Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

6.326

P-Index

This Author published in this journals

All Journal Jurnal Teknik Industri Jurnal Gamma Jurnal Rekayasa Sistem Industri SPEKTRUM INDUSTRI Journal of Engineering and Management in Industrial System Jurnal Optimasi Sistem Industri Journal Industrial Servicess Jurnal Ilmiah Teknik Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri Jurnal Ilmiah Universitas Batanghari Jambi PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal SOLMA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya KOMPUTEK JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Otopro Buletin Profesi Insinyur JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Journal of Economic, Business and Engineering (JEBE) JURNAL TEKNIK INDUSTRI Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE) PERFORMA : Media Ilmiah Teknik Industri

Annisa Kesy Garside

Fakultas Teknik, Jurusan Teknik Industri, Universitas Muhammadiyah Malang

Author-ID : 268780

Agriculture, Biological Sciences & Forestry 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 88 Documents Claim Missing Document

Claim Missing Document

Articles

5 6 7 8 9

Rancang Bangun Alat Deteksi Cepat Kualitas Air Bersih Berbasis Internet of Things Bachri, Affan; Garside, Annisa Kesy; Junaidi, Mahbub; Laksono, arief Budi; Santoso, Eko Wahyu
KOMPUTEK Vol. 9 No. 2 (2025): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v9i2.3372

Water is one of the primary needs essential for all living beings. In daily life, water is not only used for drinking but also for bathing, washing clothes, irrigating agricultural fields, and various other activities. However, current water resources, both in terms of quantity and quality, are increasingly unable to meet rising demands. The quality of water for daily use has also deteriorated significantly. The increasing annual demand for water is driven by population growth and the fact that almost every human activity requires water. The diversity of human activities has led to rising water pollution, which is one of the major factors contributing to the decline in the availability of clean water. To address this, a device capable of monitoring water quality is proposed. This tool is equipped with turbidity sensors, DS18B20 temperature sensors, and pH sensors, all controlled by an ESP 32 microcontroller and connected via the Internet of Things (IoT). Through this system, real-time water quality monitoring becomes feasible, enabling more optimal and efficient water utilization.

Usulan Peningkatan Efektivitas Mesin Multi Bor dengan Menggunakan Metode Overall Resource Effectiveness dan Failure Mode Effect Analysis Sanjaya, Wahyu Eka Putra; Wardana, Rahmad Wisnu; Sanjaya , Wahyu Eka Putra; Garside, Annisa Kesy; Wardana , Rahmad Wisnu
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6520.69-78

PT XYZ is a company engaged in the wood industry which is marketed for export. In carrying out the production process losses often occur in multi drill machines thereby reducing the effectiveness of the machine. These losses arise because the machine is often adjusted and experiences breakdowns. Therefore, this study will analyze the effectiveness of the multi drill machine using the Overall Resource Effectiveness (ORE) method. Furthermore, fishbone diagrams, Failure Mode Effect Analysis (FMEA), and Total Productive Maintenance will be used as a method for providing improvement suggestions to increase machine effectiveness. From the calculation results, the ORE value is 59.58% (below the standard, which is 85%). Furthermore, by using the fishbone and FMEA methods, 3 failure modes with the largest RPN values were taken. Proposed improvements to increase the effectiveness of multi-bore machines are the application of autonomous maintenance, quality maintenance, preventive maintenance, and provision of safety stock.

Identifikasi Air Tanah Berbasis Model Struktur Geologi dengan Metode Geolistrik Darmawan, Azhar Adi; Garside, Annisa Kesy; Setyono, Ernawan; Saleh, Chairil
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.6018

The aim of this research is to identify groundwater based on geological structure models using geoelectric methods in Purwosekar Village, Tajinan District, Malang Regency. The technology used in this research is the geoelectric resistivity method which helps identify rock structures and deep groundwater potential. The findings showed that the recommended drilling point was with a discharge of around 5.6 L/sec. At this location there is rock lithology consisting of topsoil, tuff, sandy tuff and lava.

Integration of Lean Six Sigma and Theory of Inventive Problem Solving for Minimizing Waste in Shuttlecock Industry Renggarsari, Rika Risma; Garside, Annisa Kesy; Rosiani, Tyas Yuli; Saputro, Thomy Eko
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23012

In today's competitive business world, organizations are striving to improve their operations and stay ahead. Lean Six Sigma is a popular approach that helps optimize processes and reduce waste. This research focuses on using Lean Six Sigma and TRIZ together to reduce waste in the shuttlecock industry. The study uses a structured process and tools like Value Stream Mapping and Fault Tree Analysis to find and solve waste issues. The results show problems like unnecessary activities, delays, and defects in the production process. Using TRIZ, suggestions for improvements are made based on the analysis. This study shows that combining Lean Six Sigma and TRIZ can effectively reduce waste and improve processes. The findings add to our understanding of using these methods in the shuttlecock industry and offer insights for future research and improvements.

Strengthening MSME Products Through Legal Compliance, Brand Management, and Improved Packaging Design: Penguatan Produk UMKM Melalui Pemenuhan Unsur Legalitas, Manajemen Merek, dan Perbaikan Desain Kemasan Amallynda, Ikhlasul; Lukman, Muhamad; Garside, Annisa Kesy
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 6 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i6.14427

The Pengabdian kepada Masyarakat (PkM) program is aimed at MSME business actors who receive assistance from the Malang district PDA, particularly those in the Lawang subdistrict and its surroundings. Currently, business actors are in the pre-startup (8.4%) and startup (32.7%) stages. This means that many small micro businesses have only recently begun or restarted operations following the COVID-19 pandemic. MSME actors face a variety of challenges, including difficulties in competing in the market, unfamiliarity with brand management and e-commerce strategies, a lack of MSME product legality permits, and a lackof good packaging label design. As a result, the opportunity for MSMEs to enter online and offline markets is being overlooked because industrial product quality cannot be separated from brand image and legal permits. The service program includes several activities, including dissemination of industrial product legality and standardization, assistance in submitting permits for the standard legality of industrial products, and assistance in creating product labelsand packaging designs.

Intuitionistic Fuzzy AHP and WASPAS to Assess Service Quality in Online Transportation Annisa Kesy Garside; Rara Putri Ayuning Tyas; Rahmad Wisnu Wardana
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Indonesia is currently entering a new normal era; this requires people to adapt to the clean-living habit in accordance with health standards in order to carry out normal activities. At the same time, online transportation services have reopened for activity. The service quality provided by online ride-hailing companies (i.e., ojek) such as Gojek, Grab, and Maxim must now consider matters relating to user safety. This study proposes Multi Criteria Decision Making (MCDM) as a method for assessing the service quality of online transportation service providers and uses the Pandemic-SERVQUAL 4.0 model. Pandemi-SERVQUAL 4.0 model adds two new criteria, namely "pandemic" and "industry 4.0". The addition of two new criteria that are more relevant to the current circumstances will increase the accuracy of the research. This study aims to propose the integration of Interval Valued Intuitionistic Fuzzy Analytical Hierarchy Process (IVIF-AHP) to determine the criteria weight and Interval Valued Intuitionistic Fuzzy Weighted Aggregated Sum-Product Assessment (IVIF-WASPAS) to assess the service quality of several online transportation service providers based on the obtained criteria weights. From the results of the service quality assessment using the integration of IVIF-AHP and IVIF-WASPAS, the ranking of online transportation service providers during the new normal era were Grab-car, Go-car, and Maxim-car.

Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM Annisa Kesy Garside; Tyas Yuli Rosiani; Adelya Amanda; Thomy Eko Saputro; Eduardo e Oliveira
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Sustainable manufacturing has emerged as a critical priority in addressing the complex environmental, social, and economic challenges of modern industry. This study focuses on the plywood sector, a signiﬁcant contributor to manufacturing, which faces distinct sustainability issues such as high energy consumption, material ineﬃciencies, and hazardous working conditions. To address these challenges, the research introduces workload and noise level as critical indicators for assessing sustainability, broadening the scope of traditional evaluation methods. A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traﬃc Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). Applied to a plywood manufacturing case study, the framework highlighted areas requiring improvement, particularly in worker well-being and operational safety, while demonstrating the industry's moderate overall eﬃciency. By oﬀering actionable insights for improving resource use, operational processes, and employee conditions, this framework provides a practical tool for industry managers aiming to enhance sustainability. Furthermore, its adaptability makes it a valuable reference for other manufacturing sectors seeking to implement resource-eﬃcient and sustainable practices. This research not only ﬁlls critical gaps in sustainability assessment but also contributes to advancing industry practices by emphasizing holistic and innovative approaches to manufacturing eﬃciency.

Integration of Analytic Network Process and PROMETHEE in Supplier Performance Evaluation Muhammad Alif Ihsan; Annisa Kesy Garside; Rahmad Wisnu Wardana
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in April 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n1.p46-54.2022

Supplier performance evaluation is one of the important factors in the supply chain because it is one of the company's strategies for increasing customer satisfaction and also maintaining the company's services in meeting consumer demand. This study proposes the integration of the Analytic Network Process (ANP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to evaluate supplier performance. The integration of the two methods is proposed to obtain more complex assessment results because the combination of the two methods considers various criteria derived from ANP and various preferences from PROMETHEE, so both methods are very good to use instead of using just ANP or PROMETHEE or other methods. ANP exhibit more complex relationships between criteria and levels in the decision hierarchy, while PROMETHEE provides decision-makers with flexible and straightforward outranking to analyze multi-criteria problems. In this study, ANP is used to weight the criteria, and PROMETHEE is used to rank suppliers in evaluating supplier performance. Integrating these two methods provides more objective and accurate results in multi-criteria decision-making. The proposed method is validated by solving an industrial case of supplier evaluation problem using the real data from the skewer industry. Finally, some useful implications for managerial decision-making are discussed.

Particle Swarm Optimization Algorithm to Solve Vehicle Routing Problem with Fuel Consumption Minimization Baiq Nurul Izzah Farida Ramadhani; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in April 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total vehicles’ traveling distance. Since the fuel cost is a relatively high component of transportation costs, in this study, the objective function of VRP has been extended by considering fuel consumption minimization in the situation wherein the loading weight and traveling time are restricted. Based on these assumptions, we proposed to extend the route division procedure proposed by Kuo and Wang [4] such that when one of the restrictions can not be met the routing division continues to create a new sub-route to find an acceptable solution. To solve the formulated problem, the Particle Swarm Optimization (PSO) algorithm is proposed to optimize the vehicle routing plan. The proposed methodology is validated by solving the problem by taking a particular day data from a bottled drinking water distribution company. It was revealed that the saving of at best 13% can be obtained from the actual routes applied by the company.

Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika Dana Marsetiya Utama; Leo Rizki Ardiansyah; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v18.n2.p133-141.2019

Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.

Co-Authors Adelya Amanda Adhi Nugraha Adhi Nugraha Ahmad Zamawi Ghozali Alfian Alif Amelia Khoidir Andita Nataria F.G. ANDRI SULAKSMI ANDRI SULAKSMI, ANDRI Anindia Karunia Pangesti Aprilianti, Chusnul Arief Hidayat Ayunani, Denisa Indah Azhar Adi Darmawan Bachri, Affan Baiq Nurul Izzah Farida Ramadhani Baiq Nurul Izzah Farida Ramadhani Bayaâ€™sud, Faris Cahyanti, Dian Nur Chairil Saleh Chusnul Aprilianti Dana Marsetya Utama Dian Nur Cahyanti Dian Palupi Restuputri Dinda Finandita Putri Eduardo e Oliveira Ella Dewi Krisnanti Elya Rosiana Ernawan Setyono Fenny Rubbayanti Dewi Ferly Isnomo Abdi Fibriani, Lenny Firman Yasa Utama FITHRIANY HADZIQAH FITHRIANY HADZIQAH, FITHRIANY Fitra Risaldi Fuad Bahrul Ilmi Gigih Amayu Pragastio Gilang Maulana Akbar Hanny Kanavika Rizky Munawar Harto, Setyo Hasyim Yusuf Asjari Hasyim Yusuf Asjari, Hasyim Yusuf Heri Mujayin Kholik Hidayati , Nur Ikhlasul Amallynda Ikhlasul Amalynda Irianto , Sugeng Iswanda, Dovian Junaidi, Mahbub Kristiawan , Timotius Anggit Laili, Nabila Rohmatul Laksono, Arief Budi Lapele, Sukmawati Leo Rizki Ardiansyah Lukman, Mohammad Marrica Ahmad Marrica Ahmad Martina Juan Martina Juan, Martina Melvy Wattimena , Riles Mohammad Irfan Mohd Nabil Bin Muhtazaruddin Muhamad Lukman Muhammad Alif Ihsan Muhammad Helmi Kurniawan Munawar, Hanny Kanavika Rizky Nabila Rohmatul Laili Nadia Mardhiyah Nasution, Riven Nyimas Mirnayanti Jayasari Sutadisastra Ode Rapija Gunarimba Waibo Pangesti, Anindia Karunia R. Hadi Wahyuono R. Hadi Wahyuono Rachman, Hamim Rahmad Wisnu Wardana Rara Putri Ayuning Tyas Renggarsari, Rika Risma Riven Nasution Sabrina Legtria Wardani Safitri, Wa Ode Nadhilah Sanjaya , Wahyu Eka Putra Sanjaya, Wahyu Eka Putra Santoso, Eko Wahyu Satya Sudaningtyas Satya Sudaningtyas Selsa Ulfia Siswanti Setiyawan, Trio Setya Pratama, Mahendra Setyo Harto Shanty Kusuma Dewi Teguh Baroto Thomy Eko Saputro Tiananda Widyarini Tiananda Widyarini Tyas Yuli Rosiani Tyas Yuli Rosiani Wahyu Asry Ningtias, Dieta Wahyu Wicaksono Wardana , Rahmad Wisnu

Title

Found 88 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 88 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 88 Documents
Search