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Format : Jurnal Ilmiah Teknik Informatika, Fakultas Ilmu Komputer Universitas Mercu Buana, Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650 Tlp./Fax: +62215840816
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INDONESIA
Format : Jurnal Imiah Teknik Informatika
Published by Universitas Mercu Buana
ISSN : 20895615     EISSN : 27227162     DOI : http://doi.org/10.22441/format
Core Subject : Science,
Computer Science & IT
Format : Jurnal Ilmiah Teknik Informatika merupakan jurnal peer-review yang berasal dari hasil-hasil penelitian dan kajian ilmiah di bidang Ilmu Komputer khususnya Informatika. Cakupan naskah artikel yang dapat dipublikasikan difokukuskan pada bidang berikut (namun tidak terbatas): ICT, Rekayasa Perangkat Lunak, Sistem Informasi Geografis, Data mining and Big Data, Komunikasi Data, Mobile Computing, Kesercasan Buatan, E-Learning, Multimedia and Pengolahan Gambar, Sistem Keamanan dan Basisdata, IOT, dan Jaringan Komputer. Format : Jurnal Ilmiah Teknik Informatika diterbitkan oleh Program Studi Informatika, Universitas Mercu Buana Jakarta. Periode penerbitan adalah setahun dua kali, yaitu pada bulan Januari dan bulan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 13, No 2 (2024)" : 10 Documents clear
PERANCANGAN SISTEM INFORMASI PEMESANAN MAKANAN BERBASIS ANDROID UNTUK MENINGKATKAN PENJUALAN BAGI UMKM Yahya, Yahya; Sidik, Sidik
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.004

Abstract

Tantangan yang dihadapi oleh Usaha Mikro, Kecil, dan Menengah (UMKM) dalam industri makanan untuk meningkatkan penjualan dan menjangkau pasar yang lebih luas di era digital. Persaingan yang ketat dan perubahan perilaku konsumen yang lebih memilih layanan daring menjadi pendorong utama bagi UMKM untuk mengadopsi teknologi informasi dalam operasional bisnis mereka.Penelitian ini menggunakan metode penelitian pengembangan sistem dengan pendekatan Waterfall yang meliputi tahap analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Metode ini dipilih karena memiliki struktur yang terorganisir dan memudahkan dalam pengelolaan setiap tahap pengembangan.Aplikasi yang akan dibuat adalah sistem informasi pemesanan makanan berbasis Android. Aplikasi ini dirancang untuk membantu UMKM dalam mengelola menu, menerima pesanan, dan berinteraksi dengan pelanggan secara lebih efektif..Hasil penelitian menunjukkan bahwa aplikasi pemesanan makanan berbasis Android ini dapat meningkatkan efisiensi operasional dan penjualan bagi UMKM. Penggunaan aplikasi ini memungkinkan UMKM untuk menjangkau lebih banyak pelanggan, meningkatkan kepuasan pelanggan melalui kemudahan pemesanan, dan mengelola pesanan dengan lebih baik. Pengujian fungsionalitas dan integrasi menunjukkan bahwa aplikasi berjalan dengan baik dan memenuhi kebutuhan pengguna sesuai dengan spesifikasi yang telah ditentukan.Dengan demikian, penelitian ini menyimpulkan bahwa adopsi teknologi informasi dalam bentuk aplikasi pemesanan makanan berbasis Android adalah solusi efektif bagi UMKM untuk meningkatkan daya saing dan penjualan di pasar yang semakin digital.
Applications for Learning Fruits And Animals Using Android-Based Augmented Reality Technology Lay, Yoseph Martin; Kaburuan, Emil Robert
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.009

Abstract

The use of Augmented Reality (AR) technology in education has become an area of research that has attracted attention in recent years. In the context of learning animals and fruits, AR has great potential to increase students' interest and understanding through interesting interactive experiences. By using Unity 3D as a development platform and Vuforia as an AR toolkit, this application is equipped with features such as object detection, visualization of fruits and animals in 3D, as well as additional information about names, descriptions, and additional information about characteristics and characteristics of each object. This study aims to develop a fruits and animals learning application using Android-based Augmented Reality (AR) technology. This application takes advantage of AR capabilities on Android devices to visualize fruits and animals in three dimensions (3D) in the real world.
Implementasi Algoritma Greedy dan Dynamic Programming untuk Masalah Penjadwalan Interval dengan Model Knapsack Prasha, Achmad Ardani; Rachmadi, Clavino Ourizqi; Sari, Amanda Puspita; Raditya, Nanda Garin; Mutiara, Sabrina Laila; Yusuf, Mohamad
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.005

Abstract

Penelitian ini membahas implementasi algoritma Greedy dan Dynamic Programming untuk penjadwalan interval dengan model knapsack, yang esensial dalam optimasi. Tujuan penelitian ini adalah memberikan panduan praktis dalam memilih algoritma yang tepat untuk aplikasi dunia nyata. Metode yang digunakan mencakup algoritma Greedy, yang membuat pilihan lokal terbaik untuk mencapai solusi global optimal, dan Dynamic Programming, yang memecah masalah menjadi submasalah lebih kecil dan menyelesaikannya secara berulang. Hasil penelitian menunjukkan bahwa Dynamic Programming memberikan solusi optimal dengan penggunaan waktu dan ruang yang lebih besar dibandingkan dengan Greedy. Algoritma Greedy lebih cepat tetapi tidak selalu memberikan solusi optimal, sedangkan Dynamic Programming lebih cocok untuk masalah kecil yang membutuhkan solusi optimal. Penelitian ini menyimpulkan bahwa kedua algoritma memiliki kelebihan dan kekurangan masing-masing tergantung pada skala dan kebutuhan masalah. Penelitian ini berkontribusi dalam bidang optimasi dan penjadwalan serta membuka jalan bagi pengembangan algoritma lebih lanjut. Implementasi kedua algoritma ini membantu dalam pengambilan keputusan yang lebih baik dalam aplikasi penjadwalan interval dengan model knapsack.Kata kunci: Algoritma Greedy, Dynamic Programming, Knapsack Problems, Interval Scheduling, Optimasi, Task Scheduling
ANALISIS SENTIMEN TERHADAP DAMPAK PERANG ISRAEL - PALESTINA MELALUI DATA TWITTER MENGGUNAKAN NAIVE BAYES Halim, Alfian Noer; Dwiasnati, Saruni
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.010

Abstract

The increasing development of information technology makes it easy for people to get various information only through social media such as Twitter. Twitter is a mainstay social networking application and source of information on world events. With Twitter, people can get a lot of the latest news. One piece of information that is widely discussed and is a trending topic on Twitter is the impact of the Israeli and Palestinian war. It is important to analyze the feelings of the impact of the ceasefire between Israel and Palestine from the amount of information in online media. The data used is Twitter, a social media platform. This research was conducted to analyze people's reactions to data in the form of tweets and group them according to the Naïve Bayes method into positive, neutral or negative opinions. In implementing the Naïve Bayes algorithm which uses 3 models of the Naïve Bayes algorithm, namely Gaussian, Multinomial, and Bernoulli, it shows different results, namely 50% for the Naïve Bayes Gaussian model, 57% for the Naïve Bayes Bernoulli model, and Naïve Bayes Multinomial model is 65 %. This shows that the Multinomial Naïve Bayes model is better than other models in classifying the data in this case.
Perbandingan Algoritma Machine Learning Untuk Prediksi Gagal Bayar Pinjaman Koperasi yang Optimal Aziz, Hilmi; Rianto, Rianto
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.001

Abstract

Abstract - Predicting loan repayment defaults is quite an important thing to do in a financial institution such as a Savings and Loans Cooperative. The aim is to minimize the occurrence of loan defaults by borrowers to cooperatives so that bankruptcy does not occur. In this study, the development of a predictive model was carried out using several popular machine learning algorithms, namely logistic regression, decision tree, random forest and k-nearest neighbors (KNN), then the four models were compared and evaluated in order to find out which model with the most effective algorithm. in predicting loan defaults in cooperatives. Program evaluation is carried out by metrics such as accuracy, precision, recall, and f1-score. The dataset itself is obtained from a loan list which includes attributes such as borrower profile, loan amount, number of installments, etc. This dataset is divided into training data and test data to train and evaluate the model. The results showed that the Random Forest algorithm model provided the best accuracy, reaching 89%, followed by the Decision Tree with the highest accuracy value, which reached 84%, and finally Logistic Regression and K-Nearest Neighbors with the same accuracy value, namely 81%. These four algorithms were chosen because they are well-known algorithms among other algorithms for financial predictions because of their ability to understand complex relationships, provide interpretable results, overcome overfitting problems, and consider the interrelationships between similar entities. Abstrak – Melakukan prediksi kegagalan pembayaran pinjaman merupakan hal yang cukup penting untuk dilakukan di sebuah badan keuangan seperti Koperasi Simpan Pinjam. Tujuannya yaitu untuk meminimalisir terjadinya gagal bayar pinjaman oleh peminjam kepada Koperasi agar tidak terjadi bangkrut. Pada penelitian ini dilakukan pengembangan model prediksi dengan menggunakan beberapa algoritma machine learning yang cukup popular yaitu  logistic regression, decision tree, random forest dan k-nearest neighbors (KNN), kemudian keempat model tersebut dibandingkan dan dievaluasi agar diketahui model dengan algoritma mana yang paling efektif dalam memprediksi gagal bayar pinjaman di Koperasi. Evaluasi program dilakukan metrik-metrik seperti akurasi, presisi, recall, dan f1-score. Untuk datasetnya sendiri didapat dari daftar pinjaman yang mencakup atribut seperti profil peminjam, jumlah pinjaman, banyak angsuran, dll. Dataset ini dibagi menjadi data pelatihan dan data uji untuk melatih dan mengevaluasi model. Hasil penelitian menunjukkan bahwa model algoritma Random Forest memberikan akurasi terbaik yaitu mencapai 89%, diikuti oleh Decision Tree dengan nilai akurasi tertingginya yang mencapai 84%, dan yang terakhir Logistic Regression dan K-Nearest Neighbors dengan nilai akurasi yang sama yaitu 81%. Keempat algoritma ini dipilih karena merupakan algoritma yang cukup terkenal di antara algoritma lainnya untuk prediksi dalam hal keuangan karena kemampuan mereka untuk memahami hubungan yang kompleks, memberikan hasil yang dapat diinterpretasikan, mengatasi masalah overfitting, dan mempertimbangkan keterkaitan antara entitas yang serupa.
Sistem Informasi Distribusi Salker dan Alker untuk Manajemen Rantai Pasokan dengan Rapid Application Development (RAD) Manikam, Ratna Mutu; Wibisana, Pandu
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.006

Abstract

This research develops the Alker and Salker distribution information system for supply chain management using the Rapid Application Development (RAD) method. This system aims to overcome the problem of monitoring stock in area and central warehouses, as well as improving the efficiency of goods distribution from the center to the area. In this research, observation, interviews and literature study methods were used to collect data, while Fishbone diagrams were used to analyze problems. The application development process involves several stages, starting from requirements planning, design workshops, to system implementation and testing. This system is designed using UML to describe use cases and activity diagrams, and is equipped with an intuitive user interface. System testing is carried out using the White Box method, which tests various logic paths in the application to ensure that no errors occur. The research results show that the application developed is able to increase the efficiency of supply chain management by providing accurate stock information and facilitating the management of transactions between warehouses. With this system, companies can minimize errors in stock management and ensure the distribution of goods runs smoothly. The implementation of this system is expected to increase the company's operational productivity and efficiency, especially in the management of Alker and Salker. This research contributes to the literature regarding the use of RAD in the development of supply chain information systems and provides practical solutions to goods distribution problems in companies.. Keywords : Supply Chain Management; Rapid Application Development (RAD); JavaScript; MySQL Abstrak   Penelitian ini mengembangkan sistem informasi distribusi Alker dan Salker untuk manajemen rantai pasokan menggunakan metode Rapid Application Development (RAD). Sistem ini bertujuan untuk mengatasi masalah pemantauan stok di gudang area dan pusat, serta memperbaiki efisiensi distribusi barang dari pusat ke area. Dalam penelitian ini, metode observasi, wawancara, dan studi pustaka digunakan untuk mengumpulkan data, sementara diagram Fishbone digunakan untuk menganalisis permasalahan. Proses pengembangan aplikasi melibatkan beberapa tahapan, mulai dari perencanaan kebutuhan, workshop desain, hingga implementasi dan uji coba sistem. Sistem ini dirancang menggunakan UML untuk menggambarkan use case dan activity diagram, serta dilengkapi dengan antarmuka pengguna yang intuitif. Pengujian sistem dilakukan menggunakan metode White Box, yang menguji berbagai jalur logika dalam aplikasi untuk memastikan tidak ada kesalahan yang terjadi. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan mampu meningkatkan efisiensi manajemen rantai pasokan dengan menyediakan informasi stok yang akurat dan memfasilitasi pengelolaan transaksi antar gudang. Dengan sistem ini, perusahaan dapat meminimalkan kesalahan dalam pengelolaan stok dan memastikan distribusi barang berjalan dengan lancar. Implementasi sistem ini diharapkan dapat meningkatkan produktivitas dan efisiensi operasional perusahaan, khususnya dalam pengelolaan Alker dan Salker. Penelitian ini berkontribusi pada literatur mengenai penggunaan RAD dalam pengembangan sistem informasi rantai pasokan dan memberikan solusi praktis untuk masalah distribusi barang di perusahaan. Keywords : Supply Chain Management; Rapid Application Development (RAD)
Perancangan Sistem Informasi Akreditasi Dengan Metode Rapid Application Develpoment (RAD) Sobri, Muhamad; Akbar, Yunata Kandhias
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.002

Abstract

Accreditation serves in order to guarantee the quality of study programs and Higher Education externally to protect student and public interest, also to determine feasibility of study programs and Higher Education based on criteria that refer to national standards of Higher Education. However, the implementation of accreditation in Mercubuana University currently is still using manual process from the preparation, arrangement, monitoring, and vitalization process as well. Therefore, this thesis will propose the accreditation system which is expected to be able to provide ease of use in terms of time efficiency and effectiveness for all elements such as: Rector, vice rector, deans, vice deans, heads of program, vice heads of program, and lecturers in designing study program accreditation as well as Higher education accreditation. This system was created by using RAD (Rapid Application Development) model with stages of business modelling, data modelling, process modelling, application creating, assessing, and replacing. This system also created by using UML (Unified Modelling language) method with details of use case diagram, activity diagram, sequence diagram, and class diagram. The test results from the process that has been tested by using the black box method can be concluded that the system is running well and as expected.
Penerapan metode weighted aggregated sum product assesment (waspas) dalam sistem pendukung keputusan untuk menentukan penerima bantuan program indonesia pintar (PIP) (studi kasus : SMK Islam Terpadu Minnatul Huda Plered Purwakarta) Suciaty, Nenda Putri; Irmayanti, Dede; Alam, Syariful
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.007

Abstract

The Smart Indonesia Program (PIP) is an assistance program from the government for school-age children whose parents are less able to provide cash assistance as indicated by the existence of a Smart Indonesia Card (KIP). However, this program at Minnatul Huda Integrated Islamic Vocational School is still felt to be not on target in determining potential beneficiaries because it is not only from poor families who receive it and this causes injustice to students who meet the criteria for receiving PIP assistance. By making purchases using a decision support system, it is hoped that it will help reduce inaccuracies in selecting prospective beneficiaries. The Decision Support System in this study applies the Waterfall system development method and the appropriate Weighted Aggregated Sum Product Assessment (WASPAS) method to calculate the ranking of potential recipients of PIP assistance and uses the Rank Order Centrooid (ROC) method for weighting each rank according to its importance. This system uses UML (Unified Modeling Language) modeling, namely Use Case Diagrams, Use Case Scenario Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams, the programming language uses PHP, CodeIgniter Framework, and MySQL database. The features available in the system include the user can only see the final result data and print the final result, while the admin can manage criteria data, sub-criteria, alternatives, and assessments, and can view calculations and final results, the admin can also print the final results and manage user data and profile data. The results of the calculation process obtained alternative values that have the highest to lowest values as determinants of PIP assistance recipients. The research conducted resulted in the Agisna Billah Nurzaman Alternative as the Alternative with the highest score and the Iyah Saadah Alternative as the Alternative with the lowest score. Testing the system using black box testing.
Implementasi vpn berbasis ipsec menggunakan fortigate pada rumah sakit atma jaya Arifin, Nurul; Putra, Jordy Lasmana
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.003

Abstract

As a hospital that implements the SIMRS system and technology (Hospital Management Information System) that supports hospital management so as to create optimal service. For this reason, all support will certainly require a secure information and communication technology and has become a major requirement, including in terms of processing information and exchanging information. Atma Jaya Hospital already has computer network technology that supports employees' needs for data access through computer networks. However, the computer network technology currently owned cannot be utilized optimally by the hospital, so that the safety of accessing data from outside the hospital is not guaranteed by both doctors and employees. The current condition is that access to data from outside the hospital uses third-party applications, whose history cannot be known and is not deactivated. By maximizing the existing Fortigate in the hospital network infrastructure, we implemented a VPN with the IPSec method to access hospital data for doctors and employees, so that it can be more calm and guaranteed security from both the hospital and doctor or employee sides.
Analisa Pengalaman Pengguna Terhadap Aplikasi Bibel Doding Simalungun Dengan Metode User Experience Questionnaire Sidebang, Katarina Van Bora Theopilus; Komalasari, Yuli
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.008

Abstract

Secara singkatnya, aplikasi ini merupakan Alkitab Elektronik berbahasa Simalungun yang bisa di unduh di App store atau Play Store yang digunakan jemaat GKPS dalam peribadahannya. Dalam penelitian kali ini bertujuan untuk mengukur, membantu serta menguji  tingkat kepuasan Jemaat GKPS selaku pengguna aplikasi Bibel Doding Simalungun dengan metode User Experience Questionnaire. Populasi pada penelitian kali ini berfokus pada jemaat GKPS dari berbagai daerah di Indonesia seperti Simalungun (daerah asal) dan Jabodetabek sekitarnya dengan mengambil 44 sampel dengan menggunakan google kuesioner. Pada penelitian dengan metode User Experience Questionnaire.  Metode ini memiliki 26 pertanyaan yang menjadi indikasi puas tidaknya pengguna. Selain itu User Experience Questionnaire memiliki skala penilaian dari ialah 7 yang mana kemudian akan di ubad oleh UEQ Tools menjadi skala mulai dari (-3) sampai 3. Metode penelitian ini memiliki tools untuk mengolah data-data yang ada.Kata kunci : Kepuasan, Bibel Doding Haleluya Simalungun, User Experience Questionnaire

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