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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Asimetris: Pendidikan Matematika dan Sains Jurnal Tika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Ilmu Komputer Aceh
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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.    
Analisa Sistem Informasi Cv Sukma Jaya Motor Berbasis Web M. Fadlinur; Iqbal Iqbal; Sriwinar Sriwinar
Jurnal Ilmu Komputer Aceh Vol 1 No 1 (2023): Jurnal Ilmu Koputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v1i1.1895

Abstract

Perkembangan dunia internet sangat diharapkan untuk masa sekarang ini karena semakin banyak perusahaan swasta, instansi dan institusi pendidikan sangat tinggi akan kebutuhannya untuk dijadikan layanan informasi. Dalam penelitian ini akan mencoba membuat Sistem Informasi CV. SUKMA JAYA MOTOR yang beralamatkan di Meunasah Blang saat ini masih menggunakan sistem penjualan secara manual. Di antara faktor yang terkait dari sistem manual tersebut adalah kurangnya informasi secara luas, sistem analisis penjualan yang kurang efisien dan beberapa faktor lainnya. Metode yang digunakan dalam perancangan dan pembuatan perangkat lunak ini adalah metode Waterfall, bahasa pemrograman yang digunakan sebagai server-side scripting adalah PHP 5.2.2, HTML, Cascading Style Sheet (CSS) sebagai representasi content, Macromedia Dreamweaver MX, database MySQL sebagai penyimpanan data. Penelitian ini akan menghasilkan suatu Sistem Informasi Penjualan Spare Part Mobil dan Bengkel Berbasis Web pada CV. SUKMA JAYA MOTOR yang memiliki interface sesuai sehingga dapat memberikan informasi secara luas dan bisa mempermudah proses transaksi penjualan spare part dan bengkel secara praktis
Aplikasi Hadist Shahih Berbasis Android Muslem Muslem; Iqbal Iqbal; Najmuddin Najmuddin
Jurnal Ilmu Komputer Aceh Vol 1 No 1 (2023): Jurnal Ilmu Koputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v1i1.1894

Abstract

Hadits merupakan perkataan, perbuatan, ketetapan dan persetujuan dari Nabi Muhammad shallallahu’alaihi wa sallam yang dijadikan sebagai sumber hukum Islam kedua setelah Al Qur’an. Mempelajari hadits adalah salah satu hal yang sangat penting dalam Islam. Hadits yang dapat dijadikan panduan adalah hadits yang diyakini kebenarannya. Salah satu hadits yang paling diyakini kebenarannya adalah hadits shahih. Hadits shahih dapat ditemukan di dalam kitab-kitab hadits shahih seperti Shahih Al-Bukhari, Shahih Muslim, dan kitab ahli hadits abad ini yang di susun oleh Syaikh Al-Albani. Pada aplikasi ini penulis mengambil 40 hadist pada kitab al-‘Arba’in an-Nawawiyah. Aplikasi hadist shahih ini merupakan 2 dimensi dan bersifat single player terdapat 4 pilihan menu yang terdiri dari kata pengantar, hadist yang berisi 40 hadist shahih arbain nawawiyah, game atau kuis. Berdasarkan hasil pengujian menggunakan metode blackbox yang terdiri dari pengujian alpha dan beta dapat disimpulkan bahwa pembuatan aplikasi hadist shahih ini dapat membantu meningkatkan pengetahuan pengguna
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i1.37

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i1.46

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.
Co-Authors Armita Jaya Asmaul Husna Auna Fajriah Budi Handoyo Bulan Nuri Dasril Azmi Fitriani Fitriani Hannan Asrawi Iskandar Zulkarnaini M. Fadlinur Miftahul Jannah Mifzal Muslem Muslem Muslem R, Imam Nafira Najmuddin MA, Najmuddin Natasya Aulia Sriwinar Sriwinar Teuku Muhammad Johan Zikriana, Lissa