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Sistem Pendukung Keputusan Pemilihan Gudang Menggunakan Metode Single Page Application Dan Simple Additive Weighting Sorongan, Erick; Sari, Danar Retno; Apriliza, Putri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 3: Juni 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0813257

Abstract

Permasalahan umum pada suatu organisasi berkembang adalah bagaimana mengelola aliran data yang masuk dengan cepat tetapi tetap memperhatikan keakuratan hasil informasinya. Masalah ini sering terjadi terutama pada perusahaan dibidang logistik yang memiliki resiko cukup besar ketika suplai barang dikelola masih menggunakan cara konvensional dengan tingkat kompleksitas tinggi. Tujuan penelitian ini adalah untuk menghasilkan sebuah sistem informasi pendukung keputusan pemilihan gudang sehingga bisa mempersingkat waktu dalam proses pengelolaan barang. Penelitian dilakukan dengan merancang dan mengimplementasikan sebuah sistem informasi pendukung keputusan berdasarkan metode Simple Additive Weighting dalam penentuan gudang tempat penyimpanan barang. Dalam penelitian ini SAW berfungsi untuk melakukan pembobotan berdasarkan kriteria barang sehingga sistem dapat merekomendasikan gudang penyimpanan yang sesuai. Pengkodean sistem menggunakan Single Page Application dengan konsep Model, View dan Controller. Metode seperti ini mampu menghemat bandwith dan sangat cepat ketika diakses karena terdiri atas komponen individual yang dapat diganti atau diperbaharui secara independen, sehingga seluruh halaman tidak perlu dimuat ulang. Penelitian ini mengembangkan metode penjumlahan terbobot yang dikodekan ke dalam bahasa pemrograman dengan menyesuaikan kondisi aliran logistik dan kriteria barang. Kriteria yang digunakan dalam menentukan lokasi penyimpanan barang sesuai dengan jenisnya antara lain, masa penggunaan (C1), daya (C2), jumlah (C3) dan harga (C4) dengan bobot masing-masing sebesar 25%. Hasil penelitian menunjukkan bahwa sistem ini berhasil memberikan rekomendasi gudang tempat penyimpanan barang sesuai dengan jenisnya. Hal ini dibuktikan dengan cara membandingkan hasil antara perhitungan manual dengan proses inputan sistem menggunakan sample yang sama yakni barang elektronik komputer. Perbandingan menunjukkan hasil yang sama yaitu merekomendasikan barang disimpan ke dalam gudang elektronik. AbstractA common problem in a developing organization is how to manage the incoming data flow quickly but still pay attention to the accuracy of the results of the information. This problem often occurs especially in organizations or companies in the field of logistics that have a significant risk when the supply of goods is managed using conventional methods with a high level of complexity. The purpose of this study is to produce an information system supporting warehouse selection decisions so as to shorten the time in the process of managing goods. The study was conducted by designing and implementing a decision support information system based on the Simple Additive Weighting method in determining the warehouse where the goods are stored. In this study SAW functions to do weighting based on the criteria of goods so that the system can recommend an appropriate warehouse. The coding system uses Single Page Application with the concept of Model, View and Controller. This method saves bandwidth and is very fast when accessed because it consists of individual components that can be replaced or updated independently, so that the whole page does not need to be reloaded. This research develops a weighted sum method coded into a programming language by adjusting logistical flow conditions and item criteria. The criteria used in determining the location of storage of goods according to their types include, period of use (C1), power (C2), amount (C3) and price (C4) with a weight of 25% each. The results showed that this system succeeded in providing recommendations for warehouse storage of goods according to its type. This is evidenced by comparing the results between manual calculations with the input system using the same sample of computer electronic goods. The comparison shows the same results, namely recommending the goods to be stored in an electronic warehouse.
The Application of Energy Management Systems Using the Internet of Things to Improve the Efficiency of Electrical Energy Usage in the MSMEs Sector Sorongan, Erick; kango, riklan; Suhaedi, Suhaedi
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.5042

Abstract

Monitoring the electrical energy of the MSME sector is necessary because the current use of electricity is less effective and consumes more electrical power. The use of electrical power can only be seen through the kWh meter measuring instrument and only shows the cumulative amount of electrical energy used. The analog panel design constraint only displays aggregate consumption data, not real-time. This study aims to develop an energy management system through Internet of Things communication for monitoring and controlling electrical devices in MSME sector buildings. Designer of a real-time measurement system that can read the parameters of the amount of electricity consumed so that MSME users can monitor the use of electricity consumption quickly and accurately via the internet and become a solution for more efficient monitoring work. The monitoring system is designed for load groups in buildings by using the ESP32 NodeMCU as a data processor for data received from the PZEM-004T sensor and sent directly to the Blynk server so that the data can be monitored and controlled on the Blynk interface via a smartphone. The data displayed on the Blynk application is in the form of voltage (volts), current (amperes), power (watts), electrical energy (kWh), and electricity usage rates in rupiah in real-time. The results of the study obtained show that the proposed method can read the energy consumption data of the electrical load used with an error value of 0.54% in voltage measurement and an error value of 2.93% in current measurement and has a delay in sending data to the monitoring application of an average of 3 seconds. The proposed draft Energy Management System can improve electricity efficiency if applied to solve the problem of electrical energy consumed in MSME sector buildings.
Evaluation of Implementation E-Government with Delone and Mclean Sorongan, Erick; Hidayati, Qory
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 1 (2020): February 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.901 KB) | DOI: 10.29407/intensif.v4i1.13067

Abstract

This research intends to analyze and test variables that influence implementation E-government, especially in Balikpapan city. The study uses the information system success model DeLone and McLean which has six main variables that can be used to measure the success rate of information systems. Variables that support the success of e-government that support this research include system quality and information quality as exogenous variables. Furthermore, the use and user satisfaction variables are endogenous variables that also affect the net benefits variable. Based on previous research, service quality variables have not been proven to affect endogenous variables, so the researchers omit these variables. Data collection is done by distributing questionnaires to users of e-government services in Balikpapan City as many as 100 respondents. Data processing methods with Structural Equation Modeling (SEM) using the Smart PLS 3.0 approach. This research proves the R-square value of the dependent variable user satisfaction is 62%, and the net benefit variable is 59.1%, which means that the dependent variable can be explained through independent variables in this research model. Based on the findings in the study, it shows that the quality of the system has an effect on user satisfaction but has no impact on use.