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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 Infotekmesin Cyber Security dan Forensik Digital (CSFD) IJECA (International Journal of Education and Curriculum Application) 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 Borobudur Educational Review Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Informasi Kesehatan Nasional Jurnal Lentera Pengabdian SmartComp Indonesian Technology and Education Journal Akademika ABDIMASTEK
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 Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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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.
EVALUASI TATA KELOLA TEKNOLOGI INFORMASI PENUNJANG APLIKASI HONDA E-CARE DAN HONDA SMART DEVICE MENGGUNAKAN FRAMEWORK COBIT 5 Lindawati, Meitri; Pasa, Ike Yunia; Murhadi, Murhadi
Jurnal Dialektika Informatika (Detika) Vol. 6 No. 1 (2025): Jurnal Dialektika Informatika(Detika) Vol.6 No.1 Desember 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v6i1.15868

Abstract

Perkembangan teknologi informasi di era digital membawa dampak besar bagi peningkatan efisiensi dan kinerja, termasuk di industri otomotif. Salah satunya pada Cabang Dealer Mobil Honda Tunas Jaya Purworejo yang telah menerapkan sistem Honda Smart Device dan Honda e-Care. Namun, masih dijumpai berbagai kendala tata kelola TI, seperti keterbatasan infrastruktur, minimnya tenaga ahli, tidak adanya pemeliharaan terjadwal, jaringan tidak stabil, serta kurangnya mekanisme pengawasan di tingkat cabang karena kebijakan dikelola secara terpusat. Kondisi ini menimbulkan kesenjangan antara operasional cabang dengan strategi pusat yang berdampak pada efisiensi kerja dan kualitas layanan. Penelitian ini menggunakan kerangka kerja COBIT 5 dengan fokus pada dua subdomain, yaitu DSS01 (Manage Operations) dan MEA01 (Monitor, Evaluate and Assess Performance and Conformance). Data dikumpulkan melalui wawancara, observasi, dan kuesioner kepada sepuluh responden untuk mengukur tingkat kapabilitas saat ini (as-is) dan target yang diharapkan (to-be). Hasil menunjukkan DSS01 berada pada level 3 dengan nilai rata-rata 2,78 dan gap 1,22, sedangkan MEA01 juga pada level 3 dengan rata-rata 2,664 dan gap 1,336. Rekomendasi perbaikan meliputi penyusunan SOP operasional, peningkatan infrastruktur, pelatihan SDM, serta audit TI berkala
Analisis Sentimen Calon Gubernur Jawa Tengah 2024 Menggunakan Metode Naïve Bayes Nuh Hanan, Martin; Muhammad Jumasa, Hamid; Yunia Pasa, Ike
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.
Mobile Financial Management Application at Yanto Pulsa Using Flutter Naufal latiful Hakim; Ike Yunia Pasa
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.330

Abstract

The utilization of digital technology in financial management has become an important need for micro, small, and medium enterprises (MSMEs) to improve recording accuracy and facilitate financial monitoring. However, many MSMEs still rely on manual financial recording, which may lead to recording errors and difficulties in data management. This study aimed to develop a mobile-based financial recording application as a solution for financial management at Yanto Pulsa. The system was developed using the Waterfall method, which consisted of requirement analysis, system design, application development, and testing stages. The application was built using the Flutter framework with Firebase as the backend and Cloud Firestore as the database. The results showed that the application was able to record income and expense data in real-time, present financial summaries, and support effective data management and backup. Black-box Testing results indicated that all application functions operated according to user requirements.
Dream: Digital Media Transformation as an Optimization of Deep Learning Implementation Cahyo Apri Setiaji; Ike Yunia Pasa; Astri Srigustini; Tengku Maaidah bin Tengku A Razak
IJECA (International Journal of Education and Curriculum Application) Vol 9, No 2 (2026): August
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/ijeca.v9i2.38973

Abstract

The background of the research is the low effectiveness of the implementation of elementary school students' deep thinking skills that have not facilitated the development of deep thinking skills. The aim of the research is to increase the effectiveness of deep learning implementation for students. The type of research and development (R&D) adopts the Borg and Gall approach. The subjects of the study were 33 elementary school students. Data collection used observation, validators, tests and questionnaires. Data analysis used descriptive, t-test, and N-Gain. The results of the data analysis showed that the Dream media was able to improve deep thinking skills through the t-test Sig. (2-tailed) 0.000 <0.05, meaning there was a significant difference between the pretest and posttest scores. The results of the N-Gain effectiveness test showed a score of 0.81> 0.7, including the high category. The hypothesis test showed a significant increase in the average score from 66 to 82 so it was concluded that Dream was able to develop deep thinking skills. The implication of this research is that learning media based on Articulate Storyline is a solution to increase learning participation, cooperation, and develop deep thinking skills.
Analisis Klasterisasi Wilayah Berdasarkan Tingkat Kepadatan Penduduk Menggunakan Algoritma K-Means Berbasis Sistem Informasi Geografis Mustafa Iffat Shafi Athallah; Wahju Tjahjo Saputro; Ike Yunia Pasa
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.
Perbandingan Kinerja Algoritma Random Forest, Support Vector Machine, dan Naive Bayes Pada Klasifikasi Judul Skripsi Menggunakan Variasi N-Gram Nur Wachid Adi Prasetya; Ike Yunia Pasa
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Choosing a thesis topic remains challenging because many students struggle to select an appropriate research title. Thesis title classification can support this process by helping identify suitable research areas. Although classification algorithms have been widely applied in sentiment analysis, comparative studies of Random Forest, Support Vector Machine (SVM), and Naive Bayes, for thesis title classification using N-Gram features remain limited. This study compares these algorithms through text preprocessing, TF-IDF-based N-Gram feature extraction, and evaluation using confusion matrices and processing time. The dataset consists of 96 thesis titles classified into four categories: Information Systems, Multimedia, Networks, and IoT & Artificial Intelligence. The results show that SVM achieved the best performance, with 80% accuracy, 89% precision, 80% recall, an F1-score of 81.46%, and a processing time of 0.003 seconds, indicating that SVM is the most effective algorithm for thesis title classification compared with Naive Bayes and Random Forest.
INGGRIS INGGRIS Cahyo Anggoro; IKE YUNIA PASA IKE; 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.
Penguatan Keterampilan Fiber Optik Siswa TKJ melalui Workshop dan Praktik Instalasi Jaringan Pendukung Smart Village Dewi Chirzah; Ike Yunia Pasa; Maulana Ifandika
ABDIMASTEK Vol. 5 No. 1 (2026): Juli
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v5i1.5620

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa serta guru Teknik Komputer dan Jaringan (TKJ) SMK Batik Perbaik Purworejo dalam bidang teknologi fiber optik sebagai dukungan terhadap pengembangan Smart Village dan transformasi digital desa. Permasalahan utama mitra adalah keterbatasan pemahaman dan pengalaman praktik terkait teknologi fiber optik akibat belum adanya pelatihan khusus, keterbatasan alat praktik, serta minimnya integrasi materi fiber optik dalam pembelajaran reguler sekolah. Kegiatan dilaksanakan menggunakan metode workshop dan hands-on training berbasis praktik langsung dengan pendekatan partisipatif. Tahapan kegiatan meliputi koordinasi dan persiapan, penyusunan modul dan alat praktik, pre-test, penyampaian teori, praktik instalasi dan pengujian jaringan fiber optik, post-test, refleksi, serta evaluasi kegiatan. Materi pelatihan mencakup teori dasar fiber optik, splicing, konektorisasi, pengujian kabel, dan simulasi jaringan FTTH sederhana. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta berdasarkan hasil pre-test dan post-test serta meningkatnya kepercayaan diri peserta dalam melakukan praktik instalasi jaringan fiber optik. Peserta aktif mengikuti praktik pengamatan kabel, cleaving, penyambungan kabel menggunakan splicer, pemasangan konektor, dan simulasi jaringan fiber optik dengan pendampingan tim dosen dan mahasiswa. Evaluasi mitra menunjukkan bahwa kegiatan memberikan pengalaman praktik baru yang relevan dengan kebutuhan industri jaringan modern dan mendukung pengembangan pembelajaran berbasis praktik industri di sekolah. Program juga menghasilkan komitmen keberlanjutan berupa pengembangan teaching factory dan praktik jaringan fiber optik skala kecil di lingkungan sekolah sebagai dukungan terhadap pembangunan jaringan internet desa berbasis Smart Village. Dengan demikian, kegiatan pengabdian ini berkontribusi dalam penguatan kompetensi sumber daya manusia vokasional pada bidang teknologi jaringan modern sekaligus mendukung pengembangan transformasi digital desa berbasis Smart Village.
Beyond Usability: Uncovering the Paradox of Website Quality and User Satisfaction in Indonesian Higher Education Ilham Chandra Pangestu; Murhadi; Ike Yunia Pasa
Indonesian Technology and Education Journal Vol 4 No 2 (2026): Agustus
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/itej.v4i2.1245

Abstract

This study aims to examine the effects of usability quality, information quality, and service interaction quality on user satisfaction with the official website of Muhammadiyah University of Purworejo using the WebQual 4.0 framework, supported by Importance-Performance Analysis (IPA). A descriptive quantitative approach was employed, with data collected through an online questionnaire distributed to 130 active students selected using non-probability convenience sampling; 30 responses were used for validity and reliability testing, while 100 responses were analyzed in the main study. The data were processed using IBM SPSS Statistics 26 through Pearson correlation, Cronbach’s Alpha, multiple linear regression, partial t-tests, coefficient of determination, and IPA. The findings reveal that usability quality has a negative and significant effect on user satisfaction (β = −0.168; p = 0.037), whereas information quality (β = 0.284; p = 0.001) and service interaction quality (β = 0.533; p = 0.000) have positive and significant effects, with service interaction quality emerging as the strongest predictor. The model explains 67.6% of the variance in user satisfaction. The originality of this study lies in its explanation of the negative usability effect through expectation-disconfirmation theory and the Technology Acceptance Model, as well as its integration of WebQual 4.0 regression with IPA to generate prioritized improvement strategies. The findings imply that UMPWR website managers should urgently improve interface usability, maintain strong service interaction quality, and sustain accurate and timely information provision to enhance user satisfaction.
Co-Authors Agung Nugroho Ahamd Mubaroq, Masnu Ahmad Kurniawan Al Fatoni, Firmansyah Anam, M Khairul Anggoro, Cahyo Anisa Rahayu Arif Tri Widiyatmoko Arum Ratnaningsih Astri Srigustini Aviani, Anggi Cahyo Anggoro Cahyo Apri Setiaji Daniel Alexander Octavianus Turang Dedy Hariyadi Delphine Yusticia Ratnasari Dewi Chirzah Dhea Kalingga Lintang Dwiki Andrianto Efrizoni, Lusiana Faizatun Karomah Fakhri Khairi Febriarini, Nurul Isnaini Hastiningrum, Citra Annisa Ilham Chandra Pangestu Irvan Rifa&#039;i Irvan Rifa'i Jumasa, Hamid Muhammad Kartina Diah K. W. Khairi, Fakhri Krisna Widatama Lidia Putri Fitriana Lindawati, Meitri Masnu Ahamd Mubaroq Maulana Ifandika Muhammad Bambang Firdaus Murhadi Murhadi Murhadi Murhadi Murhadi Murhadi Mustafa Iffat Shafi Athallah Naufal latiful Hakim Nuh Hanan, Martin Nur Wachid Adi Prasetya Nurhayati Nurhayati Nurhayati Nurul Bahiyah Nurul Isnaini Febriarini Prisnadela Purwanto, Muhammad Ardi Putu Sudira Ratih Hafsarah Maharrani Riyanto, Sabar Satria, Mohamad Ganda Suryadi, Agung Tengku Maaidah bin Tengku A Razak Tri Rochmadi Wahju Tjahjo Saputro Wuri Setyowardani Yoga Sahria