Garuda - Garba Rujukan Digital

Implementasi Aplikasi Monitoring Nilai dan Kegiatan Siswa Berbasis Android dengan Metode Prototype Juniawan, Fransiskus Panca; Sylfania, Dwi Yuny; Rian Chrisna Putra, Rendy; Sulaiman, Rahmat
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5119

The number of smartphone and internet users in Indonesia is currently very large. This is become the basis for the use and development of mobile-based applications for the advantage of education. However, not all High Schools in Indonesia have a mobile-based system. Another problem is that most of them still use conventional methods in implementing teaching and learning activities, and reporting learning outcomes to parents. This is also still the case at SMA Negeri 1 Pangkalanbaru, Bangka Tengah. This problem is what we want to raise and solve by developing applications that can solve these problems. The research was developed using the Prototype method which consists of stages of Data Collection, Rapid Planning, Prototype Design, and Prototype Testing. By using the UML tool, results are obtained in the form of parents who can monitor grades, school information, and school announcements. In addition, students can take attendance online, register for extracurricular activities, and view announcements. From the testing results it is known that the system performance is running well as it should.

Analisis Keamanan Sistem Informasi Menggunakan Sudomy dan OWASP ZAP di Universitas Duta Bangsa Surakarta Hariyadi, Dedy; Nastiti, Faulinda Ely
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5134

Peretas saat ini tidak hanya menyerang instansi pemerintah seperti pada tahun 2019 melainkan sudah melakukan serangan ke instansi pendidikan. Hal ini sesuai dengan pantauan dan identifikasi Badan Siber dan Sandi Negara bahwa instansi pendidikan telah diserang sebanyak 38% pada tahun 2020. Sebagai wujud tindakan preventif terkait dengan serangan siber pada instansi pendidikan perlu dilakukan sebuah tindakan analisis keamanan informasi terhadap sistem-sistem yang terpasang. Pada artikel ini diusulkan tahapan teknis melakukan analisis keamanan informasi menggunakan perangkat lunak dengan lisensi Free Open Source Software, yaitu Sudomy dan OWASP ZAP. Menggunakan kedua perangkat lunak tersebut didapatkan hasil analisis potensi-potensi celah keamanan pada sistem informasi yang terpasang pada Universitas Duta Bangsa.

Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM) Herlawati, Herlawati; Nidaul Khasanah, Fata; Dina Atika, Prima; Sari, Rafika; Handayanto, Rahmadya Trias
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5139

Land use/cover greatly affect the quality of an area. Therefore, many regional planners need assistance byother fields, such as geoinformatics, computer science, environment, and others. Although prediction and forecasting have been widely studied, in regardto real conditions (geospatial)itstill needmoredevelopment, especially thoseinvolving a combination of regional types, such as urban and suburban areas. This study uses a remote sensing base and geographic information system in predicting land in the city and district of Bekasi, West Java, Indonesia. With two scenarios compared (business as usual and vegetation conservation), the model that has been created and validated (with an AUC accuracy result of 0.828) is used to predict land use change until 2030. Scenarios with vegetation conservation are able to keep green areas to switch to land types others, such as buildings and industry

Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes Nurmalasari, Maulidya Dwi; Kusrini, Kusrini; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5140

Diabetes is caused by a deficiency of the hormone insulin, which is secreted by the pancreas to lower blood sugar levels. The factors that trigger the occurrence of diabetes are derived from various factors such as a combination of genetic and environmental factors. The phenomenon of the emergence of various beverage brand outlets can be one of the triggers for blood sugar levels in humans. Normal blood sugar levels in the body range from 70-130 mg/dL before eating, less than 180 mg/dL two hours after eating, less than 100 mg/dL after not eating or surviving for eight hours, and 100-140 mg/dL at bedtime. This research aims to determine which algorithm is suitable for building knowledge about diabetes using the NaÃ¯ve Bayes and K-Nearest Neighbor (KNN) algorithm. The accuracy results from NaÃ¯ve Bayes are 85.60% and K- Nearest Neighbor of 91.61%. The results showed that K-Nearest Neighbor proved to have the best accuracy.

Analisis Sentimen Opini Terhadap Vaksin Covid - 19 pada Media Sosial Twitter Menggunakan Support Vector Machine dan Naive Bayes Fitriana, Frizka; Utami, Ema; Al Fatta, Hanif
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5185

The corona virus outbreak, commonly referred to as COVID-19, has been officially designated a global pandemic by the World Health Organization (WHO). To minimize the impact caused by the virus, one of the right steps is to develop a vaccine, however, with the vaccination for the Indonesian people, it is controversial so that it invites many people to give an opinion assessment, but the limited space makes it difficult for the public to express their opinion, because Therefore, people choose social media as a place to channel public opinion. Support vector machine algorithm has better performance in terms of accuracy, precision and recall with values â€‹â€‹of 90.47%, 90.23%, 90.78% with performance values â€‹â€‹on the Bayes algorithm, namely 88.64%, 87.32%, 88, 13%, with a difference of 1.83% accuracy, 2.91% precision and 2.65% recall, while for time the Naive Bayes algorithm has a better performance level with a value of 8.1 seconds and the Support vector machine algorithm gets a time speed of 11 seconds with a difference of 2, 9 seconds. With the results of sentiment analysis neutral 8.76%, negative 42.92% and positive 48.32% for Bayes and neutral 10.56%, negative 41.28% and positive 48.16% for SVM.

Sentimen Analisis Terhadap Aplikasi pada Google Playstore Menggunakan Algoritma NaÃ¯ve Bayes dan Algoritma Genetika Rahman, Arif; Utami, Ema; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5188

Sentiment analysis is a science to extract text to get someone's emotions for that. The benefits of sentiment analysis have many benefits, one of which is to see whether or not customers have a good response to the product and this can be an input for the development of the product's business in the future. The weakness of previous studies in research sentiment analysis is that the authors conduct research to improve the results of previous studies using the naÃ¯ve Bayes algorithm that is optimized with a genetic algorithm. From the results of the research that has been done, the average value in this study is on average better than previous studies, no applications have been identified as underfitting or overfitting and finally the naÃ¯ve Bayes algorithm that has been optimized by the genetic algorithm can be a classification solution for sentiment analysis.

Analisis Sentimen Twitter Kuliah Online Pasca Covid-19 Menggunakan Algoritma Support Vector Machine dan Naive Bayes Setiawan, Hendrik; Utami, Ema; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5189

The World Health Organization (WHO) COVID-19 is an infectious disease caused by the Coronavirus which originally came from an outbreak in the city of Wuhan, China in December 2019 which later became a pandemic that occurred in many countries around the world. This disease has caused the government to give a regional lockdown status to give students the status of "at home" for students to enforce online or online lectures, this has caused various sentiments given by students in responding to online lectures via social media twitter. For sentiment analysis, the researcher applies the nave Bayes algorithm and support vector machine (SVM) with the performance results obtained on the Bayes algorithm with an accuracy of 81.20%, time 9.00 seconds, recall 79.60% and precision 79.40% while for the SVM algorithm get an accuracy value of 85%, time 31.60 seconds, recall 84% and precision 83.60%, the performance results are obtained in the 1st iteration for nave Bayes and the 423th iteration for the SVM algorithm

Deteksi Titik Kebakaran Lahan Menggunakan Wireless Sensor Network Kamarudin Kamarudin; Muhammad Ziki Elfirman; Ihdalhubbi Maulida; Finki Dona Marleny; Rudy Ansari; Maman Fatahulrahman
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i1.6264

Kalimantan Tengah merupakan salah satu propinsi yang rawan terjadi kebakaran lahan dan hutan di Indonesia yang memiliki puncak tertinggi kasus kebakaran lahan seluas 317.749 Ha di tahun 2019. Berbagai upaya telah dilakukan oleh pemerintah daearah untuk mencegah terjadinya kebakaran lahan, baik disebabkan oleh alam atau manusia. Penelitian ini dilakukan dengan membuat alat deteksi dini titik kebakaran lahan dengan memanfaatkan 4 sensor, yaitu Soil Sensor (sensor kelembaban tanah), DHT11 (sensor suhu dan kelembaban), Flame Sensor (sesnsor api), dan MQ2 (sensor asap). Pengujian alat dilaksanakan di salah satu kecamatan yang memiliki potensi kebakaran lahan yang tinggi, yaitu di Kecamatan Kumai Kabupaten Kotawaringin Barat. Alat yang diuji akan mengirimkan hasil deteksi ke server web melalui sim 800L, yang kemudian diolah datanya untuk menghasilkan informasi yang ditampilkan ke halaman web, hingga dapat diambil tindakan dini oleh masyarakat dalam pencegahan kebakaran lahan.

Pengetahuan Serta Peran Auditor Secara Komprehensif Dalam Menghadapi Dampak Perkembangan Teknologi Informasi Matheus Supriyanto Rumetna; Tirsa Ninia Lina; Agustinus Budi Santoso; Jeni Karay; Reinhard Komansilan; Big Greogory Kaitelapatay
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i1.6776

The development of Information Technology (IT) currently has an impact on various aspects of life, without exception on the business processes carried out by the company. Companies tend to use IT to improve efficiency with the aim of boosting revenue and improving performance. Utilization of IT has become a very important thing in business processes. This phenomenon affects the behavior and needs of all parties related to the company, either directly or indirectly, including internal auditors and external auditors. One of the most influential impacts on the audit process is the shift from traditional task-based audits to risk-based IT audits. The challenge faced by the auditor in the current condition is how the auditor can conduct an audit effectively and appropriately. The goal is for auditors to know and be able to develop new strategies for conducting audits in the IT environment. Furthermore, a literature study was conducted to identify and analyze problems so as to produce information about IT and auditing, risk and security, auditors in IT governance, IT audit processes, IT audit techniques and strategies for auditors to be able to play a role with the right portion. ABSTRAK Perkembangan Teknologi Informasi (TI) saat ini sangat berdampak pada berbagai aspek kehidupan, tanpa kecuali pada proses bisnis yang dilakukan oleh perusahaan. Perusahaan cenderung memanfaatkan TI untuk meningkatkan efisiensi yang bertujuan mendongkrak pendapatan dan memperbaiki kinerja. Pemanfaatan TI sudah menjadi hal yang sangat penting dalam proses bisnis. Fenomena tersebut mempengaruhi perilaku dan kebutuhan semua pihak yang berhubungan dengan perusahaan baik secara langsung maupun tidak langsung, termasuk auditor internal maupun auditor eksternal. Salah satu dampak yang sangat berpengaruh pada proses audit adalah adanya pergeseran audit tradisional yang berbasis tugas menuju audit TI berbasis resiko. Tantangan yang dihadapi auditor pada kondisi saat ini adalah bagaimana auditor dapat melakukan audit dengan efektif dan tepat. Tujuannya adalah agar auditor mengetahui dan dapat menyusun strategi baru untuk melakukan audit dalam lingkungan TI. Selanjutnya, studi literatur dilakukan untuk mengidentifikasi dan menganalisis masalah sehingga menghasilkan informasi tentang TI dan audit, resiko dan keamanan, auditor dalam tata kelola TI, proses audit TI, teknik serta strategi audit TI kepada auditor agar dapat berperan dengan porsi yang tepat.

Perancangan Aplikasi Katalog Produk PT Petrosida Gresik Berbasis Android Muhammad Farhan Mahesa Ijlal; Umi Chotijah; Darmawan Aditama
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i1.6997

Tujuan penelitian ini adalah untuk merancang dan membangun aplikasi katalog produk PT. Petrosida Gresik dengan berbasis Android. Penelitian ini menggunakan metode metode Waterfall dengan menggunakan tahapan Software Development Life Cycle (SDLC). Hasil penelitian ini yaitu berupa aplikasi katalog berbagai macam produk PT. Petrosida Gresik seperti pestisida hingga bahan kimia untuk penunjang industri agrokimia dengan berbasis Android dan berdasarkan hasil pengujian black box terhadap semua input dan menjalankan fitur yang tersedia pada aplikasi didapatkan hasil yang sesuai dengan apa yang sudah dirancang dan diharapkan. Dengan aplikasi ini diharapkan dapat membantu para petani dan pelaku usaha yang bergerak di bidang pertanian dan perkebunan untuk menyelamatkan hasil panennya serta membantu pemerintah menciptakan swasembada pangan di Indonesia.

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Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
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Location
Kab. magelang,

Jawa tengah

INDONESIA