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All Journal Majalah Forum Teknik UGM Jurnal Teknoin Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknosains Journal of Engineering and Technological Sciences Majalah Kedokteran Gigi Indonesia Seminar Nasional Informatika (SEMNASIF) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Sistem Cerdas IJIES (International Journal of Innovation in Enterprise System) Journal of Appropriate Technology for Community Services Jurnal E-Komtek Buletin Profesi Insinyur JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) TIERS Information Technology Journal International Journal of Industrial Engineering and Engineering Management Journal of Material Processing and Characterization (JMPC) JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi Applied Science and Technology Research Journal Dinamika Kerajinan dan Batik: Majalah Ilmiah
Muhammad Kusumawan Herliansyah
Department Of Mechanical And Industrial Engineering, Faculty Of Engineering, Universitas Gadjah Mada. Jl. Grafika 2, Yogyakarta 55281, Indonesia
Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Operating Room Scheduling Optimization Under Surgeon and Nurse Constraints Using Genetic Algorithm Swilugar, Ayu; Herliansyah, Muhammad Kusumawan
TIERS Information Technology Journal Vol. 6 No. 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.7164

Abstract

Operating room scheduling is a complex problem due to the limited availability of surgeons, nurses, and operating rooms, as well as the variability in surgery durations. Inaccurate predictions or scheduling may cause conflicts such as overlapping surgeon schedules, violations of contamination level restrictions, and unavailability of nurses or rooms, ultimately reducing the quality of hospital services. This study integrates multiprocedure surgery duration prediction using machine learning with scheduling optimization based on genetic algorithms. The prediction model considers the American Society of Anesthesiologists (ASA) physical status classification, patient profiles, and sets of surgical procedures variables. Scheduling optimization employs a lexicographic approach with three main objectives: minimizing patient waiting time, nurse overtime, and operating room idle time, while ensuring surgeon presence during critical phases and nurse availability according to shifts. The results show that the Catboost algorithm achieves the best prediction performance. Incorporating the ASA variable reduces prediction errors by 33.880 minutes in MAE and 55.575 minutes in RMSE compared to model without the ASA feature. The optimization model successfully eliminates all scheduling conflicts, ensuring full compliance with medical procedure constraints. Recovery bed utilization remains efficient, with a maximum of five units used, representing less than 50% of the total capacity.
New Product Development Method Trends and Future Research : A Systematic Literature Review Khannan, Muhammad Shodiq Abdul; Tontowi, Alva Edi; Herliansyah, Muhammad Kusumawan; Sudiarso, Andi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.11-24

Abstract

Research on new product development (NPD) has led to tools, methods, models, and frameworks that enable researchers to develop better products. However, a comprehensive review of the methods, models and frameworks related to NPD is lacking. This literature study aims to identify research trends, methods, and frameworks used in NPD between 2010 and 2019. A systematic literature review is conducted by developing a structured research protocol. An analysis of 50 selected papers shows that research on NPD can be categorized into 15 conceptual papers, six review papers, 28 case studies, and one survey paper. This paper provides an overview of each tool and presents future research opportunities. This paper concludes that future research can be directed toward combining several methods to design products that satisfy consumer desires with shorter design times, aspects of NPD collaboration, and aspects of changing consumer preferences.
Waste evaluation in chocolate powder production using a lean manufacturing approach Jessica Vyanti; Muhammad Kusumawan Herliansyah
Jurnal Teknosains Vol 15, No 2 (2026): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.109330

Abstract

Nglanggeran Village, located in Gunungkidul Regency, Yogyakarta, has substantial potential for the development of the local cocoa industry. Cocoa production in this village is integrated and managed by Griya Cokelat Nglanggeran, a community-based enterprise that focuses on processing cocoa beans into various derivative products. Despite its strong potential, the production process still faces several inefficiencies, particularly in the cocoa powder manufacturing stage. These inefficiencies hinder productivity and reduce overall process effectiveness. To address these challenges, this study applies the Lean Manufacturing approach, which emphasizes waste reduction and value enhancement throughout the production chain. Specifically, the research utilizes Value Stream Mapping (VSM) and Process Activity Mapping (PAM) to systematically visualize the production flow, identify non-value-added (NVA) activities, and analyze existing sources of waste. In addition, Fishbone Diagram, Failure Mode and Effect Analysis combined with Simple Additive Weighting (FMEA-SAW), and Fault Tree Analysis (FTA) are employed to trace the root causes of inefficiencies and propose prioritized improvement strategies based on risk levels. The findings indicate that, of the entire set of observed production activities, 196 were classified as waste, while only 24 contributed direct value. Among the seven types of waste, motion and transportation were identified as the most dominant, leading to the need for improvements in workspace layout and material handling management. After implementing corrective measures derived from the analytical results, the total duration of NVA activities decreased significantly from 3,059,830 seconds to 261,301 seconds, representing a 76.98% improvement in process efficiency relative to the total production time. These findings demonstrate that the application of Lean Manufacturing tools can significantly optimize cocoa powder production at Griya Cokelat Nglanggeran, while also providing a feasible model for other small-scale agro-industry enterprises seeking sustainable operational efficiency.
Co-Authors Agus Darmawan Alva Edy Tontowi Andi Sudiarso Andi Sudiarso Sudiarso Andi Sudiarso, Andi Andrean Emaputra Avin F Helmi Banu Santoso Bertha M Sopha Brilianti, Grahita Prisca Budi Hartono Denny Sukma Eka Atmaja Deny Ratna Yuniartha Dhananjaya Yama Hudha Kumarajati Dian Permata Sari Djorgie, Thomas Dwi Handayani Dyah Rahmawati Hizbaron Eti Nurwening Sholikhah Fitri Trapsilawati Hamidi, Rifqi Restu Herianto Herianto . Herianto Herianto Husain, Fakhril Isananto Winursito Isananto Winursito, Isananto Jessica Vyanti Joko Waluyo Joni Setiawan Joni Setiawan Kurniawanti Kurniawanti Kurniawanti Kusmono Muhammad Shodiq Abdul Khannan Nilasary Rochmanita Suparno Nirmala, Andita Nugroho, Yohanes Nur Aini Masruroh Nur Mayke Eka Normasari Pratama, Dhika Wahyu Putri Akhmad Yani, Ameliyana Rizky Syamara Rifki Moechtar Riska Yunita Ayu Wulandari Wulandari Siti Sunarintyas Subagyo Subagyo Subagyo Subagyo Suryo Purwono Swilugar, Ayu Taufik, Ikhwan Teguh Ariyanto Wangi Pandan Sari Yuli Agusti Rochman Zainal Imron Hidayat