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Aplikasi Media Pembelajaran Teknologi Augmented Reality Berbasis Android Rizky Sahril Djaina; Syahrial Syahrial; Mohamad Ilyas Abas
Jurnal Ilmu Komputer (JUIK) Vol 1, No 2 (2021): October 2021
Publisher : Universitas Muhammadiyah Gorontalo

This research was conducted at SMK N 3 Gorontalo, which aims to develop learning media applications using augmented reality technology. At first the teaching system only led to conventional teaching, namely through power point teaching materials and print media as well as the lack of available hardware or network equipment and the absence of computers that were ready to be disassembled and then developed using augmented reality technology. Through this research, it is hoped that the learning process will be more interactive. This application was developed using a prototype system development method that has a Requirements Gathering and Analysis phase, Quick Design, Build Prototype, User Evaluation, Refining Prototype and Engineer Product. The result of this study is a software application, namely an android-based augmented reality technology learning media application.

Aplikasi Media Pembelajaran Teknologi Augmented Reality Berbasis Android Rizky Sahril Djaina; Syahrial Syahrial; Mohamad Ilyas Abas
Jurnal Ilmu Komputer (JUIK) Vol 1, No 2 (2021): October 2021
Publisher : Universitas Muhammadiyah Gorontalo

This research was conducted at SMK N 3 Gorontalo, which aims to develop learning media applications using augmented reality technology. At first the teaching system only led to conventional teaching, namely through power point teaching materials and print media as well as the lack of available hardware or network equipment and the absence of computers that were ready to be disassembled and then developed using augmented reality technology. Through this research, it is hoped that the learning process will be more interactive. This application was developed using a prototype system development method that has a Requirements Gathering and Analysis phase, Quick Design, Build Prototype, User Evaluation, Refining Prototype and Engineer Product. The result of this study is a software application, namely an android-based augmented reality technology learning media application.

PENERAPAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) TERHADAP PENGGUNAAN SISTEM INFORMASI AKADEMIK UNIVERSITAS MUHAMMADIYAH GORONTALO Silvana Yusuf; Mohamad Ilyas Abas; Syahrial Syahrial; Rizal Lamusu
Jurnal Ilmu Komputer (JUIK) Vol 2, No 2 (2022): October 2022
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v2i2.1714

enelitian ini bertujuan untuk menerapkan model UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) pada Sistem Informasi Akademik (SIA) Universitas Muhammadiyah Gorontalo. Model UTAUT dipilih karena dapat menggambarkan representatif dari keterterimaan sistem dari perilaku pengguna terkait teknologi baru maupun lama. Empat konstruk yang di uji yakni Ekpektasi Kinerja (Performance Expectancy), Ekpektasi Usaha (Effort Expectancy), Pengaruh Sosial (Social Influence), Kondisi Fasilitas (Facility Condition) untuk mengetahui pengaruh Minat Perilaku (Behavioral Intention) dan Perilaku Menggunakan (Use Behavior). Responden yang berhasil dikumpulkan sebanyak 235 yang berasal dari semua program studi baik dosen dan mahasiswa. Data dikumpulkan melalui sebaran kuisioner kemudian diolah menggunakan salah satu aplikasi pengolahan statistik yakni Lisrel. Hasil yang didapatkan dari pengolahan tersebut dari ke empat variabel tersebut berpengaruh positif terhadap Minat Perilaku dan Perilaku Menggunakan sebesar lebih dari 90%. Manfaat dari penelitian dapat memberikan informasi keterterimaan SIA UMGO dikalangan pengguna untuk mengetahui seberapa penting peran SIA UMG dan juga pengembangan sistem kedepan.

STUDI ANALISIS FATWA TARJIH MUHAMMADIYAH TENTANG ROKOK DAN DAMPAKNYA TERHADAP COVID-19 Mohamad Ilyas Abas; Salahudin Pakaya; Syahrial Syahrial
Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Vol. 2 No. 3 (2022): Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bureau.v2i3.113

In essence, according to the fatwa and Islamic views that cigarettes are included in the haram category. Some views say that smoking is makruh and even permissible. But the strongest opinion is that smoking is forbidden in Islam, especially in the fatwa tarjih Muhammadiyah which strictly forbids smoking because smoking is an act that can harm oneself and others. In this study, the researcher wanted to analyze the study on the compliance of tarjih prohibition of smoking in Muhammadiyah environment to student organizations in Muhammadiyah. This research uses quantitative methods, the quantitative method was chosen because it is an approach whose specifications are systematic, planned and clearly structured from the beginning to the making of the research design. The purpose of this study was to obtain an analysis study of the compliance of Muhammadiyah members with Muhammadiyah tarjih on cigarettes. The results of the study will display statistics on the compliance of Muhammadiyah members as well as statistics on Muhammadiyah members who still smoke so that it is contrary to the tarjih and smoking laws in Islam, which are haram. The benefit of this study is that it can display data in clusters of smokers who are in the Muhammadiyah environment. The results of the study indicate that in fact, according to knowledge, everyone agrees that cigarettes are haram and adherence to tarjih is indeed quite high, but it is not accompanied by obedience to leave the smoking habit.

KONSTRUKSI ALGORITMA PEWARNAAN TITIK PELANGI PADA GRAF POHON Pranata, Widya Eka; Abas, Mohamad Ilyas; Ibrahim, Irawan; Lamusu, Rizal; Syahrial, Syahrial
Jurnal Ilmu Komputer (JUIK) Vol 5, No 1 (2025): February 2025
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v5i1.3839

This study constructs an algorithm for rainbow vertex coloring in tree graphs. A graph G is defined as a set pair G=(V,E), where V is the vertex set and E is the edge set. Rainbow dot coloring aims to assign a color to each vertex of a tree graph T, such that each path in the tree has vertices with unique colors. The rainbow dot coloring algorithm developed in this study is implemented in a programming language, and its performance is evaluated through simulations on various types of tree graphs. The results show that this algorithm can effectively color tree graphs with good optimality. This research contributes to graph coloring theory and its potential to be applied to computational problems involving tree graphs with complex structures.

Penerapan Metode Convolutional Neural Network pada Identifikasi Wajah Mahasiswa didalam Ruang Perkuliahan Rahman M. Abdullah; Mohamad Ilyas Abas; Syahrial Syahrial
Jurnal Ilmu Komputer, Teknologi Dan Informasi Vol 4 No 1 (2026): Januari 2026
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jurikti.v4i1.271

Manual student attendance systems still present several limitations, including the potential for data manipulation, human error, and low efficiency in large classroom environments. This study aims to implement the Convolutional Neural Network (CNN) method to simultaneously identify students’ faces within a classroom setting. The dataset consisted of 1,740 facial images collected from 58 students using a 2K Full HD webcam under varying capture angles and lighting conditions. The research stages included data collection, image preprocessing, data augmentation, CNN model training, and evaluation using a confusion matrix, accuracy, precision, recall, and F1-score metrics. The developed CNN model, named FACENET V5, was designed using TensorFlow with three convolutional blocks, batch normalization, max pooling, dropout, and a softmax classifier. Experiments were conducted using image sizes of 100×100, 200×200, 300×300, and 400×400 pixels with several dataset split scenarios. The results demonstrated that the 100×100 image size with a 90:10 data split achieved the best performance, obtaining a validation accuracy of 98.28% and a loss value of 0.1127. Furthermore, FACENET V5 was compared with ResNet50V2, MobileNetV2, and VGG16. Comparative results indicated that FACENET V5 provided the most optimal performance in simultaneous student face recognition. This study confirms that CNN can be effectively implemented as an automated face recognition-based attendance system in academic environments.

Effectiveness Analysis of DNS Filtering on Cyberslacking Control Firmansyah Pipii; Syahrial; Rizal Lamusu; Irawan Ibrahim
JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Vol. 5 No. 1 (2026): JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI)
Publisher : LPPM Universitas Dhyana Pura

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

The development of information technology in educational environments has increased internet accessibility to support learning activities, but it has also contributed to cyberslacking behavior, namely the use of the internet for non-academic activities during study hours. This study aims to analyze the effectiveness of MikroTik-based DNS Filtering in controlling access to non-productive websites within educational networks. The research employed a quantitative approach with a quasi-experimental design by comparing network conditions before and after the implementation of DNS Filtering. Additional testing was conducted under Virtual Private Network (VPN) and DNS over HTTPS (DoH) scenarios to identify system limitations. Data analysis was performed using the Confusion Matrix method with evaluation parameters including accuracy, precision, recall, F1-score, and specificity. The results indicate that DNS Filtering effectively blocks access to non-productive websites under normal network conditions with a high level of accuracy without disrupting access to educational resources. The system was also able to classify productive and non-productive websites appropriately based on the implemented filtering rules. However, the effectiveness of the system decreased when users utilized VPN and DoH as bypass methods, indicating the limitations of conventional DNS-based filtering approaches. This study concludes that MikroTik-based DNS Filtering is a lightweight, easy-to-implement, and sufficiently effective solution for controlling cyberslacking in educational environments, although it still requires integration with additional network security methods to improve resistance against bypass techniques.

IDENTIFIKASI KUALITAS DAN JENIS BUAH CABAI MENGGUNAKAN ALGORITMA DEEP LEARNING Tahir Supu; Syahrial Syahrial; Rizal Lamusu; Widya Eka Pranata
Jurnal Ilmu Komputer (JUIK) Vol 5, No 3 (2025): OCTOBER 2025
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v5i3.4593

Abstrak Penelitian ini memuat dua rumusan masalah (1) Bagaimana mengindentifikasi kualitas dan jenis buah cabai berdasarkan Algoritma Deep Learning? (2) Bagaimana meningkatkan Akurasi mengenali kualitas dan jenis buah cabai berdasarkan Algoritma Deep Learning? Tujuan penelitian ini adalah (1) Mengidentifikasi kualitas dan jenis buah cabai secara otomatis menggunakan Algoritma deep learning. (2) Meningkatkan sistem Akurasi mengenali kualitas dan jenis buah cabai dengan mengoptimalkan penerapan Algoritma deep learning. Deep Learning adalah arsitektur jaringan saraf berlapis untuk memproses dan menganalisis data dalam skala besar secara efisien guna menyelesaikan berbagai permasalahan kompleks. Deep Learning merupakan cabang dari Machine Learning yang algoritmanya dirancang mengadopsi arsitektur jaringan saraf biologi manusia, yang dikenal sebagai Artificial Neural Networks. Salah satu, arsitektur Deep Learning yang paling umum digunakan analisis dalam gambar adalah Convolutional Neural Network (CNN). Pada penelitian ini, sampel data yang diperoleh berjumlah 1500 data gambar yang dibagi 4 kelas , yaitu : Cabai keriting segar, Cabai keriting tidak segar, Cabai rawit segar dan Cabai rawit tidak segar. Setalah itu akan di bagi menjadi dua data yaitu train dan validasi Gambar grafik di atas menunjukkan hubungan antara rasio data latih-uji dengan model Akurasi pada ukuran citra 400x400 piksel. Terlihat bahwa model Akurasi cenderung meningkat seiring proporsi data latih, dengan puncak Akurasi terjadi pada 80:20, mencapai sekitar 98% 1. Model CNN CabaiNet yang dikembangkan dalam penelitian ini mampu mengklasifikasikan jenis dan kualitas buah cabai ke dalam empat kelas (cabai keriting segar, cabai keriting tidak segar, cabai rawit segar, dan cabai rawit tidak segar) dengan tingkat Akurasi tinggi, mencapai 99% pada terbaik. Hal ini menjawab rumusan masalah pertama terkait bagaimana identifikasi kualitas dan jenis buah cabai dengan Algoritma deep learning, yaitu dengan memanfaatkan arsitektur CNN khusus yang dirancang untuk mengekstraksi fitur visual dari citra buah cabai1. Model CNN CabaiNet yang dikembangkan dalam penelitian ini mampu mengklasifikasikan jenis dan kualitas buah cabai ke dalam empat kelas (cabai keriting segar, cabai keriting tidak segar, cabai rawit segar, dan cabai rawit tidak segar) dengan tingkat Akurasi tinggi, mencapai 99% pada konfigurasi terbaik. Hal ini menjawab rumusan masalah pertama terkait bagaimana identifikasi kualitas dan jenis buah cabai dengan Algoritma deep learning, yaitu dengan memanfaatkan arsitektur CNN khusus yang dirancang untuk mengekstraksi fitur visual dari citra buah cabai.

Penerapan Algoritma Naive Bayes Untuk Sistem Klasifikasi Status Gizi Bayi Balita Mohamad Ilyas Abas; Rizal Lamusu; Widya Eka Pranata; Syahrial Syahrial; Irawan Ibrahim; Wahyudin Hasyim; Verliana Kiayi
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.508

Infants and toddlers are in a critical period of rapid growth and development, often referred to as the "golden age." During this stage, regular nutritional assessments are essential to monitor health status and detect potential nutritional problems early. This study aims to classify the nutritional status of infants and toddlers using the Naïve Bayes algorithm, a probabilistic classification method based on Bayes' theorem with a strong assumption of attribute independence. The main attributes used in the classification system include age, weight, and height. The dataset consists of 700 records of infants and toddlers collected from previous observations. The results show that the Naïve Bayes algorithm can be effectively implemented for nutritional status classification, achieving a system accuracy of 88.14%. This indicates that the method performs well and has the potential to be utilized in decision support systems for child health monitoring.

Tourismpreneurship: Community Empowerment to Strengthen Digital-Based Tourism Economic Synergy in the Tomini Bay Area, Botubarani, Bone Bolango Regency Haris Danial; Agus Hakri Bokingo; Syahrial Syahrial
International Journal Of Community Service Vol. 3 No. 3 (2023): August 2023 (Indonesia - Malaysia - Philippines - South Korea )
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v3i3.216

The coastal area is currently a trending spot for tourists who want to enjoy a vacation. Even now travelers are hunting for beach tourism as a diving spot for holidays, including the coast of the Tomini Bay area. Most of the Tomini Bay area is a tourist destination for local and international tourists. However, unfortunately the charm of beach tourism in the Tomini Bay area has not been broadcast nationally or internationally, either in the form of image documentation or cinematic infographics. Therefore, the purpose of this community service is to empower the community in edutourism through English language training and tourism promotion, the beach care movement, and the accessibility of tourism promotion through digital-based and bilingual cinematic infographics (virtual tour). This program is used as an initial step to form a tourism awareness group (POKDARWIS) for the Botubarani community as a form of continuing the program to strengthen the community's economy so that it is not swallowed up by the masses. This program will later form self-help and self-help groups that grow from, by and for the community as a destination for village tourism development, especially the Tomini Bay area. It is hoped that this program will be the first step to deliver Botubarani village as a tourist destination not only on a national scale, but also on an international scale.

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