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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Kistofer , Terdy
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Computer Science & IT

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IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE UNTUK PREDIKSI PENDAPATAN DI IKA LAUNDRY BERBASI WEB Jaka Pradana , Yuda; Heru Mujianto , Ahmad; Kistofer , Terdy
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6159

Abstract

This research aims to implement the Weighted Moving Average (WMA) method for income prediction in Ika Laundry's web-based system. The daily income data of Ika Laundry is used as a sample for prediction analysis. The WMA method is applied with predetermined weights to calculate the average forecast. The results of the study demonstrate that the utilization of the WMA method yields more accurate income predictions. Evaluation is conducted using accuracy such as Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and Mean Absolute Deviation (MAD). In the testing period, the MAPE is determined to be 7.51%, MSE is 117,549,222,222.22, and MAD is 279,190.48. By implementing the WMA method, Ika Laundry can effectively and efficiently predict its income. The findings of this research, as indicated by the measured accuracy through MAPE, MSE, and MAD, can serve as a guide for Ika Laundry in making more accurate income-based decisions. Moreover, this study contributes to the development of income prediction methods in the web-based service industry. conclusion, this research demonstrates that the implementation of the Weighted Moving Average (WMA) method for income prediction in Ika Laundry's web-based system results in more accurate predictions. The findings of this study can serve as a guide for Ika Laundry in making better decisions and improving their operational performance. Keywords: Weighted Moving Average (WMA), income prediction, Ika Laundry, prediction accuracy.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE SMART (Simple Multi Attribute Rating Technique) BERBASIS WEB Satria Hudin, Achmada; Putra Eka Prismana, IGL; Mashuri , Chamdan; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8864

Abstract

The implementation of a decision support system will be implemented in a website-based application aimed at making it easier for consumers to get the best smartphone recommendations. The study applied the Simple Multi Attribute Rating Technique method to determine the weighting. on the system and generate data according to the parameters consumer needs. The results of this research are a website-based application that contains recommendations for smartphones that are running effectively and are intended to be used by consumers in the Fast Fund Store as a means to rejuvenate smartphone recommendations as needed. This can be explained by the Simple Multi Attribute Rating Technique's successful use of scaling when an application is running.
APLIKASI PERSEDIAAN BARANG TOKO KERAMIK BERBASIS WEBSITE DENGAN METODE REORDER POINT Dike Efendi, Muhamad; Imam Agung, Achmad; Sucipto, Hadi; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8867

Abstract

To keep pace with rapid technological advances and increase the amount of information available about all types of procurement activities, an information system is needed that assists with many tasks in the process. Computers are tools designed to make human work easier, provided they achieve a high level of performance, both in hardware and software development. All industrial companies, regardless of the size of the company, even newly established ones, must have a warehouse. Goods vary depending on the type and quantity of goods. This research aims to: First, to build an inventory information system application at the Berdikari Mancilan Mojoagung Ceramic Shop. Second, to apply the Reorder Point (ROP) method to inventory goods at the Berdikari Mancilan Mojoagung Ceramic Shop. This research uses field research or surveys. Techniques such as observation, interviews, and documentation are used to obtain data for this study. Informants in this study include leaders and employees of the Berdikari Mancilan Mojoagung Ceramic Shop. The methods used to obtain data collected using observation and interview techniques include: Problem identification, literature study, data collection, requirements analysis, system design, implementation and testing. The findings of this study are to apply the Reorder Point method to the system as expected. Researchers also conducted two. Keywords: goods control, Reorder Point method
PENERAPAN FUZZY TIME SERIES-MARKOV CHAIN UNTUK PENJADWALAN TANAM PADI BERDASARKAN PERAMALAN CURAH HUJAN DI MEGALUH Umi Rahmawati, Evis; Dwi Indriyanti, Aries; Heru Mujianto, Ahmad; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8871

Abstract

Extreme climate change poses a significant challenge for the agricultural sector, especially in determining the ideal rice yield. This research develops a web-based information system to optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method with human judgment. A case study was conducted in Megaluh, Jombang Regency, where the majority of participants are farmers. The developed system successfully provides rainfall predictions with a Mean Absolute Percentage Error (MAPE) of around 90.74% and recommends planting schedules that can reduce the risk of crop failure. The survey results conducted in January 2023 showed a rainfall of 507.21 mm, which falls into the high rainfall category. The aim of this research is to develop a web-based information system that can optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method, through the implementation of rainfall data in Megaluh District, Jombang Regency. The research methodology includes problem identification, literature review, data collection, system requirements analysis, system penetration, coding, and testing. Rainfall data from 2018 to 2022 is used to predict rainfall for the next two years, which is then used to recommend the ideal planting time for farmers. This research not only helps practitioners reduce the risk of crop failure due to weather uncertainty, but also introduces new concepts in information technology. Additionally, this system has the potential to be further developed and applied to other case studies for more accurate and optimal results. Keywords: Scheduling, Fuzzy Time series, Forecasting.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN CV WAHANA SEJAHTERA FOODS DENGAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) Musyafa’ Al-Anshari, Muhammad; Mashuri , Chamdan; Heru Mujianto , Ahmad; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8873

Abstract

This research seeks to create and implement a Decision Support System (DSS) for Employee Recruitment at CV Wahana Sejahtera Foods using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method. This system is designed to address challenges in selecting employees due to a large number of applicants, which complicates the Human Resources Department's (HRD) ability to identify the best candidates according to company criteria. The MOORA method was chosen for its ability to optimize various conflicting criteria simultaneously, thereby producing more objective and efficient selection outcomes. The web-based SPK is developed for easy access, development, and usability across multiple platforms. The system outputs the final results of MOORA calculations, which can be used as recommendations by HRD in the employee recruitment decision-making process. With this MOORA-based DSS, CV Wahana Sejahtera Foods can expedite and improve accuracy in selecting candidates, thus optimizing selection process efficiency and reducing subjective decision-making factors. Keywords: Decision Support System, MOORA, Employee Recruitment, CV Wahana Sejahtera Foods
Co-Authors Achmad Imam Agung ARIES DWI INDRIYANTI, ARIES Dike Efendi, Muhamad Hadi Sucipto, Hadi Heru Mujianto , Ahmad Jaka Pradana , Yuda Mashuri , Chamdan Mujianto, Ahmad Heru Musyafa’ Al-Anshari, Muhammad Putra Eka Prismana, IGL Satria Hudin, Achmada Umi Rahmawati, Evis