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Application of simple additive weighting in the decision support system for determining the best location of temporary waste storage places Isminarti Isminarti; Deny Wiria Nugraha; Yuri Yudhaswana Joefrie; Andipa Batara Putra; Widya Wisanty
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1054

Abstract

Waste is a material that is discarded or discarded as a result of human or natural activities. The increase in waste is proportional to the level of human use of goods used in everyday life. Until now, the waste problem has always been a complaint for all people in cities and villages. One effective way to deal with the waste problem is to select the ideal location for a Temporary Waste Storage Site (TPS). This research aims to build a system that can determine the best location for waste TPS using a Decision Support System (DSS) method of Simple Additive Weighting (SAW). In this study, seven assessment criteria were used with 148 test data. The tests showed that the computing time required to get the ranking was 12,528 seconds, and memory usage was 226,2422 kb. Also, this system produces an accuracy level of 93.24%, which shows that it can function well using the SAW method and has a pretty good level of accuracy.   
SISTEM PENUNJANG KEPUTUSAN PENERIMAAN GURU BERBASIS WEB Wisanti, Widya
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 2 No 1 (2017): Volume 2, Nomor 1, April 2017
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.263 KB) | DOI: 10.24252/instek.v2i1.2602

Abstract

Kegiatan dalam menerima calon guru merupakan kegiatan yang sering dilaksanakan oleh setiap sekolah. Tujuan penelitian ini adalah Merancang suatu perangkat lunak yang dapat membantu  pihak  sekolah dalam  menentukan calon guru yang dapat diterima atau tidak dengan sistem yang terkomputerisasi sehingga proses pengambilan keputusan ini dapat lebih efisien.Membuat Sistem Pendukung keputusan seleksi guru baru dengan data yang terstukturisasi, dapat diakses secara cepat, langsung, dan akurat. Memperbaiki sistem akademik dalam seleksi guru.Metode yang digunakan dalam perancangan sistem ini adalah Analytical   HierarchyProcess (AHP). Hasil dari perancangan program aplikasi ini dibuat untuk menanggulangi kendala kesalahan yang kadang terjadi dan tanpa disadari telah sedikit menghambat dalam sistem penerimaan guru. Sehingga diharapkan dengan adanya sistem ini diharapkan dapat membantu dalam mengambil keputusan.
SISTEM KONTROL KECEPATAN MOTOR 3 FHASA DENGAN SMART RELAY ZELIO DAN INVERTER ALTIVAR WISANTI, WIDYA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 1 (2022): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i1.27085

Abstract

Penelitian ini dilatarbelakangi akan kebutuhan peralatan produksi untuk dapat meningkatkan efisiensi waktu dan biaya sehingga diperlukan pengontrol untuk motor listrik tiga fhasa. dengan tujuan mengatur kecepatan dan frekuensi motor listrik sesuai kebutuhan pengguna dengan menggunakan inverter altivar. Mengatur kecepatan suatu motor listrik dapat dilakukan dengan pengaturan frekuensi pada menu setting di inverter altivar. Dan untuk pengendaliannya menggunakan smart relay zelio sebagai pengontrol interver altivar. Kata kunci : motor listrik tiga fhasa, inverter altivar, kecepatan motor 
ANALISIS PENGGUNAAN CHLORINE PLANT PADA SISTEM KELISTRIKAN PEMBANGKIT LISTRIK TENAGA UAP (PLTU) PUNAGAYA KABUPATEN JENEPONTO subhan; Muhammad Agus Budiawan; St. Amina H.Umar; RA. Reny Murniati; Widya Wisanty; Indar Dewa
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 2 (2025): Mei
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i2.5165

Abstract

Penelitian ini bertujuan untuk menganalisis sistem kerja penggunaan Chlorine Plant dan rangkaian peralatan dalam sistem kelistrikan di Pembangkit Listrik Tenaga Uap (PLTU) Punagaya Kabupaten Jeneponto, Sulawesi Selatan. dalam Penelitian ini menggunakan data secara kualitatif dan kuantitatif, di mana data dikumpulkan melalui observasi langsung dan wawancara dengan teknisi berpengalaman di lokasi. bahwa penggunaan Chlorine Plant memiliki dampak signifikan terhadap kualitas air dan efisiensi sistem kelistrikan, yang pada gilirannya berkontribusi pada produktivitas PLTU Punagaya. Untuk Penelitian selanjutnya, disarankan untuk mengeksplorasi teknologi alternatif dalam pengolahan air serta dampak jangka panjang penggunaan Chlorine Plant di sector industri dan non-industri. Selain itu, pengelolaan penggunaan Chlorine Plant perlu dilakukan dengan mempertimbangkan aspek keberlanjutan dan dampak lingkungan, guna memastikan bahwa penerapannya tidak hanya efisien secara operasional tetapi juga ramah lingkungan.
Minimizing THD Using a Multilevel Inverter Integrated with MPPT Andi Syarifuddin; Pakka, Hariani Ma’tang; Halit Eren; Ahmed Saeed AlGhamdi; Umar, Umar; Widya Wisanti; Amelya Indah Pratiwi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1257.2025

Abstract

This paper presents a novel Modified Multilevel Inverter (MMLI) topology to reduce Total Harmonic Distortion (THD) in photovoltaic (PV) systems. Unlike conventional Cascaded H-Bridge Inverters, the proposed MMLI achieves higher output voltage levels using fewer switching components by optimizing the arrangement of voltage sources and switches. A Boost converter integrated with Maximum Power Point Tracking (MPPT) further enhances power conversion efficiency and system stability. This specific configuration has not been previously explored, offering a more effective solution for THD mitigation. Simulations conducted in MATLAB/Simulink demonstrate the inverter’s performance, with the 5-level MMLI achieving a THD of 28.99% and the 9-level configuration reducing it to 18.15%. These results confirm the superiority of the proposed topology in improving power quality and reducing system complexity. Moreover, the design eliminates the need for external filters, making it a cost-effective and practical option for grid-connected PV applications.
Hybrid Systems for Energy Distribution and Telecommunication Reliability in Smart Grids Saidah Sayuti; Hariani Ma'tang Pakka; Andi Syarifuddin; Muhammad Yusuf Mappeasse; Widya Wisanty
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 1 (2024): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v2i1.9520

Abstract

The integration of energy distribution systems and telecommunication networks is crucial for improving the reliability, efficiency, and scalability of smart grids. However, challenges such as electromagnetic interference (EMI), latency, and fault tolerance complicate seamless operation. This study proposes a hybrid framework using MATLAB/Simulink to model and simulate energy distribution, real-time monitoring, and fault detection in high-voltage environments. The simulation framework consists of a high-voltage energy distribution network modeled with multiple buses, transformers, and distributed renewable energy sources. IoT-based sensors are strategically placed at critical nodes to collect real-time voltage and current data, which are transmitted via 5G communication protocols using the MQTT messaging standard. Fault detection is performed using an AI-driven Support Vector Machine (SVM) algorithm, trained with historical fault data to detect anomalies and classify fault types with high accuracy. The simulation environment integrates power flow analysis, real-time fault detection mechanisms, and communication latency assessment to evaluate system performance. Key findings demonstrate up to 92.8% energy efficiency with 60% renewable energy penetration, fault recovery times reduced to 35 ms through AI-based detection, and communication latency maintained below 15 ms for IoT-based monitoring. These results validate the proposed framework’s ability to address critical challenges in smart grids, including EMI mitigation, fault tolerance, and system scalability. This research bridges the gap between energy distribution and telecommunication systems, offering a scalable and sustainable solution for smart grid optimization.