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SISTEM INVENTARIS TRANSFORMATIF: MEMANFAATKAN BLOCKCHAIN DAN LARAVEL DI PT. MANDIRI PLASTINDO sanjay, sanjay; Maulana, Donny; Kurniadi, Nanang Tedi
IDEALIS : InDonEsiA journaL Information System Vol 7 No 2 (2024): Jurnal IDEALIS Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v7i2.3195

Abstract

Transformative Inventory System: Utilizing Blockchain and Laravel at PT. Mandiri Plastindo The aim of this research is to develop and execute a system. Transformative Inventory utilizes Blockchain technology and the Laravel framework at PT. Mandiri Plastindo. The problem raised is efficiency and reliability in inventory management which can be improved through the application of the latest technology. The proposed Waterfall model SDLC method involves developing a Blockchain-based system to secure and track inventory changes in a transparent and immutable manner. The Laravel framework is used to build application platforms that are user-friendly and easy to develop. A web-based application is the result of this research. allows PT. Mandiri Plastindo to efficiently manage their inventory by increasing speed, security and reliability. With Blockchain technology, inventory data can be clearly verified and cannot be manipulated, increasing trust and transparency in the inventory management process. The conclusion of this research is that implementing a transformative inventory system using Blockchain and Laravel can provide important benefits for businesses, including increased operational effectiveness, increased security of information and more openness in inventory management. The existence of an inventory system can make it easier to handle data on incoming and outgoing goods. Apart from that, it can speed up searching for stock and making stock reports. In addition, you can attach accurate stock reports. As a result, companies can optimize their business processes and achieve better overall performance
Implementasi Pengembangan Aplikasi Sistem Manajemen Aset Berbasis Web Menggunakan Metode Waterfall Untuk Mengoptimalkan Penggunaan Aset Pada PT. Hutama Karya (Persero) ., Sapardi; Hadikristanto, Wahyu; Kurniadi, Nanang Tedi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 4 (2023): Oktober 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i4.948

Abstract

The utilization of communication and information technology is a suitable step for PT. Hutama Karya (Persero) in managing its assets to ensure optimal asset utilization. Previously, the asset management process relied on manual systems such as handwritten notes and Microsoft Excel as tools for data processing. The solution to effective asset management lies in the implementation of a web-based asset management system application, as the system is computerized, enabling faster and more accurate processes. PT. Hutama Karya (Persero) adopted the waterfall method in developing the asset management system application to ensure a systematic and well-planned development process. The asset management system application was developed using PHP programming language and CodeIgniter 3 framework, resulting in a responsive application interface. The application underwent successful testing, including black box testing to assess its functionality. The results of the testing indicate that the application performs well. With the implementation of this asset management system application, PT. Hutama Karya (Persero) can effectively manage its assets, optimize their utilization, and ensure faster and more accurate asset management processes.
Tata Kelola Tempat Ibadah di Era Industri 5.0 “ Sistem, Strategi dan Manajemennya” PKM : Dewan Kemakmuran Masjid ( DKM ) Al Ikhlas Selosia Kab. Bekasi Maulana, Donny; Nawangsih, Ismasari; Ismamudi, Ismamudi; Kurniadi, Nanang Tedi; Budiarto, Eko
Jurnal Pelita Pengabdian Vol. 2 No. 1 (2024): Januari
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i1.3141

Abstract

Permasalahan prioritas yang dihadapi DKM Al Ikhlas adalah : 1) Permasalahan Kualitas Jama’ah. 2) Permasalahan Manajemen dan Organisasi, 3) Permasalahan Motivasi Belajar, dan 4) Permasalahan Teknologi Sistem informasi manajemen. Tujuannya adalah meningkatnya kompetensi Jama’ah, manajemen DKM Al Ikhlas mampu meningkatkan tata kelola DKM Al Ikhlas yang efektif dan efisien, meningkatnya semangat bidang akademik dan non akademik, serta mampu menerapkan aplikasi sistem informasi manajemen dengan teknologi Informasi. Metode pendekatan yang digunakan untuk mencapai target luaran ditetapkan, yaitu : Pelatihan, Bimbingan/Konsultasi, Pendampingan, Fasilitasi dan Mediasi DKM Al Ikhlas. Selain itu Tim juga menentukan prosedur, langkah – langkah solusi dalam pemecahan masalah, dan didalam pelaksanaan program akan melibatkan pakar – pakar dalam bidangnya yang berpengalaman dalam pengelolaan DKM Al Ikhlas yang efektif dan efisien
Optimization Water Conservation Through IoT Sensor Implementation At Smartneasy Nusantara Abdurrafi, Alfin; Maulana, Donny; Kurniadi, Nanang Tedi
Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9475

Abstract

The use of IoT sensors in technology is a fascinating research subject due to the possibility of real-time monitoring of water usage and temperature effects. Developing tools and systems that make observations of water usage through Max6675 sensors can optimize data collection and processing through remote monitoring. Utilizing the IoT technique, the ESP8266 WeMOS D1 R2 microcontroller and the Max6675 temperature sensor are utilized to regulate the water pump via a relay. This approach enhances water sustainability for plant assumptions based on the predetermined temperature. The device activates the water pump when the temperature surpasses the standard level at the observation site. The outcome indicated that this device operates accordingly with a 100% success rate. The device was determined to function effectively by activating the water pump based on temperature. Additionally, it can provide real-time monitoring data and process sensor data for analysis.
Sentiment Analysis of Starlink on Twitter Using Support Vector Machine Algorithm Sardin, Sardin; Nugroho, Agung; Kurniadi, Nanang Tedi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4348

Abstract

Indonesia faces unique challenges in the provision of internet services. Cable and fiber optic infrastructure is often difficult and expensive to implement in many areas. Based on data from the Asosiasi Penyelenggara Jasa Internet Indonesia (APJII), by 2024 internet users will reach 221.5 million. Starlink, Elon Musk's satellite-based internet service through his SpaceX company, offers an innovative solution to fill the void in Indonesia's telecommunications infrastructure. However, Starlink's presence has raised concerns among local service providers, particularly regarding potential market disruption and existing regulations. Starlink could also pose a potential threat to Indonesia's security and sovereignty. Starlink has been a hot topic on various social media platforms, including Twitter. Twitter is a very popular social media platform with millions of active users who often share their opinions in real-time. The number of public responses in assessing the presence of Starlink in Indonesia, became a reference for a sentiment analysis. The Support Vector Machine algorithm is used to classify opinions into positive and negative categories. Based on testing that has been done using the Cross Validation technique with a K-Fold value with a total of 1976 tweets data. The results show that 1112 tweets contain positive sentiment and 864 tweets contain negative sentiment. This shows that 56.3% of people agree with the presence of starlink in Indonesia. While from the use of the Support Vertor Machine algorithm, the Accruracy value is 76.22%, Precision is 77.48%, and Recall is 81.38%.