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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Gaung Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Euclid Jurnal Abdimas Terapan Journal Emerging Technologies in Education Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Yustina Retno Wahyu Utami
STMIK Sinar Nusantara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Sistem Pendukung Keputusan Penentuan Pemberian Pinjaman Dengan Metode Perbandingan Eksponensial (MPE) Pada Koperasi XYZ Agus Warseno; Yustina Retno Wahyu Utami; Andriani Kusumaningrum
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.527

Abstract

The XYZ cooperation is a business entity dealing with savings and loans, building rental, convection, rice procurement and shops that are very concerned about the welfare of its members. The appraisal process for loan approval decision in the XYZ cooperative was still lack of assessment. It was based on the value of the members’ report cards which covers collateral, wealth, and behavior so that the funds were not often on the target. Moreover, the cooperative members were often careless in repayment process. The method in this research was Exponential Comparison Method. This method determined the priority order of alternative decisions with criteria. Those criteria in this research were: Report cards, BI Checking, Application Purpose, source of income, monthly income, installment period, completeness of files, guarantees, status, and the amount requested. As a result of applying this system and adding some new criteria, cooperation considers loan approval assessments in determining the eligible members. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly.
Penerapan Agglomerative Hierarchical Clustering Untuk Segmentasi Pelanggan Widyawati Widyawati; Wawan Laksito Yuly Saptomo; Yustina Retno Wahyu Utami
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.75 KB) | DOI: 10.30646/sinus.v18i1.448

Abstract

As more businesses emerge, companies need to have the right marketing strategy to provide the best service to customers. The first step is to know the type of customer and make appropriate marketing strategies according to the type of customer. In this research, it is proposed for clustering customers so that an appropriate strategy for that customer group can be determined. The method used for cluster formation uses Agglomerative Hierarchical Clustering with Average Linkage approach and distance determination using Manhattan Distance. The variables in this research are Recency, Frequency, and Monetary (RFM). The results of testing using the Silhouette coefficient show that the results of 7 clusters are the best results when compared with 2 clusters up to 20 clusters because they have the smallest minus value. Based on the results of the Silhoutte coefficient, customer segmentation uses 7 clusters with each cluster representing the existing customer type.
KOMBINASI PENJUALAN KAIN BATIK MENGGUNAKAN METODE APRIORI Yustina Retno Wahyu Utami; Hendro Wijayanto; Richi Adi Prasetyo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.649

Abstract

The existence of operational activities selling batik cloth every day will increase more and more, If left alone, the transaction data will only become meaningless garbage. is an individual company that manufactures and sells batik with various types of batik. The types of batik include Batik Insights, Color Insights, Cash Written Batik, Fine Written Batik, Fine Granite Written Batik, Night Print Batik, Stamped Batik, Combined Batik, Dagel Batik. In processing sales data, it is still done manually, which only uses records and receipts, so the data only functions as an archive. The data used in this study are sales transaction data for 2 years with a total of 215 transactions. The purpose of this study is to implement apriori algorithm system for the combination of batik fabric sales on Dewi Ratih batik so that it can help to find out the types of batik that are most often purchased. The results of this study are to determine which combination of batik fabric sales are most often bought simultaneously by determining a minimum support of 30% and a minimum confidence of 70% with a comparison of Weka and PHP MysQL applications with an accuracy rate of 100%
Perbandingan Prediksi Tinggi Muka Air Bendungan Wonogiri dengan Single Exponential Smoothing dan Brown’s Exponential Smoothing Retno Tri Vulandari; Dwi Rema wati; Yustina Retno W; Hendro Wijayanto; Wawan Laksito YS
Euclid Vol 6, No 2 (2019): Edisi Juli
Publisher : Universitas Swadaya Gunung Jati.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (564.642 KB) | DOI: 10.33603/e.v6i2.2194

Abstract

Intensitas hujan tahunan di daerah aliran sungai (DAS) Bengawan Solomengakibatkan debit aliran sungai besar di beberapa anak sungai. Debit aliransungai yang besar mengakibatkan tinggi muka air di beberapa pos pemantauanmeningkat. Tinggi muka air di setiap pos pemantauan diukur setiap hari denganperiode yang sama, pagi (06.00), siang (12.00), dan sore (18.00). oleh karena itu data tinggi muka air merupakan data runtun waktu. Salah satu metode peramalan data runtun waktu adalah single exponential smoothing dan Brown’s double exponential smoothing. Dalam penelitian ini akan dilakukan pemodelan data tinggi muka air sungai Bengawan Solo pada pos pemantauan Wonogiri Juni – Desember 2018.
PENERAPAN FUZZY C-MEANS DALAM PENENTUAN KELAS SISWA DI SEKOLAH MENENGAH KEJURUAN Falah, Fusthotum N. M.; Utami, Yustina Retno Wahyu; Saptomo, Wawan Laksito Yuly
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 12, No 1 (2024): Jurnal TIKomSiN Vol 12, No. 1 April 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v12i1.743

Abstract

The PLN industrial class is a class that collaborates with PT. PLN Persero by including a curriculum in accordance with the competencies required by the industry. Students entering industrial classes must also be selected students. Therefore we need a system to classify students. The grouping of students at SMK Muhammadiyah 3 Surakarta is still manual, so the grouping process is not optimal and accurate.The purpose of this thesis is the creation of a class grouping application based on productive academic and attitude values using the Fuzzy C-Means method. And make it easier to do class grouping. Data collection methods include observation or data collection at SMK Muhammadiyah 3 Surakarta, interviews with the Head of the electrical power installation engineering (TITL) Skills Competency and literature studies taken from journals, books and also related research.This class grouping system is created using the Fuzzy C-Means method. After grouping the results obtained from 26 students, 21 students entered the industrial class and 5 students entered the regular class. The results of the validity test prove that the clustering is valid, as evidenced by the silhouette coefficient test where the value is 0.81 which indicates a strong structure.
Utilization of Facebook as an Online Platform-Based Learning Media Muhammadiah, Mas'ud; Hamsiah, Andi; Fatmayati, Fryda; Utami, Yustina Retno Wahyu; Prabowo, Iwan Ady
Journal Emerging Technologies in Education Vol. 1 No. 6 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jete.v1i6.631

Abstract

Background. This study examines the character formation of Muslim children through indigenous education at Floor IT Elementary School, Batusangkar, Tanah Datar Regency. The problem lies in the character formation of Muslim children. Purpose. From this problem, the question arises about the condition of the students' character and what efforts the teacher has made to shape the students' character at the Sekolah IT Floor Batu. This research is field research because the researcher directly visited the research subjects. Method. Data was obtained through direct observation and interviews with teachers at the school. After the data is collected, it is then processed by classifying the data and making notes about the results of observations and interviews. Results Next, the data is narrated descriptively. The research results are discussed using theories which are also supported by the arguments of the Koran and Hadith as well as several applicable government regulations. This research found an important understanding that Indigenous education is an educational method that is based on customs or customs that develop in society. Children's characters emerge due to the influence of the customs of the place where they live. Conclusion. To prevent the emergence of bad characters, teachers gather their students in one environment, so that teachers can accustom children to behave well. In this way, teachers can shape the character of Muslim children and familiarize children with behaving according to the character of Muslim children
Pengelompokkan Film Trending di Youtube Menggunakan TF-IDF dan K-Means Clastering Remawati, Dwi; Wijayanto, Hendro; Wahyu Utami, Yustina Retno; Raharja, Bayu Dwi
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 1 (2025): EDISI JANUARI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i1.10614

Abstract

YouTube telah menjadi platform utama untuk konsumsi konten video, dengan tren video yang terus berkembang sesuai perubahan minat audiens. Penelitian ini bertujuan untuk mengelompokkan film trending di YouTube berdasarkan judul dan popularitasnya menggunakan pendekatan TF-IDF dan K-Means Clustering. TF-IDF digunakan untuk mengekstraksi fitur dari judul video, mengidentifikasi kata-kata kunci penting yang mencirikan tema setiap film. Algoritma K-Means kemudian digunakan untuk mengelompokkan video ke dalam beberapa cluster berdasarkan kemiripan fitur TF-IDF dan jumlah views. Hasil penelitian menunjukkan bahwa video dapat dikelompokkan ke dalam tiga cluster dengan karakteristik unik. Cluster pertama berisi video dengan tema komedi, aktor populer, dan jumlah views tinggi. Cluster kedua mencakup video dari berbagai genre dengan jumlah views yang bervariasi. Cluster ketiga terdiri dari video yang lebih spesifik dengan popularitas tinggi. Evaluasi menggunakan Silhouette Score menunjukkan bahwa kualitas clustering masih dapat ditingkatkan. Penelitian ini memberikan wawasan bagi kreator konten dan pemasar digital untuk menyusun strategi konten yang lebih menarik dan relevan, serta memberikan kontribusi akademis dalam analisis data berbasis teks.
SISTEM INFORMASI BERBASIS WEB SEBAGAI MEDIA PROMOSI PADA LEMBAGA TERAPI MUTIARA AL ISLAM SURAKARTA Dwi Remawati; Yustina Retno Wahyu Utami; Sri Hariyati Fitriasih; Tri Irawati; Hendro Wijayanto
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 1 No. 6 (2023): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v1i6.221

Abstract

Teknologi Informasi berkembang dengan pesat dan menyebabkan perubahan dengan cepat di semua bidang. Berbagai sektor dan aspek kehidupan terus berupaya mengadopsi perkembangan teknologi dalam meningkatkan produktivitas dan efisiensi kerja. Mutiara Al Islam Surakarta merupakan lembaga pendidikan luar sekolah di Surakarta atau Kota Solo, yang bergerak di bidang pendidikan anak berkebutuhan khusus (ABK). Selama ini belum banyak yang tahu keberadaan lembaga ini meskipun telah lama berdiri. Dengan adanya alasan tersebut, perlu adanya media promosi yang lebih memudahkan masyarakat mengenal Mutiara Al Islam Surakarta. Website Mutiara Al Islam yang telah dibangun dapat diakses di http://mutiaraalsilam.com. Yang mana dengan adanya website tersebut, menunjukkan bahwa 32 siswa Mutiara Al Islam, 53% nya mengetahui lewat media website. Sehingga website ini menjadi salah satu alat promosi bagi Mutiara Al Islam yang cukup baik. Selain menjadi media promosi pengenalan sekolah, kedepan media website ini dapat menjadi pusat informasi Lembaga Terapi Mutiara Al Islam Surakarta
Sentiment Analysis Of Fiverr Application Reviews Using TF-IDF Feature Wahyu Utami, Yustina Retno; Farisi, Salman Al
Jurnal Ilmiah SINUS Vol 23, No 1 (2025): Vol. 23 No. 1, Januari 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i1.883

Abstract

Most people are interested in being a freelancer. This happens because of the rapid development of technology, making it easier for people to move and providing many choices in determining the type of work. One of the most popular freelance apps is the Fiverr App. The Fiverr application has received many reviews from its users, both positive, negative, and neutral. This study aims to obtain the results of sentiment classification analysis of Fiverr Application user ratings on Google Play sites using the Naïve Bayes Classifier method. Data collection on Fiverr App reviews uses web scraping techniques through the Google Collab website. The data that has been obtained is then labeled between positive, negative, or neutral. After being labeled, text preprocessing and TF-IDF weighting are carried out in each review. Furthermore, the classification uses the Naïve Bayes model with 454 data training and 454 data testing. The classification results show that Fiver App reviews a total of 454 data tests, showing a percentage of accuracy of 85,24%, precision of 97,59%, and recall of 88.20%
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.
Co-Authors Ady Prabowo, Iwan Agus Harjoko Agus Panoto Agus Warseno Ahyar, Khoirul Albert Christie Giovani Alfian Syaifudin Andriani Kusumaningrum Andriani Kusumaningrum, Astri Charolina Bebas Widada Berlian, Zam Zam Budi Hartanto Calvin Ivan Wiryawan Dianita, Ardhia Dwi Ari Didik Nugroho Dwi Rema wati Dwi Remawati Dwi Rudi Setiawan Eky Nur Hidayah Fajar Pamungkas Falah, Fusthotum N. M. Fryda Fatmayati Hamsiah, Andi Hendri Risman Hendro Wijayanto Hendro Wijayanto Hendro Wijayanto Heru Budi Kusumo Ignatius Bagas Ristanto Iwan Ady Prabowo Joko Purnomo Kharisma Fajar Renaldi, Kharisma Fajar Kumaratih Sandradewi Kurnia Martha Herdiastuti Kurniawan , Angga Eka Kurniawan Syafi’i Kustanto, Kustanto Mas'ud Muhammadiah Mawar Hardiyanti Merry Kurnia Happyanto Merry Kurnia Happyanto Mochtar Yunianto Mochtar Yunianto Muhariya, Ahmad Mukhammad Shaid Nugroho, Muhammad Ghifari Palgunadi . Prihanto Prihanto, Prihanto Qoriah, Annisa Nur Ragil Prasojo Raharja, Bayu Dwi Retmawati Dewi Utami Retmawati Dewi Utami Retno Tri Vulandari Richi Adi Prasetyo Ricky Yandy Darmawantoro Salman Al Farisi, Salman Al Saptomo, Wawan Laksito Yuly Shinta, Rafinda Siskak Akatani Kaudsar Sonia Ratnaning Pertiwi Soniya, Septi Vera Sri Hariyati Fitriasih Sri Harjanto Sri Huning Anwariningsih Suprihatin Suprihatin Sutrisno Sutrisno Syafi’i, Kurniawan Taratya Indra Pratiwi Teguh Susyanto Tri Irawati Tri Irawati, Tri Tyas Wulandari Wahyu Teguh Santoso Wawan Laksito YS Wawan Laksito YS Wawan Laksito Yuly Saptomo Wawan Singgih P Widyawati Widyawati Wijayanto , Hendro Wijayanto, Bagoes Syukron Wijayanto, Hendro Yohannes Palgunadi Yudi Setianto