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All Journal TEKNIK TELKOMNIKA (Telecommunication Computing Electronics and Control) OPSI JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Jurnal Minds: Manajemen Ide dan Inspirasi International Journal of Advances in Intelligent Informatics Jurnal Ilmiah Teknik Industri Jurnal Sistem dan Manajemen Industri IJIES (International Journal of Innovation in Enterprise System) JITMI (Jurnal Ilmiah Teknik dan Manajemen Industri) Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Jurnal Abdi Insani International Journal of Industrial Optimization (IJIO) Indonesia Berdaya SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) International Journal of Robotics and Control Systems Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Pengabdian Teknologi Tepat Guna Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Logic : Jurnal Rancang Bangun Dan Teknologi Prosiding Seminar Nasional Pengabdian Masyarakat
Asih, Hayati Mukti
Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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A genetic algorithm approach to green vehicle routing: Optimizing vehicle allocation and route planning for perishable products Asih, Hayati Mukti; Leuveano, Raden Achmad Chairdino; Dharmawan, Dhimas Arief; Ardiansyah, Ardiansyah
International Journal of Advances in Intelligent Informatics Vol 11, No 2 (2025): May 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i2.1784

Abstract

This paper introduces a novel approach to the Green Vehicle Routing Problem (GVRP) by integrating multiple trips, heterogeneous vehicles, and time windows, specifically applied to the distribution of bakery products. The primary objective of the proposed model is to optimize route planning and vehicle allocation, aiming to minimize transportation costs and carbon emissions while maximizing product quality upon delivery to retailers. Utilizing a Genetic Algorithm (GA), the model demonstrates its effectiveness in achieving near-optimal solutions that balance economic, environmental, and quality-focused goals. Empirical results reveal a total transportation cost of Rp. 856,458.12, carbon emissions of 365.43 kgCO2e, and an impressive average product quality of 99.90% across all vehicle trips. These findings underscore the capability of the model to efficiently navigate the complexities of real-world logistics while maintaining high standards of product delivery. The proposed GVRP model serves as a valuable tool for industries seeking sustainable and cost-effective distribution strategies, with implications for broader advancements in supply chain management.
EDUKASI PENGOLAHAN DAN PEMILAHAN SAMPAH PLASTIK GUNA PENINGKATAN EKOLITERASI ORANG TUA SISWA TK CAHYA MENTARI Hakika, Dhias Cahya; Asih, Hayati Mukti; Biddinika, Muhammad Kunta; Yuwantina, Anissa; Safitri, Anggi; Sugianti, Ardina Fitri
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2013

Abstract

Garbage is identified as objects or materials that are no longer deemed necessary, useful, or wanted, and are often disposed of by individuals or communities. Various sources and categories of garbage and waste exist, which, without proper management, could contaminate soil, water, and air. Implementing educational programs on waste management is crucial to boost community awareness and involvement in mitigating the detrimental effects on environmental and public health. Particularly, enhancing parental awareness of waste is essential for cultivating environmental stewardship in young children. This community service initiative aims to educate parents, especially those of students at TK Cahya Mentari in Semarang District, on the processing and sorting of primarily plastic waste to improve their eco-literacy. The program includes a series of educational and technical guidance sessions that introduce fundamental waste management principles, effective sorting techniques, and the adoption of eco-friendly practices in daily life. This intervention is intended to enable parents to incorporate these practices into domestic routines and to instil environmental consciousness in their children. This program resulted in a significant increase in knowledge, with parents’ understanding improving from 53% to 91.33%. The results from this initiative indicate that the educational efforts have successfully enhanced parental understanding of waste management, thereby contributing to the development of environmental awareness among children at TK Cahya Mentari.
A Comprehensive Review of Optimization Techniques in Industrial Applications: Trends, Classifications, and Future Directions Asih, Hayati Mukti; Mohamad, Effendi; Irianto, Irianto; Ma’arif, Alfian
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13261

Abstract

In recent years, optimization techniques have played a central role in enhancing operational efficiency and decision-making across diverse industrial sectors, including manufacturing, logistics, and transportation, energy, healthcare, and agriculture. These sectors face complex, large-scale, and often nonlinear challenges that demand both precision and adaptability. The research contribution of this review is to provide a structured classification of optimization methods—namely exact algorithms, heuristics, metaheuristics, and AI-integrated hybrid models—and to critically evaluate their practical applications, limitations, and emerging trends across industries. This study adopts a review approach to identify and compare those techniques in solving various optimization problems. Through a detailed analysis of over 30 recent publications for last four years, the review highlights how these techniques are being applied in real-world industrial environments, including cold chain logistics, smart energy systems, precision agriculture, and healthcare scheduling. The results indicate a growing reliance on hybrid and AI-enhanced models due to their superior scalability, adaptability, and potential alignment with Industry 4.0 and Sustainable Development Goals (SDGs). However, challenges remain in areas such as computational efficiency, model interpretability, and real-time data integration. In conclusion, this study provides valuable insights for both researchers and practitioners seeking to apply optimization techniques more effectively in industrial systems, while also identifying critical research gaps for future exploration by addressing the growing complexity and sustainability demands of modern industry.
From Awareness to Action: How Green Marketing Shapes Purchase Intentions for Sustainable Cosmetics Jamal, Fauziyah Nur; Yuniarti, Dini; Asih, Hayati Mukti; Jumbri, Isma Addi; Wibowo, Shaneva Fitria Desta
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 12 No 1 (2025): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v12i1.55786

Abstract

Green marketing has intensified as cosmetic companies compete to project environmentally responsible identities, yet converting awareness into actual purchase remains uneven. This study examines the influence of environmental attitude, green brand image, and green perceived value on green purchase intention, drawing on survey data from 150 Body Shop consumers in Indonesia and analyzed with SEM-PLS. Results show that environmental attitude does not significantly predict intention, while both green brand image and green perceived value exert positive effects. These findings indicate that credible brand signals and tangible value perceptions act as more immediate drivers of intention than generalized attitudes, refining how the attitude–behavior gap is understood in sustainable consumption. The study contributes by highlighting the primacy of image and value in shaping intention and provides managerial implications for firms to emphasize credible positioning and consumer value rather than relying solely on environmental appeals to stimulate sustainable purchasing.
Optimizing lot sizing model for perishable bread products using genetic algorithm Asih, Hayati Mukti; Leuveano, Raden Achmad Chairdino; Dharmawan, Dhimas Arief
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.7172

Abstract

This research addresses order planning challenges related to perishable products, using bread products as a case study. The problem is how to effi­ci­ently manage the various bread products ordered by diverse customers, which requires distributors to determine the optimal number of products to order from suppliers. This study aims to formulate the problem as a lot-sizing model, considering various factors, including customer demand, in­ven­tory constraints, ordering capacity, return rate, and defect rate, to achieve a near or optimal solution, Therefore determining the optimal order quantity to reduce the total ordering cost becomes a challenge in this study. However, most lot sizing problems are combinatorial and difficult to solve. Thus, this study uses the Genetic Algorithm (GA) as the main method to solve the lot sizing model and determine the optimal number of bread products to order. With GA, experiments have been conducted by combining the values of population, crossover, mutation, and generation parameters to maximize the feasibility value that represents the minimal total cost. The results obtained from the application of GA demonstrate its effectiveness in generating near or optimal solutions while also showing fast computational performance. By utilizing GA, distributors can effectively minimize wastage arising from expired or perishable products while simultaneously meeting customer demand more efficiently. As such, this research makes a significant contri­bution to the development of more effective and intelligent decision-making strategies in the domain of perishable products in bread distribution.
Penerapan Metode Life Cycle Assessment (LCA) pada Proses Produksi Downlight Aluminium (Studi Kasus di UPT Logam Yogyakarta) Suhariyanto, Tatbita Titin; Asih, Hayati Mukti; Ichwanuddin, Aziz; Rasyid, Muhammad Izzudin
JITMI (Jurnal Ilmiah Teknik dan Manajemen Industri) Vol. 6 No. 1 (2023): JITMI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jitmi.v6i1.y2023.p10-19

Abstract

Dalam aktivitas produksinya, UPT Logam Yogyakarta menghasilkan limbah dari proses pengecoran alumunium berupa terak yang dapat menimbulkan dampak negatif kepada lingkungan dan masyarakat. Oleh karena itu, tujuan penelitian ini adalah untuk mengevaluasi dampak lingkungan yang ditimbulkan dari proses produksi alumunium di UPT Logam Yogyakarta menggunakan metode Life Cycle Assessment (LCA). LCA merupakan salah satu metode penilaian dampak lingkungan yang terdiri dari empat langkah, yaitu penentuan tujuan dan ruang lingkup, life cycle inventory (LCI), life cycle impact assessment (LCIA), dan interpretasi. Produk downlight lampu dipilih sebagai objek penelitian agar dapat memberikan pemahaman yang mendalam tentang implementasi LCA pada proses pengecoran aluminium. Hasil LCA menunjukkan bahwa penggunaan batang aluminium memberikan dampak terbesar pada semua kategori dengan nilai kategori GWP sebesar 355 kg CO2-eq., kategori AP sebesar 1,32 kg SO2-eq. kategori AP sebesar 0,087 kg Phosphate, kategori ODP sebesar 5,36E-13 kg R11, kategori ADP elements sebesar 1,11E-4 kg Sb, kategori ADP fossils sebesar 3,87E+003 MJ, dan kategori HTP sebesar 1,32E+003 kg DCB. Strategi pengurangan dampak lingkungan dapat dilakukan beberapa cara, yaitu dengan menerapkan produksi bersih dan melakukan pengolahan limbah dengan cara yang benar
Developing Hybrid Simulation Model to Improve Road Traffic Management 123, 123 123; Asih, Hayati Mukti
International Journal of Innovation in Enterprise System Vol. 4 No. 1 (2020): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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

Abstract

Yogyakarta has increasing trends in the number of vehicles and consequently intensifying the traffic volume and will effect to higher emission and air pollution. Traffic lights duration plays a vital role in congestion mitigation in the critical intersections of urban areas. This study has objective to minimize the number of vehicles waiting in line by developing the hybrid simulation method. First of all, the MKJI and Webster method were calculated to determine the green traffic light. Then, the simulation model was developed to evaluate the number of vehicles waiting in line according to different duration of green traffic lights from MKJI and Webster method. A case study will then be provided in Pelemgurih intersection located in Yogyakarta, Indonesia for demonstrating the applicability of the developed method. The result shows that the duration of green traffic lights calculated by Webster method provides lower number of vehicles waiting in line. It is due to the short duration of green traffic light resulted by Webster method so that the traffic light cycle becomes shorter and it effects the number of vehicles waiting in line which is lower than MKJI method. The results obtained can help the generating desired decision alternatives that will important for Department of Transportation, Indonesia to enhance the road traffic management with low number of vehicles waiting in line.
Enhancing logistics efficiency: A case study of genetic algorithm-based route optimization in distribution problem Asih, Hayati Mukti; Rahman, Salsabila Aulya; Usandi, Karisa; Saputra, Qaedi Alwafi E.; Marza, Aziza Della
OPSI Vol 16 No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.8962

Abstract

The optimization of route planning is a critical consideration frequently happened in the logistics of product distribution. This study addresses distribution issues, such as long trip distances, which result in high distribution costs. The objective of this research is to increase distribution routes' effectiveness, which will enable it to reach the minimize distance and lower the cost of product distribution. The Travelling Salesman Problem (TSP) can be resolved by using the Genetic Algorithm (GA) technique to optimize the path. Variations in crossover, mutation, and population were made when experimenting with GA.  The results of the study indicate that the overall distance travelled decreased from 55.5 km to 30.45 km and that the cost of distributing the product was reduced from Rp 94,350.00 to Rp 51,765.00. There is a about 45% improvement. There is about 45% improvement. This optimisation technique has a favourable effect on the overall financial performance and competitiveness of businesses involved in comparable distribution operations, as well as improving operational efficiency and offering the possibility of cost savings.
Management of battery waste recycling by electric motorbike workshops: A literature review Purwani, Annie; Budijati, Siti Mahsanah; Asih, Hayati Mukti
OPSI Vol 17 No 1 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i1.12173

Abstract

Battery waste needs to be managed immediately and thus electric vehicles (EVs) become more popular as a sustainable replacement for internal combustion engine vehicles. This review discusses waste battery recycling industry practices and emphasizes the need for authorized battery management services for electric motorcycles. This gap allows third-party businesses not affiliated with the primary manufacturer to emerge and potentially grow sustainably. The literature review methodology involves an in-depth search of relevant literature using the Scopus database with strategically selected keywords. The VoS Viewer collects, organizes, and graphically maps references to synthesize them orderly. The search initially yielded 138 relevant articles. This number was then narrowed to 66 articles published in English journals. Thirty-nine articles were found when the search was modified to focus on full-text availability. These findings indicate an important need for more targeted research to design effective management frameworks for recycling waste batteries in electric motorbike workshops. All critical components increased waste management awareness and expertise among workshop managers, government policies, funding support, and a well-coordinated supply chain. This assessment identifies barriers to developing a viable battery waste recycling sector and makes recommendations for future policy and research initiatives.
Responding to the potential environmental impact to extend battery life: Preliminary study of informal actors' readiness Annie Purwani; Siti Mahsanah Budijati; Hayati Mukti Asih; Tatbita Titin Suhariyanto; Choirun Nisa
Jurnal Sistem dan Manajemen Industri Vol. 9 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v9i2.10472

Abstract

The increasing number of electric motorcycles in Indonesia has created new challenges related to battery waste management, potentially impacting human health, the environment, and resource scarcity. This study aims to assess the potential life cycle impacts of a 1.0 kWh electric motorcycle battery product system under repair treatment for two widely used battery types: NMC and LFP. The study used a Life Cycle Assessment (LCA) method with gate-to-gate assessment. The assessment results for both battery types with repair treatment had the greatest impact on the midpoint of freshwater eutrophication. Based on the normalized results of the five impact categories assessed, the repair treatment on LFP type batteries showed better environmental performance than the NMC type. The balancing process was found to have the greatest environmental impact for both battery types. This study confirms that recycling management by informal actors is a significant solution. The repair treatment solution contributes to providing benefits in extending the battery life cycle and does not have the potential for significant environmental impacts.
Co-Authors 123, 123 123 Alfian Ma’arif Andriansyah, Revaldo Annie Purwani Annur Rahman ARDIANSYAH ARDIANSYAH Astuti, Fatma Hermining Aulia, Viola Lulu Auliya, Ayu Intan Afiani Choirun Nisa Chong Kuan Eng Dedi Adi Saputra Dedi Adi Saputra Dharmawan, Dhimas Arief Dhias Cahya Hakika Dini Yuniarti Firmansyah, Fahri Ichwanuddin, Aziz Ihwan Ghazali Ikhwan Nur Afiq Ikhwan Nur Afiq Ina Maryani Ina Maryani Irianto Irianto Irvan Kristanto Isana Arum Primasari Jamal, Fauziyah Nur Jumbri, Isma Addi Lee Mei Ph'ng Leuveano, Raden Achmad Chairdino M. Fajrul Fallah Marza, Aziza Della Mohamad, Effendi Mohammad, Effendi Bin Muhammad Candra Ramadhan Muhammad Faishal Muhammad Faishal Muhammad Faishal Muhammad Fajrul Falaq Muhammad Kunta Biddinika Muhammad Noor Arfan Okka Adiyanto Rahman, Annur Rahman, Salsabila Aulya Rasyid, Muhammad Izzudin Ridho, Muhammad Ihsan Rosyady, Phisca Aditya Safitri, Anggi Saputra, Qaedi Alwafi E. Solikhah, EfA Wakhidatus Sugianti, Ardina Fitri Suhariyanto, Tatbita Titin Syifa Fitriani Syifa Fitriani Tatbita Titin Suhariyanto Tatbita Titin Suhariyanto Suhariyanto Tri Budiyanto Usandi, Karisa Wibowo, Shaneva Fitria Desta Wijaya, Kenedy Yuwantina, Anissa