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All Journal TEKNIK INFORMATIKA IJID (International Journal on Informatics for Development) Aplikasia: Jurnal Aplikasi Ilmu-Ilmu Agama Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Pengembangan Pembelajaran Matematika

Aulia Faqih Rifa’i

UIN Sunan Kalijaga Yogyakarta

Author-ID : 2786571

Religion Humanities Computer Science & IT Education Mathematics Social Sciences Other

Published : 7 Documents Claim Missing Document

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Articles

Comparison Analysis between Kinect Grayscale and Depth Images Antoni, Fajria; Asyhab, Naufal; Yazid, Ahmad Subhan; Rifa'i, Aulia Faqih
IJID (International Journal on Informatics for Development) Vol. 5 No. 1 (2016): IJID May
Publisher : Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

The purpose of this research is to know which method is more appropriate in the application of user interfaces. A data collection method used in this research is the literature study. This literature study method is done by reading books, scientific journals, papers, and using internet media as a source of information. Based on the research conducted it can be concluded that from both methods it has advantages and disadvantages. Grayscale method is good for fast processing and image processing. While the depth method is good for applications that require a high level of accuracy and require high resources.

An Analysis of Memory Usage in Web Browser Software Oktavianita, Annisa Dwi; Arifin, Hendra Dea; Fauzi, Muhammad Dzulfikar; Rifa'i, Aulia Faqih
IJID (International Journal on Informatics for Development) Vol. 5 No. 2 (2016): IJID December
Publisher : Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

A RAM or formerly known as a memory is a primary memory which helps swift data availability without waiting the whole data processed by the hard disk. A memory is also used by all installed applications including web browsers but there have been disappointed in cases of memory usages. Researchers use a descriptive quantitative approach with an observation, a central tendency and a dispersion method. There are 15 browsers chosen by random to be tested with low, medium and high loads to get their memory usage logs. Researchers proceed to analyze the log by using descriptive statistics to measure the central tendency and dispersion of data. A standard reference value from web application memory usage has been found as much as 393.38 MB. From that point, this research is successful and has been found the result. The web browser with the lowest memory usage is Flock with 134.67 MB and the web browser with the highest memory usage is Baidu with 699.66 MB.

ANALISIS READINESS MAHASISWA BARU DALAM PEMBELAJARAN DARING DI UIN SUNAN KALIJAGA YOGYAKARTA Aulia Faqih Rifa'i; Sumarsono Sumarsono
JURNAL TEKNIK INFORMATIKA Vol 13, No 2 (2020): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v13i2.18580

As an impact of Covid-19, the learning methods is shifting from conventional into e-learning. Therefore, UIN Sunan Kalijaga Yogyakarta as an educational institution have to implement online lectures for all students. This event causes the first year students to not having the opportunity to understand how lectures work. On the other hand, lecturers and the university did not yet have a picture of the readiness of new students to study with e-learning method. For that case, the university needs to know if the students are ready to be doing e-learning lectures. This descriptive quantitive research uses a questionnaire and e-learning readiness factors by Chapnik [1] to see the readiness of new students. As a result, the score of new students e-learning readiness is 45.09. Thus, new students of UIN Sunan Kalijaga Yogyakarta are not ready enough for studying in e-learning methods. This research also provides suggestions about how e-learning methods should be done for the lecturers.

Pelatihan dan Pendampingan Produksi Makanan Berbasis Ikan Laut di Pulau Bawean Siti Husna Ainu Syukri; Aulia Faqih Rifa'i; Dwi Agustina Kurniawati
Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 1 No. 1 (2017)
Publisher : Fakultas Sains dan Teknologi, UIN Sunan Kalijaga Yogyakarta

Kegiatan Pengabdian Kepada Masyarakat ini difokuskan pada Industri Kecil Menengah penghasil makanan olahan yang berasal dari pulau Bawean dan Bantul dengan tujuan untuk mengembangkan potensi lokal serta meningkatkan perekonomian masyarakat. Kegiatan ini diawali dengan Training Need Analysis melalui Focus Group Discussion (FGD), Pelatihan tentang produksi makanan dan marketing chain yang diikuti oleh 23 Industri Kecil Menengah, pendampingan serta diakhiri dengan expose hasil pendampingan. Beberapa pelatihan yang diberikan kepada para Industri Kecil Menengah berdasarkan pada Training Need Analysis adalah pelatihan tentang Produksi makanan (perencanaan produksi, quality control, Packaging dan pengurusan ijin usaha). Pendampingan juga menunjukkan adanya perbaikan dari beberapa aspek, diantaranya Desain kemasan, cara pengemasan dan strategi pemasaran.

Pengembangan Mobile Apps Android sebagai Media Pembelajaran Matematika Berbasis Pendekatan Kontekstual untuk Memfasilitasi Pemahaman Konsep Yuhan Futri Basya; Aulia Faqih Rifa’i; Nurul Arfinanti
Jurnal Pengembangan Pembelajaran Matematika Vol. 1 No. 1 (2019)
Publisher : Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Penelitian ini bertujuan mengembangkan mobile apps android yang berkualitas sebagai media pembelajaran matematika berbasis pendekatan kontekstual untuk memfasilitasi pemahaman konsep. Mobile apps ini berisikan materi Fungsi Komposisi yang disajikan sesuai aspek pendekatan kontekstual untuk memfasilitasi pemahaman konsep. Kriteria ketercapaian kualitas adalah valid dan praktis. Penelitian ini dilaksanakan pada bulan Oktober 2016 hingga Februari 2017. Penelitian ini diujicobakan di SMA Negeri 7 Yogyakarta kepada 24 siswa. Penelitian ini merupakan penelitian pengembangan (Research and Development) dengan menggunakan prosedur pengembangan software SDLC model waterfall. Tahapan waterfall meliputi analisis masalah, desain produk, coding, serta testing. Hasil dari penelitian ini adalah berupa mobile apps android yang digunakan sebagai media pembelajaran matematika diluar pembelajaran. Mobile apps ini telah melalui tahap pengujian, yaitu pengujian alpha dan pengujian beta. Hasil pengujian alpha yang dilakukan oleh 3 orang ahli materi memperoleh persentase rata-rata 91% (Sangat Baik) serta 3 orang ahli media dengan memperoleh persentase rata-rata 86% (Sangat Baik) sehingga dikatakan valid. Hasil pengujian beta yang dilakukan oleh siswa memperoleh persentase 74% (Setuju) sehingga dikatakan praktis. Hasil penelitian ini menunjukkan bahwa mobile apps android telah layak digunakan sebagai media pembelajaran matematika berbasis pendekatan kontekstual untuk memfasilitasi pemahaman konsep.

Web-based Queue Machine Development using Raspberry and ESP8266 Anggit Damaz Istoko; Aulia Faqih Rifa'i
IJID (International Journal on Informatics for Development) Vol. 7 No. 1 (2018): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

At a recent time, a computer-based queue machine, which is using the computer as both a client and a server, is rated to be less practical and inefficient. In this case, the queue machine will need a number of the computer as many as the locket and the network configuration. Given these points, the aim of this research is to build a practice and applicable queue machine. In the development of this system, the writer adopted the prototyping method. Acquiring Arduino Uno to convert the analog signal become a digital which will be shown in the LED P10, utilizing NodeMCU ESP8266 as a WiFi module, and adapting Raspberry Pi 3 as a server, this queue system expected to solve the problem before. In addition, to build the web, this queue system is using javascript and node.js as the software. This research derives a practice, easy to use, and portable queue machine because it uses wifi for their connection.

RANCANG BANGUN APLIKASI KKN SUKA MOBILE BERBASIS ANDROID Aulia Faqih Rifa’i; Millati Pratiwi; Azki Hidayatulloh Alfain; M. Rizal Akbarudin Aslam
Aplikasia: Jurnal Aplikasi Ilmu-ilmu Agama Vol. 20 No. 2 (2020)
Publisher : UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/aplikasia.v20i2.2404

Demi terlaksananya program KKN tanggap darurat COVID19 yang termonitor secara efektif dan efisien di UIN Sunan Kalijaga Yogyakarta, perlu dibuat terobosan yang dapat menyelesaikan permasalahan yang sebelumnya dapat dilakukan secara manual. Pembuatan aplikasi KKN UIN Suka berbasis mobile dapat menjadi solusi untuk memudahkan komunikasi antara peserta KKN dan Dosen Pembimbing Lapangan dalam pengajuan dan pelaporan mengenai program kerja mandiri maupun kelompok. Aplikasi KKN UIN Suka mobile dikembangkan menggunakan framework React Native dengan metode SDLC. Setelah diterbitkan di PlayStore untuk mendukung pelaksanaan KKN 102 UIN Sunan Kalijaga Yogyakarta, aplikasi telah mendapatkan nilai 3.25 / 5 dari total unduhan lebih dari 1000 kali Adapun tautan untuk mengunduh aplikasi adalah https://play.google.com/store/apps/details?id=com.lppm.kkn.

Co-Authors Ahmad Subhan Yazid Anggit Damaz Istoko Antoni, Fajria Arifin, Hendra Dea Asyhab, Naufal Azki Hidayatulloh Alfain Dwi Agustina Kurniawati Fauzi, Muhammad Dzulfikar M. Rizal Akbarudin Aslam Millati Pratiwi Nurul Arfinanti Oktavianita, Annisa Dwi Siti Husna Ainu Syukri Sumarsono Sumarsono Yuhan Futri Basya

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