cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yosep Septiana
Contact Email
yseptiana@itg.ac.id
Phone
+6282124588750
Journal Mail Official
algoritma@itg.ac.id
Editorial Address
Jl. Mayor Syamsu No.1, Jayaraga, Kec. Tarogong Kidul, Kabupaten Garut, Jawa Barat 44151
Location
Kab. garut,
Jawa barat
INDONESIA
Jurnal Algoritma
Published by Institut Teknologi Garut
ISSN : 14123622     EISSN : 23027339     DOI : https://doi.org/10.33364/algoritma
Core Subject : Science,
Computer Science & IT
Jurnal Algoritma merupakan jurnal yang digunakan untuk mempublikasikan hasil penelitian dalam bidang Teknologi Informasi (TI), Sistem Informasi (SI), dan Rekayasa Perangkat Lunak (RPL), Multimedia (MM), dan Ilmu Komputer (Computer Science).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,026 Documents
 83   84   85   86   87 
Aplikasi Mobile Native untuk Digital Cockpit pada Sistem Human Digital Twin Zein, Wahid Alfaridsi Achmad; Fadlil, Abdul; herman; Kunta Biddinika, Muhammad; Yulianto, Dinan
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2206

Abstract

Teknologi Human Digital Twin telah membuka peluang baru dalamoptimalisasi sistem Digital Cockpit, terutama dalam pemantauankesehatan pengguna. Urgensi penelitian ini didorong oleh tingginyaangka kematian akibat penyakit kardiovaskular di Asia Tenggara,khususnya di Indonesia, yang menempati posisi kedua. Penelitian inibertujuan untuk mengembangkan dan mengintegrasikan teknologiHuman Digital Twin ke dalam Digital Cockpit, memungkinkanpemantauan kondisi kesehatan secara real-time melalui sensor yangtertanam dalam perangkat wearable. Data kesehatan yang diperoleh,diproses dan divisualisasikan dalam antarmuka interaktif yangdirancang dengan pendekatan low-fidelity wireframe menggunakanFigma, sehingga memudahkan pengguna dalam memahamiinformasi yang disajikan. Aplikasi diuji menggunakan metode BlackBox Testing untuk memastikan bahwa setiap fitur berfungsi sesuaidengan yang diharapkan tanpa memerlukan akses langsung ke kodeprogram. Selain itu, pengujian dilakukan dalam lingkungan simulasiuntuk mengevaluasi pengalaman pengguna serta efektivitas sistemdalam menyajikan informasi kesehatan. Hasil pengujianmenunjukkan bahwa sistem dapat beroperasi dengan baik sesuaidengan skenario yang dirancang, dengan antarmuka yang intuitif danresponsif terhadap interaksi pengguna. Penelitian ini berkontribusidalam bidang Teknologi Informasi dan Rekayasa Perangkat Lunakdengan menghadirkan solusi berbasis Human Digital Twin untukDigital Cockpit. Untuk pengembangan lebih lanjut, disarankaneksplorasi fitur prediktif berbasis kecerdasan buatan sertaoptimalisasi sistem agar dapat beradaptasi dengan berbagaiperangkat dan kebutuhan pengguna yang lebih luas.
Analisis Klaster Kemiskinan 38 Provinsi Indonesia Berdasarkan Pengaruh Sumber Daya Manusia, Infrastruktur, Ekonomi dengan DBSCAN Riamto, Mohammad Shodiq Wahyu; Donoriyanto, Dwi Sukma
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2223

Abstract

Poverty is a multidimensional issue that describes the condition of lack of opportunity, low ability, low level of security, and low capacity. In Indonesia, poverty is still a major problem that has not been resolved. The condition of an archipelagic country is a challenge in achieving equitable prosperity. Therefore, this study aims to map 38 provinces in Indonesia according to the results of DBSCAN clustering based on the analysis of the influence of human resource quality, infrastructure availability, and economic growth. Mapping of poor and non-poor provinces in Indonesia was carried out using the Density-Based Spatial Clustering of Applications with Noise (dbscan) cluster method which utilizes secondary data from BPS in the education, health, employment, etc. sectors. The results of the study showed that regional poverty mapping was divided into two clusters, namely 17 poor cluster provinces and 21 non-poor cluster provinces with a cluster evaluation value of 0.645 (fair cluster). Based on the analysis of the influence of poverty factors, 17 poor provinces are influenced by the high percentage of the population who have not attended school until the age of 15 years which is caused by the lack of educational infrastructure and the mindset of local communities who are less concerned about education and low infrastructure can hinder the economic growth of GRDP, resulting in inflation being difficult to control. Based on these conditions, the government has an important role in providing infrastructure in various sectors and the need for socialization of higher education to parents and students to ensure a decent life in the long term. Thus, it can be concluded that poverty in Indonesia can be resolved if the community cares about higher education and the government provides adequate and quality infrastructure in various sectors. It is hoped that the first point of the 2030 SDGs target can be completed.
Implementasi Virtual Tour Berbasis Web Menggunakan Kamera 360° Sebagai Media Promosi Mulyani, Asri; Erwin Gunadhi Rahayu, Raden; Qalam Ilmayasa, Muhammad
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2230

Abstract

Dalam era digital saat ini, kemajuan teknologi telah mengubah cara wisatawan ketika akan mencari informasi terkait dengan pemilihan akomodasi saat akan merencanakan kegiatan berlibur. Villa Andhita, sebagai salah satu destinasi penginapan di Kabupaten Garut, memiliki potensi besar untuk menarik wisatawan, namun promosi yang dilakukan masih terbatas pada media sosial dengan konten berupa foto, Video dan teks, yang kurang interaktif dan tidak memberikan gambaran menyeluruh mengenai fasilitas serta lingkungan villa. Akibatnya, calon wisatawan sering kali kesulitan mendapatkan informasi yang jelas dan harus datang langsung ke lokasi untuk memastikan kesesuaian dengan kebutuhan mereka. Untuk mengatasi kendala tersebut, penelitian ini bertujuan untuk merancang dan mengimplementasikan Virtual Tour berbasis web menggunakan kamera 360° sebagai media promosi yang lebih inovatif dan imersif. Metode pengembangan yang digunakan dalam penelitian ini adalah Multimedia Development Life Cycle (MDLC). Hasil penelitian menunjukkan bahwa Virtual Tour yang dikembangkan mampu memberikan pengalaman eksplorasi yang lebih interaktif dibandingkan media promosi konvensional. Berdasarkan pengujian beta, sistem yang dibuat memperoleh rata-rata skor 4,43 dalam skala Likert, yang menunjukkan bahwa Virtual Tour ini sangat layak digunakan sebagai media promosi. Dengan adanya inovasi ini, Villa Andhita dapat meningkatkan daya tariknya di kalangan wisatawan serta memberikan kemudahan bagi calon pengunjung dalam mendapatkan informasi yang lebih lengkap sebelum melakukan reservasi.
Perbandingan Model Ensemble untuk Memprediksi Efisiensi Penghambatan Korosi Senyawa N-Heterosiklik Cahyana, Timothy Mulya; Akrom, Muhammad; Trisnapradika, Gustina Alfa
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2247

Abstract

Penelitian ini mengevaluasi dan membandingkan efektivitas berbagai model regresi ensemble dalam memprediksi Corrosion Inhibition Efficiency (CIE) dari senyawa N-heterosiklik. Model-model yang dievaluasi adalah Extra Trees Regressor, Random Forest Regressor, Light Gradient Boosting Regressor, Gradient Boosting Regressor, Extreme Gradient Boosting Regressor, Adaptive Boosting Regressor, Bagging Regressor, dan Categorical Boosting Regressor, menggunakan fitur molekul seperti highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbital (LUMO), celah energi (Delta E), momen dipol (mu), potensi ionisasi (I), afinitas elektron (A), keelektronegatifan (chi), kekerasan global (eta), kelembutan global (sigma), elektrofilisitas (omega), dan fraksi elektron yang ditransfer (Delta N). Di antara model yang dievaluasi, Extreme Gradient Boosting Regressor memberikan kinerja terbaik, dengan skor R-squared (R2) tertinggi sebesar 0.9776. Temuan ini menunjukkan efektivitas model ensemble dalam meningkatkan akurasi prediksi inhibisi korosi dan pentingnya pembelajaran mesin dalam mengembangkan inhibitor korosi yang lebih baik.
Analisis indikator Bollinger Bands, Stochastics dan Relative-Strength Index Untuk Prediksi Pergerakan Gold Futures Berbasis Deep Learning Gabriel, Evander; Lukito, Yuan; Haryono, Nugroho
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2264

Abstract

Prediksi harga Gold Futures menantang karena volatilitas tinggi dan perannya sebagai aset safe-haven yang dipengaruhi kondisi politik serta ekonomi global. Strategi trading yang tepat diperlukan untuk memanfaatkan fluktuasi harga, salah satunya melalui analisis teknikal, fundamental, sentimen, maupun machine learning. Penelitian ini menganalisis efektivitas indikator teknikal Bollinger Bands (BB), Stochastic Oscillator (STOCH), dan Relative Strength Index (RSI) dalam memprediksi harga Gold Futures menggunakan model Deep Learning Long Short-Term Memory (LSTM). Data penelitian berupa ±40.000 harga Gold Futures dari Yahoo Finance, yang dibagi ke dalam data latih, validasi, dan uji dengan metode sliding window (pergeseran 20% dari 0%–60%). Kinerja model dievaluasi melalui Return, Real, Trade, Win-rate, dan Profit-factor menggunakan back testing di Metatrader 5 (leverage 100). Hasil menunjukkan model LSTM dengan fitur BB (periode 20, deviasi 2) menghasilkan return tertinggi rata-rata $100.48, Win-rate 32.53%, dan Profit-factor 2.30. Model terbaik kedua menggunakan kombinasi ketiga indikator dengan return rata-rata $98.033, Win-rate 30.96%, dan Profit-factor 2.12.
Perancangan Sistem E-Voting Mahasiswa Berbasis Web Menggunakan RUP untuk Efisiensi Pemilihan Ketua Organisasi Kampus Rahayu, Raden Erwin Gunadhi; Kurniadi, Dede; Pratama, Reifalga Gais
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2267

Abstract

The Student Executive Board (BEM) is an intra-campus student organization that serves as the executive body at the university level, led by a BEM president. Currently, the BEM election is conducted conventionally, resulting in a decline in voter participation due to factors such as students being on vacation, having class schedules, or lacking interest in organizational activities. Therefore, a more effective election process is needed—one solution being the implementation of E-Voting, which allows all students to participate digitally. The objective of this study is to develop an e-voting system that facilitates students in electing the BEM president of the Institut Teknologi Garut, making it easier for them to exercise their voting rights. The method used is the Rational Unified Process (RUP), which consists of four main phases: Inception, Elaboration, Construction, and Transition. The black box testing results indicate that all system functions operate according to the defined scenarios. Meanwhile, beta testing involving 33 respondents achieved a satisfaction rate of 88.48%, categorized as strongly agree. These results demonstrate that the developed e-voting system meets users’ functional requirements, simplifies the committee’s work in managing the election process, and provides students with convenient access to candidate information, vision and mission statements, as well as real-time election results. The contribution of this research lies in presenting an e-voting system that is not only efficient, dynamic, and flexible but also developed using the iterative RUP methodology, ensuring software quality and alignment with student organizational needs. Moreover, it serves as a reference for implementing digital voting technology within academic environments.
Aplikasi Monitoring Stok Ikan Laut dengan Algoritma FIFO untuk Efisiensi Manajemen Stok Setiawan, Ridwan; Hestiyanti, Mita; Jianul Hayat, Encep
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2273

Abstract

PT Berkah Wahana Samudera Jaya Group is a company engaged in the fish trade. In the current business processes of PT Berkah Wahana Samudera Jaya Group, the process involves recording, transferring data to Excel, and monitoring stock manually through Excel, which often causes discrepancies between the actual and recorded stock quantities. The purpose of this study is to design a web-based marine fish stock monitoring application with the implementation of the First In First Out (FIFO) algorithm to ensure that the fish that enters first will be the first to leave, thereby reducing the risk of fish quality deterioration, monitoring stocks more quickly, and ensuring that stock data is always up to date. The research uses the Rational Unified Process (RUP) methodology, which includes four stages of application design, namely Inception, Elaboration, Construction, and Transition, with Unified Modeling Language (UML) system modeling. The result of this research is a stock monitoring application implemented at PT Berkah Wahana Samudera Jaya Group to support fish stock management and minimize recording errors. The contribution of this research is to provide a digital solution that can be used as a reference for developing web-based inventory management systems in the fisheries sector, supporting the transformation of the fisheries industry towards a more efficient, transparent, and integrated digital ecosystem.
Eksploitasi Broken Access Control Untuk Eskalasi Hak Akses Pada LMS Universitas XYZ Muhammad, Azri; Hadiana, Asep Id; Ilyas, Ridwan
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2287

Abstract

This study aims to identify and exploit security vulnerabilities in the Learning Management System (LMS) of a university, with a primary focus on Broken Access Control (BAC) flaws resulting from misconfigurations in user access settings. With the rising threat of data breaches, this research also analyzes the extent to which security principles are applied to protect sensitive LMS user data—an increasingly critical issue in the digital era.The research approach began with the signing of a Non-Disclosure Agreement (NDA) to ensure the confidentiality of information, followed by an analysis of existing vulnerability assessment reports. Penetration testing was then conducted to identify potential unauthorized privilege escalation and further exploitation of vulnerabilities within the system. The analysis revealed a BAC vulnerability that allowed attackers to modify user roles without authorization. Additionally, it identified the use of the outdated MD5 hashing algorithm and the insecure storage of sensitive data on the client side without proper encryption. The exploitation of these vulnerabilities demonstrated that an attacker could gain administrator access simply by manipulating user roles, thereby enabling access to over 117,000 user records, including personal information and health history.This research contributes in three main aspects: first, an in-depth identification of critical vulnerabilities within the LMS, particularly concerning weak access control and inadequate data protection; second, a demonstration of how BAC exploitation can lead to the leakage of sensitive data in higher education environments; and third, the provision of mitigation recommendations based on current security best practices, such as the implementation of Role-Based Access Control (RBAC), the principle of least privilege, stricter role validation, Zero Trust Architecture, and the integration of artificial intelligence (AI) to detect threats early and provide automated responses to potential attacks.It is expected that this research can serve as a guideline for educational institutions in strengthening LMS security systems and more effectively protecting user data.
Prediksi Curah Hujan Menggunakan Metode Bi-LSTM dan GRU Berbasis Data Iklim Abdillah, Fajrul; Hadiana, Asep Id; Melina, Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2305

Abstract

As a tropical country, Indonesia faces great challenges in predicting rainfall due to increasingly dynamic climate change. This study aims to predict rainfall in an urban area in West Java with tropical climate characteristics using deep learning methods, namely Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Unit (GRU) based on climate data collected from local meteorological stations. The results show that the Bi-LSTM method provides more stable prediction performance with a Mean Absolute Error (MAE) value of 0.0108 and a Root Mean Squared Error (RMSE) of 0.0158. In contrast, the GRU method produced variable performance with higher MAE and RMSE values in some test scenarios. The main findings of this study indicate that the BiLSTM model has a higher level of accuracy, making it an effective information technology solution to support disaster mitigation and agricultural sector planning in climatically complex regions.
Literasi Digital di UMKM: Tinjauan Sistematis dan Pengembangan Kerangka Teoretis Terintegrasi Menggunakan Metode PRISMA Tamyiz, Uus Muhamad Husni; Munir; Furqon, Chairul; Dirgantari, Puspo Dewi
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2308

Abstract

Digital literacy proficiency has become increasingly important for the survival and competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in the digital era. This study conducts a systematic literature review following the PRISMA protocol to analyze the current state of research on digital literacy among MSMEs. Based on an analysis of fifty-six peer-reviewed articles published between 2015 and 2025 from the Scopus database, this study synthesizes existing knowledge, identifies research patterns, and proposes directions for future research. The analysis reveals a significant evolution in digital literacy research, particularly accelerated by the COVID-19 pandemic, with a notable increase from an average of one article per year during the period 2015 to 2019 to more than twelve articles per year between 2020 and 2024. Survey-based studies dominate the methodological landscape with thirty-nine point three percent, followed by quantitative approaches with nineteen point six percent. Citation analysis indicates a substantial scientific impact with a total of one thousand one hundred forty-nine citations, averaging twenty point five two citations per article. Three major research streams have emerged, namely digital transformation processes, performance impacts, and capability development. Indonesia appears as a prominent research context, representing forty-four point six percent of the studies, providing insights into the implementation of digital literacy in developing countries. The findings indicate that the successful implementation of digital literacy is influenced by technological infrastructure, organizational capability, and external support. This review contributes to theoretical development by integrating diverse perspectives and to practical applications by identifying critical success factors in digital literacy implementation. Future research opportunities include longitudinal studies, cross-country comparisons, and investigations of the effects of emerging technologies on MSME digital literacy.

Page 85 of 103 | Total Record : 1026

 83   84   85   86   87 

Filter by Year

2012 2025


Reset
Filter By Issues
All Issue Vol 22 No 2 (2025): Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma Vol 20 No 1 (2023): Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma Vol 19 No 1 (2022): Jurnal Algoritma Vol 18 No 2 (2021): Jurnal Algoritma Vol 18 No 1 (2021): Jurnal Algoritma Vol 17 No 2 (2020): Jurnal Algoritma Vol 17 No 1 (2020): Jurnal Algoritma Vol 16 No 2 (2019): Jurnal Algoritma Vol 16 No 1 (2019): Jurnal Algoritma Vol 15 No 2 (2018): Jurnal Algoritma Vol 15 No 1 (2018): Jurnal Algoritma Vol 14 No 2 (2017): Jurnal Algoritma Vol 14 No 1 (2017): Jurnal Algoritma Vol 13 No 2 (2016): Jurnal Algoritma Vol 13 No 1 (2016): Jurnal Algoritma Vol 12 No 2 (2015): Jurnal Algoritma Vol 12 No 1 (2015): Jurnal Algoritma Vol 11 No 2 (2014): Jurnal Algoritma Vol 11 No 1 (2014): Jurnal Algoritma Vol 10 No 2 (2013): Jurnal Algoritma Vol 10 No 1 (2013): Jurnal Algoritma Vol 9 No 2 (2012): Jurnal Algoritma Vol 9 No 1 (2012): Jurnal Algoritma More Issue