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All Journal Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) Bulletin of Electrical Engineering and Informatics Agrointek International Journal of Advances in Intelligent Informatics Jurnal Ilmiah Teknik Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri Majalah Ilmiah Pengkajian Industri Jurnal Repositor Buletin Profesi Insinyur Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Industrial View Empowerment: Jurnal Pengabdian Masyarakat JURNAL TEKNIK INDUSTRI JURTI Jurnal Teknik Industri Spektrum Industri
Shanty Kusuma Dewi
Universitas Muhammadiyah Malang
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APLIKASI SISTEM INFORMASI SEBAGAI UPAYA PENINGKATAN MANAJEMEN DAN PRODUKTIVITAS DALAM EKONOMI DIGITAL PADA PRODUK Q-MAS M PT. TASAMA Lestandy, Merinda; Hidayat, Khusnul; Dewi, Shanty Kusuma; Hakim, Lukman; Aqmal, Muhammad; Bayanaka, Dzaky Darrell; Laksono, Pranadi Sigit Dwi; Adji, Bima Septian
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.36537

Abstract

Program Pengabdian kepada Masyarakat ini berawal dari kebutuhan PT. TASAMA untuk memperkuat manajemen dan produktivitas dalam era ekonomi digital, khususnya terkait pengelolaan produksi dan kualitas produk air minum Q-Mas M. Sistem manual yang sebelumnya digunakan dalam pencatatan produksi dan pemantauan kualitas air dianggap kurang efisien dan rentan terhadap kesalahan. Oleh karena itu, diperlukan solusi berbasis teknologi informasi yang dapat mengoptimalkan proses produksi serta menjaga dan memantau kualitas air minum dengan lebih akurat dan real-time. Tujuan utama dari program ini adalah mengembangkan serta menerapkan aplikasi sistem informasi berbasis web yang dapat mencatat data produksi dan memonitor kualitas air minum secara real-time. Diharapkan, aplikasi ini mampu meningkatkan efisiensi manajemen, transparansi dalam pencatatan, serta memudahkan pengawasan kualitas produk PT. TASAMA, sehingga memperkuat daya saing perusahaan dalam ekonomi digital. Kegiatan pengabdian kepada masyarakat ini dilakukan melalui beberapa tahapan. Pertama, dilakukan identifikasi kebutuhan mitra untuk memahami kendala dan kebutuhan spesifik PT. TASAMA. Langkah ini diikuti dengan perencanaan sistem, yang mencakup desain aplikasi dan fitur-fitur yang dibutuhkan. Pada tahap implementasi, aplikasi berbasis web dikembangkan dan diterapkan untuk pencatatan produksi, serta pemasangan alat monitoring kualitas air minum secara real-time. Setelah sistem terpasang, karyawan PT. TASAMA menerima pelatihan agar mereka dapat mengoperasikan sistem dengan lancar. Tahap akhir adalah monitoring dan evaluasi untuk memastikan efektivitas dan keberlanjutan sistem yang telah diterapkan. Luaran yang diharapkan dari kegiatan ini meliputi aplikasi pencatatan data produksi berbasis web, sistem pemantauan kualitas air minum secara real-time, serta peningkatan kapasitas sumber daya manusia melalui pelatihan. Hasil dari program pengabdian ini menunjukkan penerapan teknologi informasi yang berhasil dalam meningkatkan efisiensi pencatatan dan monitoring. Karyawan PT. TASAMA juga telah dilatih untuk mengoperasikan sistem secara mandiri. Dengan adanya sistem ini, pengelolaan produksi dan kualitas air minum berjalan lebih optimal, sehingga PT. TASAMA mengalami peningkatan manajemen dan produktivitas yang signifikan di era ekonomi digital.
Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax Marsetiya Utama, Dana; Dwi Asmara Putri, Yolanda; Kusuma Dewi, Shanty
Spektrum Industri Vol. 23 No. 1 (2025): Spektrum Industri - April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i1.233

Abstract

This study aims to develop a novel Economic Production Quantity (EPQ) model that integrates important sustainability and operational factors reorders, rework, imperfect quality, emission taxes, and variable electricity tariffs- by minimizing the total inventory cost while considering environmental and energy-related constraints. The model is formulated as an Integer Non-Linear Programming (INLP) problem, with two main decision variables: the total number of products produced in a cycle (y) and the maximum allowable reorder level (w). To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. In addition, a sensitivity analysis is performed to assess the impact of various parameters on the total cost. Numerical experiments show that increasing emission taxes, electricity tariffs, and installation costs significantly increase the total inventory and production costs. In particular, higher emission taxes and electricity tariffs amplify the financial burden on manufacturers, underscoring the economic implications of environmental regulations and energy use. These findings emphasize integrating operational and ecological considerations into production planning. This study contributes to the field by offering a comprehensive framework that supports sustainable manufacturing practices through cost-effective inventory management. The proposed EPQ model enables manufacturers to balance economic performance and ecological responsibility, aligning operational strategies with sustainability goals and regulatory compliance.
Peningkatan Efisiensi Produksi dengan Pendekatan Lean Six Sigma di Industri Makanan Nadya Safa Regina Putri; Shanty Kusuma Dewi; Dana Marsetiya Utama
Journal of Industrial View Vol. 7 No. 1 (2025)
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jiv.v7i1.14705

Abstract

Implementing production standards is a big challenge for an industry, especially for small industries with a limited number of workers. Synchronization between process efficiency and optimal quality plays an important role in strengthening the sustainability of each industry. However, this condition will not happen if there is still waste in the production process. This study aims to improve production efficiency, find out the waste that occurs during production and reduce waste by providing recommendations for improvement through a lean six sigma approach using the DMAI (define, measure, analyze and improve) stages. The lean approach focuses on reducing waste through minimizing operating errors, while six sigma focuses on process optimization to improve process efficiency. This research involves the waste assessment model (WAM) to identify critical waste and RCA to analyze the root cause of waste. The results showed that the value of process cycle efficiency was 66.07% and it was found that there were five critical wastes in production, namely defects (24.8%), transportation (16.2%), waiting (15.4%), overproduction (13.36%) and inventory (12.47%). The application of this method can increase the value of production efficiency as well as a sustainable strategy in process improvement.Menerapkan standar produksi merupakan tantangan besar bagi suatu industri, terutama bagi industri kecil dengan jumlah tenaga kerja yang terbatas. Sinkronisasi antara efisiensi proses dan mutu yang optimal sebagai peran penting dalam memperkuat keberlangsungan tiap industri. Tetapi, kondisi tersebut tidak akan terjadi jika masih ada pemborosan dalam proses produksinya. Penelitian ini bertujuan untuk meningkatkan efisiensi produksi, mengetahui waste yang terjadi selama produksi berlangsung dan mengurangi waste dengan memberikan rekomendasi perbaikan melalui pendekatan lean six sigma menggunakan tahapan DMAI (define, measure, analyze dan improve). Pendekatan lean berfokus pada pengurangan waste melalui minimasi kesalahan operasi, sedangkan six sigma berfokus pada optimalisasi proses untuk meningkatkan efisiensi proses. Dalam penelitian ini melibatkan waste assessment model (WAM) sebagai identifikasi waste kritis dan RCA sebagai analisa akar penyebab waste. Hasil penelitian menunjukkan bahwa nilai process cycle efficiency 66,07% dan ditemukan pada produksi terdapat lima waste kritis, yaitu defect (24,8%), transportation (16,2%), waiting (15,4%), overproduction (13,36%) dan inventory (12,47%). Penerapan metode ini dapat meningkatkan nilai efisiensi produksi serta sebagai strategi berkelanjutan dalam perbaikan proses
A modified one-to-one algorithm for optimizing sustainable lot sizing multi-item models Utama, Dana Marsetiya; Rafika, Yuan; Dewi, Shanty Kusuma
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.9844

Abstract

Multi-item inventory management in modern production environments faces major challenges related to stochastic demand, transportation costs, and carbon emissions. This study aims to develop a sustainable lot sizing model that integrates economic and environmental aspects, and proposes the one-to-one based optimization (OOBO) algorithm as a problem-solving approach. The methodology used includes non-linear programming (NLP) formulation that considers stochastic demand, ordering and storage costs, carbon emissions, energy consumption, and vehicle capacity constraints. The model is then optimized using OOBO and compared with the Aquila, particle swarm optimization (PSO), and genetic algorithm (GA) algorithms in three case scale scenarios (6, 30, and 50 items). The experimental results show that OOBO consistently outperforms the comparison algorithms, with cost savings of up to 40.9% in the 50-item case. OOBO also demonstrated high exploration resilience without premature convergence and competitive computational time efficiency. These findings confirm that OOBO is effective in simultaneously optimizing total costs and carbon emissions, making it an adaptive solution for sustainable supply chain management. The theoretical implications include the expansion of OOBO's application to multidimensional stochastic systems, while in practical terms, this model supports decision-makers in formulating environmentally friendly and efficient inventory policies.
Co-Authors Adji, Bima Septian Alfin Nur Bintang Ananda Rizky Calfintry Putri Annisa Kesy Garside Aqmal, Muhammad Aristy Indana Bagus Arif Dwi Winarko Bayanaka, Dzaky Darrell Cynthia Novel Al-Imron Dana Marsetya Utama Dian Anggraini Dian Palupi Restuputri Dwi Asmara Putri, Yolanda Eko Saputro, Thomy Fitra Risaldi Ikhlasul Amallynda Ilyas Masudin Khusnul Hidayat Laksono, Pranadi Sigit Dwi Lukman Hakim M Syahban Giraldi Meiliza Dresanala Merinda Lestandy Muhammad Faisal Ibrahim Nadya Safa Regina Putri Nanda Bagus Pratama NANDA BAGUS PRATAMA nugroho, catur wahyu Putri, Ananda Rizky Calfintry Rafika, Yuan Rahmawatie, Layyinatur Ramadhani, Taufik Akbar Sabrina Legtria Wardani Teguh Baroto Thomy Eko Saputro Thomy Eko Saputro Uci Yuliati Ummah, Dyah Maslahatul Veronika Indah Mawarti Veronika Indah Mawarti, Veronika Indah Widodo, Dian Setiya Wildan Suharso Winarko, Bagus Arif Dwi Zara Safira Ramadhani Zida Heilmalia Aqiel Melita Khusna