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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
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Komparasi Layanan Video Live Streaming Menggunakan Metode Quality of Service Hardiyanti, Fitri; Bintoro, Panji; Ratnasari, Ratnasari; Herdian Andika, Tahta; Ardhy, Ferly; Eko Setiawan, Agustinus
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1610

Abstract

Video streaming is growing very rapidly nowadays, many people use it in their daily lives, especially since the pandemic, video streaming has become an important need. Video conferencing applications such as Zoom, Google Meet, and Cisco Webex have become increasingly important in facilitating remote communications, allowing people to communicate, collaborate, and hold virtual meetings without geographic restrictions. This research uses the QoS method to analyze the comparison of service quality from video streaming such as Zoom, Cisco Webex and Google Meet. From the results of the research carried out, each video stream was assessed with QoS. The research carried out was by testing 3 applications, namely Zoom, Cisco Webex and Google Meet, the best results were obtained, namely Zoom with a Throughput value of 6685842, a Delay value of 47ms, a Jitter value of 47 ms and a Packet Loss value of 0.004%. The QoS method can be applied in comparative quality analysis in testing video streaming service applications.
Teknik K-Fold Cross Validation untuk Mengevaluasi Kinerja Mahasiswa Wijiyanto, Wijiyanto; Pradana, Afu Ichsan; Sopingi, Sopingi; Atina, Vihi
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1618

Abstract

A student's ability to complete courses is influenced by various factors, including academic and non-academic aspects. Understanding the factors that influence it is very important to know in order to anticipate and prevent the possibility of failure in the study. It turns out that non-academic factors also have a big influence on student success, especially family factors, such as the level of education obtained by parents, the employment status of parents and the income of both parents. To be able to understand these factors, studies are needed to predict student performance based on family background factors using machine learning models, support vector machine algorithms, naïve Bayes, neural networks and decision trees. The data used was 365 records and 11 attributes, separated by 70% for train data and 30% for test data, which was then used by kfold cross validation to evaluate the results using the parameters n_split=10 and random_state=42. In the confusion matrix parameters, the average (mean) accuracy value for the support vector machine model was 87.68%, naïve Bayes was 90.97%, neural network was 87.95% and decision tree was 85.75%. Meanwhile, the best fold result for SVM is located at the 10th fold with an accuracy of 94.44%, for NB it is located at the 4th fold with an accuracy value of 97.29%, for NN it is located at the 4th fold with an accuracy value of 94.59% and for DT is located on the 5th fold with an accuracy value of 91.89%. Thus, evaluation using k-fold cross validation can be used to predict student performance based on family attributes using the 4th fold which has the highest accuracy of 97.29% in the naïve Bayes model algorithm in order to graduate on time.
Pengembangan E-Portofolio Berbasis Web untuk Career Development Center Fitriani, Leni; Setiawan, Ridwan; Hamdi, Wildan Hidayatul
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1619

Abstract

This research aims to develop an e-portfolio system for students and alumni of the Garut Institute of Technology, which is provided by the Career Development Center (CDC). This system allows users to archive digital work or proof of achievement which can be in the form of achievements, awards, certifications, work history, education, and involvement in organizations, as an e-portfolio. Agile methodology with a Scrum approach is used in this research, and this system is designed as a website using the React JS Framework. The result of this research is an alternative system that makes it easier for users to create and access e-portfolios digitally and helps the Career Development Center increase opportunities for students and alumni to find jobs that suit their skills and interests. This system allows users to manage and share e-portfolio results online or download them in pdf format.
Rancang Bangun Sistem Aplikasi ASBABUN Nuzul Berbasis Android dengan Metode Extreme Programming Mud’is, Maulana Hasan; Khaerani, Izzah Faizah Siti Rusydati
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1627

Abstract

The rapid development of technology has now become a major need in society, including in the system of practicing the Asbabun Nuzul worship series for those who believe in it. However, there is still a lot of Asbabun Nuzul data that has not been computerized, causing difficulties in collecting data and understanding Asbabun Nuzul in the Al-Qur'an. Therefore, an Asbabun Nuzul learning application which includes the works of Imam Suyuti and Al-Wahidi An-Nisaburi was developed to make it easier for people to read and understand Asbabun Nuzul per verse in the Al-Qur'an. This application was created using Android Studio with the Java programming language and has been tested using the blackbox method. This research was conducted by collecting data from literature studies and interviews. This application is intended for academics and reviewers who are interested in the field of the Al-Qur'an and Tafsir, it is hoped that it can help deepen understanding of the Al-Qur'an, provide a valid understanding of the verse, and avoid difficulties in understanding the meaning and purpose of the verse.
Implementasi Puzzle Game pada Media Pembelajaran Aksara Sunda Nashier, Luthfi Abdurrahman; Sutedi, Ade; Heryanto, Deni
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1628

Abstract

Sundanese script is a culture that must be preserved from an early age to prevent extinction. At this time, not all Sundanese people understand Sundanese script, including students in schools from the Sundanese region, because not all schools require their students to learn Sundanese script. However, in fact there are deficiencies in teaching and learning activities for Sundanese script that exist with the application of media. current learning. Learning media is a vehicle for transmitting learning messages and information. Well-designed learning media will really help students digest and understand the lesson material. The aim of this research is to apply puzzle games to Sundanese script learning media, namely to apply Sundanese script puzzle games as supporting media for Sundanese script learning in learning how to combine words into sentences and can help preserve culture, especially Sundanese script. The system development method used in this research is the Multimedia Development Life Cycle (MDLC) which consists of Concept, Design, Material Collecting, Assembly, Testing and Distribution with activities carried out including literature studies, interviews, collecting material requirements, designing, creating programs, implementation of the program into an application, as well as the alpha and beta testing process. The results of this research are Sundanese script learning media that applies the puzzle game concept as a support in learning more interesting Sundanese script. With the questionnaire results reaching a score of 92.5%, the application is suitable for use for learning media purposes in class VII Madrasah Tsanawiah (MTs) schools.
Analisis Kondisi Keuangan Guru Honorer di Jawa Barat dan Implikasinya pada Penggunaan Pinjaman Online Nabhani, Irfan; Nabhani, Mikail Omar; Fitri, Liani Asmarani
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1630

Abstract

This article aims to provide a descriptive analysis regarding the conditions of honorary teachers in West Java in financial management. This is important because honorary teachers are one of the spearheads of education at the primary and secondary levels whose welfare needs attention. This research also carries out discussions and proposes a research framework concept on the factors that influence this behavior, including their decisions when taking online loans. The survey was conducted online on 68 honorary teachers who are members of the association for further descriptive analysis. The survey results show that the majority of honorary teachers have incomes that are below living standards so their position will be vulnerable to penetration by online loans, especially illegal ones. This research proposes a further research concept on the financial behavior of regional honorary teachers by including the variables of financial literacy, inclusiveness, efficiency and innovation, risk and customer protection, security and confidentiality of personal data, as well as the legality of the loan.
Implementasi Metode Multi Objective Optimization by Ratio Analysis dalam Menentukan Lahan dengan Jumlah Pupuk Terbanyak Ikhwan, Ali; Yuanda, Ary Santri; Shiddiq Siregar, Fahreza; Lesmana, Reza Kurnia
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1568

Abstract

PTPN III (Persero) is a plantation company that has a strategic role in managing agricultural resources in Indonesia. With a main focus on the plantation sector, PTPN III manages various types of crops such as oil palm, rubber and tea, which are the country's main export commodities. However, to get the best quality, accumulation must be taken into account in order to increase agricultural yields. This research aims to optimize agricultural management at PTPN III through the implementation of a Decision Support System (SPK) which utilizes the Multi-Objective Optimization by Ratio Analysis (MOORA) method. Decision Support Systems (DSS) are very helpful in determining and making decisions that cannot be chosen randomly. This system is designed to provide recommendations based on evaluation criteria. The aim of this system is to determine the blocks or sections that require the most fertilizer without any effort and efficiency. It is hoped that the results of this system will provide assistance to PTPN III. Experimental results show that implementing SPK using the MOORA method can help PTPN III identify the most suitable land and determine the largest amount of fertilizer to increase agricultural yields and serve as reference data. This system not only increases the efficiency of fertilizer use but also supports environmental sustainability. It is hoped that the accuracy and reliability of the SPK can become the basis for smarter and more adaptive decision making in modern agricultural management. The final result aimed at is to obtain land that uses the most fertilizer based on the final results, namely Block LL32 AFD IX (A4) with a score of 0.3334 and is in first position.
Investigasi Model Machine Learning Regresi Pada Senyawa Obat Sebagai Inhibitor Korosi Rosyid, Muhammad Reesa; Mawaddah, Lubna; Akrom, Muhamad
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1598

Abstract

Korosi merupakan tantangan signifikan bagi daya tahan material, yang seringkali menyebabkan kerugian ekonomi yang besar. Penelitian ini memanfaatkan teknik Machine Learning (ML) untuk memprediksi efektivitas senyawa obat sebagai inhibitor korosi. Kami menggunakan lima algoritma ML yang menonjol: Regresi Linear, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Random Forest, dan XGBoost. Model-model ini dilatih dan dievaluasi menggunakan dataset yang terdiri dari 14 fitur molekuler dengan efisiensi inhibisi korosi (IE%) sebagai variabel target. Hasil pelatihan model awal mengidentifikasi Random Forest dan XGBoost sebagai yang berkinerja terbaik berdasarkan metrik seperti Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), dan R-squared (R²). Penyetelan hiperparameter lebih lanjut menggunakan GridSearchCV menunjukkan bahwa XGBoost, setelah penyetelan, secara signifikan mengungguli model lainnya, mencapai kesalahan terendah dan nilai R² tertinggi, menunjukkan akurasi prediktif yang superior untuk aplikasi ini. Temuan ini menegaskan potensi ML, khususnya XGBoost, dalam meningkatkan pemodelan prediktif inhibitor korosi, sehingga memberikan wawasan berharga bagi bidang ilmu korosi.
Desain Aplikasi Layanan Kesehatan Home Care Menggunakan Metode User Centred Design (UCD) Setiawan, Agustinus Eko; Zulkifli, Zulkifli; Andika, Tahta Herdian; Aras, Irsan; Pasaribu, Alfredo
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1617

Abstract

In today's digital era, using applications to support the health service process is very useful. The service that everyone expects is one that truly serves and makes it very easy. In this research the author proposes to develop a Home Care application which aims to facilitate public access to health services. People do not need to go to health centers or hospitals, but medical personnel will visit patients. The Home Care Health Service which is presented via the web platform is designed with a UCD (User Centered Design) approach to overcome the challenges faced by users in using the Home Care application provided. Users can easily understand the functions of these application modules in just one use. The User Centered Design (UCD) method succeeded in obtaining usability testing results with an average percentage of 83.72%. Thus, the Home Care application has succeeded in creating a system that is user-friendly and very useful.
Evaluasi Celah Keamanan Website Dana Pensiun X Melalui Penetration Testing Berdasarkan ISSAF Framework Tjiptabudi, Fransiskus Mario Hartono; Ndaumanu, Ricky Imanuel
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1644

Abstract

Dapen X merupakan dana pensiun penyelenggara program pensiun untuk peserta yang merupakan karyawan dari sebuah lembaga keuangan. Dalam mendukung proses bisnisnya yang berkaitan dengan pengelolaan data dan juga informasi, Dapen X telah menerapkan sebuah website. Mengingat bahwa data yang dikelola dan manfaat yang diberikan oleh website tersebut sangat krusial maka rentan menjadi sasaran serangan siber. Berkaca pada berbagai kasus serangan siber yang terjadi, maka perlu dilakukan pencegahan akan hal tersebut terhadap website Dapen X sehingga wajib dilakukan pengujian tingkat keamanan website secara menyeluruh antara lain dengan mengidentifikasi celah keamanan, memahami risiko keamanan sistem, mengkaji keamanan server sebagai bentuk pertahanan dari pencurian data dan pelanggaran keamanan. Oleh karena itu, penelitian ini bertujuan untuk melakukan penetration testing terhadap website Dapen X berdasarkan kerangka kerja ISSAF. Adapun hasil yang diperoleh yakni adanya temuan sebanyak 21 kerentanan yang terdiri dari 6 kerentanan Tingkat menengah (medium) dan 15 kerentanan tingkat rendah (low). Penelitian ini menghasilkan beberapa rekomendasi perbaikan yang menjadi dasar pijakan untuk meningkatkan keamanan website Dapen X dalam rangka mencegah terjadinya serangan siber dari pihak luar.

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