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All Journal Jurnal Sains dan Teknologi Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Information Systems and Informatics JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal AbdiMas Nusa Mandiri TIERS Information Technology Journal Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Journal of Artificial Intelligence and Digital Business Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS)
Irma Darmayanti
Universitas Amikom Purwokerto
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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OPTIMIZATION NAÏVE BAYES ALGORITHM IN SENTIMENT ANALYSIS OF BUKALAPAK APP REVIEWS Akmali, Fajar; Andi Dwi Riyanto; Irma Darmayanti
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13132

Abstract

Bukalapak application reviews on Google Play Store include useful information if processed correctly. The activity of analyzing application reviews is not enough to see the number of stars, it is necessary to see the entire contents of the review comments to be able to know the intent of the review. Sentiment analysis system is a system used to automatically analyze reviews. Review data is retrieved via the bukalapak application API and then classified using Naive Bayes Multinomial. A total of 1,000 reviews of bukalapak application users were collected to be used as dataset samples. The purpose of this research is to determine the accuracy level of sentiment analysis using the multinomial Naive Bayes algorithm. The stages of this research include, data collection, automatic labeling using python, pre-processing, sentiment classification, and evaluation. In the pre-processing stage there are 6 stages, namely Cleaning, Casefolding, Word Normalizer, Tokenizing, Stopword Removal and Stemming. TF-IDF (Term Frequency - Inverse Document Frequency) method is used for word weighting. The data will be grouped into two categories, namely negative and positive. The test results show an accuracy value of 90%, this result shows that the bukalapak application reviews tend to be negative. The research at this time only looks for accuracy values and provides an overview of the bulapak application to potential new users.
Implementasi Prolog sebagai Bahasa Pemrograman Kecerdasan Buatan dalam Deteksi Penyakit Kulit pada Balita Permadi, Ma’rifan; Darmayanti, Irma
Jurnal Ilmiah IT CIDA Vol 9 No 1: Juni 2023
Publisher : STMIK AMIKOM Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55635/jic.v9i1.181

Abstract

Kesehatan kulit harus dijaga dengan memberikan perlindungan dan perawatan yang tepat dan teratur sesuai dengan kondisi kulit. Kulit balita merupakan kulit yang sensitif dan balita juga memiliki sistem kekebalan yang belum matang. Balita pun belum memiliki kebiasaan sehat membuat balita mudah terkena penyakit yang disebabkan oleh penyebaran bakteri ataupun virus. Orang tua juga mempunyai ketakutan besar pada balita apabila balita terserang penyakit. Program posyandu balita sebagai upaya pemerintah untuk memudahkan masyarakat Indonesia dalam memperoleh pelayanan kesehatan ibu dan anak, pada pelaksanaannya belum bisa berjalan dengan maksimal karena keterbatasan jumlah kader yang ada. Untuk itu, dengan perkembangan ilmu pengetahuan, berbagai penemuan memberikan kemudahan serta kebaikan diberbagai aspek kehidupan salah satu dengan adanya sistem pakar. Sistem pakar salah satu lingkup kecerdasan buatan. Penelitian ini mengimplementasikan program kecerdasan buatan dengan menggunakan prolog sebagai bahasa pemrogramannya untuk dapat membantu memudahkan dalam mendeteksi penyakit kulit secara dini pada balita.
Development of Mobile Application by Applying Content-Based Filtering Hermanto, Nandang; Darmayanti, Irma; Saputra, Dimas; Hidayatuloh, Aden
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14320

Abstract

The rapid advancements in information technology have transformed modern lifestyles, driving changes in consumer behavior and expectations, especially in the retail industry. This study focuses on developing a mobile application for Ampu Mart, a newly established retail business in Indonesia, to optimize product recommendation systems using the Content-Based Filtering (CBF) approach. The research integrates CBF with string matching and cosine similarity algorithms to provide personalized product recommendations based on customer preferences, enhancing user satisfaction and supporting more efficient purchasing decisions. The methodology involves several stages, including problem identification through observation and interviews, data collection on product attributes and customer preferences, system design, prototype development, implementation, and testing. The application leverages advanced algorithms to analyze product characteristics, ensuring relevant recommendations by matching user preferences with product attributes. User Acceptance Testing (UAT) conducted with 30 participants—customers, administrators, and management—evaluated the application's functionality, usability, accuracy, and performance. Results indicate that the mobile application improves the shopping experience and boosts sales by offering accurate, user-centered recommendations. The findings highlight the strategic importance of integrating intelligent technology into e-commerce platforms to enhance competitiveness in the retail market. Future work recommends incorporating Collaborative Filtering techniques to further enrich the recommendation system by analyzing collective customer behavior.
Menjadi Orang Tua Digital: Panduan Praktis untuk Mengawasi Penggunaan Internet Anak Irma Darmayanti; Hermanto, Nandang; Tarwoto; Hidayati, Nurul; Saputri, Inka
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 4 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i4.1924

Abstract

Internet sebuah jaringan komputer universal yang selalu terhubung menggunakan protokol internet untuk menghubungkan komputer diseluruh dunia. Adanya internet, pengguna dapat mengakses berbagi informasi secara instan diberbagai platform, menghubungkan manusia diberbagai negara, dan memanfaatkan berbagai layanan online. Survei APJII menunjukkan Indonesia terus mengalami peningkatan pemakai internet terutama dikalangan anak-anak dan remaja. Penerapan internet membawa pengaruh baik. Namun, dibalik itu ditemui beberapa pengaruh negatif antara lain cyberbullying, pornografi, penipuan online dan lain sebagainya. Sayangnya hasil survey pengabdi yang dilakukan di Desa Karang Klesem menunjukan bahwa tidak sepenuhnya orang tua memahami risiko ini. Untuk itu tim pengabdi menginisiasi kegiatan pengabdian masyarakat berupa sosialisasi mengenai panduan praktis untuk mengawasi penggunaan internet pada anak yang bertarget kepada para orangtua. Hasil kegiatan ini, para orang tua diberikan pemahaman tentang cara melakukan pemantauan dan pengelolaan terhadap aktivitas online anak dengan tepat sebagai bentuk pencegahan pemakaian internet yang tidak dapat diandalkan, tidak dapat diprediksi, dan menyesatkan.
Clustering Sugar Content in Children's Snacks for Diabetes Prevention Using Unsupervised Learning Darmayanti, Irma; Saputra, Dhanar Intan Surya; Saputri, Inka; Hidayati, Nurul; Hermanto, Nandang
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.932

Abstract

Diabetes is a chronic health problem with increasing prevalence, especially among children, due to the consumption of sugary foods/beverages. This study aims to cluster children's snack products based on sugar content using unsupervised learning by combining Hierarchical Clustering and K-Means algorithms optimized using Silhouette Score. This combined approach utilizes Hierarchical Clustering to determine the optimal value (????) of K-Means, ensuring the efficiency and accuracy of data clustering. A total of 157 sample data were effectively clustered with K-means. The test results with Silhouette Score yielded the highest value of 0.380 for 2 clusters, while 3 clusters scored 0.350 and 0.277 for 4 clusters. For this reason, 2 clusters better represent the homogeneity of the data in the cluster, although it has not reached the ideal condition. Further analysis showed that high sugar and calorie content in sugary drinks, including milk, could increase blood glucose levels. These findings can be the basis for the development of consumer-friendly nutrition labels. However, support is needed from the government to create a labelling policy to ensure the sustainability of implementation in the community as an educational effort to prevent the risk of diabetes in children.
PELATIHAN LITERASI DIGITAL BAGI GURU SD N 1 TOYAREKA GUNA MENDUKUNG PEMBELAJARAN KURIKULUM MERDEKA Mustofa, Dinar; Darmayanti, Irma; Pramono, Agus; Saputra, Dhanar Intan Surya; Kusuma, Velizha Sandy; Apitiadi, Satyo Dwi
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 1 (2025): Periode April 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i1.5949

Abstract

This community service project aims to enhance the digital literacy of teachers at SD Negeri 1 Toyareka in supporting the implementation of the Merdeka Curriculum. One of the challenges teachers face is their limited ability to utilize digital technology and artificial intelligence (AI) to create interactive and relevant learning experiences for students. The program was conducted through socialization, digital literacy training, AI technology introduction, and continuous mentoring and evaluation. During the training, teachers were provided with insights into digital platforms that can be used in the teaching and learning process, as well as AI applications to assist in student data analysis and the creation of adaptive learning materials. The training results show a significant improvement in teachers' skills in using digital technology and AI, particularly in creating more personalized and compelling learning experiences. Teachers could utilize digital tools to manage their classrooms more efficiently and use AI to personalize learning based on students' needs. The program evaluation revealed that teachers felt more confident using technology to support teaching and learning. The sustainability of this program is ensured through regular mentoring and assessment, as well as plans for further training to keep teachers updated with rapidly evolving technologies. This initiative is expected to be a model for developing digital literacy in other schools.
Implementasi Konsep Pemrograman Berorientasi Objek Dalam Aplikasi Pembukuan Keuangan Penjual Jus Buah Menggunakan Bahasa Pemrograman Java Sugandi, Zain Arif Wildan; Nugraha, Yoga Adi; Anam, Syaiful Nurul; Darmayanti, Irma
Jurnal Ilmiah IT CIDA Vol 8 No 1: Juni 2022
Publisher : STMIK AMIKOM Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55635/jic.v8i1.154

Abstract

Pemrograman Berorientasi Objek (PBO) merupakan paradigma pemrograman yang menggunakan “objek”. PBO dapat mencakup fitur seperti Encapsulation, Inheritance, Polymorphism . Banyak bahasa pemrograman modern sekarang mendukung PBO. Implementasi konsep pemrograman berorientasi objek dalam aplikasi pembukuan keuangan penjual jus buah akan dirancang menggunakan bahasa pemrograman Java. Pemrograman Java adalah bahasa pemrograman yang tepat yang digunakan dalam merancang implementasi konsep pemrograman berorientasi objek dalam aplikasi pembukuan keuangan penjual jus buah  karena selain mampu menggunakan konsep Berorientasi Objek, Java juga merupakan bahasa pemrograman yang multiplatform. Java masih sangat populer saat ini karena sifatnya yang dinamis sehingga membuatnya menjadi bahasa pemrograman yang mudah untuk dikembangkan sesuai kebutuhan. Struktur kode yang sudah dibuat bisa dengan mudah dilakukan modifikasi dan dikembangkan sesuai kebutuhan user dan menjadi fasilitas yang sangat menguntungkan bagi para developer aplikasi.
Implementasi Memory Game di MIT App Inventor Darmayanti, Irma; Ikhsan, Ali Nur; Utami, Dias Ayu Budi; Subarkah, Pungkas
Jurnal Ilmiah IT CIDA Vol 8 No 2: Desember 2022
Publisher : STMIK AMIKOM Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55635/jic.v8i2.165

Abstract

Permainan memori, atau yang kadang-kadang disebut konsentrasi, adalah permainan kartu yang cukup populer dimainkan oleh anak-anak dan orang dewasa di seluruh dunia. Memori yang baik adalah salah satu kualitas yang dibutuhkan untuk berhasil di dalamnya. Permainan  memori dapat membantu perkembangan kognitif anak secara keseluruhan diantaranya membantu anak berkonsentrasi, melatih memori jangka panjang, melatih memori visual, membantu anak berpikir kritis. Dengan pesatnya perkembangan teknologi, yang mana permainan tradisional sudah tidak cukup menarik lagi untuk dimainkan, oleh karena itu pada penelitian ini dibuatlah permainan memory yang dapat dimainkan pada smarthphone dengan sistem operasi android. Model atau metode penelitian yang digunakan adalah metode Prototyping. Model desain prototipe dibuat lebih cepat sehingga waktu yang dibutuhkan untuk pengembangan game lebih singkat. Karakteristik ini sangat sesuai dengan kebutuhan sistem yang ada yang hanya membutuhkan waktu yang singkat dalam pengembangannya. Tools yang akan digunakan peneliti adalah MIT App Inventor untuk membangun sebuah aplikasi Android. Hasil dari penelitian ini diharapkan dapat membuat game mobile berbasis androidyang dapat mengacak gambar dan kartu sehingga dapat mengoptimalkan permainan di game memory.
Utilization of Generative AI in High School Learning: Opportunities and Challenges Analysis Saputra, Dhanar Intan Surya; Riyanto; Darmayanti, Irma; Kuncoro, Adam Prayogo
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.v4i2.494

Abstract

Study This aims to analyze opportunities and challenges in implementing generative AI technologies, such as ChatGPT and DeepSeek, in learning at the level of intermediate school in Indonesia. The approach is qualitative and descriptive based on studies, cases, and research. This is to study document policy, report education, and literature exploring readiness source power, integration processes and impacts implementation technology. The research results show that generative AI potential increases students’ motivation and participation, primarily through learning media interactive and personalized material. However, there are obstacles in form gap in digital access and lack of it related to teacher training AI technology. In conclusion, the success of the implementation of generative AI relies heavily on equity digital infrastructure, training sustainable for power educators, and proper supervision of policies. Novelty from study This lies in mapping integrative opportunities and obstacles to generative AI implementation in context education middle in Indonesia. Recommendations policy covering improvement of digital access nationally, compilation guidelines on using AI in schools, and periodic evaluation of the effectiveness of AI-based learning.
Pelatihan Nearpod bagi Guru untuk Meningkatkan Interaktivitas Pembelajaran di SD Negeri 1 Toyareka Mustofa, Dinar; Darmayanti, Irma; Pramono, Agus; Apitiadi, Satyo Dwi; Kusuma, Velizha Sandy; Saputra, Dhanar Intan Surya
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.1057

Abstract

The lack of skills among teachers at SD Negeri 1 Toyareka in utilizing interactive learning technology has become a challenge affecting the effectiveness of classroom teaching. This issue prompted a community service initiative in the form of training on the use of the Nearpod platform to enhance teacher’s digital competencies. The objective of this activity was to provide teachers with practical knowledge and skills in using Nearpod to create more interactive learning experiences. The training was conducted in several stages, starting with a needs analysis to assess infrastructure readiness and identify technical challenges, followed by a two-day training session covering an introduction to Nearpod features, hands-on material development exercises, and classroom simulation applications. Evaluation was conducted to measure participants’ improvement in understanding and skills. The training results indicated that most teachers successfully mastered the basic features of Nearpod, such as creating and delivering interactive learning materials. Additionally, teachers reported increased confidence in integrating this technology into their teaching practices. Technical issues, such as unstable internet connections, were the main challenges encountered during the training. Overall, this training had a positive impact on improving teacher’s competencies in integrating learning technology, which has the potential to enrich students learning experiences and enhance classroom interactivity.ABSTRAKKurangnya keterampilan guru SD Negeri 1 Toyareka dalam memanfaatkan teknologi pembelajaran interaktif menjadi tantangan yang memengaruhi efektivitas pembelajaran di kelas. Hal ini mendorong dilakukannya kegiatan pengabdian masyarakat berupa pelatihan penggunaan platform Nearpod untuk meningkatkan kompetensi digital guru. Tujuan kegiatan ini adalah memberikan pemahaman dan keterampilan praktis bagi guru dalam menggunakan Nearpod guna menciptakan pembelajaran yang lebih interaktif. Pelatihan dilaksanakan melalui beberapa tahapan, yaitu analisis kebutuhan untuk menilai kesiapan infrastruktur dan identifikasi kendala teknis, diikuti oleh pelatihan selama dua hari yang mencakup pengenalan fitur Nearpod, latihan pembuatan materi ajar, serta simulasi penerapan di kelas. Evaluasi dilakukan untuk mengukur peningkatan pemahaman dan keterampilan peserta. Hasil pelatihan menunjukkan bahwa sebagian besar guru berhasil menguasai fitur dasar Nearpod, seperti membuat dan menyajikan materi pembelajaran interaktif. Selain itu, para guru merasa lebih percaya diri dalam menggunakan teknologi ini di kelas. Kendala teknis, seperti koneksi internet yang tidak stabil, menjadi tantangan utama yang dihadapi selama pelaksanaan. Secara keseluruhan, pelatihan ini memberikan dampak positif terhadap peningkatan kompetensi guru dalam mengintegrasikan teknologi pembelajaran, yang berpotensi memperkaya pengalaman belajar siswa dan meningkatkan interaktivitas di kelas.
Co-Authors Adam Prayogo Kuncoro Adhimah, Laily Farkhah Agus Pramono Akmali, Fajar Ali Nur Ikhsan Anam, Syaiful Nurul Andi Dwi Riyanto Anunggilarso, Luky Rafi Apitiadi, Satyo Dwi Asro Nasiri Bunga Asriandhini Deuis Nur Astrida Dewi Fortuna Dhanar Intan Surya Saputra Dias Ayu Budi Utami Dias Ayu Budi Utami, Dias Ayu Budi Dony Ariyus Faridatun Nida Harun Alrasyid Herlambang, Ananda Putra Hidayah, Debby Ummul Hidayatuloh, Aden Ikhsan, Ali Nur Jali Suhaman Kusrini Kusrini Kusuma, Velizha Sandy Luki Rafi Anuggilarso Mustofa, Dinar Nandang Hermanto Nandang Hermanto Nikmah Trinarsih Nugraha, Yoga Adi Nurhafiyah, Isti Nurul Hidayati Permadi, Ma’rifan Prastyadi Wibawa Rahayu Primandani Arsi Pungkas Subarkah Putranto, Aldrian Firmansyah Rayinda Maya Anjani Riyanto Riyanto Riyanto Rizki Sadewo Rosana Fadilla Sari Sadewo, Rizki Saputra, Dimas Saputri, Inka Siti Alvi Solikhatin Subarkah, Pungkas Sugandi, Zain Arif Wildan Suhaman, Jali Tarwoto Wanda Fitrianingsih