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All Journal PROCEEDING IC-ITECHS 2014 SMATIKA RESEARCH : Computer, Information System & Technology Management DoubleClick : Journal of Computer and Information Technology JAIM (Jurnal Abdi Masyarakat) International Journal of Advances in Data and Information Systems Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi dan Sistem Tertanam Journal of Soft Computing Exploration Bulletin of Computer Science Research Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) SOROT: Jurnal Pengabdian Kepada Masyarakat Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) E-Amal: Jurnal Pengabdian Kepada Masyarakat Asian Journal of Management, Entrepreneurship and Social Science Smatika Jurnal : STIKI Informatika Jurnal
Yessi Yunitasari
Department Of Informatics Engineering, Universitas PGRI Madiun, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Other

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Sosialisasi dan Pengembangan Situs Web di Madrasah Aliyah Ma’arif 1 Ponorogo Asyhari, Moch Yusuf; Aria Bima, Alim Citra; Yunitasari, Yessi; Cahyono Putro, Moh. Rizal Bagus; Cahyo, Wahyu Nur
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2024): Juli
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/sorot.v3i2.7507

Abstract

Madrasah Aliyah Ma'arif 1 Ponorogo has introduced website development as a response to developments in information technology. This website is an important need in strengthening communication with students, parents and the community in today's digital era. The main problems faced are low access to school information and lack of interaction with the wider community. The solution to overcome this, website development facilitates easy access to information such as school profiles, academic programs, extracurricular activities, student achievements, as well as religious and social activities. The development method involves needs analysis, structured planning, comprehensive material collection, design and development, implementation, user training and outreach, and regular evaluation. The main goal is to strengthen the school's image at local and national levels, as well as increase community involvement in supporting modern and efficient education. This activity contributes to the development of information technology-based education, with a focus on increasing information accessibility and interaction of various lines in the context of Islamic education.
Enhancing Linear Regression with Forward Selection in Software Effort Estimation Puguh Jayadi; Yessi Yunitasari
Asian Journal of Management, Entrepreneurship and Social Science Vol. 4 No. 04 (2024): Upcoming issues, Asian Journal of Management Entrepreneurship and Social Scien
Publisher : Cita Konsultindo Research Center

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

Abstract

Software effort estimation is one of the critical aspects of software project management, but it often faces accuracy issues. Although statistical methods such as Linear Regression have been used, previous research has shown that these models are often inefficient because they involve many variables that may not be relevant. This study aims to improve the performance of Linear Regression models in software effort estimation using Forward Selection feature selection techniques. Two models were compared: the conventional Linear Regression model and the model with Forward Selection. Evaluation metrics include Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Square Error (RMSE), and coefficient of determination (R2). Results show significant improvements in all performance metrics on models with Forward Selection. Notably, the MSE increased from 1.0 to 0, suggesting that this model is more effective in explaining data variability. The use of Forward Selection in Linear Regression models for software effort estimation shows significant performance improvements and is worthy of consideration for further industry research and practice.
Enterprise Architecture Planning Information System at Bus Rental Service Company STT, Latjuba Sofyana; Yunitasari, Yessi; Budi, Belca Setya
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1598

Abstract

In increasing customer satisfaction, convenience and improving the quality of the company. The company engaged in bus rental services is PT. Transaba wants to have a digital platform and an integrated management system in the Company. One way is to do enterprise architecture planning to find out what systems/applications are urgent to create. The EAP framework provides the direction desired by the Company with its stages, including planning initiation, business modeling, current systems and technologies, data architecture and application architecture, and technology architecture. In this planning, the Company's directions and guidance regarding what must be done first to achieve the objectives, namely Procurement and installation of infrastructure, Customer Management System, Reservation management system, Scheduling and route system and Human Resources Training
Application of FFT and KNN Methods for the Process of Identifying Sound Signals Yunitasari, Yessi; Saifulloh, Saifulloh; Harly, Daniswara Andhika Putra
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1599

Abstract

Everyone has a different kind of voice. Sound is a unique thing and has a certain range of frequencies and intensity of sound that can and cannot be heard by humans. we can detect important characteristics of the sound. The Fast Fourier Transform (FFT) algorithm is an algorithm for calculating Discrete Fourier Transform (DFT). Process of Identifying Sound Signals beginning with the sound data was preprocessed, feature extraction using FFT, classification using KNN and finding the nearest distance using the Euclidean distance method, an accuracy result of 79% of the tested data was obtained.
Mapping and Prediction Analysis of Rice Fertilizer Use in Paron District, Ngawi Regency using K-Means and Fuzzy Sugeno Methods Saifulloh, Saifulloh; Yunitasari, Yessi; Welasih, Rusti Dewi
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1600

Abstract

Clustering and prediction methods are effective tools in overcoming this problem. In this research, the K-Means method was used to map fertilizer needs based on regional characteristics, such as soil type, planting patterns and land productivity levels. This method is able to group regions that have similar characteristics, making it easier to determine optimal fertilizer allocation. Next, the Fuzzy Sugeno method is applied to predict fertilizer needs in the next planting season based on historical data and the results of the grouping that has been carried out. By combining these two methods, it is hoped that the results of this research can provide accurate recommendations for the effective and efficient use of fertilizer. Mapping and predictive analysis on the use of rice fertilizers in Paron District, Ngawi Regency in 12 villages were carried out by referring to the K-Means and Fuzzy Sugeno methods. Mapping with the K-Means Method is done by determining the centroid and clustering, while the prediction mapping using the Fuzzy Sugeno Method is done by determining the variables and fuzzy sets as well as the condition calculation rules. The results obtained are that 2 villages are in the category of low fertilizer use, 3 villages are in the category of medium fertilizer use and 7 villages are in the category of high fertilizer use. Based on the prediction calculation using the Fuzzy Sugeno Method, it was found that the level of error in the comparison of data was 5.36%, meaning that from 100% of the error rate difference, the truth value in calculating the prediction of the use of urea fertilizer using the fuzzy Sugeno method was 94.64%.
Sound detection of gamelan musical instruments using teachable machine Yunitasari, Yessi; Asyhari, Moch Yusuf; Kurniawati, Inung Diah; STT, Latjuba Sofyana
Journal of Soft Computing Exploration Vol. 6 No. 2 (2025): June 2025
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v6i2.576

Abstract

Gamelan is an instrument of musical expression that has an aesthetic function related to social, moral, and spiritual values. Gamelan consists of a variety of musical instruments that have a unique sound. In this study, the sound detection of nine gamelan musical instruments was carried out using a teachable machine. The gamelan musical instruments detected included gong, kenong, saron, bonang, gambang, kendang, flute, siter, and rebab. The algorithm used is CNN. The CNN algorithm has a fairly good performance for the sound detection process. The test results of the built model show an "acc" value of 25 ranging from 0.99 to 1, which indicates that the model achieves an accuracy rate of 99% to 100% on the training dataset. At the same time, "test accuracy" refers to a measure of the model's effectiveness in predicting data it has not encountered during training. The "test accuracy" score varied from 0. 83, which shows that the validation data has an accuracy of 83%.
Analisis Sentimen Masyarakat di Twitter Terkait Pandemi Covid-19 Yessi Yunitasari; Andi Rahman Putera
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.520

Abstract

Social media is a place to look for new friends and a place to express opinions about something freely. One social media that is widely used today is Twitter. Many people use Twitter to issue opinions on the Covid-19 Pandemic that occurred in various countries, including in Indonesia. The Covid-19 pandemic or coronavirus in Indonesia begins with the discovery of a 2019 coronavirus sufferer (COVID-19) on March 2, 2020, to April 8, 2020, 2,738 positive cases of COVID-19 have been confirmed, with 221 cases of which have died and 204 cases have recovered. Tweets written by the public can later be classified into positive and negative sentiments using sentiment analysis. The results of our sentiment analysis can see how the perceptions of the Indonesian people regarding the Covid-19 pandemic that occurred in Indonesia. The sentiment analysis classification process will use the naïve Bayes method. Sentiment testing carried out using Cross-Validation includes 5 Fold and 10 Fold testing. From each of these tests, the accuracy, precision, and recall values will be seen. the results of the Cross Validation 5 Fold test obtained results from an average accuracy of 0.756364 (75%). The results of the Cross Validation test for 10 Fold obtained results from an average accuracy of 0.76 (76%)
Implementation of Machine Learning Models for Predicting Internet Service Provider Customer Churn Moch Yusuf Asyhari; Pratiwi Susanti; Yessi Yunitasari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.7012

Abstract

The telecommunications industry faces an extremely high level of competition, where the phenomenon of customer churn presents a significant challenge due to its impact on revenue decline and increased costs associated with acquiring new customers. This study aims to develop a churn prediction model using the Decision Tree algorithm and implement it in a web-based application to support customer retention strategies. The CRISP-DM methodology is employed, covering Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. Experimental results show that the Decision Tree algorithm demonstrates strong performance in identifying non-churn customers, with a precision of 0.82, a recall of 0.91, and an F1-score of 0.86. However, its performance on the churn class remains limited, with a precision of 0.63, a recall of 0.44, and an F1-score of 0.52, highlighting the importance of addressing imbalanced data distribution to preserve existing data. The model underwent Learning Curve and Validation Curve analysis. The Learning Curve indicates a relatively stable model with a small gap, suggesting good generalization. The Validation Curve reveals that optimal performance is achieved at a moderate tree depth, avoiding the risk of overfitting at greater depths. Nevertheless, the main advantage of the Decision Tree is its interpretability, which highlights significant factors such as contract type, subscription duration, and additional services. The integration of the model into a web-based application also provides practical benefits through rapid churn risk monitoring, supporting the company’s strategic decision-making.
Pelatihan Media Digital Interaktif Blooket Integrasi AI dalam Pembelajaran Modern di SD Yessi Yunitasari; Inung Diah Kurniawati; Yoga Prisma Yuda; Pratiwi Susanti
Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Vol 4 No 1 (2026): Juli - September
Publisher : CV. ITTC INDONESIA

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

Abstract

In the era of 21st-century education, digital literacy has emerged as a crucial competency that extends beyond basic technical skills to encompass critical thinking, information evaluation, and digital ethics. However, educators face significant challenges in maintaining student engagement amidst high levels of digital distraction. This article describes the implementation of training designed to strengthen digital literacy in instruction through the integration of AI and the interactive platform Blooket. The training aimed to enhance educators' competence in utilizing digital technology effectively, creatively, and pedagogically. A participatory training approach was employed, combining lectures, demonstrations, hands-on practice, and post-training evaluation. The results indicate an improvement in participants' understanding of digital literacy, their ability to integrate AI into instruction, and their skills in using Blooket as an interactive and engaging tool for learning assessment. Furthermore, participants demonstrated increased motivation to develop technology-based instruction. Thus, the training proved effective in enhancing teachers' digital competencies and fostering instructional innovation in the era of digital transformation
Penerapan Framework ISO 31000 Pada Analisis Manajemen Risiko Teknologi Informasi Sri Anardani; Alim Citra Aria Bima; Yessi Yunitasari; Gilang Primayoga
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 2: JULI 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i2.1717

Abstract

Manajemen risiko merupakan aspek penting dalam menjaga keberlanjutan operasional teknologi informasi dan mendukung daya saing organisasi. Universitas PGRI Madiun memiliki Sistem Informasi Magang yang berpotensi menghadapi berbagai risiko yang dapat mengganggu kinerja layanan. Penelitian ini bertujuan menganalisis risiko pada Sistem Informasi Magang menggunakan kerangka kerja ISO 31000. Metode yang digunakan meliputi empat tahapan utama, yaitu identifikasi risiko, analisis risiko, evaluasi risiko, dan perlakuan risiko. Hasil penelitian menunjukkan bahwa terdapat 19 risiko yang teridentifikasi, terdiri atas 2 risiko tinggi (high risk), 15 risiko sedang (medium risk), dan 2 risiko rendah (low risk). Berdasarkan hasil evaluasi, disusun rekomendasi perlakuan risiko (risk treatment) sebagai langkah mitigasi bagi Biro Magang dan Praktik Lapangan (BMPL). Implementasi rekomendasi tersebut diharapkan mampu mengurangi kemungkinan terjadinya risiko serta meningkatkan keamanan, kestabilan, dan keberlangsungan layanan Sistem Informasi Magang secara lebih efektif dan terarah.
Co-Authors Abdul Rozaq Alim Citra Aria Bima Anardani, Sri Andi Rahman Putera Aria Bima, Alim Citra Astuti, Anggun Yuli Budi, Belca Setya Cahyo, Wahyu Nur Cahyono Putro, Moh. Rizal Bagus Eka Resty Novieta Sari Gilang Primayoga Hapsari, Estuning Dewi Harly, Daniswara Andhika Putra Kelik Sussolaikah Kurniawati, Inung Diah Kurniawati, Inung Diah Latjuba Sofyana STT Moch Yusuf Asyhari Muh Nur Luthfi Azis Muh. Lutfi Azis Pratiwi Susanti Puguh Jayadi Putera, Andi Rahman saifulloh Saifulloh, saifulloh Sanriomi Sintaro Sri Anardani Sri Anardani STT, Latjuba Sofyana Surya Kharisma Octavian Welasih, Rusti Dewi Yoga Prisma Yuda