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All Journal JURNAL INTEGRASI Jurnal Akuntansi dan Ekonomika JURNAL AKUNTANSI, EKONOMI dan MANAJEMEN BISNIS JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JOURNAL OF APPLIED ACCOUNTING AND TAXATION JURTEKSI Jurnal of Applied Multimedia and Networking Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Proceeding Applied Business and Engineering Conference Software Development Digital Business Intelligence and Computer Engineering Journal of Computer Science and Information Technology Journal of Data Analytics, Information, and Computer Science (JDAICS) Green Engineering: Journal of Engineering and Applied Science
Supardianto Supardianto
Politeknik Negeri Batam
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PROJECT-BASED LEARNING PERFORMANCE MEASUREMENT USING VIKOR METHOD AND RANK ORDER CENTROID Irmansyah Lubis, Ahmadi; Supardianto, Supardianto; Santiputri, Metta; Ardi, Noper; Uperiati, Alena
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 3 (2024): Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.2853

Abstract

Abstract: Project-Based Learning is a type of learning that is quite widely recommended today, especially in vocational type institutions where the learning is effective in the aim of involving students with direct learning content. The process of evaluating project-based learning on project teams in the performance assessment of each team to rank the order of best performance of all teams is still assessed based on subjective assessments. To overcome these problems, in this study the performance measurement of the project-based learning team by applying the VIKOR method and Rank Order Centroid in conducting assessments with test samples, namely in the Introduction to Database course. The test results obtained based on the calculation of VIKOR and Rank Order Centroid, namely PBL-TRPL01 Team 1 as the best alternative by obtaining based on variations of testing the VIKOR index value with values v=0.4, v=0.5, and v=0.6. Thus, it can be seen that the VIKOR and Rank Order Centroid methods can be applied to the calculation process of measuring team performance in project-based learning.            Keywords: decision Support System; project-based learning; rank order centroid; VIKOR Abstrak: Pembelajaran Berbasis Proyek merupakan jenis pembelajaran yang cukup banyak direkomendasikan di masa kini khususnya pada institusi berjenis vokasional. Pembelajaran tersebut efektif dalam tujuan melibatkan para peserta didik dengan konten pembelajaran secara langsung. Proses evaluasi pembelajaran berbasis proyek pada tim proyek dalam penilaian performa dari masing-masing tim untuk memeringkatkan urutan performa terbaik dari seluruh tim masih dinilai berdasarkan penilaian secara subyektif. Untuk mengatasi persoalan tersebut, pada penelitian ini pengukuran performa tim project-based learning dengan menerapkan metode VIKOR dan Rank Order Centroid dalam melakukan penilaian dengan sampel pengujian yaitu pada mata kuliah Pengantar Basis Data. Hasil pengujian yang diperoleh berdasarkan perhitungan VIKOR dan Rank Order Centroid yaitu bahwa alternatif PBL-TRPL01 Tim 1 sebagai alternatif terbaik dengan peroleh berdasarkan variasi pengujian nilai indeks VIKOR. Maka dengan demikian, dapat diketahui bahwa metode VIKOR dan Rank Order Centroid dapat diterapkan pada proses perhitungan pengukuran performa tim pada pembelajaran berbasis proyek. Kata kunci: pembelajaran berbasis proyek; rank order centroid; sistem pendukung keputusan; VIKOR
Analisis Efektivitas Motion graphic Sebagai Media Informasi Company profile Polibatam Press Menggunakan Epic Model Supardianto, Supardianto; Octaviany, Wanda Dwi
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.6644

Abstract

Polibatam Press, a business unit under the Batam State Polytechnic, which was founded in 2017, focuses on publishing books and scientific works. Even though it currently uses a website for publishing and social media for promotion, Polibatam Press does not yet have a company profile that can be easily distributed via various social media platforms. This research aims to develop a company profile video in the form of motion graphics to improve Polibatam Press branding. In the design process, the Villamil-Molina method was used, and its effectiveness was analyzed using the EPIC model. The research results showed that alpha testing was 4.23, which means "feasible,", and beta testing resulted in an EPIC rate of 3.92, which was interpreted as "effective." Based on these results, the resulting motion graphic video fulfills the purpose of its creation by being able to provide information effectively to the people who watch it
Analisis QoS (Quality of Service) Perangkat IoT pada Pendingin Ruangan Server PT.Skynet Indonesia Madani supardianto, supardianto; Mansyur, Agus Maulidi; Fani, Maidel
Software Development, Digital Business Intelligence, and Computer Engineering Vol. 2 No. 1 (2023): SESSION (SEPTEMBER)
Publisher : Politeknik Negeri Banyuwangi Jl. Raya Jember km. 13 Labanasem, Kabat, Banyuwangi, Jawa Timur (68461) Telp. (0333) 636780

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/session.v2i1.2023.18-25

Abstract

PT Skynet Indonesia Madani, a telecommunications company based in Batam City, specializes in providing Broadband Internet and Dedicated Internet services as an Internet Service Provider (ISP). With servers capable of supporting up to 5,000 customers across various areas in Batam City, maintaining network stability is paramount. A critical component of this stability is the server room's temperature regulation. Regular monitoring and control of the air conditioning in the server room are essential to prevent device failures due to errors or overheating. To enhance reliability and reduce human error, an automatic control system for the server room's air conditioning was developed. This system, built using Wemos D1 R1, DHT11 Module, IR Transceiver, PZEM V2.0, Tp-link TL-WR840N, and Tp-link TL-SF1008D, offers features such as scheduled cooling activation, real-time server room temperature monitoring, and notification capabilities for air conditioning disruptions. The system is web-based, facilitating remote access and control. The development approach for this system employed the Waterfall method, complemented by QoS (Quality of Service) analysis techniques. This research aims to evaluate the quality and effectiveness of the automatic control system for PT Skynet Indonesia Madani's server room air conditioning.
Design of Sustainable Smart Water Distribution Systems with Machine Learning-Based Leak Detection and Pressure Control to Conserve Water Resources Lalu Delsi Samsumar; Zaenudin Zaenudin; Supardianto Supardianto; Bahtiar Imran
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 4 (2024): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i4.248

Abstract

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.
Co-Authors Afdhol Dzikri Afdhol Dzikri, Afdhol Agung Riyadi Ahmad Hamim Thohari Ahmadi Irmansyah Lubis Akbar , Ardiyallah Akbar, Ardiyallah Alena Uperiati Anisha Rizka Femilia Ardi, Noper Arief Binsar Tampubolon Arif Roziqin Arniati Arniati Bintang Budhiman Celine Dion condra antoni Danar Irianto Dicki Prayogi Dodi Prima Resda Dodi Prima Resda Dwi Ely Kurniawan Dwi Teguh Prasetyo Fani, Maidel Farouki Dinda Rassarandi Hamdani Arif Helya Amalia Imran, Bahtiar Irmansyah Lubis, Ahmadi Jhon Hericson Purba Lalu Delsi Samsumar, M.Eng. Lawita, Nadia Fathurrahmi Lintang Fitriani Pamungkas Lumombo, Liony Luthfiya Ratna Sari Maidel Fani Mandasari, Devi Mansyur, Agus Maulidi Maria Maria Mayasari, Mega Metta Santiputri Mira Chandra Kirana Muchammad Fajri Amirul Nashrullah Mufida, Miratul Khusna Muhammad Ghazali Muhammad Idris Muhammad Zainuddin Lubis Nadia Fathurrahmi Lawita, B.Com., MAccBIT Nelmiawati Nelmiawati Noper Ardi Nur Cahyono Kushardianto Nur Zahrati Janah Octaviany, Wanda Dwi Oktavianto Gustin Purnamasari, Dwi Amalia Rahman Hakim Rina Yulius Rizka Desvaneli Rizki Irianto Rizki Widi Pratama Rizky Pratama Hudhajanto Rizwan Bin Khamis Rokhayati, Yeni Rusda Irawati, Rusda Sandi Prasetyaningsih Sartikha, Sartikha Sartikha, Sartikha Sembiring, Evaliata Br. Siskha Handayani, Siskha Siti Noor Chayati Subki, Ahmad Sudra Irawan Swono Sibagariang Thohari, Ahmad Hamim Tony Gunawan Uchti Syarafina Uperiati, Alena Wenang Anurogo Widya Rika Puspita Zaenaldi, Firki Zaenudin Zaenudin Zaenudin Zaenudin Zega, Selly Artaty