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Jurnal Repositor
Published by Universitas Muhammadiyah Malang
ISSN : 27147975     EISSN : 27161382     DOI : http://dx.doi.org/10.22219
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Jurnal Repositor dipublikasikan oleh Universitas Muhammadiyah Malang dan dikelolah Program Studi Informatika. Jurnal Repositor merupakan jurnal ilmiah dengan ruang lingkup keilmuan bidang ifnormatika. Jurnal ini mempublikasikan hasil penelitian, telaah ilmiah dan serangkaian hasil studi yang berkaitan.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 360 Documents
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Sampul dan Redaksi Vol. 4, No. 4 November 2022 Aditya Dio Waskito
Jurnal Repositor Vol 4 No 4 (2022): November 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v4i4.1594

Abstract

Rancang Bangun Perangkat Lunak Perhitungan Metrik Cyclomatic Complexity Berdasarkan Control Flow Graph Berbasis Web Fajarisma Asfiana Putri; Gita Indah Marthasari; Ilyas Nuryasin
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1469

Abstract

Pengujian perangkat lunak merupakan salah satu fase yang penting untuk dilakukan dalam membangun perangkat lunak. Salah satu jenis pengujian yang digunakan adalah whitebox testing dengan metode cyclomatic complexity (CC). Salah satu cara yang dapat digunakan untuk pengujian metode cyclomatic complexity adalah dengan menghitung banyaknya node dan edge dari control flow graph (CFG) yang merepresentasikan suatu kode program. Tujuan penelitian ini adalah membuat sebuah perangkat lunak perhitungan otomatis nilai CC dari CFG kode sumber perangkat lunak. Sistem yang dibuat ini akan mendeteksi serta menghitung banyaknya node dan edge dari sebuah gambar CFG yang kemudian diproses untuk mencari nilai cyclomatic complexity berdasarkan metrik CC. Sistem yang dibuat kemudian diuji menggunakan kode sumber website infotech.umm.ac.id. Hasil pengujian yang didapatkan dari implementasi sistem terhadap website infotech adalah nilai cyclomatic complexity sebesar 1,4881 dengan tingkat kompleksitas sistem rendah, nilai resiko rendah, dan bad fix probability sebesar 5%.
Sistem Pendukung Keputusan Pemilihan Lokasi Tanah Strategis di Kota Mataram Menggunakan Metode AHP-TOPSIS Dati Nafa Alfiana; Christian Sri Kusuma Aditya; Galih Wasis Wicaksono
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1473

Abstract

Land location selection is very important for investors, businessmen, the community or for newcomers. The strategic land selection decision support system in the city of Mataram using the AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods has the aim of providing recommendations for strategic land locations to build shops, shopping centers or boarding houses or rented houses. for investors, businessmen or newcomers. In this study, the AHP method used to determine the criteria was carried out by the AHP method while the ranking stage was carried out by the TOPSIS method. In this study using 4 criteria, namely price, location, area, risk and getting results in the first rank, namely the value of 0.792853 and the tests carried out in this study were testing the accuracy of the results with calculations using the Cross-validation and the accuracy values obtained from the combination of both methods reached 85%.
Rancang Bangun Sistem Sistem Informasi Pengelolaan Aset Pada Badan Pendapatan Daerah Kabupaten Malang Frengky Prastyo; Gita Indah Marthasari; Ilyas Nuryasin
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1474

Abstract

Aset adalah barang tak habis pakai (Noncomsumable) yang mempunyai umur lebih dari 12 bulan di perusahaan. Kegiatan operasional dapat terhambat apabila tidak adanya informasi yang tepat. Kebutuhan informasi yang tepat tentang aset yang dimiliki perusahan atau instansi sangat penting guna memperbaiki kinerja serta efisiensi pada perusahan atau instansi. Badan Pendapatan Daerah Kabupaten Malang memiliki aset yang begitu banyak seperti, aset kendaraan, peralatan dan mesin, meja, kursi, dan aset penunjang pekerjaan lainnya. Tentu dengan begitu banyak aset yang dimiliki Badan Pendapatan Daerah Kabupaten Malang mengalami kesulitan dalam mengolah data aset. Pembuatan laporan yang akurat, muda mengakses informasi data aset instansi, kelola data aset yang optimal, memiliki struktur yang baik, harus dilakukan guna mendapat hasil data aset yang akurat dan dapat membantu menyelesaikan permasalahan dalam mengelola data aset. Oleh karena itu, perlu dibangun sistem informasi manajemen aset untuk menghindari kesalahan manajemen dalam masalah aset. Sistem ini ditulis dalam kerangka Codeigniter, yang didasarkan pada PHP open source dan memiliki konsep pengontrol (model, view, controller). Model untuk pengembangan sistem yaitu Prototyping. Pada perancangan sistem dilakukan menggunakan memakai tools Unifield Model Language (UML). Aplikasi yang dipakai berbasis website memakai MySQL menjadi penyimpanan database. UML yang dibentuk terdiri menurut Use case Diagram, Squence Diagram, Class Diagram & ERD. Hasil menurut penelitian ini merupakan sistem yang bisa sebagai wahana pencatatan aset, permintaan aset, mutasi aset & menampilkan laporan buat pengelolaan aset.
Sistem Informasi Usaha Jasa Akomodasi Berbasis Web Pada Badan Pusat Statistik Kota Batu Muhammad Iqbal Ramadhan; Gita Indah Marthasari; Wildan Suharso
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1476

Abstract

Saat ini teknologi sistem informasi dan komunikasi semakin berkembang yang menyebabkan teknologi web menjadi sebagai suatu fasilitas yang mendukung ke hampir seluruh sektor kehidupan manusia, tak terkecuali sektor pemerintahan, khususnya BPS Kota Batu. Salah satunya dengan adanya sistem informasi jasa akomodasi Kota Batu yang dibangun untuk mempermudah pengelolaan data akomodasi di BPS. Sistem ini dibangun menggunakan metode prototyping yang mana membutuhkan beberapa iterasi. Berdasarkan hasil pengujian Blackbox dan User Acceptance Test dapat diperoleh kesimpulan bahwa sistem ini dapat berjalan sesuai dengan fungsinya. Sistem ini dibagun dalam bentuk web menggunakan MySQL, PHP, HTML, lalu terdapat aplikasi android khusus digunakan untuk petugas.
Rancang Bangun Web Pengelolaan Hutan Rakyat Dengan Metode Personal Extreme Programming Dipa Maulana Rifqi Wicaksana; Evi Dwi Wahyuni; Ilyas Nuryasin
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1496

Abstract

In the last few years software has developed very rapidly around the world. Various methods are used to build the project according to the needs of client. Not all clients can clearly describe their needs and tend to change following the software development process. This development cannot be done if the software development method is still conventional. One of the software development methods that can follow changes from the client is Extreme Programming. Being flexible and able to provide results according to client requirements, Extreme Programming is the right choice for software development that requires relatively short development time and only one developer member makes this method suitable for use in small projects with short durations. Combined with the MoSCoW method to determine priority values, it will be easier for developers to determine the best needs for clients.
Segmentasi Citra X-Ray Paru dengan Deep Learning Muhammad Hussein; Agus Eko Minarno; Yufis Azhar
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1498

Abstract

Image segmentation is one of the main things in the study of computer vision and image processing. One example is the processing of lung x-ray images to find out diseases in the lungs. U-net is a segmentation model that has been created to make it easier for someone to build a model for image segmentation. U-net can be used on any image. From its advantages, the researchers tried to use U-net in combination with Inception, MobileNet and EfficientNet to segment medical x-ray images of the lungs. The image is resized to 512 x 512 pixels. Augmentation that is done is zoom range, height shift, width shift and horizontal flip. Epoch is 200 and batch size is 4. The best scenario in this research is to use U-net Efficientnetb0 with dice value of 0.967, Jaccard of 0.937.
Implementasi M-commerce pada Toko Hijab dengan Menggunakan Personal Extreme Programming Yudi Ananta Prasetya; Wildan Suharso; Gita Indah Marthasari
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1502

Abstract

Rumah Muslimah is a hijab shop that is engaged in fashion. Some of the problems experienced by Rumah Muslimah are the conventional ordering system and the inadequate promotion system. Therefore, Rumah Hijab requires an application that can be accessed by all its customers and can also be a tool to facilitate transactions between cities. The development method used in this research is Personal Extreme Programming (PXP). PXP is a development inherited method of Extreme Programming (XP). The application that will be built in this research is a mobile-based store application. The first phase that is carried out is the need, namely looking for the requirements needed to create an application. The next stage is to determine the priority of a feature with the client. Development will be carried out according to the iterations that have been determined together. The result of this research is that PXP can be applied in the development of mobile applications for Rumah Muslimah. The ability and experience of programmer will greatly affect the duration of the work.
Mendeteksi Ekspresi Wajah dengan Meninjau Iris Mata Menggunakan Metode Transformasi Hough dan K-Nearest Neighbor (KNN) Ningsih Djamsi; Didih Rizki Chandranegara; Zamah Sari
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1504

Abstract

The face has differences (characteristics), besides that the face is also the center of expression in humans. Directly facial expressions become a non-verbal communication, many factors can support detecting a person's facial expressions such as movements and changes in eyebrows, lips and eyes. In this study, the focus is on the iris as the object of observation. There are two test scenarios to detect facial expressions based on facial images, using the TFEIDHigh dataset. The first scenario uses the KNearest Neighbor (K-NN) method with an accuracy quality of 80.0% and an execution time of 61.3831 Seconds. The second scenario uses the Convolutional Neural Network (CNN) method with an accuracy of 80.0% with an execution time of 656,730 Seconds.
Low Rate DDOS Attack Detection Using KNN On SD-IOT Achmad Irfani Nur Iman; Fauzi Dwi Setiawan Sumadi; Zamah Sari
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1520

Abstract

Internet of Things (IoT) devices are highly developed and can be found in everyday life such as watches, smart lights and so on. For now, there are 24 billion IoT devices connected to the internet and the number will continue to grow. The number of IoT devices connected to the internet means there are many security holes that can be exploited by irresponsible people to carry out attacks that have a wide impact on the network. One of the attacks that can be done is Low Rate Attack. To solve these problems, many researchers have created a new paradigm in networking, which is to take advantage of the advantages of Software Defined Network (SDN) to be applied to IoT networks. This study proposes a classification method for detecting low rate attacks using machine learning using the K-Nearest Neighbors (KNN) algorithm. This study also proposes a new feature scheme for the dataset by utilizing the port statistics feature in the SDN environment. The results showed that the KNN classification model applied got good results, namely 92% when evaluating the model applied to the SD-IoT environment. On the other hand, the lowest packet loss is 1.6% and the highest packet loss is 99%, this can be greatly influenced by the hardware resources used because the detection system requires high hardware resources.

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