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All Journal Jurnal Teknik Industri Jurnal Rekayasa Sistem Industri Abdimas Industrial and Systems Engineering Assessment Journal (INASEA) JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Journal Industrial Servicess Jurnal Ilmiah Teknik Industri Jurnal IPTEK Jurnal Sistem dan Manajemen Industri Jurnal Penelitian Pendidikan IPA (JPPIPA) MITRA: Jurnal Pemberdayaan Masyarakat JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Bakti Masyarakat Indonesia International Journal of Industrial Engineering and Engineering Management MANASA, Jurnal Ilmiah Psikologi Pharmacy Reports Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi
Christine Natalia
Program Studi Teknik Industri, Fakultas Teknik Universitas Katolik Indonesia Atma Jaya, Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Analisis dan Implementasi Simulasi Monte Carlo untuk Prediksi Kebutuhan Gula berdasarkan Penjualan Bumbu Tabur XYZ Oktavia, Chendrasari Wahyu; Natalia, Christine; suprata, Ferdian; Hindratmo, Astria
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2494

Abstract

The sales activity is a very important activity for the development and sustainability of a company. The sales are closely related to the requirement of raw material. By knowing the number of sales, a company can do estimate the amount of raw material required for production. However, so far still be found as a company that has its policies to determine a requirement of raw material as impact not use a raw material control method. The research purpose to determine the amount of sugar raw material requirement based on results number of sales seasoning XYZ with Monte Carlo simulation. Based on the analysis of data processing results. It was found that the number of sales from the simulation results in 2019 was quite high compared to the sales results during 2018 where the difference in sales simulation in 2019 and real data in 2018 was 62,334 kg. In terms of sugar supply, the total requirement for sugar in 2019 is also quite high, namely 186,756 kg, or the difference in requirement between simulation results and real data is 21,818 kg. This shows that the amount of requirement is directly proportional to sales.
INTEGRASI MODEL HOUSE OF RISK DAN ANALYTICAL NETWORKING PROCESS (ANP) UNTUK MITIGASI RISIKO SUPPLY CHAIN Natalia, Christine; Oktavia, Chendrasari Wahyu; Makatita, Welhelmina Vince; Suprata, Ferdian
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 01 (2021): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i01.2619

Abstract

Currently, the resilience of the company is not separated from the strength supply chain network. Without this network, so the business process will not run well. But the strong supply chain network became vulnerable to risk. It caused by complexity and a highly dependent supply chain network. These risks need to minimize. The method that can be used to minimize risk with integrating the house of risk method and Analytical Network Process. The purpose of these integration methods to identification and recognized interrelationships between risk agent’s mitigation strategies, so the effect of event risk can be reduced. And then, by looking strategies can reducing costs incurred by the company and efficiency of risk agent’s mitigation strategy. Based on the results of House of Risk stage 1, there are 25 causes of risk that need to mitigate. The risk mitigation strategies that obtained to minimize the causes of risk, are then processed by the Analytical Networking Process (ANP) method. Based on the results of the Analytical Networking Process (ANP) method, there are two risk mitigation strategies. House of Risk stage 2 has applied to measure the efficiency and the level of difficulty of these two risk mitigation strategies. The results showed that the best mitigation strategies are conducting training and measuring company’s performance.
Perbandingan Analisis Keputusan dalam Penentuan Lokasi Gudang Angkatan Laut Wilayah Barat Oktavia, Chendrasari Wahyu; Natalia, Christine; Ratanadewi, Steffi; Gunawan, Sherly
Metris: Jurnal Sains dan Teknologi Vol. 19 No. 01 (2018): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

The development of a company is always related to its supporting facilities’ location, for instance, warehouse location. Usually, company choose the most strategic one to minimize its transportation cost, distribution route and time. As the result, it is clear that warehouse location determination is the key to company’s success in delivering consumer needs. Location determination is not only used in manufacturing problem, but it is also can be used in national defense problem, which is the case study of this research: Western Sea Sector Indonesian Navy. In national defense, national and regional development are important factors for maximizing Indonesian Navy’s strength. As an example, logistics capability improvement. Logistics is one of the most important parts to support warships in doing their maritime operations. So, strategy of determinating the best warehouse location is very crucial to make sure the distribution of goods went smoothly. This research uses Multi Criteria Decision Making (MCDM) as a method to solve location determination problem. Using a study case from main literature by Gunawan et al (2018), this research does another two methods for problem solving, they are Fuzzy Simple Additive Weighting (F-SAW) and Fuzzy Analytical Hierarchy Process (F-AHP). The main purpose of this research is to compare Fuzzy MCDM method, which is used by Gunawan et al (2018), with F-SAW and F-AHP which is calculated in this research. Result shows that Naval Base III is the best location from Fuzzy MCDM and F-AHP, but the best location from F-SAW method is Naval Base I.
Penerapan Model Green SCOR untuk Pengukuran Kinerja Green Supply Chain Natalia, Christine; Astuario, Robertus
Metris: Jurnal Sains dan Teknologi Vol. 16 No. 02 (2015): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Advances in science and technology that have an impact on the environment resulting in increasing human awareness of the condition of the environment, for example in the selection and use of environmentally friendly products. This requires businesses to apply the concept of environmental concerns in their business process, including the entire supply chain. Green supply chain management is a concept that integrates environmental thinking into supply chain management, which includes product design, procurement and selection of raw materials, manufacturing processes, delivery of final products to consumers, in addition reverse products used by consumers. This study aims to measure the performance of Green Supply Chain Management in the supply chain of a manufacturing industry. Performance measurement was conducted on the two main processes, namely the design of performance measurement model and weighting and scoring performance. This study uses a Green SCOR (Supply Chain Operations Reference) model to design the measurement model and AHP (Analytical Hierarchy Process) method to determine its weight. There are 16 KPIs (Key Performance Indicator) identified for use in performance measurement. Value performance indicators obtained for each aspect are as follows: Plan for 68, Source of 66.54, Make amounted to 58.89, Delivery of 32.80, and Return As much as 56.85. Referring to the model that is created, the value of the overall supply chain performance amounted at 60.13. Under the statutes of the company, the value is considered sufficient because it includes criteria for good performance, but it was on the threshold between good and bad categories. Continuous improvement in the supply chain by using a model Green SCOR will improve the company's performance, enhance corporate image and ultimately promote environmental sustainability for the future of mankind.
Desain Rute Pelayaran Sistem Hub and Spoke (Studi Kasus: Wilayah Papua, Indonesia) Natalia, Christine
Metris: Jurnal Sains dan Teknologi Vol. 17 No. 02 (2016): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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Abstract

Currenctly Indonesia’s government policy is focusing on designing its marine transportation and port development for logistics distribution in Indonesia to take advantage of the sea lanes. This maritime transportation concept that called sea highway is a strategy to improve connectivity and revitalize national logistic system thoroughly, in the form of organizing a scheduled big vessel regularly from western to eastern Indonesia and vice versa. One of the route is a sea highway towards Papua. This route starts from the port of Tanjung Perak that carry goods to be distributed to other ports, including the port of Manokwari (Papua). Distribution of goods in Papua region is largely use airlines and some use the sea transport. The distribution pattern by ship in Papua using "point to point" pattern . This pattern of distribution is sending goods from one point to another without regard to the overall network shipping, causing the logistics’ cost to be expensive due to the inequality in the distribution. The purpose of this study is to design the sea shippingnetworkfor distribution of goods in Papua with the distribution pattern of "hub and spoke". The design of this sea shipping network using 11 ports comprising 3 hub ports and 8 feeder ports in Papua. This study resulted routes that can deliver the goods from hub port to the spokes and vice versa with optimal total distance and cost. The design of routes using a Genetic Algorithm with the help of software Matlab in order to produce either an optimal hub and spoke and a minimum cost for its network.
Risk Mitigation on Metalworking Oil & Fluids Business Process by Integrated House Of Risk (HOR) and Fishbone Diagram Approach Natalia, Christine; Oktavia, Chendrasari Wahyu; Silaban, Sonia Artha Ria; Surbakti, Feliks Prasepta Sejahtera
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 02 (2021): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i02.3040

Abstract

Business processes take an essential role in creating strategic goals for every company. However, It is not easy things in current condition. In the business process, every company has many vulnerable activities to risk. This research was conducted in the company engaged in the manufacturing industry that produces and supplies metalworking oils & fluids. So far, the company has experienced risk events such as late production and late delivery. This research aims to analyse and design the risk mitigation strategies of the company’s supply chain by using House of Risk and Fishbone Diagram approaches. By integrating these two methods, the root of the risk agent can be specifically identified and make it easier to design risk mitigation strategies. The purpose of this research is to analyse and design a risk mitigation strategy using the integrated HOR and Fishbone Diagram approach in the supply chain of a metalworking oils & fluids company. This research indicates twenty risk events, six priority risk agents, sixteen root of risk agents, and six priority mitigation strategies. The six priority mitigation strategies include implementing reward and punishment for better SOP, starting with briefing every day before activities, providing regular training to the employees, hiring great employees, establishing employee performance appraisal effectively, and maintaining machines preventively.
OPTIMASI ALOKASI SISTEM PENGOLAHAN SAMPAH ANORGANIK DENGAN METODE CAPACITATED MAXIMUM COVERING LOCATION PROBLEM Silalahi, Agustinus; Zefanya, Eva Angelica; Natalia, Christine; Prasetya, Wibawa
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 01 (2022): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v23i01.3224

Abstract

Province X in Indonesia has a significant problem with trash that has been challenging to address. The Environment Agency therefore desires to construct an inorganic Trash Management System. The Environment Agency has four potential locations with various capacities. The purpose of this research is to locate a trash treatment system's best possible site and allocate each TPS that is less than 30 km and more over 30 km from the chosen system, respectively, to ensure that the overall distance traveled is as little as possible. There are four possible locations, and it required to select three of them. This study use the LINGO 18.0 software to solve the Capacitated Maximum Covering Location Problem (CMCLP) approach. Distance parameters used by CMCLP are split into two stages. The first stage is to determine the location of the trash treatment system to be built and the allocation of trash and the amount of trash from each TPS using Mix Integer Programming. B is not chosen out of the options, which are A, B, C, and D. System A will receive 1,407,520 tons of trash totaling 24 TPS. System C receives trash from 147 TPS weighing 1,294,495 pounds. System D will receive trash weighing 819,142 tons from 88 TPS. The allocation of trash from TPS that are more than 30 km away takes place in the second stage. Three TPS are assigned to System A, and seven TPS are assigned to System D.
PENJADWALAN PERAWAT BERDASARKAN MINIMASI PELANGGARAN PERATURAN DAN MINIMASI BIAYA LEMBUR Silalahi, Agustinus; Lydia, Antonia; Natalia, Christine; Prasetya, Wibawa
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 02 (2022): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v23i02.3896

Abstract

The high overtime cost for nurses from Manual Scheduling, in the inpatient unit at ABC Hospital, where the overtime cost was Rp.10,409,910,-, much the difference number working hours between each nurses and many violations of hard constraint. So, it is necessary to make improvements to the scheduling. This study developed the scheduling whose goal is to minimize violations of regulations and minimize overtime costs by Goal Programming (GP). Mathematical formulation for both objectives were solved by LINGO 18.0. The difference in the number of working hours between the highest working hours and the least working hours for nurses who are not on leave, on Manual Scheduling, The Minimizing Regulatory Violations Scheduling and The Minimizing Overtime Costs Scheduling were 53, 0 and 1 hour(s) respectively. The highest number of working hours was 221 hours in Manual Scheduling, while the least number working hours was 175 hours in Minimizing Overtime Scheduling. If the policy in scheduling wanted to minimize violations, using the result of Scheduling for Minimizing Violation of the regulations there were 177 violations and overtime costs was Rp. 3.652.600,- reduced by 64.91%. Meanwhile, if the Hospital wanted to minimize overtime costs, using the result of Scheduling Minimizing Overtime Costs, there were 246 violations and overtime costs was Rp.104,360,- reduced by 99.0%.In the future, the hospital must establish a policy in terms of scheduling, whether the aim is to minimize violations of regulations or minimize overtime costs, so that based on this policy, the mathematical formulation can be determined.
Stock Price Prediction Using Formula From Data Scale Analysis Extrapolation Method Indriati, Kumala; Goenawan, Stepanus Ivan; Natalia, Christine; Fabrianne, Jesslyn
Metris: Jurnal Sains dan Teknologi Vol. 24 No. 01 (2023): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v24i01.4359

Abstract

Public awareness about stocks is increasing every year. This needs to be balanced with advances in science to help investors make more measurable and systematic decisions. The purpose of this study is to apply Extrapolation of Data Scale Analysis (DSA) in predicting stock prices. The DSA Extrapolation method will produce a new formula called JIC-FLY 3 which is used to process big data in predicting prices at a certain time. The population in this study is the share price of the telecommunications sub-sector with EXCL (PT XL Axiata Tbk.) as a sample. The error value measurement method used is the Mean Absolute Percentage Error (MAPE). The result of this study is that the DSA 19 extrapolation method using the JIC-FLY 3 formula is able to predict the share price of the telecommunication subsector with the best error giving the smallest error value of 0.193%.
Effect of Consuming Papaya Leaves, Almond Milk, Green Beans, Moringa Leaves, Ajwa Dates, Soy Milk, and Fennel Leaves on Breast Milk Production in Postpartum Mothers Herawati, Ita; Lutfiah, Lita; Rahmawati, Nur’aini Djulkiyyah; Natalia, Christine; Santi, Firnia; Maemunah, Dede; Susanti, Ise; Kurni, Rita
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8967

Abstract

Exclusive breastfeeding rates are often low due to suboptimal breast milk production, which impedes infants' nutritional needs. This issue is frequently attributed to poor maternal nutrition, unbalanced diets, and irregular food consumption. Breast milk production relies on hormonal changes, notably the dominance of prolactin over progesterone and estrogen during childbirth. To address this, a study was conducted to evaluate the impact of specific foods boiled papaya leaves, almond milk, green beans, moringa leaves, ajwa dates, soy milk, and fennel leaves—on breast milk production. Employing a quasi-experimental design with a one-group pretest-posttest approach, the study involved 56 postpartum mothers whose milk production was substandard. These participants were selected in March 2023 using purposive non-probability sampling. A paired t-test was performed for bivariate analysis. Results indicated a significant improvement in milk production, with a p-value of 0.000, demonstrating that the consumption of these foods positively affects lactation. Consequently, it is recommended that breastfeeding mothers incorporate these foods into their diet to enhance milk production and support exclusive breastfeeding. Regular consumption of these specific foods can help meet infants' nutritional needs more effectively.
Co-Authors Anastasia Tatik Hartanti, Anastasia Tatik Anjar Hermadi Saputro Asmaralda, Naftalia Asrul Harun Ismail, Asrul Harun Astria Hindratmo Bachri, Karel Octavianus Bonifasius Sean Pratama Br. Hutapea, Yulitari Flora Theresa Chendrasari Wahyu Oktavia Chyntia, Marcellina Denny Jean Cross Sihombing Dicky Dicky Dionysius Subali Djoko Setyanto Duhita Al Hayyu Pramesjwari Elvin Nur Furqon Fabrianne, Jesslyn Feliks P S Surbakti Feliks Prasepta S. Surbakti Ferdian Suprata Fredikson, Marcelinus Ghea Ghoniyyah Setiadi Goenawan, Stepanus Ivan Goenawan, Stephanus Ivan Gunawan, Sebastian Hartono, Natalia Hen Dian Yudani Herawati, Ita Inderawati, MM. Wahyuni Indra Adigunawan Indriati, Kumala Ita Primsa Surbakti Jessica Khantidevi Kaiwen Jiang Kartadinata, Budi Kartolo, Sandy Khantidevi, Jessica Kurni, Rita Liang, Yun Chia Lictyawati, Marcellina Cynthia Lutfiah, Lita Lydia, Antonia Maemunah, Dede Makatita, Welhelmina Vince Maria Angela Kartawidjaja Mario Caterino Marsellinus Bachtiar W Marsellinus Bachtiar Wahyu Mia Audina Agus MM Wahyuni Inderawati Muhammad Agus Muljanto Mumtaz, Fakhira Chairunnisa Murat Sahin Nugroho, Veronica Tirza Pandjaitan, MM Lanny W Pramesjwari, Duhita Al Hayyu Prayanto W. H., Prayanto W. Rahmawati, Nur’aini Djulkiyyah Ratanadewi, Steffi Rayini Dahesihsari Riana Magdalena Robertus Astuario Robertus Astuario, Robertus Ronald Sukwadi Ronald Sukwadi Ronald Sukwadi Sandra Octaviani Santi, Firnia Sari, Victoria Rekina Setiadi, Ghea Ghoniyyah Sherly Gunawan Silaban, Sonia Artha Ria Silalahi, Agustinus Siregar, Marsul Sri Mulyanti Stanislaus S. Uyanto Steffi Ratanadewi Sugioko, Andre Sultan Zeybek Sunny Clarence Surbakti, Feliks Prasepta Sejahtera Surbakti, Ita Primsa Suryadi, Jimmy Susanti, Ise Sutjiningsih, Ni Nyoman Ota Tajuddin Nur TIrtaulima, Chelsea Naomi Trifenaus Prabu Hidayat Ulisya, Azzaima Ayu Utami, Amalda Uyanto, Stanislaus Suryadi Victoria Principall Vivi Triyanti W.O, Chendrasari Wahyu, Marsellinus Bachtiar Wawan Tripiawan Wibawa Prasetya Widodo Basuki Winni Nur Auli Yuki Tiara Wiharja Yulanda, Nola Rohmi Eka Yulitari Flora Theresa Br. Hutapea Zefanya, Eva Angelica