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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) 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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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
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%.
Evaluasi Kinerja Model Machine Learning dalam Klasifikasi Penyakit THT: Studi Komparatif Naïve Bayes, SVM, dan Random Forest Prasetya, Nur Wachid Adi; Wanti, Linda Perdana; Purwanto, Riyadi; Bahroni, Isa; Listyaningrum, Rostika
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.
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 Agus Susanto Alif Iftitah Alif Iftitah Andesita Prihantara Andriansyah Zakaria Andriansyah Zakaria Annas Setiawan Prabowo Annisa Romadloni Awaludin, Ihza Dwi Krisbiantoro, Dwi Dwi Kumara, Dimas Maulana Dwi Novia Prasetyanti Dwi Novia Prasetyanti Eka Tripustikasari 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 Listyaningrum, Rostika Muhammad Nur Faiz Muhammad Ramadani Nafisa, Zahrun 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 Roy Aries Permana Tarigan Santi Purwaningrum Sari, Laura Sarihidaya Laksana, Nur Akhlis Sarihidaya, Nur Akhlis Sri Kusumadewi Wanti, Linda Perdana Wittriansyah, Khoeruddin Wittriansyah, Khoerudin Zahrun Nafisa