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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
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.
Rancang Bangun Sistem Monitoring Kesehatan Pasien Berbasis IoT dengan Peringatan Dini Handoyo, Budi; Muhammad Johan, Teuku; Muslem R, Imam; Iqbal, Iqbal
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v9i2.26317

Abstract

Keterbatasan ketersediaan serta tingginya biaya perangkat pemantauan pasien konvensional di rumah sakit mendorong perlunya solusi alternatif yang terjangkau, fleksibel, dan mampu melakukan pemantauan secara real-time. Penelitian ini menyajikan perancangan dan implementasi sistem pemantauan kesehatan pasien berbasis Internet of Things (IoT) untuk perawatan inap non-intensif. Sistem ini memantau parameter vital utama, meliputi suhu tubuh, denyut jantung, dan saturasi oksigen darah, guna mendukung deteksi dini terhadap kondisi pasien yang tidak normal. Sistem dikembangkan menggunakan mikrokontroler ESP32 Lolin Lite yang terintegrasi dengan sensor MAX30102 untuk pengukuran denyut jantung dan saturasi oksigen, sensor DS18B20 untuk pengukuran suhu tubuh, layar OLED 0,91 inci untuk visualisasi lokal, serta jaringan Wi-Fi lokal menggunakan router WRT54G. Data pasien dikirimkan ke server lokal untuk penyimpanan yang aman dan ditampilkan melalui antarmuka berbasis web yang dapat diakses oleh tenaga medis dan keluarga pasien. Kinerja sistem dievaluasi dengan membandingkan hasil pengukuran terhadap alat pemantauan medis referensi menggunakan sepuluh sampel pengujian untuk setiap parameter. Hasil pengujian menunjukkan rata-rata persentase galat sebesar 1,31% untuk denyut jantung, 0,27% untuk suhu tubuh, dan 1,02% untuk saturasi oksigen darah, yang mengindikasikan tingkat akurasi pengukuran yang baik. Sistem yang dikembangkan terbukti layak sebagai solusi pemantauan pasien berbasis IoT yang andal dan berbiaya rendah, serta berpotensi untuk dikembangkan lebih lanjut dan diintegrasikan dengan sistem rekam medis rumah sakit.
Co-Authors Al Wafi, Muhammad Yasar Almuzammil, Almuzammil Ananda Faridhatul Ulva Budi Handoyo Dedy Armiady Dewi, Rosna Erifki Rizki Putra Fina Meilinar Fitriani Fitriani Gaitsa Zahira Iqbal Iqbal Irvanizam, Irvanizam Johan Johan Johan, T. M. Johan, T. Muhammad Johar, Farhana Luthfi Muhammad Amin Muhammad Johan, Teuku Nazwa Amelia Qamar Syafawi Ratna Dewi Rizal Rizal Rizal, Chairul Rizani, Fitri Rizki Putra, Erifki Rizky Maulana, Rizky Sriwinar, Sriwinar Teuku Muhammad Johan Ulfa Khairuna Winar, Sri Zulkifli Zulkifli