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Universitas Almuslim
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Sistem Pakar Diagnosa Penyakit Autis Pada Anak-Anak Menggunakan Metode Fuzzy Logic Iqbal Iqbal; Asmaul Husna
Jurnal Tika Vol 8 No 2 (2023): 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.v8i2.2065

Abstract

Autism is a disease caused by disorders of the brain. There are many types of child development disorders that parents are not aware of. One of the child development disorders is autism. The variables supporting the diagnosis of the disease are used in the formation of fuzzy sets. The fuzzy set will produce a definite decision. The purpose of this thesis research is to build an expert system that is capable of making disease diagnosis decisions in accordance with the knowledge of experts or doctors. Meanwhile, expert system development tools use the PHP and MySQL programming languages. The designed application has been tested involving diagnostic medical records from doctors or specialists in autism in children, the results of the decisions produced by the application are the same as the doctor's diagnoses listed in the medical record. In general, this web-based Expert System application can be used as a tool or companion in diagnosing autism in humans without having to directly consult a doctor face to face
Efektivitas Aplikasi Desmos Terintegrasi PjBL pada Pembelajaran Matematika Multimedia Ditinjau dari Kemampuan Literasi Matematis Bulan Nuri; Lissa Zikriana; Iqbal Iqbal
Jurnal Penelitian Pendidikan IPA Vol 9 No 11 (2023): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i11.5497

Abstract

This study aims to determine the effectiveness of the desmos application integrated with PjBL in terms of mathematical literacy skills, the effectiveness of multimedia mathematics learning in terms of mathematical literacy skills and the effectiveness of the desmos application integrated with PjBL in multimedia mathematics learning in terms of mathematical literacy skills. This research design is quasi-experiment with a post-test only control group design. The research subject were 60 students of senior high schools at SMA Negeri 3 Bireuen with a total research population of 102 students. The sample in this study was determined by a convenience sampling technique. The instrument used was a diagnostic test consisting of three questions based on mathematical literacy skills. The data were analyzed using the classical completeness test, different proportion test and t-test. Based on the research findings, it is deducible that the Desmos application yields better results when integrated with PjBL concerning mathematical literacy skills. Moreover, mathematics learning supported with multimedia is more efficacious for enhancing mathematical literacy skills. Lastly, when evaluating mathematical literacy skills, combining Desmos application with PjBL and multimedia in mathematics learning proves to be the most effective approach
Media Pembelajaran Berhitung Interaktif Menggunakan Augmented Reality Sriwinar Sriwinar; Iqbal Iqbal; Iskandar Zulkarnaini; Miftahul Jannah
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol 5 No 2 (2024): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v5i2.3045

Abstract

Tujuan penelitian ini adalah untuk dapat merancang media pembelajaran berhitung untuk pendidikan dasar dengan menggunakan Augmented Reality sehingga pembelajaran dapat di akses dengan media komputer, laptop atau smartphone. Metode penelitian ini menggunakan pengamatan atau observasi terhadap informasi yang akan dibutuhkan dalam pembuatan aplikasi. analisis kebutuhan sistem lalu dilakukan perancangan system dengan menggunakan perancangan sistem aplikasi  dengan Unified Modeling Language (UML).   Hasil dari sistem yang telah dibangun dan dapat membantu pengajar dan peserta didik dalam proses belajar dan mengajar pengenalan angka dan berhitung. Aplikasi yang telah di buat hanya dapat dijalankan dengan marker yang telah ditentukan. Teknik AR dengan metode marker based tracking membutuhkan gambar penanda yang terdeteksi oleh sistem, sehingga dapat menampilkan objek 3D.    
Sistem Pendukung Keputusan Penentuan Siswa Terbaik Sma Negeri 19 Takengon Menggunakan Metode Saw Armita Jaya; Iqbal Iqbal; Dasril Azmi
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

Decision Support Systems (DSS) can be in the form of a computer-based system that produces various decision alternatives to assist management in dealing with various structured and unstructured problems using data and models. SPK can also be applied to determine the best student assessment, one of which is at Takengon 19 State High School (SMA)
Prediksi Kemacetan Lalu Lintas di Persimpangan Menggunakan Metode Random Forest Auna Fajriah; Imam Muslem; Iqbal Iqbal
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

Traffic congestion at intersections is signifikan problem in urban areas that causes decreased transportation efficiency, increased air pollution and economic losses. The research data were obtained from the extraction of live CCTV video with main features including time, number of vehicles, average speed and congestion class (congestion, light congestion, and freeway). The research data were obtained from the extraction of live CCTV video with main features including time, number of vehicles, average speed and congestion class (congestion, light congestion, and freeway). The dataset was then saved in CSV format and subjected to preprocessing, model training, and evaluation. The results indicate that this model can form the basis for an intelligent traffic management system. This research contributes to traffic management at intersections and supports the development of artificial intelligence-based solutions to reduce congestion
Perancangan Sistem Pengolahan Citra Digital Klasifikasi Jenis Ikan Laut Menggunakan Model Logisitic Regression Mifzal; Iqbal Iqbal; Dasril Azmi
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

This research develops a web-based marine fish classification system by applying digital image processingtechniques and the Logistic Regression algorithm. The system is intended to recognize four marine fish species, namely milkfish, mackerel tuna, yellowstripe scad, and threadfin bream, through the combination of color and texture feature representations. Color characteristics are extracted using HSV color histograms, while texture information is obtained using the Local Binary Pattern (LBP) method. The experimental dataset consists of 4,000 fish images, with 3,200 images allocated for model training and 800 images used for testing. The evaluation results indicate that the proposed approach achieves an overall accuracy of 89%, with precision, recall, and f1-score values exceeding 0.85 for most fish categories. The system enables automatic image uploading, feature extraction, and classification via a Flask-based web interface, including the capability to detect images that do not belong to the trained classes. Despite achieving promising results, the system is still affected by limitations related to dataset size and visual similarities among fish species. Future work may focus on increasing data diversity and performing evaluations in real-world environments to enhance system reliability and generalization.
Analisis Prediktif Tingkat Kematangan Alpukat Menggunakan Algoritma Logistic Regression Natasya Aulia; Iqbal Iqbal; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

Determining the ripeness level of avocado fruit is an important factor in distribution, marketing, and consumption processes. Conventional ripeness assessment is often subjective and dependent on human experience, which can lead to inconsistent results. This study aims to develop an avocado ripeness prediction system using the Logistic Regression algorithm based on physical and visual fruit characteristics. The dataset consists of 1,250 avocado samples with features including firmness, color attributes, tapping sound, weight, and fruit size. Data preprocessing involved cleaning, normalization of numerical features using StandardScaler, and categorical feature transformation using one-hot encoding. The experimental results show that the proposed model achieved an accuracy of approximately 77% in classifying avocado ripeness into ripe and unripe categories, indicating that Logistic Regression is a lightweight and efficient approach for numerical-based ripeness prediction systems.
Klasifikasi Kelayakan Penerimaan Beasiswa Kip Menggunakan Metode Decision Tree Nafira; Iqbal Iqbal; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

The KIP Kuliah program aims to improve access to higher education for students from underprivileged families. The scholarship selection process, which is often conducted manually, tends to be inefficient and prone to subjectivity. This study aims to develop a classification model using the Decision Tree C4.5 algorithm based on a data mining approach. The dataset includes parents’ income, parents’ occupation and education, number of dependents, home ownership and condition, electricity capacity, house size, and achievement data. The research stages include data collection, preprocessing, model development, and evaluation using a confusion matrix and performance metrics such as accuracy, precision, recall, and f1-score. The results show that the model achieves an accuracy of 98%. Parents’ income and number of dependents are the most influential factors in determining eligibility. The resulting model has a simple structure, making it easy to interpret and useful for supporting a more objective and efficient selection process.
Rancang Bangun Sistem Monitoring Kesehatan Pasien Berbasis IoT dengan Peringatan Dini Budi Handoyo; Teuku Muhammad Johan; Imam Muslem R; 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.
Expert System for Diagnosing Hernia Disease (Herniae) Using the Forward Chaining Method Iqbal Iqbal; Dasril Azmi; Fitriani Fitriani
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.v10i1.26943

Abstract

This study aims to analyze and design an expert system for diagnosing hernia using the Forward Chaining and Certainty Factor methods. This system was developed to assist in the process of determining a diagnosis based on the main symptoms experienced by the patient, while also providing appropriate treatment recommendations. To address the problem of knowledge uncertainty that often arises in expert systems, this study integrates the Certainty Factor method to measure the level of confidence in the diagnosis results. Meanwhile, the Forward Chaining method is used as a reasoning mechanism that starts from facts or symptoms provided by the patient to a conclusion in the form of a disease diagnosis. The diagnosis process in this system begins with a consultation session, where the system will ask a series of relevant questions according to the symptoms experienced by the patient. Based on the answers given, the system will make inferences to produce a diagnostic decision. Based on the test results, the expert system built is able to provide a diagnosis that is close to the assessment of medical experts. The Certainty Factor testing model provides advantages in measuring the level of confidence in the diagnosis, so that the results given are not absolute, but have a more realistic probabilistic value. Thus, an expert system for diagnosing hernia is able to overcome uncertainty and produce a confidence level value for the diagnosis. Based on test results, the system demonstrated a fairly good accuracy rate, around 90%–97%, depending on the combination of symptoms selected. Thus, the CF method is effective as an aid in initial diagnosis, although it still requires further examination by medical personnel.
Co-Authors Armita Jaya Asmaul Husna Asrawi, Hannan Auna Fajriah Budi Handoyo Bulan Nuri Dasril Azmi Fitriani Fitriani Iskandar Zulkarnaini M. Fadlinur Miftahul Jannah Mifzal Muslem Muslem Muslem R, Imam Nafira Najmuddin Najmuddin Natasya Aulia Sriwinar Sriwinar Teuku Muhammad Johan Zikriana, Lissa