JURNAL ARMADA INFORMATIKA最新文献

{"title":"Sistem Pakar Mendiagnosa Penyakit Jantung Dengan Teorema Bayes","authors":"Cahaya Ningsih, A. Sitio, Asaziduhu Gea","doi":"10.36520/jai.v2i2.27","DOIUrl":"https://doi.org/10.36520/jai.v2i2.27","url":null,"abstract":"Abstrak \u0000  \u0000Penyakit jantung adalah salah satu penyakit penyebab kematian nomor satu di indonesia. Tingginya jumlah kematian akibat penyakit jantung disebabkan oleh kurangnya ahli jantung, kurangnya kesadaran masyarakat melakukan pengecekan kesehatan jantung secara berkala dan buruknya gaya hidup penderita. Maka dibutuhkan suatu aplikasi yang dapat memudahkan pengguna untuk mendeteksi penyakit jantung secara dini dan mandiri. Dalam penelitian ini, bertujuan untuk membangun aplikasi menggunakan metode Teorema Bayes yang berbasis website sebagai alat bantu untuk mendiagnosa penyakit jantung koroner. Dalam aplikasi ini, pasien tidak harus menunggu lama untuk perawatan oleh dokter, namun dapat menjadi alternative untuk mengantisipasi pengobatan secara cepat dan tepat. Cara menggunakan aplikasi ini yaitu admin menginputkan pertanyaan berupa gejala – gejala yang akan dijawab oleh user, selanjutnya sistem akan mengolah semua jawaban user menggunakan Metode Teorema Bayes dan sistem akan mengeluarkan output berupa hasil diagnosa berupa jenis penyakit jantung dan berbagai solusinya. Aplikasi ini menggunakan bahasa pemograman Web serta Php & Mysql sebagai database. Sistem yang telah dibangun dapat membantu pasien dalam mengetahui jenis penyakit jantung yang sedang diderita pasien dan sesuai analisa pakar penyakit jantung. \u0000  \u0000Keywords : Penyakit Jantung, Metode Teorema Bayes, Php & Mysql, \u0000  \u0000Abstract \u0000  \u0000Heart disease is one of the number one causes of death in Indonesia. The high number of deaths due to heart disease is caused by a lack of cardiologists, lack of awareness of the public to check heart health regularly and poor lifestyles of sufferers. Then we need an application that can make it easier for users to detect heart disease early and independently. In this study, aims to build applications using the Bayes Theorem-based website method as a tool to diagnose coronary heart disease. In this application, patients do not have to wait long for treatment by doctors, but can be an alternative to anticipate treatment quickly and precisely. How to use this application that the admin input questions in the form of symptoms - symptoms that will be answered by the user, then the system will process all user answers using the Bayes Theorem Method and the system will output output in the form of a diagnosis of a type of heart disease and various solutions. This application uses Web programming language and Php&Mysql as database. The system that has been built can help patients in knowing the type of heart disease that the patient is suffering from and according to an expert analysis of heart disease. Keywords: Heart Disease, Bayes Theorem Method, Php&Mysql, Web","PeriodicalId":430012,"journal":{"name":"JURNAL ARMADA INFORMATIKA","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122759971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPK Peneriman Beasiswa S3 Di STMIK Pelita Nusantara Dengan Metode Topsis","authors":"Erlinda Hutagaol, Murni Marbun, Asaziduhu Gea","doi":"10.36520/jai.v2i2.33","DOIUrl":"https://doi.org/10.36520/jai.v2i2.33","url":null,"abstract":"  \u0000Abstrak \u0000  \u0000Penelitian ini adalah sistem pendukung keputusan penentuan penerima beasiswa S3 di STMIK Pelita Nusantara dengan metode TOPSIS. MetodeTOPSIS digunakan untuk penentuan penerima beasiswa S3 yang di tentukan berdasarkan kriteria.Sistem pendukung keputusan ini dibangun dengan aplikasi Visual Studio 2010 sebagai alat bantu untukpenentuan penerima beasiswa S3 di STMIK Pelita Nusantara dan menggunakan MYSQL sebagai database.Hasil dari sistem pendukung keputusan ini adalahuntuk menghasilkan sistem pendukung keputusan yang objektif dan sistematis dalam penentuan penerima beasiswa S3dengan kualifikasi terbaik.Sistem ini bertujuan untuk membantu pihak yayasan dalam memilih dosen yang layak mendapatkan beasiswa S3 di STMIK Pelita Nusantara. \u0000  \u0000Kata kunci: Sistem Pendukung Keputusan, Metode TOPSIS, Beasiswa \u0000  \u0000Abstract \u0000  \u0000This research is a decision support system for determining S3 scholarship recipients at STMIK Pelita Nusantara with TOPSIS method. The TOPSIS method is used for determining S3 scholarship recipients that are determined based on criteria. This decision support system was built with Visual Studio 2010 application as a tool for determining S3 scholarship recipients at STMIK Pelita Nusantara and using MYSQL as a database. The result of this decision support system is to produce an objective and systematic decision support system in determining the S3 scholarship recipients with the best qualifications. This system aims to help the foundation in selecting lecturers who are eligible to get a S3 scholarship at STMIK Pelita Nusantara. \u0000  \u0000Keywords:Decision Support System, TOPSIS Method, Scholarship","PeriodicalId":430012,"journal":{"name":"JURNAL ARMADA INFORMATIKA","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116971595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tranceiver Data Tanpa Kabel Dalam Pengendalian Peralatan Elektronik Berbasis Mikrokontroler AT89S51","authors":"Allwine Allwine, Mhd. Dicky Syahputra Lubis","doi":"10.36520/JAI.V2I2.36","DOIUrl":"https://doi.org/10.36520/JAI.V2I2.36","url":null,"abstract":"ABSTRAK \u0000Penggunaan teknologi telekomunikasi sebagai sistem kendali jarak jauh memungkinkan seseorang dapat melakukan pengendalian terhadap suatu objek tanpa harus mendekati objek atau peralatan yang akan dikendalikan tersebut. Beranjak dari kenyataan inilah maka muncul suatu keinginan penulis untuk membuat suatu alat yang dapat mengendalikan peralatan elektronika seperti lampu dan kipas angin dari jarak jauh dengan menggunakan Mikrokontroler AT89S51 sebagai unit pengendali utama, sehingga kita bisa mengaktif atau menon-aktifkan suatu peralatan elektronika tanpa harus mendekati peralatan tersebut. \u0000Sistem tranceiver data tanpa kabel berbasis Mikrokontroler AT89S51 secara keseluruhan yang terdiri dari input berupa pemancar dan penerima, kemudian mengirimkan data ke sistem minimum mikrokontroler AT89S51 dan menghasilkan keluaran yang akan menggerakkan relay dalam menghidupkan atau mematikan peralatan listrik. \u0000Sistem ini memanfaatkan Mikrokontroller yang mampu menerima input dari remote dan mengolahnya kemudian mengirimkan data tersebut untuk mengaktifkan relay sehingga peralatan elektronik dapat dikendalikan. \u0000 \u0000Kata kunci : Transceiver, Mikrokontroler, AT89S51, BASCOM-8051","PeriodicalId":430012,"journal":{"name":"JURNAL ARMADA INFORMATIKA","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115015879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sistem Pakar Mendeteksi Penyakit Pada Tanaman Sayur Sawi Dengan Metode Bayes","authors":"Friska Nainggolan","doi":"10.36520/JAI.V2I2.31","DOIUrl":"https://doi.org/10.36520/JAI.V2I2.31","url":null,"abstract":"Abstrak \u0000          Sayur sawi tergolong tanaman sayuran daun dari keluarga Crucifarea yang memiliki nilai ekonomi tinggi dan sudah sangat populer dikalangan masyarakat.Sayur sawi sering di gunakan masyarakat sebagai bahan olahan dalam berbagai jenis masakan.Pada umumnya sayur sawi di tanam di daerah dataran rendah hingga dataran tinggi dan panen di lakukan pada umur 30 -60 hari setelah tanam tergantung varietasnya.Sistem pakar merupakan sistem yang  berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli . Metode bayes merupakan salah satu metode yang terdapat pada sistem pakar yang dapat menghitung  nilai-nilai probabilitas setiap gejala.Sistem pakar mendeteksi penyakit tanaman sayur sawi memilki 5 jenis penyakit yang terdapat pada tanaman sayur sawi yaitu Rebah semai,busuk daun, akar gada, bercak daun dan busuk alternaria. \u0000  \u0000          Kata kunci : Sistem Pakar, Metode Bayes.Sayur sawi. \u0000  \u0000Abstract \u0000          Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine. In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can calculate or process the probability values ​​of each symptom. The expert system detects mustard plant disease has 5 types of diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.           Keywords: Expert System, Bayes Method, mustard greens.","PeriodicalId":430012,"journal":{"name":"JURNAL ARMADA INFORMATIKA","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132387389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementasi Sistem Pendukung Keputusan Dengan Metode AHP Dalam Menentukan Tingkat Kepuasan Pelanggan","authors":"Laphita Sari Simanjuntak","doi":"10.36520/jai.v2i2.34","DOIUrl":"https://doi.org/10.36520/jai.v2i2.34","url":null,"abstract":"Abstrak \u0000  \u0000Dalam rangka untuk meningkatkan kepuasan pelanggan pada Pojok UKM Deli Serdangmaka dilakukanlah penelitian terhadap tingkat kepuasan pelanggan di Pojok UKM Deli Serdang. Untuk mengetahui sejauh mana kemampuan Pojok UKM memberikan kepuasan melalui produk, pelayanannya, finansial, pengiriman serta kondisi perusahaan, diperlukan riset pemasaran informasi dari hasil riset pemasaran tersebut bertujuan mengetahui sikap dan perilaku para pelanggan terhadap apa yang paling berpengaruh dalam pengambilan keputusan menjadi pelanggan Pojok UKM pada Dinas Koperasi, Usaha Kecil dan Menengah Kabupaten Deli Serdang. Penelitian ini dimulai dari tahap menganalisa sistem yang ada saat ini yang diperoleh dari wawancara langsung dengan pihak terkait dan observasi. Sedangkan metode perancangan menggunakan Unified Modelling language (UML) untuk  menggambarkan rancangan sistem. Dalam hal ini untuk menghitung tingkat kepuasan pelanggan digunakan metode AHP (Analytical Hierarchy Process). Dengan menggunakan sistem pengambilan keputusan dapat memberikan kemudahan Pojok UKM Deli Serdang untuk menentukan kepuasan pelanggan dalam meningkatkan kualitas-kualitas untuk menentukan tingkat kepuasan pelanggan yang diaplikasikan menggunakan pemrograman PHP dan Database MySql.. Sistem dikembangkan menggunakan pendekatan rekayasa perangkat lunak, meliputi analisa, perancangan dan implementasi. Pada tahapan analisa, dilakukan analisa proses, analisa masukan, analisa keluaran, analisa kelemahan sistem yang berjalan serta analisa kebutuhan. \u0000  \u0000Keywords: Sistem Pendukung Keputusan, Kepuasan Pelanggan, AHP, PHP, dan MySQL. \u0000Abstract \u0000  \u0000In order to increase customer satisfaction at the Deli Serdangmaka UKM Corner a study was conducted on the level of customer satisfaction at Deli Serdang SME Corner. To find out the extent to which UKM UKM's capabilities provide satisfaction through product, service, financial, shipping and company conditions, marketing research information from the results of marketing research is needed to find out the attitudes and behavior of customers towards what is most influential in making decisions at SME Corner customers at Office of Cooperatives, Small and Medium Enterprises in Deli Serdang Regency. This research starts from the stage of analyzing existing systems that are obtained from direct interviews with related parties and observations. While the design method uses the Unified Modeling language (UML) to describe system design. In this case, to calculate the level of customer satisfaction, the AHP (Analytical Hierarchy Process) method is used. By using a decision-making system, it can provide convenience for Deli Serdang SME Corner to determine customer satisfaction in improving the quality to determine the level of customer satisfaction that is applied using PHP and MySQL Database programming. The system was developed using a software engineering approach, including analysis, design and implementation . At the analysis stage, process analysis,","PeriodicalId":430012,"journal":{"name":"JURNAL ARMADA INFORMATIKA","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117087904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}