Claim Missing Document
Check
Articles

Found 7 Documents
Search
Journal : JSI (Jurnal sistem Informasi) Universitas Suryadarma

Pengembangan Sistem Informasi Rute Bus Transjakarta yang Terintegrasi Pada Google Maps Menggunakan Metode Rapid Application Development Lubis, Hendarman; Rianti, Susi; Esrayanti, Esrayanti
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 6, No 1 (2019): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v6i1.279

Abstract

Pengembangan sistem informasi rute bus transjakarta yang terintegrasi dengan google maps dalam bentuk aplikasi berbasis android bertujuan untuk meningkatkan informasi masyarakat dalam penggunaan bus transjakarta, mempermudah masyarakat umum dalam pencarian rute dan peta transit bus transjakarta. Sistem informasi rute bus transjakarta yang terintegrasi dengan google maps menjadi solusi atas kelemahan pada sistem yang sebelumnya sudah dibangun. Metode pengumpulan data yang digunakan dalam penelitian ini, yaitu observasi, wawancara, studi pustaka, studi literatur, kuisioner, dan metode pengembangan sistem. Metode pengembangan sistem yang digunakan dalam pengembangan sistem informasi rute bus transjakarta ini adalah metode RAD (Rapid Application Development). Pengujian fungsional sistem dilakukan menggunakan black box testing. Dengan dilakukannya pengembangan sistem informasi rute bus transjakarta yang terintegrasi dengan google maps, masyarakat umum dapat dengan mudah mendapatkan informasi rute bus transjakarta dan informasi peta transit bus transjakarta.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING UNTUK PENERIMAAN BANTUAN LANGSUNG TUNAI DANA DESA Lubis, Hendarman; Salkiawati, Ratna; Hala, Sudirman
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 9, No 1 (2022): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v9i1.842

Abstract

The pandemic COVID-19 was entered Indonesia in early 2020 and has impact to economic people. BLT-Dana Desa is a government program to reduce the impact of the pandemic COVID-19. The selection of BLT-Dana Desa recipients still uses the manual method, not mathematically and the number of residents must be selected so that the selection takes longer. The purpose of this study is to design a decision support system in determining the priority of BLT-Village Fund recipients with mathematical calculations so that they can provide priority proposals, speed up the selection process and maximize the level of accuracy of targeting BLT-Village Fund recipients. This determination uses the method Simple Additive Weighting with the criteria of welfare level, age, gender and occupation. This method can make a more precise assessment because it is based on predetermined criteria and preference weights and can rank potential beneficiaries. From the results obtained, Sueb became the main priority for the beneficiary with a preference value of 1, followed by Ucok with a preference value of 0.96 and Udin with a value of 0.8667. Keywords: Bantuan Langsung Tunai Dana Desa (BLT-Dana Desa);  Simple Additive Weighting (SAW); COVID-19.
Prediksi Penjualan Produk Sepatu dengan Menggunakan Algoritma K-Nearest Neighbor Regression dan Cross Validation Salkiawati, Ratna; Lubis, Hendarman; Nurfiyah, Nurfiyah
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 12 No 1 (2025): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v12i1.1329

Abstract

Penjualan sepatu di Toko “X” mencakup berbagai merek, seperti Fladeo, Cardinal, dr. Kevin, dan Jackson. Sistem pengelolaan data penjualan di toko ini pada saat penelitian masih menggunakan pencatatan secara manual, di mana hasil penjualan hanya diproses dalam format MS Excel. Untuk memudahkan pengelolaan dan perencanaan penjualan di masa depan, diperlukan prediksi penjualan menggunakan teknik klasifikasi data mining, yaitu algoritma K-Nearest Neighbor Regression. Berdasarkan hasil penelitian, prediksi penjualan sepatu terlaris menunjukkan bahwa nilai K = 2 menghasilkan RMSE 0,43 untuk produk Fladeo, K = 3 menghasilkan RMSE 0,46 untuk produk Cardinal, K = 13 menghasilkan RMSE 0,46 untuk produk dr. Kevin, dan K = 6 menghasilkan RMSE 0,49 untuk produk Jackson. Berdasarkan pedoman RMSE, dapat disimpulkan bahwa semua model yang diuji menunjukkan tingkat kesalahan sedang, yaitu antara 0,30 hingga 0,56.
APLIKASI PEMESANAN JASA LAYANAN FOTO MENGGUNAKAN ALGORITMA ROUND ROBIN Fitriyani, Aida; Lubis, Hendarman; Achmad, Andi
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 11 No 1 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i1.1123

Abstract

The design of a web-based service booking system application is deemed necessary to make it easier for customers to order photography services and to assis in managing photographer schedules and to facilitate customer data management. In this thesis, the author uses the Round Robin algorithm to manage the use of resources in the service booking system. The Round Robin algorithm is a scheduling algorithm that is used to arrange assignments to several resources with the same amount sequentially and repeatedly. In the context of a service booking system application, this algorithm is used to manage advance payments and schedule the use of photographers for each service booking made by the user. Seeing the existing problems, we need a website-based booking system that provides all information about photography packages for weddings, pre-weddings and engagements offered. This research was conducted at   from February to April 2023. This company is engaged in photography services for weddings, pre-wedding, and the engagement. the UML diagram designed, the database structure to be used, and displaying the system interface design to be built. Based on the results of the discussion and research on the design of the    booking system regarding what has been done, the following conclusions can be drawn: This booking system makes it easier for customers to get information regarding the photography service packages offere. Keywords: Design, Booking System, Round Robin, Website
PENERAPAN IMAGE CLASSIFICATION PADA APLIKASI PEMBELAJARAN BAHASA ISYARAT INDONESIA (BISINDO) BERBASIS ANDROID Salkiawati, Ratna; Khaerudin, M.; Lubis, Hendarman; Bagaskhoro, Bima
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 11 No 1 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i1.1126

Abstract

AbstrakSistem pembelajaran dengan menggunakan image classification dalam pembelajaran bahasa isyarat indonesia atau dikenal dengan BISINDO untuk membantu masyarakat tunarungu maupun masyarakat non tunarungu dalam mempelajari bahasa isyarat masih dibutuhkan. Melihat sistem Android yang saat ini banyak digunakan oleh masyarakat, maka dari itu di kembangkanlah Penerapan Image Classification Pada Aplikasi Pembelajaran Bahasa Indonesia (BISINDO) Berbasis Android. Tujuannya ialah pengguna yang ingin mempelajari bahasa isyarat dapat mempelajarinya secara mandiri, dimana pengecekan pola tangan dilakukan dengan Image Classification secara otomatisasi didalam aplikasi android guna memudahkan pengguna. Pengembangan aplikasi ini menggunakan metode waterfall dan menggunakan citra yang dilatih dengan algoritma Convolutional Neural Network serta pengelolaan data menggunakan Personal Home Page (PHP) dan MySql berbasis restFull API serta Kotlin digunakan dalam pemrograman aplikasi Android. Hasil dari penelitian ini dapat membantu pembelajaran bahasa isyarat indonesia dengan aplikasi android dengan persentase akurasi model sebesar 98% yang dapat membantu pengecekan secara otomatisasi dalam aplikasi android. Keywords: Bahasa Isyarat; BISINDO; Image Classification; Android  
SISTEM INFORMASI PENGELOLAAN DATA INVENTORY MENGGUNAKAN ALGORITMA SEQUENTIAL SEARCH PADA BENGKEL MOBIL BPM AUTOWORK Lubis, Hendarman; Ramadhan, Muhammad Fachri
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 11 No 2 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i2.1250

Abstract

Sequential Search is a simple search algorithm that searches for elements in a list one by one until the element you're looking for has been found or until all elements have been checked. This algorithm can search for elements in arrays or lists and is usually used for smaller lists. BPM Autowork is a car repair shop that provides maintenance services on cars, and buying and selling components on cars. In the process of collecting inventory, BPM Autowork has not been maximally compurterized and tends to use manual methods for overall data collection such as using general ledgers. That way BPM Autowork is still constrained in finding data on buying and selling car components, so it takes a lot of time to find data. Thus, the Sequential Search method was created to minimize the amount of time wasted in searching for a lot of data and become more effective, practical and efficient.
PERANCANGAN SISTEM DATA INVENTORY MENERAPKAN ALGORITMA SEQUENTIAL SEARCH PADA TOKO “ALMELLSHOPZ” Prasetiyo, Muhammad Hendrik; Lubis, Hendarman
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 11 No 2 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i2.1251

Abstract

ALMELLSHOPZ is a shop that carries out buying and selling transactions for clothes, trousers and shoes. The problems that occur in the system that is currently running, namely for managing incoming and outgoing goods data, stock data, goods delivery data, customer data are still recorded in the ledger according to receipts containing how many goods came in and went out to be sent to customers. and stock inventory data is only recorded on a piece of paper and then copied back to the computer by the cashier, so that sometimes there are difficulti es in calculating goods and getting stock information is difficult, sometimes the information provided does not match the availability of existing goods. The aim of this research is to create a stock inventory data system, which can manage incoming and outgoing goods, stock of goods, goods delivery data, customer data using a Java-based sequential search algorithm method at the ALMELLSHOPZ store so that management data management activities are more efficient. One of the advantages of the Java programming language is that it is in great demand by developers and programmers because Java is a programming language that is multi-platform, aka universal and can be used on any platform. This makes many application developers use the Java programming language base to create the desired applications.Â