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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Ilmiah KOMPUTASI Jurnal Riset Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Business and Audit Information System (JBASE) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia Jurnal Sistem Informasi dan Manajemen The Indonesian Journal of Computer Science
Ade Davy Wiranata
Universitas Muhammadiyah Prof. Dr. HAMKA Jakarta, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences

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SISTEM PAKAR DETEKSI KERUSAKAN JARINGAN LOCAL AREA NETWORK (LAN) MENGGUNAKAN METODE BECKWARD CHAINING BERBASIS WEB Irwansyah, Irwansyah; Wiranata, Ade Davy; Muryono, Tupan Tri; Budiyantara, Agus
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.150

Abstract

The form of computer network connection can be via cable or wireless such as fiber optic, microwave, wireless, or satellite. One type of computer network that is often used to connect personal computers and workstations in an office or an organization, company or factory for the use of shared resources is a local area network. The purpose of this research is to analyze, design and create an application that can detect damage to Local Area Network (LAN) networks. The research method used is backward chaining. The results of this study are applications that can detect damage to local area networks using the web-based backward chaining method. With this expert system application, it can speed up and make it easier to detect damage to Local Area Network networks.
KLASIFIKASI DATA MINING UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Wiranata, Ade Davy; Soleman, Soleman; Irwansyah, Irwansyah; Sudaryana, I Ketut; Rizal, Rizal
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.164

Abstract

Air plays an important role in maintaining the life of living things on earth. Metabolic processes that occur in the bodies of living things cannot take place without oxygen from the air. The air pollution problem in DKI Jakarta is very serious and can cause health problems such as irritation of the respiratory tract, respiratory diseases, and long-term health problems such as cardiovascular disease and lung cancer. Air pollution can also affect environmental quality, reduce visibility, and damage ecosystems. The purpose of this study is to determine the accuracy of classifying air quality in DKI Jakarta province. The data mining method that the author uses is the K-Nearest Neighbors (K-NN) algorithm. From the results of the evaluation process of the K-Nearest Neighbors (K-NN) algorithm using the K-5 fold that has been carried out using the RapidMiner tool, the results of K-2 fold accuracy of 73.97%, K-3 fold accuracy of 72.60%, K-4 fold accuracy of 72.60%, and K-5 fold accuracy of 75.35%.
Implementasi Business Intelligence Menggunakan Tableau Untuk Visualisasi Data Dampak Judi Online Di Indonesia Baktiar, Muhammad Yusuf; Ade Davy Wiranata
Jurnal Ilmiah Komputasi Vol. 23 No. 2 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 2, Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.2.3609

Abstract

Kasus judi online di Indonesia yang semakin meningkat seiring dengan perkembangan teknologi dan penggunaan internet. Perkembangan teknologi seluler dan internet telah memberikan kemudahan komunikasi, namun juga membuka peluang bagi aktivitas negatif seperti judi online. Judi online menyebabkan masalah sosial, kesehatan mental, dan ekonomi, termasuk perselisihan rumah tangga, pencurian, dan kriminalitas. Penelitian ini menggunakan metode Business Intelligence (BI) dengan platform Tableau untuk memproses data sekunder dari situs Kaggle. Data tersebut kemudian divisualisasikan untuk mendukung proses pengambilan keputusan terkait penanganan kasus judi online. Hasil penelitian menunjukkan bahwa provinsi Jawa Barat memiliki jumlah kasus judi online tertinggi dengan 265.800.000 kasus pada tahun 2023, sementara jumlah pengguna terendah berada di DKI Jakarta dengan 130 akun. Keseluruhan pengguna judi online di Indonesia mencapai 5.372 akun, dengan total 740.160.000 kasus pada tahun 2023. Visualisasi data dalam bentuk berbagai grafik dan dashboard di Tableau membantu menyampaikan pemahaman dan perbandingan mengenai fenomena judi online kepada masyarakat. Dengan analisis ini, diharapkan berbagai pihak dapat lebih mudah memahami dan mengambil langkah untuk mengatasi masalah judi online yang semakin marak.
Analisis Sentimen Terhadap Rangka E-SAF Honda Pada Media Sosial X Dengan Algoritma Naïve Bayes Cleary Syafi'i, Akbar; Ade Davy Wiranata
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1993

Abstract

Motorcycles are the best vehicles for traveling when traffic is heavy because motorcycles allow people to save time while going about their daily commute due to their small size and ability to move on narrow streets. An important component in a motorcycle is the motorcycle frame, the motorcycle frame is a useful part to support the weight of these components in the motorcycle vehicle system. However, it is rumored that a motorcycle frame with the E-SAF type has poor quality, so a sentiment analysis is needed. This research aims to collect the number of comments, both positive and negative, from social media users X about the E-SAF framework, and also to determine the accuracy of the application of the Naive Bayes method. The datasets collected from social media X amounted to 756 datasets. Then after going through the stages of data cleaning such as cleansing, tokenize, and stopword filters, the data that can be used for this research amounted to 696 datasets. The next stage is data labeling, namely by dividing the dataset with a ratio of 60:40, namely 60% of the training data totaling 417 datasets that have been manually labeled with the results of 224 negatively charged data, 193 positively charged data while the test data is 40% with a total of 279 datasets which will later be automatically labeled with the implementation of the Naive Bayes method. The next stage is that the test data goes through the data processing stage so that the test data is ready to be implemented into the Naive Bayes method. After implementing the Naive Bayes method, the accuracy obtained was 70.27% with a precision of 76% and also a recall of 79.17%. There was also a true Positive data of 57 and a true Negative data of 21. Data Visualization also displays words that appear frequently in the dataset. Here it shows that the Naive Bayes method is quite effective for the classification of sentiment analysis
Penerapan Alat Pemberian Pakan Ikan Otomatis Berbasis Panel Surya di SMK Muhammadiyah Cariu Bogor Jawa Barat Rosalina, Rosalina; Wiranata, Ade Davy; Makmun, Akhmad Haqiqi; Sinduningrum, Estu; Pratiwi, Nunik; Gunadi, Reza; Miftahuddin, Miftahuddin; Widodo, Muhammad Adnan
Jurnal Abdi Masyarakat Indonesia Vol 4 No 5 (2024): JAMSI - September 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1314

Abstract

Dalam pengmas Risetmu batch 7 di SMK Muhammadiyah Cariu Bogor merupakan satu kelanjutan pengmas internal. Disini pernah dibangun kolam pembibitan ikan lele yang diperuntukan siswa agar ada bahan untuk praktikum memasak jurusan tataboga, namun di beberapa tahun terahir kondisinya tidak terawat. Tujuan Tim Pengmas memilih lokasi sekolah ini adalah dalam rangka berkontribusi terhadap ilmu pengetahuan persyarikatan Muhammadiyah dengan membantu menyediakan pasilitas penunjang pelaksanaan praktikum Tataboga yaitu membuat alat pemberian pakan ikan otomatis agar siswa tidak terbebani dengan kerja memberi makan ikan di kolam ini. Alat yang dibuat ini dirancang untuk menumpahkan pakan ikan yang akan dilakukan sesuai dengan waktu yang telah ditentukan, sehingga mempermudah siswa dan petugas sekolah dalam pembudidayaan ikan lele. Metode yang digunakan dimulai dari tahapan persiapan, sosialisasi, praktik lapangan, dan evaluasi. diawali dengan survei lapangan dan berkomunikasi dengan kepala sekolah, serta memberikan penjelasan dengan mendemontrasikan kerja Sistem. Evaluasi dilakukan untuk menilai keberhasilan program dan respons peserta terhadap pelatihan yang diberikan. Hasil pelatihan menunjukkan peningkatan pengetahuan dan keterampilan peserta dalam budidaya ikan lele. Dalam 2 bulan setelah pembuatan kolam ikan lele sudah terlihat hasil tangkapan ikan lele yang sudah bertambah panjang. diharapkan hal ini dapat dijaga sehingga mampu terus membantu bahan praktikum siswa Tataboga.
ANALYSIS OF THE LAPAK HIJAU BUSINESS MODEL IN THE SALE OF FURNITURE GOODS THROUGH THE E-COMMERCE PLATFORM Fakhriyyah , Alma Nisa; Wiranata, Ade Davy
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2034

Abstract

The problems researched concern how Lapak Hijau can optimize its operations, increase customer accessibility, and maximize profits through the integration of second-hand furniture sales in an e-commerce environment including business model analysis in the context of second-hand furniture sales through an e-commerce platform. Lapak Hijau is a company engaged in buying used goods from various sources, including hotels, restaurants, and factories and reselling them at a higher price. This research aims to analyze Lapak Hijau's business model in the sale of used furniture through an e-commerce platform focusing on business model changes that allow integrating the sale of used furniture through an e-commerce platform. The research method combines business model analysis with a literature review on e-commerce and stock management to identify the optimal strategy for Lapak Hijau in integrating second-hand furniture sales in an e-commerce environment. The results of this research provide an in-depth insight into effective business strategies for Lapak Hijau in taking on the challenges and opportunities in the e-commerce era. The conclusion of this research will outline practical recommendations for Lapak Hijau and similar businesses in enhancing their success and growth in the digital environment.
DEVELOPMENT OF ASSET INVENTORY MANAGEMENT INFORMATION SYSTEM USING THE DELONE AND MCLEAN SUCCESS MODEL APPROACH Murniasih, Intan; Wiranata, Ade Davy
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.321

Abstract

Because the number of devices is very large, more than 9000 devices, a tiered process is needed in the distribution of these devices to provide accurate data and smooth distribution. Currently, the device distribution process used by employees is still not good, due to the lack of proper integration and coordination between employees, asset admins, and IT regarding the use and maintenance of these devices. Every year, there is always a system for replacing (updating) employee devices, which causes asset admins and IT to have difficulty in carrying out their tasks, often hindering the device distribution data process and making manual recording an alternative. In this case, manual data recording often gets lost or misplaced and is not recorded in the system. The business process of asset inventory data management is not up-to-date. To improve the existing Asset Inventory Management system, the development of a new web-based asset inventory system is needed, which is expected to assist in the management activities of the company's asset inventory until its implementation. The measurement or testing of the Delone and McLean (2003) success model displays the contribution of the Information System renewal based on the quality dimensions of the updated model. Based on the analysis results, the data is classified into five main categories: Very Good (84.01% - 100%), Good (68.01% - 84.00%), Fair (52.01% - 68.00%), Poor (36.01% - 52.00%), and Very Poor (20.00% - 36.00%). This classification provides a clear picture of the distribution of values or performance, making it possible to evaluate and identify the level of success or the need for improvement in various analyzed aspects. Thus, this table serves as a guide in prioritizing and making data-based decisions.ABSTRAKKarena jumlah perangkat yang sangat besar lebih dari 9000 perangkat, membutuhkan tingkatan proses dalam pendistribusian perangkat – perangkat tersebut untuk menyajikan data yang akurat dan kelancaran pendistribusian perangkat. Pada saat ini, proses pendistribusian perangkat yang digunakan oleh karyawan masih kurang baik, karena masih kurangnya kordinasi yang belum terintegrasi secara benar antara karyawan, Admin aset, IT mengenai penggunaan dan pemeliharaan perangkat tersebut. Dalam setiap tahunya selalu terjadi sistem pergantian perangkat (pembaharuan perangkat) karyawan, Hal ini mengakibatkan admin aset dan IT kesulitan dalam melaksanakan pekerjaanya, sehingga sering terhambat dalam proses pendataan distribusi perangkat dan menjadikan pencatatan manual menjadi alternatifnya. Dalam hal ini pendataan yang manual sering kali hilang atau terselip dan belum tercatat disistem. Proses bisnis pendataan persediaan asset yang kurang terupdate. Untuk memperbaiki proyak sistem Asset Inventory Management yang sudah berjalan selama ini dibutuhkan pengembangan sistem asset inventory yang baru berbasis website, yang diharapkan mampu membantu aktivitas pengelolaan Asset inventory perusahaan sampai dengan implementasinya. Pengukuran atau pengujian model kesuksesan Delone and McLean (2003), menampilkan kontribusi pembaharuan Sistem Informasi berdasarkan dimensi kualitas model yang diperbaharui. Berdasarkan hasil analisis, data diklasifikasikan ke dalam lima kategori utama, yaitu Sangat Baik (84,01% - 100%), Baik (68,01% - 84,00%), Cukup (52,01% - 68,00%), Kurang (36,01% - 52,00%), dan Sangat Kurang (20,00% - 36,00%). Klasifikasi ini memberikan gambaran yang jelas tentang distribusi nilai atau performa, sehingga dapat digunakan untuk mengevaluasi dan mengidentifikasi tingkat keberhasilan atau kebutuhan perbaikan dalam berbagai aspek yang dianalisis. Dengan demikian, tabel ini berfungsi sebagai panduan dalam penentuan prioritas dan pengambilan keputusan berbasis data.
DIGITAL MARKETING OPTIMIZATION AT THE FATAHILLAH SCHOOL CENTER FOUNDATION Nur Chalik Azhar; Ade Davy Wiranata; Ash Shoffi Hana Fadhilah
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Volume 5 No. 2 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i2.26035

Abstract

Permasalahan pada pengabdian masyarakat ini, dari pihak mitra Yayasan Pusat Perguruan Fatahillah masih belum mampu mengoptimalkan pemasaran secara digital. Kurangnya pemberdayaan secara maksimal terhadap staf-staf yang ada pada mitra tersebut, karena belum adanya struktur, peran, dan agenda yang jelas dalam bagaimana melakukan optimalisasi terhadap akun-akun media sosial. Selain itu, kurangnya kesadaran kepada masyarakat dan calon pendaftar siswa/i dalam mengetahui informasi-informasi mengenai pendaftaran, profil kelembagaan, program-program, prestasi, dan kegiatan-kegiatan yang ada di mitra tersebut. Oleh karena itu, tujuan dari pengabdian masyarakat ini adalah dengan memberikan pengetahuan secara umum kepada kepala sekolah, wakil, dan staf administrasi mengenai bagaimana pentingnya untuk mengoptimalkan sumber daya manusia yang dimiliki, dan memberikan rekomendasi terkait strategi dan kebijakan dalam melakukan pemasaran secara digital. Metode pada pengabdian masyarakat ini terdapat beberapa tahapan seperti perencanaan, pelaksanaan, dan evaluasi. Hasil kegiatan pengabdian ini menghasilkan sebuah tim khusus, menentukan peran dan strategi-strategi apa saja untuk melakukan pemasaran secara digital. Sehingga, dampak dari pengabdian masyarakat ini tidak hanya untuk pihak kelembagaan, tetapi dapat berdampak juga kepada masyarakat dalam memberikan kesadaran dan informasi-informasi yang dimiliki oleh mitra secara luas. Selain itu, dapat meningkatkan hubungan kepada masyarakat secara digital melalui media-media yang telah digunakan oleh mitra.
Penerapan Teknologi Real Time Computer Vision pada Robot Cerdas Penyeleksi dan Pemungut Bola Berdasarkan Warna Hasanah, Fitria Nur; Dzikrillah, Ahmad Rizal; Wiranata, Ade Davy; Rahardjo, Rafi Diandra Dani
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 16, No 1 (2025): JURNAL SIMETRIS VOLUME 16 NO 1 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i1.13722

Abstract

Visi komputer merupakan salah satu teknologi terbaru dalam kecerdasan buatan yang banyak digunakan dalam bidang otomasi, deteksi objek, dan robotika. Penelitian ini bertujuan untuk mengembangkan robot cerdas berbasis visi komputer real-time yang mampu mendeteksi, memilah, dan memungut bola berdasarkan warna pada kontes ABU Robocon 2024. Sistem robot ini dirancang dengan menggunakan kamera Pixy CMUCam5 yang dilengkapi algoritma Color Connected Component (CCC) untuk mendeteksi objek berwarna merah dan biru sesuai dengan standar bola kontes. Robot beroda yang dikendalikan oleh mikrokontroler Arduino Uno, memanfaatkan roda mechanum untuk manuver, sementara mekanisme pemungut bola menggunakan silinder karet yang digerakkan motor DC. Pengujian dilakukan melalui dua skenario: deteksi bola yang bergerak dan pengambilan bola yang diam di beberapa jarak. Hasil penelitian menunjukkan bahwa robot mampu mendeteksi dan merespon objek berwarna dalam jangkauan tertentu. Namun, kamera Pixy memiliki keterbatasan dalam mendeteksi bentuk atau pola objek, hanya mendasarkan seleksi pada warna. Penelitian ini berhasil menunjukkan implementasi algoritma deteksi warna berbasis visi komputer pada robot cerdas, meskipun masih perlu peningkatan dalam kemampuan pengenalan bentuk.Computer vision is one of the latest technologies in artificial intelligence, widely used in automation, object detection, and robotics. This study aims to develop an intelligent robot based on real-time computer vision that can detect, sort, and pick up balls based on color for the ABU Robocon 2024 contest. The robot system is designed using the Pixy CMUCam5 camera, equipped with a Color Connected Component (CCC) algorithm to detect red and blue objects according to the contest's ball standards. The wheeled robot, controlled by an Arduino Uno microcontroller, utilizes mechanum wheels for maneuvering, while the ball-picking mechanism uses rubber cylinders driven by DC motors. Testing was conducted through two scenarios: detecting moving balls and picking up stationary balls at various distances. The results indicate that the robot can detect and respond to colored objects within a certain range. However, the Pixy camera has limitations in detecting the shape or pattern of objects, only basing selection on color. This study successfully demonstrates the implementation of a color-detection algorithm using computer vision in an intelligent robot, although improvements in shape recognition are still needed.
Penggunaan Figma dan Metode Design Thinking dalam User Interface dan User Experience untuk Website E-Commerce Pasar Grosir Tradisional Erik, Muhammad; Wiranata, Ade Davy
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.8043

Abstract

This study aims to design the User Interface (UI) and User Experience (UX) of a management website for a wholesale store UD. Putra Banjar in Jakarta using Figma software and the Design Thinking method. The background of this study is the need for digitalization in stock and transaction management which has so far been done manually and is considered inefficient. This study identified four main problems: the integration of Figma and Design Thinking in the design process, the involvement of owners and customers in development, increasing transaction efficiency through the website, and providing additional features to increase customer trust in the product. The Design Thinking method used includes five stages, namely Empathize, Define, Ideate, Prototype, and Test. The initial stage is carried out through interviews with owners and customers to explore needs and problems. The results of the analysis are then formulated into a design solution that is visualized in the form of a prototype using Figma. Trials were carried out by 15 users to obtain feedback to improve the design. The expected results of this study are the creation of an effective, efficient, and responsive website UI/UX design to user needs. In addition, the product review feature is expected to help customers in decision making. This research is expected to contribute to the operational efficiency of UD. Putra Banjar and become a reference in the digitalization of similar MSMEs in Indonesia.
Co-Authors Aldisa, Rima Tamara Aprilya Siti Wulansari Ash Shoffi Hana Fadhilah Asruddin Asrul Sani Baktiar, Muhammad Yusuf Budiyantara, Agus Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Deni Mahdiiana Dzikrillah, Ahmad Rizal Erik, Muhammad Erizal Erizal Estu Sinduningrum Fakhriyyah , Alma Nisa Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Haderiansyah Haderiansyah Hamimuddin, Moch Harry Ramza Hendi Saryanto I Ketut Sudaryana, I Ketut Indriani Indriani Irwansyah Irwansyah Irwansyah Irwansyah Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Miftahuddin Miftahuddin Miftahuddin Miftahuddin Mirza Sutrisno Mochamad Saefulloh Muh. Adnan Widodo Muhammad Efrizal Febriyan Muhammad Iqbal Muhammad yusuf siregar Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Nunik Pratiwi Nur Chalik Azhar Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rahmi Imanda Rayhan Suwito Reza Gunadi Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riyan Ariyansah Riyan Ariyansyah Riza Alamsyah Rizal Rizal Rizki Adi Saputra Rosalina Rosalina Rosalina Saifudin, Yazid Sinduningrum, Estu Sofia Pinardi Soleman, Soleman Sulistiawati Sulistiawati Sutrisno, Mirza Syakura, Rais Abdan Widodo, Muhammad Adnan