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Jurnal Transformatika
Published by Universitas Semarang
ISSN : 16933656     EISSN : 24606731     DOI : -
Core Subject : Science,
Computer Science & IT
Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information Systems, Web Technology, Computer Networks, Artificial Intelligence, and Multimedia.
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Articles 344 Documents
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Classification Covid-19 Based on X-Ray Using GLCM and ANN Backpropagation Riyanto, Ghafur Ade
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.4518

Abstract

Coronavirus (Covid-19) is a disease that belongs to a large family of disorders that can cause mild to severe symptoms. The coronaviruses Middle East Respiratory Syndrome (MERS) and Serious Acute Respiratory Syndrome (SARS) are two types of coronaviruses that cause severe illness (SARS). According to WHO estimates as of December 17, 2021, Covid-19 has infected about 271,963,258 individuals, with a death rate of 5,331,019 cases. Hospitals only have a limited number of Covid-19 test kits because of the daily increase in cases. As a result, to prevent the spread of Covid-19 among persons, it is necessary to develop an automatic detection method as quickly as feasible, as well as other diagnosis options. The goal of this research was to employ GLCM to extract features and the Backpropagation Neural Network classification technique to automatically develop a Covid-19 diagnosis system by classifying the lungs into two groups: normal lungs and Covid-19 lungs. Pre-processing, segmentation, feature extraction, and classification were all used in this study's lung classification method. The accuracy of the test findings was assessed to be 85%. The sensitivity value for the normal class was 92.5%, whereas the sensitivity value for the Covid-19 class was 77.5%. The specification value for the normal class was 22.5%, whereas the specification value for the covid-19 class was 7.5%. It may be deduced from the accuracy, sensitivity, and specification percentages that the developed system is capable of categorizing lungs using X-Ray lung pictures.
Implementasi Algoritma C5.0 untuk menentukan Pelanggan Potensial di Kantor Pos Cimahi Harani, Nisa Hanum; Rahayu, Woro Isti; Damayanti, Fanny Shafira
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.3098

Abstract

Kantor Pos Cimahi merupakan perusahaan BUMN yang bergerak pada bidang jasa pengiriman barang. Saat ini banyak perusahaan swasta yang bergerak dalam bidang jasa pengiriman barang, sehingga menyebabkan banyaknya pesaing bagi Kantor Pos Cimahi dan dapat menyebabkan pelanggan yang menggunakan jasa Kantor Pos Cimahi berkurang. Oleh karena itu diperlukan suatu sistem yang dapat membantu Kantor Pos Cimahi untuk dapat menentukan pelanggan potensial agar dapat diketahui pelanggan mana yang potensial sehingga dapat diberikan perlakuan khusus agar pelanggan tersebut tetap menggunakan jasa Kantor Pos Cimahi. Sistem yang dibangun menggunakan bahasa pemrograman PHP dan metode Algoritma C 5.0 yang merupakan salah satu algoritma pohon keputusan yang dapat membantu untuk menentukan pelanggan potensial. Penelitian menggunakan data transaksi periode bulan januari oktober 2020 dimana atribut yang digunakan yaitu bulan, nama perusahaan, jenis kiriman yang digunakan, jumlah transaksi selama sebulan, dan total uang. Hasil penelitian menunjukan bahwa algoritma C 5.0 mampu melakukan menentukan data pelanggan potensial dengan akurasi sebesar 96%.
IMPLEMENTASI ALGORITMA LINEAR REGRESSION UNTUK PREDIKSI HARGA SAHAM PT. ANEKA TAMBANG TBK Hermanto, Teguh Iman; Nugroho, Imam Ma ruf; Sunandar, Muhamad Agus; Totohendarto, Mochamad Hafid
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.4396

Abstract

Stock investments that provide high returns, but the higher the benefits offered, the higher the risk that will be faced in investing, especially if it is not supported by knowledge of analyzing stocks. This study utilizes the Data Mining prediction technique with the Linear Regression algorithm on the shares of PT. Aneka Tambang Tbk or ANTM. The dataset that will be used is downloaded through the Yahoo Finance website in the period January 2016 - March 2021. In this study the analytical method used is SEMMA (Sample, Explore, Modify, Model, Assess). With RapidMiner Studio 9.9 tools. The result of testing the RMSE (Root Mean Squared Error) value is 17.135, MSE (Mean Squared Error) is 293.599 and the MAPE (Mean Absolute Percentage Error) value is 1.87%. Based on the MAPE, the accuracy of the Linear Regression algorithm in predicting the stock price of PT. Aneka Tambang Tbk provides high-accuracy predictions.
Clustering Performa Pemain Basket Berdasarkan Posisi dan Statistik Pemain Menggunakan Metode Fuzzy c-Means Gregorry, Febrianus; Nataliani, Yessica
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5137

Abstract

Satya Wacana Saints Salatiga is one of the professional teams that compete in Indonesian Basketball League (IBL). Player evaluation has been done as an effort to maintain the quality and performance of all players which can be used as team records. They can also make a couple of improvements within the team for the next season. Classifying the players performance by using the fuzzy c-means algorithm is the aim of this research. Player performance is determined based on five kinds of player statistical criteria, namely points, assists, blocks, rebounds, and steals from each position. The assessment carried out in this study is using weighting criteria for each position. The grouping by weighting aims to get the highest to the lowest scores from each player so that they can be grouped into three performance groups; good, moderate, and poor performance. The results of the fuzzy c-means grouping of 15 players of the Satya Wacana Saints Salatiga team with weighting obtained three players with good performance, five players with moderate performance, and seven players with poor performance. Meanwhile, the results of the fuzzy c-means grouping without weighting obtained five players with good performance, three players with moderate performance, and seven players with poor performance. Both grouping results are compared with the actual performance data. The result of the comparison was found that the grouping with weighting resulted in an accuracy rate of 100% and the grouping without weighting resulted in an accuracy rate of 86.67%. Grouping with weighting on different statistical values for each player position has an effect on player performance. Each player position has different strengths in scoring points, assists, rebounds, steals, block shoots, and field goals.
IMPLEMENTATION SIMPLE ADDITIVE WEIGHTING METHOD IN DETERMINING FEASIBILITY SACRIFICIAL ANIMALS Saputro, Nugroho Dwi; Waliyansyah, Rahmat Robi; Novita, Mega
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.4542

Abstract

Many things from the life sector have used the existence of technology. Where a technology is able to help various problems in various fields such as livestock and agriculture. Computers have been included in it as a tool to do a job or identify existing problems. However, sometimes as a practitioner in the field of animal husbandry, especially qurban animals, they come to the conclusion that it is often found that sacrificial animals in the market that want to be sacrificed do not meet the requirements both in syari ah (law) and health. With the application of determining the feasibility of sacrificial animals according to the Syariah using the web-based Simple Additive Weighting (SAW) method. This system is later expected to be able to determine whether or not a sacrificial animal will be sacrificed so that the community or people who sacrifice are not harmed and the reward for the sacrifice is perfect.
Identifikasi Wilayah Resiko Kerusakan Lahan Terbangun Sebagai Dampak Tsunami Berdasarkan Analisis Building Indices Permatasari, Aurilia Dinda; Joko Prasetyo, Sri Yulianto
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5209

Abstract

Indonesia has a very large water area and there is the territory that is the confluence of the earth's slabs. It can allowing the occurrence of tsunami natural disasters. The study aims to find out which areas have risks the highest and the lowest land damage. The data used in this study were satellite images taken from 2014-2021 with coverage area in Kulon Progo Regency which consists of 12 sub-districts. This study used indexes vegetation UI, NDBI, IBI, EBBI. With an ANN algorithm get results which is quite accurate with an accuracy rate of 94.50%. Predictions states that the area has a high risk of damage due to the tsunami, namely the villages of Jingkaran, Sindutan, Palihan, Glagah, Karangwuluh, Janten, Temon Kulon, Kedundang, Sogan, Kalidengen, Ngestiharjo, Depok, Kanoman, Panjatan, Wahyuharjo, Pandowan, Nomporejo, and, Kranggan.  
Klasifikasi Resiko Tsunami di Daerah Pantai Selatan Jawa Tengah dengan Menerapkan Algoritma SVM (Studi Kasus Kab. Kebumen) Wahani, Puteri Justia Kardia Momuat; Prasetyo, Sri Yulianto Joko
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5297

Abstract

Tsunami adalah salah satu bencana alam yang dapat terjadi kapan saja yang keberadaannya tidak dapat dihindari. Kabupaten Kebumen adalah salah satu daerah yang bertempat di bagian pantai selatan Provinsi Jawa Tengah yang memiliki risiko terkenanya bencana tsunami. Hal ini terjadi akibat lokasi dari kabupaten kebumen yang berada dekat dengan perairan dan memiliki banyak luas wilayah pada dataran rendah. Penelitian ini dilakukan agar dapat memberikan informasi mengenai risiko yang dapat terjadi pada wilayah tersebut dengan melakukan prediksi dan klasifikasi dengan menggunakan data dari Citra Landsat-8 OLI yang diambil dari USGS serta memanfaatkan 5 indeks vegetasi yaitu NDVI, NDBI, NDWI, MNDWI, dan WI dengan penerapan metode Support Vector Machine (SVM) yang merupakan salah satu metode machine learning yang digunakan untuk klasifikasi. Pada penelitian ini didapatkan ada 11 desa yang diprediksi berisiko tinggi terkena tsunami dengan nilai akurasi yang didapatkan sebesar 0.945 dan nilai kappa sebesar 0.914 dimana semakin tinggi nilai yang didapatkan maka semakin tinggi juga ketepatan hasil prediksi yang diperoleh.
Analisis Manajemen Risiko Sistem Informasi Menggunakan Information System Success Model (ISSM) Irawan, Nanang
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5264

Abstract

PT PGAS Solution merupakan perusahaan yang didirikan pada tahun 2009 sebagai anak perusahaan dari PGN yang berfokus pada aspek teknik dan operasional di bidang gas. Perusahaan ini memiliki satuan kerja yang bekerja untuk mengelola informasi mengenai Manajemen Risiko, pengelolaan tersebut menggunakan aplikasi sistem informasi Risk Manajemen Online (Risoles). Pada penelitian ini menggunakan kuesioner berdasarkan   6(enam ) dimensi berdasarkan   metode ISSM (Information System Success Model) yaitu System Quality, Information Quality, Use, User Satisfaction, Individual Impact dan Organizational Impact. Kemudian jawaban dari responden di olah menggunakan bantuan software SmartPLS.Hasil dari penelitian ini Menunjukan bahwa terdapat pengaruh Information Quality terhadap Intention to Use/Actual Use dan adanya pengaruh intention to use terhadap net benefit, dimana hasil ini akan menjadi penilaian terhadap pengaruh Aplikasi system informasi terhadap suatu keputusan dalam kinerja individu untuk meningkatkan kualitas kinerja pegawai dan dapat dijadikan acuan dalam pengembangan aplikasi Risoles pada perusahaan PT PGAS Solution.
Sistem Pendeteksi Banjir dengan Sensor Ultrasonic berbasis Mikrokontroller di kota Pangkalpinang Septryanti, Ade; Magdalena, Hilyah; Santoso, Hadi; Juhri, Juhri
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.3672

Abstract

Provide convenience and information to BPBDs and people living in flood-prone environments that are usually unknown to homeowners without getting information about the arrival of floods in the area.  So we need a system that can detect the water level of the river. For that, it is necessary to install a device that can read the water level in the form of an ultrasonic sensor and a microcontroller as well as a GSM SIM900A module. The research method used is literature study, problem analysis, system design and implementation.The results achieved in this study are able to help provide information in the form of sirens and SMS services in the form of short messages about flood alert levels that are sent to the community and the BPBD.
ANALISIS KINERJA PROTOKOL ROUTING ZRP DAN TORA PADA KOMUNIKASI BERBASIS MANET DAN WMN UNTUK PENANGGULANGAN DAERAH BENCANA sabiq, ahmad; Milayanti, Maulida Devi
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5184

Abstract

Pada saat bencana alam yang mengakibatkan infrastruktur jaringan dan komunikasi di suatu wilayah menjadi lumpuh, dibutuhkan suatu sistem komunikasi yang berjalan tanpa infrastruktur jaringan. Komunikasi yang dilakukan dalam penanganan bencana dapat dilakukan menggunakan perangkat komunikasi yang berbasis Mobile ad-hoc Network (MANET) yang tidak membutuhkan infrastruktur jaringan, atau dapat juga menggunakan perangkat komunikasi yang berbasis wireless mesh network (WMN) yang menggunakan beberapa node router yang ditempatkan secara terbatas. Pada penelitian ini, dilakukan simulasi sistem komunikasi berbasis jaringan MANET dan WMN menggunakan Network Simulator 2 versi 2.35 dengan protokol routing ZRP dan TORA. Simulasi diuji dengan empat skenario yang berbeda. Parameter yang digunakan untuk menguji kinerja jaringan adalah packet delivery ratio, end to end delay, throughput dan routing overhead. Dari hasil pengujian, protokol routing TORA pada skenario node sudah tersebar dan protokol routing ZRP untuk seluruh skenario di jaringan WMN memiliki nilai rata-rata packet delivery ratio yang tinggi. Sedangkan protokol routing TORA pada skenario node yang menyebar memiliki nilai rata-rata end-to-end delay yang rendah serta throughput yang tinggi. Pada jaringan MANET memiliki nilai rata-rata end-to-end delay yang rendah serta throughput yang tinggi dan protokol routing TORA dengan skenario node yang menyebar memiliki nilai rata-rata packet delivery ratio yang tinggi serta routing overhead yang tinggi.

Page 25 of 35 | Total Record : 344

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