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All Journal Jurnal Informatika dan Teknik Elektro Terapan Zero : Jurnal Sains, Matematika, dan Terapan G-Tech : Jurnal Teknologi Terapan INFOKUM Jurnal Info Sains : Informatika dan Sains Academic Journal of Computer Science Research (AJCSR) Information Technology Education Journal Ambidextrous : Journal of Innovation, Efficiency and Technology in Organization Algebra : Jurnal Pendidikan Sosial dan Sains
Lilis Stianingsih
Institut Teknologi Dan Bisnis Bina Sarana Global
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Physics Social Sciences Other

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Aplikasi E-commerce Herbal Binasyifa Berbasis Android Menggunakan Framework Flutter Lilis Stianingsih; Rahmat Tullah; Siti Maisaroh; Maftuhah Nurhasanah
Academic Journal of Computer Science Research Vol 5, No 1 (2023): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v5i1.608

Abstract

CV. Bina Syifa Mandiri merupakan suatu lembaga pengembangan tanaman dan obat herbal Indonesia yang berfokus pada pengembangan tanaman herbal, obat-obatan herbal, pelatihan dan pelayanan kesehatan. Penelitian ini merancang dan membuat sistem informasi yang dapat membantu memudahkan pemasaran produk obat herbal pada CV. Bina Syifa Mandiri yang saat ini masih menggunakan website dan pemasaran secara manual. Sistem ini juga dapat mempermudah pekerjaan karyawan dalam pengelolaan data dengan waktu cepat hingga relative cepat. Metode yang digunakan dalam penelitian ini adalah metode waterfall dengan langkah analisis, desain, pemrograman, pengujian blackbox testing, dan implementasi. Selanjutnya perancangan dan pembangunan sistem dilakukan dengan proses perancangan UML (Unified Modelling Language) dengan use case, diagram activity, sequence diagram, class diagram dan diimplementasikan menggunakan UI (User Interface) framework flutter dengan firebase API dan database firestore storage. Hasil dari penelitian ini adalah sebuah aplikasi berbasis android yang mempermudah pembeli untuk melihat katalog produk, membeli suatu produk tanpa harus datang ke toko serta mempermudah karyawan untuk mengelola database produk dan pemasaran. Hasil pengujian dari penelitian ini yaitu sistem yang dibuat berjalan dengan baik tanpa ada kendala sesuai dengan final elisitasi dan mudah digunakan oleh pengguna.
Implementasi Metode Prototyping dalam Mengembangkan Sistem Informasi Berbasis Web Klinik Arifatullah Medika Wira Hadinata; Lilis Stianingsih; Dede Nurhayati
Academic Journal of Computer Science Research Vol 5, No 2 (2023): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v5i2.2946

Abstract

Klinik merupakan sebuah fasilitas pelayanan kesehatan yang menyelenggarakan pelayanan kesehatan untuk perorangan serta menyediakan pelayanan medis dasar dan/atau spesialistik. Setiap klinik diharapkan dapat dengan cepat dalam menangani pasien yang datang karena ada kemungkinan pasien yang datang memang pasien dengan sakit yang harus segera ditangani. Pada Klinik Arifatullah Medika ditemukan adanya hambatan, diantaranya pendaftaran pasien masih dilakukan secara manual dengan pasien harus datang langsung ke klinik, tidak memiliki sistem antrian dalam perawatan, manajemen rekam medis yang masih manual dengan menulis tangan. Hal ini dapat menghabiskan banyak waktu dalam proses pencarian data. Jadi klinik ini memerlukan komputerisasi terkait dengan penanganan pasien. Tujuan dari aplikasi ini adalah untuk memudahkan kegiatan operasional sehari-hari di dalam klinik yang berjalan dengan cepat dan tepat, serta pengelolaan data medis akan lebih akurat (meminimalisir human error). Untuk metode pengembangan sistem menggunakan prototype. Aplikasi ini berbasis website menggunakan bahasa pemrograman PHP dalam framework Laravel 9 yang didukung basis data MySQL. Dengan pembuatan aplikasi ini proses kerja di dalam klinik menjadi lebih cepat, pendokumentasian rekam medis yang terstruktur, mengurangi penggunaan kertas, serta memudahkan aktivitas dalam pelayanan pasien.
ANALISIS PERBANDINGAN PERFORMA RESTFULL API ANTARA EXPRESS.JS DENGAN LARAVEL FRAMEWORK Wira Hadinata; Lilis Stianingsih
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3845

Abstract

Application Programming Interface (API) merupakan sebuah antarmuka yang mampu mengintegrasikan data dan menghubungkan suatu aplikasi yang berjalan di banyak platform sehingga dapat saling terhubung, salah satu implementasi API tersebut adalah RESTful API. Pemilihan teknologi dalam pembuatan RESTful API sangatlah penting karena dapat mempengaruhi kinerja server. Kerangka kerja Laravel dan Express.js adalah dua teknologi backend yang digunakan untuk membuat RESTful API. Untuk mengetahui performa masing-masing framework, perlu dilakukan pengujian dengan menggunakan metode performance test untuk mengetahui respon time serta penggunaan CPU dan memori. Hasil pengujian menunjukkan bahwa Express.js mempunyai waktu respon rata-rata 48,68 ms lebih cepat dibandingkan framework Laravel yang memperoleh waktu respon rata-rata 635,17 ms, sedangkan untuk penggunaan CPU framework Express.js 17% dan framework Laravel 20%. Untuk penggunaan memori framework Express.js 63% lebih sedikit dari framework Laravel 72%. Jadi Express.js cocok untuk sistem yang diakses oleh banyak pengguna dan ditempatkan pada server dengan spesifikasi tinggi. Sedangkan framework Laravel cocok diterapkan pada sistem dengan akses pengguna yang lebih sedikit dan dapat ditempatkan pada server dengan spesifikasi lebih tinggi.
Analysis of Customer Sentiment towards Wardah Beauty Products on Instagram Using K-Nearest Neighbors (KNN) and Naïve Bayes Algorithms Aghniya Aulia Nisa; Nur Hafidzah Safitri; Lilis Stianingsih; Fiqih Hana Saputri
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6804

Abstract

The beauty industry in Indonesia continues to grow rapidly, with Wardah emerging as a leading local brand that garners numerous customer reviews on Instagram. Understanding these customer opinions is crucial, as they significantly influence brand perception and purchasing decisions. This study aims to compare the performance of K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in classifying customer sentiment toward Wardah’s products on Instagram. The research follows the CRISP-DM methodology, involving data collection through web scraping, data preprocessing, and classification using both algorithms. The results show that KNN achieves higher accuracy (78.23%) than Naïve Bayes (74.56%), making it more effective in sentiment classification. KNN is advantageous in identifying distance-based patterns, while Naïve Bayes offers faster processing and easier implementation. These findings suggest that KNN is more suitable for accurate sentiment prediction. Wardah can implement a KNN-based sentiment monitoring system to track public feedback on product launches and campaigns, thereby enhancing marketing strategies and customer engagement
The Role of Learning Website Integration, Teacher Support, and Student Independence in Enhancing Mathematics Competence at Vocational Schools Lilis Stianingsih; Ferawati; Fiqih Hana Saputri; Detin Sofia
Information Technology Education Journal Vol. 4, No. 4, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i4.9909

Abstract

Mathematics competence is essential for developing students’ analytical and problem-solving abilities in vocational education. However, many students still face challenges in mastering mathematical concepts effectively. This study aims to examine the influence of Learning Website Integration, Teacher Support, and Student Independence on students’ mathematics competence using a quantitative ex post facto design. The research involved 100 respondents from SMK Bina Mandiri. Data were collected through questionnaires and mathematics competency tests, then analyzed using descriptive statistics and multiple linear regression. The results show that the regression model meets all classical assumption tests and is statistically appropriate for explaining the relationships among variables. Simultaneous testing indicates that all three independent variables significantly influence students’ mathematics competence. Partial testing reveals that each variable has a significant positive effect, with Teacher Support identified as the most dominant factor. The coefficient of determination (R²) is 0.572, meaning that 57.2% of the variation in mathematics competence can be explained by the three variables, while the remaining 42.8% is influenced by other factors outside the model. These findings highlight the importance of integrating technology, strengthening teacher support, and fostering student independence to improve mathematics learning outcomes in vocational education. The results of this study provide guidance for implementing technology-based pedagogy in vocational education.
Technical Assessment of Neuro-Symbolic AI for Cultural and Fractal Analysis of Batik Motifs Rahmat Tullah; Lilis Stianingsih
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 3 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i3.26781

Abstract

This study presents a structured literature review of Neuro-Symbolic Artificial Intelligence (NSAI) approaches for extracting cultural semantics and fractal features from Batik motifs. A structured multi-database screening (2015-2025) yielded 69 peer-reviewed studies, which were synthesized thematically. The review identifies three key findings: existing vision-based models generally lack explicit mechanisms for encoding intangible cultural rules; hybrid neural-symbolic approaches demonstrate improved interpretability and compositional reasoning; and fractal-based descriptors show promise for representing culturally grounded motif structures. Based on these findings, this study proposes a conceptual NSAI framework that combines symbolic knowledge representations with fractal feature modeling, without empirical validation at this stage. The synthesis highlights potential applications in motif recognition, generative motif modeling, and computer-assisted cultural heritage preservation. Overall, NSAI offers a feasible and explainable conceptual framework for modeling Batik's intangible cultural knowledge.
Implementation of Natural Language Processing On Chatbot for Tourist Information Services (Case Study: Serang City) Wira Hadinata; Lilis Stianingsih
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i02.2774

Abstract

This research aims to develop and implement a chatbot system based on Natural Language Processing (NLP) that can provide tourist information services in Serang City. With the increasing need for fast and accurate information in the digital era, it is hoped that chatbots can be an effective solution to help tourists obtain information regarding tourist attractions, accommodation and activities in Serang City. The methods used in this research include data collection through interviews and surveys, as well as developing an NLP model using natural language processing techniques to understand and respond to user questions. The results of this research show that the chatbot developed is able to provide relevant and satisfying answers to users. In addition, feedback from users shows that this chatbot improves tourists' experience in exploring Serang City. It is hoped that this research can become a reference for the development of technology-based tourism information systems in other areas.
INTEGRATING CRITICAL THINKING INTO LMS-SUPPORTED TOEIC INSTRUCTION: TRANSFORMING WASHBACK IN EFL LEARNING Eka Uliyanti Putri; Lilis Stianingsih
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol. 6 No. 2 (2026): Algebra : Jurnal Pendidikan Sosial dan Sains
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/zx2cv766

Abstract

The integration of Learning Management Systems (LMS) in English language learning has become increasingly common in higher education. This study investigated the implementation of critical-thinking-oriented activities in LMS-supported TOEIC instruction and its influence on students’ TOEIC achievement, critical thinking skills, washback effects, and learning perceptions. The study employed a mixed-methods quasi-experimental design involving 60 undergraduate students enrolled in TOEIC preparation classes at a private university in Indonesia. Quantitative data were collected through TOEIC tests and a washback questionnaire, while qualitative data were obtained through semi-structured interviews. The findings showed that students in the experimental group achieved higher TOEIC score gains and demonstrated better critical thinking performance than those in the control group. The questionnaire results indicated high levels of learning orientation, deep learning behavior, learner autonomy, reflective learning, and engagement in LMS-supported activities, while negative washback tendencies were relatively low. Interview findings revealed positive student perceptions of the learning approach.
Evaluating Mobile Mathematics Learning Application Success Using the DeLone–McLean Information Systems Success Model Ferawati Ferawati; Lilis Stianingsih; Fiqih Hana Saputri; Rudi Setiyanto
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study evaluates the success of the Math World mobile mathematics learning application implemented at SKh YKDW Tangerang using the DeLone and McLean Information Systems Success Model. A quantitative descriptive approach was employed involving 25 special education teachers as respondents. Data were collected through a questionnaire measuring six dimensions of information system success: System Quality, Information Quality, Service Quality, System Use, User Satisfaction, and Net Benefits. The data were analyzed using descriptive statistics based on percentage scores. The results indicate that the overall success level of the application reached 78.9%, which falls into the Good category. Among the six dimensions, User Satisfaction obtained the highest score (82.9%), followed by Information Quality (82.4%), while System Use recorded the lowest score (74.1%). The findings suggest that teachers perceive the Math World application as easy to use, providing accurate and relevant learning content that supports mathematics instruction for students with intellectual disabilities. However, improvements are still needed in system reliability, technical support responsiveness, and the integration of the application into regular classroom practice to maximize its educational benefits. Overall, the study concludes that Math World is an effective learning application with considerable potential to support inclusive mathematics education.
Pushing the Limits of Quantum Computing: Variational Algorithms for Solving NP-Hard Problems Austin Wenxuan Li; Lilis Stianingsih; Ana Utami Zainal
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.300

Abstract

This study explores the application of variational quantum algorithms to solve NP-hard combinatorial optimization problems, focusing specifically on the MaxBisection problem. The research introduces an enhanced hybrid quantum-classical framework, HTAAC-QSDP, which combines problem-informed ansatz design with semidefinite programming (SDP) relaxation and iterative optimization. Simulation results across multiple graph instances show that the proposed method achieves approximation ratios consistently above 0.95, approaching classical SDP benchmarks. Experiments also demonstrate the sensitivity of performance to key hyperparameters such as circuit depth, rotation scaling, and learning rate. Additionally, hardware implementation on IBM quantum devices reveals the model’s resilience under noise, provided that initialization and optimization strategies are carefully tuned. The findings suggest that variational quantum approaches can provide high-quality approximations for complex NP-hard problems, even in the noisy intermediate-scale quantum (NISQ) era. The results lay the groundwork for scalable quantum optimization frameworks and support the advancement of quantum advantage in real-world applications.
Co-Authors Aghniya Aulia Nisa Ana Utami Zainal Austin Wenxuan Li Dede Nurhayati Detin Sofia Eka Uliyanti Putri Ferawati Ferawati Fiqih Hana Saputri Fiqih Hana Saputri Maftuhah Nurhasanah Nur Hafidzah Safitri Rahmat Tullah Rahmat Tullah Rudi Setiyanto Siti Maisaroh Wira Hadinata