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All Journal International Journal of Electrical and Computer Engineering Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 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 Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi 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 Damhil: Jurnal Pengabdian kepada Masyarakat Pengabdian: Jurnal Abdimas
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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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
Sistem Pakar Deteksi Dini Penyakit Preeklamsia pada Ibu Hamil Menggunakan Metode Certainty Factor Adi Prasetya, Nur Wachid; Perdana Wanti, Linda; Sari, Laura; Puspitasari, Lina
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.1050

Abstract

Preeclampsia is a disease in pregnant women characterized by high blood pressure and positive urine protein. The disease has a high risk of maternal and fetal death, so there is a need for early detection of mothers at risk of preeclampsia. Early online detection of preeclampsia is the best solution during the Covid-19 pandemic by analyzing the influencing factors. The purpose of this study is to build an expert system for early detection of preeclampsia in pregnant women using the Certainty Factor method and the waterfall system development model in order to provide the possibility of pregnant women suffering from preeclampsia. Testing the accuracy of 30 medical record data for pregnant women resulted in a system accuracy level of 90%, while usability testing resulted in a user satisfaction level of 55 with the System Usability Testing (SUS) score criteria being "Poor", therefore improvements are needed on expert system in the future.
Implementasi Profile Matching Pada Seleksi Ketua dan Wakil Ketua OSIS Alif Iftitah; Linda Perdana Wanti; Dwi Novia Prasetyanti; Nur Wachid Adi Prasetya; Andriansyah Zakaria
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1536

Abstract

The OSIS chairman is the highest leader in the OSIS management structure and is accompanied by a vice-chairman. Therefore, a selection with several criteria is needed to determine the best candidate. Things that are considered in this selection are realism, maturity, organizational experience, public speaking, discipline, character, organizational activity, and responsibility. By utilizing a decision support system, the best candidates are obtained for the candidate for chairman and vice-chairman of the student council. This system is made with the method used to assist the selection process, namely, profile matching. Profile matching is used to find the profile of a job that is sought from a predetermined specification. This method provides a solution and has a clear objective in decision-making. On the other hand, the method used to develop a decision support system is the incremental method. The selection of the incremental method is based on the fact that this method has an iterative nature, which can adapt to the many repetitions that occur during the development process. The novelty of this research is the recommendations generated from the developed decision support system. There are notifications about the results of decisions to users, in this case, the candidates for the OSIS chairman and vice chairman who are alternatives in the election process. This study resulted in recommendations in the form of candidates for OSIS chairman and vice chairman by the candidate's profile.
Indonesia Prasetya, Nur Wachid Adi; Linda Perdana Wanti; Lina Puspitasari; Indonesia
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1635

Abstract

Preeclampsia is a disease of pregnant women, causing many complaints, including dizziness. Massage is the right solution to reduce dizziness since the use of analgesic drugs is not recommended. Submission of massage information can be more effective through digital technology. The purpose of this research is to build an application based on Augmented Reality (AR) as a guide for facial massage movements for midwives and pregnant women to deal with complaints of dizziness for pregnant women. The method used is the Multimedia Development Life Cycle (MDLC), which consists of the stages of making a concept, making a design, collecting materials, combining materials, testing, and distribution. Black box testing on 10 scenarios produces a value of 100%, which means the application can run properly. In addition, usability testing using the System Usabilities Scale (SUS) method shows a value of 69.5, which means that the application has the "good" criteria and is acceptable to users.
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.
Fuzzy Expert System for Decission Support to Diagnosis Leukemia Linda Perdana Wanti; Nur Wachid Adi Prasetya; Zahrun Nafisa; Rahmat Mulyadi; Muhammad Ramadani
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.
Pelatihan Pengolahan Limbah Kayu Mahoni (Swietenia Mahagoni) Pada BUMDes Banjarwaru Radhi Ariawan; Nur Akhlis Sarihidaya Laksana; Unggul Satria Jati; Roy Aries Permana Tarigan; Bayu Aji Girawan; Linda Perdana Wanti; Nur Wachid Adi Prasetya; Ganjar Ndaru Ikhtiagung
Journal of Community Development Vol. 5 No. 2 (2024): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i2.258

Abstract

Banjarwaru village is one of the villages in Cilacap district with the potential for wooden broom handle craft commodities. The processing of mahogany wood (Swietenia mahagoni) into broom handles produces wood waste that has not been utilized optimally. The accumulation of wood waste is caused by a lack of knowledge among the Banjarwaru village woodworking community regarding the potential dangers, benefits, and economic value of wood waste. Therefore, training in wood waste processing into value-added products such as particleboard is needed. The Community service team together with BUMDes Banjarwaru carried out mentoring activities as a solution method for utilizing wood waste. The mentoring activities carried out consist of educating the negative effects of wood waste on the environment, educating the potential and benefits of wood waste in another processed forms, and training in wood waste processing into particleboard. These series of activities succeeded in increasing the woodworking community understanding of wood waste by 81.6%. The success rate of mentoring reached 91,67% shown by 11 out of 12 mentoring participants understood the potential danger, benefits, and other processed forms of wood waste.
Evaluasi Kinerja Model Machine Learning dalam Klasifikasi Penyakit THT: Studi Komparatif Naïve Bayes, SVM, dan Random Forest Nur Wachid Adi Prasetya; Linda Perdana Wanti; Riyadi Purwanto; Isa Bahroni; Rostika Listyaningrum
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.v16i2.2798

Abstract

Classification of Ear, Nose, and Throat (ENT) diseases is essential to support faster and more accurate diagnosis. However, no prior studies have specifically compared the performance of Naïve Bayes, Support Vector Machine (SVM), and Random Forest algorithms in ENT cases. This study aims to evaluate and compare the three classification models in identifying ENT diseases with or without comorbidities. Medical record data were processed through preprocessing, feature selection using ANOVA, and class balancing with SMOTE. The results showed that SVM outperformed the other models with the highest accuracy (59%), followed by Random Forest (57%), and Naïve Bayes (48%). SVM demonstrated superior performance due to its consistent scores across all evaluation metrics. The study concludes that the choice of classification model significantly impacts the accuracy of ENT disease diagnosis.
Studi Perbandingan Kinerja Support Vector Machine Pada Klasifikasi Diabetes Mellitus Menggunakan Fitur Regular Expression dan Non-Regular Expression Nur Wachid Adi Prasetya; Linda Perdana Wanti; Riyadi Purwanto
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.v17i1.3125

Abstract

Diabetes mellitus is a rapidly progressing non-communicable disease that significantly affects quality of life. Clinical information in electronic medical records, such as prescriptions and laboratory results, often appears as unstructured text and therefore requires text-mining techniques for accurate classification. This research compares the performance of the Support Vector Machine (SVM) classifier on diabetes mellitus data processed with and without feature extraction using Regular Expressions (Regex). The workflow includes data preprocessing, feature extraction, TF-IDF weighting, model training, and evaluation using accuracy, precision, recall, and F1-score. Results show that both approaches achieve high accuracy (98.8–98.9%), with the non-Regex model performing slightly better at 98.93% compared to 98.83% for the Regex-based model. These findings indicate that SVM is effective for classifying text-based clinical data, while Regex provides potential benefits but requires further optimization to ensure its suitability for various medical text contexts.
Co-Authors Aditya Saputra, Muhammad Bintang Agus Susanto Akmal Fauzan Ananta Alif Iftitah Alif Iftitah Andesita Prihantara Andriansyah Zakaria Andriansyah Zakaria Annas Setiawan Prabowo Anne Johanna Annisa Romadloni Awaludin, Ihza Bayu Aji Girawan Dwi Krisbiantoro, Dwi Dwi Kumara, Dimas Maulana Dwi Novia Prasetyanti Dwi Novia Prasetyanti Eka Tripustikasari Erlangga Widhi Pramono Fadillah Fadillah Furi, Syamaidzar Nadifa Ganjar Ndaru Ikhtiagung Girawan, Bayu Aji Hastuti, Hety Dwi Hijriah Fajar Muhammad Insan Ike Yunia Pasa Ikhtiagung, Ganjar Ndaru Ilham Aditya Pangestu Indonesia Isa Bahroni, Isa Jati, Unggul Satria Johanna, Anne Kristiningsih, Ari Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wanti Muhammad Nur Faiz Muhammad Ramadani Nafisa, Zahrun Nur Akhlis Sarihidaya Laksana Nur Akhlis Sarihidaya Laksana, Nur Akhlis Sarihidaya Nur Wahyu Rahadi Oman Somantri Perdana Wanti, Linda Prih Diantono Abda`u Purwaningrum, Santi Puspitasari, Lina Radhi Ariawan Rahmat Hidayat Rahmat Mulyadi Ramadani, Muhammad Ratih Hafsarah Maharrani Riyadi Purwanto Rostika Listyaningrum Roy Aries Permana Tarigan Santi Purwaningrum Sari, Laura Sarihidaya Laksana, Nur Akhlis Sarihidaya, Nur Akhlis Sri Kusumadewi Unggul Satria Jati Wanti, Linda Perdana Wittriansyah, Khoeruddin Wittriansyah, Khoerudin Zahrun Nafisa