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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi ORAHUA : Jurnal Pengabdian Kepada Masyarakat
Luthfil Khairi
Universitas Andalas
Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics Transportation Other

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INTELLIGENT SYSTEM TO DETERMINE THE BEST LECTURER USING ADDITIVE RATIO ASSESSMENT ALGORITHM Wahyudi Wahyudi; Budy Satria; Lutfil Khairi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6281

Abstract

The quality of a lecturer's performance is one of the keys to institutional success that must be continuously improved. The performance assessment of lecturers in the Informatics study program of the Faculty of Information Technology, Andalas University faces obstacles in processing quantitative and qualitative data so that it is vulnerable to subjectivity including research productivity, teaching effectiveness, contributions to community service and additional activities. In addition, limitations in a systematic evaluation system result in unfairness and lack of transparency in the decision-making process. The research objective is to create a technology-based approach by applying the Additive Ratio Assessment method based on a Decision Support System. The ARAS method was chosen because it is able to determine effective final results based on multiple criteria that have been determined. The application of the ARAS method consists of 5 stages, namely determining the decision matrix, normalizing the decision matrix, weighting the normalization results, determining the optimum function value and ranking results. The results obtained are alternative data consisting of A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11 and 8 criteria and weighting, namely the last education (10%), functional position (15%), certification (20%), number of publications (15%), author order (15%), publication index quality (10%), research grants (10%) and PkM (5%). The ranking results with the highest value in order 1-5 are 0.113875, 0.109785, 0.104235, 0.099005, 0.094715. The final conclusion of this research is that the ARAS method is able to prove the best lecturer assessment to be more efficient, transparent and subjective to be applied in the Andalas University Informatics study program.
Digitalization of Rural Water Management: Android-Based Billing for Community Systems using the ADDIE model Nurfiah Nurfiah; Afdhal Dinilhak; Luthfil Khairi; Budy Satria; Anggi Hadi Wijaya; Ajeng Dwi Asti; Arifan Rahman
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1135

Abstract

The integration of information technology in everyday life has changed the way people work, learn, socialize, make transactions, and make decisions. The use of Android-based smartphones is a real example of the use of technology. Android, which is open-source, has encouraged the development of applications widely according to need. Access to water is a fundamental human right. PAMSIMAS is a flagship program of the regional and central governments that seeks to meet water needs through the provision of clean water services in line with the Sustainable Development Goals (SDGs). In Durian Seribu Village, PAMSIMAS is a service to meet the water needs of the community and become a solution for rural communities to get clean water at low cost, but its management is still manual, such as recording water usage and billing, so it is inefficient, time-consuming, and prone to errors. From these problems, this study proposes the development and implementation of an Android application designed to simplify the recording and billing process for the PAMSIMAS program in Durian Seribu Village. This application aims to simplify management, increase data transparency, and simplify reporting. The results of tests that have been carried out using the black box method show that this application can facilitate officers in recording and billing payments for PAMSIMAS water usage. Officers only need to enter the total water usage, and the application will automatically calculate and print a receipt as proof of payment. Officers also do not need to calculate manually when reporting the total payment to the administrator. For administrators, this application makes it easier to monitor and evaluate the performance of recording officers. After the application was used for recording and billing, PAMSIMAS's revenue increased by around 30% from the revenue before using the application.
Analisis Ketahanan Fitur MFCC dan Log-Mel Spektrogram untuk Speech Emotion Recognition Berbasis CNN pada Berbagai Kondisi Signal-to-Noise Ratio Rifki Yuliandra; Arifan Rahman; Afdhal Dinilhak; Luthfil Khairi; Anggi Hadi Wijaya
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

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

Abstract

Speech Emotion Recognition (SER) has achieved remarkable performance under controlled, clean-audio conditions; however, its robustness in noise-laden, real-world environments remains insufficiently characterized. This study investigates the performance degradation of a Convolutional Neural Network (CNN)-based SER system on the RAVDESS dataset when subjected to synthetic noise at various Signal-to-Noise Ratio (SNR) levels (−5, 0, 5, 10, and 15 dB). We compare two widely used feature representations: Mel-Frequency Cepstral Coefficients (MFCC) and Log-Mel Spectrogram. Both models were trained exclusively on clean audio and evaluated under twelve noise conditions using Additive White Gaussian Noise (AWGN) and babble noise. Experimental results on the RAVDESS dataset (2,880 samples, 8 emotion classes) reveal a distinct asymmetry: the MFCC-based CNN achieves a 48.84% clean-audio accuracy with a maximum degradation of 27.08 percentage points (pp). Conversely, the Log-Mel Spectrogram model achieves a higher clean baseline of 66.67% but suffers a severe drop of up to 47.69 pp under noise, approaching the random baseline of 12.5%. These findings demonstrate that MFCC features offer superior robustness to additive noise due to implicit spectral smoothing via mel filterbanks and Discrete Cosine Transform (DCT), despite exhibiting lower clean-audio discriminability. This research highlights a fundamental trade-off between feature discriminability and noise robustness in uncontrolled acoustic environments.
Pemanfaatan Augmented Reality Untuk Pengenalan Anatomi Rangka Ekstremitas Atas di SMA Negeri 1 Bukittinggi Budy Satria; Humayra Fahreri; Khoiri Putra Mujiza; Luthfil Khairi; Ajeng Dwi Asti; Meza Silvana; Anggi Hadi Wijaya; Nurfiah; Wahyudi; Derisma; Rahmi Eka Putri; Arifan Rahman; Afdhal Dinilhak
ORAHUA : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 01 (2026): Juli
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/orahua.v4i01.743

Abstract

Permasalahan yang dihadapi dalam pembelajaran anatomi adalah keterbatasan media visual 3D serta kurangnya interaksi siswa dalam memahami struktur tulang. Di SMA Negeri 1 Bukittinggi, buku teks dan slide PowerPoint masih digunakan sebagai alat pembelajaran di kelas. Akibatnya, penggunaan media pembelajaran menjadi tidak praktis, tidak efektif dan kurang interaktif. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman siswa tentang anatomi rangka ekstremitas atas melalui pemanfaatan teknologi Augmented Reality (AR). Aplikasi dirancang menggunakan software UNITY dan Vuforia serta berbasis penanda untuk menampilkan objek visual 3D rangka ekstremitas atas. Metode kegiatan diawali dengan analisis kebutuhan, perancangan aplikasi, Implementasi dan pelatihan, evaluasi kepuasan pengguna menggunakan metode System Usability Scale (SUS) serta dokumentasi diakhir kegiatan. Hasil kegiatan diperoleh melalui penilaian instrumen SUS yang terdiri dari 10 pernyataan dan melibatkan 42 responden untuk memberikan penilaian terhadap aplikasi AR yang dibuat. Berdasarkan hasil evaluasi, aplikasi AR memperoleh skor rata-rata 72,20. Skor menunjukkan bahwa aplikasi memiliki tingkat usability yang baik dan dapat diterima oleh pengguna serta masih memiliki ruang untuk pengembangan dan penyempurnaan guna meningkatkan pengalaman pengguna. Secara keseluruhan, hasil evaluasi menunjukkan bahwa aplikasi AR layak digunakan sebagai media pembelajaran interaktif, khususnya dalam mendukung proses pembelajaran anatomi rangka ekstremitas atas.
Co-Authors Afdhal Dinilhak Ajeng Dwi Asti Anggi Hadi Wijaya Arifan Rahman Budy Satria Derisma Derisma Humayra Fahreri Khoiri Putra Mujiza Meza Silvana Nurfiah Rifki Yuliandra Wahyudi