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All Journal INFORMAL: Informatics Journal Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Kontribusia : Research Dissemination for Community Development Jurnal Computer Science and Information Technology (CoSciTech) Journal of Community Development Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Pengabdian Literasi Digital Indonesia MIMBAR INTEGRITAS National Multidisciplinary Sciences Jurnal Pengabdian Inovasi Masyarakat Indonesia Jurnal Aplikasi Sistem Informasi dan Elektronika Journal Of Humanities Community Empowerment Jurnal Penelitian Teknologi Informasi dan Sains Journal of Digital Literacy and Volunteering Router : Jurnal Teknik Informatika dan Terapan Jurnal Pengabdian Masyarakat Manage ABDIMASTEK Journal of Digital Literacy and Volunteering Router : Jurnal Teknik Informatika dan Terapan Jurnal Komputer, Informasi dan Teknologi
Ulya Anisatur Rosyidah
Universitas Muhammadiyah Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Other

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Analisis Sentimen Kebijakan Pemberlakuan Cukai pada Minuman Berpemanis dalam Kemasan Menggunakan Metode Multinomial Naive Bayes Firdaus, Muhammad; Rosyidah, Ulya Anisatur; Handayani, Luluk
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.704

Abstract

Sugar consumption in Indonesia remains high, with diabetes affecting 20.4 million people. This condition has prompted the government to introduce an excise policy on Minuman Berpemanis Dalam Kemasan (MBDK) to reduce sugar intake. Social media, particularly the X platform, serves as a medium for the public to express their opinions regarding this policy. This study aims to analyze public sentiment toward the MBDK excise policy using a lexicon-based approach for data labeling and the Multinomial Naive Bayes algorithm with unigram and bigram feature extraction. The initial results show that the highest performance was achieved using 5-Fold Cross Validation, with an average accuracy of 83%, precision of 84%, recall of 75%, and an F1-Score of 77%. After applying data balancing using Stratified Cross Validation combined with Borderline-SMOTE and limiting the features to the 700 most frequent terms, the model’s performance improved. The best results were obtained with 10-Fold Cross Validation, achieving 86% accuracy, 84% precision, 83% recall, and an F1-Score of 83%. These findings indicate that the Multinomial Naive Bayes model can effectively classify public sentiment regarding the MBDK excise policy after the data balancing process.
Analisis Sentimen Kebijakan Pemberlakuan Cukai pada Minuman Berpemanis dalam Kemasan Menggunakan Metode Multinomial Naive Bayes Firdaus, Muhammad; Rosyidah, Ulya Anisatur; Handayani, Luluk
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.704

Abstract

Sugar consumption in Indonesia remains high, with diabetes affecting 20.4 million people. This condition has prompted the government to introduce an excise policy on Minuman Berpemanis Dalam Kemasan (MBDK) to reduce sugar intake. Social media, particularly the X platform, serves as a medium for the public to express their opinions regarding this policy. This study aims to analyze public sentiment toward the MBDK excise policy using a lexicon-based approach for data labeling and the Multinomial Naive Bayes algorithm with unigram and bigram feature extraction. The initial results show that the highest performance was achieved using 5-Fold Cross Validation, with an average accuracy of 83%, precision of 84%, recall of 75%, and an F1-Score of 77%. After applying data balancing using Stratified Cross Validation combined with Borderline-SMOTE and limiting the features to the 700 most frequent terms, the model’s performance improved. The best results were obtained with 10-Fold Cross Validation, achieving 86% accuracy, 84% precision, 83% recall, and an F1-Score of 83%. These findings indicate that the Multinomial Naive Bayes model can effectively classify public sentiment regarding the MBDK excise policy after the data balancing process.
Perancangan Decision Support System Berbasis Web Untuk Peramalan Harga Cabai Menggunakan Metode Triple Exponential Smoothing Muhammad Fikri Atoillah; Ulya Anisatur Rosyidah; Luluk Handayani
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 2 (2025): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i2.3113

Abstract

Price fluctuations of chili remain a major challenge for micro-enterprises in Indonesia, driven by seasonal patterns, weather variability, and supply distribution issues. Such uncertainty complicates pricing strategies and increases the risk of losses. This study aims to design a web-based Decision Support System (DSS) for forecasting red bird’s eye chili prices using the Triple Exponential Smoothing (TES) method. The dataset comprises daily chili price records from February 20, 2024, to February 20, 2025, collected from a local trading business in Bondowoso. The system was developed using PHP, MySQL, and XAMPP, and is equipped with table and chart visualizations to enhance interpretation. Forecast accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). The results indicate an error rate of 4.90% or an accuracy level of 95.10%, which is classified as highly accurate. These findings confirm that TES is effective in capturing trend and seasonal patterns in chili price data. In conclusion, the integration of TES into a web-based DSS demonstrates strong potential in generating precise, adaptive, and user-friendly forecasts. The system can serve as a strategic tool for micro, small, and medium enterprises (MSMEs) to minimize risks from market volatility and support data-driven decision-making in price management.
Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 1 (2026): : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i1.3733

Abstract

The distribution of social assistance represents a key government strategy to enhance the welfare of low-income communities. Nevertheless, its implementation frequently faces challenges related to inaccurate targeting, often caused by uneven data collection and subjective decision-making processes in identifying eligible beneficiaries. This study aims to compare the performance of the K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in determining eligibility for social assistance recipients in Banyuputih Kidul Village. Both models were evaluated using a confusion matrix with performance indicators including accuracy, precision, recall, and F1-score. The findings reveal that the KNN algorithm outperformed Naïve Bayes in identifying recipients of the PKH social assistance program, achieving an evaluation score of 99%, compared to 86% for Naïve Bayes. These results indicate that KNN provides higher predictive reliability for eligibility classification. This research is expected to support the development of an objective, data-driven decision support system that can assist village governments in distributing social assistance more accurately and transparently.
Pelatihan Implementasi Sistem Monitoring Laporan Keuangan Study Kasus Dinas Koperasi Kabupaten Jember Taufiq Timur Warisaji; Ulya Anisatur Rosyidah
Journal of Community Development Vol. 3 No. 2 (2022): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v3i2.80

Abstract

Development of the Village Creative Economy Industry Based on Local Wisdom and Entrepreneurship is one of the flagship programs to be achieved from this service. The creative economy is an evolution of concepts based on creative assets that can generate economic growth and development. Minister of Cooperatives and UKM, Teten Masduki revealed that the creative economy community (Ekraf) is most likely in the national economy. In order to increase their productivity, the Ministry of Cooperatives and UKM, encourages the creative economy community to consolidate into a format. The Department of Cooperatives and Micro Enterprises of Jember Regency in running one of the services encountered several obstacles, namely there were still many cooperatives that had not reported financial reports and RATs in accordance with standards. Financial Information System training and development is one of the efforts made to resolve these obstacles. This Financial Information System will be used by the Department of Cooperatives to carry out Monitoring and Evaluation of the implementation of the Financial Reports and RATs of each of the cooperatives under its guidance. The end result of this service is in the form of a Financial System Training Module that can be used to facilitate cooperatives in carrying out financial reporting in accordance with established standards.
Pelatihan Digital Marketing dan Optimasi Media Sosial Untuk Meningkatkan Visibilitas UMKM Ulya Anisatur Rosyidah; Taufiq Timur Warisaji
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.v5i2.240

Abstract

This community service activity is a collaboration between the Information Systems Study Program at Muhammadiyah University of Jember and RTIK Jember with the Sekar Kartini Jember Women's Consumer Cooperative. From the data collection carried out, it was found that many cooperative members who were MSMEs experienced marketing problems and lacked updates on digital technology. This training aims to provide training in the field of digital marketing and social media optimization to Micro, Small and Medium Enterprises (MSMEs). The main goal is to increase the visibility and competitiveness of local MSMEs in the rapidly growing digital market. The methods used in this activity include providing practical and interactive training which covers basic digital marketing concepts, social media optimization techniques, use of digital marketing tools, and online marketing strategies using effective microsites. The final result of this activity is an increase in participants' understanding and practical skills in utilizing digital platforms to promote their MSME products or services. From initial observations, only around 10% of participants knew about Digital Marketing, so at the end of the activity it increased to 90% of participants who understood the importance of Digital Marketing. In this way, it is hoped that local MSMEs can expand their market reach, increase sales and strengthen their brand awareness among local and international consumers. Apart from that, this activity is also expected to build networks and collaboration between local MSMEs, industrial players, and educational or research institutions to support local economic growth through the use of digital technology. With good collaboration, it is hoped that an ecosystem will be created that supports the growth and sustainability of MSMEs in the current digital era
Pengukuran dan Analisis Capability Level Tata Kelola IT di Laboratorium Teknik Informatika Menggunakan COBIT 5 Ulya Anisatur Rosyidah; Lintang Setyo Kurniawati
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 1 (2026): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i1.188

Abstract

This study aims to analyze the capability level of Information Technology (IT) governance at the Informatics Engineering Laboratory of Universitas Muhammadiyah Jember using the COBIT 5 framework, considering the increasing volume of data, growing dependence on IT, and the rising risk of cyber threats that may lead to unauthorized access, data loss, and low operational efficiency if IT governance is not properly implemented. The research methodology includes a literature review, in-depth interviews, questionnaire distribution, and direct observation of laboratory activities. The analysis results indicate that most IT governance processes are at Level 2 (Managed), meaning that the processes are documented and systematically managed but not yet fully standardized or optimized. Several critical areas, particularly information security management, still exhibit weaknesses and require special attention. Through the implementation of COBIT 5, the laboratory can assess the alignment of its IT governance processes with best practices and identify areas that require improvement. Therefore, this study recommends the development of standard operating procedures (SOPs), the implementation of regular training for laboratory staff, and the strengthening of routine monitoring and evaluation mechanisms to enhance the effectiveness and maturity of IT governance on a sustainable basis.
Model Kewirausahaan Pemanfaatan  Limbah Ikan Lele menjadi Olahan Pangan berbasis Zero Waste Upaya Pencegahan Kasus Stunting di Kabupaten Jember Ilanka Cahya Dewi; Rusdiana Setyaningtyas; Nely Ana Mufarida; Ulya Anisatur Rosyidah
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 5 No. 1 (2026): Edisi Februari
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpimi.v5i1.9246

Abstract

Kabupaten Jember masih menghadapi permasalahan stunting dengan prevalensi sebesar 34,9% yang salah satu penyebab utamanya adalah rendahnya asupan protein hewani dan kalsium pada balita. Di sisi lain, MBS Darul Falah di Desa Cakru memiliki unit budidaya dan produksi fillet lele frozen yang menghasilkan limbah ikan hingga 60–70% dari berat total, berupa kulit, tulang, duri, dan kepala ikan. Limbah tersebut belum dimanfaatkan secara optimal, padahal bagian-bagian ikan lele memiliki kandungan protein dan kalsium yang tinggi serta berpotensi diolah menjadi pangan bergizi. Kondisi ini menunjukkan pentingnya inovasi pemanfaatan limbah lele berbasis zero waste yang bernilai ekonomi sekaligus mendukung pencegahan stunting. Kegiatan ini bertujuan mengembangkan model kewirausahaan zero waste berbasis limbah lele, meningkatkan kapasitas santri dan mitra budidaya dalam pengolahan limbah menjadi produk pangan bergizi, serta menghasilkan inovasi produk tinggi protein dan kalsium untuk mendukung pemenuhan gizi balita. Metode pelaksanaan meliputi pelatihan teknis pengolahan limbah lele menjadi produk seperti tepung tulang, kerupuk kulit, dan abon kepala lele, pendampingan kewirausahaan, penerapan SOP produksi higienis, serta uji kandungan gizi dasar. Hasil kegiatan menunjukkan peningkatan keterampilan mitra dan dihasilkannya produk pangan bernilai gizi dan ekonomi. Simpulannya, pemanfaatan limbah lele berbasis zero waste berpotensi menjadi solusi berkelanjutan untuk pemberdayaan ekonomi pesantren sekaligus mendukung upaya pencegahan stunting.
Co-Authors Afrian Piesca Firmanda Alif Faiz Risqullah Andriansyah, Moh. Eka Ari Eko Wardoyo Asror, Moh. Miftahul Bakti, Budi Satria Baktiawan Nusanto, Baktiawan Daryanto Daryanto Dermawan, Ichwan Dimas Arya Maulana Fitriyah, Nur Qodariyah Ginanjar Abdurrahman Habibatul Azizah Al Faruq Heni Pujiastuti Hidayani, Nur Ilanka Cahya Dewi Lintang Setyo Kurniawati Luluk Handayani M. Yogi Riyantama Isjoni Mochammad Imron Awalludin Moh. Dasuki Mufarida, Nely Ana Muhammad Fikri Atoillah Muhammad Firdaus Muhammad Firdausi Munawaroh, Sulistyowati Oktavianto, Hardian Ramadhani, Raditya Fajar Robbol Hidayatullah Rusdiana Setyaningtyas Taufiq Timur Warisaji Thoriq Wahyu Hidayatullah Warisaji, Taufiq Timur Widiyanto, Alfian Wijaya, Guruh Yanuarti, Rosita Zahro, Ira Halimatuz Zakiyyah, Amalina Maryam