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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Tika KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Innovative and Creativity Jurnal Ilmu Komputer Aceh
Muslem R, Imam
Fakultas Ilmu Komputer, Universitas Al Muslim
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Penetapan Klaster Siswa Unggul Dengan Menggunakan Algoritma Roc-Smarter Armiady, Dedy; Muslem R., Imam
Jurnal Tika Vol 7 No 2 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i2.1229

Abstract

The development of the IT world today has penetrated into all sectors of human life, one of which is the education sector. However, the implementation that occurs in the field has not been fully maximized, considering that there are still educational institutions that still seem half-hearted in implementing information technology. This happens due to various problems, such as lack of funds for IT development, IT infrastructure that is still minimal, especially for educational institutions located far from urban areas, human resources that are still lacking in skills and knowledge and various factors. Many efforts can be taken to improve this, one of which is as carried out in this study. The focus of this research is to develop an application by applying the ROC-SMARTER method so that it can be used by MTsN 2 Bireuen in determining the superior student cluster. From the implementation of the research using the ADDIE approach (Analyze, Design, Development, Implementation, and Evaluation) it was found that the case of determining the cluster of superior students at MTsN 2 Bireuen could be solved effectively and efficiently where previously it was done using manual and traditional methods
Sistem Informasi Kalkulasi Zakat Pada Kantor Baitul Mal Kabupaten Bireuen Berbasis Android Winar, Sri; Rizki Putra, Erifki; Muslem R., Imam
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i3.1584

Abstract

The technology that is currently developing at its fastest pace is information and telecommunications technology, which presents a wide selection of forms and literature from various sources by searching for data to add insight in the development of applications that are made. The calculation of zakat basically has provisions and formulas that have been determined based on the hadith and Al-Qur'an, so to improve services and make it easier for the community in terms of determining and calculating zakat it is necessary to develop a calculation system so that people can easily determine the amount of zakat that must be issued by each individual zakat payer. In this research, the development of the Zakat Calculation Information System uses the php programming language which has been bundled in the Eclipse application. The resulting application will be able to help society in general and especially Android-based smartphone users in terms of calculating zakat including zakat fitrah to zakat mal. Zakat is wealth that must be issued if it meets the conditions determined by religion, and is distributed to people who have been determined as well, namely the eight groups who are entitled to receive zakat. In this study the method that will be used to help analyze problems and deal with problems is field research and literature review. This application has complete zakat calculations which include Zakat Fitrah and Zakat Maal (Zakat Treasure) and this application can assist users in calculating zakat independently and knowing the function of each zakat
Development of Multimodal Generative AI Models for Adaptive Education Personalization in the Era of Quantum Machine Learning Amin, Muhammad; Rizal, Chairul; Muslem R, Imam
Bahasa Indonesia Vol 17 No 09 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i09.437

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed the educational landscape, making it increasingly crucial to develop adaptive and personalized learning systems. This study explores the development of a multimodal Generative AI model designed for adaptive educational personalization, enhanced by Quantum Machine Learning (QML). The model integrates various data types, including text, images, and voice, to create customized learning content tailored to individual student needs and learning styles. By combining the power of generative AI with quantum-inspired optimization techniques, this model aims to offer a more responsive and efficient learning experience. The research employs a mixed-methods approach, combining both quantitative and qualitative data to evaluate the effectiveness of the model in improving learning outcomes. The findings suggest that this hybrid approach holds significant potential for revolutionizing adaptive education, especially in resource-limited environments, and aligns with current educational trends such as the Merdeka Curriculum in Indonesia. The study concludes by highlighting the impact of quantum machine learning in enhancing personalization and overcoming the challenges posed by traditional educational models.
Adaptive Heuristic-Based Ant Colony Optimization for Multi-Constraint University Course Timetabling with Morning Slot Preference for Energy Efficiency Muslem, Imam; Irvanizam, Irvanizam; Almuzammil, Almuzammil; Johar, Farhana
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5588

Abstract

University course timetabling is a well-known NP-hard combinatorial optimization problem that involves multiple interacting constraints, including lecturer availability, classroom capacity, time-slot allocation, and course duration. Most existing metaheuristic-based approaches primarily focus on eliminating academic conflicts, while contextual and operational aspects, such as energy efficiency, are rarely considered explicitly. In addition, standard Ant Colony Optimization (ACO) methods often suffer from premature convergence and limited adaptability during the solution search process. This study proposes an Adaptive Heuristic-Based Ant Colony Optimization (AHB-ACO) approach for multi-constraint university course timetabling with a particular emphasis on morning slot preference as an energy efficiency proxy. The proposed method extends the conventional ACO framework by integrating an adaptive heuristic mechanism that dynamically guides the solution construction process toward compact and conflict-free schedules, while simultaneously favoring morning time slots to support reduced classroom cooling demand. Hard constraints, including lecturer and room conflicts, are strictly enforced, whereas the temporal preference is modeled as a soft constraint. The performance of AHB-ACO is evaluated through extensive scheduling simulations using academic datasets under various parameter settings. Experimental results demonstrate that the proposed approach consistently produces conflict-free timetables, achieving a conflict function value of C(S)=0 with stable convergence behavior. Furthermore, parameter sensitivity analysis indicates that AHB-ACO exhibits good robustness with respect to variations in the number of ants and iterations, showing a reasonable trade-off between solution quality and computational time. Additional analysis reveals an increased utilization of morning time slots compared to non-optimized schedules, indicating the effectiveness of the proposed energy-aware preference. Overall, the results suggest that AHB-ACO provides an effective and adaptive solution for university course timetabling that not only satisfies academic constraints but also addresses operational considerations related to energy efficiency.
Prediction of KIP Scholarship Eligibility at Universitas Almuslim Using an Explainable Artificial Intelligence–Based XGBoost Algorithm Zulkifli; Maulana, Rizky; Al Wafi, Muhammad Yasar; Muslem, Imam
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 04 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i04.1963

Abstract

The selection process for Kartu Indonesia Pintar (KIP) scholarship recipients at the higher education level continues to face several challenges, including subjective assessment, limited transparency, and the suboptimal use of data-driven decision support systems. This study aims to develop a predictive model for KIP scholarship eligibility at Universitas Almuslim using the XGBoost algorithm integrated with an Explainable Artificial Intelligence (XAI) approach. The dataset employed in this study consists of synthetic data constructed based on official KIP selection parameters, encompassing economic, academic, social, and demographic aspects, thereby ensuring the confidentiality of student data. The research stages include data preprocessing, predictive modeling, policy-based validation, and analysis of prediction results. The XGBoost algorithm is utilized to generate eligibility predictions along with associated probability scores, which are subsequently evaluated to ensure alignment with scholarship selection principles and regulations. The simulation results demonstrate a clear separation between eligible and non-eligible students, with prediction probabilities predominantly concentrated at extreme values, indicating a high level of model confidence. Further analysis reveals that economic indicators and social affirmation variables exert a more dominant influence than academic factors, which function as supporting criteria. These findings indicate that the proposed system is capable of producing stable and consistent predictions while enhancing transparency and accountability in the decision-making process. This study proposes an interpretable scholarship eligibility prediction framework that can be adapted by other higher education institutions as a fair and data-driven decision support system.
Analisis Pemahaman Mahasiswa Terhadap Konten Edukasi Kesehatan Digital Berbahasa Indonesia Di Instagram Fina Meilinar; Imam Muslem R; Qamar Syafawi; Nazwa Amelia; Ulfa Khairuna; Gaitsa Zahira
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.3820

Abstract

Penelitian ini mengkaji lebih dalam bagaimana gaya bahasa dalam konten edukasi kesehatan di Instagram mempengaruhi pemahaman mahasiswa terhadap informasi kesehatan yang dikonsumsi. Tujuan dari penelitian ini untuk: 1) mengukur tingkat pemahaman mahasiswa terhadap konten edukasi kesehatan berbahasa Indonesia di Instagram, 2) mengidentifikasi faktor-faktor linguistik yang mempengaruhi pemahaman, dan 3) mengetahui gaya bahasa yang paling disukai mahasiswa dalam konten edukasi kesehatan digital. Metode pengumpulan data penelitian adalah survey dengan angket yang dibagikan secara online kepada mahasiswa aktif semseter 2023-2024 sejumlah 30 orang. Responden mahasiswa Fakultas Kesehatan sejumlah 43,3%, mahasiwa Fakultas Ilmu Komputer sebanyak 30%, dan mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik sejumlah 26,7%. Adapun sebanyak 56,7% adalah mahasiswa semester 2 dan 43,3% adalah mahasiswa semester 4. Adapun 50% responden mengikuti akun Instagram yang menyajikan konten edukasi (seperti @halodoc, @alodokter). Persepsi mahasiswa terhadap pemahaman konten edukasi menunjukkan bahwa mahasiswa cukup memahami isi dari konten tersebut, hanya 6,7% responden yang menyatakan kurang memahami isi dari konten tersebut dan berpendapat bahwa istilah medis dan struktur kalimat sulit untuk dipahami. Upaya perbaikan dapat dilakukan dengan menyederhanakan bahasa, mengurangi penggunaan istilah medis yang sulit, serta memanfaatkan visualisasi dan video untuk memperjelas informasi. Selain itu, pelatihan literasi digital bagi mahasiswa juga penting untuk meningkatkan pemahaman terhadap konten edukasi kesehatan di Instagram
A Tabu Search Approach for Capacitated Vehicle Routing with Pickup and Delivery in Motorcycle-Based Urban Logistics under Traffic and Weather Constraints Rizani, Fitri; Ananda Faridhatul Ulva; Muslem, Imam; Amin, Muhammad
Bahasa Indonesia Vol 17 No 10 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i10.449

Abstract

Motorcycle-based couriers play an essential role in urban logistics due to their flexibility and efficiency in congested environments. However, limited vehicle capacity combined with simultaneous delivery and pickup activities makes route planning a complex optimization problem. This study addresses the Capacitated Vehicle Routing Problem with Pickup and Delivery (CVRPPD) for motorcycle couriers by incorporating traffic congestion and weather conditions into the travel cost model. A Tabu Search metaheuristic is proposed to optimize routing decisions while simultaneously determining the optimal number of vehicles under a dynamic load constraint. The objective function is formulated using a lexicographic approach, prioritizing the minimization of the number of vehicles followed by the minimization of total travel cost, which is influenced by distance, traffic level, and weather condition. Computational experiments were conducted on a dataset consisting of one depot and 50 customers, with a maximum vehicle capacity of 30 kg. The simulation results demonstrate that the proposed approach consistently identifies an optimal solution using five motorcycles, which corresponds to the theoretical lower bound derived from total pickup demand. All customers are served exactly once without violating capacity constraints, and the maximum vehicle load reaches the allowable limit of 30 kg. The total travel cost obtained is 1316.262, indicating efficient route construction under dynamic environmental conditions. These results confirm that Tabu Search is an effective and robust approach for solving CVRPPD in motorcycle-based urban logistics, particularly when realistic operational factors such as traffic congestion and weather variability are considered.
Pembuatan Lip-Sync Menggunakan Metode Blendshape pada Animasi 3D Zukharam Zukharam; Johan TM; Imam Muslem
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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

Abstract

This study aims to produce virtual characters that can talk using a blendshape-based lip-sync technique. Generate lip-sync phoneme models in Indonesian on 3D-Animated characters. Applying Indonesian phoneme models to 3D-Animated characters. Make lip-sync research using the research's regional language, namely Indonesian. What makes it easier for animators, students and ordinary people who want to make 3D animation in Indonesian can be sampled for lip-syncing so that it can be applied with the resulting animation. The implementation stage is the stage which consists of the video creation process starting from the layout, R&D, modeling, texturing, rigging/setup, animation, VFX, lighting, to the rendering stage. The results showed that the final results were able to design lip-sync in this 3D cartoon animation according to the movement of the mouth with the sound that came out. In the lip-sync design process, we use a dope sheet which serves as a reference for mouth movements in animation. The end result is being able to set lip-sync through character control. The lip-sync process in the animation uses character control and is done only by moving the mouth control according to the predetermined dope sheet. The final result is able to present the story well based on the final result that follows the dope sheet
Implementasi Metode Tesseract Optical Character Recognition (OCR) pada Kasus Pengawasan Transportasi Darat Farida Hanum; Imam Muslem; Munar Munar
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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

Abstract

Vehicles are a means of transportation that can be used to facilitate the activity of moving from one place to another. Each vehicle has its own characteristics, namely the vehicle license plate. The vehicle license plate is the identity of a motorized vehicle that has a unique serial number in the form of numbers and letters. The license plate contains the area code, police number and related area. To be able to identify the vehicle license plate number so that it is easily recognized, the author uses the Tesseract Optical Character Recognition (OCR) method. The Tesseract Optical Character Recognition (OCR) method is a method that can convert images into text form which aims to make it easier to identify the text contained in the image. In this study, the testing process was carried out in 2 ways, namely image upload and real-time video capture. The test results using the image method produced a very good text reading success rate from images of 98%, while testing using the real-time video capture method produced a text reading success rate from images of 54.9%
Klasifikasi Plat Nomor Kenderaan Bedasarkan Wilayah Tertentu Menggunakan Algoritma Optical Character Recognition (OCR) Cut Haura Hayatun Jannah; Imam Muslem; Dasril Azmi
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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

Abstract

The advancement of artificial intelligence (AI) and digital image processing technologies has enabled the development of automated vehicle identification systems. This study aims to design a license plate classification system based on specific regional codes using the Optical Character Recognition (OCR) approach. The process involves several key stages, including image preprocessing (grayscale conversion, sharpening, noise reduction, and thresholding), character extraction via EasyOCR, and regional classification using Support Vector Machine (SVM) and Random Forest algorithms. The dataset consists of 1,920 vehicle plate images collected from two regions: BK (Medan) and BL (Aceh). Experimental results indicate that the SVM model achieved 86% accuracy, while the Random Forest model reached 84% accuracy. The system is deployed as a web-based application to facilitate automatic and efficient regional identification of vehicle plates. This research is expected to contribute to traffic monitoring systems and transportation security improvements
Co-Authors Al Wafi, Muhammad Yasar Almuzammil, Almuzammil Ananda Faridhatul Ulva Auna Fajriah Besra Laoli Budi Handoyo Cut Haura Hayatun Jannah Dasril Azmi Dedy Armiady Dewi, Rosna Dian Safitri Ela Firliza Erifki Rizki Putra Farida Hanum Fina Meilinar Fitri Rizani Fitriani Fitriani Gaitsa Zahira Hannan Asrawi Heri Gustami Iqbal Iqbal Iqbal Irvanizam, Irvanizam Johan Johan Johan TM Johan, T. M. Johan, T. Muhammad Johar, Farhana Khalisah Khalisah Luthfi Muhammad Amin Munar Munar Nazwa Amelia Nisaul Fitri Noratul Iqramah Nurannas Qamar Syafawi Ratna Dewi Rauzi Saputra Rifa Hayatul Nisa Riyadhul Fajri Riyadhul Fajri Rizal Rizal Rizal, Chairul Rizani, Fitri Rizki Putra, Erifki Rizky Maulana, Rizky Sriwinar Sriwinar Sriwinar Sriwinar, Sriwinar Teuku Muhammad Johan Teuku Muhammad Johan Ulfa Khairuna Vanessa Shakila Vianaza Winar, Sri Zaqila Amanda Zukharam Zukharam Zulkifli Zulkifli