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Analisis Clustering Donor Darah dengan Metode Agglomerative Hierarchical Clustering Yulianti, Dessy; Hermanto, Teguh; Defriani, Meriska
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 6 (2023): RESOLUSI July 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i6.977

Blood is a fluid that has the function of supplying nutrients, transporting metabolic products, sending oxygen and as natural antibodies to fight viruses or bacteria in the body. The Blood Donor Unit (UDD) of PMI (Indonesian Red Cross) is one of the agencies responsible for ensuring the availability of blood. To meet this availability, this agency carries out various programs, in an effort to ensure that the availability of blood is maintained. But in reality, there is a gap between supply and demand, where the need for blood is higher than the supply of blood. The problem of relatively high demand and a minimum number of blood donors can be used as a research topic, with the aim of producing information about the number of donors, blood types and availability, and temporary donor sites in each sub-district in Purwakarta district. This research will use the Agglomerative Hierarchical Clustering (AHC) algorithm, with the methodology used, namely SEMMA, the stages are: sample, explore, mpodify, model, and assess. The attributes used are id, district, blood group, latitude and longitude. From these attributes, clustering is made using the Agglomerative Hierarchical Clustering (AHC) algorithm using Orange, and visualized using Power BI. The research results from this data cluster get 3 clusters, the most donors are in Purwakarta District and followed by Bungursari District. Then the evaluation was assessed using the Silhouette Coefient which resulted in an accuracy rate of 0.713346292

Lecturer Performance Evaluation System Using Simple Multi Attribute Rating Technique (SMART) Method in STT Wastukancana Purwakarta Gito Resmi, Mochzen; Defriani, Meriska; Sri Andar Muni, Lise; Kaniawulan, Ismi; Hasanah, Nurul
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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The use of a decision support system (DSS) can help someone in making accurate and targeted decisions. Many problems can be solved by using this decision support system, one of which is to assess the performance of lecturers. In determining the assessment of lecturer performance, there are several criteria that must be possessed by each individual to be used as an assessment of lecturer perfomace. The method that can be used for this decision support system is the Simple Multi-Attribute Ratting Technique (SMART) method. This study aims to provide an ssessment of the performance of lecturers at STT Wastukancana to improve the quality of internal and external services.

Perancangan SPK Kelayakan Pinjaman Koperasi Karyawan Perum Jasa Tirta Karya Bhakti Raharja dengan Metode MAUT Rivaldy, Noval; Irmayanti, Dede; Defriani, Meriska
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.581

Globalization that is happening is causing increasingly sharp free competition among economic actors, including cooperatives. Cooperatives until now continue to grow and become the mainstay of the community to turn the wheels of the economy during this pandemic and also experience various obstacles to run their business. However, under current conditions, in addition to very fast technological developments, cooperatives are also being pressured by the covid-19 pandemic, which causes cooperatives to be able to optimize digitalization. The loan eligibility decision support system applies the multi attribute utility theory (MAUT) method with 4 criteria or conditions that become the basis for decisions in the Perum Jasa Tirta Cooperative (PJTII) Karya Bhakti Raharja development model using the Extreme Programing method starting from the planning stage to the testing stage, using php programming language Data Flow Diagram (DFD) modeling. Loan Eligibility Decision Support System in PJT II Cooperatives to facilitate cooperative employees in determining loans to PJT II Employees. With this it is necessary to take advantage of a technological development, where how to make it easier for employees to make decisions from the assessment of the Multi Attribute Utility Theory (MAUT) method, because subjective assessments can be modeled and supported quickly.

Perancangan SPK Kelayakan Pinjaman Koperasi Karyawan Perum Jasa Tirta Karya Bhakti Raharja dengan Metode MAUT Rivaldy, Noval; Irmayanti, Dede; Defriani, Meriska
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.581

Globalization that is happening is causing increasingly sharp free competition among economic actors, including cooperatives. Cooperatives until now continue to grow and become the mainstay of the community to turn the wheels of the economy during this pandemic and also experience various obstacles to run their business. However, under current conditions, in addition to very fast technological developments, cooperatives are also being pressured by the covid-19 pandemic, which causes cooperatives to be able to optimize digitalization. The loan eligibility decision support system applies the multi attribute utility theory (MAUT) method with 4 criteria or conditions that become the basis for decisions in the Perum Jasa Tirta Cooperative (PJTII) Karya Bhakti Raharja development model using the Extreme Programing method starting from the planning stage to the testing stage, using php programming language Data Flow Diagram (DFD) modeling. Loan Eligibility Decision Support System in PJT II Cooperatives to facilitate cooperative employees in determining loans to PJT II Employees. With this it is necessary to take advantage of a technological development, where how to make it easier for employees to make decisions from the assessment of the Multi Attribute Utility Theory (MAUT) method, because subjective assessments can be modeled and supported quickly.

Implementation of Copras Method for Decision Support Systems in Determining Purwakarta Tourist Destinations Gito, Mochzen; Muhyidin, Yusuf; Wibawa Pratama, Ariya; Defriani, Meriska
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Purwakarta Regency has a variety of interesting tourist destinations, but the large number of choices often makes it difficult for tourists to determine the location that suits their preferences. This research aims to build a web-based decision support system (SPK) with the Complex Proportional Assessment (COPRAS) method to help select the best tourist destinations. The research methods include problem identification, literature study, data collection, implementation of the COPRAS method, and system testing. The criteria used in the evaluation process include cost, distance, tourist facilities, operating hours, accessibility, and reviews of digital maps. The results of the implementation of the COPRAS method show that Panenjoan Village is the destination with the highest ranking with a value of 1,000. This system can make it easier for tourists to choose a destination that suits their needs

Strategy of Opening MyRepublic Wi-Fi Provider Area In Purwakarta District Using Moora Method Defriani, Meriska; Resmi, Mochzen Gito; Alam, Syariful; Irmayanti, Dede
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 1 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i1.2615

In today's digital era, the internet has become a basic need that is inseparable from the lives of modern society. Almost all aspects of human life now depend on internet connectivity, from communication, education, work, entertainment, to financial transactions. The development of digital technology and increasingly widespread internet penetration have changed the way people live, work, and learn. The trend of internet usage, especially in Indonesia, continues to experience significant growth from year to year. As the need for internet access in Indonesia increases, determining a strategic location is an important factor for service providers such as MyRepublic to expand Wi-Fi coverage. This study aims to assist the decision-making process using the Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) method. The study was conducted in Plered District, Purwakarta Regency, with five alternative locations: Citeko Village, Cadasmekar, Citalang, Batutumpang, and Liunggunung. Data were obtained through observation and interviews, with criteria including the number of houses, resident responses, competitors, administrative costs, and distance to the Optical Line Terminal (OLT). The results showed that Citalang Village had the highest preference value (Yi = 0.2735), followed by Batutumpang (Yi = 0.2356) and Cadasmekar (Yi = 0.2178). The MOORA method has proven effective in analyzing multi-criteria, providing optimal location recommendations based on data. In conclusion, this method can help companies make strategic decisions more focused and accurate.

Recognition of Regional Traditional House in Indonesia Using Convolutional Neural Network (CNN) Method Defriani, Meriska; Irsan Jaelani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1562

Indonesia is a country that has a lot of cultural diversity. This cultural diversity needs to be preserved. If this is not done, the culture that is owned by Indonesia can slowly disappear. The reduction in cultural values can also reduce the sense of belonging to the culture. This lack of sense of ownership makes it easy for other nations to make claims on the culture that is owned by Indonesia. Indonesia will lose its characteristics as a country that has a lot of cultural diversity. One of the efforts to preserve culture is to recognize the characteristics of each culture and be able to recognize the differences between one culture and another. For example, recognizing traditional houses from various ethnic groups based on their image. In this research, the image classification of the characteristics of traditional houses from several ethnic groups in Indonesia was carried out. The classification used to identify an image. In this study, deep learning techniques are used with the Convolutional Neural Network (CNN) algorithm and Keras framework. This CNN use several layers namely convolutional, pooling, flatten, and dense layer. The development of deep learning models uses the Knowledge Discovery in Database (KDD) method. This method consists of nine stages. The built model is evaluated using k-fold cross validation with a k value of 5 and produces an average accuracy of 80%. This shows that the model built is capable of classifying well. The built model is evaluated with 3 different epoch values, namely 50, 75, and 100. The larger the epoch value used, the greater the accuracy value. The model built is also able to make predictions with an accuracy of 80%.

BATIK MOTIF CLASSIFICATION USING CNN WITH RESNET-50 ARCHITECTURE Wibisono, Muhammad Ridwan; Nugroho, Imam Ma’ruf; Defriani, Meriska
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Batik merupakan kerajinan tradisional Indonesia yang memiliki nilai seni tinggi dan telah diakui sebagai warisan budaya dunia oleh UNESCO pada 2 Oktober 2009. Namun, pengetahuan tentang identifikasi motif batik umumnya hanya dimiliki oleh mereka yang memiliki keahlian khusus, seperti pengrajin batik. Penelitian ini bertujuan untuk mengembangkan aplikasi berbasis Streamlit yang mampu mengklasifikasikan motif batik menggunakan metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-50 untuk dapat menjadi solusi dalam mengenalkan batik secara lebih luas kepada masyarakat, baik sebagai media edukasi maupun sebagai alat bantu bagi industri kreatif. Penelitian ini menggunakan metodologi CRISP-DM (Cross-Industry Standard Process for Data Mining) yang mencakup tahapan Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, dan Deployment. Model dilatih selama 21 epoch, dengan hasil akurasi pelatihan sebesar 99,31%, akurasi validasi 94,37%, loss pelatihan 2,4%, dan loss validasi 22,25%. Dalam evaluasi menggunakan 140 sampel citra batik, model mencapai akurasi 89,285%. Hasil ini menunjukkan bahwa aplikasi yang dikembangkan berhasil dalam mengklasifikasikan motif batik menggunakan CNN.

DESIGN AND DEVELOPMENT OF THE MOSQPRAY APPLICATION USING EXTREME PROGRAMMING METHOD Prayoga, Satrio Mukti; Defriani, Meriska; Sunandar, Muhamad Agus
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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This study aims to design and develop an Android application called MosqPray to help Muslims access prayer schedules automatically based on location and search for nearby mosques using the Google Maps API. The app includes prayer time reminders and favorite mosque saving features. The development method used is Extreme Programming (XP), which emphasizes short iterations and active user involvement. Observations of three similar apps revealed limited native mosque search features and issues with interface and ads. Testing shows MosqPray runs stably on Android 8.0 and above and provides accurate information. The app is expected to support timely prayer, especially in unfamiliar locations.

IMPLEMENTATION ANDROID ARCHITECTURE COMPONENT FOR DEVELOPING THE SIMLING APPLICATION (ENVIRONMENT MANAGEMENT SYSTEM) Arafat, Doni; Defriani, Meriska; Kaniawulan, Ismi
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Environmental management in Cluster Cahaya Mekar Wangi is still manual, utilizing WhatsApp and Excel for dues recording, financial reports, and security tracking, which often results in data errors and low transparency. This study developed SIMLING, an Android-based application, to digitalize and integrate these processes into a unified system. Built using the Waterfall model with Kotlin (frontend), Golang (backend), and MySQL in Docker (database), SIMLING offers real-time payment recording with receipt uploads, automated validations, transparent reports, QR-based security monitoring, and centralized notifications. The implementation shows SIMLING streamlines administrative tasks, improves transaction validation, and enhances security monitoring, while providing residents with easier payments and clear financial information. This supports smarter, more structured, and sustainable community management.

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