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PEMILIHAN FINTECH PAYMENT QRCODE UNTUK PELANGGAN MENGGUNAKAN TOPSIS Rofiah, Syahbaniar; Setiyadi, Didik; Retnoningsih, Endang; Sandradewi, Kumaratih
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.162

Abstract

Payment is inseparable from technology so it is fast in making transactions in real time. Payment is the most important stage in sales. Sales success can be obtained from the service process, both from the process of entering sales transactions to payment transactions. Problems that occur in transactions using the QRCode fintech payment are, it takes too long to read the QRCode, an error occurs when reading the QRCode, has made a payment but it is not detected. The aim of the research is to help service providers fix deficiencies that occur and help customers choose a QRCode fintech that is safe and fast to use. This research seeks QRCode fintech payment recommendations for customers using the Technique For Order Preference by Similarity of Ideal Solution (TOPSIS) with 6 alternatives, namely Sakuku, Link Aja, Gopay, Dana, Shopeepay and OVO. Then the 6 criteria consist of: C1 = real time, C2 = user friendly, C3 = payment, C4 = security, C5 = feature diversity, and C6 = merchant. The results obtained by Gopay obtained the highest score of the other 6 alternatives, namely 0.9208, which was chosen as the best QRCode fintech payment recommendation. 
Clustering of Mathematical Skill Improvement for Children with Special Needs Using K-Means Clsutering: A Case Study at Mutiara Al Islam Therapy Surakarta REMAWATI, DWI; Sandradewi, Kumaratih; Irawati, Tri; Fitriasih, Sri Hariyati
Ittishal Educational Research Journal Vol. 5 No. 2 (2024): Ittishal Educational Research Journal
Publisher : International Islamic Schools Alliance

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51425/ierj.v5i2.84

Abstract

The ability to understand mathematics in children with special needs (CSN) needs to be constantly improved. Because the capabilities of CSNs are not the same, they should be grouped based on the results of the evaluations that have been carried out. The purpose of this study is to group children with special needs who receive therapy at Mutiara Al Islam Therapy based on the progress of their mathematical skills. For grouping, use the K-Means Algorithm because this method can be effective in grouping data. Data was obtained from the Mutiara Al Islam therapy institution in Surakarta. The data is in the form of initial math skill scores and new math skill scores, the next process is calculated as a percentage increase in intentions, then clustered. The result of this study is the formation of 2 clusters, namely low improvment and high improvment, so that it can help therapists to improve CSN math skills based on the results of the cluster. Based on the results of the silhouette validity test, the accuracy level of cluster 1 is 0.575629 and cluster 2 is 0.471283.
KLASIFIKASI KELAYAKAN PEGAWAI KONTRAK MENJADI PEGAWAI TETAP MENGGUNAKAN METODE NAIVE BAYES Khoirudin, Muh. Rosyid; Hasbi, Muhammad; Widada, Bebas; Akhyar, Khoirul; Sandradewi, Kumaratih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 12, No 2 (2024): Jurnal TIKomSiN Vol 12, No. 2 Oktober 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v12i2.863

Abstract

Employees are the most important asset in the ongoing activities and programs that have been designed by the foundation and the emergence of difficulties in determining the status of new staff at the foundation, because the manual system is still in effect, from written exams, oral exams and interviews. which allows the loss of files in testing and lack of objectivity in giving an assessment to employees. Therefore, this research was conducted to help determine the eligibility of foundation employees to be classified into "Eligible" and "Not Eligible" to be appointed as permanent employees of the foundation. The method implemented in this study uses the Naive Bayes classifier method in determining classification, in research testing using the Confussion Matrix validity testing method. The creation of a foundation employee classification system using the Naive Bayes method, which can determine the classification results based on the results of Eligible and not eligible to be appointed as permanent employees of the foundation. the test results obtained from the study used 50 data, with details of 35 as training data 15 training data obtained an accuracy of 86.7%. from here which shows that this program can be used as a reference in determining the eligibility status of permanent employees at the Smart Cendekia foundation.
Pendampingan Pembuatan Web Profil Perusahaan Sebagai Media Promosi Pada PT. Ratakan Media Kreasi Sandradewi, Kumaratih; Ahyar, Khoirul; Retno Wahyu Utami, Yustina; Ady Prabowo, Iwan; Irawati, Tri; Remawati, Dwi
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

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

Abstract

The digitalization of business has increasingly become an urgent need, especially in efforts to expand marketing reach and enhance consumer trust. PT. Ratakan Media Kreasi, as a company engaged in digital marketing, requires an online platform capable of displaying the company profile professionally and accessibly. This community service activity aims to design and develop a company profile website that can function as a promotional medium and a means of communication with potential clients and business partners. This website is expected to continuously support PT. Ratakan Media Kreasi in achieving digital marketing objectives and sustainably increasing its online presence. This community service activity provides long-term benefits for the company in facing competition in a dynamic digital era.
IMPLEMENTASI METODE CERTAINTY FAKTOR DALAM SISTEM PAKAR UNTUK DIAGNOSA KERUSAKAN LAPTOP Widianto, Septian Cahyo; Widada, Bebas; Sandradewi, Kumaratih; Remawati, Dwi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 13, No 1 (2025): Jurnal Tikomsin
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v13i1.931

Abstract

Expert systems have been used in various fields. With the aim of helping users solve the problems they face. This study presents the application of the Certainty Factor (CF) method in an expert system designed to diagnose laptop damage based on symptoms experienced by users. This system aims to help technicians and general users identify potential laptop malfunctions with better accuracy. The expert system developed combines a comprehensive knowledge base consisting of various laptop components and their common problems. The CF method calculates the probability of damage by combining expert knowledge with user-reported symptoms. Through a series of tests conducted on several brands of laptops with various types of malfunctions, the system showed outstanding performance. The results showed 87% accuracy in diagnosing hardware problems such as motherboard failure, RAM damage, and hard drive malfunction.
MENINGKATKAN LITERASI DINI ANAK MELALUI METODE BERMAIN SAMBIL BELAJAR DI PAUD KENANGA DESA BANARAN KECAMATAN GROGOL KABUPATEN SUKOHARJO JAWA TENGAH Remawati, Dwi; Fitriasih, Sri Hariyati; Sandradewi, Kumaratih; Irawati, Tri
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2025): Volume 6 No 4 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i4.48201

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi dini anak-anak melalui metode bermain sambil belajar di PAUD Kenanga, Desa Banaran. Literasi dini merupakan salah satu kemampuan penting yang harus ditanamkan sejak usia prasekolah, namun pelaksanaannya seringkali kurang menarik sehingga anak-anak mudah bosan. Oleh karena itu, tim pengabdian merancang serangkaian kegiatan edukatif berbasis permainan yang menyenangkan dan sesuai dengan perkembangan usia anak. Metode yang digunakan adalah partisipatif dan demonstratif, dengan langkah-langkah berupa observasi awal, koordinasi dengan guru, pelaksanaan permainan edukatif (mengenal huruf dengan kartu, berhitung dengan balok angka, bermain peran sederhana, membaca buku cerita bergambar, dan membentuk clay), serta evaluasi melalui pengamatan perkembangan anak. Hasil kegiatan menunjukkan bahwa anak-anak lebih aktif, antusias, dan berani berpartisipasi dalam aktivitas literasi. Guru-guru juga menyambut baik metode yang diterapkan dan berencana melanjutkannya secara rutin. Kegiatan ini diharapkan dapat menjadi model pembelajaran alternatif yang menarik untuk meningkatkan literasi anak sejak usia dini.
Metode Naïve Bayes Untuk Prediksi Waktu Produksi Mebel di UD. Wali Barokah Kartasura Sukoharjo Jawa Tengah Abdul Dhohir Surya Kusuma, RM; Remawati, Dwi; Sandradewi, Kumaratih
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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

Abstract

Wali Barokah is one of the industrial furniture craftsmen (furniture) with the main material using teak wood. The development of the times has made many furniture entrepreneurs appear, making the competition between furniture craftsmen increasingly tight. One way for customers not to be disappointed is that business voters must serve customers according to the specified time when transacting. The attributes that will be used in classifying the production time are the name of the item, the number of orders, the difficulty, the equipment, the number of workers. The method that will be used is the the method Naïve Bayes Classifier. Based on the results of the confusion matrix test on the nave Bayes method of the dataset that has been taken on the object of research, an accuracy rate of 80% is obtained or is included in the category Good. Meanwhile, Precision is 83% and Recall is 88%.