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PKM PENGAJIAN HAFALAN QUR’AN WAKTU NYATA MENGGUNAKAN PERANGKAT LUNAK Fadlisyah Fadlisyah; Muhammad Fikry; Salahuddin Salahuddin
Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI) Vol 1 No 1 (2025): Jurnal Pengabdian Masyarakat Teknologi Informasi
Publisher : LPPM Unimal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0330/peranti.v1i1.25623

Abstract

Peningkatan minat masyarakat terhadap hafalan Qur’an, telah memunculkan ide-ide baru terutama dalam membantu masyarakat meningkatkan hafalannya dalam waktu yang singkat. Salah satu pendekatan alternatif tersebut adalah pemanfaatan teknologi yang tepat dan akurat dalam mengevaluasi setiap hafalan dari peserta hafalan Qur’an. Konsep sistem yang dibagun hanya berperan sebagai pengujian hafalan awal, sebelum para peserta menampilkan hafalannya di hadapan para guru. Sistem dibangun dengan seramah mungkin agar masyarakat awam mampu dan mudah menggunakannya, Setelah dilakukan pengujian sistem terhadap para peserta hafalan, diperoleh adanya peningkatan minat dan percepatan masyarakat peserta penghafal Qur’an dalam menyelsaikan hafalannya. Hasil evaluasi menunjukkan bahwa rata-rata 50% dari total peserta berhasil menyelesaikan hafalan dan dianggap layak oleh sistem setelah pengujian pertama, dan 50% sisa peserta berhasil menyelesaikan hafalannya dan telah dianggap layak oleh sistem setelah pengujian kedua. Kata kunci : Hafalan Qur’an, Sistem
PKM PENGAJIAN KITAB TANBIHUL MUGHTARRIN MEMANFAATKAN TEKNOLOGI KOMPUTER Fadlisyah Fadlisyah; Zahrul Mubarak; Helmi Imran; Zarkasyi Zarkasyi; Maizuar Maizuar
Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI) Vol 1 No 1 (2025): Jurnal Pengabdian Masyarakat Teknologi Informasi
Publisher : LPPM Unimal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0330/peranti.v1i1.25762

Abstract

Peningkatan penerapan teknologi dan ditemukannya dengan minat masyarakat terhadap ilmu agama, telah memunculkan ide-ide baru terutama dalam membantu masyarakat meningkatkan penguasaannya akan ilmu yang bersumber dari kitab Tanbihul Mughtarrin dalam waktu yang singkat. Salah satu pendekatan alternatif tersebut adalah pemanfaatan teknologi yang tepat untuk membantu masyarakat agar mahir dan lancar dalam mentahqiq kitab Sabilal Muhtadin. Berdasarkan analisis situasi, untuk mewujudkan pemahaman ilmu fikih melalui kitab Tanbihul Mughtarrin dengan menggunakan alat bantu komputer, maka Tim pengabdian membangun dan memperkenalkan penggunaan alat bantu pemahaman kitab Tanbihul Mughtarrin berbasis komputer. Setelah dilakukan evaluasi terhadap para peserta, diperoleh adanya peningkatan minat dan percepatan masyarakat peserta dalam syarh kitab Tanbihul Mughtarrin. Hasil evaluasi menunjukkan bahwa 87,5% dari total peserta berhasil menyelesaikan syarh dan dianggap layak dan sisanya setelah pengujian tahap kedua. Kata kunci : Tanbihul Mughtarrin, Sistem
Automated Testing of Surah Yasin Memorization Using Discrete Cosine Transform (DCT) for Voice Recognition Rizky Darma Putra; Fadlisyah Fadlisyah; Hafizh Al Kautsar Aidilof
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26789

Abstract

Memorizing the Qur'an is a highly recommended act of worship for Muslims, yet traditional learning methods often face constraints such as the limited availability of competent teachers. This research aims to develop and measure the performance of an automated system for testing the memorization of Surah Yasin (verses 1-83) through voice recognition using the Discrete Cosine Transform (DCT) method. The DCT method is applied to convert voice signals from the time domain to the frequency domain, extracting unique features from each verse to be compared with reference voice samples. The system was tested on all 83 verses using 6 training voice samples and 4 test voice samples per verse, totaling 830 samples. System performance was evaluated using four variations of probability constants (error tolerance): 0.3, 0.4, 0.5, and 0.6. The results indicate that the probability constant significantly affects the system's accuracy. The detection rates achieved were 70.2% (constant 0.3), 84.6% (constant 0.4), 89.8% (constant 0.5), and peaked at 93.4% (constant 0.6). With an overall average detection rate of 84.5%, the DCT method is proven effective, and the developed system has strong potential as a reliable aid for Qur'an memorizers.
Implementasi Metode Double Exponential Smoothing untuk Prediksi Jumlah Kebutuhan Air di PDAM Tirta Mon Pase Rahmatin Nisak; Arnawan Hasibuan; Said Fadlan Anshari; Rozzi Kesuma Dinata; Fadlisyah Fadlisyah
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5210

Abstract

Clean water is an essential human need, yet its provision is frequently disrupted by demand uncertainty, as experienced by PDAM Tirta Mon Pase with recurring public complaints regarding water supply interruptions. This study aims to design and implement a water demand forecasting system using the Double Exponential Smoothing (Holt’s Linear Trend) method and to evaluate its accuracy. The research utilized monthly historical water production data from January 2022 to December 2024 (36 observations) obtained from PDAM Tirta Mon Pase. The model was applied with smoothing parameters α = 0.8 and β = 0.2, and accuracy was measured using Mean Absolute Percentage Error (MAPE). The results show a very high level of accuracy with an overall MAPE of 3.56% (2022: 4.18%; 2023: 3.91%; 2024: 2.65%), and the forecast predicts water demand in December 2027 will reach 1,131,071.39 m³. It can be concluded that the Double Exponential Smoothing method is highly accurate and effective for forecasting water demand at PDAM Tirta Mon Pase. The developed system is therefore strongly recommended for operational adoption as a strategic decision-support tool in water resource planning, production, and infrastructure development.
SISTEM PENDETEKSI POLA FI’IL TSULATSI MAZID BI HARFIN PADA CITRA AL-QUR’AN MENGGUNAKAN BINARY SIMILARITY AND DISTANCE MEASURES Fadlisyah Fadlisyah
Jurnal Teknologi Terapan and Sains 4.0 Vol 7 No 2 (2026): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v7i2.28113

Abstract

Kalimat-kalimat pada citra Qur’an secara visual membentuk berbagai pola. Salah satu pola yang dipilih untuk dijadikan objek dalam penelitian ini adalah pola Fi’il Tsulatsi Mazid bi Harfin Pada penelitian ini, pola Fi’il Tsulatsi Mazid bi Harfin akan dideteksi melalui teknik-teknik pengolahan citra dan selanjutnya pengukuran kelas pola dilakukan dengan menggunakan metode Binary Similarity And Distance Measures (BSDM). Hasil penelitian menunjukkan bahwa sistem pendeteksi pola menggunakan Binary Similarity And Distance Measures (BSDM) melalui formula Stiles memiliki detection rate berkisar dari 65% hingga 90%. Persentase detection rate tersebut menunjukkan bahwa formula Stiles dapat digunakan sebagai salah satu pendekatan untuk pendeteksian pola-pola yang sejenis. Keunggulan formula Stiles adalah kemampuan pengenalan pola dengan jumlah data referensi yang tidak terlalu besar, sangat tepat untuk diterapkan pada sIstem. Kata kunci: Binary Similarity And Distance Measures (BSDM), Stiles
SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN LOKASI MASJID DAN MEUNASAH DI KOTA LHOKSEUMAWE MENGGUNAKAN ALGORITMA HAVERSINE BERBASIS WEBSITE: GEOGRAPHIC INFORMATION SYSTEM FOR MAPPING THE LOCATION OF MOSQUES AND MEUNASAH IN LHOKSEUMAWE CITY USING THE WEBSITE-BASED HAVERSINE ALGORITHM Agus Prayoga; Fadlisyah Fadlisyah; Hafizh Al kautsar Aidilof
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6381

Abstract

This research aims to develop a web-based Geographic Information System (GIS) that maps the location of mosques and meunasah in Lhokseumawe City, and uses the Haversine Algorithm to calculate the closest distance between users and places of worship. The main purpose of this system is to provide fast, accurate, and efficient information, especially for newcomers or residents in finding the nearest place of worship. The method used is the waterfall system development model, with system design using the Unified Modeling Language (UML) to visualize the workflow and data structure. Data is obtained through interviews with mosque administrators and the community, as well as taking coordinates using a GPS device. The test results show that the Haversine Algorithm can calculate the distance accurately and find the location of the nearest mosque or meunasah based on the user's position. However, this system has limitations because distance calculations only consider straight lines between points (geodesic), without taking into account the actual route of the road. This research concludes that a web-based GIS that integrates the Haversine Algorithm provides real-time distance information, makes it easier for people to find the nearest place of worship, and increases the accessibility of information and participation in religious activities in Lhokseumawe City.
The SISTEM PENJADWALAN PADA DAYAH DARUL MUARRIF AL-AZIZIYAH MENGGUNAKAN METODE ALGORITMA GENETIKA: SCHEDULING SYSTEM AT DAYAH DARUL MUARRIF AL-AZIZIYAH USING GENETIC ALGORITHM METHOD Zikratul Maulana; Fadlisyah Fadlisyah; Fajriana Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6405

Abstract

The scheduling of subjects at Dayah Darul Muarrif Al-Aziziyyah is a complex problem due to multiple constraints, such as teacher availability, classroom capacity, and student learning time. This problem falls into the NP-hard category, making conventional methods less effective. This study utilizes a genetic algorithm to efficiently solve the scheduling problem. The schedule is represented as a chromosome containing subject, time, room, and teacher data. Evaluation is performed using a fitness function based on hard constraints (such as schedule conflicts) and soft constraints (such as time preferences). The results demonstrate that the genetic algorithm can produce feasible and more efficient schedules compared to manual scheduling. This study supports the development of adaptive automatic scheduling systems for educational institutions. In addition, the system is designed with a user-friendly interface and is capable of evolving the population iteratively to find an optimal or near-optimal solution. Testing was conducted using real data from Dayah Darul Muarrif Al-Aziziyyah, demonstrating the system’s ability to handle various combinations of constraints with a high degree of accuracy. Thus, this approach not only accelerates the scheduling process but also improves the overall quality of schedule management.
KLASIFIKASI TEMA AYAT AL-QUR'AN PADA JUZ 30 MENGGUNAKAN TEXT MINING DAN ALGORITMA C4.5 BERBASIS WEB: CLASSIFICATION OF QUR'ANIC VERSE THEMES IN JUZ 30 USING TEXT MINING AND THE C4.5 ALGORITHM BASED ON WEB Jihan Adila; Fadlisyah Fadlisyah; Said Fadlan Ansari
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6502

Abstract

This study aims to develop a classification system for themes of the verses of the Qur'an in Juz 30 using the web-based C4.5 algorithm. The C4.5 algorithm has proven effective in the classification process, providing high accuracy in data processing. This system is designed to help users access and understand the themes contained in the verses automatically. By using text mining, this study allows processing and analysis of the text of the Qur'an, while the C4.5 algorithm is used to build a decision tree to classify themes such as morality, monotheism, and life after death. The data used consists of 38 themes that have been categorized based on the meaning and messages contained in the verses of Juz 30. The evaluation results of the model show an accuracy of 89.77%, with other evaluation metrics such as precision, recall, and F1-score showing satisfactory results. This system is implemented in the form of a web-based application, which allows users to select a theme and get related verses quickly and efficiently. With a simple and easy-to-use interface, this application makes it easy to search and understand themes in the Qur'an, and contributes to the development of understanding of Islamic teachings through modern technology.
Pruning-Based ShuffleNetV1 Optimization for Plant Disease Image Classification and Web-Based System Prototype Implementation: Indonesia Taufik Ismail Simanjuntak; Muhathir Muhathir; Fadlisyah Fadlisyah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.15374

Abstract

Diseases and pest infestations on tea plants can significantly reduce the quality and quantity of production, necessitating an early detection system based on artificial intelligence. Although deep learning architectures are capable of providing high accuracy, their large model size remains a major constraint for deployment on resource-limited devices. This study aims to compress the ShuffleNet V1 architecture using an L2-Norm based structured pruning method for the classification of six classes of tea leaf conditions utilizing a dataset from Mendeley Data. The model evaluation is carried out using the 5-Fold Cross Validation method with a fine-tuning process for 5 epochs to restore the network representation capacity after pruning. The experimental results demonstrate that the application of structured pruning successfully reduces the total parameters and computational operations significantly without sacrificing model performance. The compressed model is able to maintain an optimal accuracy reaching up to 99% across various pruning scale scenarios from 10% to 50%, while simultaneously providing a noticeable inference speedup. In the final stage, the best compressed model file is integrated into a web interface program, enabling users to perform tea leaf disease classification practically and responsively directly through a web browser. This research proves that the combination of ShuffleNet V1 and structured pruning can produce a highly lightweight yet accurate model for web implementation needs
Implementasi Media Augmented Reality dalam Pembelajaran Materi Digital pada Mahasiswa Semester II Teknik Informatika UNIMAL Eva Darnila; Cindenia Puspasari; Fadlisyah Fadlisyah
Jurnal Solusi Masyarakat Dikara Vol 5, No 3 (2025): Desember 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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

Abstract

Implementasi media Augmented Reality (AR) sebagai inovasi pembelajaran pada mata kuliah materi dasar digital untuk mahasiswa semester 2 Program Studi Teknik Informatika Universitas Malikussaleh. Teknologi AR digunakan untuk menghadirkan visualisasi tiga dimensi pada konsep-konsep digital yang bersifat abstrak, seperti sistem bilangan, gerbang logika, aljabar Boolean, peta Karnaugh, dan rangkaian flip-flop. Penggunaan AR memungkinkan mahasiswa berinteraksi langsung dengan objek 3D sehingga proses pemahaman materi menjadi lebih konkret, menarik, dan mudah dipahami. Metode pelaksanaan kegiatan meliputi penyampaian materi teori mengenai konsep dasar digital dan prinsip kerja AR, bimbingan praktik menggunakan aplikasi AR berbasis marker-based tracking, serta evaluasi yang dilakukan melalui angket skala Likert dan observasi. Instrumen penilaian difokuskan pada aspek pemahaman, motivasi belajar, tampilan visual, dan interaktivitas dalam proses pembelajaran. Hasil implementasi menunjukkan bahwa 40 mahasiswa yang terlibat memberikan respons positif terhadap penggunaan AR, dengan nilai rata-rata penilaian berada pada kategori baik hingga sangat baik. Mahasiswa terlihat lebih aktif, antusias, dan mampu menghubungkan teori dengan praktik melalui eksplorasi objek 3D. Visualisasi AR yang jelas dan fitur interaktif seperti rotasi, zoom in, dan zoom out membantu memperkuat pemahaman konsep digital yang sebelumnya sulit dibayangkan melalui metode konvensional. Secara keseluruhan, AR terbukti efektif sebagai media pembelajaran yang inovatif, interaktif, dan mampu meningkatkan kualitas pembelajaran materi dasar digital di Perguruan Tinggi.
Co-Authors Adani, Safira Agus Prayoga Alfi Fauzi Alfyansyah, Gusti Altharizka, Muhammad Aldonny Alzaky, Muammar Aris Munandar Aris Munandar Arnawan Hasibuan Aryandi Aryandi Aryandi, Aryandi Asmi, Nurul Annisa Asmirayani Asmirayani Asmirayani, Asmirayani Aulia Barus, M Farhan Azzahra, Dea Bustami Bustami Bustami Bustami Cindenia Puspasari Cindy Cika Pradita Cut Ita Erliana Cut Lika Mestika Sandy Dahlan Abdullah Dea Azzahra Dessayani Putri Eva Darnila Fahrozi, Mahlil Fajriana Fajriana Fajriana, Fajriana Fasdarsyah Fasdarsyah Fauzi, Alfi Fuadi, Wahyu Gusti Alfyansyah Gusti Alfyansyah Hafizh Al Kautsar Aidilof Hamdhana, Defry Hamdhana, Defry Helmi Imran Intan Nuriani Ira Safira Irhami, Putri Irma Mauliza Irwansyah, Defi Jalaluddin Jalaluddin Jalaluddin Jalaluddin Jihan Adila Kamilaini Kamilaini Kamilaini, Kamilaini Lidya Rosnita Maizuar Maizuar Mara Wahyu Alamsyah Pane Maryana Maryana Maryana Maryana Maryana Maryana, Maryana Mauliza, Irma Muammar Alzaky Muhammad Aldonny Altharizka Muhammad Fikry Muhammad Rivai Muhathir Muhathir Muhathir, Muhathir Muhathir, Muhathir Muhathir, Muhathir Mukti Qamal Mukti Qamal Muqarrabin, Khalis Al Mutammimul Ula Nasriah Nasriah Nasriah Nasriah Noor, Fredy Nurdin Nurdin Nurdin Nurdin Nurdin Nurdin Nuriani, Intan Nuriani, Intan Putri, Dessayani Putri, Husna Moetia Rahmatin Nisak Reyhan Achmad Rizal Riansyah, Muhammad Risawandi, Risawandi Rizal Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizki Suwanda Rizky Darma Putra Rofiq Harun Rozzi Kesuma Dinata Safari, T Mirzal Safira Adani Safwandi Safwandi Safwandi Safwandi, Safwandi Said Fadlan Ansari Said Fadlan Anshari Salahuddin Salahuddin Sari, Putri Amelia Sayed Fachrurrazi Siregar, M. Ali Akbar Sujacka Retno Syahputra, Dinur Syahrial Syahrial SYAHRIAL SYAHRIAL Syahriani Putri Ayu Taufik Ismail Simanjuntak Taufik Ismail Simanjuntak Taufiq Taufiq Tri Ramdhany Uliana, Lisa Wahyu Fuadi Widari, Liz Ayu Yasir Amani Yesy Afrillia Zahrul Mubarak Zara Yunizar Zarkasyi Zarkasyi Zikratul Maulana Zuhra, Elviza