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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Lazulfa , Indana
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Computer Science & IT

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PENERAPAN METODE VIKOR DALAM SELEKSI PEMBERIAN REWARD PADA RESELLER CAN BEAUTY JOMBANG BERBASIS WEBSITE Fajriyatus Sa’adah , Thulu’ul; Lazulfa , Indana; Andriani , Anita
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.v8i2.6166

Abstract

Can Beauty is one of the businesses engaged in beauty in skin care. The provision of rewards to resellers is still seen from the success of sales achievement targets and there has been no assessment based on other supporting criteria. In addition, the selection process has not used a computerized system or by being directly selected by the Owner. From these problems, a decision support system is needed to solve the problem. The VIKOR method was chosen for its ability to classify and compromise existing alternatives. Therefore, this method is considered very effective when choosing in the selection of rewards to resellers. The VIKOR method is a simple rating method and can be used to choose from several criteria to get accurate results. By applying the VIKOR method, it is expected to be able to produce more accurate and objective output in the selection process of giving rewards to Can Beauty Jombang resellers. The calculation procedure for the VIKOR method in this system is based on predetermined standards, among others, the number of packages every 6 months, the type of transaction payment, the attitude of the reseller and the length of subscription. As well as weights for each criterion and obtained ranking results and taken the top 25 ranks. By using the VIKOR method, Can Beauty Jombang Distributors can determine which resellers are entitled to receive rewards. Keywords: Decision Support System, VIKOR, Reseller Reward
SISTEM REKOMENDASI PEMILIHAN APLIKASI TERBAIK DI PLAY STORE MENGGUNAKAN SAW BERBASIS WEB Irfan Fanani , Muhammad; Lazulfa , Indana
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.v8i2.6169

Abstract

As information technology advances, Android is the most popular operating system among the various options for mobile devices. Since Android apps are open source, developers find it easy to build. Android apps are easy for developers to create because of their open source nature. This will complicate the selection of the ideal application. By creating the best application recommendation system, this problem can be solved. The Simple Additive Weighting (SAW) approach is one way to overcome the problem of selecting the right application. The weighting method is another name for the Simple Additive Weighting (SAW) technique. Finding the weighted total performance rating for each alternative across all categories is a basic principle of the SAW approach. For this approach to work, X's choice matrix must be normalized to a scale that can be compared with all other available alternative ratings. The findings of this study resulted in a web-based application as the final product. The purpose of using this strategy is to make the calculation process simple and easy. To compile various criteria, weighting criteria, variables, matrices, and ranking values based on the SAW technique formula. from the results of this approximation and the results of each calculation, it is suggested that the option with the highest value is selected as the best application. Keywords : Android Application, Recommendation System, Simple Method, Additive Weighting (SAW), Web.
ANALISA SENTIMEN PADA REVIEW OPERATOR SELULER 3 (TRIINDONESIA) TERHADAP MEDIA SOSIAL (TWITTER) MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Nur Masita , Desy; Zein Vitadiar , Tanhella; Lazulfa , Indana; Widoyoningrum , Sri
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.v8i2.6203

Abstract

Cellular operators are service products that provide services to users, one of which is cellular operators 3. The use of services by cellular operators has negative and positive ratings, therefore researchers make observations on the use of cellular operators by using sentiment analysis to determine positive or negative values. In the sentiment analysis, the researcher used the naïve Bayes method to draw conclusions from the observed ratings in negative, positive, and neutral forms. Observing this, the researcher conducted an assessment on social networks, namely Twitter. Because on these social networks users can usually express evaluations of whatever they feel like using cellular operators 3. So the results obtained from sentiment assessments can be in the form of tweets such as signal disturbances, internet errors, and regarding good service as a consideration for improving the quality of cellular operators 3. Through this sentiment analysiscan help researchers to easily get a classification of positive, negative and neutral values.Keywords: Cellular Operators, Twitter, Naïve Bayes.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SANTRI TELADAN MENGGUNAKAN METODE AHP BERBASIS WEB Rizal Ghozali , Wahyu; Lazulfa , Indana
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.v8i2.6541

Abstract

In determining the order of model students, it is very difficult because there is no system that helps in making decisions. So that this does not happen, a model is used that can help decision makers to determine superior students according to the criteria set by Islamic boarding schools. A Decision Support System (DSS) is a system it is intended to be a tool for decision makers to improve their skills, but not to influence their judgment. DSS are intended for decisions that require judgment or cannot be supported by algorithms at all.. The process of selecting who is entitled to receive the title of model students and get a scholarship at the Darul Qowaid Islamic Boarding School still experiences problems in the decision-making process. The purpose of this study is to create a web-based decision support system using the Analytical Hierarchy Process (AHP) method, as there is currently no objective way to quickly determine scholarship eligibility based on available data.The results of this study are that the application of a decision support system for selecting model students with the AHP method has succeeded in determining the final result or decision result issued by the system. Keywords: Model Student, Analytical Hierarchy Process (AHP), Decision Support System, Web.
IMPLEMENTASI METODE WEIGHTED PRODUCT DALAM MENENTUKAN LEVEL KONDISI PENYANDANG DISABILITAS MENTAL DI JOMBANG Kurniawan , Rizal; Lazulfa , Indana
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6542

Abstract

Based on statistical data from the Jombang Regency Central Bureau of Statistics, there are quite a large number of persons with disabilities in Jombang Regency, namely 1,720 people. The Jombang Regency Social Service carries out its duties, namely social rehabilitation for people with disabilities in Jombang Regency. For mental disabilities, care and treatment must be efficient and on target so that several criteria are made that are met to determine the level of severe conditions, mild conditions, or moderate conditions. The criteria measured were reading ability, numeracy ability, writing ability, motoric ability, and verbal thinking ability.With the results of this study it is possible to apply the weighted product method in conducting a decision support system to determine the level of the condition of persons with mental disabilities in Jombang. The system can recommend names of people with disabilities who have the highest recovery rate, from the results of manual calculation analysis and system calculations the results are declared valid. Keywords: Decision Support System, Weighted Product, Condition Level, Mental Disa
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)
Co-Authors Andriani , Anita Fajriyatus Sa’adah , Thulu’ul Fatkhur Rizal, Muhammad Iftitaahul Mufarrihah Irfan Fanani , Muhammad Kurniawan , Rizal Nur Masita , Desy Rizal Ghozali , Wahyu Siti Nurul Huda, Arla Widoyoningrum , Sri Zein Vitadiar , Tanhella