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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdi Panca Marga Journal of Multimedia Trend and Technology UNNES International Conference on ELTLT Damhil: Jurnal Pengabdian kepada Masyarakat
Wanti, Linda Perdana
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Physics Public Health Social Sciences Other

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Combination certainty factor method and fuzzy expert system module to determine the dose of leukemia drugs Krisbiantoro, Dwi; Wanti, Linda Perdana; Adi Prasetya, Nur Wachid
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1915-1923

Abstract

Leukemia is a type of blood cancer. Treatment for leukemia patients can last for years because the dose of medication given is adjusted to the patient's immune system. The aim of this research is the use of information technology through a combination of certainty factors and the development of a fuzzy expert system (FES) module to determine the therapeutic schedule for administering leukemia drugs. The urgency of this research is to help medical personnel in measuring the dose of leukemia medication to be given to patients so as to increase the cure rate for leukemia patients. The method used is certainty factor and fuzzy logic. The combination of the certainty factor method and the FES module which is carried out using input variables in the form of the severity of the leukemia suffered by the patient is to produce an appropriate therapeutic schedule for administering leukemia drugs. The result of this research is a combination of the factor certainty method and the FES module which has been tested and the accuracy level is 95.17%, the same as recommendations from experts.
Utilization of AR Technology for The Development of Speech Therapy Applications by Optimizing Marked-Based Tracking Method Wanti, Linda Perdana; Somantri, Oman; Karyati, Titin
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 1, February 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i1.1584

Abstract

Autism is a developmental disorder that attacks children mentally and causes difficulties in interacting with the social environment. Therapy that can be done to people with autism to deal with communication disorders is speech therapy. Application usage health or better known as mobile health is easy and fast to help users in accessing information about various health problems, one of which is child development or better known as an autism spectrum disorder (ASD) which was developed using augmented reality (AR) technology. The purpose of the study is to optimizing the marked-based tracking method to augmented reality technology for speech therapy tutorials for children with autism. The results obtained from this study are the SELPY application (Self Autism Therapy) mobile-based speech therapy for people with autism which is a product of the application of appropriate technology in the field of information technology, especially in the health sector. The marked-based tracking method has been successfully implemented in the development of speech therapy AR applications for children with autism spectrum disorder (ASD). This is by the results of the tests that have been carried out, namely distance testing and angle testing. The most ideal distance to detect marker/image targets is 40cm to 50cm with a smartphone tilt angle of 200 to 300.
Application of data mining for diagnosis of ENT diseases using the Naïve Bayes method with genetic algorithm feature selection Wanti, Linda Perdana; Adi Prasetya, Nur Wachid; Awaludin, Ihza; Aditya Saputra, Muhammad Bintang; Furi, Syamaidzar Nadifa; Dwi Kumara, Dimas Maulana
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp398-405

Abstract

Ear, nose, and throat (ENT) disease is a disorder that occurs in the eustachian tube in one of the organs, be it the ear, nose, or throat. Early signs of ENT disease include sore throat, painful swallowing, swollen and red tonsils, runny nose, nosebleeds, blocked nose, discharge from the ears, and others. To determine the diagnosis, it is necessary to carry out a physical examination of the ears, nose, and throat as recommended by an expert, namely an ENT doctor. The research carried out was implementing data mining for the diagnosis of ENT diseases using the Naïve Bayes (NB) method. This method was chosen because it can increase the accuracy, efficiency, and accessibility of health services and is also easy to understand and apply to classify ENT disease symptom data. The NB method was used to build an ENT diagnosis classification model and the model performance was evaluated using accuracy, precision, and recall metrics. To increase the accuracy of the NB algorithm predictions, feature selection using a genetic algorithm can be used. Genetic algorithms can help select the most relevant and significant features, improving the accuracy of NB models by eliminating irrelevant or noisy features. By applying this method, predictions for ENT diseases can be produced with an accuracy of 95.67%.
Analysis of Social Commerce Success Using the Expectation Confirmation Model (ECM) Method Wanti, Linda Perdana; Prihantoro, Andesita
Journal of Multimedia Trend and Technology Vol. 3 No. 3 (2024): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v4i3.80

Abstract

The rapid development of social commerce has changed the way consumers shop and interact with brands. However, the success of social commerce platforms cannot be separated from a deep understanding of the factors that influence consumer satisfaction and purchase intentions. This study aims to analyze the success of social commerce using the Expectation Confirmation Model (ECM) method. ECM is a model that explains that consumer satisfaction is influenced by the confirmation of their expectations of a product or service. This study identifies the main problems in social commerce, namely consumer uncertainty about product quality, transaction security, and shopping experiences that meet expectations. The research method used is a quantitative approach with a survey of consumers who have shopped through social commerce platforms. Data were analyzed using descriptive and inferential statistical techniques to test the research hypothesis. The results of the study showed that confirmation of consumer expectations about product quality, transaction security, and ease of use of the social commerce platform had a positive effect on their satisfaction. In addition, consumer satisfaction also influenced their repurchase intentions on the platform. Based on these findings, this study offers solutions for social commerce managers to increase the success of their platforms. These solutions include providing clear and accurate product information, ensuring transaction security, and improving an easy and enjoyable shopping experience.
Pelatihan Pengelolaan dan Pemilahan Sampah Pada BUMDes Banjarwaru Sejahtera Untuk Menunjang Kemandirian Masyarakat Desa Banjarwaru Wanti, Linda Perdana; Ariawan, Radhi; Prasetya, Nur Wachid Adi
Damhil: Jurnal Pengabdian kepada Masyarakat Vol 3, No 2: December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/damhil.v3i2.28153

Abstract

The Community Service (PKM) activity carried out in Banjarwaru Village aims to empower the community through structured and effective waste management. The partner in this program, namely BUMDes "Banjarwaru Sejahtera," is at the forefront of efforts to realize village economic independence by utilizing waste as one of the economic resources. This activity was initiated with the background of problems faced by the community, especially the low awareness of waste management which results in the accumulation of waste in the surrounding environment which has a negative impact on health and environmental aesthetics. Another problem found is the lack of facilities and infrastructure for waste management. To overcome this, the PKM program that is being run carries various solutions designed according to the needs and potential in Banjarwaru Village. The solutions implemented in this program include education and counseling to increase public awareness of the importance of waste management. This educational activity is carried out through counseling and campaigns that directly involve the village community. The PKM team of Cilacap State Polytechnic also provided additional trash bins at strategic points so that people can easily dispose of trash according to its type. With the implementation of these solutions, the main target to be achieved is to increase public awareness of the importance of waste management and the formation of a more structured waste management system. Through education and provision of facilities, it is hoped that the community can consistently separate waste and actively participate in maintaining the cleanliness of the village environment.
Sistem Pakar Fuzzy Modular untuk Identifikasi Dosis Obat Leukemia Wanti, Linda Perdana; Prasetya, Nur Wachid Adi; Nafisa, Zahrun; Ramadani, Muhammad; Hidayat, Rahmat
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 2: April 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129545

Abstract

Diagnosis dan pengambilan keputusan tentang penyakit dalam bidang medis menghadapi ketidakpastian yang dapat memengaruhi proses pengobatan. Keputusan ini dibuat berdasarkan pengetahuan pakar dan cara seorang pakar dalam mendefinisikan kondisi pasien, gejala yang dialami dan faktor-faktor lain yang memengaruhi. Hasil definisi setiap pakar mungkin saja terdapat perbedaan berdasarkan faktor-faktor tersebut. Fuzzy modular expert system adalah suatu sistem berbasis pengetahuan yang memanfaatkan logika fuzzy untuk menangani ketidakpastian dan modularitas dalam pengambilan keputusan. Dalam sistem dengan ketidakpastian tinggi dan kompleksitas tinggi, logika fuzzy merupakan metode yang cocok untuk pemodelan. Dalam penelitian ini, fuzzy modular expert system untuk pemodelan ketidakpastian dalam pemberian dosis obat untuk terapi penyakit leukemia.  Variabel output yang digunakan pada penelitian ini adalah tingkat toksisitas yang dihasilkan dari proses pemberian dosis obat yang dibagi menjadi lima kategori yaitu sangat rendah, rendah, sedang, tinggi dan sangat tinggi. Variabel output yang kedua adalah kategori stadium leukemia yang diderita oleh pasien yang dibagi menjadi empat kategori yaitu stadium 1, stadium 2, stadium 3 dan stadium 4. Penelitian ini menggunakan 128 data latih pasien dengan dua variabel output. Hasil yang diperoleh menunjukkan bahwa fuzzy modular expert system dalam mengindentifikasi dosis obat yang diberikan sebagai terapi obat leukemia dengan akurasi rata-rata sekitar 94,8% berdasarkan data yang telah diuji dan dibandingkan dengan informasi dari pakar.   Abstract Diagnosis and decision-making about diseases in the medical field face uncertainties that can affect the treatment process. These decisions are based on expert knowledge and how an expert defines the patient's condition, symptoms experienced, and other influencing factors. The results of each expert's definition may differ based on these factors. A fuzzy modular expert system is a knowledge-based system that utilizes fuzzy logic to handle uncertainty and modularity in decision-making. In systems with high uncertainty and high complexity, fuzzy logic is a suitable method for modeling. In this study, a fuzzy modular expert system for modeling uncertainty in leukemia diagnosis. The output variables used in this study are the level of toxicity resulting from the drug dosing process which is divided into five categories, namely shallow, low, medium, high, and very high. The second output variable is the category of leukemia stage suffered by the patient which is divided into four categories, namely stage 1, stage 2, stage 3, and stage 4. This study used 128 patient training data with 2 output variable. The results indicate that the fuzzy modular expert system can diagnose leukemia with an average accuracy of around 94.8% based on data that has been tested and compared with expert diagnoses.
PELATIHAN PEMBUATAN TEPUNG YUTUK PADA KELOMPOK NELAYAN YUTUK DESA WIDARAPAYUNG WETAN CILACAP Kristiningsih, Ari; Wittriansyah, Khoerudin; Hastuti, Hety Dwi; Ariawan, Radhi; Sarihidaya Laksana, Nur Akhlis; Purwaningrum, Santi; Adi Prasetya, Nur Wachid; Wanti, Linda Perdana
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 3 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i3.4403

Abstract

Desa Widarapayung Wetan mempunyai potensi yang khas yaitu yutuk atau undur – undur laut. Pengolahan yutuk saat ini masih terbatas hanya dijadikan keripik ataupun hanya digoreng yang dijual seharga Rp 2.500 per bungkus. Harga jual yutuk yang relatif rendah dan proses pengolahan yang masih terbatas menjadi salah satu penyebab produk olahan yutuk sulit bersaing. Diversifikasi dan pengolahan yutuk menjadi produk yang bernilai tambah perlu dilakukan untuk meningkatkan nilai jual dari yutuk. Yutuk dapat diolah menjadi tepung yutuk. Tepung yutuk kemudian dapat dimanfaatkan menjadi produk olahan lainnya sesuai dengan keinginan.Tepung yutuk diharapkan dapat meningkatkan nilai jual yutuk. Kelompok Nelayan Yutuk Desa Widarapayung Wetan dibekali ilmu dan wawasan untuk mengolah yutuk melalui kegiatan pelatihan pembuatan tepung. Kegiatan terbagi menjadi dua sesi, sesi pertama diawali dengan cara untuk melakukan pengeringan dan penepungan yutuk kemudian dilanjutkan dengan sesi kedua yaitu mengolah yutuk menjadi stik yutuk. Peserta kegiatan mengikuti rangkaian kegiatan dengan antusias. Diharapkan melalui kegiatan ini masyarakat desa Widarapayung Wetan khususnya kelompok nelayan Yutuk dapat meningkatkan nilai jual yutuk dengan menjual variasi olahan yutuk yang berasal dari tepung yutuk
Exploring Speaking-Anxiety Triggers in Polytechnic ESP Course: An Inductive Thematic Analysis Romadloni, Annisa; Sari, Laura; Wanti, Linda Perdana
The Proceedings of English Language Teaching, Literature, and Translation (ELTLT) Vol. 14 (2025)
Publisher : The Proceedings of English Language Teaching, Literature, and Translation (ELTLT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the specific moments and conditions that trigger speaking anxiety among engineering undergraduates in an English for Specific Purposes (ESP) course at a Politeknik Negeri Cilacap. Drawing on open‐ended responses from 101 students, the primary goal was to uncover the classroom scenarios—beyond general anxiety scales—that most disrupt learners’ oral performance. Narrative data were repeatedly reviewed following Braun and Clarke’s inductive thematic analysis procedures; provisional codes for anxiety‐provoking incidents (e.g., more comfortable in a small group, fear of being laughed at, nervous when unprepared) were generated and organized into coherent themes. It is anticipated that speaking anxiety will be found at a moderate level, with the greatest distress being associated with lexical retrieval under time pressure and unprepared, impromptu speaking tasks. Secondary triggers are expected to include concerns about grammatical accuracy and pronunciation, while social factors—such as instructor scrutiny or mixed‐gender audiences—will likely play a smaller role. These predicted patterns underscore the dual burden of technical content mastery and language production in ESP contexts. By pinpointing discipline‐specific anxiety triggers, this work aims to inform targeted pedagogical interventions—like scaffolded vocabulary drills, brief planning aids, and supportive feedback practices—to help ESP instructors foster more confident, resilient speakers.
Comparison of The Dempster Shafer Method and Bayes' Theorem in The Detection of Inflammatory Bowel Disease Wanti, Linda Perdana; Adi Prasetya, Nur Wachid; Somantri, Oman
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.v15i1.1797

Abstract

This study discusses the comparison of the Dempster-Shafer method and Bayes' theorem in the process of early detection of inflammatory bowel disease. Inflammatory bowel disease, better known as intestinal inflammation, attacks the digestive tract in the form of irritation, chronic inflammation, and injuries to the digestive tract. Early signs of inflammatory bowel disease include excess abdominal pain, blood when passing stools, acute diarrhea, weight loss, and fatigue. The Dempster-Shafer method is a method that produces an accurate diagnosis of uncertainty caused by adding or reducing information about the symptoms of a disease. Meanwhile, Bayes' theorem explains the probability of an event based on the factors that may be related to the event. This study aims to measure the accuracy of disease detection using the Dempster-Shafer method compared to the probability of occurrence of the disease using Bayes' theorem. The results of calculating the level of accuracy show that the Bayes Theorem method is better at predicting inflammatory bowel disease with a probability of occurrence of disease in the tested data of 75.9%.
Pemanfaatan Bak Depurasi Yutuk (Undur – Undur Laut) di Desa Widarapayung Wetan Sebagai Upaya Menjaga Keamanan Pangan Kristiningsih, Ari; Wittriansyah, Khoeruddin; Purwaningrum, Santi; Prasetya, Nur Wachid Adi; Wanti, Linda Perdana; Hastuti, Hety Dwi; Ariawan, Radhi; Sarihidaya, Nur Akhlis
Abdi Panca Marga Vol 4 No 1 (2023): Jurnal Abdi Panca Marga Edisi Mei 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Panca Marga Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/abdipancamarga.v4i1.1309

Abstract

Yutuk, which is also known as undur - undur laut, is a typical souvenir from Widarapayung Wetan beach. The handling of yutuk before consumption by community groups processing yutuk is still in a simple way by soaking it in a bucket or tub. Depuration of yutuk or shellfish makes the dirt contained in the organs of the body come out and can reduce the heavy metal content contained therein. This Community Service activity aims to increase the education of yutuk processing groups to use the depuration method with a special yutuk tub with a recirculation system that uses natural filters such as ginger coral, zeolite and activated charcoal. The Community Service activity stage begins with interviews and field observations and then continues with a Focus Group Discussion (FGD) and then implements a yutuk depuration tub for the yutuk processing group in Widarapayung Wetan village. Through Community Service activity, the yutuk processing community groups are equipped with good and correct depuration techniques so that they can be achieved properly and the community can consume them safely and comfortably.
Co-Authors Aditya Saputra, Muhammad Bintang Annisa Romadloni Awaludin, Ihza Dwi Krisbiantoro, Dwi Dwi Kumara, Dimas Maulana Eka Tripustikasari, Eka Furi, Syamaidzar Nadifa Girawan, Bayu Aji Hastuti, Hety Dwi Ikhtiagung, Ganjar Ndaru Jati, Unggul Satria Johanna, Anne Karyati, Titin Kholia, Renanda Sinta Nurul Kristiningsih, Ari Nafisa, Zahrun Nur Akhlis Sarihidaya Laksana, Nur Akhlis Sarihidaya Nur Wachid Adi Prasetya Oman Somantri Prihantoro, Andesita Purwaningrum, Santi Radhi Ariawan Rahmat Hidayat Ramadani, Muhammad Roy Aries Permana Tarigan Sari, Laura Sarihidaya Laksana, Nur Akhlis Sarihidaya, Nur Akhlis Wittriansyah, Khoeruddin Wittriansyah, Khoerudin