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All Journal Mulia International Journal in Science and Technical Journal of Computer System and Informatics (JoSYC) Jurnal Tika KLIK: Kajian Ilmiah Informatika dan Komputer Multica Science and Technology AJAD : Jurnal Pengabdian kepada Masyarakat Sisfo: Jurnal Ilmiah Sistem Informasi Data Sciences Indonesia (DSI) Aceh Journal of Community Engagement (AJCE) Lentera Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Riyadhul Fajri
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Almuslim, Bireuen - Aceh
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Physics Social Sciences

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Jurnal SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LOKASI TAMBAK BERDASARKAN JENIS IKAN BANDENG DENGAN MENGGUNAKAN METODE SMART Riyadhul Fajri
Lentera : Jurnal Ilmiah Sains, Teknologi, Ekonomi, Sosial, dan Budaya Vol 4 No 4 (2020): Lentera, Desember 2020
Publisher : LPPM Universitas Almuslim

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

Abstract

Sistem Pendukung Keputusan merupakan bagian dari sistem Informasi berbasis komputer yang digunakan untuk mendukung pengambilan keputusan dalam suatu instansi atau perusahaan, juga dikatakan sebagai sistem komputer yang mengolah data menjadi informasi untuk mengambil keputusan dari masalah semi-terstruktur yang spesifik. Penentuan lokasi tambak merupakan salah satu kegiatan yang memerlukan kejelian dalam penilaian dan juga harus selektif berdasarkan penilaian yang ada dalam penentuan tambakdengan itu diharapkan dapat diperoleh hasil yang memuaskan. Oleh karena itu, kita memerlukan sebuah sistem pendukung keputusan untuk membantu pembudidaya ikan dalam pemilihan lokasi tambak, khususnya menentukan lokasi tambak yang pantas untuk membudidayakan ikan bandeng. Proses pengambilan keputusan dalam penentuan lokasi tambak ikan menggunakan metode Smart (Simple Multi Attribute Rating Tecnique) guna memberikan keputusan yang lebih tepat yang akan diterapkan kedalam suatu aplikasi pengambilan keputusan penentuan lokasi tambak ikan bandeng. Dengan adanya sistem tersebut diharapkan ke depan dapat membantu pihak yang membudidayakan tambak ikan bandeng mendapatkan hasil yang diharapkan lebih efektif dan efesien.
APLIKASI MULTIMEDIA ENSIKLOPEDIA TELINGA BERBASIS ANDROID Riyadhul Fajri; Iqbal Iqbal
Lentera : Jurnal Ilmiah Sains, Teknologi, Ekonomi, Sosial, dan Budaya Vol 6 No 2 (2022): LENTERA, MEI 2022
Publisher : LPPM Universitas Almuslim

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Abstract

Secara umum telingan manusia memiliki tiga bagian, yaitu bagian luar, bagian tengan dan bagian dalam, untuk mengenal anatomi telinga manusia kita dapat melihatnya di buku-buku pelajaran ataupun dalam bentuk buku ensiklopedia, yaitu buku atau serangkaian buku yang menghimpun keterangan atau uraian tentang berbagai hal dalam bidang seni dan ilmu pengetahuan, yang disusun menurut abjad atau menurut lingkungan ilmu. Seiring perkembangan teknologi, ensiklopedia juga memiliki perubahan dari buku manual kedalam bentuk ensiklopedia digital, yang berbeda jauh dari ensiklopedian konvensional, secara umum bertujuan membuat sebuah aplikasi ensiklopedia telinga, guna dapat memberikan kemudahan bagi pengguna dalam mengakses informasi bagian-bagian telinga dengan mengintegrasikan dalam aplikasi untuk perangkat smartphone berbasis android. Pembuatan aplikasi menggunakan aplikasi Android Studio, sebagai editor pengembangan aplikasi.
Pengembangan Real-Time Object Detection System pada Perangkat Single-Board Computer Riyadhul Fajri; Sriwinar; Firzha Fitria
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 2 (2023): Oktober 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i2.1224

Abstract

Technological developments in the field of artificial intelligence have opened the door to increasingly sophisticated applications in visual analysis and object detection. This research aims to implement a real-time object detection system using a Raspberry Pi device, a low-power Single Board Computer (SBC) based device with limited hardware resources. We used TensorFlow Lite, a lightweight version of the TensorFlow deep learning framework, to run object detection models on a Raspberry Pi. Our system is powered by a USB web cam as an image source. The research results show that the Raspberry Pi is able to carry out real-time object detection well, with adequate resource usage efficiency. The system built is able to perform better classification, which shows a better detection speed from using TensorFlow Lite, compared to using TensorFlow. Although there are constraints in terms of detection speed depending on the complexity of the model and the number of objects, these results open up great opportunities for the use of embedded devices in various applications such as security monitoring and image analysis. This study also emphasizes the importance of model optimization to achieve the best performance on low-power devices
IMPLEMENTASI PERAMALAN DOUBLE EXPONENTIAL SMOOTHING PADA KASUS KEKERASAN ANAK DI PUSAT PELAYANAN TERPADU PEMBERDAYAAN PEREMPUAN DAN ANAK Riyadhul Fajri; Teuku Muhammad Johan
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 4 No 2 (2017): Jurnal Ecotipe, Oktober 2017
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v4i2.6

Abstract

The high number of cases of violence in children today is increasing. Among the cases of child abuse are physical torture, sexual harassment and neglect. Every year violence in children increases with different patterns of behavior. Various efforts were made by the government to campaign for child protection legislation. To forecast an increase or decrease in child abuse patterns over the next 5 years, an inhalamanation-based forecasting system is needed. This inhalamanation system is expected to predict how many cases of child abuse that occur from the time in the future. Double expoential smoothing method is the most widely used method to determine the equation of second smoothing data trend through smoothing process. This forecasting system captures the pattern of past data then used to project future data. The purpose of this system is to provide an idea of ??the level of violence in children. The variables used in this system are the types of cases of domestic violence / Traumatic cases of Persecution, Kidnapping cases, Rape cases and Sodomy case types. The case of violence predicted for four years previous year is in 2012, 2013, 2014, 2015. Then processed using the method of double expnential smoothing by looking for the equation of the trend first and followed by looking for second smoothing and forecasting results of the type of violence in the next year that is 2016. The special target of this forecasting system is to project a pattern of child abuse that is still frequent and predict patterns of violence in children for the next few years. This is done to prepare everything needed to handle cases of violence in the future. Long-term goal to predict the level of violence in children for the next 10 years. This is expected to anticipate the acts of violence that occur in children by looking at previous forecasting data.
Implemetasi Aplikasi Toko Online Dengan Optimasi Codeigniter Dan Jquery Mobile Pada Erik Phone Irma Ayuni; Iqbal Ibal; Riyadhul Fajri
Jurnal Tika Vol 9 No 1 (2024): 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.v9i1.2607

Abstract

The Smartphone Sales Information System is a management information system that produces variousinformation that can be useful to support sales activities at Erik Phone. The manifestation of the development ofthis Smartphone Sales Information System is the creation of a website that is able to represent the informationsystem designed as a whole. The resulting smartphone sales website is able to manage and display informationon various types of smartphones on offer along with price lists, smartphone brands, colors, purchase methods,transactions and sales reports. In analyzing and designing this new system, the author used the systemdevelopment method. Meanwhile, to carry out the analysis process, the author uses context diagrams, DFD andERD. This system was created using the PHP, Jquery and Mysql programming languages. From this analysisand design, a new web-based smartphone sales information system was produced which can help Erik Phonecarry out the smartphone promotion and sales process effectively and efficiently
Implementation of Ward AHC for Material Clustering Based on Mechanical Parameters Yusuf, Edy; Bakhtiar; Syukriah; Burhanuddin; Riyadhul Fajri
Multica Science and Technology Vol 4 No 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.977

Abstract

This study aims to implement the Ward Agglomerative Hierarchical Clustering (Ward AHC) algorithm to classify materials based on mechanical parameters, including tensile strength (Su), yield strength (Sy), elastic modulus (E), shear modulus (G), Poisson's ratio (μ), and density (ρ). The clustering results reveal that the data is divided into three main groups with the following distributions: Cluster 1 (321 data points), Cluster 2 (403 data points), and Cluster 3 (828 data points). Each cluster exhibits unique characteristics: Cluster 1 is dominated by materials with low Su and Sy values, moderate E and G values, and light ρ. Cluster 2 features materials with very high E values, while Su, Sy, and G values vary. Cluster 3 is characterized by moderate Su values, low Sy values, high E and G values, and light ρ. An evaluation using the Silhouette Score yielded a value of 0.492, indicating that the clustering quality is reasonably good, though there is evidence that some data points may lie near the boundaries between clusters.
Implementasi Alat Monitoring Kualitas Garam Berbasis Ramah Lingkungan pada Petani Tambak Ujung Pusong Jaya, Gampong Lancang Barat, Kecamatan Dewantara, Kabupaten Aceh Utara Ula, Mutammimul; Salamah; Fajri , Riyadhul; Fadillah, Tengku Farhan; Juandana, Rio Adian
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i3.393

Abstract

The use of increasingly competitive digital media for MSMEs and monitoring seawater quality measurements in viewing water quality at each screw table can be an innovative solution to improve salt quality supervision. However, so far, measuring seawater quality using a baumemeter is still less effective in viewing water quality at each screw table and seeing the water level in each salt quality pool can be done in stages. The purpose of the Community Service is to find out how to apply a salt content measurement tool to environmentally friendly crystallization for Ujung Pusong Jaya pond farmers and can be done periodically at each salt screw table. Stages of the Location Survey method, permit management, and discussion of PKM Implementation, Determining the time and place of service, preparation of materials, modules, socialization, training in water quality monitoring tools, implementation of service. The results of this tool service are to facilitate and assist members of the Beumakmu pond farmer group in monitoring and monitoring levels periodically without dependence. Furthermore, the speed of information is a preventive effort in taking steps to minimize the risk of greater losses in viewing the quality of pond water at each screw table.
The Determination of Availability Path Planning in Natural Tourist Attractions using Dijkstra's Algorithm and Ant Colony Optimization Gustami, Heri; Rizal, Muhammad; Fajri, Riyadhul
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6336

Abstract

The research on determining Availability Path Planning for natural tourist attractions using Dijkstra and Ant Colony algorithms aims to identify the most efficient routes in terms of time, distance, and environmental conditions. This is achieved by combining the Dijkstra and Ant Colony Optimization algorithms, each with its respective advantages and disadvantages, to create a system for finding the shortest, fastest, and safest paths to natural tourist destinations in Bireuen Regency. The methodology employed in this study is the waterfall model, which encompasses stages from analysis to application development, integrating both Dijkstra and Ant Colony Optimization algorithms. The research findings reveal that the shortest route to the Ceuraceu Waterfall destination can be accessed via the Samagadeng Village road in Pandrah District, while the longest route can be accessed through the city center of Bireuen Regency. Furthermore, for the Krueng Simpo River Bathing Tourism, the shortest route is via the Gayo Bireuen road, while the longest route is through the KKA Aceh Utara road. Lastly, the shortest route to the Kuala Jangka Beach tourist attraction is via the Jangka road from the Matangglumpang Dua area, while the longest route can be accessed through the Kuala Bireuen road.
Analisis Model Dalam Melihat Kelayakan Bangunan Rumah Dengan Model Keputusan Weight Product Burhanuddin, Burhanuddin; Saptari, Mochamad Ari; Fajri, Riyadhul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 8 No. 2 (2024): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2024
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v8i2.20666

Abstract

Analisis model keputusan dalam melihat kelayakan bangunan rumah merupakan aspek penting dalam pengembangan perumahan yang berkelanjutan. Permasalahan yang dihadapi selama ini pembangunan perumahan khususnya rumah subsidi berperan signifikan dalam meningkatkan kualitas perumahan. analisis model keputusan dalam kelayakan bangunan rumah tidak hanya melibatkan aspek teknis dan finansial, tetapi juga mempertimbangkan faktor sosial dan etis yang dapat mempengaruhi hasil akhir dari proyek perumahan. analisis model keputusan dalam melihat kelayakan bangunan rumah sangat penting dalam konteks perumahan yang berkelanjutan dan inklusif. Penelitian ini dapat membantu dalam mengevaluasi alternatif perumahan dengan mempertimbangkan data pemangku kepentingan dan menilai efektivitas serta kelayakan model yang diusulkan. Dengan meningkatnya kebutuhan akan perumahan yang terjangkau dan ramah lingkungan, penting untuk mengembangkan sistem keputusan yang dapat membantu para pemangku kepentingan dalam mengevaluasi berbagai alternatif perumahan. Penelitian ini diharapkan dapat memberikan rekomendasi yang lebih mendalam bagi para pengambil keputusan dalam merancang dan melaksanakan proyek perumahan yang berkelanjutan dan sesuai dengan kebutuhan masyarakat.
Klasifikasi Tingkat Kematangan Buah Strawberry Menggunakan Algoritma Logistic Regression Zulkifli; Fajri, Riyadhul
Data Sciences Indonesia (DSI) Vol. 4 No. 2 (2024): Article Research Volume 4 Issue 2, December 2024
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v4i2.4850

Abstract

Penelitian ini bertujuan untuk mengembangkan model klasifikasi tingkat kematangan buah strawberry menggunakan algoritma Logistic Regression dengan regularisasi L2 Ridge. Dataset yang digunakan berupa gambar strawberry yang terbagi dalam dua kategori: matang dan belum matang. Proses klasifikasi dilakukan melalui platform Orange Data Mining, yang mempermudah pengolahan data visual dengan fitur image embedding untuk mengonversi gambar menjadi vektor numerik. Hasil evaluasi menunjukkan bahwa model mencapai akurasi sebesar 97,7%, dengan AUC sebesar 0,995, serta nilai precision, recall, dan F1-score masing-masing sebesar 0,977. Confusion matrix menunjukkan bahwa model hanya membuat 12 kesalahan prediksi dari 521 gambar, dengan 7 gambar belum matang diprediksi sebagai matang, dan 5 gambar matang diprediksi sebagai belum matang. Temuan ini menunjukkan bahwa Logistic Regression sangat efektif dalam tugas klasifikasi biner, terutama dalam mendeteksi kematangan buah strawberry. Meskipun terdapat beberapa kesalahan prediksi, hasil keseluruhan memperlihatkan potensi besar penerapan machine learning dalam otomatisasi proses deteksi kematangan buah. Penelitian ini menyarankan penggunaan dataset yang lebih luas dan eksplorasi model yang lebih kompleks untuk meningkatkan performa klasifikasi
Co-Authors Aflizar Aflizar Amanda, Putri Andre Maireza Asmawi Bakhtiar Burhanuddin Burhanuddin Burhanuddin Dedy Armiady Erfan Syah, Muhammad Fadillah, Tengku Farhan Farizal Fathia Firzha Fitria Hannan Asrawi Heri Gustami Intan Arianti Iqbal Iqbal Iqbal Ibal Irma Ayuni izky, Alfaroel Juandana, Rio Adian M. Saleh Mira Nataturi Muhammad Rizal Munar Musrizal, Musrizal Mutammimul Ula Raudhatul Jannah Rekha Audina REZA PAHLEVI Richki Hardi Salamah Saptari, Mochamad Ari Sri Winar Sriwinar Sriwinar Sriwinar, Sriwinar Sulaiman, Munawar Syukriah Teuku Muhammad Johan Ulfa M. , Mahdalena Vianaza, Vianaza Yella Cinni Ujung Yusuf, Edy Zulkifli Zulkifli Zulkifli Zulkifli Zulkifli