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All Journal Jurnal Dedikasi Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknik Informatika (JUTIF) Jurnal Ilmu Komputer dan Informatika
Dadang Iskandar
Informatika, Fakultas Teknik, Universitas Jenderal Soedirman, Indonesia
Computer Science & IT Electrical & Electronics Engineering Library & Information Science Social Sciences

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
APLIKASI FORUM DISKUSI HIMPUNAN MAHASISWA TEKNIK UNIVERSITAS JENDERAL SOEDIRMAN MENGGUNAKAN LARAVEL Fisal Satria; Nur Chasanah; Dadang Iskandar
Jurnal Teknik Informatika (Jutif) Vol. 1 No. 1 (2020): JUTIF Volume 1, Number 1, June 2020
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2020.1.1.5

Abstract

Forum Online merupakan tempat untuk berbagi pengetahuan secara umum. Tidak ada batasan bagi orang lain untuk melihat diskusi merupakan keunggulan dari Forum Online. Penyebaran informasi akan menjadi lebih luas. Penggunaan aplikasi selain Forum Online memiliki keterbatasanm yaitu pengguna harus terlebih dahulu menjadi anggota untuk dapat membaca diskusi. Hal tersebut mengakibatkan proses penyebaran informasi kurang efisien, dikarenakan adanya tambahan proses untuk melakukan penyebaran informasi menuju ke pembaca yang lebih luas. Aplikasi Forum Diskusi Himpunan Mahasiswa Teknik Universitas Jenderal Soedirman merupakan sarana tempat untuk berdiskusi bagi Mahasiswa Teknik Universitas Jenderal Soedirman. Dengan adanya aplikasi ini mahasiswa tidak perlu lagi repot untuk membaca diskusi karena tidak perlu bergabung terlebih dahulu, serta bagi himpunan penyebaran informasi akan menjadi lebih luas dan lebih efisien. Aplikasi ini dibuat dengan menggunakan metode pengembangan Waterfall, Bahasa pemrograman PHP, Framework Laravel, dan menggunakan MYSQL.
ANDROID-BASED SHUTTLE ORDER APPLICATION USING FRAMEWORK FLUTTER Mochammad Muslih Maruzi; Dadang Iskandar; Yogiek Indra Kurniawan
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.150

Abstract

The shuttle ticket order process is the main process when someone is going to travel using shuttle transportation. The process of ordering shuttle tickets by visiting shuttle pool in the area or ordering by call has several problems that often make prospective passengers feel a lack of effectiveness and efficiency. This study aims to create an application that makes it easier for prospective passengers to order shuttle tickets and obtain shuttle information and make it easier for service providers to manage fleets and manage orders. This application created by using the waterfall method. The main stages in the system development life cycle in this method, namely: analysis, design, coding, and testing. This application is divided into two parts, Android-based using the Flutter Framework for potential passengers and web-based with PHP programming language for service providers. Black Box test results show valid results, which means the application is as expected. The results of the User Acceptance Test show an average value of 87% in "Very Good" category, which means this application is feasible to use.
IMPLEMENTATION OF THE WATERFALL METHOD IN THE DESIGN OF A WEBSITE-BASED BOOK LENDING SYSTEM Teguh Cahyono; Susi Setianingsih; Dadang Iskandar
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.285

Abstract

The application of information technology in the library can increase the acceleration of information to the public. One of the library activities that quite a lot of using paper media is borrowing books. The use of ledgers in borrowing books is tantamount to spending a lot of paper with large data and will cause piles later. Therefore, it is necessary to update the book lending system with integrated information technology in order to increase efficiency and effectiveness in the library. The Book Borrowing System or known as TEMANKU is a book lending system that is integrated with the internet to improve operations in book lending activities in the library. In carrying out this activity, a method must be used to implement it. The waterfall method was chosen because it is easy to implement and the system implementation can be implemented in a better and structured manner. On the other hand, the approach used in the design uses data flow diagram ( DFD). The results of this study resulted in the design of a website-based book lending system.
OPTIMIZATION OF THE K-NEAREST NEIGHBORS ALGORITHM USING THE ELBOW METHOD ON STROKE PREDICTION Febri Sutomo; Daffa Ammar Muaafii; Daffa Naufaldi Al Rasyid; Yogiek Indra Kurniawan; Lasmedi Afuan; Teguh Cahyono; Eddy Maryanto; Dadang Iskandar
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.839

Abstract

Stroke is the second most deadly disease in the world according to WHO. The sufferer has an injury to the nervous system. Because of this, health experts, especially in the field of nursing, need special attention. Technological advances continue to change over time so that information needs are needed in life. Currently the data on stroke sufferers is extensive enough so that adequate information presentation techniques are needed so that the information received is very accurate and in accordance with user needs. Therefore, it is necessary to process data mining on stroke patient data to obtain useful information for users. This study aims to prove the performance of the Elbow Method to produce the optimum k value in the stroke prediction data using the K-Nearest Neighbors (KNN) algorithm. The optimum k value is generated from the Elbow Method which is executed with the Google Collaboratory using the Python programming language. The test results show that the Elbow Method produces the optimum k value at k = 7. The KNN model that uses the optimum k value from the Elbow Method can increase the accuracy and precision values ​​reaching 6% and 0.12, respectively.
Co-Authors Aji Nurcahyo Hidayat Aldila Krisnaresanti, Aldila Daffa Ammar Muaafii Daffa Naufaldi Al Rasyid Eddy Maryanto Febri Sutomo Fisal Satria Haryadi Haryadi Kurniawan, Yogiek Indra Lasmedi Afuan Lina Rifda Naufalin Mochammad Muslih Maruzi Nofiyati Nofiyati Nur Chasanah Susi Setianingsih Teguh Cahyono