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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) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Teknika JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Informatika Jurnal Masyarakat Madani Indonesia eProceedings of Engineering Jurnal Informatika: Jurnal Pengembangan IT Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma Transaction on Informatics and Data Science Jurnal Teknokes KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Yohani Setiya Rafika Nur
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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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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
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.
Peningkatan Literasi dan Kepedulian Lingkungan Anak melalui Program Penukaran Sampah dengan Buku dan Mainan Edukasi di Desa Muntang Dasril Aldo; Muhammad Raafi'u Firmansyah; Evia Zunita Dwi Pratiwi; Yohani Setiya Rafika Nur; Angga Kurniawan; Affriza Brilyan Relo Pambudi Agus Putra
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.
Analisis Sentimen Vtuber Hololive Indonesia Sebagai Tren Hiburan Digital Menggunakan Naïve Bayes Dan Support Vektor Machine Rianto Putra, Frederick; Paradise; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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Abstract

Virtual YouTuber (VTuber) telah menjadi industri hiburan digital dengan signifikansi budaya dan ekonomi yang kuat, salah satunya diwakili oleh Hololive Indonesia (HoloID). Namun, dibalik pertumbuhan pesat dan interaksi penggemar yang masif, seringkali muncul polarisasi opini publik yang tajam, sehingga pemahaman yang terukur mengenai sentimen audiens menjadi krusial bagi manajemen citra dan strategi konten. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap HoloID di media sosial (YouTube dan Twitter) serta mengevaluasi dan membandingkan performa algoritma Naïve Bayes dan SupportVector Machine (SVM) dalam tugas klasifikasi tersebut. Data diperoleh melalui crawling dan scraping, diikuti pre-processinguntuk pembersihan dan penyesuaian data. Proses labeling dilakukan semi-otomatis menggunakan SenticNet, mengklasifikasikan sentimen menjadi positif dan negatif. Sentimen netral dihilangkan dari dataset akhir untukmemfokuskan analisis pada dua kutub opini utama. Dataset dibagi 80% untuk data latih dan 20% untuk data uji, sertadievaluasi dengan 10-fold cross-validation. Hasil evaluasi menunjukkan akurasi model Naïve Bayes tanpa SMOTEadalah 0.8022, dan dengan SMOTE 0.7997. Sementara itu, akurasi model SVM tanpa SMOTE mencapai 0.8980, dandengan SMOTE 0.8926. Rata-rata 10-fold cross-validation menunjukkan akurasi tertinggi pada SVM tanpa SMOTE(0.9040), menjadikannya model terbaik dalam penelitian ini. Kata kunci— Analisis Sentimen, Naïve Bayes, Support Vektor Machine
Pengembangan Website Layanan Tugas Akhir Telkom University Menggunakan Metode Rapid Application Development (RAD) Deni Romadan, Muhamad; Dwi Putro Wicaksono, Aditya; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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Abstract

Layanan propsal tugas akhir di Telkom University Purwokerto sebelumnya menghadapi kendala inefisiensi dan fragmentasi data akibat alur kerja yang belum terintegrasi dan ketergantungan pada platform eksternal. Penelitian ini bertujuan untuk mengembangkan sebuah website layanan propsal tugas akhir terpusat yang bernama (Sistem Informasi Proposal Tugas Akhir) untuk mengatasi permasalahan tersebut. Pengembangan sistem menggunakan metode RapidApplication Development yang difasilitasi oleh kerangka kerja PHP Laravel untuk membangun sebuah platformyang modern, profesional, dan mengintegrasikan seluruh alur kerja tugas akhir bagi mahasiswa, dosen, dan admin.Proses validasi sistem dilakukan melalui dua metode pengujian. Pengujian fungsional dengan metode blackbox testing menunjukkan tingkat keberhasilan sistem sebesar 98,68%. Sementara itu, pengujian usabilitas yang melibatkan 25 pengguna dengan metode System Usability Scale (SUS) menghasilkan skor akhir 89,9, yang termasuk dalam kategori "Sangat Baik" (Excellent). Hasil penelitian menunjukkan bahwa sistem sistem informasi layanan proposal tugas akhir yangdikembangkan berhasil menjadi solusi yang tangguh secara fungsional, mudah digunakan, serta mampumentransformasi proses layanan proposal tugas akhir menjadi lebih efisien, terstruktur, dan terintegrasi. Kata kunci— Sistem Informasi Akademik, TugasAkhir, Rapid Application Development, Laravel, SystemUsability Scale (SUS), Blackbox Testing, ManajemenProses Akademik.
Rancang Bangun Sistem Inventori Berbasis Desktop Dengan Menggunakan Metode Rapid Application Development (Studi Kasus: Pt. Karya Prima Multiguna) Hasan, Faiz; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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Abstract

PT. Karya Prima Multiguna adalah sebuahperusahaan yang beroperasi di sektor industri danmenyediakan layanan seperti Machining, Bubut, Milling,Surface Grinding, Cylindrical Grinding, Precision Part, Jig danFixture, Dies, Mould, serta Fabrication. Karyawan PT KaryaPrima Multiguna menghadapi kesulitan dalam pengelolaangudang perusahaan yang masih menggunakan metode manual,contohnya Microsoft Excel, khususnya dalam pengolahan datastok barang. Oleh sebab itu, kualitas manajemen gudang harusdiperbaiki dengan menerapkan sistem inventori berbentukaplikasi desktop, yang merupakan upaya untuk mendukungefisiensi operasional dalam pengelolaan data. Sistem inventoridibangun menggunakan metode Rapid ApplicationDevelopment, karena metode ini memungkinkan pembuatansistem secara cepat dan efisien, sesuai dengan kebutuhan PTKarya Prima Multiguna. Proses pengembangan mencakuptahap perencanaan kebutuhan, desain sistem yang melibatkanpembuatan prototipe, pengujian, penyempurnaan,pengembangan, hingga implementasi. Penelitian ini bertujuanmengembangkan sistem inventori berbasis desktop untukmeningkatkan efisiensi operasional perusahaan, dengan PT.Karya Prima Multiguna sebagai objek studi. Hasil uji cobadengan metode black box menunjukkan bahwa sistem berjalansesuai fungsi yang diharapkan dan setiap fitur beroperasisecara tepat.Kata kunci — Desktop, Manajemen Pergudangan, RapidApplication Development.I. PENDAHULUANPerkembangan teknologi informasi dalam dua dekadeterakhir telah memberikan pengaruh besar terhadap berbagaiaspek operasional perusahaan. Pemanfaatan sistem informasiberbasis database menjadi salah satu faktor utama dalammendukung pengolahan dan penyimpanan data secara cepat,tepat, dan terstruktur. Dalam konteks manajemen perusahaan,penerapan teknologi ini sangat relevan untuk meningkatkanefisiensi dan akurasi, khususnya pada bagian pengelolaanpersediaan barang atau inventori. Sistem inventori berperanpenting dalam memantau ketersediaan stok, mengatur arusbarang masuk dan keluar, serta memastikan kelancaranproses distribusi. Dengan dukungan sistem informasi yangtepat, pengelolaan inventori dapat dilakukan lebih efektifsehingga meminimalkan kesalahan manusia danmengoptimalkan kinerja operasional [1].Salah satu bentuk penerapan sistem informasi yangrelevan adalah sistem inventori berbasis desktop. Sistem inimemiliki karakteristik yang memungkinkan pengolahan datadilakukan secara lokal, tanpa memerlukan koneksi internet,sehingga dapat beroperasi secara independen dan tetapterjaga keamanannya. Keunggulan sistem berbasis desktopterletak pada kemampuannya untuk mengolah data secarareal-time, mengurangi risiko keterlambatan sinkronisasi,serta membatasi akses hanya kepada pengguna yangmemiliki otorisasi. Hal ini berbeda dengan sistem berbasisweb yang membutuhkan koneksi internet untuk dapatberoperasi dan terkadang rentan terhadap masalah jaringan.Dengan demikian, sistem inventori berbasis desktop menjadisolusi yang tepat untuk perusahaan yang menginginkanpengelolaan stok barang yang cepat, stabil, dan aman [2].PT. Karya Prima Multiguna merupakan perusahaan yangbergerak di bidang jasa machining, bubut, milling, surfacegrinding, cylindrical grinding, precision part, jig and fixture,dies, mould, dan fabrication, yang berlokasi di Cikarang.Sebagai salah satu perusahaan yang terus berkembang, PT.Karya Prima Multiguna memerlukan dukungan sisteminformasi yang handal dalam menjalankan aktivi
Implementation of Forward Chaining And Certainty Factor Methods for Android-Based Red Onion Diagnosis Ghozali, Imam; Athiyah, Ummi; Nur, Yohani Setiya Rafika
Journal of INISTA Vol 8 No 1 (2025): November 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1779

Abstract

Shallots are one of the crucial horticultural commodities in Indonesia, used in various social layers. Brebes is one of the main shallot producing regions with a significant increase in production. However, farmers often experience reduced yields due to disease attacks and lack of guidance from experts. This researcher aims to develop an Android-based expert system that applies the Certainty Factor and Forward Chaining methods to identify diseases in shallot plants. This system uses rules to identify onion disease symptoms and calculates the confidence level for each possible diagnosis. The Forward Chaining method helps identify symptoms sequentially, while the Certainty Factor calculates confidence in the possibility of disease. The research results show that this method is effective in providing an accurate diagnosis of onion diseases from the 5 diseases tested by the recommended system with a percentage value of 100%. In conclusion, the expert system created for diagnosing shallot plants using the Android-based forward chaining and certainty factor method was successfully built. Then, for Functionality Testing based on black box testing carried out by experts, the results were obtained with 100% accuracy, which means the system is in accordance with its functional requirements.
Implementasi Program BUNDACERDAS sebagai Multimedia Interaktif Edukasi Gizi Ibu Hamil dalam Upaya Pencegahan Stunting Dasril Aldo; Yohani Setiya Rafika Nur; Adanti Wido Paramadini; Muhammad Zaky Mubarok; Harald Riandi Rantetana Purukan; Muhammad Nazmi Al Faiz
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2026): January-April
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i1.2026

Abstract

The main problem faced by partner communities in Muntang Village is the low knowledge of pregnant women related to nutritional fulfillment during pregnancy and the strong influence of myths that are not based on science, which has the potential to increase the risk of stunting. This service activity aims to increase the knowledge and awareness of pregnant women, PKK mothers, and posyandu cadres through the use of interactive multimedia nutrition education. The solution offered is the development and implementation of the BUNDACERDAS application as a digital-based educational media that contains material about the First 1000 Days of Life, the nutritional needs of pregnant women, stunting prevention, and interactive quiz features. The method used is a participatory approach through the stages of observation, socialization, training, implementation, and evaluation. The results of the activity showed an increase in participants' knowledge by an average of 31 percent based on a comparison of pre-test and post-test in 50 participants. In addition, the participants' satisfaction level achieved an average score of 4.6 out of a scale of 5 which was included in the very satisfied category. Thus, this activity has proven to be effective in increasing community nutrition literacy and has the potential to be developed sustainably as a technology-based health education media.
Classification of Cavendish Banana Quality using Convolutional Neural Network Ajeng Ayu Suryani; Ummi Athiyah; Yohani Setiya Rafika Nur; Warto
Transactions on Informatics and Data Science Vol. 1 No. 1 (2024)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

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.
Pelatihan Pengolahan Es Krim Yogurt sebagai Upaya Peningkatan Daya Saing dan Diversifikasi Produk di UMKM Yogurt Sehati Faizah Faizah; Ajeng Dyah Kurniawati; Nurul Latifasari; Yohani Setiya Rafika Nur
JURPIKAT Vol 7 No 2 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i2.2875

Abstract

Yogurt Sehati, a local yogurt producer in Purwokerto, faces challenges in sustaining its business due to stagnant income and limited product variety. This community service program aimed to enhance competitiveness and encourage product diversification through a training program on yogurt ice cream processing, a value-added product derived from fermented milk. The activity was conducted using a Participatory Action Research (PAR) approach, including surveys, focus group discussions (FGDs), interviews, socialization, technical training, and evaluation. The partner in this program was UMKM Yogurt Sehati located in Purwonegoro Village, North Purwokerto District, Banyumas Regency, involving 15 participants including the owner, employees, and resellers. The training outcomes showed that 85% of participants found the materials easy to understand, and 90% successfully practiced yogurt ice cream production. Additionally, post-test results indicated increased understanding of the importance of product innovation for business sustainability. This program successfully improved the partner's skills, introduced a high-value alternative product, and opened opportunities to increase income through product diversification.
Co-Authors Adanti Wido Paramadini Adanti Wido Paramadini Ade Prasetyo, Ade Affriza Brilyan Relo Pambudi Agus Putra Afifah Naurah Hidayat Afifatul Fajri, Nabila Ajeng Ayu Suryani 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 Dedy Agung Prabowo Deni Romadan, Muhamad Dio Syahputra Dwi Putro Wicaksono, Aditya Edelin Gultom Endraswari, Putri Mentari Eryan Ahmad Firdaus Evia Zunita Dwi Pratiwi Faisal Dharma Adhinata Faiz, M. Hanif Al Faizah Faizah Faizal Burhani Ulil Fathan Fathan, Faizal Burhani Ulil Fau, Andrew Filfimo Yulfiz Ahsanul Hulqi Firmansyah, Muhammad Raafi'u Gusla Nengsih, Yeyi Gusnita Linda Harald Riandi Rantetana Purukan Hasan, Faiz Hidayat, Afifah Naurah Ichya Ulumiddiin Imam Ghozali J. Manurung, Barnes Joshua Putra Fesha Kristanto Lina Fatimah Lishobrina Luqman Wahyudi M Yoka Fathoni M. Hanif Al Faiz Maie Istighosah Maulana, Ihsan Melinda Br Ginting Miftahul Ilmi Muadin, Dika Alim Muhamad Azrino Gustalika Muhammad Nafal Fiqrian Muhammad Nazmi Al Faiz Muhammad Raafi'u Firmansyah Muhammad Zaky Mubarok Nadia Ayu Isroh Nadia Nabila Nia Annisa Ferani Tanjung Nur Ghaniaviyanto Ramadhan Nurhaeka Tou Nurul Latifasari Pamuji, Yanuar Ikhsan Paradise Rahmadani, Ragil Putri Ramadhani, Rima Dias Rania Nur Hikmah Rianto Putra, Frederick Ridho Rahmadi Riftian Dimas Adriano Sa'adah, Aminatus Sahara Sahara Sapta Eka Putra Sulaeman, Gilang Suprapto, Amelia Rut 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 ⁠Ihsan Maulana