jenis laser memiliki kelemahan karena tidak dapat mengenali barcode yang mengalami goresan atau noise. Namun telah dikembangkan teknik lain dengan memanfaatkan kamera digital untuk identifikasi barcode. JST telah banyak digunakan untuk identifikasi berbagai macam pola. Proses identifikasi barcode dalam JST terdiri dari proses training dan proses identifikasi. Proses training menggunakan metode LVQ (Learning Vector Quantization). Proses identifikasi terdiri dari beberapa tahap, yaitu akuisisi citra, preprocessing, locating barcode, proses pengujian dan verifikasi. Berdasarkan hasil pengujian metode LVQ dapat digunakan untuk identifikasi foto barcode dengan kinerja yang baik. Hasil pengujian menunjukkan tingkat akurasi sebesar 73,6 % dari 72 citra yang diuji dengan waktu rata-rata adalah 0.5 detik. Sementara waktu yang dibutuhkan untuk menemukan lokasi barcode adalah sekitar 6 detik menggunakan blok dengan ukuran 32x32 pixel. Kata kunci— Barcode, Learning Vector Quantization, Jaringan Syaraf Tiruan AbstrakIn today’s modern society, almost every consumer product has a barcode label. But the barcode reader with laser type has the disadvantage of not being able to recognize the barcode has a scratch or noise. However, other techniques have been developed by using a digital camera for barcode identification. ANN has been widely used for identification of various patterns. Barcode identification process consists of the ANN training process and the identification process. Training process using the LVQ (Learning Vector Quantization). Identification process consists of several stages: image acquisition, preprocessing, locating barcode, testing and verification process. Based on test results LVQ method can be used for photo identification barcode with good performance. The test results showed an accuracy of 73.6% rate of 72 images were tested with an average time is 0.5 seconds. While the time required to find the location of the barcode is about 6 seconds using a block size of 32x32 pixels. Keyword— Barcode, Learning Vector Quantization, Artificial Neural Network