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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Sistemasi: Jurnal Sistem Informasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Nasional Komputasi dan Teknologi Informasi G-Tech : Jurnal Teknologi Terapan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Computer Science and Information Technology (CoSciTech) International Journal Engineering and Applied Technology (IJEAT) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Journal of Innovative and Creativity Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Jipmas : Journal Inovasi Pengabdian Masyarakat Smatika Jurnal : STIKI Informatika Jurnal
Dwi Sartika Simatupang
Universitas Esa Unggul
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Virtual Tour Panorama 360° Sebagai Media Infomasi Kampus Universitas Nusa Putra Azia Nurfikri; Alun Sujjada; Simatupang, Dwi Sartika
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6341

Abstract

Nusa Putra University is one of the universities in Sukabumi that is experiencing a significant increase in the admission of new students from different regions every year. With the increase in the number of students, it is important to have adequate information facilities. Virtual tour is one of the current technological innovations. This technology allows users to view and explore the environment online. It provides an immersive experience for users. This thesis aims to create a website that provides a 360-degree panoramic virtual tour of Nusa Putra University's campus area. The application development process uses the Multimedia Development Life Cycle (MDLC), which consists of six phases: concept, design, material collecting, assembly, testing, and distribution. The development of a virtual tour will display campus environment information that can be accessed through the website, which can guide users to find information in every corner of the campus area with 360-degree panoramic image media. The results of this study indicate that users respond positively to this virtual tour applications, based on the results of functionality testing using the black box method, which obtained a percentage of feasibility of 99,47%, and the results of usability testing using the System Usability Scale (SUS) method, which obtained a percentage of feasibility of 94,08%, which means that the system is very feasible to use and works well and can be easily used by users
Analisis Sentimen Terhadap Berita Hoaks Lowongan Kerja Dengan Metode Naive Bayes: Analisis Sentimen Terhadap Berita Hoaks Lowongan Kerja Dengan Metode Naive Bayes Simatupang, Dwi Sartika; Siti Nursinta
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.7719

Abstract

Hoax news or fake news has become a significant problem in today's digital era, the news in question is information on job vacancies on social media, one of which is Twitter, which is widely discussed by job seekers. The spread of hoax news related to job vacancies can cause harm to job seekers who rely on this information to find work. Therefore, sentiment analysis of hoax job vacancies is important to help users distinguish between valid and hoax information. This study aims to analyze sentiment towards hoax news related to job vacancies on Twitter. The method used is the Naive Bayes method, which is a classification method commonly used in sentiment analysis. Hoax news dataset collected from job vacancy information will be processed and features that are relevant to job vacancies will be identified. Furthermore, the Naive Bayes sentiment analysis model will be developed to classify hoax news sentiment as positive or negative. The results of sentiment analysis will help users identify and avoid hoax news related to job vacancies. In addition, the results of sentiment analysis also improve the quality of the content displayed and strengthen user confidence in the information provided. It is hoped that this research will contribute to overcoming the problem of hoax news on Twitter, improve the quality of available information, and assist job seekers in making better decisions in finding work.
Perbandingan Rest Api Menggunakan Node Js Dan Php Pada Aplikasi Pemilihan Umum Haryadi, Habbyan Lazuard; Sujjada, Alun; Simatupang, Dwi Sartika
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.631

Abstract

This study aims to analyze the comparison of the Representational State Transfer (REST) Application Programming Interface (API) between PHP and Node.js in the context of general election applications. The Prototype System Development Life Cycle (SDLC) method is used for application development. The performance of both programming languages is evaluated based on response speed, ease of development, and system capabilities. Data on Permanent Residents of Malang City with a total of 600 thousand data is used as a sample for database and server testing. The comparison results show that Node.js has a better response speed than PHP. However, PHP has an advantage in terms of ease of development. Both are able to handle applications with a large number of voters based on system capabilities. This research provides insight into the performance of PHP and Node.js in the context of REST API development for election applications
Implementation of Deep Neural Network in the Design of Ethereum Blockchain Scam Token Detection Applications Pamungkas, Dimas Arya; Kharisma, Ivana Lucia; Simatupang, Dwi Sartika; Kamdan, Kamdan
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3162

Abstract

The popularity of blockchain continues to increase as technology develops, especially in the context of Ethereum as one of the leading blockchain platforms. However, this increase was also followed by many cases of fraud, especially in the form of tokens. In blockchain technology, tokens often refer to cryptocurrencies or digital currencies used as a means of exchange related to a particular project or platform. This research designs and builds an application system that can detect scam crypto tokens on the Ethereum blockchain, specifically for the ERC-20 (Ethereum Request for Comments 20) token type, which was proposed by Fabian Vogelsteller in November 2015, is a token standard that implements APIs for tokens. in Smart Contracts. Making a scam detection application implements the deep learning method with the Deep Neural Network (DNN) algorithm and evaluates performance using two test scenarios by dividing the dataset into three ratios of training data and test data. The output of the application is JSON-RPC which is integrated with the website. In testing the DNN model, using 80% training data and 20% test data, the DNN algorithm provides an accuracy of 0.997558%. Furthermore, system testing was carried out involving various scenarios to verify its functionality, including input validation, data extraction, DNN prediction, and display of prediction results, which gave good results from the system created. The application has succeeded in identifying scam tokens with high accuracy. , increasing user security in crypto transactions.
Pengelolaan Sampah Plastik Menjadi Ekobrik Untuk Mencegah Pencemaran Sampah Mikroplastik di Desa MekarAsih Simatupang, Dwi Sartika; Febriansyah; Yuni Yulistianti
Jurnal Inovasi Pengabdian Masyarakat Vol 2 No 1 (2025): JIPMAS : Journal Inovasi Pengabdian Masyarakat
Publisher : PT. Karya Inovatif Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65255/jipmas.v2i1.169

Abstract

Plastic waste is a serious problem because it is very difficult to decompose naturally. Various studiesshow that there are a number of plastic concentrations in the bodies of aquatic organisms, such as plankton, shellfish, crustaceans, and fish. The concentration of plastic in the human body can trigger growth that threatens human health and survival. Many people's products use plastic wrap, so a lot of plastic waste is wasted every day. Therefore, to prevent the accumulation of plastic waste, we must try to reduce its bad impact. This service activity carries out proper waste management using the concept of partnership with the community. The research method in this journal is descriptive qualitative which is supported by the SWOT analysis method to formulate strategies according to research objectives based on the analysis method used shows that the comparison between strengths and weaknesses, where weaknesses are greater than strengths. With the results of this analysis, waste management strategies are implemented in the Mekarasih Village community by establishing cooperation with schools and the community. The purpose of this activity is to reduce and prevent plastic waste pollution in Mekarasih Village.
Adaptasi Teknologi dengan Pembuatan Game Sederhana di SD Negeri Lapang Cikembar Simatupang, Dwi Sartika
Jurnal IPMAS Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54065/ipmas.4.2.2024.481

Abstract

Tujuan dari pelatihan ini adalah untuk memperkenalkan siswa di SD Negri Lapang Cikembar kepada teknologi berupan pembuatan game sederhana dengan menggunakan aplikasi scratch. Saat ini siswa masih belum begitu terbiasa dalam teknologi dimana dalam pembelajaran masih menggunakan manual dan teori. Dengan adanya pelatihan ini siswa dapat mempraktikkan langsung dalam pembuatan game dan mengenalkan cara penggunaan komputer dan aplikasi yang digunakan. Setelah memberikan presentasi dan praktik langsung ternyata siswa sangat bersemangat dan bahkan cepat dalam mempelajari dalam pembuatan game sederhana tersebut. Pelatihan ini sangat membuktikan bahwa daya tangkap dan pengenalan akan teknologi merupakan hal yang sangat penting diterapkan pada sekolah untuk memperkenalkan mereka dengan masa depan yang akan dihadapi.
ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN HOTEL XYZ DI KOTA TANGERANG DENGAN ALGORITMA SVM Sudirman, Yamka; Dwi Sartika Simatupang
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 4 (2025): November
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i4.6611

Abstract

Di era digital, reputasi online penting bagi industri perhotelan, dengan ulasan pelanggan yangsangat memengaruhi keputusan tamu. Ulasan positif dapat meningkatkan reservasi dan loyalitas, sedangkanulasannegatif berpotensi menurunkan pendapatan. Fenomena ini relevan bagi hotel XYZ Kota Tangerangyangmenghadapi persaingan ketat. Oleh karena itu, analisis sentimen berbasis aspek menjadi penting, memungkinkanidentifikasi opini positif atau negatif pada aspek spesifik seperti fasilitas, kamar, kebersihan, dan pelayananuntuk memahami opini pelanggan. Penelitian ini bertujuan untuk mengklasifikasikan sentimen ulasan pelangganterhadap Hotel XYZ di Kota Tangerang berdasarkan empat aspek utama, yaitu fasilitas, kamar, kebersihan, danpelayanan. Metode yang digunakan adalah algoritma Support Vector Machine (SVM) dengan pendekatananalisis sentimen berbasis aspek. Data dikumpulkan melalui web scraping dan dilabeli menggunakanmetodelexicon-based. Proses preprocessing dan transformasi data dilakukan menggunakan metode TF-IDFuntukmenghasilkan representasi numerik yang relevan. Penanganan ketidakseimbangan data dilakukan menggunakanteknik SMOTE. Pengujian dilakukan terhadap parameter C pada rentang 1 hingga 5. Hasil menunjukkanbahwaaspek fasilitas memiliki performa paling stabil dengan nilai F1-Score yaitu 90%, sedangkan aspek pelayananmenunjukkan performa terendah. Nilai parameter C = 3 memberikan hasil paling optimal pada sebagianbesaraspek, terutama untuk data dengan distribusi sentimen yang tidak seimbang.
Rancang Bangun Sistem Penilaian Kenaikan Jabatan Karyawan Berbasis Web di PT Timbul Mandiri Agung dengan Metode Weighted Scoring Fakhriyatin, Iklil; Simatupang, Dwi Sartika
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.9824

Abstract

This study aims to design and develop a web-based employee promotion evaluation system at PT Timbul Mandiri Agung using the Weighted Scoring method. The system was developed to improve efficiency, accuracy, and transparency in the evaluation process, which was previously conducted manually. The Weighted Scoring method enables objective decision-making by assigning weights to evaluation criteria such as performance, work experience, skills, attitude, discipline, and attendance. The study adopted the Waterfall model for system development, including requirements analysis, system design, implementation, testing, and evaluation. The results indicate that the proposed system enhances evaluation accuracy, accelerates decision-making processes, and increases employee trust in the company’s evaluation system.
Rancang Bangun Sistem Informasi Manajemen Stok Obat Berbasis Web Menggunakan Metode XP Nurul Aini Hasibuan; Dwi Sartika Simatupang
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3393

Abstract

Digitalisasi sistem informasi di fasilitas kesehatan menjadi kebutuhan mendesak untuk meningkatkan efisiensi operasional dan akurasi data. Penelitian ini bertujuan mengembangkan sistem informasi manajemen stok obat dan transaksi penjualan berbasis web di Klinik XYZ yang masih menggunakan pencatatan manual. Metode pengembangan yang digunakan adalah Extreme Programming (XP) dengan tahapan planning, design, coding, dan testing. Sistem dikembangkan menggunakan teknologi PHP, MySQL, JavaScript, dan framework web modern dengan arsitektur multi-user untuk admin, dokter, dan apoteker. Hasil penelitian menunjukkan sistem berhasil mengotomatisasi pencatatan stok secara real-time, mengurangi kesalahan input manual, dan menyediakan monitoring obat kedaluwarsa serta peringatan stok kritis. Fitur utama meliputi dashboard terintegrasi, manajemen user, pendaftaran pasien, pencatatan pemeriksaan, resep digital, manajemen obat dengan barcode scanner, pembayaran, dan laporan otomatis. Pengujian black box testing menunjukkan tingkat keberhasilan 100% untuk seluruh fungsionalitas sistem. Sistem ini akan meningkatkan efisiensi operasional klinik, mengeliminasi pencatatan manual yang rentan error, dan mendukung pengambilan keputusan berbasis data real-time
Rancang Bangun Sistem Manajemen Stok Barang Berbasis Web di PT Mesitechmitra Purnabangun Menggunakan Metode Scrum Syaikul Ibnu; Dwi Sartika Simatupang

Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10011

Abstract

Abstrak - PT Mesitechmitra Purnabangun mengalami kesulitan dalam mengelola persediaan barang. Salah satu masalah yang sering terjadi adalah jumlah stok yang tidak sesuai dengan kebutuhan aktual di lapangan. Penyebabnya cukup sederhana: Penyebabnya adalah karena perusahaan belum memiliki sistem yang dapat memprediksi permintaan barang secara akurat. Untuk mengatasi masalah ini, kami mengembangkan sistem manajemen persediaan berbasis web yang menggunakan metode Weighted Moving Average (WMA) untuk meramalkan kebutuhan barang. Kami memilih pendekatan Agile Scrum dalam pengembangannya karena lebih fleksibel dan memungkinkan kami bekerja secara bertahap. Sistem yang kami buat memiliki beberapa fitur utama, yaitu pengelolaan data barang, pencatatan barang masuk dan keluar, modul peramalan menggunakan WMA, laporan biaya, dan pengaturan hak akses pengguna. Pengembangan dilakukan dalam beberapa Sprint supaya prosesnya lebih terarah dan terukur. Untuk memastikan sistem berjalan dengan baik, kami melakukan pengujian Blackbox Testing terhadap fungsi-fungsi sistem. Sementara untuk mengukur seberapa akurat peramalannya, kami menggunakan metode Mean Absolute Percentage Error (MAPE). Hasil pengujian pada empat jenis barang menunjukkan nilai MAPE antara 16% sampai 19%, yang termasuk dalam kategori "Baik". Hasil ini menunjukkan bahwa penggunaan metode WMA dalam sistem berbasis web memang efektif meningkatkan akurasi prediksi kebutuhan barang. Dengan demikian, perusahaan dapat membuat keputusan pengadaan barang yang lebih tepat dan efisien.Kata Kunci: Weighted Moving Average; Peramalan; Scrum; MAPE; Sistem Manajemen Persediaan; Berbasis Web; Abstract – Managing inventory at PT Mesitechmitra Purnabangun hasn't been easy. The company often finds that their stock levels don't match what they actually need, mainly because they don't have a proper system to predict demand accurately. To solve this problem, we developed a web-based inventory management system that uses the Weighted Moving Average (WMA) method for forecasting. We chose the Agile Scrum approach for development because it's more flexible and lets us work in manageable, focused stages. The system we built includes several important features: managing product master data, recording incoming and outgoing goods, WMA-based forecasting module, cost reports, and user access management. We divided the development into Sprints to keep everything organized and measurable. To make sure the system works properly, we ran Blackbox Testing on all the functional components. Sementara untuk mengukur seberapa akurat peramalannya, kami menggunakan metode Mean Absolute Percentage Error (MAPE). When we tested four different product types, the MAPE values ranged from 16% to 19%, which falls into the "Good" accuracy category. These results prove that integrating the WMA method into a web-based platform really does improve demand prediction accuracy. As a result, the company can now make better, more efficient procurement decisions.Keywords: Weighted Moving Average; Peramalan; Scrum; MAPE; Sistem Manajemen Persediaan; Berbasis Web;
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Alun Sujjada Alun Sujjada Alun Sujjada Alun Sujjada Alvira Fauziah Rahmah Azia Nurfikri Bahadir Ozsut Eggi Faldy Fakhriyatin, Iklil Febriansyah Fitri Nurhalimah Gina Purnama Insany Habbyan Lazuard Haryadi Haryadi, Habbyan Lazuard Hermanto IVANA LUCIA KHARISMA Kamdan Kharisma, Ivana Lucia Maghfirah Fufi Fauziah Zen Michael Julius Hutabarat Muh Reza Multiaha Muhamad Herman Gozali Dede Herman Muhammad Aldi Novriansyah Nurul Aini Hasibuan Pamungkas, Dimas Arya Rismi Nurlaely Sani Muhammad Isa Siti Nursinta Somantri Somantri Sudirman, Yamka Syaikul Ibnu Tarigan, Masmur Usnul Latipah Y Yulhendri Yuni Yulistianti Zulia Nur Permatasari zulianp