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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): Edisi Juli 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%.
Rancang Bangun Sistem IoT untuk Monitoring Ketinggian Air Sungai Menggunakan NodeMCU dan Sensor Ultrasonik HC-SR04 Terintegrasi Website Darel Trescanaya; Yayak Kartika Sari; Mohamad Khoirul Ansor
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5834

Abstract

This study aims to design and build an Internet of Things (IoT)-based river water level monitoring system using NodeMCU ESP8266 and HC-SR04 ultrasonic sensor integrated with a website in Semarum Village, Durenan District, Trenggalek Regency. The system was developed using the Rapid Application Development (RAD) method with the Laravel framework and MySQL database. Data collection techniques include observation, interviews, literature studies, experiments, and documentation. Data analysis was carried out through functional testing of the system using Black Box Testing, sensor accuracy analysis using Mean Absolute Percentage Error (MAPE), and analysis of WhatsApp notification response time. The results showed that the system was able to read the water level automatically every minute, display data in real-time via the website, and send WhatsApp notifications automatically when alert or danger status. The results of Black Box Testing showed that all system features functioned well. Accuracy testing produced a MAPE value of 1.027% with an average accuracy rate of 98.97%, while WhatsApp notification testing showed a 100% success rate with an average delay of around 50 seconds. This system is equipped with three water condition indicators (SAFE, ALERT, and DANGER) as well as multi-user management features which are an added value compared to previous research.
Peningkatan Kompetensi Profesional Guru melalui Pelatihan Prompting Generative AI di SMP Tahfidz Modern Lubabul Fattah Mohamad Khoirul Ansor; Yayak Kartika Sari; Mochammad Ilham Aldi Wahyudi
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 3 (2026): Agustus
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/x1t9xh81

Abstract

Kemajuan teknologi Artificial Intelligence (AI), khususnya generative AI, membuka peluang besar dalam meningkatkan kualitas pembelajaran dan efisiensi administrasi pendidikan. Namun, pemanfaatan teknologi ini di lingkungan sekolah berbasis pesantren masih sangat terbatas. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kompetensi profesional guru SMP Tahfidz Modern Lubabul Fattah melalui pelatihan teknik prompting generative AI. Metode yang digunakan adalah Action-Oriented Reflective Training yang menggabungkan penyampaian konsep, praktik langsung, dan pendampingan implementasi. Sebanyak 27 dari 31 guru mengikuti pelatihan satu hari penuh pada Agustus 2025, dilanjutkan dengan tiga sesi pendampingan. Evaluasi dilakukan melalui instrumen pre-test dan post-test serta kuesioner kepuasan peserta. Hasil menunjukkan peningkatan pada seluruh aspek kompetensi, dengan skor rata-rata pre-test berkisar 2,0–3,2 meningkat menjadi 3,1–3,9 pada post-test. Sebesar 81% peserta menyatakan pelatihan sangat bermanfaat, dan 67% berminat mengikuti pelatihan lanjutan. Program ini memberikan kontribusi nyata dalam mendorong transformasi digital sekolah berbasis pesantren.
Usability And Cognitive Load Evaluation of The Threads Interface Using The System Usability Scale (SUS) And NASA-TLX Methods Kifatul Hasna Tria Widyarsi; Yayak Kartika Sari; Taufiq Agung Cahyono
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.709

Abstract

The rapid evolution of social media interfaces has reshaped how users consume digital information, and interface complexity is known to affect both ease of use and the mental effort users must invest. This study examines the level of usability and cognitive load of the Threads interface and the relationship between the two constructs, using a quantitative descriptive-correlational approach. An online questionnaire was distributed to 200 students of Universitas Bhinneka PGRI Tulungagung selected through purposive sampling. Usability was measured with the System Usability Scale (SUS) and cognitive load with the NASA Task Load Index (NASA-TLX); data were processed in IBM SPSS. All instruments were valid and reliable, with Cronbach's Alpha values of 0.728 (SUS) and 0.786 (NASA-TLX). The mean SUS score was 70.0875, placing Threads in the "Good" category, while the mean NASA-TLX score of 58.83 indicated a moderate level of cognitive load. A Pearson correlation coefficient of 0.474 (p = 0.000) and a simple linear regression equation of Y = 0.735 + 0.521X, with an R Square of 0.225, showed that usability contributed 22.5% to cognitive load. The findings indicate that Threads is reasonably user-friendly but still imposes a moderate cognitive burden on its users, and that this burden rises together with—rather than in opposition to—perceived usability.
Pengembangan Sistem Informasi Tahfidzul Qur'an Berbasis Web Menggunakan Metode Agile Development Ahmad Rofi Rizaqi; Mohamad Khoirul Ansor; Yayak Kartika Sari
Jurnal ICT: Information Communication & Technology Vol. 26 No. 1 (2026): JICT-IKMI, July , 2026
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v26i1.359

Abstract

Pengelolaan data santri program Tahfidzul Qur'an di Pondok Pesantren Raudlatul Musthofa masih dilakukan secara manual menggunakan media kertas, sehingga menyebabkan proses administrasi tidak efisien, rentan kehilangan data, dan menyulitkan pemantauan perkembangan hafalan santri secara akurat dan terstruktur. Penelitian ini bertujuan mengembangkan Sistem Informasi Tahfidzul Qur'an berbasis web serta menganalisis hasil pengujian sistem yang dikembangkan. Sistem dibangun menggunakan PHP Native dan MySQL dengan metode Agile Development melalui tiga iterasi yang mencakup tahap perencanaan, perancangan, pembangunan, pengujian, implementasi, dan evaluasi. Iterasi pertama menghasilkan fitur login multi-user dan registrasi; iterasi kedua mengembangkan dashboard admin mencakup kelola data ustadz, santri, hafalan, ujian, dan cetak laporan; sedangkan iterasi ketiga mengembangkan dashboard ustadz beserta fitur input nilai hafalan, monitoring santri, lihat ujian, dan cetak laporan. Hasil Black Box Testing pada setiap iterasi menunjukkan seluruh skenario berstatus "Pass." Uji Validasi Kelayakan menggunakan skala Likert 5 poin dengan tiga validator menghasilkan rata-rata total validasi (RTV) sebesar 4,48 yang termasuk kategori "Sangat Layak." Sistem ini dinyatakan layak diimplementasikan dan terbukti mampu meningkatkan efisiensi pengelolaan data tahfidz di Pondok Pesantren Raudlatul Musthofa.
ANALISIS SENTIMEN PADA TREN OPINI PUBLIK TERHADAP PROGRAM #MAKANBERGIZIGRATIS DI PLATFORM X MENGGUNAKAN JARINGAN LONG SHORT-TERM MEMORY (LSTM) Veny Dwi Wahyuningsih; Yayak Kartika Sari; Agung Prasetya
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.
Implementation of Integrated Virtual Counseling in a Laravel-Based E-Learning System Nawang Rimarsha Alifdyani; Joko Iskandar; Yayak Kartika Sari
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.
Pengembangan Sistem E-Catering Berbasis Web Terintegrasi Whatsapp Gateway Pada Usaha Katering Kembang Desa Ngentrong Amartya Bambang Kusuma; Joko Iskandar; Yayak Kartika Sari
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.10779

Abstract

This study aims to design a web-based e-catering system integrated with WhatsApp Gateway for the Kembang Desa Ngentrong catering company. This system is intended to simplify and streamline the process of ordering, paying, and reporting catering orders online so as to improve operational efficiency and customer satisfaction. The development approach used is Agile Development, which facilitates the system development process iteratively and collaboratively by actively involving stakeholders. The implementation of WhatsApp Gateway as an integrated communication channel facilitates the ordering process by customers directly through the popular WhatsApp application. This system is developed based on web technology with product menu selection features, order confirmation, automatic alerts, and transaction reports that can be accessed by business owners. The results of system testing show that the use of the Agile Development approach can accelerate the development process and produce products that are in accordance with user needs with a validation scale of "Very Eligible." This e-catering system is expected to help the Kembang Desa Ngentrong Catering business manage orders better and improve customer service.