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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Building of Informatics, Technology and Science Technologia: Jurnal Ilmiah Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) SmartComp
Ridho, Ihda Innar
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Analisis Sistem Informasi dan Pelaporan Kecelakaan Lalu Lintas Berbasis Mobile GIS dan GPS Raharjo, Mokhamad Ramdhani; Ridho, Ihda Innar; Alamsyah, Nur
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.181 KB)

Abstract

The increasing number of motorized vehicle ownership in various regions in Indonesia makes the congestion level quite high. In addition to the high level of congestion, new problems, namely, the level of motor vehicle accidents also increased. These problems must be resolved sooner or later, aside from the infrastructure facilities for road users, their quality must be improved and the level of public awareness of the traffic regulations requires a system that can help road users to obtain information and report on traffic accidents and systems that can monitor and analyze traffic accidents. from the authorities for follow-up. This system utilizes the technology of smartphones in the form of GPS that are already in it and the world map provider service from Google company, Google Maps, to detect the location of road users when reporting traffic accidents. This system also helps provide information on locations that are vulnerable to traffic accidents. The reporting data is processed from the central system to be processed, analyzed, validated and inputted based on the chronology of accident information provided with other information in accordance with the classification of accident data to serve as the latest accident data information and can be accessed again by other road users from the Smartphone system as a source of information new so that it helps road users to be more careful in driving and reduce the occurrence of traffic accidents in the future.
Optimasi Fungsi Pembelajaran Jaringan Saraf Tiruan dalam Meningkatkan Akurasi pada Prediksi Ekspor Kopi Menurut Negara Tujuan Utama Ridho, Ihda Innar; Ariana, Anak Agung Gede Bagus; Windarto, Agus Perdana
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3240

Abstract

In the learning process carried out by Backpropagation the learning function is important in finding optimal results. This study aims to optimize the learning function of artificial neural networks in increasing the accuracy of coffee export predictions according to the main destination countries as research objects. This study applies the learning function to weights in Matlab, namely Gradient Descent with Adaptive Learning Rate (traingda), Gradient Descent with Momentum (traingdm), and Gradient Descent with Momentum and Adaptive Learning Rate (trainingdx) using several hidden layers, namely 15,30 and 45. Based on a series of trials conducted, the results of the study show that by implementing the Gradient Descent learning function with an Adaptive Learning Rate (trainingda) with a hidden layer of 30 it is capable of training neural networks with a better level of optimization, performing 143 iterations which produces a truth accuracy of 83%. When compared with the use of other learning functions that only last with an accuracy of no more than 78%. In general, it can be concluded that the optimization of the Gradient Descent learning function with Adaptive Learning Rate (trainda) can be applied to predict coffee exports according to the main destination countries, because the iterative process carried out to achieve convergence in increasing accuracy performs well
Penerapan Artificial Neural Network dengan Metode Backpropagation Dalam Memprediksi Harga Saham (Kasus: PT. Bank BCA, Tbk) Ridho, Ihda Innar; Ramadhani, Cerah Fitri; Windarto, Agus Perdana
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i1.612

Abstract

The Indonesia Stock Exchange (IDX) is a marketplace where individuals and investors can purchase or invest their capital in stocks for potential profits. There are currently 800 listed companies on the IDX, and one of them is PT Bank BCA Tbk, the largest private bank in Indonesia with a capital of Rp 42.93 trillion. Stocks serve as securities that demonstrate an investor's ownership in a company. In order to predict the future stock prices of companies, especially PT Bank BCA, and to increase the chances of profit for investors, an analysis is necessary. The purpose of this study is to create a forecast model using the Artificial Neural Network (ANN) method to predict the stock price of Bank BCA. Historical stock price data from Yahoo Finance (finance.yahoo.com) from 2016 to 2022 was used as the dataset. The goal of this research is to examine the effectiveness of the Backpropagation method in predicting Bank BCA's stock price. This research provides valuable information and considerations for investors when deciding whether to buy, hold, or sell their stocks. The accuracy rate of this research is 91.66666667%, with a testing MSE of 0.0010000650, and a total of 7695 epochs.
Sistem Manajemen Layanan Email Institusi Berbasis Google Menggunakan Telegram Bot Maulani, Jauhari; Ridho, Ihda Innar
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 4 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i4.7619

Abstract

Dalam era digitalisasi ini, institusi-institusi, termasuk lembaga pendidikan, semakin bergantung pada teknologi untuk mendukung operasional informasi sehari-hari. Salah satu aspek penting dalam menjaga komunikasi internal adalah layanan email. Email menjadi sarana utama untuk pertukaran informasi, koordinasi, dan kolaborasi antar anggota institusi. Sementara itu, dengan perkembangan teknologi komunikasi, Telegram menjadi salah satu aplikasi yang populer untuk berkomunikasi secara instan. Menggabungkan keunggulan layanan email dari Google Workspace dan kemudahan Telegram, institusi dapat mengimplementasikan sistem manajemen layanan email institusi berbasis google menggunakan Telegram Bot. Sistem layanan memungkinkan pengguna untuk mengelola dan menghubungkan institusi email dengan lebih efisien melalui media chat Telegram mudah diakses. Pengguna dapat mengelola email institusi dengan cepat dan mudah melalui Telegram Bot, tanpa perlu membuka aplikasi pembuatan email institusi secara langsung. Hal ini meningkatkan efisiensi komunikasi dan manajemen waktu, yang mana waktu respon bot telegram hanya beberapa detik saja. Sistem ini memungkinkan otomatisasi layanan terkait institusi email, seperti layanan yang tidak hanya di dalam ruangan kantor, Sistem layanan menggunakan bot telegram menunjukkan kemampuan integrasi yang baik dengan layanan googl e.
E-LAPOR DAN SISTEM PENDATAAN DAMKAR ATAU BARISAN PEMADAM KEBAKARAN (BPK) KOTA BANJARMASIN Raharjo, Mokhamad Ramdhani; Ridho, Ihda Innar; Ikhwani, Yusri; Widyanti, Rahmi
Technologia : Jurnal Ilmiah Vol 11, No 3 (2020): Technologia (Juli)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v11i3.3283

Abstract

 ABSTRAK Kota Banjarmasin selain terkenal akan wisata pasar terapung dan kota seribu sungai, julukan Kota Banjarmasin juga terkenal dengan 1000 personel anggota pemadam kebakaran (damkar) atau sering disebut juga Barisan Pemadam Kebakaran  (BPK) .Banyaknya jumlah pemadam kebakaran karena atas kesadaran masyarakat Kota Banjarmasin yang sering terjadi musibah kebakaran rumah , hal ini dikarenakan wilayah Kota Banjarmasin padat akan pemukiman penduduk serta banyaknya rumah semi permanan yang terbuat dari kayu.Akan tetapi Banyaknya jumlah BPK ternyata tidak semuanya terdaftar resmi di Pemerintahan Kota Banjarmasin diperlukannya sistem aplikasi yang bisa mendata BPK resmi atau yang belum resmi sehingga membantu dinas terkait untuk memonitor dan mengetahui apakah Barisan Pemadan Kebakaran tersebut masih aktif beroperasi atau tidak aktif serta memberikan penyuluhan. Pada penelitian ini mengembangkan aplikasi berbasis website untuk mendata seluruh.Barisan Pemadam Kebakaran (BPK) beserta personil anggota pemadam kebakaran. Beradasarkan hasil dari penelitian ini membantu dinas terkait dalam memonitor persebaran Barisan Pemadam Kebakaran (BPK) di Kota Banjarmasin serta membantu masyarakat untuk lokasi dan melaporkan ke BPK apabila terjadi musibah kebakaran.Kata Kunci : Barisan Pemadam Kebakaran (BPK), DAMKAR,  Website, Monitoring, E-Lapor
Co-Authors Agus Perdana Windarto Ariana, Anak Agung Gede Bagus Ikhwani, Yusri Maulani, Jauhari Nur Alamsyah, Nur Raharjo, Mokhamad Ramdhani Rahmi Widyanti Ramadhani, Cerah Fitri