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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Inotera JSiI (Jurnal Sistem Informasi) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Generation Journal JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) G-Tech : Jurnal Teknologi Terapan Jurnal Teknologi Informatika dan Komputer Reputasi: Jurnal Rekayasa Perangkat Lunak JUSTER: Jurnal Sains dan Terapan Jurnal Pengabdian Masyarakat Bhinneka Jurnal Pengabdian Masyarakat Bangsa Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat E-Amal: Jurnal Pengabdian Kepada Masyarakat Smatika Jurnal : STIKI Informatika Jurnal Journal of Education and ICT
Sari, Yayak Kartika
Universitas Bhinneka PGRI
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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ANALISIS SENTIMEN PADA TREN OPINI PUBLIK TERHADAP PROGRAM #MAKANBERGIZIGRATIS DI PLATFORM X MENGGUNAKAN JARINGAN LONG SHORT-TERM MEMORY (LSTM) Wahyuningsih, Veny Dwi; Sari, Yayak Kartika; Prasetya, Agung
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 01 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i01.2260

Abstract

The implementation of the Free Nutritious Meal Program (Makan Bergizi Gratis/MBG) as a strategic government initiative has generated diverse responses from the public, widely discussed on social media, particularly on the X (Twitter) platform. Differences in perceptions regarding the objectives, implementation, and impacts of the policy have encouraged intensive public discussions. However, the tendency of public sentiment toward this program has not been widely analyzed systematically using machine learning approaches based on contextual representations. Therefore, this study analyzes public sentiment toward the hashtag #MakanBergiziGratis using the Long Short-Term Memory (LSTM) method. A total of 5,516 Indonesian-language tweets were collected through a web scraping process within the period of January 1 to November 30, 2025. Sentiment labeling employed a lexicon-based approach to classify the data into three categories: positive, neutral, and negative. The analysis stages included text preprocessing, BERT tokenization and embedding, handling imbalanced data using the Synthetic Minority Over-sampling Technique (SMOTE), and sentiment classification using LSTM. The results reveal that neutral sentiment dominates with 60.80%, followed by positive sentiment at 34.34% and negative sentiment at 4.86%. The developed model achieved an accuracy of 82.50% with a weighted F1-score of 82.66%. Furthermore, evaluation using 5-fold cross-validation produced an average accuracy of 82.8%, indicating stable model performance and good generalization capability in identifying public opinion trends toward the MBG policy.
Analysis of Pieces in The Application of Extreme Programming (XP) Methods in Laravel-Based Website Development Luthfiana, Tias Hafidzotul; Iskandar, Joko; Sari, Yayak Kartika
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 11 No. 1 (2026)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v11i1.507

Abstract

This research focuses on developing a website that can facilitate students, lecturers, heads of study programs, and study program staff in accessing relevant and up-to-date information. The problem experienced by the Informatics Study Program is the unavailability of a functional and informative website to support academic needs in the Informatics Study Program. The method used in this research uses the Extreme Programming (XP) approach with the stages of planning, designing, coding, testing which involves data collection through interviews, observations, and literature studies. The results of the analysis using the PIECES (Performance, Information, Economy, Control, Efficiency, and Service) method show the need for a website that meets user needs and is responsive to requests. The results of website development using the extreme programming method show that the website built is able to increase efficiency and effectiveness in providing services on demand. The development was carried out through four iterations, each of which included system analysis, system creation, and system testing. In each iteration process, improvements and enhancements were made to the website in accordance with the needs identified in the testing process and feedback from users. This truly reflects that the website has successfully met user needs and is responsive.
Implementation of Integrated Virtual Counseling in a Laravel-Based E-Learning System Alifdyani, Nawang Rimarsha; Iskandar, Joko; Sari, Yayak Kartika
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3427

Abstract

The use of digital technology is one way to improve effectiveness, efficiency, and broaden service reach. One example of this technology is e-learning, which allows for flexible learning without the constraints of time and space. The development of information technology is not only having a national impact but is also a global phenomenon, driving digital transformation across various sectors, including education. The development of information technology encourages government institutions to transform educational and counseling services into digital platforms. BNN Kabupaten Tulungagung requires a system capable of integrating online learning with counseling services within a single integrated platform. This study aims to implement virtual counseling in a Laravel-based e-learning system using the Prototype method and to conduct functional testing using Black Box Testing. The Prototype method was applied through several stages including requirement communication, system design, prototype development, and iterative evaluation. The system developed includes pretest, learning materials, posttest, digital certificates with QR Code, an admin dashboard, and virtual counseling features that allow users to conduct online consultations with BNN officers, as well as an FAQ feature for additional information. The testing results indicate that the system functions according to the required specifications and can be used effectively by both users and administrators. The implementation of this system supports the digital implementation of the P4GN education program and provides a more accessible counseling service for the community at BNN Kabupaten Tulungagung.
Analysis of Acceptance of E-Learning Users of Universitas Bhinneka PGRI Using the UTAUT Method Renzy Praha Nandiva Renzy; Yayak Kartika Sari; Joko Iskandar
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Mei 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v7i1.12641

Abstract

The development of educational technology encourages the application of digital learning systems to support learning activities to take place more optimally and save time. Universitas Bhinneka PGRI has implemented the Learning Management System (LMS) as a means of supporting the digital learning system. A study of the level of user acceptance needs to be carried out to identify various influential factors so that they can be used for development according to developments based on the UTAUT method. This study aims to analyze the factors that affect LMS acceptance in users at Bhinneka PGRI Tulungagung University using the UTAUT method. This study uses a quantitative approach with a survey research type involving 95 users as a sample selected by purposive sampling technique. Data were collected through questionnaires with a likert scale of 1-5 and analyzed using the SEM-PLS method which included outer model test, inner model, and hypothesis test. This research resulted in LMS acceptance at UBHI which was quite good. This is shown by Performance Expectancy having a positive and significant influence on Behavioral Intention of 0.235. Effort Expectancy was 0.298, and Social Influence was 0.445. In addition, Behavioral Intention had a positive and significant effect on Use Behavior with a value of 0.673. Meanwhile, Facilitating Conditions had a positive but insignificant effect on Use Behavior with a coefficient value of 0.134. This study concludes that the use of LMS is influenced by the perception of benefits, ease of use, and social environmental support, compared to supporting facilities. This research contributes theoretically to the development of the UTAUT model and practically as an evaluation of improving the quality of LMS in universities. 
Mobile JKN User Experience and Quality in Karangtalun Using Heart Framework and Mars  Nurwiyati Prihandari; Yayak Kartika Sari; Joko Iskandar
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Mei 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v7i1.12642

Abstract

Transformasi digital melalui aplikasi Mobile JKN bertujuan untuk meningkatkan efisiensi layanan BPJS Kesehatan. Namun, penguna di Desa Karangtalun masih menghadapi berbagai kendala teknis dan kompleksitas antarmuka. Penelitian ini bertujuan untuk mengelaluasi pengalaman pengguna dan kualitas aplikasi Mobile JKN guna mengidentifikasi elemen yang memerlukan optimalisasi. Metode yang digunakan adalah HEART Framework dengan pendekatan Goals-Signals-Metrics (GSM) untuk mengukur aspek emosional dan perilaku pengguna, dan Mobile Application Rating Scale (MARS) untuk kualitas teknis secara objektif melalui nilai mean. Target keberhasilan pada dimensi HEART Framework ditetapkan sebesar 80% untuk setiap metrik utama. Hasil penelitian menunjukkan seluruh dimensi HEART Framework berhasil melampaui target dengan capaian tertinggi pada dimensi Engagement sebesar 86% dan terendah pada Adoption sebesar 81,4%. Sementara itu, hasil MARS menunjukkan kualitas aplikasi berada pada kategori sangat baik dengan total skor 4,253, di mana dimensi Functionality memperoleh nilai terendah sebesar 3,984. Temuan ini menjadi landasan strategis bagi BPJS Kesehatan dalam meningkatkan adopsi dan kepuasan layanan digital bagi masyarakat dengan tingkat literasi digital yang beragam.
Pemberdayaan Komunitas Konten Kreator Lokal melalui Optimalisasi Platform Afiliasi E-Commerce Titik Lina Widyaningsih; Yayak Kartika Sari; Imam Sukwatus Suja'i; Latifatus Sariroh; Hilmy Mufadhdhol Putra
Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/amalilmiah.v7i2.594

Abstract

Pengembangan ekonomi kreatif berbasis digital menjadi peluang strategis bagi masyarakat pedesaan untuk meningkatkan kemandirian ekonomi, namun masih banyak komunitas lokal yang belum memiliki keterampilan dan ekosistem pendukung yang memadai. Pengabdian ini bertujuan memberdayakan para pembuat konten lokal di Desa Karangrejo, Tulungagung, Indonesia dengan meningkatkan keterampilan mereka dalam pembuatan konten digital dan pemasaran afiliasi melalui Shopee Affiliate Program (SAP). Program dilaksanakan melalui pelatihan terstruktur, praktik produksi konten, dan pendampingan berbasis komunitas yang mengintegrasikan perencanaan konten, produksi video/siaran langsung, serta evaluasi karya peserta. Sebanyak 30 anggota TCC memperoleh bimbingan praktis dalam strategi unggahan ramah-algoritma, penulisan naskah promosi persuasif, dan teknik produksi video berbiaya rendah. Dua puluh tiga peserta melaporkan peningkatan pendapatan terukur dari SAP, beberapa di antaranya melampaui Rp1,5 juta per bulan, serta menunjukkan kepercayaan diri yang lebih tinggi dalam membangun personal branding dan keterlibatan digital publik. Program ini juga memperkuat praktik kolaboratif antar peserta yang mendorong terbentuknya Tulungagung Creators Hub sebagai wadah pembelajaran sejawat. Keberadaan komunitas ini berpotensi menjadi infrastruktur sosial-ekonomi jangka panjang yang mendukung pertumbuhan ekonomi kreatif desa secara berkelanjutan. Temuan ini menegaskan bahwa pelatihan berbasis komunitas dengan pemantauan terstruktur dapat menjadi model efektif bagi kewirausahaan digital pedesaan sekaligus katalis ketahanan ekonomi lokal.
Penerapan Metode Naive Bayes Dalam Analisis Sentimen Terhadap Cyberbullying Yayak Kartika Sari; Joko Iskandar; Agung Prasetya
JUSTER : Jurnal Sains dan Terapan Vol. 5 No. 1 (2026): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/juster.v5i1.2556

Abstract

Kasus bullying menjadi topik yang sangat ramai dibicarakan tidak hanya pada lingkup daerah tetapi kasus ini menjadi topik yang ramai di lingkup Nasional maupun Internasional. Seiring dengan perkembangan teknologi, kasus bullying ini tidak hanya terjadi secara langsung tetapi melalui media sosial. Pelaku bullying dapat dengan mudah menyebarkan foto, video, maupun tulisan yang dapat menyinggung korban. Dampak yang terjadi pada korban cyberbullying tidak hanya menyakiti perasaan, namun juga kondisi psikologis yang dapat menyebabkan depresi, sedih, frustasi, hingga bunuh diri. Kasus cyberbullying ini banyak mendapatkan respon dari masyarakat melalui media sosial terutama pada aplikasi X. Penulis bertujuan untuk melakukan analisis sentimen yang digunakan untuk menganalisis emosi dari suatu teks dalam Bahasa Indonesia apakah teks tersebut termasuk dalam kategori positif atau negatif, dalam hal ini sentimen analisis digunakan untuk menemukan pola-pola cyberbullying di aplikasi X agar dapat lebih tepat dan cepat dalam mendeteksi bullying secara otomatis dengan menggunakan metode Naïve Bayes dengan jumlah data_set sebesar 2292 dari rentang Bulan Agustus 2024 – Agustus 2025. Metode Naive Bayes yaitu memprediksi probabilitas, tetapi klasifikasi statistik yang dikenal sebagai klasifikasi Bayes dapat memprediksi nilai probabilitas. Hasil dari evaluasi sentiment Analisa menunjukkan bahwa accuracy sebesar 96,0%, precision 84%, dan recall 77%.
Co-Authors Agung Prasetya Agung Prasetya Agung Prasetya Agung Prasetya Ahmad Fathurrohim Alifdyani, Nawang Rimarsha Amartya Bambang Kusuma Amartya Bambang Kusuma Ananda Dicky Adinata Ansor, Mohamad Khoirul Anwar, Ndaru Syaiful Dani Irwansyah edy susanto Fahrur Rozi Farid Sukmana, Farid Ferry Wahyu Wibowo Hilmy Mufadhdhol Putra Imam Sukwatus Suja'i Iskandar, Joko Joko Iskandar Kusrini Kusuma, Amartya Bambang Latifatus Sariroh Luthfiana, Tias Hafidzotul Meyliana Wafaul Ummah Muhyiddin, Sulthon Nurwiyati Prihandari Oktaviana Dyah Palupi Renzy Praha Nandiva Renzy Rozi, Fahrur Taufiq Agung Cahyono Titik Lina Widyaningsih Wahyuningsih, Veny Dwi Widiyanto, Wahyu Wijaya