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All Journal JURNAL SISTEM INFORMASI BISNIS Register: Jurnal Ilmiah Teknologi Sistem Informasi JPM (Jurnal Pemberdayaan Masyarakat) Applied Information System and Management JURNAL PENDIDIKAN TAMBUSAI JBT (JURNAL BISNIS dan TEKNOLOGI) Generation Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Journal Software, Hardware and Information Technology Academic Journal of Computer Science Research (AJCSR) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Dinamis: Jurnal Pengabdian Kepada Masyarakat Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Mujianto, Ahmad Heru
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Rancang Bangun Web E-Commerce Menggunakan Metode Collaborative Filtering (Study Kasus: Toko aksesories tata) Aisha, Dita; Dwi Indriyanti, Aries; Heru Mujianto, Ahmad
Inovate Vol 5 No 1 (2020): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i1.3078

Abstract

E-Commerce is one of the alternative choices for a store that is used as a medium of information in order to facilitate interaction between sellers and consumers. The number of products, the variety of products in an e-commerce, often makes consumers feel confused about choosing the product they need. This resulted in a repetitive and time-consuming transaction process. Consumers are often confused about finding information on the rating of the product the user wants to buy. In this study, a Web e Commerce was created which was able to provide recommendations automatically to the user. The method used is the Collaborative Filtering method using Addjusted Cossine Similarity as a tool or method of calculating the similarity between users, then the weigted sum algorithm as the prediction calculation. Collaborative Filtering is used to assist users in selecting the appropriate item based on ratings given by other users. Keywords: Collaborative Filtering (CF), Recommendations, E-commerce Website.
Perancangan Sistem Informasi Prediksi Curah Hujan Pada Kabupaten Jombang Menggunakan Metode Fuzzy Time Series Suhartanto, Martin; Dwi Nuryana, I Kadek; Heru Mujianto, Ahmad
Inovate Vol 6 No 1 (2021): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i1.3167

Abstract

Weather and climate information is very important for some people to support life. In agriculture, for example, climate change has a major effect on changing planting patterns. Fuzzy Time Series (FTS), Rainfall prediction is used to understand the intensity of future rainfall that serves as a reference in making the right decisions and preparing to address future problems. In this study using the Fuzzy Time Series (FTS), this method can be used to solve forecasting problems with linguistic historical data and real numbers by converting the real number data into linguistic variables. The results of this study are a website-based system that can predict rainfall in the coming year by using previous rainfall history data as a reference for prediction calculations. from the calculation done by the system in predicting rainfall by using the Fuzzy Time Series method as an example in this silver sub-district produces an average mape value of 0.90 which means it has excellent performance because it produces an average mape forecasting error value of less than 10. Key words: Prediction, Rainy, FTS, website
Evaluasi Penggunaan Google Classroom Dengan Metode End User Computing Satisfaction (EUCS) Fatkhur Rizal, Muhammad; Heru Mujianto, Ahmad; Setyo Permadi, Ginanjar
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3675

Abstract

In this study, an evaluation was carried out on the LMS Google Classroom which has been used as an online learning medium, especially at the Faculty of Information Technology, Hasyim Asy'ari University during Covid-19. The impact of the covid-19 pandemic has led to online learning activities. This aims to keep the learning process running even during the Covid-19 pandemic. The evaluation used in the Google Classroom LMS uses the EUCS method which has five dimensions in its measurement including Content, Accuracy, Format, Ease of Use, and Timelines. The results of this study were obtained from data analysis on evaluating the use of the Google Classroom LMS using the EUCS method, which was 82.79%, with the assessment criteria being "Good". Keywords: Learning, Google Classroom, Evaluation, EUCS.
Rancang Bangun Sistem Informasi dan Prediksi Penjualan Jamu menggunakan Metode Fuzzy Time Series Rohman, Abdur; Sucipto, Hadi; Heru Mujianto, Ahmad
Inovate Vol 7 No 2 (2023): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i2.4114

Abstract

Information systems and sales predictions for herbal herbal medicine are needed to see sales developments in the form of graphs and tables, while predictions are used to see sales predictions in the next 3 days, 7 days ahead, 14 days ahead and 1 month ahead. The function besides seeing sales predictions is also used for future stock planning. The prediction method used is fuzzy time series cheng by utilizing sales data in the past with the first stages of collecting actual data, determining the width of the interval and the number of intervals, defining fuzzy sets, fuzzification, making tables of Fuzzy Logic Relations and Fuzzy Logic Relations Group and the last defuzzification. For the accuracy of the prediction results using the MAPE formula where in this study for 3 days prediction the MAPE value was 13.31% while for 7 days it was 7.25%, for 14 days it was 10.53% while for 1 month it was 6 ,64%. The result of this research is an information system which contains sales charts, sales tables, stock information and sales predictions Keywords: Herbal Medicine, Sales Prediction, Fuzzy Time Series
IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN PRODUK MINUMAN PADA WARALABA MINUMAN DI JOMBANG Muhammad Dhany Al Farizy; Lazulfa, Indana; Ahmad Heru Mujianto; Zein Vitadiar, Tanhella
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.v9i1.7251

Abstract

This research aims to identify purchasing patterns of beverage products at a Beverage Franchise inJombang by applying the apriori algorithm, which the algorithm is one of the data mining methods used touncover association rules among a set of items. There are two important parameters used in findingassociation rules, namely support and confidence. This research utilizes sales transaction data of beverageproducts over February 2024. The analysis process includes several key stages, such as data collection,data preprocessing, parameter determination, application of apriori algorithm, and result analysis. Theresearch results show that apriori algorithm is capable to identifying the purchase patterns of beverageproducts conducted by consumers. Out of the 124 association rules formed, there are several itemcombinations with the strongest association rules among others. In the 3-itemset combination, there is acombination of purchasing Esteh Melati, Cookies & Cream, and Esteh Matcha Original with a confidencevalue of 100% and a lift ratio of 1,38. Meanwhile, in the 2-itemset combination, there is a combination ofpurchasing Esteh Matcha Original and Cookies & Cream with a confidence value of 90,48% and a liftratio of 1,25. Therefore, it can be concluded that apriori algorithm can understand consumers purchasingbehavior and assist business owners in making decisions to formulate strategies of their business.Keywords: Apriori Algorithm, Purchase Patterns, Beverage Products, Data Mining
IMPLEMENTASI METODE NAIVE BAYES UNTUK KLASIFIKASI PENENTUAN KELAS PENGAJIAN DI MA’HAD AL-JAMI’AH UNHASY TEBUIRENG JOMBANG Khoiry Mahmud; Ahmad Heru Mujianto; Mufarrihah, Iftitaahul; Muhammad Fatkhur Rizal
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.v9i1.7252

Abstract

Data mining is a phase in the knowledge discovery in databases (KDD) process that seeks to identifyimportant, useful, and simply understandable new patterns or models. The recitation class at Ma'had Al-Jami'ah UNHASY Tebuireng Jombang was established using the classification method in data mining forthis study. Ma'had Al-Jami'ah UNHASY is an educational institution associated with Hasyim Asy'ariUniversity. Its primary focus is on fostering entrepreneurship and pesantren. Currently, the selectionprocess for recitation classes, specifically tahfidz and tahsin classes, is still carried out manually, leading toa time-consuming and ineffective procedure. The aim of this project is to develop a classification systemthat utilizes the Naïve Bayes method to accurately identify recitation classes. The Naïve Bayes approachwas chosen for its simplicity and ease of implementation. The dataset attributes used in this inquiry are thetest results of the mahasantri in writing, memory, and reading the Quran. This research is expected to helpthe administration of Ma'had Al-Jami'ah UNHASY in improving the process of selecting recitation classesto make it more efficient and effective. Furthermore, it will provide a system with the ability to categorizethe classes of Ma'had Al-Jami'ah mahasantri into two distinct groups: "Tahfidz" and "Tahsin”.Keywords: Data mining ,classification, Naïve Bayes Algorithm
ENERAPAN METODE FORWARD CHAINING DALAM SISTEM PAKAR DIAGNOSA KERUSAKAN AIR CONDITIONER (AC) BERBASIS WEB Muhammad Rizal Dwiki; Ahmad Heru Mujianto; Mashuri, Chamdan; 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.v9i1.7266

Abstract

Air conditioners (ACs) are widely used cooling devices in various places such as homes, offices, ANDeducational institutions. Continuous use of ACs often leads to malfunctions that require hANDling bytechnicians. However, newly graduated technicians often struggle to diagnose malfunctions efficiently due toa lack of experience. To address this issue, this research aims to develop a web-based expert system using theforward chaining method, designed to assist AC technicians in diagnosing malfunctions quickly ANDaccurately. The forward chaining method is employed to trace symptoms through a series of questions thathelp technicians identIFy the parts that need repair, covering 30 symptoms AND 13 AC malfunctions. Thisexpert system is expected to improve the efficiency of technicians in diagnosing AND repairing ACs. Theresults of the research indicate that the developed expert system functions well, facilitates technician accessfrom anywhere with a user-friendly interfaceKeywords: Air conditioner, expert system, forward chaining, malfunction diagnosis, web-based.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEKNISI TERBAIK PADA CV. PERDANA MITRA INOVASI MENGGUNAKAN METODE MOORA Aldi Kurniawan; Ahmad Heru Mujianto; Tanhella Zein Vitadiar; Kristianto, Hery
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.v9i1.7279

Abstract

Information technology is developing very rapidly, many companies face complex challenges in theiroperational management, including CV. Perdana Mitra Inovasi Jombang, an ISP (Internet Service Provider)that is a subnet of PT. Digital Media Telematika Lamongan. This company struggles with selecting the besttechnicians due to a manual selection process that is highly subjective. Network reliability and servicequality, which depend on the technicians' skills, are key to maintaining customer satisfaction andcompetitiveness in the market. Therefore, a system that utilizes information technology is needed to enhanceobjectivity and consistency in technician selection. The MOORA method was chosen to develop this systembecause it effectively addresses multi-criteria problems by considering various relevant factors. MOORAallows for the evaluation of alternatives based on established criteria and assigns weights according to theirimportance, such as attendance, discipline, skills, teamwork, and attitude. With this implementation of themethod, the company is expected to optimize the process of selecting the best technicians, provide monthlyperformance rewards, and motivate technicians to contribute significantly. This system is anticipated topositively contribute to the company by maintaining customer satisfaction and sustaining competitiveness inthe market.Keywords: Selection, Best Technician, Decision Support System, Moora.
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.
Co-Authors Abdur Rohman Achmad Zakariya, Edo Adinda Yuli Setiani Aisha, Dita Aldi Kurniawan Aldi Sawung Sajiyanto Ali , Mahrus Anditha Putri Fasha, Kharisma Anita Andriani ANITA ANDRIANI, ANITA Ansyori, Moch Faizal ARIES DWI INDRIYANTI, ARIES Aries Dwi Indriyanti, Aries Dwi Arsam, Rinaldo Yudianto Augusta Jannatul Firdaus , Reza Bambang Soedijono, Bambang Bariyyah, Sitti Khairul Diah Puspita, Dwi Ratna Ayu Eri Sasmita Susanto Faizah, Arbiati Fatkhur Rizal, Muhammad Ginanjar Setyo Permadi Habibanis, Fauzani Hadi Sucipto Hadi Sucipto Hadi Sucipto, Hadi Hadijah Pili, Astuti Henderi . I Gusti Lanang Eka Prismana I Kadek Dwi Nuryana I Kadek Dwi Nuryana Iftitaahul Mufarrihah Iftitaahul Mufarrihah Indana Lazulfa Indana Lazulfa, Indana Ismail Budi Aswin Khoiry Mahmud Kistofer , Terdy Kistofer, Terdy Kristianto , Hery Kristianto, Hery Kusmiatun M. Renaldi Wildan F Mahfudiyanto Mahrus Ali Mahrus Ali Mashuri, Chamdan Mauludi, Kartika Mohammad Fikri Agus Setiawan Muhammad Dhany Al Farizy Muhammad Fatkhur Rizal Muhammad Rizal Dwiki Muhammad Toha Muhimmatul Mahmuda Nurnanda Yudha Prawira Putri, Unzilla Savika Radityo Wiratsongko Rahma Ramadhani Reza Augusta Jannatul Firdaus Rizal, Muhammad Fatkhur Sahlan M Saleh Slamet Wirawan Sri Widoyoningrum Suhartanto, Martin Suryo Sasono, Damar Tanhella Zein Vitadiar Terdy Kistofer Umi Rahmawati, Evis Vitadiar, Tanhela Zein Widiantoro, Muh Riandi Yudistira Putra, Rocky Ardiansyah Zein Vitadiar , Tanhella Zein Vitadiar, Tanhella