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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA DoubleClick : Journal of Computer and Information Technology Jurnal Teknologi Sistem Informasi dan Aplikasi JURTEKSI Infotekmesin Jurnal Teknologi Informasi dan Multimedia Journal of Information Systems and Informatics Community Engagement and Emergence Journal (CEEJ) IJIIS: International Journal of Informatics and Information Systems International Journal for Applied Information Management Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat
Yunita, Ika Romadoni
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Other

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Determinants of Consumption Behavior Among the Millennial Generation Saputra, Aina Aldi; Sarmini, Sarmini; Widiawati, Chyntia Raras Ajeng; Yunita, Ika Romadoni
International Journal of Informatics and Information Systems Vol 7, No 3: September 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i3.216

Abstract

This study examines the factors influencing consumption behavior among the millennial generation, emphasizing the effects of family size, education level, and income on food, non-food, and total household expenditure. As digitalization and demographic shifts continue to redefine modern lifestyles, understanding millennial consumption patterns offers valuable insights into changing welfare dynamics and economic structures. Employing a quantitative associative approach, data were collected from 120 millennial households through structured questionnaires and interviews, complemented by secondary data from the Central Statistics Agency (BPS). Multiple linear regression analysis was used to evaluate both simultaneous and partial relationships among variables, while descriptive statistics were applied to illustrate the respondents’ socioeconomic characteristics. The findings show that family size, education, and income collectively have a significant influence on consumption across all categories. Partially, family size and income significantly affect food-related spending, whereas education does not exhibit a notable impact in this segment. In contrast, for non-food and total consumption, all three variables display a positive and significant relationship, suggesting that higher income and education levels encourage more diversified expenditures. Moreover, non-food consumption (57.19%) surpasses food consumption (42.81%), supporting Engel’s Law and indicating improved living standards alongside a shift toward lifestyle diversification. Nonetheless, the proportion of non-food expenditure remains moderate, reflecting cautious financial behavior amid lingering post-pandemic income constraints. These findings align with Keynesian and Life-Cycle consumption theories, illustrating how income stability, education, and life-stage factors shape millennial consumption decisions. Overall, this study underscores the evolving nature of millennial households toward technology-driven, experience-based, yet financially mindful consumption patterns, providing implications for policymakers and businesses to enhance income resilience, digital literacy, and sustainable consumption growth in the digital economy.
Meningkatkan Literasi dan Numerasi dengan Memadukan Teknologi pada Program Kampus Mengajar 6 di SD N 2 Tamansari Safitri, Arisanti Dwi; Yunita, Ika Romadoni; Ajeng Widiawati, Chyntia Raras
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 4, No 2 (2024): Abdira, April
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v4i2.445

Abstract

The Teaching Campus is an MBKM (Free Learning Campus) program organized by the Ministry of Education and Culture with the aim of providing opportunities for students to learn and develop themselves through activities outside of lectures. This program gives students the opportunity to become teacher partners, encourage learning innovation, and develop literacy, numeracy, and technology adaptation in the 3T area. Focus is also given to efforts to increase people's interest in reading and the importance of literacy and numeracy, including the obstacles faced in its implementation. This research aims to revive the school literacy movement through literacy and numeracy familiarization activities. The research results show that technical training, understanding material concepts, and introducing technology are the main focuses of mentoring. The implementation of the Literacy and Numeracy Minimum Competency Assessment (AKM) with technological devices provides positive results, including increasing understanding of numeracy material, individual development, motivation and self-confidence of students. This research provides a positive picture of the potential for improving the quality of basic education through the Teaching Campus program.
Implementasi Algoritma Logistic Regression pada Pembuatan Website Sederhana untuk Prediksi Penyakit Jantung Raras Ajeng Widiawati, Chyntia; Nurazizah, Lisa; Yunita, Ika Romadoni
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2048

Abstract

Heart disease is a deadly disease, early recognition is important to prevent the fairly high death rate due to this disease. There are various ways to detect heart disease early, one of which is by utilizing machine learning. In this research, the author uses secondary data, namely data taken from the website www.kaggle.com for the prediction process. The amount of data used was 297 data, with details of 160 data not detecting heart disease, and 137 data detecting heart disease. Apart from making predictions from heart disease patient data using the logistic regression algorithm, this research also implements the model that has been created on the website. The results of implementing the logistic regression algorithm in this research are an accuracy value of 0.9, precision of 0.92, recall of 0.86, and f1-score of 0.89. After measuring using these 4 parameters, the model that has been created is then implemented into a simple website using the Rapid Application Development (RAD) method.
Pengembangan Model Machine Learning Berbasis Linear Discriminant Analysis (LDA) untuk Deteksi Gejala Penyakit Jantung Menggunakan Python Saputri, Inka; Raras Ajeng Widiawati, Chyntia; Sarmini , Sarmini; Yunita, Ika Romadoni
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2377

Abstract

Heart disease is the leading cause of death globally and is often not detected early due to limited awareness and the high cost of medical diagnosis. This study aims to develop an accurate and efficient prediction model for heart disease using the Linear Discriminant Analysis (LDA) algorithm. The dataset, obtained from Kaggle, contains 1,024 patient records with 14 clinical attributes, including age, blood pressure, cholesterol, and ECG results. The preprocessing steps include handling outliers, duplicates, class imbalance using SMOTE, and feature standardization. The model was evaluated using cross-validation and learning curve analysis. Results show that the optimized LDA model, tuned with GridSearchCV, achieved an accuracy of 82.54%, a recall of 88.91%, a precision of 79.03%, and an F1-score of 83.54%. The model demonstrates balanced and stable performance, although some misclassification in the positive class remains. This study highlights LDA as a promising method for the early detection of heart disease based on structured clinical data.
INFORMATION SYSTEM FOR REPORTING, PREVENTION, AND HANDLING OF SEXUAL VIOLENCE AMONG STUDENTS Setiawan, Ito; Yunita, Ika Romadoni; Maulida, Farah Mei; Serli, Serli
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 2 (2025): Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3559

Abstract

Abstract: The PPKS task force at Universitas Amikom Purwokerto has been established and is actively implementing various programs. However, complaints regarding cases of sexual violence are currently managed through WhatsApp, with limited guidance on the complaint procedures. As a result, many students are unaware of the PPKS task force or how to report incidents, creating obstacles for both the task force in identifying cases and for students seeking to file complaints. This study aims to provide students with an effective and accessible way to report incidents of sexual violence on campus. To develop the complaint information system, the Scrum methodology was used, involving team collaboration to easily adapt to changes throughout the development process. The resulting complaint information system for the prevention and handling of sexual violence has been successfully implemented and tested with students at Universitas Amikom Purwokerto. This system enables students to submit complaints seamlessly online. Testing results indicate that the system functions as intended and meets the expected outcomes.            Keywords: information system; PPKS; complaint; student; scrum  Abstrak: Satuan tugas PPKS Universitas Amikom Purwokerto sudah berjalan dan membuat program kerja, namun dalam proses pengaduan kasus kekerasaan seksual saat ini hanya menggunakan whatsapp dan kurangnya penjelasan tentang prosedur pengaduan yang ada. Banyak mahasiswa yang belum mengetahui adanya satgas PPKS di kampus dan cara pengaduan kasus. Hal tersebut menjadi kendala bagi satuan tugas PPKS dalam mengetahui kasus yang ada dan mahasiswa saat ingin melakukan pengaduan kasus. Oleh karena itu, dibutuhkan sebuah sarana yang efektif dan mudah diakses bagi mahasiswa untuk melakukan pengaduan kasus apabila mahasiswa mengetahui tentang adanya kekerasaan seksual di lingkungan kampus. Tujuan Penelitian adalah untuk membantu memudahkan mahasiswa dalam melakukan aduan tentang adanya kasus kekerasaan seksual di lingkungan Universitas Amikom Purwokerto. Metode dalam pengembangan sistem adalah metode Scrum. Metode Scrum melibatkan keseluruhan tim yang ada di organisasi. Dengan adanya keterlibatan ini maka mudah dalam mengantisipasi perubahan yang terjadi selama pengembangan sistem. Sistem informasi pengaduan pencegahan dan penanganan tindak kekerasan seksual berhasil di terapkan dan diujikan kepada Mahasiswa Universitas Amikom Purwokerto. Dengan adanya sistem informasi pengaduan ini mahasiswa dapat dengan mudah dalam membuat aduan berbasis sistem. berdasarkan daftar uji yang dilakukan terhadap sistem yang dibuat maka dapat disimpulkan bahwa skenario yang diujikan sesuai dengan hasil yang diharapan. Kata kunci: sistem informasi; PPKS; pengaduan; mahasiswa; scrum
Penerapan Teknologi Produksi dan Penguatan Pemasaran untuk Meningkatkan Mutu Produk Mocaf Yunita, Ika Romadoni; Tripustikasari, Eka; Nugroho, Adityo; Cakrakencana, Muhamad Bintang; Rahmawati, Lili Dwi; Rifai, Zanuar; Afiana, Fiby Nur
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 6 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i6.1405

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilaksanakan di Desa Pangebatan dengan sasaran utama BUMDes Berkah Sentosa. Program ini merupakan bagian dari hibah Kemdiktisaintek tahun 2025 yang bertujuan untuk meningkatkan kualitas dan daya saing produk Mocaf (Modified Cassava Flour) melalui penerapan alat produksi modern serta penguatan manajemen pemasaran dan keuangan. Kegiatan dilakukan secara bertahap mulai bulan Juli hingga akhir tahun 2025, melibatkan dosen dan mahasiswa Universitas Amikom Purwokerto. Sebelum pendampingan, proses pengeringan Mocaf membutuhkan waktu 2–3 hari dengan kapasitas produksi 100 kg per siklus. Setelah penerapan teknologi dry house, waktu pengeringan dipersingkat menjadi 24 jam dengan peningkatan kapasitas produksi menjadi 200 kg per siklus. Pelatihan diikuti 10 peserta dengan peningkatan kemampuan berdasarkan hasil pre-test dan post-test.
Comparative Analysis of Random Forest, Logistic Regression and SVM for Stunting Prediction Using Anthropometric Data Widyawati, Shalsa Bela Dwi; Purwadi, Purwadi; Yunita, Ika Romadoni
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1387

Abstract

Stunting remains a critical nutritional issue in Indonesia, significantly impacting the physical and cognitive development of children under five. Prompt and accurate detection of nutritional status is essential for early intervention. This study aims to predict toddlers' nutritional health using the Random Forest algorithm, based on age and height data. From an initial dataset of 120,998 anthropometric records, preprocessing steps—such as duplicate removal and nutritional status recategorization—resulted in a final dataset of 39,425 entries. The research methodology includes data collection, preprocessing, exploratory analysis, model training, handling class imbalance, and performance evaluation using accuracy, precision, recall, and F1-score. The study also compares the Random Forest model with Logistic Regression and Support Vector Machine (SVM). Results show that Random Forest outperforms the other models, achieving perfect classification metrics: Accuracy (1.00), Recall (1.00), F1-Score (1.00), and Cross-validation Accuracy (99.74%). These outcomes highlight Random Forest's robustness in classifying under-five nutrition data, making it an effective tool for rapid and reliable stunting risk detection. This research supports efforts to reduce Indonesia's stunting rate to below 20% by 2024, contributing to national health improvement strategies through technology-driven early diagnosis.
Analisis Kepuasan Pengguna Aplikasi Kehadiran Panda menggunakan Metode System Usability Scale (Studi Kasus: PT. Puskomedia Indonesia Kreatif) Damayanti, Aulia Shafira Tri; Yunita, Ika Romadoni; Subarkah, Pungkas
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 4 (2025): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i4.511

Abstract

PT Puskomedia Indonesia Kreatif has developed the Panda Attendance Application, a digital technology system for village administration with a focus on the smooth flow of employee infor-mation. This application utilizes QR codes and GPS technology for the attendance or absence of village employees at registered coordinates. One of the issues at PT Puskomedia is that village operators face challenges such as needing to contact the PT Puskomedia system operator for manual attendance tracking, leading to a decline in users. Currently, there are various challenges in the use of the Panda Attendance Application by village government institutions. Several com-plaints have been raised by users regarding technical issues and unsatisfactory user experience. The purpose of this study is to evaluate the level of user acceptance of the Panda application. The method used to analyze user satisfaction is the System Usability Scale (SUS) method. The results of this study yielded a SUS score of 46.22, indicating a low category (Grade E), with a percentile rank of 10%, and classified as poor (Grade E). The nature (adjective) of the application falls into the “Poor” category, and the score of 46.22 places the application in the “Not Acceptable” catego-ry according to the level of acceptance. Recommendations for improvement from this analysis in-clude enhancing system stability and technical improvements such as accelerating the QR code reading process. Responding to user feedback and implementing these improvements is expected to enable the Panda attendance application to achieve a higher level of usability and gain better acceptance from users.
Rancang Bangun Aplikasi Pengolala Data Statistik Atlet IKASI Berbasis Website Menggunakan Framework Laravel Kusuma, Dita Ferdian Bayu; Marcos, Hendra; Yunita, Ika Romadoni
Journal of Information System and Informatics Vol 3 No 1 (2021): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v3i1.106

Abstract

Ikatan Anggar Seluruh Indonesia atau disingkat IKASI merupakan induk organisasi cabang anggar diseluruh Indonesia. IKASI Purbalingga sekarang ada sekitar 73 anggota dari tahun 2010 sampai sekarang dan selalu bertambah setiap tahunnya. Namun dengan banyaknya anggota tidak diimbangi dengan sistem pencatatan dan pemantauan atlet yang baik. Hal ini membuat IKASI Purbalingga seringkali terhambat dalam pendataan dan melihat perkembangan atlet saat akan digunakan sebagai bahan acuan untuk memilih atlet yang akan diikutkan perlombaan tingkat provinsi, nasional maupun internasional karena masih menggunakan cara manual. Tujuan dari penelitian ini adalah membangun sebuah aplikasi pengolahan data dan statistik atlet IKASI berbasis website menggunakan framework Laravel. Penelitian ini membahas tentang pembuatan aplikasi pengelolaan data dan cara melihat perkembangan atlet sehingga dapat dipantau dengan baik. Metode pengembangan sistem yang digunakan dalam penelitian ini adalah metode waterfall, dimana proses pembuatannya bertahap hingga diujikan Hasil dari penelitian ini menunjukkan 84,76% pengguna menyatakan aplikasi ini setuju untuk digunakan memantau perkembangan atlet, agar memudah dalam setiap latihan dan pertandingan.
Pelatihan Pengoperasian Komputer Dasar Bagi Anggota PKK Desa Ketenger Kecamatan Baturraden Yunita, Ika Romadoni; Widyawati, Chyntia Raras Ajeng; Damayanti, Aulia Shafira Tri; Khaerunnisa, Luthfi
Community Engagement and Emergence Journal (CEEJ) Vol. 4 No. 2 (2023): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v4i2.3025

Abstract

PKK adalah salah satu lembaga kemasyarakatan desa atau kelurahan yang mewadahi partisipasi masyarakat dalam bidang pemberdayaan kesejahteraan keluarga yang berada di tingkat rukun warga dan rukun tetangga atau sebutan lain yang mengoordinasikan kelompok dasawisma. Dimana salah satu tugasnya adalah membantu pemerintah desa atau kelurahan dalam administrasi kependudukan dan pembangunan daerah. Untuk mendukung tugas tersebut, kelompok PKK desa Ketenger perlu meningkatkan kompetensinya terutama dalam hal pemanfaatan teknologi karena sebagian besar anggota PKK masih sangat tertinggal dalam hal penggunaan teknologi informasi. Sehingga diperlukan pelatihan komputer dasar bagi anggota PKK desa Ketenger.
Co-Authors Adityo Nugroho, Adityo Afiana, Fiby Nur Ajeng Widiawati, Chyntia Raras Aji, Ananda Wahyu Cakrakencana, Muhamad Bintang Chyntia Raras Ajeng Widiawati Damayanti, Aulia Shafira Tri Eka Tripustikasari, Eka Farikhatun, Nofi Fatiha, Muhammad Reza Hendra Marcos, Hendra Hikma Rosalia, Shafni Nur Ikhsan, Ali Nur Ismiyati, Ragilah Khaerunnisa, Luthfi Kusuma, Dita Ferdian Bayu Maulida, Farah Mei Muhamad Awiet Wiedanto Prasetyo Nurazizah, Lisa Prayoga Pribadi Pungkas Subarkah Purwadi Purwadi Rahayu, Mia Setya Rahmawati, Lili Dwi Ramadhan, Rifqi Falih Raras Ajeng Widiawati, Chyntia Rifai, Zanuar Safitri, Arisanti Dwi Saputra, Aina Aldi Saputri, Inka Sarmini Sarmini , Sarmini Sarmini Sarmini Seno, Axel Sandi Serli, Serli Setiawan, Ito Setyaningsih, Gustin Utriani, Tiya Widyawati, Chyntia Raras Ajeng Widyawati, Shalsa Bela Dwi