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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Journal of Information Systems Engineering and Business Intelligence JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Building of Informatics, Technology and Science Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal E-Komtek JIKA (Jurnal Informatika) Jurnal Teknik Informatika (JUTIF) Teknika Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal Informatika Jurnal Masyarakat Madani Indonesia eProceedings of Engineering Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma Transaction on Informatics and Data Science KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Yohani Setiya Rafika Nur
Telkom University
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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Classification of Cavendish Banana Quality using Convolutional Neural Network Suryani, Ajeng Ayu; Athiyah, Ummi; Nur, Yohani Setiya Rafika; Warto
Transactions on Informatics and Data Science Vol. 1 No. 1 (2024)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v1i1.12191

Abstract

Indonesia's agricultural production is divided into two main categories: vegetables and fruits. The vegetable category includes shallots, garlic, chilies, mushrooms, spinach, cabbage, and potatoes. One of the fruit commodities from the fruit horticulture subsector is bananas, which are divided into several types, including ambon, plantains, Cavendish, pipit, and horn bananas. One of the bananas that has a good selling value in Indonesia is the Cavendish banana, but the selling value of the Cavendish banana is determined by the quality of the banana fruit. A classification process is necessary to find out the quality of bananas. We perform classification using one of the deep learning algorithms, namely Convolutional Neural Network. The experiment uses 1047 images, divided into 65% training data, 15% validation data, and 20% testing data by using epochs 20 times with 16 batch sizes, the accurate results obtained are 99%. The results indicate the effectiveness of the confusion matrix in identifying training data and detecting images. It can be concluded that using more training data leads to higher accuracy, as fewer image reading errors occur when fewer images are processed. This classification is expected to be able to classify bananas with good quality like the real condition.
EXPERT SYSTEM WITH DEMPSTER-SHAFER METHOD FOR EARLY IDENTIFICATION OF DISEASES DUE TO COMPLICATIONS SYSTEMIC INFLAMMATORY RESPONSE SYNDROME Wido Paramadini, Adanti; Dasril Aldo; Yoka Fathoni, M.; Yohani Setiya Rafika Nur; Dading Qolbu Adi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2021

Abstract

Systemic Inflammatory Response Syndrome (SIRS) is a generalized inflammatory condition, triggered by various factors such as infection or trauma, which can lead to serious complications if not treated quickly. This condition is characterized by symptoms such as fever or hypothermia, tachycardia, tachypnea, and changes in white blood cell count. Complications that can arise from SIRS include Acute Respiratory Distress Syndrome (ARDS), which results in fluid in the alveoli and requires mechanical ventilation; acute encephalopathy, which leads to brain dysfunction; Asidosis Metabolik, indicating liver damage; hemolysis, which results in the breakdown of red blood cells; and Deep Vein Thrombosis (DVT), which is at risk of causing pulmonary embolism. To overcome this diagnostic challenge, this study implements the Dempster-Shafer method in an expert system, where it allows the aggregation and combination of various sources of evidence to produce degrees of belief and degrees of plausibility for each diagnostic hypothesis. By accounting for uncertainties and contradictions in the data, the system improves diagnostic accuracy through dynamically weighting and updating beliefs based on available evidence. This process allows early and accurate identification of SIRS complications, supporting appropriate medical intervention. System evaluation showed diagnostic accuracy of 93%, confirming the potential of expert systems in supporting rapid and precise clinical decision-making in managing SIRS complications.
Sistem Pakar Diagnosis Penyakit Pada Ikan Bawal Bintang dengan Pendekatan Naive bayes Aldo, Dasril; Nur, Yohani Setiya Rafika; Fathoni, M. Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4750

Abstract

 The star pomfret is a type of cultivated fish that has high economic prospects. The focus of the main problem in this study is the disease that attacks the star pomfret fish commodity. If this is allowed to continue, it will cause crop failure and cause the fishermen to lose money. Through this research, an expert system is one solution that can overcome these problems. The expert system built will apply the Naive Bayes method with the stages of entering the dataset into the database which will be used as training data, then the user inputs testing data to be processed into the Bayes method, in the final result the probability value of each disease will be displayed which will then be given recommendations on how to control it disease. From the symptoms selected by the user, namely: white or pale spots on the surface of the body, bleeding on the surface of the body, protruding eyes, the fish looks difficult to breathe, mucus production increases until the body runs out of mucus / roughness, fish lose their appetite, slow movement and slow growth get disease results Cryptocaryon with a value of 93.4. The results of tests carried out on 17 data obtained an accuracy value of 94% so that the expert system is suitable for use as a tool for diagnosing disease in pomfret
Peningkatan Literasi dan Kepedulian Lingkungan Anak melalui Program Penukaran Sampah dengan Buku dan Mainan Edukasi di Desa Muntang Aldo, Dasril; Firmansyah, Muhammad Raafi'u; Pratiwi, Evia Zunita Dwi; Nur, Yohani Setiya Rafika; Kurniawan, Angga; Putra, Affriza Brilyan Relo Pambudi Agus
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/e1jfeb45

Abstract

Rendahnya literasi dan kepedulian lingkungan pada anak-anak di wilayah pedesaan masih menjadi permasalahan utama, termasuk di Desa Muntang, Kabupaten Purbalingga. Kurangnya akses terhadap bahan ajar interaktif dan minimnya kebiasaan memilah sampah menyebabkan anak-anak belum memiliki perilaku ramah lingkungan yang konsisten. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi dan kesadaran lingkungan anak usia 4–6 tahun melalui program penukaran sampah dengan buku dan mainan edukatif. Program dilaksanakan oleh dosen dan mahasiswa Universitas Telkom Purwokerto bekerja sama dengan Komunitas Limbah Pustaka menggunakan pendekatan pembelajaran berbasis pengalaman (learning by playing) dan sistem penghargaan (reward-based learning). Sebanyak 35 anak mengikuti kegiatan yang mencakup sesi dongeng interaktif, penukaran sampah anorganik seperti plastik dan kertas dengan buku bergambar, serta permainan edukatif bertema lingkungan. Hasil kegiatan menunjukkan 88,6% anak fokus mendengarkan cerita, 85,7% mampu memilah sampah dengan benar, dan 94,3% aktif dalam permainan edukatif. Anak-anak menunjukkan peningkatan antusiasme dan pemahaman terhadap kebersihan lingkungan. Program ini terbukti efektif menumbuhkan perilaku pro-lingkungan sejak dini dan berkelanjutan melalui pembentukan Pojok Literasi Hijau di Desa Muntang.
Inovasi Penetas Telur Cerdas Berbasis IoT sebagai Strategi Pemberdayaan dan Kemandirian Ekonomi Perempuan di Desa Muntang Aldo, Dasril; Nur, Yohani Setiya Rafika; Kurniawati, Ajeng Dyah; Hidayat, Afifah Naurah; Syahputra, Dio; Fathan, Faizal Burhani Ulil; Maulana, ⁠Ihsan; Adriano, Riftian Dimas
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/a95a4s30

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemandirian ekonomi perempuan di Desa Muntang, Kecamatan Kemangkon, Kabupaten Purbalingga, melalui penerapan inovasi penetas telur cerdas berbasis Internet of Things (IoT). Permasalahan utama mitra adalah proses penetasan ayam kampung yang masih manual, kurang efisien, serta rendahnya keterlibatan perempuan dalam usaha produktif. Kolaborasi dilakukan antara Komunitas Limbah Pustaka sebagai fasilitator sosial, kelompok Petet Ayam Lestari sebagai mitra teknis, dan warga desa sebagai peserta utama. Kegiatan mencakup sosialisasi, pelatihan teknis dan manajemen usaha, implementasi alat di lapangan, serta evaluasi melalui observasi dan kuesioner. Hasil menunjukkan peningkatan signifikan pada pemahaman peserta terhadap teknologi dan peluang ekonomi desa. Rata-rata tingkat pemahaman meningkat dari 46% menjadi 91%, sedangkan tingkat kepuasan terhadap kegiatan mencapai skor 3,69 dari skala 4,0 (kategori sangat baik). Program ini menghasilkan alat penetas telur cerdas yang mudah digunakan dan sesuai dengan kebutuhan masyarakat pedesaan. Kesimpulannya, penerapan teknologi tepat guna berbasis IoT terbukti efektif dalam mendorong pemberdayaan perempuan, peningkatan literasi teknologi, serta penguatan ekonomi lokal yang berkelanjutan.
Optimalisasi Pengelolaan Sampah Plastik Serta Pemberdayaan Masyarakat Dalam Peningkatan Ekonomi Warga Dusun Semingkir Purwokerto Bachrul Restu Bagja; Luqman Wahyudi; Yanuar Ikhsan Pamuji; Yohani Setiya Rafika Nur
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 3 No. 4 (2023): Desember : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v3i4.2454

Abstract

Covid-19 has left many traces on the Indonesian people, the sorrow of losing family, friends and relatives, as well as the consumer behavior of society. Behavior during the pandemic then becomes a new habit for society, where purchases of goods, food or drinks online continue to be made. This has an impact on the increasing amount of household waste, there is a buildup of waste, especially plastic-based waste. Plastic waste is a type of waste that poses a serious threat to the environment because it is not easily decomposed by nature. Destruction of plastic waste through burning also creates new problems in the form of air pollution which increases the risk of cancer. Public awareness of the negative impacts of plastic waste is increasing in big cities and in regions, such as Banyumas Regency, one of which is encouraged by the existence of a non-governmental group that is engaged in utilizing waste, namely the Inyong Waste Bank. Conventional methods in processing waste, product distribution patterns and management that are not optimal have caused the public's interest in getting involved in the Inyong Waste Bank to decrease because the economic value has decreased drastically. There are solutions in the form of increasing capabilities in processing waste using alternative methods, public interest in managing the Inyong Waste Bank, as well as arranging new distribution patterns so that they can increase the economic value of products resulting from periodic training activities with outputs in the form of websites, logo designing and product innovation and promotion training.
Co-Authors Adanti Wido Paramadini Ade Prasetyo, Ade Adriano, Riftian Dimas Affriza Brilyan Relo Pambudi Agus Putra Afifatul Fajri, Nabila Ajeng Dyah Kurniawati Al Faiz, M. Hanif Alfonsus Simbolon Alika, Shintia Dwi Amalia Beladinna Arifa Aminatus Sa’adah Andre Citro Febriliyan Lanyak Angga Kurniawan Audrey Hillary Auliya Burhanuddin Azmi, Wifqi Wifakul Bachrul Restu Bagja Bidayatul Masulah Bita Parga Zen Christantie Effendy Christian Tambunan, Gerry Claudio Felle, Roland Dading Qolbu Adi Dasril Aldo Dedi Rahman Habibie Edelin Gultom Endraswari, Putri Mentari Eryan Ahmad Firdaus Evia Zunita Dwi Pratiwi Faisal Dharma Adhinata Faiz, M. Hanif Al Fathan, Faizal Burhani Ulil Fau, Andrew Filfimo Yulfiz Ahsanul Hulqi Firmansyah, Muhammad Raafi'u Gusla Nengsih, Yeyi Gusnita Linda Hidayat, Afifah Naurah J. Manurung, Barnes Lina Fatimah Lishobrina Luqman Wahyudi M Yoka Fathoni Maulana, Ihsan Maulana, ⁠Ihsan Melinda Br Ginting Miftahul Ilmi Muadin, Dika Alim Muhamad Azrino Gustalika Nadia Ayu Isroh Nia Annisa Ferani Tanjung Nur Ghaniaviyanto Ramadhan Nurhaeka Tou Pamuji, Yanuar Ikhsan Paradise Ramadhani, Rima Dias Rania Nur Hikmah Ridho Rahmadi Sa'adah, Aminatus Sahara Sahara Sapta Eka Putra Sulaeman, Gilang Suprapto, Amelia Rut Suryani, Ajeng Ayu Syahputra, Dio Trihastuti Yuniati Ummi Athiyah Usman, Muhammad Lulu Latif Utami, Annisaa Wahyu Adi Prabowo Wanda Ilham Warto Widya Lelisa Army Yasin, Feri Yehezekiel Ramasyah Putra Haloho Yoka Fathoni, M. Yuan Sa'adati Zahirah, Regina Putri Wanda