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All Journal Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan Journal of Robotics and Control (JRC) International Journal of Industrial Optimization (IJIO) Plexus Medical Journal
Ridho, Muhammad Ihsan
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health

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Balancing Inventory Management: Genetic Algorithm Optimization for A Novel Dynamic Lot Sizing Model in Perishable Product Manufacturing Leuveano, Raden Achmad Chairdino; Asih, Hayati Mukti; Ridho, Muhammad Ihsan; Darmawan, Dhimas Arief
Journal of Robotics and Control (JRC) Vol 4, No 6 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i6.20667

Abstract

In Indonesia, the significant role of perishable products in food wastage has placed the country fourth globally in household food waste. Managing inventory for such products, with their short shelf life and stringent safety standards, emphasizes the need for efficient lot sizing planning. This study introduces a novel Dynamic Lot-Sizing (DLS) model, addressing perishable products and inventory constraints across multiple products, periods, and varying demands. The model aims to optimize production quantity and binary production, minimizing overall system costs. Employing a Genetic Algorithm (GA), this research solves the DLS model under constrained and unconstrained inventory capacities. Real-case data from a bread manufacturing company validates the model, while sensitivity analysis examines perishability's impact on the solution and model performance. The DLS-GA model not only reduces system costs but also effectively considers product perishability, offering optimal production plans.
Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach Leuveano, Achmad Chairdino; Kasih, Puji Handayani; Ridho, Muhammad Ihsan; Lisan, Ahmad Rif’an Khoirul; Muhamed , Ariff Azly; Rafique , Muhammad Zeeshan
International Journal of Industrial Optimization Vol. 5 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v5i1.9251

Abstract

Developing a Multi-Maximal Covering Location Model (MMCLM) for waste management in Gondokusuman Sub-district, Yogyakarta, Indonesia, is urgently needed. The closure of the Piyungan landfill has resulted in the need for additional Reduce, Reuse, and Recycle Waste Management Sites (3R-WMSs) to reduce waste that the landfill cannot accommodate. The primary objective of this model is to optimize the location and allocation of demand volume nodes, representing the resident population, to a specific set of 3R-WMS. These demand nodes are located at different distances from 3R-WMSs, including high and low coverage areas. The research in the Gondokusuman Sub-district employed MMCLM with facility capacity constraints and was developed using mixed integer linear programming methodology. The study identified five optimal locations for a 3R-WMS establishment that comprehensively cover all demand nodes (15301) and population clusters (45903) in the sub-district, including both high (5085) and low coverage areas (10216). This research represents a significant step forward in developing a sustainable environment by ensuring easy access to reducing, reusing, and recycling-based waste management facilities for residents.
Hubungan Tingkat Stres dan Kualitas Tidur dengan GERD pada Mahasiswa Kedokteran Universitas Sebelas Maret Ridho, Muhammad Ihsan; Agung, Ratih Arianita; Darmayani, Aritantri
Plexus Medical Journal Vol. 4 No. 2 (2025): April
Publisher : Fakultas Kedokteran, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/plexus.v4i2.798

Abstract

Pendahuluan: Gastroesophageal reflux disease (GERD) adalah penyakit gastrointestinal kronis yang secara signifikan mengurangi kualitas hidup dan pada beberapa pasien menyebabkan komplikasi yang serius. Mahasiswa kedokteran adalah sekelompok mahasiswa dengan tingkat stres yang sangat tinggi, dan kelelahan terkait pekerjaan yang menyebabkan gangguan tidur, termasuk kurang tidur, kualitas tidur yang buruk, dan kantuk di siang hari. Sampai sekarang belum banyak penelitian multivariat yang meneliti hubungan tingkat stress dan kualitas tidur dengan kejadian GERD. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat stres dan kualitas tidur dengan kejadian GERD pada mahasiswa kedokteran Universitas Sebelas Maret. Metode: Penelitian ini adalah penelitian observasional analitik dengan pendekatan cross sectional. Sampel penelitian berjumlah 90 orang responden yang telah memenuhi kriteria inklusi dan ekslusi. Pengambilan sampel dilakukan dengan teknik total sampling. Data yang diperoleh dianalisis secara bivariat dengan menggunakan uji koefesien kontingensi dan secara multivariat dengan menggunakan uji regresi logistik. Hasil: Hasil penelitian ini menunjukkan hubungan yang signifikan antara tingkat stres (p < 0,001) dan kualitas tidur (p = 0,042) dengan kejadian GERD. Berdasarkan hubungan dengan kejadian GERD (p<0,001). Kesimpulan: Tingkat stres dan kualitas tidur secara parsial dan simultan memiliki hubungan dengan kejadian GERD. Tingkat stres diketahui memiliki hubungan yang lebih bermakna dengan kejadian GERD jika dibandingkan dengan kualitas tidur.
ANALYSIS OF OCCUPATIONAL HEALTH AND SAFETY ON MALANG RAPAT VILLAGE FISHERMEN GROUP Satriadi, Satriadi; Ridho, Muhammad Ihsan; Habibi, Umi; Usada, Julaika Fira; Martin, Diana
Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan Vol 15, No 1 (2025): JUNI 2025
Publisher : Balai Besar Riset Sosial Ekonomi Kelautan dan Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jksekp.v15i1.15133

Abstract

This research aim to analyzed that the health and work safety of the fishermen group in Tanjung Keling Village, Malang Meeting has not been optimal, this can be seen from the indicators of occupational health and occupational safety, each of which has sub-indicators, namely in work safety, the sub-indicators are the physical work environment and the social environmentWork continuity at the fishermen group in Tanjung Keling Village, Malang Rapat. The method used in this study is qualitative method, In this study the population was 15 people then the sample used in the study was as many as 5 people.  The method in this study is qualitative. Data analysis techniques use qualitative descriptive analysis techniques, then in this study to test the credibility of the data is carried out using triangulation techniques Based on the results of the study, it is known that the application of health and work safety in fishermen groups In Tanjung Keling Village, Malang Village, Meeting has not gone well, this can be due to the absence of placement of objects or items carried out as signs, boundaries, and warnings that are sufficient during fishermen's fishing, such as the depth of the coral sea and so on, many are missingFishermen admit that the rest of these danger signs, coral marks and so on they already know naturally, there used to be, but now there are none, there used to be pairs of lights, but now there are no more. Health services are very minimal, labor health facilities are still urang or even non-existent, only the initiative of the group leader to check his members regularly to the puskemas. There is no insurance for fishermen. Health services are also only limited to auxiliary health centers
Co-Authors Agung, Ratih Arianita Asih, Hayati Mukti Darmayani, Aritantri Dharmawan, Dhimas Arief Habibi, Umi Leuveano, Achmad Chairdino Leuveano, Raden Achmad Chairdino Lisan, Ahmad Rif’an Khoirul Martin, Diana Muhamed , Ariff Azly Puji Handayani Kasih Rafique , Muhammad Zeeshan Satriadi, Satriadi Usada, Julaika Fira