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Information Systems and Industrial Resource Planning Suparmanto, Nova; Nurdiyanto, Heri; Kharismawati, Anisa
Journal of Research in Social Science and Humanities Vol 5, No 2 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.275

Abstract

Information Systems (IS) and Industrial Resource Planning (IRP) play a critical role in the optimization and management of industrial operations in today's fast-paced and technology-driven environment. Information Systems encompass a range of technologies and practices designed to collect, store, process, and distribute information within an organization, facilitating decision-making and process automation. Industrial Resource Planning, on the other hand, is an integrated approach to managing the resources required in manufacturing processes, including raw materials, human resources, machinery, and financial assets. The primary objective of IRP is to ensure that industrial operations are carried out efficiently and cost-effectively, with minimal waste and maximum productivity. The integration of IS and IRP allows organizations to better track resources, improve production schedules, and enhance supply chain management. By utilizing data analytics and advanced information technologies, companies can predict demand fluctuations, optimize inventory management, and reduce downtime. Furthermore, IS and IRP systems often incorporate real-time monitoring tools, enabling managers to make informed decisions based on up-to-date information about the production process. This leads to improved overall performance and the ability to respond to challenges quickly and effectively. An essential component of IRP is its ability to forecast and plan for future resource needs based on historical data and industry trends. By leveraging IS tools, such as enterprise resource planning (ERP) software, manufacturers can automate their resource allocation and streamline production processes. The alignment of IS and IRP contributes to achieving sustainability goals, as resource utilization can be carefully monitored and adjusted to minimize environmental impact. As industries continue to evolve with the advent of Industry 4.0 technologies, the role of IS and IRP systems will only grow in significance, shaping the future of manufacturing and industrial operations. The paper highlights the importance of these systems in modern industrial settings and explores their impact on operational efficiency, resource management, and strategic decision-making..
Usulan Perbaikan Sistem Produksi Handatsuke Flute Body dengan Pendekatan Lean Production Kharismawati, Anisa; Mubin, Ahmad; Pambudiharto, Irwan
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 1 (2025): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i1.2809

Abstract

Strategi dan sistem yang baik sangat diperlukan untuk meningkatkan efisiensi dan efektivitas produksi, termasuk di PT. Y. Salah satu lini yang perlu perhatian adalah Handatsuke Flute Body, yang memproduksi Body dan Foot dari Flute. Lini produksi ini sering mengalami ketidakefisienan yang menghambat pencapaian target produksi. Untuk mengatasinya, diterapkan pendekatan Lean Production yang berfokus pada aktivitas bernilai tambah dan pengurangan pemborosan. Identifikasi waste dilakukan menggunakan Value Stream Mapping (VSM) dan kuisioner dengan metode Borda. Fault Tree Analysis (FTA) digunakan untuk menganalisis faktor penyebab waste, sementara Failure Mode and Effect Analysis (FMEA) digunakan untuk mengidentifikasi masalah paling serius dan usulan perbaikan yang perlu diprioritaskan. Hasil penelitian menunjukkan bahwa waste dominan adalah defect (26,32%) dan waiting (22,13%). Rekomendasi perbaikan meliputi peninggian hanger, penyusunan one point lesson dan penyampaian SOP visual kepada operator baru, serta pergantian kuas secara berkala. Usulan ini diperkirakan mampu menurunkan defect dan meningkatkan efisiensi produksi
Optimalisasi Produksi pada UMKM Industri Tahu dengan Linear Programming Anugerah, Adhe Rizky; Kharismawati, Anisa; Wijayanti, Nanik; Falaq, Iqbal Abdul; Kamil, Rafi Adlan; Sari, Saprina Melita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47978

Abstract

MSMEs (Micro, Small, and Medium Enterprises) are crucial to Indonesia's economy. However, limited resources and suboptimal management remain key challenges for business sustainability. This study aims to optimize tofu production in Yogyakarta’s MSMEs using the linear programming method, specifically the simplex method. The research focuses on three constraints: soybeans, salt, and working hours, with the goal of maximizing profit through an efficient combination of white tofu and Magel tofu production. Data was collected through field interviews and analyzed using the simplex method with POM/QM. The results show that the business needs to produce 14 buckets of white tofu (~1,400 pcs) and 6 buckets of Magel tofu (~600 pcs) to achieve maximum revenue of IDR 2,176,146. Sensitivity analysis on increasing Magel tofu prices did not affect the optimal solution within the tolerance range. This research offers empirical insights for MSME decision-making and theoretical contributions to linear programming applications in creative industry.
PENDAMPINGAN PENYUSUNAN PERANGKAT PEMBELAJARAN MENGGUNAKAN BANTUAN ARTIFICIAL INTELLIGENCE (AI) Mulyatiningsih, Endang; Kharismawati, Anisa; Trilisiana, Novi
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2855

Abstract

The rapid advancement of information and communication technology has had a significant impact on various aspects of life, including the education sector. One of the technological innovations that has attracted increasing attention is Artificial Intelligence (AI). However, its utilization in education, particularly in the development of learning materials, is still not optimal. Vocational and high school teachers at the LP Ma’arif NU PWNU DIY Foundation strive to keep up with technological developments by utilizing AI tools that can be applied in the preparation of learning devices. This activity aimed to provide training and assistance to teachers in using AI tools, including preparing learning materials, designing instructional media, and creating AI-based quizzes and interactive games. Through this program, it is expected that teachers’ ability to develop more varied and effective learning devices will improve. The implementation of this activity consisted of four stages. The first stage was lectures and discussions to provide basic understanding of AI concepts and benefits in education. The second stage involved training on the use of AI tools for developing learning materials. The third stage was practical mentoring. The final stage was an evaluation to measure participants’ understanding and skills after the program. The evaluation results showed an increase in participants’ understanding of AI tools. In addition, participants’ interest and confidence in utilizing AI for learning, which was already high, increased further after the training. Thus, this program proved effective in improving teachers’ knowledge, skills, and motivation to integrate AI into the teaching and learning process.