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All Journal Bulletin of Electrical Engineering and Informatics JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ekobistek Jurnal Teknologi Journal of Computer Networks, Architecture and High Performance Computing Journal of Computer Scine and Information Technology Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Teknologi Journal Medical Informatics Technology JAWI : Journal of Ahkam Wa Iqtishad Jurnal Akademika: Kajian Ilmu-Ilmu Sosial, Humaniora dan Agama Persepsi: Jurnal Riset Mahasiswa Psikologi
Fajrul Islami
Universitas Putra Indonesia YPTK Padang
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Glaucoma detection in retinal fundus images using residual network architecture Islami, Fajrul; Sumijan, Sumijan; Defit, Sarjon
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7621

Abstract

Glaucoma is a significant eye disease that can lead to irreversible vision loss if not detected and treated early. This research focuses on developing an automated glaucoma detection system using a combination of a convolutional neural network (CNN) with the residual network 18 (ResNet18) architecture, locality sensitive hashing (LSH), and Hamming distance calculation. The CNN model is trained to extract meaningful features from retinal images, while LSH enables efficient indexing and retrieval of similar images. Hamming distance calculations are utilized to measure the dissimilarity between binary codes obtained from LSH. A dataset of 506 retinal images, consisting of 117 glaucoma images, 19 glaucoma suspect images, and 370 healthy images. The proposed glaucoma detection system achieved an average accuracy of 99.96%, sensitivity of 99.97%, and specificity of 99.94% during training, and 82.37% accuracy, 86.78% sensitivity, and 73.55% specificity during testing. Comparative analysis demonstrated its superiority over traditional methods. Further research should focus on larger datasets and explore multi-class classification for different glaucoma stages. The proposed system has potential for early glaucoma detection, facilitating timely intervention, and preventing vision loss.
Customer Relationship Management Increasing Curtain Sales with Importance Performance Analysis and Customer Satisfaction Index Methods Andrian, Reski; Islami, Fajrul; Arlis, Syafri
Journal of Computer Scine and Information Technology Volume 11 Issue 1 (2025): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v11i1.132

Abstract

The increasingly rapid advancement of technology has an indirect impact on humans. Computers are one of the results of technological advances that can help humans improve the quality and quantity of work. By using computers as one of the tools in presenting data information, especially data processing supported by PHP and MySQL applications, it can support the speed of data processing as efficiently as possible. This study uses the Importance Performance Analysis (IPA) Method and the Customer Satisfaction Index (CSI) Method. The IPA method is a method used to map the relationship between interests and performance of each attribute to meet consumer satisfaction by providing a Likert scale. While the CSI method is a method used to determine the level of consumer satisfaction as a whole by looking at the level of satisfaction of product and service attributes. Based on the combination of the IPA and CSI methods carried out directly in the field using interview techniques, as well as by studying books related to the problems discussed, it is expected that the new system that will be implemented can improve the quality of information so that it can be useful for the relevant agencies. The results of this study are based on the consumer satisfaction index of 82.24% , so that by applying these two methods, it can find consumer satisfaction in increasing curtain sales.
Analysis of the Transformation of Islamic Family Law in the Arab Republic of Egypt Damsir, Fajrul Islami; Akbarizan
JAWI : Journal of Ahkam Wa Iqtishad Vol. 2 No. 4 (2024): JAWI - DESEMBER
Publisher : MUI Kota Pekanbaru

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Abstract

Among the Muslim countries that codified Islamic family law in the early phases was Egypt. Egypt is the third Muslim country after Turkey and Lebanon to codify Islamic family law. As a country that was once colonized by Europeans and a country that has a beacon of Islamic scholarship called Al-Azhar, studying the reform of Islamic family law in Egypt is an interesting matter. This research is a literature study, and uses a descriptive-analytic approach that originates from books on Islamic family law reform in Muslim countries and Egyptian family law laws related to marriage and inheritance. From the above study, at least several conclusions can be drawn: first, the renewal of Egyptian family law began with the issuance of two Egyptian family laws, namely Law no. 25 of 1920 and Law no. 20 of 1929. The law was then updated in 1979, and updated again in the form of Civil Law no. 100 of 1985. Second, among the reforms in Egyptian family law are reforms in the age limit for marriage, registration of marriages, divorce before the court, polygamy, and obligatory wills. Third, the renewal models used are takhayyur, siyasah syar'iyyah, and text reinterpretation.
Hubungan antara Motivasi Belajar dan Dukungan Sosial Teman Sebaya dengan Student Engagement pada Siswa Islami, Fajrul; Shofiah, Vivik
Persepsi: Jurnal Riset Mahasiswa Psikologi Vol. 1 No. 1 (2022): Persepsi: Jurnal Riset Mahasiswa Psikologi
Publisher : Fakultas Psikologi UIN Suska Riau

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Abstract

Student engagement merupakan salah satu faktor penting untuk meraih kesuksesan pada siswa.Ketika siswa memiliki student engagement siswa akan cenderung terlibat secara perilaku, emosi dankognisi didalam proses pembelajaran, sehingga ini akan berdampak terhadap prestasi siswa.Penelitian ini bertujuan untuk mengkaji secara ilmiah hubungan motivasi belajar dan dukungan sosialteman sebaya dengan student engagement pada siswa MA Darussakinah Batu Bersurat. Sampelpenelitian adalah siswa MA Darussakinah Batu Bersurat dengan jumlah sampel 124 Siswa. Datapenelitian ini diperoleh dengan menggunakan skala motivasi belajar, dukungan sosial teman sebayadan student engagement. Data dianalisis dengan menggunakan analisis regresi berganda. Hasilpenelitian menunjukkan bahwa terdapat hubungan yang signifikan antara motivasi belajar dandukungan sosial teman sebaya dengan student engagement dengan nilai R=0,693 dan nilai sig=0,000(0,000 < p 0.05). Hal ini berarti hipotesis yang diajukan oleh peneliti diterima yaitu terdapat hubunganmotivasi belajar dan dukungan sosial teman sebaya dengan student engagement pada siswa MADarussakinah Batu Bersurat. Selain itu, dengan melihat nilai Adjust R Square maka sumbangan efektifmotivasi belajar dan dukungan sosial teman sebaya dengan student engagement sebesar 68.8%.Penelitian ini mengungkapkan bahwa motivasi belajar dan dukungan sosial teman sebaya merupakansalah satu faktor yang mempengaruhi student engagement siswa. Artinya dengan meningkatkanmotivasi belajar dan dukungan sosial teman sebaya pada siswa maka hal ini dapat pula meningkatkanstudent engagement.
Customized Convolutional Neural Network for Glaucoma Detection in Retinal Fundus Images Fajrul Islami; Sumijan; Sarjon Defit
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.7614

Abstract

Glaucoma is one of the leading causes of permanent blindness and remains a current challenge in the field of ophthalmology. This research aims to present a comprehensive investigation into the development and evaluation of new technology for glaucoma detection in retinal fundus images. The development and evaluation are presented on a customized architecture, using the Convolutional Neural Network (CNN) method. The proposed CNN architecture is designed to address the complex characteristics of glaucoma changes in the identification process. The research dataset consists of 506 retinal images categorized into 117 glaucoma images, 19 suspected glaucoma images, and 370 healthy images. Through our in-depth exploration, we conducted a careful analysis to uncover patterns and fundamental trends related to glaucoma-related features. During the training phase, the proposed CNN achieved outstanding average accuracy, sensitivity, and specificity values of 92.88%, 94.66%, and 89.31%, respectively. In the unseen test dataset, the model demonstrated competitive performance with an accuracy of 80.87%, sensitivity of 85.65%, and specificity of 71.26%. These findings emphasize the potential of the model as a reliable tool for glaucoma detection. The results indicate that the proposed method utilizing a customized CNN architecture is designed for glaucoma detection in retinal fundus images. The presented output results also hold promise for clinical relevance and can be considered an improvement in the care of retinal fundus patients.
Rancang Bangun Customer Relationship Management (CRM) Sebagai Strategi Marketing Pada CV. Duta Desa Baru Tour & Travel Berbasis Web Anggi Muhammad Fajri; Silfia Andini; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1103

Abstract

Perkembangan teknologi informasi yang pesat mendorong perusahaan jasa untuk memanfaatkan sistem informasi guna meningkatkan kualitas pelayanan dan efektivitas strategi pemasaran. CV. Duta Desa Baru Tour & Travel masih menghadapi beberapa permasalahan, seperti proses pemesanan tiket yang masih dilakukan secara manual, pengelolaan data pelanggan yang belum terintegrasi dengan baik, serta hubungan perusahaan dengan pelanggan yang belum dikelola secara optimal. Kondisi tersebut menyebabkan pelayanan menjadi kurang efisien, potensi kesalahan pencatatan data meningkat, serta menyulitkan perusahaan dalam melakukan evaluasi dan pengambilan keputusan pemasaran. Penelitian ini bertujuan untuk merancang dan membangun sistem Customer Relationship Management (CRM) berbasis web sebagai strategi marketing untuk meningkatkan kualitas pelayanan dan memperkuat hubungan dengan pelanggan. Metode yang digunakan meliputi analisis sistem yang sedang berjalan, perancangan sistem menggunakan Unified Modeling Language (UML), serta implementasi sistem berbasis web dengan database terintegrasi. Sistem CRM yang dibangun mampu mengelola data pelanggan, pemesanan tiket, interaksi pelanggan, serta menghasilkan laporan secara otomatis dan akurat. Hasil penelitian menunjukkan bahwa sistem CRM berbasis web dapat meningkatkan efisiensi operasional, mempercepat proses pelayanan, meningkatkan akurasi pengelolaan data, serta membantu perusahaan dalam memahami kebutuhan pelanggan sehingga strategi pemasaran dapat dilakukan dengan lebih tepat sasaran.
Implementasi Computer Vision Dalam Deteksi Dan Klasifikasi Sampah Otomatis Pada Sistem Pengolahan Limbah Perkotaan Akbar Lusman; Retno Devita; Ondra Eka Putra; Eva Rianti; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.956

Abstract

Waste is a very serious environmental problem commonly faced by Indonesians. According to data from the National Waste Management Information System (SIPSN), Indonesia's waste volume reached 20.02 million tons in 2022. In Indonesia, the amount of waste generated reached 65 million tons per day in 2016 and increased to 66.5 million tons in 2018. The amount of waste in Indonesia continues to increase annually. In large cities, waste management is an increasingly pressing challenge, given the negative impacts caused by improper management, such as waste accumulation in landfills (TPA), water and air pollution, and public health issues. This study aims to design and implement an automatic waste classification system based on Computer Vision technologies as a solution for urban waste management. The system utilizes an Arduino Mega 2560, camera, ultrasonic sensor, servo motor, and conveyor to detect and classify five main types of waste: plastic, paper, glass, metal, and organic materials in real time. The camera captures images of waste, which are then analyzed using a Computer Vision model, while sensors and actuators control the flow and physical sorting process. This research seeks to improve waste processing efficiency by reducing human involvement in hazardous tasks and to promote the application of intelligent technologies in supporting sustainable recycling systems and reducing the burden on final disposal sites (landfills). The system created can detect and classify waste types well.
Implementasi Computer Vision Dalam Deteksi Dan Klasifikasi Sampah Otomatis Pada Sistem Pengolahan Limbah Perkotaan Akbar Lusman; Retno Devita; Ondra Eka Putra; Eva Rianti; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.956

Abstract

Waste is a very serious environmental problem commonly faced by Indonesians. According to data from the National Waste Management Information System (SIPSN), Indonesia's waste volume reached 20.02 million tons in 2022. In Indonesia, the amount of waste generated reached 65 million tons per day in 2016 and increased to 66.5 million tons in 2018. The amount of waste in Indonesia continues to increase annually. In large cities, waste management is an increasingly pressing challenge, given the negative impacts caused by improper management, such as waste accumulation in landfills (TPA), water and air pollution, and public health issues. This study aims to design and implement an automatic waste classification system based on Computer Vision technologies as a solution for urban waste management. The system utilizes an Arduino Mega 2560, camera, ultrasonic sensor, servo motor, and conveyor to detect and classify five main types of waste: plastic, paper, glass, metal, and organic materials in real time. The camera captures images of waste, which are then analyzed using a Computer Vision model, while sensors and actuators control the flow and physical sorting process. This research seeks to improve waste processing efficiency by reducing human involvement in hazardous tasks and to promote the application of intelligent technologies in supporting sustainable recycling systems and reducing the burden on final disposal sites (landfills). The system created can detect and classify waste types well.
Rancang Bangun Customer Relationship Management (CRM) Sebagai Strategi Marketing Pada CV. Duta Desa Baru Tour & Travel Berbasis Web Anggi Muhammad Fajri; Silfia Andini; Fajrul Islami
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1103

Abstract

Perkembangan teknologi informasi yang pesat mendorong perusahaan jasa untuk memanfaatkan sistem informasi guna meningkatkan kualitas pelayanan dan efektivitas strategi pemasaran. CV. Duta Desa Baru Tour & Travel masih menghadapi beberapa permasalahan, seperti proses pemesanan tiket yang masih dilakukan secara manual, pengelolaan data pelanggan yang belum terintegrasi dengan baik, serta hubungan perusahaan dengan pelanggan yang belum dikelola secara optimal. Kondisi tersebut menyebabkan pelayanan menjadi kurang efisien, potensi kesalahan pencatatan data meningkat, serta menyulitkan perusahaan dalam melakukan evaluasi dan pengambilan keputusan pemasaran. Penelitian ini bertujuan untuk merancang dan membangun sistem Customer Relationship Management (CRM) berbasis web sebagai strategi marketing untuk meningkatkan kualitas pelayanan dan memperkuat hubungan dengan pelanggan. Metode yang digunakan meliputi analisis sistem yang sedang berjalan, perancangan sistem menggunakan Unified Modeling Language (UML), serta implementasi sistem berbasis web dengan database terintegrasi. Sistem CRM yang dibangun mampu mengelola data pelanggan, pemesanan tiket, interaksi pelanggan, serta menghasilkan laporan secara otomatis dan akurat. Hasil penelitian menunjukkan bahwa sistem CRM berbasis web dapat meningkatkan efisiensi operasional, mempercepat proses pelayanan, meningkatkan akurasi pengelolaan data, serta membantu perusahaan dalam memahami kebutuhan pelanggan sehingga strategi pemasaran dapat dilakukan dengan lebih tepat sasaran.
Co-Authors Adrul Hutama Agung Ramadhanu Akbar Lusman Akbarizan Andre Gunawan Andrian, Reski Anggi Muhammad Fajri Arsyah, Ulya Ilhami Dodi Guswandi Emil Naf'an Eva Rianti Gushelmi Hadi Syahputra Irfan Rizki Nur Mutiana Pratiwi Ondra Eka Putra Retno Devita Riskian Tahmid Sarjon Defit Silfia Andini Sumijan Sumijan Sumijan Syafri Arlis Tahmid, Riskian Ulya Ilhami Arsyah Vivik Shofiah Raudatussalamah