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All Journal Jurnal Teknik Industri Jurnal Rekayasa Sistem Industri Abdimas Industrial and Systems Engineering Assessment Journal (INASEA) Indonesian Journal of Business and Entrepreneurship (IJBE) JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Journal Industrial Servicess Jurnal Ilmiah Teknik Industri Jurnal IPTEK Jurnal Sistem dan Manajemen Industri MITRA: Jurnal Pemberdayaan Masyarakat Dinasti International Journal of Management Science 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 TEKNIK INDUSTRI Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Madani : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi
Christine Natalia
Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Pengabdian Masyarakat Membuat Aplikasi Iuran Keuangan Goenawan, Stephanus Ivan; Natalia, Christine; Wahyu, Marsellinus Bachtiar; Nugroho, Veronica Tirza
Jurnal Pengabdian Masyarakat Charitas Vol. 2 No. 02 (2022): Jurnal Pengabdian Masyarakat Charitas Desember 2022
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/charitas.v2i02.3595

Abstract

Along with the rapid development of the times, in all sectors of course it is necessary to follow these developments in order to achieve mutual comfort and safety. The Housing Complex also does not escape to be able to keep up with the times. Every housing estate certainly has activities to collect dues to be able to manage their living environment in a clean, safe and comfortable condition. The financial management of contributions carried out still applies a manual system, so that there is a human error between financial records and the actual evidence is not the same. In addition, with a manual system like this, misunderstandings can arise and the truth is quite difficult to prove due to manual recording. Using the Rapid Application Development method to design a financial management mobile app that has an incremental nature with the intention that the processing time can be done in a short time but still optimally. The data needed will be integrated using Firebase which has a real-time nature so that records can be recorded automatically and existing data is always updated according to existing events. Application design using the JavaScript programming language in the Visual Studio program and integrated with Firebase as a place to process data. Based on testing the system has been designed and can be used properly
UNDERSTANDING CRITICAL VARIABLE FOR CUSTOMER LOYALTY IN C2C MODE Prasetya, Wibawa; Christine Natalia; Nesya Nathania Hanjaya; Dewi Kartikaningsih
Dinasti International Journal of Management Science Vol. 3 No. 5 (2022): Dinasti International Journal of Management Science (May - June 2022)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v3i5.1229

Abstract

In twenty-first centuries, the development of e-commerce and market competition is aggravating. Traditional marketing pattern in society is undergoing profound changes and C2C e-commerce has become one of the most important shopping ways in our daily life. But due to the particularity of online shopping environment and various existing problems, it become more difficult to build customer loyalty. In terms of increasing customer loyalty, C2C must be able to provide customer trust from good service quality with promotion as a support. The purpose of this study is to determine the influence of service quality, promotion, and trust on customer loyalty from e-commerce customer. To clarify the relationship among these construct, SEM (Structural Equation Modeling) is conducted to examine the model fit and the five hypothesis. The result of this research shows that four of the five proposed hypotheses are accepted. Promotion has no significant influence on customer loyalty, but promotion will have a significant influence on customer loyalty through trust variable.
Forecasting Methods Proposal and Implementation of Distribution Requirement Planning Method to Overcome Unfulfilled Stock Availability at PT. XYZ Natalia, Christine; Gunawan, Sebastian; Liang, Yun Chia; Sugioko, Andre; Tripiawan, Wawan; Fredikson, Marcelinus
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa & Inovasi Volume 7 Number 1 (2025)
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v7i1.7314

Abstract

PT. XYZ is a manufacturing company engaged in the automotive sector by producing various automotive components. Based on the results of observations and interviews at PT. XYZ, it is known that there is a shortage of stock, so that customer or consumer requests are not fulfilled at each existing distribution center (DC). Based on the problems that occur, the research result suggestions for the best forecasting method based on the time series plot of each DC request processing using the Distribution Requirement Planning (DRP) method. In addition, with the DRP method, there is additional stock. The company still has remaining stock so it can still meet customer demand for each DC, and the product distribution process runs more regularly if any defective product should be replaced. Based on research results, the DRP method is able to minimize the risk of unfulfilled demand due to product defects.
Molecular docking of several compounds in katuk (Sauropus androgynus (L.)) leaves as anti-breast cancer in AKT1 protein Sutjiningsih, Ni Nyoman Ota; Ulisya, Azzaima Ayu; Utami, Amalda; Natalia, Christine; Mumtaz, Fakhira Chairunnisa; Yulanda, Nola Rohmi Eka; Sari, Victoria Rekina; Auli, Winni Nur; Saputro, Anjar Hermadi
Pharmacy Reports Vol. 4 No. 3 (2024): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51511/pr.77

Abstract

Breast cancer represents a leading cause of cancer-related mortality among women worldwide. Katuk leaves (Sauropus androgynus L.) demonstrate potential as anticancer agents through their ability to inhibit metastatic processes. The AKT1 protein plays a critical role in preventing apoptosis in breast cancer cells, making it an important therapeutic target. This study employed molecular docking analysis to evaluate the binding affinity of bioactive compounds from katuk leaves to the AKT1 protein. The docking methodology involved protein preparation using structures obtained from the Protein Data Bank (PDB ID 3O96), followed by ligand preparation and validation using AutoDockTools version 1.5.6. Chemical interaction analysis was performed using BIOVIA Discovery Studio 2021 software. The binding energy analysis encompassed one native ligand, one reference drug (afuresertib), and five katuk-derived compounds: kaempferol, catechin, coumarin, squalene, and phytol. The respective binding energies were determined as -12.59, -8.70, -5.92, -6.44, -5.05, -8.11, and -6.70 kcal/mol. Among the tested compounds, squalene exhibited the strongest binding affinity (-8.11 kcal/mol), demonstrating superior interaction with the AKT1 protein compared to other katuk-derived bioactive compounds. The in silico screening results indicate that bioactive constituents in katuk leaves possess favorable binding characteristics for breast cancer protein targets, with squalene showing particular promise as a natural AKT1 inhibitor.
Machine Learning for Anime Recommendation System Using K-Means Clustering Bonifasius Sean Pratama; Elvin Nur Furqon; Natalia, Christine
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.9402

Abstract

The increasing popularity of Japanese-origin animation industries or so-called “anime” attracts more interest from already-known fans and ordinary people who are just interested in watching. However, many viewers need advice in the form of recommendations for their preferred anime. This research aims to help viewers by developing a system that could provide some recommendations for several anime series related to the current series watched by the viewers. On the other side, this research could provide a reference to other researchers, especially those whose research focuses on Machine Learning, Artificial Intelligence, and Japanese Animation culture. In this paper, the K-Means Clustering method is used to build the clustering model based on the data series, and the Elbow Method is used to determine the appropriate number of clusters. The result of this research indicates that the system can provide several titles of anime series related to the initial title of the anime series entered by the user at each iteration.
Machine Learning for Anime Recommendation System Using K-Means Clustering Bonifasius Sean Pratama; Elvin Nur Furqon; Natalia, Christine
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.9402

Abstract

The increasing popularity of Japanese-origin animation industries or so-called “anime” attracts more interest from already-known fans and ordinary people who are just interested in watching. However, many viewers need advice in the form of recommendations for their preferred anime. This research aims to help viewers by developing a system that could provide some recommendations for several anime series related to the current series watched by the viewers. On the other side, this research could provide a reference to other researchers, especially those whose research focuses on Machine Learning, Artificial Intelligence, and Japanese Animation culture. In this paper, the K-Means Clustering method is used to build the clustering model based on the data series, and the Elbow Method is used to determine the appropriate number of clusters. The result of this research indicates that the system can provide several titles of anime series related to the initial title of the anime series entered by the user at each iteration.
Pendekatan Metode Tiga Fase dalam Optimasi Masalah Rute Kendaraan dengan Varian Jenis Kendaraan dan Jenis Produk Natalia, Christine; Silalahi, Agustinus; Khantidevi, Jessica
Metris: Jurnal Sains dan Teknologi Vol. 18 No. 02 (2017): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

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

Abstract

SClustering is a commonly system used by the distribution company. Some consumers who are in the same location but located in two different clusters as a result of a fixed and rigid area within cluster, resulting in longer delivery time and higher cost incurred to deliver the order. The purpose of this research is to determine the optimal vehicle route using three-phase method approachthat improve the clustering system. Complexity arising from the problem of this vehicle routing includes variant types of vehicles and variants of product types. The three-phase method includes a cluster-making phase with a maximum distance between consumers within 10 kilometers, a cluster adjustment phase, and a routing phase that determine shipping routes and calculate total distribution cost. Numerical examples shows that the cost of distributing goods can be minimized, from an average of IDR 1,064,408.33 to an average of IDR 775,586.46. Thus a three-phase method may improve the clustering system by reducing distribution time and cost.
Optimasi Pengiriman Sapi Potong pada Jaringan Pelayaran Kapal Khusus Ternak dengan Algoritma Genetika Natalia, Christine; Setiadi, Ghea Ghoniyyah; Silalahi, Agustinus
Metris: Jurnal Sains dan Teknologi Vol. 20 No. 01 (2019): 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.v20i1.2393

Abstract

The government livestock carrier cruise program is a dedicated program to improve the supply chain management of livestock and the ultimate goal is selfsufficiency of beef in 2026. This carrier has one fleet with the capacity of 500 cows and sails through 8 ports regularly. The island of Nusa Tenggara are the local producers for the livestock carrier cruise which is an area of provincial surplus of beef. For the future the government plans to add more ships to the armada from the current one fleet to six fleets of livestock carrier cruises. The current livestock carrier cruise program has not been optimal in shipping cows to the consumer area. This is caused by the limitation of number of fleet and theexisting route that the livestock carrier has to sail through has created some obstacle to maximizing the number of cows to be distributed. This research aims to optimise this carrier cruising route with criteria including having high supplied beef percentage rate and having the most minimum cost. This optimisation problem solved by genetics algorithm methid and develop twodifferent scenarios that suggest alternatives for an optimal route. To make things easier, a computerized program with genetics algorithm method for a livestock carrier cruise optimization network are designed. The outcome of this research is a proposed optimised route on scenario 1 with total cost of Rp 443,306,533.26, and total load of 1,374 cows. As for the future to add five ships, the conditions are met by using the results of the second scenario with total cost of Rp 1,321,505,850.62, total load of 3416 cows and the route network for six ships
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.
Co-Authors Achmad Bahauddin Agustinus Silalahi Anastasia Tatik Hartanti Andre Sugioko Anjar Hermadi Saputro Asmaralda, Naftalia Asrul Harun Ismail, Asrul Harun Astria Hindratmo Atia Sonda Bonifasius Sean Pratama Br. Hutapea, Yulitari Flora Theresa Chendra Sari Wahyu 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 Sejahtera Surbakti Ferdian Suprata Fredikson, Marcelinus Ghea Ghoniyyah Setiadi Goenawan, Stepanus Ivan Gunawan, Sebastian Hartono, Natalia Hen Dian Yudani Hilal Yumna Indra Adigunawan Ita Primsa Surbakti Jessica Khantidevi Jimmy Suryadi Kaiwen Jiang Karel Octavianus Bachri Kartadinata, Budi Kartikaningsih, Dewi Kartolo, Sandy Khantidevi, Jessica Kumala Indriati Liang, Yun Chia Lictyawati, Marcellina Cynthia Lucas Lucky Lydia, Antonia Makatita, Welhelmina Vince Marcelinus Fredikson Maria Angela Kartawidjaja Maria Magdalena Wahyuni Inderawati Mario Caterino Marsellinus Bachtiar Wahju Marsul Siregar Mia Audina Agus Muhammad Agus Muljanto Mumtaz, Fakhira Chairunnisa Murat Sahin Nesya Nathania Hanjaya Nugroho, Veronica Tirza Pandjaitan, MM Lanny W Pramesjwari, Duhita Al Hayyu Prayanto W. H., Prayanto W. Ratanadewi, Steffi Ratna Ekawati Rayini Dahesihsari Riana Magdalena Silitonga Robertus Astuario Robertus Astuario, Robertus Ronald Sukwadi Ronald Sukwadi Ronald Sukwadi Sandra Octaviani B. Widiarto Sandy Kartolo Sari, Victoria Rekina Sebastian Gunawan Setiadi, Ghea Ghoniyyah Sherly Gunawan Silaban, Sonia Artha Ria Sri Mulyanti Stanislaus Suryadi Uyanto Steffi Ratanadewi Stephanus Ivan Goenawan Sultan Zeybek Sunny Clarence Surbakti, Ita Primsa Sutjiningsih, Ni Nyoman Ota Tajuddin Nur TIrtaulima, Chelsea Naomi Trifenaus Prabu Hidayat Ulisya, Azzaima Ayu Utami, Amalda Victoria Principall Vivi Triyanti W.O, Chendrasari Wawan Tripiawan Wibawa Prasetya Widodo Basuki Winni Nur Auli Yuki Tiara Wiharja Yulanda, Nola Rohmi Eka Yulitari Flora Theresa Br. Hutapea Yun Chia Liang Zefanya, Eva Angelica