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All Journal Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Budimas : Jurnal Pengabdian Masyarakat Komatika: Jurnal Pengabdian Kepada Masyarakat Science Technology and Management Journal (STMJ)
Erba Lutfina
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences Other

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INTEGRASI EXTREME PROGRAMMING DAN PROTOTYPE DALAM PENGEMBANGAN SISTEM POS ACCOUNTING DENGAN PENGUJIAN BERBASIS ARTIFICIAL INTELLIGENCE: INTEGRATION OF EXTREME PROGRAMMING AND PROTOTYPING IN THE DEVELOPMENT OF A POS ACCOUNTING SYSTEM WITH ARTIFICIAL INTELLIGENCE BASED TESTING Nabela Putri Setiawan; Erba Lutfina; Galuh Wilujeng Saraswati; Resha Meiranadi Caturkusuma
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6959

Abstract

Advancements in information technology have had a significant impact on various sectors, including the business sector, which requires efficiency and accuracy in data management. Fresh Market Pantai Klatak is one of the companies that requires such improvements, as it still relies on a manual transaction management system, resulting in delays in reporting and errors in calculations. The development of a web-based Point of Sale (POS) Accounting System is expected to support transaction management and financial reporting at Fresh Market Pantai Klatak. The system development employs the Extreme Programming (XP) method combined with the Prototype approach during the planning and design phases to accelerate the development process and better meet user requirements. The integration of Extreme Programming (XP) and Prototype, supported by Artificial Intelligence (AI) during the testing phase, enables the development of a system that is responsive to user needs while improving code quality and user interface through AI-based automated validation. Unit Testing results indicate that the system functions properly with a success rate of 100%. Furthermore, User Acceptance Testing (UAT) results show an average score of 97%, which falls into the “very good” category, indicating that the POS Accounting System meets user requirements. Therefore, the developed POS Accounting System is feasible for use and is expected to improve operational efficiency and the accuracy of financial reporting at Fresh Market Pantai Klatak.
INTEGRASI METODE RAPID APPLICATION DEVELOPMENT (RAD) DAN USER ACCEPTANCE TESTING (UAT) DALAM PENGEMBANGAN SISTEM INFORMASI PEMESANAN DIGITAL PRINTING: INTEGRATION OF RAPID APPLICATION DEVELOPMENT (RAD) AND USER ACCEPTANCE TESTING (UAT) METHODS IN THE DEVELOPMENT OF A DIGITAL PRINTING ORDERING INFORMATION SYSTEM Kenza Amelia Putri Anwarri; Galuh Wilujeng Saraswati; Wildan Mahmud; Erba Lutfina; Resha Meiranadi Caturkusuma
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6960

Abstract

Advances in information technology have encouraged various business sectors to switch from manual systems to digital systems in order to improve efficiency and service quality. CV. Penanggungan 44, as a digital printing service provider, previously used a manual ordering system, resulting in inefficient transactions and susceptibility to recording errors. This study aims to design and develop a website-based Digital Printing Ordering Information System that can simplify the ordering process and assist in integrated data management. The system was developed using the Rapid Application Development (RAD) method combined with a User-Centered Design (UCD) approach and User Acceptance Testing (UAT) applied iteratively. UAT is not only used as a final testing stage, but also utilized since the interface design stage as a formative evaluation, so that user feedback can be directly integrated into the system design and construction improvement process. This approach ensures that rapid development remains in line with user needs and experiences. Black-box Testing shows that all system features function properly with a 100% success rate. Meanwhile, the User Acceptance Testing (UAT) results obtained an average score of 86.8% in the excellent category, indicating that the system is easy to use and well-received by users. Thus, the developed system is deemed suitable for use in improving operational efficiency and service quality at CV. Penanggungan 44
Implementasi AI sebagai Asisten Cerdas untuk Meningkatkan Kompetensi Guru dalam Penyusunan Instrumen Asesmen di SMA Negeri 1 Ngadiluwih Galuh Wilujeng Saraswati; Erba Lutfina; Affandy; Ricardus Anggi Pramunendar; Muhammad Syaifur Rohman
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): May 2026
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v6i1.1482

Abstract

Perkembangan Artificial Intelligence (AI) yang pesat menuntut adaptasi kompetensi guru dalam menyusun instrumen evaluasi yang adaptif dan inovatif. Pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital tenaga pendidik di SMA Negeri 1 Ngadiluwih melalui pelatihan pemanfaatan AI sebagai asisten cerdas dalam penyusunan asesmen berbasis Higher Order Thinking Skills (HOTS) dan produksi media pembelajaran kreatif. Metode yang digunakan adalah Participatory Action Research (PAR) yang melibatkan 60 guru dari berbagai rumpun mata pelajaran. Pelatihan dilaksanakan selama 150 menit dengan alur kerja yang mencakup pemaparan teori, demonstrasi prompt engineering, dan praktik mandiri pembuatan video edukasi clay-motion. Hasil kegiatan menunjukkan adanya peningkatan kompetensi kognitif peserta secara signifikan, yang dibuktikan dengan kenaikan rata-rata nilai dari 5,63 pada pre-test menjadi 7,5 pada post-test. Selain itu, mitra berhasil memproduksi draf instrumen asesmen HOTS dan purwarupa media visual yang relevan dengan kebutuhan kurikulum. Meskipun terdapat kendala pada kesenjangan literasi digital antar generasi dan limitasi teknis perangkat, kegiatan ini terbukti efektif dalam mentransformasi peran AI sebagai asisten instruksional yang mampu mereduksi beban administrasi sekaligus meningkatkan kualitas konten edukasi di sekolah.
IMPLEMENTASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG KEPUTUSAN PEMILIHAN REKOMENDASI HANDPHONE Evita Citra Yustiqomah; Erba Lutfina; Galuh Wilujeng Saraswati; Wildan Mahmud
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.358

Abstract

In the rapidly evolving digital era, the demand for mobile phones is increasing, with a wide range of specifications and price points available. PT. Topsell Raharja Indonesia, as one of the leading mobile phone retailers, faces challenges in providing fast and accurate recommendations that align with the needs of prospective buyers. The manual phone selection process currently used by sales staff often leads to errors in decision-making, resulting in service delays and customer dissatisfaction. Therefore, this study aims to develop a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) to assist the store in recommending optimal mobile phones based on specific criteria. The AHP method is utilized to analyze and compare several key criteria—including price, RAM capacity, camera quality, battery life, performance, and design—in order to determine priority rankings for phone selection. The results demonstrate that the proposed system improves the efficiency of recommendations, reduces selection errors, and accelerates the customer service process. The implementation of the AHP method enables objective and accurate suggestions, achieving up to 98% accuracy. By systematically calculating the weight of each criterion, the system generates optimal alternatives tailored to the preferences and needs of prospective buyers
Integrating FAST Methodology and Hybrid Recommendation for Government Asset Platforms Fani Adi Setyawan; Erba Lutfina; Galuh Wilujeng Saraswati
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6378

Abstract

Optimizing Regional Owned Property (BMD) presents a critical challenge in modern government management, where numerous potential assets remain underutilized due to information asymmetry between the state and prospective tenants. Existing research indicates that current platforms predominantly focus on administrative recording rather than proactive commercialization, largely due to rigid regulations requiring strict appraisal-based pricing. This study proposes a novel conceptual integration to resolve this dichotomy by bridging strict public sector compliance with commercial-grade user experience. Instead of utilizing it merely as a development lifecycle tool, the FAST (Framework for the Application of Systems Technique) methodology is positioned as a regulatory guardrail to deterministically lock appraisal pricing and ensure strict adherence to Ministerial Regulations. Conversely, a Hybrid Recommendation System (merging Content-Based and Collaborative Filtering) is deployed explicitly at the tenant front-end to liberate and personalize the asset discovery process. These conflicting logic domains are seamlessly separated within a decoupled multi-tier architecture. Research findings reveal that the hybrid model successfully addresses the cold-start problem, achieving a top recommendation relevance score of 0.900 for newly listed assets. User Acceptance Testing (UAT) results demonstrate high efficacy, with a 94% acceptance rate from government administrators regarding regulatory logic validation and an 89% satisfaction score from public users regarding personalized recommendations. The explicit contribution of this study is a validated technological blueprint that harmonizes government legal compliance with commercial-grade discovery algorithms, effectively boosting Regional Original Revenue (PAD) optimization. In conclusion, this research confirms that encapsulating AI within a structured regulatory framework can transform rigid public sector assets into a responsive E-Business ecosystem. The explicit contribution of this study is a validated technological blueprint that harmonizes government legal compliance with commercial-grade discovery algorithms, boosting Regional Original Revenue (PAD) optimization, with future studies recommended to explore blockchain integration for auditability.
Pemberdayaan Masyarakat Desa Kwadungan Dalam Peningkatan Nilai Produk Turunan Bebek Dengan Metode Community-Based Entrepreneurship dan Value Chain Development Fais Sofyan Noor; Erba Lutfina; Galuh Wilujeng Saraswati; Dhiky Resandi Wur Handoyo
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 8 No. 2 (2026): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v8i2.20881

Abstract

Downstream processing of livestock commodities is an important strategy for increasing product value and strengthening community economic independence based on local potential. Kwadungan Village, Ngasem District, Kediri Regency, has potential for herded duck farming, with a population of approximately 6,750 ducks. However, ducks and eggs are still predominantly sold fresh to collectors, resulting in limited added value. This community engagement program aimed to strengthen the capacity of the target group through the downstream processing of duck and egg products using the Community-Based Entrepreneurship (CBE) and Value Chain Development (VCD) approaches. The partner was the BERTAKWA group (Bebek dan Telur Kreasi Kwadungan), consisting of 20 productive-age housewives. The program was implemented through six stages: socialization and target-group mapping, production and packaging training, production assistance, legal compliance assistance, branding and marketing strengthening, and evaluation and sustainability planning. The program resulted in three processed products: black duck sambal, shredded duck, and keripik ketandhok. The participants’ mean knowledge score increased from 52.5 in the pre-test to 88 in the post-test, representing an increase of 35.5 points. The program also strengthened group capacity in production, packaging, business management, legal compliance, branding, and marketing. This program represents an initial step toward strengthening the duck and egg value chain through an integrated and sustainable approach.
Co-Authors Affandy Affandy Dhiky Resandi Wur Handoyo Evita Citra Yustiqomah Fais Sofyan Noor Fani Adi Setyawan Kenza Amelia Putri Anwarri Muhammad Syaifur Rohman Nabela Putri Setiawan Resha Meiranadi Caturkusuma Ricardus Anggi Pramunendar Saraswati, Galuh Wilujeng Wildan Mahmud