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PERANCANGAN APLIKASI PENDAFTARAN DIKLAT SATPAM BERBASIS ONLINE Ardi Mardiana; Nunu Nurdiana; Azizah Nurzakiyah
INFOTECH journal Vol. 6 No. 1 (2020)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v6i1.509

Abstract

BUJP CTP (Badan Usaha Jasa Pengamanan Cahaya Tangguh Perkasa) atau Lembaga Pendidikan yang menyediakan pelatihan dasar Gada Pratama atau yang disebut dengan lembaga pendidikan dan pelatihan satpam memiliki andil yang sangat penting untuk mencetak calon tenaga pengaman yang profesional dan memiliki keterampilan dalam bidang pengamanan. Untuk cara pendaftaran ke BUJP CTP (Badan Usaha Jasa Pengamanan) dengan cara peserta dapat mengunjungi kantor BUJP CTP secara langsung dan membawa persyaratan pendaftarannya secara lengkap dan setelah itu menunggu konfirmasi lulus atau tidak dari Badan Usaha Jasa Pengamanan (BUJP) di rumah kemudian untuk konfirmasinya sendiri pendaftar akan mendapatkan sebuah sms. Karena terjadinya peningkatan jumlah pendaftar diklat satpam kepada BUJP, jika cara pendaftaran masih dengan cara manual ini dikhawatirkan terjadinya formulir dan persyaratan para peserta hilang. Maka dari itu untuk meminimalisir terjadinya hal tersebut perlu adanya media pendaftaran yang lebih baik dengan merancang sebuah aplikasi pendaftaran online melalui alamat website khusus untuk BUJP CTP. Aplikasi ini diuji dengan metode blackbox testing. Pengujian black box dilakukan untuk menguji spesifikasi fungsional perangkat lunak dari aplikasi pendaftaran diklat satpam berbasis web. Aplikasi ini dapat meminimalisir terjadinya persyaratan dan formulir peserta yang hilang. Aplikasi ini juga bermanfaat untuk petugas agar petugas dapat melihat jumlah peserta yang terdaftar pada aplikasi.
ANALISIS DAN PEMODELAN SIMULASI DAMPAK LINGKUNGAN PENAMBANGAN BATU ANDESIT MENGGUNAKAN METODE SISTEM DINAMIK (Studi Kasus : Penambangan Batu Andesit di desa Salawangi Kecamatan Bantarujeg Kabupaten Majalengka) Nisa Farhatunnisa; Deffy Susanti; Ardi Mardiana
PROCEEDING STIMA PROCEEDING STIMA 2.0
Publisher : PROCEEDING STIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.64 KB)

Abstract

The existence of a stone quarry project area will affect the surrounding environment of a region. In addition due to the damage to the road infrastructure, the activities of the miners who perform processes like mine, the waste rock fragments, erosion, fresh water resources is reduced, etc., which will continue to accumulate in accordance with the development of the population the number of rock miners, the activities of miners and environmental components. A similar condition is the presence of stone mining project located in the Village District of Bantarujeg Salawangi. This study uses a matrix ofLeopold to identify the state of the initial environmental setting in the village, through the interview method. Further research conducted by the dynamic simulation modeling approach that provides comprehensive results that the project area will be undergoing expansion by utilizing the andesite quarry material which is influenced by population number of miners, mining project activity. The role of government to improve the condition shown by increased supervision and counseling, the environmental impact can be minimized. This simulation uses a span of 10 years. Simulations using the Ventana Simulation Software PLE x32.Keywords: Matrix Leopold, Mining Project, Dynamic Simulation Modeling, Simulation Software Ventana PLE x32.
PENERAPAN ALGORITMA K-MEANS UNTUK CLUSTERING PENENTUAN JURUSAN BAHASA MANDARIN GERMAN DAN PRANCIS Ardi Mardiana
PROCEEDING STIMA PROCEEDING STIMA 2.0
Publisher : PROCEEDING STIMA

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Abstract

Grouping language department based on academic data using clustering techniques and create applications then analyze the results that are expected to provide the information concerned. K-Means algorithm is a clustering algorithm technique that starts with a random selection of K, which is the number of clusters to be formed from the data to be in clusters, namely student test scores when entering the majors language. System created to show the results of student academic data clustering, ie the pattern of student achievement lusternya remain, down and up, and can be seen from the data value of the test results. From the results of the case study can be obtained information of students who remain in clusters such as early admission, students who ride down clusters and clusters of students.Keywords : clustering, Algoritma K-Means.
DEVELOPMENT OF CNN-LSTM-BASED IMAGE CAPTIONING DATASET TO ENHANCE VISUAL ACCESSIBILITY FOR DISABILITIES Muhammad Rifki; Ade Bastian; Ardi Mardiana
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 4 (2025): JITK Issue May 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i4.6657

Abstract

Visual accessibility in public spaces remains limited for individuals with visual impairments in Indonesia, despite technological advancements such as image captioning. This study aims to develop a custom dataset and a baseline CNN-LSTM image captioning model capable of describing sidewalk accessibility conditions in Indonesian language. The methodology includes collecting 748 annotated images from various Indonesian cities, with captions manually crafted to reflect accessibility features. The model employs DenseNet201 as the CNN encoder and LSTM as the decoder, with 70% of the data used for training and 30% for validation. Evaluation was conducted using BLEU and CIDEr metrics. Results show a BLEU-4 score of 0.27 and a CIDEr score of 0.56, indicating moderate alignment between model-generated and reference captions. While the absence of an attention mechanism and the limited dataset size constrain overall performance, the model demonstrates the ability to identify key elements such as tactile paving, signage, and pedestrian barriers. This study contributes to assistive technology development in a low-resource language context, providing foundational work for future research. Enhancements through data expansion, incorporation of attention mechanisms, and transformer-based models are recommended to improve descriptive richness and accuracy
PERSPEKTIF GLOBAL TREN DAN PERKEMBANGAN INOVASI PENELITIAN VIDEO TO MUSIC GENERATION Bastian, Ade; Ardi Mardiana; Muhammad Fahmi Ajiz; Satria Winata
INFOTECH journal Vol. 11 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i1.13830

Abstract

Penelitian ini bertujuan memetakan evolusi generasi musik berbasis AI, khususnya generasi musik dari video. Melalui analisis bibliometrik terhadap 999 publikasi ilmiah (1997-2025), kami menganalisis tren dan struktur konseptual menggunakan VOSviewer. Metode meliputi ekstraksi metadata, konstruksi jaringan ko-kepengarangan, dan identifikasi kluster dominan. Hasil mengungkapkan lima kluster tematik utama: model generatif berbasis teks, generasi musik simbolik, musik video game, integrasi multimedia, dan komposisi otomatis. Studi terbaru menunjukkan pergeseran ke arsitektur generatif multimodal, mengintegrasikan transformer dan model difusi untuk mengatasi tantangan penyelarasan semantik-temporal antara video dan musik. Penelitian mengidentifikasi kesenjangan utama: kelangkaan dataset berpasangan skala besar, kurangnya metrik evaluasi standar, dan terbatasnya sistem generasi real-time. Kebaruan penelitian ini adalah pemetaan bibliometrik pertama yang fokus eksklusif pada generasi musik dari video, memberikan fondasi bagi komunitas akademik dan industri untuk memahami lintasan dan arah masa depan bidang ini.
Rancang Bangun Aplikasi Surat Pada Sub Bagian Komunikasi Pimpinan Bagian Protokol Dan Komunikasi Pimpinan Asisten Administrasi Umum Sekretariat Daerah Kabupaten Majalengka Elawati; Ardi Mardiana
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 5 (2021): STIMA 5.0 Kebangkitan Nasional Digital Era Industri 4.0
Publisher : Universitas Majalengka

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Abstract

The purpose of this research is to make a letter application to provide convenience to the manager of the manuscript in the Sub Division of Administration of the General Section of the General Administration Assistant of the Regional Secretariat of Majalengka Regency. This application is used for mail data management. The research methodology used in making this application is the XP (Extreme Program) method. Meanwhile, for making application interfaces using XAMPP software with the Bootstrap CSS framework and PHP Codeigniter framework with the MVC model (Model, View, Controller). The results of letter management with this application can print blank disposition sheets, letter data reports and can store files and letter data more properly in the storage directory. Applications made are based on the process of managing letters in the Sub Division of Administration Head of General Administration Assistant for General Administration of the Regional Secretariat of Majalengka Regency. This research is expected to be able to assist manuscript management in managing, filing and searching letters quickly, precisely and accurately.
IMPLEMENTASI METODE K-MEANS UNTUK CLUSTERING PRODUK YANG KURANG DIMINATI BERDASARKAN DATA PENJUALAN ARDI MARDIANA; Budiman, Budiman
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 6 (2022): STIMA 6.0 Bangkit Bersama Membangun Majalengka Smart City
Publisher : Universitas Majalengka

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Abstract

Nanti Bang
RANCANG BANGUN SISTEM INVENTORY DAN KASIR BERBASIS WEB PADA JALAKOTEK ASEP (Studi Kasus: Toko Jalakotek Asep) Fauzan Faturahman Azkia; Ardi Mardiana
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.913

Abstract

The effective management of inventory is a critical aspect of any business, as it directly influences operational efficiency, cost control, and customer satisfaction. In this study, we present the design and implementation of a comprehensive Inventory Management System (IMS) aimed at optimizing inventory control and streamlining the inventory-related processes for small and medium-sized enterprises (SMEs). The system is developed using a combination of modern technologies, including a web-based front-end for easy accessibility and a robust database to store inventory-related information securely. The backend utilizes algorithms to predict demand patterns, ensuring optimized stock levels to prevent stockouts and overstocking. The results indicate that the implementation of the IMS significantly improves inventory management efficiency, reduces carrying costs, and enhances inventory accuracy by minimizing manual errors. The streamlined processes lead to faster order fulfillment and improved customer satisfaction.