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Pengembangan Sistem Perencanaan Jadwal dan Rute Perjalanan Passage to ASEAN Journey Rahmalia Syahputri; Muhamad Danang Wijaya; Anggi Andriyadi; Taufik Taufik; Handoyo Widi Nugroho
TEKNIKA Vol. 16 No. 2 (2022): Teknika Juli - Desember 2022
Publisher : Politeknik Negeri Sriwijaya

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Passage to ASEAN (P2A) merupakan program yang dibentuk dengan tujuan untuk menyiapkan mahasiswa, dosen dan alumni untuk menyongsong dan berpartisipasi dalam ASEAN Community 2015 melalui perjalanan sosial, seni, dan budaya. Program tersebut beranggotakan perguruan tinggi dari seluruh negara ASEAN. Salah satu program Passage to ASEAN adalah P2A Journey. Program ini dilaksanakan dengan mengirimkan mahasiswa untuk melakukan perjalanan ke universitas –universitas di negara ASEAN yang sudah tergabung dalam P2A dengan minimal jumlah negara yang harus dikunjungi adalah 3 negara. Perguruan tinggi yang akan melakukan perjalanan harus menyusun jadwal dan rute perjalanan tersebut yang dilakukan oleh koordinator masing – masing perguruan tinggi. Website P2A Journey dibuat dengan tujuan untuk membantu koordinator program P2A dalam menganalisis metode penentuan rute dan anggaran biaya yang lebih akurat dan efisien. Untuk pembangunan sistem website P2A Journey, peneliti menggunakan model prototype.

Perancangan Media Informasi Pusat Bahasa Dan Pelatihan IIB Darmajaya Berbasis Website Rahmalia Syahputri; Anggi Andriyadi; Handoyo Widi Nugroho; Handi Yuga; Taufik Taufik
TEKNIKA Vol. 16 No. 2 (2022): Teknika Juli - Desember 2022
Publisher : Politeknik Negeri Sriwijaya

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Unit Pelaksana Teknis (UPT) Bahasa dan Training center (TC) merupakan salah satu unit usaha yang dimiliki oleh IIB Darmajaya. Saat ini metode yang digunakan oleh UPT Bahasa dan Training center hanya mengunakan brosur-brosur saja sehingga promosi yang ditawarkan belum terakses oleh masyarakat luas. Sedangkan kebutuhan terhadap lembaga kursus dan pelatihan sangat diminati oleh pangsa pasar, baik nasional maupun internasional. Untuk mengtasi hal ini, telah dibangun media promosi berbasis website yang berisi informasi dan promosi mengenai fungsi dan program-program yang ditawarkan oleh Unit Pelaksana Teknis (UPT) Bahasa dan Training center (TC). Sistem ini dibangun menggunakan metode Prototype dan menggunakan bahasa pemrograman PHP, Dreamweaver, dan database MySQL. Media ini memiliki fitur news, gallery, program bahasa dan pelatihan, pendaftaran, dan cetak laporan. Website ini telah diuji berdasarkan masukan dan luarannya. Uji coba menunjukkan tiap-tiap halaman telah berfungsi sesuai rancangan dan tujuannya.

Web-Based Marketplace Private Lesson Engingeering in Bandar Lampung Halimah Yunus; Indera Indera; Sushanty Saleh; Handoyo Widi Nugroho
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Education is the most important thing in our life. Every human being has the right to education and always develops in it. Along with the rapid development of the world of education, the paradigm of society which still considers that the quality of education of a student is the responsibility of the teachers at the school has now shifted. Problems that then arise through searches like this, among others, are the search for prospective private tutors that take It took quite a long time, it was difficult to find a suitable location and time between prospective tutors and students, could not find out the competencies, achievements, and track-records of prospective private tutors so it was difficult to find the best prospective private tutors. After identifying and making a design flow In the process of collecting data, the next step in the process of making this application is to determine the data source. Sources of data used in this study, mostly secondary data which is data that has been processed, data obtained by taking report data, notes and results of previous research or studies that are directly related to the problems discussed. The data sources include: literacy books, interviews and websites belonging to several experts. Implementation of research results is the stage where the system is ready to operate. The author carries out training for system users by providing sufficient understanding and knowledge about the position and function of the interface of the related information system. This system is shown to the admin or system manager. This is so that system users can understand system work procedures and reduce errors that hinder the smooth use of the system. The e-marketplace system created can make it easier for parents to find private teachers. The e-marketplace system provides many choices of private teachers who have criteria according to what consumers or parents need. The application of a website- based e-marketplace system also makes it easy for teachers to promote their expertise to be able to teach students privately according to their level of education and experience.Keywords— Teacher, Private, System, E-marketplace.

Komparasi Algoritma C4.5 dan Naive Bayes Dalam Prediksi Penderita Penyakit Gagal Jantung Robby Anggriawan; Handoyo Widi Nugroho
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 5, No 2 (2022): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v5i2.3433

Every year more than 36 million people die from Non-Communicable Diseases (PTM) (63% of all deaths). More than 9 million deaths from non-communicable diseases occur before the age of 60, and 90% of these “early” deaths occur in low- and middle-income countries. Globally PTM the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as: coronary disease, heart failure or heart failure, hypertension and stroke. An estimated 17.3 million deaths are caused by cardiovascular disease.Keywords: C45 algorithm and naïve bayes algorithm; Rapid Miner;

Perbandingan Decision Tree C4.5 dan Support Vector Machine (SVM) Dalam Klasifikasi Penderita Stroke Berbasis PSO Chindu Lintang Buana; Handoyo Widi Nugroho
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 1 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i1.3429

Stroke is a major health problem for today's modern society. At present, stroke is increasingly becoming a serious problem that is faced almost all over the world. This is because a sudden stroke can result in death, physical and mental disability in both productive and old age. To obtain stroke information data, it is necessary to carry out data mining processes such as classification. Classification is a process for determining a model that explains or distinguishes concepts or data classes, with the aim of being able to estimate the class of an object whose class is unknown, in classification a number of records are also given which are called training sets, which consist of several attributes, attributes can be be continuous or categorical, one of the attributes specifies the class for the record In the above problems regarding stroke, to be able to overcome this problem, a lot of research has been carried out in the field of computer science, including the Classification of Stroke Patients Using the C4.5 Decision Tree Algorithm and the Support Vector Machine (SVM) Algorithm to classify the most important factors for this disease. The test resulted in a fairly high accuracy of the C4.5 Decision Tree Algorithm, which was 96.11%. Referring to the results of the accuracy of the research, it can be seen that the Decision Tree produces high accuracy, but the results of this accuracy can still be improved by conducting further research to produce higher accuracy by adding Optimization Feature Weighting PSO.Keywords: Accuracy, Stroke, PSO, C4.5 Decision Tree Algorithm. Support Vector Machine (SVM) Algorithm

Penentuan Kelayakan Penerima Pembiayaan Kredit Menggunakan Metode Naive Bayes dan Algoritma C4.5 (Studi Kasus: KSPPS BMT Adil Berkah Sejahtera) Tri Ardiyanto; Handoyo Widi Nugroho
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 1 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i1.3431

Banking provides credit services to facilitate the community in running a business. To minimize risk, banks need to analyze the feasibility of extending credit to customers. This research aims to obtain the best procedure for classifying credit worthiness to customers. The reason for choosing the best method is the method that is appropriate for use in the classification of credit granting with the highest accuracy value. The highest accuracy was selected through a comparison of the c4.5 and naive bayes algorithms. The accuracy results obtained from the c4.5 algorithm with three tests were 91.23% and AUC 0.686 while Naive Bayes produced an accuracy of 89.90% and AUC 0.744 Keywords: Creditworthiness, classification, algorithm c4.5, naive bayes

Komparasi Algoritma C4.5 dan Naive Bayes Dalam Prediksi Penderita Penyakit Gagal Jantung Robby Anggriawan; Handoyo Widi Nugroho
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 1 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i1.3425

Every year more than 36 million people die from Non-Communicable Diseases (PTM) (63% of all deaths). More than 9 million deaths from non-communicable diseases occur before the age of 60, and 90% of these “early” deaths occur in low- and middle-income countries. Globally PTM the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as: coronary disease, heart failure or heart failure, hypertension and stroke. An estimated 17.3 million deaths are caused by cardiovascular disease.Keywords: C45 algorithm and naïve bayes algorithm; Rapid Miner;

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