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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Bulletin of Electrical Engineering and Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sejarah dan Budaya JLA (Jurnal Lingua Applicata) Journal of Internet and Software Engineering
Muhammad Fakhrurrifqi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Utilization of Gas Sensor Array and Principal Component Analysis to Identify Fish Decomposition Level Sumanto, Budi; Fakhrurrifqi, Muhammad
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.11013

Abstract

Fish meat is a source of minerals and protein and contains excellent nutrients for the human body. However, non-fresh (rotting) fish are sometimes in the market for sale. Consuming rotting fish puts people at risk of getting diseases. This paper describes research to build a smelling device (e-nose) to identify fish freshness. It aims at detecting unsafe fish flesh to sort them out from being sold. We cut red snapper into cubes and put them into an open space at room temperature for five days. During the period, a gas sensor array acquired data of gas smell from the rotting fish. The output voltage of the sensors was processed using the differential baseline method. Later, feature extraction took the maximum value from the response of the gas sensor array, while the Principle Component Analysis (PCA) method identified the pattern. The results suggest that the gas sensor array responds to changes in the smell of fish meat that undergo a decay process. The PCA method is capable of recognizing the pattern of the maximum value characteristic of the gas sensor array response, as evidenced by the cumulative values of PC1 and PC2 reaching 95.95% with an accuracy rate of 98.2%. It shows the correlation between the aroma profiles of fish meat during the spoilage process, which produces a sharper aroma due to microbiological growth in the fish meat.
Perbandingan Algoritma Nearest Neighbour, C4.5 dan LVQ untuk Klasifikasi Kemampuan Mahasiswa Muhammad Fakhrurrifqi; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 7, No 2 (2013): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.3353

Abstract

AbstrakPada pelaksanaan acara perkuliahan atau saat proses balajar mengajar, dosen sering terkendala dengan kemampuan mahasiswa pada suatu matakuliah di satu kelas yang tidak merata. Oleh karena itu dosen terlebih dulu mengetahui kemampuan setiap mahasiswanya dengan salah satu caranya adalah dengan melihat karakteristik setiap mahasiswa dan kemudian dibandingkan dengan mahasiswa-mahasiswa sebelumnya dalam menyelesaian suatu mata kuliah.Pada penelitian ini, akan dilakukan perbandingan tingkat akurasi antara tiga algoritma, yaitu : Nearest Neighbour, C45 dan LVQ, pada kasus klasifikasi kemampuan mahasiswa untuk keperluan penentuan pembagian kelas mahasiswa baru. Selain itu, juga akan diperbandingkan tingkat kecepatan setiap algoritma dalam mendapatkan kelas kasus lama yang paling mirip dengan kasus baru yang dimasukkan.Kesimpulan yang didapatkan setelah sistem dibangun dan kemudian membandingkan ketiga algoritma tersebut adalah algoritma nearest neighbour dapat menghasilkan akurasi tertinggi. Kata kunci— nearest neighbour, c45, jaringan syaraf tiruan, lvq, mahasiswa AbstractDuring the lecture or in teaching-learning process, a lecturer sometimes finds that heterogeneous classroom as the obstacles due to the differences in students’ performances.  Thus, the lecturer should be aware of this phenomenon and one way to overcome this is to find out the characteristics of each student in order to compare them with the previous students while completing their study. In this research, the three algorithms are compared, they are namely; Nearest Neighbor, C45, and LVQ, this is done to classify the students’ ability and to decide the class for the new students. In addition, the speed level of each algorithm is compared by means of getting the nearest previous case study to the new class.    Finally, the ideas coming up as the conclusion for this research is that after the system is developed and those three algorithms are being compared, the result shows that there is nearest neighbour algorithm can produce the highest accuracy. Keywords—nearest neighbour, c45, artificial neural network, LVQ, students’ performances.
INTERPRETASI SEJARAH LOKAL DAN PENGEMBANGAN JALUR WISATA DIGITAL BERBASIS QR CODE DI KAMPUNG KAUMAN YOGYAKARTA UNTUK SOLO TRAVELER Makhasi, Ghifari Yuristiadhi Masyhari; Fakhrurrifqi, Muhammad
Sejarah dan Budaya: Jurnal Sejarah, Budaya, dan Pengajarannya Vol 14, No 2 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um020v14i22020p14-31

Abstract

Kauman kampong is a religious servant residence of Yogyakarta Sultanate which was formed along with the establishment of the Yogyakarta Sultanate Great Mosque in 1773. Muhammadiyah was founded in this kampong in 1912 which provided its own historical dynamics for this kampong. Since 2010 in Kauman kampong, Yogyakarta, the historical tour package "Tour de Muhammadiyah" has been re-branding to "Muhammadiyah Heritage Trip" in 2016. After ten years of developing guided tours in Kauman kampong, as technology develops, it is necessary to develop a digital basis, among others using a QR code that guides tourists to explore Kauman kampong as a solo-traveler without having to depend on the existence of a tour guide. This article offers the novelty of digitizing the historical travel route in Kauman kampong in four themes of interpretations, namely the history of the religious servants' village, the history of the Islamic women's movement, the history of the four national heroes from Kauman, and the history of Muhammadiyah's journey as an organization. It is hoped that this novelty can inspire the development of other historical regions in Indonesia to digitize local history in each place. This descriptive qualitative research collects data with participatory observation, interview, and documentation.
Pengembangan Sistem Informasi DataRawat Berbasis Web Ananda, Shafira Putri; Fakhrurrifqi, Muhammad; Putri, Divi Galih Prasetyo; Wijayanti, Risti
Journal of Internet and Software Engineering Vol 4 No 2 (2023): Journal of Internet and Software Engineering
Publisher : Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jise.v4i2.8540

Abstract

Rekam medis adalah catatan kesehatan pasien berdasarkan hasil pemeriksaan, pengobatan, tindakan, dan layanan yang telah diberikan kepada pasien. Beberapa instansi medis telah menggunakan sistem rekam medis elektronik atau Electronic Medical Record (EMR). Namun data rekam medis tersebut hanya dapat diakses secara lokal di tempat fasilitas kesehatan tempat ia berobat sebelumnya. Hal ini mengakibatkan keterbatasan hak akses pasien terhadap rekam medisnya jika ingin berobat ke tempat faskes lain. Berdasarkan permasalahan tersebut, maka dikembangkannya Sistem Informasi DataRawat ini agar pasien dapat mengelola dan membagikan data rekam medisnya kepada pihak yang dikehendaki. Dengan adanya informasi riwayat rekam medis pasien ini akan memudahkan tenaga medis dalam pencarian data informasi rekam medis pasien, mencatat riwayat medis dan mendiagnosa kesehatan pasien dengan cara yang lebih efisien. Sistem informasi ini dikembangkan menggunakan metode Incremental, framework Laravel, bahasa pemrograman PHP dan Javascript, dan PostgreSQL sebagai database. Hasil penelitian ini menunjukkan bahwa Pengembangan Sistem Informasi DataRawat ini dapat mengelola data seperti data rekam medis, data pasien, data rumah sakit, dan membagikan data menggunakan akses link rekam medis. Seluruh fitur yang ada pada analisis kebutuhan dapat terpenuhi dengan baik. Pada pengujian terhadap pengguna hasil menunjukkan skala berkisar 42-48 atau persentase sebesar 84%-96%. Hal ini dapat disimpulkan bahwa sistem masuk ke dalam kategori sangat layak untuk digunakan.
Pengaruh Penggunaan EPS-TOPIK CBT Terhadap Kemudahan, Manfaat, Sikap, dan Keinginan Berbasis Website oleh CPMI Korea Supriadianto, Supriadianto; Fakhrurrifqi, Muhammad
JLA (Jurnal Lingua Applicata) Vol 8, No 1 (2024)
Publisher : DBSMB, Vocational College of Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jla.73605

Abstract

Dalam proses pembelajaran bahasa Korea untuk Calon Pekerja Migran Indonesia (CPMI) tujuan Korea saat ini tidak hanya dilaksanakan secara tatap muka saja, tetapi juga dilakukan secara daring melalui berbagai media atau aplikasi pembelajaran. Namun demikian, media atau aplikasi pembelajaran bahasa Korea yang ditujukan untuk pemahaman materi latihan soal bahasa Korea berbasis Employment Permit System-Test of Proficiency in Korean (EPS-TOPIK) Computer Basic Test (CBT) belum dikembangkan. Oleh karena itu, tujuan pengembangan Aplikasi EPS-TOPIK CBT berbasis website diharapkan dapat menjadi salah satu solusi dan kemajuan di bidang teknologi informasi yang berpengaruh dalam pembelajaran dan pemahaman kebahasaan Korea EPS TOPIK CBT. Sehingga kemudahan, manfaat, sikap, dan keinginan dalam menggunakan aplikasi EPS TOPIK CBT berbasis website ini dapat mendukung kelulusan ujian EPS-TOPIK CBT sesungguhnya. Metode penelitian ini dilakukan secara kuisioner dalam variabel pertanyaan model Technology Acceptance Model (TAM) secara deskriptif. Pengaruh penggunaan EPS TOPIK CBT berbasis website ini oleh CPMI mendapatkan jawaban yang positif atau kesetujuaan, baik dari segi kemudahan penggunaan teknologi, manfaat yang didapat saat menggunakan aplikasi ini, penambahan dalam pemahaman materi bahasa Korea EPS TOPIK, dan keinginan untuk terus menggunakan aplikasi ini ke depannya. Dengan harapan tujuan untuk lolos ujian EPS TOPIK CBT sesungguhnya dapat tercapai. Kata Kunci: eps topik cbt, bahasa Korea, cpmi
Forecasting graduate student enrollment in university using regression analysis Dwiansyah, Anggraini; Fahrurrozi, Imam; Fakhrurrifqi, Muhammad; Farooq, Umar; Alfian, Ganjar
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.9713

Abstract

The government ensures educational quality in universities through a quality assurance (QA) system implemented via accreditation, which evaluates both study programs and institutions. A key concern in accreditation is the decline in new student enrollment, making accurate predictions of enrollment numbers essential for quality assessment. This study proposes a linear regression (LR) model to forecast future university student enrollments based on enrollment figures from the previous year as input feature. Using a dataset from one of Indonesia’s leading university spanning 2013 to 2023, the experimental results demonstrate that the LR model outperforms other regression techniques, including multi-layer perceptron (MLP), K-nearest neighbors (KNN), decision tree (DT), and random forest (RF). The LR model achieves R² values between 0.87 and 0.95, reflecting a strong linear relationship between current and future student numbers. It also delivers high accuracy, with root mean square error (RMSE) values ranging from 11.72 to 41.21 per year. The trained LR model has been integrated into a web-based system, offering data visualization and enrollment predictions to support university management in monitoring quality, addressing enrollment challenges, and facilitating informed decision-making.
Co-Authors Alfian, Ganjar Ananda, Shafira Putri Budi Sumanto Divi Galih Prasetyo Putri Dwiansyah, Anggraini Fahrurrozi, Imam Farooq, Umar Makhasi, Ghifari Yuristiadhi Masyhari Retantyo Wardoyo Supriadianto, Supriadianto Wijayanti, Risti