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All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Dinamisia: Jurnal Pengabdian Kepada Masyarakat INTEK: Informatika dan Teknologi Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Applied Technology and Computing Science Journal Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Journal of Innovation Information Technology and Application (JINITA) Journal of Community Development Jurnal Ekonomi dan Teknik Informatika Jurnal Abdi Panca Marga Pengabdian Jurnal Abdimas Damhil: Jurnal Pengabdian kepada Masyarakat
Nur Wachid Adi Prasetya
Politeknik Negeri Cilacap
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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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%.
English Learning Assistance Using Interactive Media for Children with Special Needs to Improve Growth and Development Wanti, Linda Perdana; Romadloni, Annisa; Somantri, Oman; Sari, Laura; Prasetya, Nur Wachid Adi; Johanna, Anne
Pengabdian: Jurnal Abdimas Vol. 1 No. 2 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.496 KB) | 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.
Wood Waste Crushing Machine Training at BUMDes Banjarwaru Sejahtera Wanti, Linda Perdana; Laksana, Nur Akhlis Sarihidaya; Jati, Unggul Satria; Tarigan, Roy Aries Permana; Girawan, Bayu Aji; Ariawan, Radhi; Prasetya, Nur Wachid Adi; Ikhtiagung, Ganjar Ndaru
Pengabdian: Jurnal Abdimas Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v2i3.847

Abstract

Background. BUMDes Banjarwaru Sejahtera is a business owned and managed by the people of Banjarwaru Village, Cilacap Regency. Some of the businesses that have been managed by BUMDes Banjarwaru Sejahtera include renting molen machines and making handicrafts such as broom handles and woven bamboo household crafts which produce an abundance of wood waste left over from the production process. So far, this wood waste has been sold to tofu craftsmen as fuel for the tofu production process. Purpose. People can use wood waste as added value by processing wood waste into handicrafts that have high economic value so that they can improve the welfare of the people of Banjarwaru village. Through this community service activity, training will be held on the use of wood waste chopping machines so that processed wood waste can be made into handicrafts such as particle boards or other handicrafts. Method. The method used is a lecture method where the community service team who are lecturers at the Cilacap State Polytechnic provide training on the use of wood waste chopping machines to members of BUMDes Banjarwaru Sejahtera and several wood craftsmen in Banjarwaru village. Results. The results of this community service activity have had a positive impact on business development at BUMDes Banjarwaru Sejahtera. Conclusion. Through this community service activity, it can be concluded that this activity has had a positive impact on the business development of BUMDes Banjarwaru Sejahtera. Apart from this, training in the use of wood waste chopping machines can also increase the competence of wood craftsmen in Banjarwaru village so they can produce more varied crafts made from wood waste.
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.
Perbandingan Metode Pembobotan Teks dari Algoritma Winnowing dan TF-IDF dikombinasikan Algoritma Cosine Similarity Santi Purwaningrum; Oman Somantri; Nur Wachid Adi Prasetya
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 12, No 4 (2024): Vol. 12, No 4, Desember 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v12i4.130627

Abstract

Tugas akhir di perguruan tinggi adalah syarat kelulusan untuk mendapatkan gelar sarjana atau ahli madya. Tingginya keinginan mahasiswa untuk segera lulus terkadang membuat mahasiswa melakukan tindakan plagiarisme. Plagiarisme adalah tindakan meniru dan mengutip bahkan menyalin atau mengakui hasil karya orang lain sebagai hasil karya dirinya sendiri. Penelitian ini bertujuan untuk mengembangkan sistem yang mendeteksi kesamaan antar dokumen teks berbahasa Indonesia dengan membandingkan dua metode pembobotan teks. Algoritma Winnowing dan TF-IDF adalah metode pembobotan teks yang dikombinasikan dengan metode Cosine Similarity. Cosine Similarity merupakan algoritma yang berfungsi untuk mencari nilai kesamaan antar dokumen dari hasil pembobotan algoritma winnowing dan TF-IDF. Hasil penelitian menunjukkan bahwa algoritma Winnowing memiliki nilai kesamaan rata-rata 66%, lebih tinggi dibandingkan TF-IDF yang hanya memiliki rata-rata 57%. Performa algoritma diukur menggunakan akurasi dan RMSE. Nilai akurasi pada algoritma Winnowing adalah 90.47% dan algoritma TF-IDF 81.84%. Nilai RMSE pada algoritma Winnowing sebesar 5,44 dan TF-IDF sebesar 5,34.Kata kunci : Winnowing, TF-IDF, Cosine Similarity.The final project at a higher education institution is a graduation requirement to obtain a bachelor's or associate degree. The strong desire of students to graduate quickly sometimes leads them to commit plagiarism. Plagiarism is the act of imitating, quoting, or even copying or acknowledging someone else's work as their own. This research aims to develop a system that detects similarities between Indonesian text documents by comparing two text weighting methods. The Winnowing and TF-IDF algorithms are text weighting methods combined with the cosine similarity method. Cosine similarity is an algorithm used to find the similarity value between documents based on the weighting results of the Winnowing and TF-IDF algorithms. The results of the study showed that the Winnowing algorithm had an average similarity value of 66%, higher than TF-IDF which only had an average of 57%. The performance of the algorithm uses measurements and RMSE. The algorithm's performance was measured using accuracy and RMSE. The accuracy value of the winnowing algorithm is 90.47% and the TF-IDF algorithm is 81.84%. The RMSE value of the Winnowing algorithm is 5.44 and TF-IDF is 5.34.Keywords: Winnowing, TF-IDF, Cosine Similarity. 
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
Fuzzy Expert System for Decission Support to Diagnosis Leukemia Wanti, Linda Perdana; Prasetya, Nur Wachid Adi; Nafisa, Zahrun; Mulyadi, Rahmat; Ramadani, Muhammad
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2349

Abstract

Leukemia is a cancer of the blood and bone marrow. In leukemia, the bone marrow produces too many abnormal white blood cells. These abnormal cells cannot fight infections well and can displace healthy blood cells, which can cause anemia and bleeding. In this study, a fuzzy method will be implemented to diagnose leukemia and the results will later be compared with expert diagnoses. Fuzzy logic was chosen because it allows for degrees of truth between 0 (completely false) and 1 (completely true) and it is suitable for situations where human expertise relies on experience and judgment rather than fixed rules. Fuzzy systems can analyze large amounts of data quickly, thereby accelerating the diagnosis and decision-making process, especially when used in medical decision support systems. This study produced a leukemia diagnosis accuracy of 88.83% when compared with the results of expert diagnoses using the same symptom and sample data.
Co-Authors Aditya Saputra, Muhammad Bintang Agus Susanto Alif Iftitah Andesita Prihantara Andriansyah Zakaria Annas Setiawan Prabowo Annisa Romadloni Ari Kristiningsih Awaludin, Ihza Dwi Krisbiantoro, Dwi Dwi Kumara, Dimas Maulana Dwi Novia Prasetyanti Eka Tripustikasari Fadillah Fadillah Furi, Syamaidzar Nadifa Ganjar Ndaru Ikhtiagung Girawan, Bayu Aji Hastuti, Hety Dwi Hety Dwi Hastuti Hijriah Fajar Muhammad Insan Ike Yunia Pasa Ike Yunia Pasa Ikhtiagung, Ganjar Ndaru Ilham Aditya Pangestu Isa Bahroni, Isa Jati, Unggul Satria Johanna, Anne Khoeruddin Wittriansyah Kristiningsih, Ari Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wanti Muhammad Nur Faiz Mulyadi, Rahmat Nafisa, Zahrun Nur Akhlis Sarihidaya Nur Akhlis Sarihidaya Laksana, Nur Akhlis Sarihidaya Nur Wahyu Rahadi Oman Somantri Prih Diantono Abda`u Purwaningrum, Santi Radhi Ariawan Rahmat Hidayat Ramadani, Muhammad Ratih Hafsarah Maharrani Roy Aries Permana Tarigan Santi Purwaningrum Santi Purwaningrum Sari, Laura Sarihidaya Laksana, Nur Akhlis Sri Kusumadewi Wanti, Linda Perdana Wittriansyah, Khoerudin