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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 219 Documents
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PENERAPAN SISTEM INFORMASI PENGGAJIAN KARYAWAN BERBASIS WEB PADA CAFE TEATIME MENGGUNAKAN METODE GROSS M. Renaldi Wildan F; I Kadek Dwi Nuryana; Ahmad Heru Mujianto; Kistofer, Terdy
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7280

Abstract

Employees usually receive a fixed salary from the company and can also be interpreted as a motivation toemployees that can be done periodically. The remuneration is made up of basic salary, overtime, and so on.The administration calculates the salaries of employees and the data necessary for the salary calculationprocess such as employee data, employee time accuracy reports, and such reports are obtained through theprocessing of the percentage of employees received when recapitulating the presence and working hours datafrom HRD. In the calculation of salaries, three methods that can be applied by the agencies of the cafe areavailable Net, Gross method, and Gross Up method. The processes that have not been integrated into thesystem including data processing and the process of employee wage calculation are still manual.A summary of the results of this study is a web-based employee remuneration application that can helpinternal cafes such as HRD, admin, general manager, and general manager.Keywords: wage system, gross, information system.
SISTEM INFORMASI PERAMALAN PERSEDIAAN OBAT MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE BERBASIS WEBSITE (STUDI KASUS PT. BARRIZ SANTUN JAYA) Kusmiatun; Tanhella Zein Vitadiar; Ahmad Heru Mujianto; Kistofer, Terdy
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7281

Abstract

This study aims to build a pharmaceutical drug inventory forecasting system at PT Barriz Santun Jayausing the Weighted Moving Average method and error accuracy using Mean Absolute Percentage Error(MAPE). The object of forecasting in this study is drugs that fall into the fast moving category or drugsthat sell faster. The results of the research conducted by the system can provide comparative informationbetween actual data and forecasting results, besides that the system can display the estimated druginventory in the following month and produce an error using MAPE, while the forecasting results fall intothe category of being quite feasible in predicting the stock of fast moving drug supplies at PT BarrizSantun Jaya because it has an average error value between 20% - 23%. In conclusion, it is necessary tocompare using other methods, in order to see the accuracy of the forecasting results, while the accuracy ofthe error results can be minimized by comparing through calculations in certain periods, until you get atotal weight that is considered appropriate for forecasting.Keywords: Forecasting, Pharmaceutical Drugs, Weighted Moving Average, Website.
SISTEM PENJADWALAN BIMBINGAN BELAJAR BERBASIS WEB MENGGUNAKAN ALGORITMA GENETIKA Adinda Yuli Setiani; Ahmad Heru Mujianto; Andriani, Anita; Sri Widoyoningrum
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7282

Abstract

Scheduling is the act, process, and method of scheduling or entering schedule data involves preparingactivities for a specific period while considering a number of variables, including classes, teachers, and time.The scheduling procedure at Omah Sinau Tutoring is still done manually. This causes inefficient use of timeand will affect the standard of education received by students. Omah Sinau Tutoring uses genetic algorithmsas an optimization technique to create schedules in order to overcome this problem. Many optimizationproblems can be solved with genetic algorithms. The benefits of analogies between the mechanisms ofnatural selection and the mechanisms of interbreeding, mutation, and other features inherent in the geneticalgorithm process serve as the basis for genetic algorithm solutions, rather than mathematical calculations.Genetic algorithms are capable of handling complex problems that are challenging to tackle by traditionalapproaches. The number of populations, generations, crosses, and mutations that can be handled by thegenetic algorithm to solve the problem by generating optimal scheduling and reducing the time needed tocreate the schedule so that the process of creating it becomes effective and efficient are the parameters used,based on the results of the tests conducted.Keywords: scheduling, genetic algorithm, tutoring.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PRIORITAS PERBAIKAN GANGGUAN JARINGAN FTTH PADA CV. PERDANA MITRA INOVASI MENGGUNAKAN METODE TOPSIS BERBASIS WEB Slamet Wirawan; I Gusti Lanang Eka Prismana; Ahmad Heru Mujianto; Tanhella Zein Vitadiar
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7283

Abstract

Information technology has become a crucial element in various fields, including services in Indonesia,which continue to develop rapidly. The use of information technology allows companies to accessinformation quickly, accurately, and precisely, as well as provide effective and efficient services. CV PerdanaMitra Inovasi, a local internet service provider in Rejoagung Village, Jombang Regency, faces challenges inthe conventional and slow customer complaint reporting process. With thousands of customers and a limitednumber of admins, prioritizing issues is difficult.In order to solve this issue, a decision support system (DSS) based on the TOPSIS technique was created toassist in establishing the importance of fixing FTTH network issues.. This system allows for the selection ofissues that should be addressed first and provides a list of repair solutions. The TOPSIS method was chosenbecause it can combine quantitative and qualitative elements accurately and precisely. The criteria in thecalculation include the number of affected customers, the number of technicians required, repair costs,estimated repair time, and distance. It is anticipated that using this method, the decision-making process inhandling FTTH network issues will be faster and easier, resulting in more optimal customer service.
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.
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.
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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