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All Journal EGALITA Dinamisia: Jurnal Pengabdian Kepada Masyarakat Infotekmesin JISA (Jurnal Informatika dan Sains) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Journal of English Language and Education TIERS Information Technology Journal Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Jurnal Penelitian Ilmu Pendidikan Indonesia Journal of Artificial Intelligence and Digital Business UNNES International Conference on ELTLT ⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities ⁠International Journal of Asian Pacific Community Service Journal of Information Technology and its Utilization Wanastra: Jurnal Bahasa dan Sastra Pengabdian: Jurnal Abdimas
Annisa Romadloni
Politeknik Negeri Cilacap
Religion Agriculture, Biological Sciences & Forestry Arts 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 Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Support Vector Machine (SVM) - Based Optimization of Leukemia Cell Image Classification Linda Perdana Wanti; Annisa Romadloni; Kukuh Muhammad; Abdul Rohman Supriyono
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2974

Abstract

Leukemia is a type of blood cancer characterized by the uncontrolled proliferation of abnormal white blood cells that originate from the bone marrow. Early detection of leukemia poses a significant challenge in the medical field, as the conventional diagnostic process still relies on manual microscopic observation by hematologists, which is time-consuming and prone to subjective errors. This study aims to analyze the potential of the Support Vector Machine (SVM) algorithm in optimizing the classification of leukemia cell images based on morphological and texture features extracted from microscopic images. The test results show that the SVM model with the RBF kernel provides the best performance with an accuracy of 96.4%, a precision of 95.8%, a recall of 96.1%, and an F1-score of 96.0%, surpassing the results of linear and polynomial kernels. The analysis shows that the use of a combination of shape and texture features has a significant effect on improving classification accuracy.
Improving Content Quality through Standardized Photos, Vertical Videos, and Captions for BAZNAS Cilacap MSMEs Annisa Romadloni
⁠International Journal of Asia Pacific Community Service Vol. 2 No. 2 (2025)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/ktwa5n63

Abstract

The principal challenges faced by the micro, small, and medium enterprises supported by the National Amil Zakat Agency of Cilacap Regency are inconsistent visual-content quality, the absence of a simple workflow, and weak security and copyright-compliance practices, which together lead to unstable performance across digital channels. The community service set out to design and evaluate an intensive, practice-based training that standardizes the production of product photographs, short vertical videos, and promotional captions, while also instilling account governance and publishing routines. The method used a two-day field-action design with target outputs per participant of one set of photographs, one video, and three promotional captions; output quality was assessed with a five-point rubric. The findings indicate that the output reached the “publishable” category, with mean scores near the midpoint of the scale. It is concluded that a simple, standardized training model can stabilize content quality and encourage early improvements in digital-channel performance; extending the monitoring period and improving link tagging are recommended to demonstrate more convincingly the connection between platform activity and transactions.
Politeness and Indirectness: When Sexism Hides Behind Advice in Workplace Statements Annisa Romadloni; Linda Perdana Wanti; Laura Sari
Wanastra: Jurnal Bahasa dan Sastra Vol. 18 No. 1 (2026): March
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/wanastra.v18i1.12140

Abstract

Sexism in workplaces is often framed as ordinary guidance or evaluation rather than as overt hostility, which can cause sentiment and toxicity filters to miss it. A corpus analysis was conducted using the Sexist Workplace Statements dataset (1,142 statements; 627 labeled sexist). A pragmatics-informed operationalization was applied to classify sexist statements as benevolent or hostile and to label each statement’s primary speech act as advice, evaluation, insult, joke, or complaint. Benevolent sexism was estimated to constitute 73.8% of sexist statements, while hostile sexism constituted 26.2%. Benevolent sexism was concentrated in evaluation and advice, whereas hostile sexism was concentrated in insults. A sentiment-or-profanity toxicity proxy achieved high precision but low recall for sexism, capturing most hostile sexism while missing most benevolent sexism. A supervised baseline (TF–IDF plus logistic regression) performed well on the binary label but still showed false negatives dominated by benevolent evaluations. The findings were interpreted through ambivalent sexism theory, speech act theory, and politeness theory, highlighting how indirectness and face-work enable discriminatory norms to be advanced under the guise of help.  These results make explicit that sexism detection systems should incorporate pragmatics- and speech-act-aware features to reliably identify benevolent, “helpful”-framed workplace sexism that standard sentiment/toxicity signals systematically overlook.
English Learning Assistance Using Interactive Media for Children with Special Needs to Improve Growth and Development Linda Perdana Wanti; Annisa Romadloni; Oman Somantri; Laura Sari; Nur Wachid Adi Prasetya; Anne Johanna
Pengabdian: Jurnal Abdimas Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/abdimas.v1i2.155

Abstract

Background. Children with special needs (ABK) are children who are in several ways different from other children in general. Among the crew members are Special Children (ALB), which consists of children who are blind, deaf, mentally retarded, quadriplegic, mentally disabled and double disabled. Some of the main things that need to be considered in the learning process for ALB are teachers, learning methods, learning approaches, infrastructure and learning support media (teaching aids). Purpose. The purpose of this community service activity is to solve the problems faced by partners in the English learning process, namely when a disorder results in disruption in daily functioning, especially in learning, the student requires special services (children with special educational needs) and requires specific learning methods in addition to appropriate and interactive learning media. Method. The solution offered to overcome this problem is the optimization of teaching methods. The recommended approach in the English language assistance activities for the Cilacap State Polytechnic PkM Team is in the form of prompts and demonstrations. Meanwhile, teaching English can use total physical response (TPR) by maximizing lip reading technique in addition to maximizing the use of flash cards to attract students' interest and focus. Results. The results obtained from this community service activity are increasing the ability of children with special needs to say a few simple words in English. The growth and development of children with special needs increase after the community service activities are completed. This is shown from the evaluation results carried out by the service team by conducting a post-test on ABK. Conclusion. To get significant results, namely increasing the growth and development of ABK, especially in the pronunciation of words in English, it is better if this activity is carried out regularly in the future.
Co-Authors Abdul Rohman Supriyono Andesita Prihantara Annas Setiawan Prabowo Anne Johanna Antonius Agung Hartono Cahya Vikasari, Cahya Eka Tripustikasari, Eka Fadhilla Hazrina Fadillah Fadillah Fadillah Fadillah Ganjar Ndaru Ikhtiagung Hastuti, Hety Dwi Hazrina, Fadhilla Hety Dwi Hastuti Ilham Aditya Pangestu Isa Bahroni, Isa Johanna, Anne Kukuh Muhammad Laura Sari Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wati Listyaningrum, Rostika Lutfi Syafirullah Muhammad Abdul Muin Muhammad Nur Faiz Musawarman, Mr. Nur Wachid Adi Prasetya Nur Wahyu Rahadi Oman Somantri Pramita, Ayu Qisthi Alhazmi Hidayaturrohman Rahadi, Nur Wahyu Rahmawan Bagus Trianto Ratih Hafsarah Maharrani Ricak Agus Setiawan Rostika Listyaningrum Rostika Lityaningrum Sari, Laura Supriyono, Abdul Rohman Wanti, Linda Perdana Widianingsih, Betti