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All Journal Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUITA : Jurnal Informatika Annual Research Seminar Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Guntur Maulana Zamroni
Universitas Ahmad Dahlan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Development of Android Based Online Nurse Test Preparation Ambar Relawati; Guntur Maulana Zamroni
JUITA : Jurnal Informatika JUITA Vol. 8 Nomor 1, Mei 2020
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1861.373 KB) | DOI: 10.30595/juita.v8i1.6795

Abstract

The Indonesian Nurses Competency Test (UKNI) is a process to determine whether a person is worthy to become a nurse in Indonesia. In 2018 the UKNI test was carried out by 55,573 total participants with a pass percentage of 47.15%. This figure is quite low considering the need for nurses in Indonesia which is still quite high. The unpreparedness of participants in facing tests, either readiness in terms of test material or in terms of mentality is one of the causes of the low pass rate of UKNI. Online Nurse Test (ONT) UKNI is expected to be one of the solutions to answer the above problems. ONT UKNI is a mobile application that has been equipped with learning material, try out, and discussion features aimed to help School of Nursing students in facing UKNI test. The development of the ONT UKNI application uses the modified waterfall model and uses the observation approach and literature review in collecting data and materials which will then be used for the development of the ONT UKNI application. ONT UKNI offers new sets of try out questions and discussion feature that may useful for users. Functional tests has been conducted with 100% results so it can be concluded that the ONT UKNI application is suitable for use.Keywords: Android, Mobile Learning Application, UKNI
Virtual Reality Tour Menggunakan Metode Gambar Panorama 360 Sebagai Media Informasi dan Pengenalan Gedung Perkuliahan Kampus 4 Universitas Ahmad Dahlan Yogi Anggara; Guntur Maulana Zamroni
Jurnal Sarjana Teknik Informatika Vol 9, No 1 (2021): Februari
Publisher : Teknik Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v1i1.19045

Abstract

Mahasiswa UAD setiap tahun semakin bertambah saat ini UAD memiliki 25.239 mahasiswa dari seluruh Indonesia bahkan mancanegara, serta Keadaan di luar prediksi berupa wabah penyakit covid-19 telah membawa perubahan yang mendesak pada sektor pendidikan. Informasi terkait UAD banyak dicari oleh mahasiswa baru dan masyarakat umum namun informasi yang dapat diakses masih sangat sedikit terutama informasi yang sudah dalam bentuk visual.Pengembangan Virtual Tour ini menggunakan metode gambar panorama 360. Gambar panorama 360 adalah beberapa gambar yang digabungkan untuk mendapatkan gambar yang lebih luas dan lebih detail. Pengembangan perangkat lunak pada Virtual Tour ini menggunakan metode Waterfall.Hasil penelitian ini berupa aplikasi Virtual Tour sebagai media pengenalan gedung perkuliahan kampus 4 UAD. Berdasarkan hasil pengujian menggunakan Black Box didapat persentase kelayakan 100 % dapat disimpulkan bahwa aplikasi layak untuk digunakan dan hasil pengujian dengan SUS didapat skore SUS 88.775 dapat disimpulkan bahwa aplikasi berjalan dengan baik serta mudah digunakan oleh pengguna.Kata kunci: Gambar panorama 360, Gedung Perkuliahan Kampus 4 UAD, Virtual Tour
Household Power Consumption Forecasting using IoT Smart Home Data Fitri Indra Indikawati; Guntur Maulana Zamroni
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (781.15 KB) | DOI: 10.26555/jiteki.v5i1.13184

Abstract

The use of the forecasting system is becoming more prominent in recent years. One of the implementations of the forecasting system is to predict electricity consumption demand. In this paper, we have developed a forecasting system for household electricity consumption using a well-known Extreme Gradient Boosting algorithm. We utilized time-series data from a smart meter dataset to make a predictive model. First, we evaluated the importance of time-series feature from the dataset and resampled the original dataset. Then, we used the resampled data to train the model and calculated training loss function. Our experimental studies with real IoT Smart Home data demonstrate that our forecasting system works well with small dataset using one-hour downsampling on the dataset.
Analisis Forensik Aplikasi Instant Messaging Berbasis Android Guntur Maulana Zamroni
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Instant Messaging (IM) merupakan salah satu aplikasi seluler yang sangat popular. Salah satu jenis aplikasi IM adalah WhatsApp (WA). Pengguna WA jumlahnya mencapai 1 Milyar setiap bulannya. WA didukung oleh fitur enkripsi untuk menjamin keamanan data para penggunanya. Kepopuleran dan fitur yang diberikan WA dapat disalahgunakan masyarakat untuk tujuan kriminal, seperti perdagangan narkoba, kegiatan teroris, perencanaan pembunuhan, dan kegiatan kriminal lainnya melalui fitur-fitur yang tersedia. Pihak berwenang dapat menggunakan data-data dalam WA sebagai barang bukti. Metode forensik diperlukan untuk memastikan keberhasilan proses pengambilan data-data tersebut. Penelitian ini akan menjelaskan langkah-langkah untuk memperoleh data aplikasi WA, dari data yang telah dienkripsi menjadi data yang dapat dibaca dan dianalisis untuk kemudian dapat digunakan sebagai barang bukti
Instant Messaging Forensic Analysis on Android Operating System Guntur Maulana Zamroni; Imam Riadi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.624 KB) | DOI: 10.22219/kinetik.v4i2.735

Abstract

WhatsApp (WA) is one of the Instant Messaging (IM) applications used by many people. WA and mobile devices cannot be separated from the possibility of misuse such as for criminal purposes. To handle a crime case involving a mobile device, the investigator needs to use suitable forensic tools and mobile forensic methodology so that the results can be approved and accepted by the law. This research conducted a forensic analysis of WA on unrooted Samsung C9 Pro devices using Belkasoft Evidence, Oxygen Forensic, Magnet AXIOM, and WA Key/DB Extractor. This research gives suggestion about forensic tools for conducting forensic analysis related to WA.  From the research can be seen that there is no tool that can be used to obtain all the WA artifact parameters used in the research. The combination of the Magnet AXIOM and WA Key/DB Extractor is known to get the best results and meets the WA artifact parameters.
Implementasi Augmented Reality Untuk Pengenalan Pahlawan Indonesia Berdasarkan Mata Uang Kertas Rupiah Emisi 2016 Berbasis Android Aditya Cahyo Pramono; Guntur Maulana Zamroni
Jurnal Sarjana Teknik Informatika Vol 9, No 3 (2021): Oktober
Publisher : Teknik Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v9i3.21591

Abstract

Menurut survey yang dilakukan kepada 29 responden, diketahui bahwa 51,7% para pelajar dari rentang SD hingga SMA tidak mengetahui sejarah pahlawan yang ada pada mata uang rupiah. Hal ini dikarenakan media peningkatan literasi pelajaran sejarah yang belum bisa menarik minat belajar para siswa. Penelitian ini berfokus kepada pengembangan media peningkatan literasi mengenai pahlawan nasional dengan mengimplementasikan Augmented Reality menggunakan metode marker based tracking dan autoplay target. Pengembangan media peningkatan literasi ini menggunakan model waterfall. Pengujian dilakukan dengan empat jenis pengujian, yaitu : pengujian blackbox, pengujian validasi pakar, pengujian Sistem Usability Scale, dan pengujian deteksi target. Berdasarkan hasil pengujian Blackbox diperoleh hasil 100% dan dapat disimpulkan bahwa aplikasi berjalan dengan baik. Pengujian validasi pakar mendapatkan hasil skor 91,6% dan masuk ke dalam kategori sangat layak. Pengujian SUS mendapatkan hasil sebesar 83.65 dan masuk ke dalam kategori sangat baik. Pengujian deteksi target dengan hasil dapat diterima. Berdasarkan semua pengujian yang dilakukan maka dapat disimpulkan bahwa aplikasi yang dikembangkan layak digunakan.
Electroencephalogram as a Validation Method in Usability Testing Guntur Maulana Zamroni; Dinan Yulianto; Bella Saphira; Fadel N. Akhmad; Fakhira A. Zahrah
JUITA : Jurnal Informatika JUITA Vol. 11 No. 1, May 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i1.16000

Abstract

Usability testing is a recommended main testing method to evaluate the usability or ease of use of a software. However, this approach can induce bias. Usability testing with survey method using questionnaire instruments and interview has a risk of generating lack of objectivity from the participants because the facilitator can influence the evaluation results. The evaluation process is not optimal and the biases that arise from usability testing can affect the success or failure of a software in the market. A method for validating usability testing results needs to be studied to ensure whether the test results obtained are valid and unbiased. Electroencephalogram (EEG) is one of the tool that can be used to validate usability testing. This study aims to conduct usability testing of the three most popular e-marketplace applications in Indonesia. From the results it can be seen that usability testing using user-based testing gives a fairly good result in term of accuracy. Usability testing using EEG gives lower results than user-based testing. Nevertheless, we cannot rule out EEG as a usability testing method in the future.
Co-Authors Aditya Cahyo Pramono Ambar Relawati Bella Saphira Dinan Yulianto Fadel N. Akhmad Fakhira A. Zahrah Fitri Indra Indikawati Imam Riadi Yogi Anggara