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Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Published by Universitas Hasyim Asy'ari
ISSN : 31090117     EISSN : 25487795     DOI : -
Core Subject : Science,
Computer Science & IT
INOVATE: Jurnal Ilmiah Inovasi Teknologi Informasi adalah jurnal ilmiah yang diterbitkan oleh Fakultas Teknologi Informasi, yang bertujuan untuk menampung dan mempublikasikan hasil penelitian yang dilakukan oleh dosen dan mahasiswa dari program studi Teknik Informatika, Sistem Informasi, serta Ilmu Komputer. Jurnal ini berfungsi sebagai wadah untuk pengembangan ilmu pengetahuan di bidang teknologi informasi, dengan penekanan pada inovasi serta penerapan teknologi terbaru dalam menyelesaikan permasalahan yang ada di masyarakat dan industri. Fokus utama jurnal ini meliputi penelitian yang berkaitan dengan bidang teknologi informasi, sistem informasi, rekayasa perangkat lunak, serta ilmu komputer. Setiap artikel yang diterbitkan dalam jurnal ini melalui proses review yang ketat, dengan tujuan memberikan kontribusi yang signifikan terhadap pengembangan teori, konsep, serta aplikasi dalam dunia teknologi informasi. Selain itu, jurnal ini juga bertujuan untuk memfasilitasi kolaborasi antara akademisi dan praktisi guna mendorong implementasi solusi teknologi yang relevan dengan kebutuhan industri serta perkembangan sosial yang dinamis. INOVATE diterbitkan secara berkala dengan frekuensi dua kali setahun dan terbuka untuk publikasi berbagai jenis artikel, termasuk penelitian dasar, pengembangan teknologi, serta studi kasus yang mengangkat inovasi di bidang sistem informasi, kecerdasan buatan, dan teknologi berbasis web maupun mobile.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 30 Documents
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Search results for , issue "Vol 9 No 2 (2025): Maret" : 30 Documents clear
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.
IMPLEMENTASI METODE FUZZY TIME SERIES CHEN UNTUK PERAMALAN JUMLAH PENGUNJUNG MUSEUM Ni’matul Azizah, Alfin; Sucipto , Hadi; Ali , Mahrus
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.v9i2.8866

Abstract

Forecasting or prediction is a technique utilize to anticipate future indefiniteness in an attempt to make more effective judgement. Fuzzy Time Series is the latest approach in preparation brilliance that is utilize to predict propositions by translating annals data into linguistic values ​​and producing more precise predictions. This research discusses the fuzzy time series system developed by Chen (1996) to predict the number of visitors to the Indonesian Islamic Museum Hasyim Asy'ari Tebuireng Jombang (MINHA) in July 2024. In fuzzy time series, the extensive of the interval greatly influences the predictions results. The system for quotation the extensive of the interval used in this study uses Sturges' rule, predicting the number of visitors to the MINHA museum based on data for June 2022 - April 2024, the forecast results for May were 1390,583 with a MAPE value of 21.27, while the forecast for June produced a forecast of 17,204,417 months. July produced forecasts of 14566.15 with a MAPE value of 24.77 which was included in the feasible forecasting category. Keywords: Forecasting, Fuzzy Time Series, Chen , Number of visitor
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
WEIGHTED MOVING AVERAGE SEBAGAI METODE UNTUK MENENTUKAN PERSEDIAAN BARANG DI TOKO ATK MITRA Siti Nurul Huda, Arla; Mufarrihah, Iftitaahul; Fatkhur Rizal, Muhammad; Lazulfa , Indana
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.v9i2.8868

Abstract

The research aims to design and build a system of inventory prediction using the Weighted Moving Average (WMA) method at ATK Partner Store. These stores have problems in managing inventory, often in excess or shortage of inventory. To address the problem, the study used the WMA method, which gives greater weight to the latest data, to improve the accuracy of predictions. The data used in this study is sales data from January to May 2024. Using this data, predictions are made for June 2024 and beyond. The research process involves several stages, including data collection, system needs analysis, system design, implementation, and system testing. The system is designed using PHP as a server-side programming language to ensure optimal performance. Research results showed that the WMA method can produce inventory predictions with a high degree of accuracy, demonstrated by a Mean Absolute Percentage Error (MAPE) below 10% for each type of goods. For example, inventory forecasts for June 2024 showed highly accurate results with a MAPE value of 0.031679478%. The system developed enabled Partner Stores to plan inventory better, reducing the risk of surpluses or stock shortages. The benefits of this research are not only perceived by the Partner Shop, but also provide new insights to students and contribute to the university in the development of science in the field of information systems and forecasting of supply. This research can also serve as a reference for further research in the future. Keywords: Inventory, Forecast, Weighted Moving Average (WMA)
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING UNTUK PENDUKUNG KEPUTUSAN KELAYAKAN PENERIMAAN KEANGGOTAAN KARANG TARUNA DESA CUKIR Achmad Zakariya, Edo; Heru Mujianto, Ahmad; Zein Vitadiar , Tanhella; Kristianto , Hery
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.v9i2.8869

Abstract

This research aims to apply the Simple Additive Weighting (SAW) method as a decision support tool for determining the eligibility of new members in the village youth organization. The Simple Additive Weighting method is chosen for its ability to handle various criteria and rank candidates based on the weighted sum of each criterion. This process involves several stages, including identifying assessment criteria, assigning weights to each criterion, normalizing values, and final calculations to determine candidate rankings. The research findings show that the SAW method can be effectively and efficiently implemented, providing objective and transparent results in the new member selection process. In this study, the algorithm used is the Simple Additive Weighting algorithm. The results indicate that the selection system for Karang Taruna members functions well. With the testing of 20 applicant inputs, the system can calculate accurately. The system's assessment scored a total of 1217.5, and the manual calculation scored 1270.4, resulting in an accuracy percentage of 95.83%. Thus, it can be concluded that the system's accuracy is good and can facilitate obtaining value data from the selection of Karang Taruna member applicants. Keywords: Bumdesa, Simple Additive Weighting.
DECISION TREE UNTUK PREDIKSI SISWA TERBAIK BERBASIS WEBSITE PADA MTs DARUL FALAH Hadijah Pili, Astuti; Heru Mujianto, Ahmad; Augusta Jannatul Firdaus , Reza; Ali , Mahrus
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.v9i2.8870

Abstract

MTs Darul Falah is an agency that predicts the best students manually and still uses Excel, so the system that has been created will make it easier for teachers to predict the best students. In determining/predicting the best students the author uses the Decision Tree method. Decision Tree One of the classification algorithms that is commonly used to obtain non-binary classification results where the results will form the root of a decision tree. Therefore, the importance of the best student prediction system in making a decision. The aim of the research is to make it easier for schools to determine the best students who can be sent to take part in the Olympics. In this research, testing was carried out using Black Boks Testing. The results of this research are in the form of a website-based best student prediction system with data from 25 students who were predicted to be the best students. Overall it can be concluded that in testing the application the best student predictions were received according to what was needed. Keywords: Predictions, Decision Trees, Thesis Topics
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.
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENGAJUAN PINJAMAN UANG DI BMT MU’AMALAH SYARI’AH TEBUIRENG Listanto, Firgiawan; Lazulfa, Indana; Andriani, Anita; Sucipto , Hadi
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.v9i2.8872

Abstract

Technological developments have had a significant impact on the banking industry, especially in facilitating access to information and financial services. This research implements the K-Nearest Neighbor algorithm for classification of loan applications at BMT Mu'amalah Syari'ah Tebuireng. This research focuses on efficiency and accuracy in the loan application evaluation process which was previously carried out manually. The data used includes customer information collected through interviews and observations. After going through the data preprocessing and normalization stages, the K-NN algorithm is applied to classify loan applications based on parameters such as age, employment, monthly income, dependents, collateral, residence, and credit status. The implementation of this algorithm has been proven to be able to speed up the evaluation process and reduce the risk of errors in decision making, thereby providing significant benefits in improving service quality and operational efficiency at BMT Mu'amalah Syari'ah Tebuireng. Keywords: K-Nearest Neighbor, Classification, Loan Application, BMT Mu’amalah Syari’ah Tebuireng
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
RANCANG BANGUN SISTEM PAKAR PEMBAGIAN WARIS BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING Naufal Ulumuddin, Muhammad; Heru Mujianto , Ahmad; Mashuri , Chamdan; Rusdyanto, Didiek
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.v9i2.8874

Abstract

Inheritance law in Islam is commonly referred to as Faraidh. In the Islamic community, Faraidh is the science that deals with the distribution of inheritance. This subject is rarely studied, resulting in a lack of understanding among the public about Faraidh. This research aims to develop an expert system that can distribute inheritance according to those entitled to receive it. The expert system is web-based, using PHP programming language and MySQL database, and employs forward chaining reasoning and production rules (if-then rules) as the procedure for solving inheritance distribution. The methodology used is the waterfall methodology. The result of this research is an expert system that can distribute inheritance according to who is entitled to receive it, the amount of each share, the percentage of the total inheritance received from the net estate after deducting wills, funeral expenses, and debts. Keywords: inheritance, expert, Faraidh, forward chaining.

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