cover
Contact Name
Evelyne Hanaseta N
Contact Email
seoi_ft@usahid.ac.id
Phone
+6282112452858
Journal Mail Official
seoi_ft@usahid.ac.id
Editorial Address
Jl Prof. Dr. Soepomo, SH Tebet Jakarta 12870
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Sustainable Environmental and Optimizing Industry Journal
ISSN : 26215586     EISSN : 26215586     DOI : https://doi.org/10.36441/seoi
Core Subject : Engineering,
Jurnal Sustainable Environment Optimizing Industri (SEOI) adalah merupakan jurnal ilmiah yang diterbitkan oleh Fakultas Teknik Universitas Sahid Jakarta. Jurnal ini berfokus kepada pengembangan ilmu-ilmu berdasarkan hasil penelitian dibidang lingkungan dan industri. Topik hasil penelitian yang terdapat dalam jurnal ini diataranya adalah tentang Manajemen Lingkungan, Ekologi Lingkungan, Analisa Mengenai Dampak Lingkungan, Pengolahan Air Limbah, Limbah Padat dan B3, Inovasi dalam Pengelolaan Lingkungan, Pencemaran Lingkungan, Teknik Industri, Manajemen Industri, Ergonomi Dan Sistem Kerja, Operational Research, Desain Produk, Manajemen Proyek, Business Design and Development, Sistem Informasi Manajemen, Industri Kreatif, Industri Jasa Dan Industri Manufactur
Articles 7 Documents
Search results for , issue "Vol 4, No 2 (2022)" : 7 Documents clear
INNOVATION AMBIDEXTERITY MODEL IN STOCK ANALYSIS SERVICES MICRO BUSINESS IN INDONESIA Hafidz, Muhammad Afza; Suzianti, Amalia
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1186

Abstract

One of a kind from the micro business sector in Indonesia is micro stock analysis services business thatmanaged by stock analysts who provide positive predictive recommendations to their clients. During the pandemic outbreak, the stock analysis service business was experiencing problems due to the decline in prices and affect its performance. This problem led researchers to help micro stock analysis services business with knowing the most influencing factors of the innovation ambidexterity model. Data collection was carried out by conducting an initial survey from Indonesia professional investment manager as expert. The collected data were analyzed using the partial least square (PLS) method to determine most influencing factors of the innovation ambidexterity model. As a result, investment capability is the most is the most influential variable on innovation ambidexterity.
ANALYSIS OF MATERIAL INVENTORY CONTROL THE METROSTATER CONSTRUCTION PROJECT IN DEPOK Kohar, Sulistyadi; Dana, I Nyoman; Agung, Wardana; Nurasyiah, Anna
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1189

Abstract

In the last 10 years the construction sector boom has increased rapidly. The Government's Long-Term Plan and the leniency of government policies on investors wishing to invest in Indonesia have stimulated the growth of the construction sector in Indonesia. Increasingly adequate infrastructure encourages entrepreneurs or contractors to invest in public and private projects. One of the private construction projects being handled is the Depok Metrostater Project. This project is located in the city of Depok which has a Transit Oriented Development (TOD) concept. Currently the project is still in the construction stage of the foundation and in its implementation it requires concrete iron as raw material. To ensure material availability, the contractor will perform a scheduled recapitulation of materials according to usage needs. This material scheduling implements material stock inventory control that must be available in the warehouse, so as not to overstock. For this reason, an optimal inventory control analysis is needed through the Economic Order Quantity (EOQ) method, Lot For Lot, Fixed Period Requirement (FPR), and the Wagner and Within algorithms. The comparative results of the inventory method analysis based on the Wagner and Within Algorithm methods provide the most economical results with the minimum total cost of Rp. 583,466,945, - among the other three methods. and Contractors can make efficiency by 35%
SUSTAINABILITY DIRECTIVE STRATEGY OF ECOLOGYCAL IN THE FACE OF THE SURGE IN THE COVID-19 PANDEMIC AND OTHER PANDEMICS Maya Dewi Dyah Maharani; Tatan Sukwika
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1160

Abstract

The World Health Organization (WHO) said that the COVID-19 pandemic is a disease caused by the new coronavirus SARS-CoV-2 (Severe Acute Respiratory Syndrome - Coronavirus - 2) on March 11, 2020. The threat of the COVID-19 pandemic is revealed not only by the number of people infected and who experience death, but also especially for vulnerable people in populations that are most likely to be potentially infected. SARS-CoV-2 is a new virus in which the human population has no immunity. The research was conducted in Bogor, West Java province at the end of December 2019, followed by 2020 until February 2021. The analysis used is SWOT (Strengths, Weaknesses, Opportunities, Threats). The internal and external factors included in swot analysis are leverage attributes of mitigation ecological sustainability processing that use Multi Dimensional Scaling (MDS), leverage and Monte Carlo analysis. The formulation of the resulting directive strategy in ecological sustainability mitigation in the face of the surge of Covid-19 and other pandemics is the improvement of echo-ethics through the implementation of One-Health. The strategy is built from internal weakness factors, namely the implementation of echo-ethics which is a leverage attribute with a Root Mean Square (RMS) value of 2.98. While the external factor of opportunity is the application of One-Health which is a leverage attribute with RMS of 2.90.
DEVELOPMENT OF DATA ANALYTIC TOOLS IN MANUFACTURING SYSTEMS USING DESIGN THINKING METHOD Viacenza, Arraz Naoval; Setiawan, Andri D
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1183

Abstract

Currently, it is rare for Data analytic Tools to take a user-centric approach to their users. An approach to the user is needed by collaborating between domain experts and business managers in modeling problems, finding insights, and designing models before entering the implementation phase. The objectives of this study include identifying the needs of manufacturing industry players for the application of Data Analytic Tools in the manufacturing system and providing recommendations for the application of the Design Thinking approach in developing Data Analytic models in the Manufacturing Industry. The results of this research include the manufacturing industry has a need for Data Analytic Tools to monitor and document machine performance in real time and accurately, and can help identify errors or other abnormal situations then Design Thinking can make it easier for us to design products from various user perspectives. We can understand user needs, user motivation, and user behavior towards the products we develop. Design Thinking also offers various model frameworks that can help us understand the user.
COMBINATION OF TREMBESI (Samanea saman) ADSORBENTS AND FITORMEDIATION OF KIAMBANG (Salvinia molesta) PLANTS TO REDUCE CHROME LEVELS IN BATIK WASTE Kurnianingtyas, Erlina
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1185

Abstract

Chrome (Cr) is one of the harmful heavy metals whose existence could lead to a decline in water quality, as well as harm the environment and aquatic organisms. One of the industries that generate the waste water containing chrome is the batik industry. The resulting wastewater processing needs to be done, one of which is to combine the adsorbents and trembesi seeds fitoremediasi plants Salvinia (Salvinia molesta). The purpose of this research is to know the levels of chrome on the process of adsorbsi and fitoremediasi process. This research was conducted with two processes, i.e. processes adsorbsi and fitoremediasi process. On the process of adsorbsi use two variations of the size that is the size of the mesh 30/40 mesh 60/70 and, after passing through the adsorbsi process then continues to process fitoremediasi. Treatment on the process of fitoremediasi that is the difference between living plants, IE 0-day, 2-day and 4-day. Sampling is done on each process, which is then carried out in the laboratory of environmental engineering laboratory. Based on the results of the research that has been done, the combination of adsorbent and trembesi seeds fitoremediasi plants Salvinia (Salvinia molesta) is capable of lowering the levels of chromium in waste batik. On the process of adsorbsi with 30/40 mesh size variation is obtained as a result of 8.771 mg/L and 60/70 mesh size variation of 8.092 mg/L is obtained from figure control 10.563 mg/l. To process fitoremediasi with the variation of size of mesh 30/40 adsorbent on day 0 8.730 mg/L, at 6.962 day 2 mg/L, on the 4th day of 6.212 mg/l. fitoremediasi Process with variation of the size of the mesh 60/70 adsorbent, on the 4th day 0 6.843 mg/L, on the 2nd day 5.752 mg/L, on the 4th day of 5.688 mg/L.
ANALYSIS OF DATA ANALYTICS IMPLEMENTATION SUCCESS FACTORS IN MANUFACTURING Dwika Widyantama; Andri D Setiawan
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1431

Abstract

Technological developments always create new challenges for organizations to adapt so that they remain competitive. Today, organizations are dealing with rapid technological developments and the disruption of digital transformation. The characteristics of digital transformation in manufacturing are the application of the latest technology that supports so that processes and information are connected, between production machines, and products as well as the high adaptability of a production system. In achieving the main goal of Industry 4.0, namely smart manufacturing that can respond to fluctuations of market demand for high-quality products, it is necessary to apply technology that can collect and analyze data to produce intelligent solutions, which is often referred to as the use of Data Analytics. Literature study shows that there are various barriers or barriers in the implementation of Data Analytics in manufacturing companies. However, none of these studies have discussed what success factors need to be prioritized for treatment. This causes the implementation of Data Analytics in manufacturing to be less effective. The aim of this research is to provide strategic recommendations in the form of a priority sequence of success criteria that can be used by stakeholders in manufacturing companies to be able to implement effective digital transformation. Determining the priority of handling obstacles in the implementation of Data Analytics is a Multi-criteria Decision Making (MCDM) problem, the AHP method is used in this study to obtain priority success factors which are the basis for strategic recommendations in increasing the effectiveness of Data Analytics implementation in manufacturing. From the research results, it was found that the top 3 success factors were Effective data driven communication (People Management), Technology Infrastructure Integration (Technology) then Training Upskilling (People Management).
Analysis of the Technical Performance of Clean Water Distribution at the Tirta Melawi Regional Drinking Water Company Kelana, Yuni Arinata Putri; Nugraheni, Putranty Widha
Sustainable Environmental and Optimizing Industry Journal Vol 4, No 2 (2022)
Publisher : Universitas Sahid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/seoi.v4i2.1802

Abstract

In the service area of PDAM Tirta Melawi, there are still several complex issues with the public drinking water system in Indonesia that have not yet been fully fixed. The problem that persists today is the lack of general knowledge of the value of utilizing clean water and the accessibility of clean water services. To address the water needs of the people in the Melawi region, a regional company called the Regional Drinking Water Company (PDAM) Tirta Melawi delivers clean water. The distribution pipe's primary responsibility is to provide clean water to every consumer while taking water pressure, amount, and quality into mind. All customers agree that having access to water on demand is a must-have. The water treatment system, compelling enough to generate water with a whole conventional system, reflects PDAM Tirta Melawi's technical capacity to provide clean water to meet the community's clean water needs. The water distribution capacity can satisfy the water needs of 6,012 consumers, which generates an average of 121,533 m3 at the Tanjung Lay hydropower plant and 51,578 m3 at the Serundung hydropower plant. Nanga Pinoh has a 24-hour service time and up to 14 zones, commencing in zones A through N.

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