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All Journal e-Dinamis JURNAL MEDIA INFORMATIKA BUDIDARMA BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat LISANAN ARABIYA: Jurnal Pendidikan Bahasa Arab Mobile and Forensics Signal and Image Processing Letters Al-Fathin: Jurnal Bahasa dan Sastra Arab Bulletin of Social Informatics Theory and Application
Ahmad Azhari
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Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Neuroscience Social Sciences Other

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USAHA PENINGKATAN KETERAMPILAN GURU SEKOLAH MENENGAH MUHAMMADIYAH KAB GUNUNGKIDUL: PENDAYAGUNAAN LECTORA SEBAGAI MEDIA AJAR Mardhia, Murein; Normawati, Dwi; Azhari, Ahmad
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol 2, No 2 (2018)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.388 KB) | DOI: 10.12928/jp.v2i2.405

Abstract

Sebuah  kegiatan  peningkatan  keterampilan  guru  telah  diadakan  di  kalangan  sekolah  menengah pertama di wilayah Kabupaten Gunungkidul  pada periode libur semester gasal tahun ajaran 2017/2018. Kegiatan  pelatihan  TIK  kali  ini  mengundang  tenaga  pendidik  dari  sekolah-sekolah  menengah  Muhammadiyah  di  bawah  pengelolaan  Majelis  Pendidikan  Dasar  dan  Menengah  (Dikdasmen) PDM Gunungkidul.  Tujuan yang ingin dicapai antara lain pengayaan keterampilan tenaga pendidik di bidang TIK sebagai media pendukung kegiatan belajar mengajar di kelas. Dengan peningkatan keterampilan guruguru  sebagai  tenaga  pendidik  melalui  TIK, diharapkan  dapat  mendukung  tercapainya  pemenuhan kompetensi guru-guru di SMP Muhammadiyah di Kabupaten Gunungkidul secara terprogram. Di bagian akhir pelaksanaan, peserta diminta untuk mengumpulkan feedback mengenai kegiatan pelatihan yang telah diikuti. Lebih dari 80% peserta yang hadir menyatakan tingkat kepuasan yang baik terhadap materi, pelaksana, dan kemanfaatan karya yang telah mereka hasilkan. Target usabilitas karya juga telah tercapai sebagai media belajar untuk diaplikasikan di semester genap tahun ajaran 2017/2018.
Classification of Concentration Levels in Adult-Early Phase using Brainwave Signals by Applying K-Nearest Neighbor Azhari, Ahmad; Ammatulloh, Fathia Irbati
Signal and Image Processing Letters Vol 1 No 1 (2019)
Publisher : Association for Scientic Computing and Electronics, Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.170

Abstract

The brain controls the center of human life. Through the brain, all activities of living can be done. One of them is cognitive activity. Brain performance is influenced by mental conditions, lifestyle, and age. Cognitive activity is an observation of mental action, so it includes psychological symptoms that involve memory in the brain's memory, information processing, and future planning. In this study, the concentration level was measured at the age of the adult-early phase (18-30 years) because in this phase, the brain thinks more abstractly and mental conditions influence it. The purpose of this study was to see the level of concentration in the adult-early phase with a stimulus in the form of cognitive activity using IQ tests with the type of Standard Progressive Matrices (SPM) tests. To find out the IQ test results require a long time, so in this study, a recording was done to get brain waves so that the results of the concentration level can be obtained quickly.EEG data was taken using an Electroencephalogram (EEG) by applying the SPM test as a stimulus. The acquisition takes three times for each respondent, with a total of 10 respondents. The method implemented in this study is a classification with the k-Nearest Neighbor (kNN) algorithm. Before using this method, preprocessing is done first by reducing the signal and filtering the beta signal (13-30 Hz).The results of the data taken will be extracted first to get the right features, feature extraction in this study using first-order statistical characteristics that aim to find out the typical information from the signals obtained. The results of this study are the classification of concentration levels in the categories of high, medium, and low. Finally, the results of this study show an accuracy rate of 70%.
Visualisasi Informasi Website International Conference Berdasarkan Web-Quality Framework Pangistu, Lalu Arfi Maulana; Azhari, Ahmad; Aktawan, Agus
Mobile and Forensics Vol 1, No 2 (2019)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v1i2.1282

Abstract

Konferensi merupakan pertemuan yang bertujuan untuk bertukar pendapat mengenai suatu masalah yang dihadapi bersama. Dengan adanya perkembangan teknologi membuat manusia berfikir untuk dapat bekerja lebih efektif dan efisien. Salah satunya yaitu membuat sistem konvensional menjadi sistem yang terkomputerisasi. Dengan memanfaatkan fasilitas website yang terhubung ke internet, pihak penyelenggara konferensi dapat lebih efektif untuk melakukan penyebaran informasi, registrasi, submisi, dan kegiatan lain yang berhubungan dengan konferensi.Pentingnya pengukuran kualitas pada website menjadi tolak ukur dalam meningkatkan kinerja sesuai dengan visi dan misi dari penerapan website. Pada penelitian ini, penulis merancang sistem informasi pada konferensi internasional berbasis website. Metodologi pengembangan website yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC). Metode pengujian kualitas website menggunakan 4 metode pengujian, diantaranya Alpha Test, SUS, UAT, dan UEQ. Sistem ini menghasilkan sistem informasi konferensi internasional berbasis website yang bekerja dengan baik dengan hasil pengujian alpha test sebesar 92%, menampilkan informasi yang sesuai dengan hasil pengujian SUS sebesar 73%, dapat diterima masyarakat dan layak ditunjukkan dari hasil pengujian UAT sebesar 75%, dan pengujian User Experience (UX) mendapatkan penilaian yang masuk ke dalam kategori “baik” dari hasil pengujian UEQ.
PENERAPAN TEKNOLOGI TOKO ONLINE UNTUK PEMASARAN PRODUK BAGI IBU-IBU AISYIYAH GUNUNG KIDUL Azhari, Ahmad; Budiarti, Gita Indah; Mardhia, Murein Miksa
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol 3, No 3 (2019)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.361 KB) | DOI: 10.12928/jp.v3i3.1229

Abstract

Marketing and promotion are the most important things for product sales. Aisyiyah Gunung Kidul mothers (partners) have products, one of which is snacks from the mokaf. There needs to be innovation in marketing to increase partner sales. This activity aims to create an online shop for partners and then train partners to use it. The method used is training and evaluation. The results of this activity partners are able to use the website and application well. Partners who can upload their products by 63%. Partners are very enthusiastic about this training, and hope that there will be a follow-up to this activity.
Ekstraksi Logis Forensik Mobile pada Aplikasi E-Commerce Android Anwar, Nuril; Akbar, Son Ali; Azhari, Ahmad; Suryanto, Imam
Mobile and Forensics Vol 2, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1791

Abstract

Pesatnya perkembangan aplikasi android, terutama aplikasi di bidang e-commerce dan transaksi jual beli online yang populer di Indonesia, memaksa pengguna untuk memberikan izin untuk menggunakan fitur dan layanan aplikasi selama pemasangan dan pasca pemasangan. Kurangnya pemahaman pengguna akan resiko dari izin akses yang diminta oleh aplikasi sebelum atau setelah melakukan instalasi menjadikan celah pada keamanan data pengguna untuk mengakses fitur pada perangkat smartphone seperti kamera, media penyimpanan, kontak, akun dan fitur lainnya. Logical Extraction Method menjadi metode yang digunakan untuk mendapatkan data aplikasi dengan mengakusisi seluruh data file sistem pada smartphone menggunakan bantuan tools MOBILedit Forensic, TWRP (Team Win Recovery Project), dan Aplikasi Migrate. Akusisi data dari masing-masing aplikasi akan diambil Android Package File (APK) yang digunakan untuk proses analisis secara statis dengan menggunakan Tools Forensic MobSF (Mobile Security Framework). Berdasarkan hasil analisis yang dilakukan pada tiga aplikasi teratas e-commerce terdapat 51 izin akses dan dari tiga aplikasi e-commerce terpopuler di Indonesia dengan tingkat keamanan paling berbahaya dengan 49 izin akses, 7 izin akses normal dan 1 izin akses tanda tangan. Aplikasi lazada terdapat 21 izin akses berbahaya yang tidak diketahui pengguna sedangkan aplikasi Tokopedia terdapat 4 izin akses berbahaya yang tidak diketahui pengguna dan aplikasi Blibli.com terdapat 1 izin akses berbahaya yang tidak diketahui pengguna. Berdasarkan temuan celah keamanan dapat disimpulkan bahwa aplikasi e-commerce yang digunakan oleh penggunanya memungkinkan pula disisipi sebuah malware atau virus sejenis yang berpeluang dalam penggambilan data pribadi penggunanya.  The rapid development of android applications, especially applications in the field of e-commerce and online buying and selling transactions that are popular in Indonesia, force users to give permission to use the features and services of the application during installation and post-installation. Lack of user understanding of the risk of access permissions requested by the application before or after installation creates a gap in the user's data security to access features on smartphone devices such as cameras, storage media, contacts, accounts, and other features. Logical Extraction Method is a method used to obtain application data by acquiring all system file data on smartphones using the help of MOBILedit Forensic tools, TWRP (Team Win Recovery Project), and Migrate Applications. Data acquisition from each application will be taken by Android Package File (APK) which is used for the static analysis process using Tools Forensic MobSF (Mobile Security Framework). Based on the results of an analysis conducted on the top three e-commerce applications there are 51 access permits and of the three most popular e-commerce applications in Indonesia with the most dangerous level of security with 49 access permits, 7 normal access permits, and 1 signature access permit. The Lazada application has 21 dangerous access permits that the user does not know while the Tokopedia application has 4 dangerous access permits that the user does not know and the Blibli.com application has 1 dangerous access permit that the user does not know about. Based on the findings of a security hole, it can be concluded that the e-commerce application used by its users also allows the insertion of a malware or virus that has the opportunity to capture the user's personal data.
Probabilitas Bernoulli Untuk Cluster Status Sekolah Menengah Atas Di Indonesia Purwaningsih, Tuti; Azhari, Ahmad; Purnaramadhan, Riza
Mobile and Forensics Vol 2, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i1.1953

Abstract

Di pedesaan, biasanya sekolah negeri begitu banyak diminati karena biaya pendidikan yang relatif terjangkau. Namun pada kenyataan, banyak orang tua memilih sekolah swasta untuk mendapatkan fasilitas belajar lebih nyaman baik dari sekolah maupun dari pengajarnya. Unsur-unsur pendidikan menjadi penentu keberhasilan proses peningkatan mutu pendidikan dalam pencapaian tujuan pendidikan di satuan pendidikan. Penelitian ini bertujuan untuk mendeteksi pembagian cluster terkait jumlah sekolah negeri dan swasta tingkat sekolah menengah atas tiap provinsi di Indonesia dengan menerapkan model probabilitas Bernoulli. Berdasarkan analisis yang sudah dilakukan dapat disimpulkan bahwa persebaran cluster menggunakan model probabilitas Bernoulli pada jumlah sekolah negeri tingkat menengah atas di indonesia memiliki 5 cluster dan banyak tersebar di bagian Indonesia wilayah tengah dan timur. Sedangkan pada jumlah sekolah swasta tingkat menengah atas di indonesia memiliki 6 cluster dan banyak tersebar di bagian pulau jawa. Provinsi-provinsi yang masuk ke wilayah cluster tersebut berarti memiliki karakteristik yang mirip yang dimilikinya sehingga mengelompok kedalam satu kelompok yang sama. In rural areas, public schools are usually in great demand because of the relatively affordable costs of education. But in fact, many parents choose private schools to get more comfortable learning facilities from both the school and the teachers. The elements of education are the determinants of the success of the process of improving the quality of education in achieving educational goals in educational units. This study aims to detect the division of clusters related to the number of public and private high school level schools in each province in Indonesia by applying the Bernoulli probability model. Based on the analysis that has been done, it can be concluded that the distribution of clusters using the Bernoulli probability model is that the number of senior high school public schools in Indonesia has 5 clusters and many are scattered in the central and eastern parts of Indonesia. Meanwhile, the number of high school private schools in Indonesia has 6 clusters and many are scattered in parts of the island of Java. Provinces that are included in the cluster area mean that they have similar characteristics so that they are grouped into the same group.
Classification of Concentration Levels in Adult-Early Phase using Brainwave Signals by Applying K-Nearest Neighbor Azhari, Ahmad; Ammatulloh, Fathia Irbati
Signal and Image Processing Letters Vol. 1 No. 1: March 2019
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.170

Abstract

The brain controls the center of human life. Through the brain, all activities of living can be done. One of them is cognitive activity. Brain performance is influenced by mental conditions, lifestyle, and age. Cognitive activity is an observation of mental action, so it includes psychological symptoms that involve memory in the brain's memory, information processing, and future planning. In this study, the concentration level was measured at the age of the adult-early phase (18-30 years) because in this phase, the brain thinks more abstractly and mental conditions influence it. The purpose of this study was to see the level of concentration in the adult-early phase with a stimulus in the form of cognitive activity using IQ tests with the type of Standard Progressive Matrices (SPM) tests. To find out the IQ test results require a long time, so in this study, a recording was done to get brain waves so that the results of the concentration level can be obtained quickly.EEG data was taken using an Electroencephalogram (EEG) by applying the SPM test as a stimulus. The acquisition takes three times for each respondent, with a total of 10 respondents. The method implemented in this study is a classification with the k-Nearest Neighbor (kNN) algorithm. Before using this method, preprocessing is done first by reducing the signal and filtering the beta signal (13-30 Hz).The results of the data taken will be extracted first to get the right features, feature extraction in this study using first-order statistical characteristics that aim to find out the typical information from the signals obtained. The results of this study are the classification of concentration levels in the categories of high, medium, and low. Finally, the results of this study show an accuracy rate of 70%.
Pengembangan Pangan Lokal Melalui Modifikasi Tepung Budiarti, Gita Indah; Mardhia, Murein Miksa; Azhari, Ahmad
Berdikari: Jurnal Inovasi dan Penerapan Ipteks Vol 7, No 2 (2019): August
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/bdr.7261

Abstract

People with diabetes mellitus in Gunungkidul are increasing in number. This is caused by excessive consumption of flour-based foods. Communities need to be introduced to alternative food substitutes for flour such as cassava. Besides being able to reduce flour consumption in the community, training and education about non-flour snacks can also increase the income of less productive housewives. The purpose of this activity is to provide education about the dangers of consuming foods containing excessive flour and to train in making flour and food from non-wheat alternative ingredients to ladies of Aisyiyah members in ladies Gunungkidul area. The series of service activities was carry out in the form of counseling on food security and healthy food. The second activity was in the form of training in making flour substitute flour and non-flour processed foods. The evaluation phase was in the form of filling out questionnaires by participants. The results of this activisay are processed foods made from non-modified flour and improved knowledge and skills of the participants
Deep Learning on Game Addiction Detection Based on Electroencephalogram Pangistu, Lalu Arfi Maulana; Azhari, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3061

Abstract

Playing games for too long can be addictive. Based on a recent study by Brand et al, adolescents are considered more vulnerable than adults to game addiction. The activity of playing games produces a wave in the brain, namely beta waves where the person is in a focused state. Brain wave activity can be measured and captured using an Electroencephalogram (EEG). Recording brain wave activity naturally requires a prominent and constant brain activity such as when concentrating while playing a game. This study aims to detect game addiction in late adolescence by applying Convolutional Neural Network (CNN). Recording of brain waves was carried out three times for each respondent with a stimulus to play three different games, namely games included in the easy, medium, and hard categories with a consecutive taking time of 10 minutes, 15 minutes, and 30 minutes. Data acquisition results are feature extraction using Fast Fourier Transform to get the average signal for each respondent. Based on the research conducted, obtained an accuracy of 86% with a loss of 0.2771 where the smaller the loss value, the better the CNN model built. The test results on the model produce an overall accuracy of 88% with misclassification in 1 data. The CNN model built is good enough for the detection of game addiction in late adolescence. 
Visualisasi Informasi Website International Conference Berdasarkan Web-Quality Framework Pangistu, Lalu Arfi Maulana; Azhari, Ahmad; Aktawan, Agus
Mobile and Forensics Vol. 1 No. 2 (2019)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v1i2.1282

Abstract

Konferensi merupakan pertemuan yang bertujuan untuk bertukar pendapat mengenai suatu masalah yang dihadapi bersama. Dengan adanya perkembangan teknologi membuat manusia berfikir untuk dapat bekerja lebih efektif dan efisien. Salah satunya yaitu membuat sistem konvensional menjadi sistem yang terkomputerisasi. Dengan memanfaatkan fasilitas website yang ke internet, pihak penyelenggara konferensi dapat lebih efektif untuk melakukan penyebaran informasi, registrasi, submisi, dan kegiatan lain yang berhubungan dengan konferensi.Pentingnya pengukuran kualitas pada website menjadi tolak ukur dalam meningkatkan kinerja sesuai dengan visi dan misi dari penerapan website. Pada penelitian ini, penulis merancang sistem informasi pada konferensi internasional berbasis website. Metodologi pengembangan website yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC). Metode pengujian kualitas website menggunakan 4 metode pengujian, diantaranya Alpha Test, SUS, UAT, dan UEQ. Sistem ini menghasilkan sistem informasi konferensi internasional berbasis website yang bekerja dengan baik dengan hasil pengujian alpha test sebesar 92%, menampilkan informasi yang sesuai dengan hasil pengujian SUS sebesar 73%, dapat diterima masyarakat dan layak ditunjukkan dari hasil pengujian UAT sebesar 75%, dan pengujian User Experience (UX) mendapatkan penilaian yang masuk ke dalam kategori "baik" dari hasil pengujian UEQ.
Co-Authors Agus Aktawan, Agus Ammatulloh, Fathia Irbati Ammatulloh, Fathia Irbati Bakri Muhammad Bakhiet Budiarti, Gita Indah Danial Hilmi Dwi Normawati, Dwi Gesbi Rizqan Rahman Arief Jefree Fahana Murein Miksa Mardhia Nuril Anwar, Nuril Pangistu, Lalu Arfi Maulana Purnaramadhan, Riza Son Ali Akbar Suryanto, Imam Syuhadak Syuhadak Tuti Purwaningsih, Tuti