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Goenawan, Stephanus Ivan
Universitas Katolik Indonesia Atma Jaya
Agriculture, Biological Sciences & Forestry Astronomy 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 Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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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
Pengabdian Masyarakat Sosialisasi Metris Vertikal Cara Berhitung Lebih Bervariasi Goenawan, Stephanus Ivan; Prasetya, Wibawa; Kurniawan, Angela Arella; Gunawan, Sebastian
Jurnal Pengabdian Masyarakat Charitas Vol. 4 No. 01 (2024): Jurnal Pengabdian Masyarakat Charitas Juni 2024
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.v4i01.5495

Abstract

Logical abilities and creativity in calculations can be applied in economics where people organize and manage a business activity themselves and bear the risks of their business. He is responsible for his business, financial risks, material and human resources in his business. Technical economists usually act as owners or managers and also as operators of their business activities. Calculation in technical economics is a science that contains how to calculate, how to make considerations in solving a problem, including the feasibility of a business with existing alternatives based on economic factors and criteria. By studying this approach, it is hoped that someone can make the best decision from the many available alternatives. From the description of arithmetic it can be seen that calculations in technical economics involve very technical considerations. So technical economics involves technical analysis, with emphasis on economic aspects and has the aim of assisting decision making. Therefore, in making the decision to do so, a technical economist must be able to make the right decision. The right decision is not a decision without consideration. Of course, to make the right decision, basic considerations are needed. These basics are what are called alternatives in making decisions. This process of many alternatives can be tried to simulate through learning arithmetic calculations which can be done in various or many ways using the vertical metris method.
Analytical Simulation of Linear Comparison of Temperature Changes Versus Time in the Heat Equilibrium Process of Mixing Two Liquids Goenawan, Stephanus Ivan
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 10 No 1 (2024): APRIL 2024
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v10i1.5473

Abstract

The explanation of the concept of entropy which explains that the increase in disorder in a closed system that works in advancing time comes from the second Law of Thermodynamics. In its development, Law of Thermodynamics 2 was enriched by the presence of Law of Thermodynamics 2.1 which states that the average entropy process in the forward direction will be the same or smaller than in the backward direction. The meaning of the entropy averaging process in the backward direction is that the entropy averaging process is in the forward direction but works on a heat function that mirrors the previous one, namely the heat function over time in the forward direction. Furthermore, by utilizing the Law of Thermodynamics 2.1, the results of analytical simulations can be seen comparing the level of linearity of changes in temperature over time in the process of heat flow towards thermal equilibrium in the mixing of two liquids. The results of this analytical comparison show one of the benefits of developing the second Law of Thermodynamics, namely Law of Thermodynamics 2.1.
Efficient Computation of Number Fractions from the Square Root of Two Using the A-B Goen Number Function Via the Ivan Newton (in) Series Goenawan, Stephanus Ivan
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.11575

Abstract

The square root number of two is an irrational number. If it is an irrational number, the result cannot be written as a fraction of the numerator and denominator. Fractions that approach the square root value of two have a correlation with Goen's A-B numbers. The regularity of the A-B Goen number sequence can be formulated into the A-B Goen function which is built from the Ivan Newton series. In this research, it can be proven that the A-B Goen function from the Ivan Newton (IN) series is computationally more effective and efficient when compared to the A-B Goen generating function in producing A-B Goen numbers which in infinite sequence will approach the square root value of two.
Effective Solutions for Moving Objects in Acceleration Functions and Their Reflections Using Goen's Distance Formula Goenawan, Stephanus Ivan
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 10 No 2 (2024): OKTOBER 2024
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v10i2.5952

Abstract

Goen's distance formula effectively calculates the distance from acceleration, which has a pattern as a symmetric function of time changes. In Goen's distance formula, where the acceleration function against time has a symmetric pattern, it can be solved simply by performing a total integral and multiplying it by half of the total time. Symmetric acceleration functions can be constructed by combining certain functions with their reflections. In this study, the method of proving Goen's distance formula is carried out mathematically using single and double-level average integrals of symmetric functions. The advantage of Goen's distance formula compared to the conventional distance formula is that in finding the distance traveled by an object moving with a symmetric acceleration function, it will be more effective because it is sufficient to perform an integral once compared to having to do two integrals as done in the conventional method.
Proof of Data Weigher Analysis (DWA) and Its Application to Dynamic Meta Data Weigher Goenawan, Stephanus Ivan
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 3 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i3.13155

Abstract

Data Weigher Analysis (DWA) addresses the persistent problem of objectively quantifying whether the values in a data set lean more heavily toward the left or right side, a challenge that becomes increasingly complex in irregular or large-scale data sets. Motivated by the need for a simple yet rigorous quantitative framework, this study compares two DWA techniques—the data weighting method and the data mean difference method—designed to compute balance points in a sequence. The data weighting method assigns balanced linear weights to left and right subsets, whereas the data mean difference method calculates first- and second-order mean differences to capture asymmetry in data distribution. We provide a theoretical proof of equivalence between these two formulations, showing that the mean difference approach produces the same linear weighting as the original data weighting scheme. Building on this theoretical result, we introduce a sliding-window algorithm to operationalize DWA on large, dynamic data streams, allowing automated detection of local imbalances in real time. Empirically, we validate our approach on real-world metadata and trade datasets, comparing it against baseline descriptive statistics to assess efficiency and precision. Quantitative findings show that the mean difference method reduces computation processes without loss of accuracy compared with manual weighting. Overall, this work contributes to a unified theoretical foundation, a lightweight algorithmic implementation, and evidence of practical benefits for using DWA in decision-making contexts such as questionnaire analysis, market dynamics, and trade flow monitoring.
Sosialisasi Pemanfaatan Aplikasi Kuesioner ATD Dan Likert Untuk Penelitian Survei Kuantitatif Goenawan, Stephanus Ivan; Vivi Triyanti; Hutahaean, Hotma Antoni; Wibawa Prasetya; silalahi, Agustinus
Jurnal Pengabdian Masyarakat Charitas Vol. 4 No. 02 (2024): Jurnal Pengabdian Masyarakat Charitas
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.v4i02.6014

Abstract

Using technology in quantitative research is increasingly important to improve the efficiency and accuracy of data collection. This community service activity aims to socialize the use of questionnaire applications based on the Data Weigher Analysis (DWA) and Likert methods that can be used in quantitative survey research. Socialization is carried out to researchers, academics, and students involved in survey-based research to facilitate understanding and skills in designing, distributing, and analyzing questionnaires digitally. Through this activity, participants are given direct training on using the application, the advantages of the DWAand Likert methods in measuring quantity values into quality, and efficient and accurate data processing. The evaluation results showed that participants had increased understanding and skills in utilizing the questionnaire application, which is expected to support more effective quantitative research in the future. Thus, this activity contributes to increasing researchers' capacity to conduct modern and technologybased quantitative surveys.
Akurasi dan Fleksibilitas: Perbandingan Metode Konvensional dan Kontinu dalam Pengukuran Koefisien Muai Panjang Logam Goenawan, Stephanus Ivan
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 11 No 2 (2025): Oktober 2025
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v11i2.6951

Abstract

This study compares two methods for measuring the coefficient of linear expansion of metals: the Conventional (Discrete) Method and the New (Continuous) Method, focusing on effectiveness, accuracy, and flexibility. Thermal expansion is a crucial phenomenon in materials engineering, and the coefficient of linear expansion is crucial for predicting metal behavior under temperature variations to prevent structural failure. The historically dominant Discrete Method (MD) relies on the linearity assumption and fundamentally requires an initial length (L0) as an absolute reference. This dependence limits flexibility in dynamic experimental situations, where subsequent measurements must reference the original L0. With the development of numerical calculus, the Continuous Method (MC) was developed based on the differential principle, where the coefficient of linear expansion can be calculated from infinitesimal changes in length and temperature without requiring an explicit L0. This approach allows measurements from any point, making it more adaptable for incremental testing. Through numerical simulations on five metals, this study evaluates both methods in two scenarios: an initial measurement of the coefficient of linear expansion and the flexibility of measurements from different temperatures. The results show that both methods produce very close linear expansion coefficient values when measured from the same initial conditions. However, MK proved much more adaptive and efficient, consistently producing valid linear expansion coefficient values without being tied to the original L0. MK can use the length data available at that time as a starting point for subsequent measurements, in contrast to MD, whose results become inconsistent if not referenced to L0. This flexibility of MK is particularly relevant for dynamic material testing and advanced experiments where initial conditions may not always be known or may change. This study presents scientific justification and practical guidance for adopting MK as a more flexible alternative in the thermal characterization of modern materials.
Co-Authors Asmaralda, Naftalia Christine Natalia Cristine Natalia E Yosephan Christanto Milano E. Yosephan Christanto Milano Enny Widawati Feliks Prasepta S. Surbakti Gunawan, Sebastian Hotma Antoni Hutahaean Jesslyn Fabrianne Kumala Indriati Kumala Indriati Kurniawan, Angela Arella Maria Angela Kartawidjaja Nugroho, Veronica Tirza Reflianto Iskandar Ronald Sukwadi Silalahi, Agustinus TIrtaulima, Chelsea Naomi Uyanto, Stanislaus Suryadi Vivi Triyanti Wahyu, Marsellinus Bachtiar Wibawa Prasetya