Garuda - Garba Rujukan Digital

Sistem Pendukung Keputusan untuk Menentukan Pemberian Beasiswa Menggunakan Metode Simple Additive Weighting (SAW) pada Sekolah MTs Mathlaul Anwar Winarti, Wiwin; Nurhayati, Nurhayati; Vindua, Raditia
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.12720

Scholarship means an assistance given to individuals (students) which aims to be used for the continuation of the education taken. Every year, MTS Mathlaul Anwar provides scholarships to outstanding students. The current selection of scholarships, which is still done manually, makes schools need to determine a clear way of calculating which students get the right scholarships so that the scholarships given are right on target. Therefore, a Decision Support System (SPK) application is designed which is expected to be able to determine scholarship recipients according to the qualifications determined by the school. SPK is expected to help select scholarship recipients. The existence of the proposed SPK can help schools in the selection process for scholarships easily, quickly and accurately. In this study, the author uses the Simple Additive Weighting (SAW) method which can provide assessment results based on each weight on each scholarship award qualification. The criteria for awarding scholarships are the value of knowledge, the value of skills, activeness in school activities (ex-curricular activities), attendance and morals. By making a decision support system by applying the SAW method, it is easier for schools to determine students who get scholarships. Of the five selected scholarship recipients, student D was found to be in the first rank with a result of 14.25.

PENGENALAN INTERNET OF THINGS IOT BAGI SISWA YAYASAN CAHAYA ISLAM MUTIARA IMANI GUNA MEMANFAATKAN KEMAJUAN TEKNOLOGI MASA KINI Vindua, Raditia; Nursakinah, Badriah; Nurhayati
Abdi Jurnal Publikasi Vol. 2 No. 4 (2024): Maret
Publisher : Abdi Jurnal Publikasi

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Technological advances not only make human work easier, but can also reduce human involvement in an activity. In other words, the sophistication of existing technology can enable electronic devices to always be connected to the internet and will automatically be able to carry out commands according to the user's desired program, where air conditioners, computers, printers, lamps and other electronic equipment can be operated automatically. automatically functions according to previously input commands or by utilizing a database which is then processed with Artificial Intelligence logic so that it can generate commands automatically. Basically what you need to know is that a school is an institution for teaching and learning activities as well as a place for receiving and giving lessons. School is a place for students to study and is trusted by the community as a place to learn, train skills and even the process of maturing children by absorbing education from school in accordance with the function of the school itself, namely filling children's brains with various kinds of knowledge. Therefore, to increase the knowledge and understanding of students at the Cahaya Islam Mutiara Imani Foundation regarding current technological developments, training was created in the context of community service regarding Introduction to the Internet of Things (IoT). IoT technology is a trend in the digitalization era that can facilitate human activities by integrating several devices that will be connected to the internet network. In other words, IoT technology has helped many schools provide the best learning experience. Where learning institutions that have not yet embraced IoT technology are hastened to embrace and adapt to this IoT technology trend. Where the role of IoT in the world of education is to provide a comfortable learning experience. This also includes the infrastructure needed so that IoT can work optimally. The advantages of IoT technology that can be used in the education sector include that it can increase learning engagement, can provide space for personalized learning and provides extraordinary media and access for students with special needs. The aim of introducing and implementing the Internet of Things itself is apart from increasing insight into Internet of Things technology and the function of IoT itself, it is hoped that the material presented by the PKM team can increase knowledge for students at the Cahaya Islam Mutiara Imani Foundation. Community service activities can be organized well and run smoothly in accordance with the activity plans that have been prepared. This activity was very well received as evidenced by the participants' active participation in the entire event process and the question and answer session regarding the material provided.

Implementation of Dart Programming Language in Mobile-Based DRs Snack Sales Application Design Vindua, Raditia; Handayani, Dede; Ekrinifda, Ardilla
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4203

DRs Snack has been making and selling snacks in the vicinity. However, they face problems in manually recording sales and generating accurate reports. Therefore, this project aims to design and implement a mobile-based sales system application that will help DRs Snack in managing sales and recording reports more efficiently. The main objective of this project is to design and develop a mobile-based sales system application with Dart programming language and Flutter framework that can help dRs Snack in recording sales transactions in real-time, generate sales and financial reports quickly and accurately, improve operational efficiency and decision making. The method used for system development is Extreme Programing, where this method has a development target through the determination of unclear needs or changes to the needs very quickly and through a small to medium-sized team. The results of this study can manage menus and orders that have been proven to increase operational efficiency. The implementation of this system is able to reduce the time required for order processing and improve the accuracy of data related to stock and revenue. With an integrated system, customer service can be improved and reduce human error in summarizing total payments and ensure accuracy in payments. The system enables better data analysis, especially in monitoring order history and sales recap to improve sales reports. Suggestions from researchers to maximize the features of existing features and add features to complement the features that are already running.

Naive Bayes Method In Sentiment Analysis Of Presidential Candidates For The 2024 Election Using Python Vindua, Raditia; Nurhayati, Nurhayati
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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The 2024 Election in Indonesia is an interesting topic for social media users. Social media has a big impact in building public political opinions, views, sentiments and preferences. Many political figures have been nominated for President based on public opinion. There are various opinions of media social users with negative, positive and neutral sentiments. However, determining the sentiment of social media users requires quite a lot of effort and time. The large number of incoming opinions regarding presidential election candidates encourages the need for methods that help to see public opinion effectively. Python is a programming language that can be used to answer these problems. By providing a standard library that is open source and has a wide range of applications in various fields. Classification will be carried out using the Naïve Bayes Classifier to determine the level of accuracy of the classification process carried out. Sentiment analysis in this research is a process carried out to find out what the results of sentiment analysis are regarding the public's response to the presidential candidates for the upcoming 2024 election and classify them into three classes using the Naïve Bayes method using Python. The results of this research showed that Python carried out sentiment analysis with the sentiment percentage results for candidate Anies Muhaimin with a positive class of 64.91%, neutral 28.07% and negative 7.02% with a Naïve Bayes accuracy value of 75%. For candidate Prabowo Gibran, the positive class is 12.38%, neutral 6.67% and negative 80.95% with a Naïve Bayes accuracy value of 81%. Meanwhile, the candidate Ganjar Mahfud has a positive class of 40%, neutral 50.67% and negative 9.33% with a Naïve Bayes accuracy value of 60%. So that we can identify public opinion about presidential candidates for the 2024 election using the Naïve Bayes method using Python.

Eksplorasi Dunia Komputer : Mengenal Komponen Perangkat Keras Bagi Generasi Muda Di Era Digital Sebagai Langkah Awal Menjelajahi Dunia Teknologi Saputra, Saldy; Vindua, Raditia; Bazuri, Ahmad; Maulana, Alpian; Apriyansyah; Bima Pradana, Diski; Asrul Mulis, Muh.; Ihdaudin; Saputra, Rivan
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Kegiatan Pengabdian Kepada Masyarakat (PKM) bertema “Eksplorasi Dunia Komputer : Mengenal Komponen Perangkat Keras Bagi Generasi Muda di Era Digital Sebagai Langkah Awal Menjelajahi Dunia Teknologi”, Pesatnya perkembangan teknologi digital di era modern ini menjadikan literasi teknologi sebagai kebutuhan esensial, terutama bagi generasi muda. Namun, pemahaman mendalam tentang dasar-dasar teknologi, khususnya perangkat keras komputer, masih terbatas di kalangan pelajar dan masyarakat umum. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan minat generasi muda terhadap dunia komputer dengan fokus pada pengenalan komponen perangkat keras. Program ini dilaksanakan melalui sesi edukasi interaktif yang mencakup identifikasi fungsi CPU, GPU, RAM, motherboard, penyimpanan (SSD/HDD), dan PSU, serta demonstrasi perakitan dan perawatan dasar komputer. Target peserta adalah siswa/i sekolah menengah pertama/atas di SMP Islam Terpadu Jihadul Mukhlishin. Metode yang digunakan meliputi presentasi, diskusi, simulasi, dan praktik langsung (jika memungkinkan) dengan dummy atau komponen asli. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap fungsi dan pentingnya setiap komponen perangkat keras, serta menumbuhkan rasa ingin tahu mereka untuk lebih mendalami bidang teknologi informasi. Kegiatan ini diharapkan dapat menjadi langkah awal yang konkret bagi generasi muda dalam menjelajahi dunia teknologi, membekali mereka dengan dasar pengetahuan yang kuat untuk menghadapi tantangan era digital dan berpotensi memicu minat pada karir di bidang teknologi.

IMPLEMENTASI DATA MINING DALAM OPTIMASI STOK BAHAN BAKU KUE DI PT. XYZ MENGGUNAKAN METODE K NEAREST NEIGHBOR Dwi Arya Putra, Vicco; Vindua, Raditia
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13665

Setiap perusahaan pasti menginginkan jumlah persediaan yang cukup agar proses produksi tidak terganggu. Jumlah yang besar karena banyak mengandung resiko seperti bahan baku rusak atau hilang karena kurangnya pengawasan, biaya pemeliharaan yang tinggi, uang yang tertanam dalam persediaan terlalu besar selain itu resiko uang pada bahan baku karena terlalu lama tidak dipakai. Dalam masalah ini, data mining dapat digunakan dalam proses penggalian data secara manual dari kumpulan data berupa pengetahuan yang tidak diketahui. Salah satu metode dalam data mining adalah metode K-Nearest Neighbor (K-NN) yang merupakan metode yang digunakan untuk klasifikasi berdasarkan kedekatan lokasi (jarak) suatu data dengan data lain. Tujuan dari penerapan metode K-NN dapat mengklasifikasikan objek baru berdasarkan attribut dan training sample, dimana dengan menggunakan metode K-NN, diharapkan dapat membantu perusahaan dalam mengefesiensi pembelian bahan baku kue dan mengoptimalkan tingkat persediaan sehingga mengurangi biaya pembelian bahan baku serta menghindari terjadinya kekurangan atau kelebihan stok yang dapat mempengaruhi proses produksi bahan kue perusahaan. Dengan menggunakan metode K-NN, PT. XYZ dapat mengoptimalkan bahan baku kue berdasarkan data histori. Dalam penggunaan K-NN sebagai alat prediksi menghasilkan nilai akurasi sebesar 95,00%. Dengan hasil akurasi yang cukup besar artinya metode K-NN dapat membantu perusahaan dalam perencanaan produksi dan pengadaan stok bahan baku.

Pemanfaatan Klasterisasi K-Means untuk Pengelompokan Berdasarkan Indikator Ekonomi, Digitalisasi, dan Produksi Komoditas Arbeit, Abraham Aldo; Ferdiansyah, Ferdiansyah; Adna, Muhamad Bakhrul; Ridwan, Muhamad; Vindua, Raditia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1388

Penelitian ini bertujuan untuk memanfaatkan algoritma K-Means Clustering dalam mengelompokkan entitas berdasarkan berbagai indikator seperti dampak krisis ekonomi, kinerja perusahaan, adopsi digital, dan produksi komoditas. Data yang digunakan berasal dari sumber sekunder, termasuk dataset krisis ekonomi global (1970-2017), indikator kinerja perusahaan, persentase pengguna internet di ASEAN (2010), serta produksi komoditas perkebunan di Gunungkidul (2019). Metode penelitian meliputi tahapan preprocessing data (seleksi fitur, penghapusan missing values, dan normalisasi), penentuan jumlah klaster optimal menggunakan Elbow Method, dan evaluasi kualitas klaster dengan Silhouette Score. Hasil penelitian menunjukkan bahwa K-Means mampu mengelompokkan entitas dengan efektif, seperti membagi negara berdasarkan tingkat keparahan krisis ekonomi, perusahaan berdasarkan kinerja, negara ASEAN berdasarkan adopsi digital, serta kecamatan di Gunungkidul berdasarkan produksi komoditas. Temuan ini memberikan implikasi praktis bagi pengambilan kebijakan dan analisis lanjutan di berbagai sektor.

Analisis Klaster Pembiayaan UMKM dan Sektor Ekonomi Menggunakan Metode K-Means di Jawa Tengah Mu'afifi, Ahmad Luthfi; Alfareza, Dzaky; Natarendra, Jagad Putra; Pratama, Mohammad Andry; Khafabih, Muhammad Rangga; Vindua, Raditia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1457

Usaha Mikro Kecil dan Menengah (UMKM) merupakan pilar utama dalam struktur perekonomian Indonesia. Salah satu bentuk intervensi strategis dari pemerintah dalam mendukung UMKM adalah melalui program Kredit Usaha Rakyat (KUR). Penelitian ini bertujuan untuk mengelompokkan data pembiayaan UMKM dan sektor ekonomi berdasarkan variabel plafon, outstanding, dan jumlah debitur, serta menilai pembiayaan berdasarkan kategori usaha mikro dan besar. Teknik data mining yang digunakan adalah klastering dengan algoritma K-Means. Hasil dari penelitian menunjukkan bahwa pembiayaan UMKM mendominasi lebih dari 97% total pembiayaan dan sektor perdagangan menjadi klaster utama dengan jumlah debitur terbanyak. Evaluasi model klaster dilakukan menggunakan Silhouette Score dan Davies-Bouldin Index yang menunjukkan kualitas klaster sektor ekonomi sangat baik. Penelitian ini memberikan kontribusi dalam pemetaan strategis pembiayaan UMKM melalui pendekatan klasterisasi yang terbukti efektif, serta menunjukkan kebaruan dalam mengintegrasikan evaluasi klaster berbasis metrik Silhouette dan Davies-Bouldin pada konteks pembiayaan daerah.

Monitoring Ketinggian Air Sebagai Pendeteksi Banjir Menggunakan Notifikasi Telegram Berbasis Internet Of Things Vindua, Raditia; Triaji, Hasmi Sya’Ban
TIN: Terapan Informatika Nusantara Vol 4 No 5 (2023): October 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i5.4266

Floods are stagnant water caused by blocked rivers or rainfall. Currently residents estimate the potential for flooding is still done manually, there is no monitoring system for detecting water levels and flood warnings. There is no use of ultrasonic-based technology and telegram information notifications for monitoring water level levels as flood detectors. In this study the authors used data analysis methods consisting of observations, interviews and literature studies. The stages of designing a water level monitoring tool system as a flood detector using the Rapid Application Development (RAD) method consist of Requirements Analysis, Design Workshop (Modeling) and Implementation (Implementation). The purpose of this research is to make a water level monitoring tool as a flood detector using an ultrasonic sensor. Assisting online monitoring of water levels via smartphone telegrams as early information on flooding and increasing citizen awareness to detect water levels. The results of this study are that the water level monitoring tool for flood detection can detect the water level properly and can help minimize losses from the impact of flooding on residents by using this tool. The ultrasonic sensor provides accurate information about the water level distance. The buzzer sounds according to the expected distance and sound intensity. Telegram warning notifications provide monitoring information and water level warnings as flood detectors according to the specified water level settings. The mini water pump pumps standing water and drains the water to a safe place when the ultrasonic sensor detects that the distance has reached the maximum limit.

Implementation of Dart Programming Language in Mobile-Based DRs Snack Sales Application Design Vindua, Raditia; Handayani, Dede; Ekrinifda, Ardilla
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4203

DRs Snack has been making and selling snacks in the vicinity. However, they face problems in manually recording sales and generating accurate reports. Therefore, this project aims to design and implement a mobile-based sales system application that will help DRs Snack in managing sales and recording reports more efficiently. The main objective of this project is to design and develop a mobile-based sales system application with Dart programming language and Flutter framework that can help dRs Snack in recording sales transactions in real-time, generate sales and financial reports quickly and accurately, improve operational efficiency and decision making. The method used for system development is Extreme Programing, where this method has a development target through the determination of unclear needs or changes to the needs very quickly and through a small to medium-sized team. The results of this study can manage menus and orders that have been proven to increase operational efficiency. The implementation of this system is able to reduce the time required for order processing and improve the accuracy of data related to stock and revenue. With an integrated system, customer service can be improved and reduce human error in summarizing total payments and ensure accuracy in payments. The system enables better data analysis, especially in monitoring order history and sales recap to improve sales reports. Suggestions from researchers to maximize the features of existing features and add features to complement the features that are already running.

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