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All Journal Seminar Nasional Informatika (SEMNASIF) JITEK (Jurnal Ilmiah Teknosains) SMARTICS Journal INTEK: Informatika dan Teknologi Informasi Surya Abdimas Jurnal Sistem Cerdas ComTech: Computer, Mathematics and Engineering Applications Progresif: Jurnal Ilmiah Komputer Cyber Security dan Forensik Digital (CSFD) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Dialektika Informatika (Detika) Bulletin of Computer Science Research Journal Of Information System And Artificial Intelligence Malcom: Indonesian Journal of Machine Learning and Computer Science Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Informasi Kesehatan Nasional Jurnal Lentera Pengabdian SmartComp Akademika
Ike Yunia Pasa
Universitas Muhummadiyah Purworejo
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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INGGRIS INGGRIS Anggoro, Cahyo; IKE, IKE YUNIA PASA; MURHADI, MURHADI
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.283

Abstract

This study attempts to create interactive learning media using Articulate Storyline software forIndonesian language lessons in grade IV at Muhammadiyah 1 Elementary School in Purworejo Regency.The development was carried out in accordance with the Design Thinking Method, which consists of fivestages, namely empathize, define, ideate, prototype, and test. This study was motivated by the lowapplication of technology in learning and the need for media that can be used to increase students' interestin learning. Data was collected through observation and interviews with students and teachers. The learningmedia designed combines multimedia in the form of videos, audio, animations, and interactive quizzesbased on Google Forms that are directly connected to Google Spreadsheets for assessment. The media isstored in HTML5 and APK application formats so that it can be accessed via computers or smartphones.The results of the pilot test showed that the learning media developed was categorized as highlyeffective with an average effectiveness score of 4.34 based on the signs of learning interest according toSlameto (2011), which consist of the elements of interest, involvement, enjoyment, and attention. Therefore, this learning media can be used as an alternative solution to improve the quality of interactive Indonesian language learning in elementary schools.
Analisis Sentimen Calon Gubernur Jawa Tengah 2024 Menggunakan Metode Naïve Bayes Nuh Hanan, Martin; Hamid Muhammad Jumasa; Ike Yunia Pasa
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10184

Abstract

Social media platform X (formerly Twitter) has become a public space where people can freely express their opinions, including in the context of regional elections. These opinions can be processed into useful information for decision-makers, especially in political contexts. This study aims to analyze public sentiment toward the candidates for Governor of Central Java for the 2024–2029 period using the Naïve Bayes method. The data was collected through a crawling process on X using Tweet-Harvest and relevant keywords. The raw data then underwent preprocessing, including cleaning, case folding, normalization, stopword removal, tokenization, and stemming. Sentiment labeling was performed automatically using the TextBlob library, which classified tweets into positive, negative, or neutral categories. Naïve Bayes was chosen for its effectiveness and efficiency in text classification tasks. The results showed model accuracy of 90.28% for Andika Perkasa and 84.51% for Ahmad Luthfi, using a 90:10 training-to-testing data ratio. Out of 452 total tweets, Andika Perkasa received 350 positive sentiments, slightly more than Ahmad Luthfi, who received 336. These findings indicate that public perception toward both candidates is generally positive, with a slight edge for Andika Perkasa.
Perancangan User Interface (UI) Aplikasi Mobile “Genting” Sebagai Media Pelaporan Layanan Darurat Sahria, Yoga; Pasa, Ike Yunia; Febriarini, Nurul Isnaini; Khairi, Fakhri
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 3 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i3.4173

Abstract

Layanan darurat merupakan suatu layanan yang diberikan oleh suatu organisasi untuk menjamin keselamatan umat. Kualitas suatu layanan di sebuah kota dapat mempengaruhi tingkat keselamatan jiwa manusia. Apabila layanan darurat sudah bagus maka pertumbuhan angka kematian tidak akan terlalu meningkat. Setiap organisasi membutuhkan suatu aplikasi yang dapat terhubung dengan masyarakat. Dengan adanya aplikasi layanan darurat maka organisasi dapat dengan mudah untuk terhubung dengan masyarakat. Desain interface merupakan tahap dasar dalam merancang sebuah aplikasi. Desain interface yang bagus dapat memudahkan pengguna dalam pengoperasikannya. Aplikasi mobile ini menggunakan sistem operasi android. Desain yang dihasilkan meliputi pemetaan kebutuhan pengguna, dan desain user interface. Adanya desain user interface aplikasi mobile ini diharapkan dapat membantu masyarakat untuk dapat terhubung dengan organisasi yang memberikan layanan darurat dengan mudah.
Analisis Klasterisasi Wilayah Berdasarkan Tingkat Kepadatan Penduduk Menggunakan Algoritma K-Means Berbasis Sistem Informasi Geografis Athallah, Mustafa Iffat Shafi; Saputro, Wahju Tjahjo; Pasa, Ike Yunia
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1015

Abstract

This study aims to analyze and map the population density of regencies and municipalities in Jawa Tengah using a spatial analysis approach based on Geographic Information Systems (GIS) and the K-Means clustering algorithm. The main issue addressed is the lack of systematically classified and informative population density mapping to support spatial analysis and regional decision-making. Secondary data were obtained from the Central Bureau of Statistics (BPS), including total population, population growth rate, population percentage, population density per square kilometer, and administrative boundary spatial data. Prior to clustering, all variables were normalized using the Min-Max scaling method to prevent bias caused by differences in variable ranges in Euclidean distance calculations. The research employed a quantitative descriptive method with K-Means (K=3) to classify regions into low, medium, and high population density clusters. The results indicate that out of 35 regencies/municipalities, 7 regions (20%) fall into the high-density cluster, 22 regions (62.86%) into the medium-density cluster, and 6 regions (17.14%) into the low-density cluster. The implementation of the clustering results into a thematic map using a color scheme of red (high), yellow (medium), and green (low) effectively visualizes spatial distribution patterns, thereby supporting data-driven regional planning and spatial-based policy formulation.
Co-Authors Agung Nugroho Ahamd Mubaroq, Masnu Ahmad Kurniawan Al Fatoni, Firmansyah Anam, M Khairul Anggoro, Cahyo Anisa Rahayu Arif Tri Widiyatmoko Arum Ratnaningsih Athallah, Mustafa Iffat Shafi Aviani, Anggi Cahyo Anggoro Daniel Alexander Octavianus Turang Dedy Hariyadi Delphine Yusticia Ratnasari Dhea Kalingga Lintang Dwiki Andrianto Efrizoni, Lusiana Faizatun Karomah Fakhri Khairi Febriarini, Nurul Isnaini Hastiningrum, Citra Annisa Irvan Rifa'i Jumasa, Hamid Muhammad Kartina Diah K. W. Khairi, Fakhri Krisna Widatama Lidia Putri Fitriana Lindawati, Meitri Muhammad Bambang Firdaus Murhadi Murhadi Murhadi Murhadi Murhadi Nuh Hanan, Martin Nur Wachid Adi Prasetya Nurhayati Nurhayati Nurhayati Nurul Bahiyah Nurul Isnaini Febriarini Prisnadela Purwanto, Muhammad Ardi Putu Sudira Ratih Hafsarah Maharrani Satria, Mohamad Ganda Suryadi, Agung Tjahjo Saputro, Wahju Tri Rochmadi Wahju Tjahjo Saputro Wuri Setyowardani Yoga Sahria