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The Green GDP Implementation in Country-Based Environmental Management System: A Review Filson Maratur Sidjabat; Asyifa Apsari
Jurnal Serambi Engineering Vol 5, No 4 (2020)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v5i4.2314

The economy, environment, and social pillars of sustainability demand the environmental management system (EMS) to improve the cycle system continuously. The result of the evaluation and review stages needs to account for the measurement method that potentially enhances the policy implication. Thus, the green GDP found to be practically suited with current country-based EMS, where it shows by China’s green GDP and GDP gap reached 5% in 2016. The objective of this paper is to acknowledge the implementation of green GDP in the country-based environmental management system. This paper is based on a literature review process, which covered around eight references. The result and discussion lead to the implementation of green growth indicator in national and regional green economy strategy of Indonesia, China, and Finland. The challenges of unstandardized indicators and calculation formula prospected to be tackled by reflecting the current indicator with potential global adjusted formula and valuation through international policy enforcement and integrated communication. The conclusion describes that green GDP is potentially integrated with EMS to ensure the improved cycle of sustainability.

Comparative Analysis of Quality and Environmental Management Strategic Implementation in Cement Industry Filson Maratur Sidjabat; Risalatul Habibah; Martogi Pasaribu
Media Ilmiah Teknik Lingkungan (MITL) Vol 4 No 2 (2019): Media Ilmiah Teknik Lingkungan
Publisher : Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

The cement industry's activities have an impact on health and the environment, therefore a solution is needed to deal with the negative impacts of the cement industry operations. The cement industry undertaken various strategies in dealing with the negative impacts that occur to remain trusted by buyers. The strategy carried out by the cement industry is not only according to national standards but also international standards. ISO is one of the international standards in operational activities. The cement industry strives to obtain ISO 9001: 2015 certification regarding quality management which ensures the quality of cement products is in accordance with international standards and ISO 14001:2015 certification regarding environmental management which ensures that the industrial strategy implemented by the industry is in accordance with international standards. Three cement industries in Indonesia that have been certified ISO 9001: 2015 and ISO 14001: 2015 are PT Indocement Tunggal Prakarsa Tbk., PT Holcim Indonesia Tbk., And PT Semen Baturaja Tbk. The author will analyze the comparison of strategies implemented by the three cement industries in implementing ISO 9001: 2015 and ISO 14001: 2015. The method used in this research is descriptive exploratory. The collection of data and information is carried out through several references from related companies.

BASELINE BEBAN EMISI SEKTOR TRANSPORTASI DI KORIDOR PASTEUR-CILEUNYI DAN UJUNGBERUNG-GEDEBAGE, BANDUNG, JAWA BARAT, INDONESIA Filson Maratur Sidjabat; Driejana Driejana; Ade Sjafruddin
Jurnal Teknik Lingkungan Vol. 22 No. 1 (2016)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.tl.2016.22.1.6

Abstrak: Sektor transportasi merupakan salah satu penyumbang emisi gas rumah kaca yang besar saat ini, dan menjadi tantangan besar di abad 21, khususnya dalam pengembangan pembangunan transportasi yang berkelanjutan. Inventori emisi merupakan salah satu alat yang dapat digunakan sebagai dasar pengambilan keputusan dalam permasalahan pencemaran udara. Baseline emisi dihitung di beberapa titik akurat pada jalan, yang paralel dengan proyek BIUTR. Penelitian ini dilakukan di 7 ruas jalan dalam koridor Pasteur-Cileunyi dan Ujungberung-Gedebade, untuk gas rumah kaca (CO2 dan HC), dan pencemar udara lainnya (CO, NOx, dan PM10) dari sektor transportasi. Faktor emisi Inggris dignakan dalam perhitungan beban emisi karena lebih detail dan sesuai dengan kondisi di lapangan (ragam kecepatan dan jenis kendaraan). Hasil menunjukkan skenario proyek BIUTR meningkatkan beban emisi, berkaitan dengan meningkatnya volume kendaraan. Peningkatan beban emisi yang dihitung untuk proyeksi tahun 2015-2030 dari beban emisi driving adalah (34,9 - 152,13)%, (100,94 - 441,74)%, (17,53 - 70,51)%, (12,83 - 55,5)%, dan (16,65 - 70,87) %, untuk CO2, NOx, PM10, CO, dan HC, secara berurutan. Kata kunci: Baseline emisi, transportasi berkelanjutan, pencemar udara, faktor emisi Abstract : Transportation sector as one of the biggest contributors of greenhouse gas emission, becoming one of the biggest challenges in the 21st century; especially on the way people build a sustainable transportation system. Inventory emission is one of the tools that is commonly be used as a foundation tool for decision makers in managing pollution problems. Emission baseline is calculated in some precisely exact points on the road, parallel with BIUTR project which plans to the extend to the existing and put some new fly over road links. This research was done in 7 lines of roads within the route between Pasteur-Cileunyi and Ujungberung-Gedebage. The research is focused on greenhouse gases, of CO2 and HC, and air pollutants (CO, NOx, and PM10) focusing on transportation as the source. British emission factor was used because it is the best implicated emission factors as it is better in details and the field condition, e.g. various speed and vehicle type. The results shows that BIUTR project scenario increases emission load, related to the increase of vehicles volume. The increase of emission calculated for 2015-2030 from driving emission load are (34,9 - 152,13)%, (100,94 - 441,74)%, (17,53 - 70,51)%, (12,83 - 55,5)%, and (16,65 - 70,87) %, for CO2, NOx, PM10, CO, and HC, respectively.Key words: Emission baseline, sustainable transportation, air pollutant, emission factor

MODEL SPASIAL SEBARAN PENCEMAR UDARA DARI SUMBER TRANSPORTASI DAN PENGARUHNYA PADA KUALITAS UDARA DI DALAM RUMAH DI SEKITAR JALAN RAYA (Studi kasus di Wilayah Karees dan Cibeunying Kidul, Bandung) Filson Maratur Sidjabat; Driejana Driejana
Jurnal Teknik Lingkungan Vol. 23 No. 2 (2017)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.tl.2017.23.2.2

Abstrak: Sektor transportasi, sebagai salah satu kontributor terbesar untuk gas rumah kaca, menjadi tantangan besar di abad 21 ini. Banyak juga pencemar udara lainnya yang diemisikan dari sektor ini, berdampak pada kesehatan manusia. Pengembangan pembangunan di sektor transportasi harus diarahkan menjadi pengembangan transportasi yang berkelanjutan dan memperhatikan aspek lingkungan dan kesehatan manusia. Oleh karena itu, di perlukan penelitian untuk mengembangkan metode dalam mengkuantifikasi dampak terhadap kesehatan manusia, di Indonesia dengan segala keterbatasan data yang ada. Tujuan dari makalah ini adalah mengembangkan pendekatan untuk memprediksi konsentrasi di dalam rumah yang berasal dari aktivitas transportasi terdekat. Dalam jurnal ini, analisa spasial akan dilakukan terhadap hasil model konsentrasi NO2 dan PM10, Model dispersi konsentrasi outdoor NO2 dan PM10 diperoleh dengan menggunakan CALINE4. Data input CALINE4 diantaranya data sekunder aktivitas transportasi dari 6 jalan, dihitung dengan faktor emisi UK-NAEI, data meteorologis, kordinat UTM reseptor "“ data penderita asma - dari penelitian sebelumnya. Persentase nilai kesalahan rata-rata dari model NO2, dari 120 reseptor di kawasan Cibeunying Kidul, adalah 33,3 % dan Nilai RMSE 18,5 µg/m3. Dari 3 reseptor di sekitar kawasan Karees, persentase nilai kesalahan rata-rata dari model PM10 adalah 29,89 % dan RMSE 1,02 µg/m3. Model konsentrasi NO2 dan PM10 adalah model 'factor of two'. Peta prediksi konsentrasi dalam rumah diperoleh menggunakan ArcGISd dengan metode interpolasi IDW. Persentase nilai kesalahan rata-rata dari model konsentrasi NO2 dalam rumah, dari 100 reseptor di kawasan Cibeunying Kidul, adalah 41,44 % dan Nilai RMSE 16,32 µg/m3. Dari 3 reseptor di sekitar kawasan Karees, persentase nilai kesalahan rata-rata dari model konsentrasi PM10 dalam rumah adalah 26,41 % dan RMSE 1,80 µg/m3. Model ini dapat digunakan untuk memprediksi konsentrasi NO2 dan PM10 dalam rumah di setiap reseptor untuk penelitian selanjutnya.) Kata kunci: polusi udara, sektor transportasi, CALINE4, analisis spasial Abstract : Transportation sector as one of the biggest contributors of greenhouse gas emission, becoming one of the biggest challenges in the 21st century. Many other air pollutants emit from this sector and have the human health effect. The development in this sector need to aims the sustainable transportation development, which concern the environment and human health aspects. Thus, need some research to develop the method to quantify the impact on human health, in Indonesia, where many data are limited and not available. This paper aims to develop an approach to estimate the pollutant concentration inside the house that is contributed by nearby transportation. In this paper, spatial analysis for the result modeling of NO2 and PM10. Outdoor NO2 and PM10 concentration dispersion model are obtained from CALINE4 software. Input data for CALINE4 are secondary data of transportation activiy from 6 road, calculated by UK-NAEI emission factor, meteorological data, the UTM coordinate of receptor -data of people with asthma - from previous study. The average percentage of error value from NO2 model, based on 120 receptor in Cibeunying Kidul area, is 33.3 % and RMSE is 18.5 µg/m3. From the 3 receptor around Karees area, the average percentage of error value from PM10 model is 28.89 % and RMSE is 1.02 µg/m3. NO2 and PM10 concentration model is a 'factor of two' model. The map of indoor concentration prediction are obtained using ArcGIS with IDW interpolation method,. The average percentage of error value from NO2 indoor concentration model, based on 100 receptor in Cibeunying Kidul area, is 41.44 % and RMSE is 16.32 µg/m3. From the 3 receptor around Karees area, the average percentage of error value from PM10 indoor concentration model is 26.41 % and RMSE is 1.80 µg/m3. The model can be used to predict the NO2 and PM10 indoor concentration in all receptors for further research.. Key words: . air pollution, transportation sector, CALINE4, spatial analysis

Training on making composter bins for household organic waste treatment Yunita Ismail Masjud; Filson Maratur Sidjabat; Filda Rahmiati; Grace Amin
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 7, No 1 (2022): February 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v7i1.6057

Waste management in households can make waste as a resource and provide benefits for the manager. One way to manage organic waste is to make it into liquid fertilizer using composting bins that can be used independently by households. In this community service activity aims to educate households on how to use composting barrels. The activities carried out are by holding training on making barrels as well as procedures for turning organic waste into liquid pupu for housewives who directly handle waste in their households. This activity was carried out in a residential area in Cikarang, Bekasi Regency with a total of 45 participants. The training was conducted for one day, starting with a briefing on the formation of a RW-level waste management organization, followed by making composting bins and making bins together. Participants in this training are generally 40-45 years old (40%) with high school education (64%). In this training, 1 composting bin has been successfully made using a container that was used as a chemical container that was deliberately purchased from a secondhand goods trader. This training is expected to educate housewives to be able to manage organic waste into liquid fertilizer and can increase their income because it still has economic value.

THE ECO ENZYME APPLICATION ON INDUSTRIAL WASTE ACTIVATED SLUDGE DEGRADATION Temmy Wikaningrum; Rijal Hakiki; Maryani Paramita Astuti; Yunita Ismail; Filson Maratur Sidjabat
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 5, NUMBER 2, APRIL 2022
Publisher : Universitas Trisakti

Aim: This study aims to determine whether the application of eco enzyme affects the industrial waste activated sludge degradation and to compare the effects of eco enzyme made from oranges and tomatoes. Methodology and results: The experiments were done on the laboratory scale for 12 days by applying 10% of eco enzyme in the sludge samples. It showed both tomatoes and oranges eco enzymes can decrease the pH from 6.9 to 4.7 compared to control which was stable at 6.9. The reduction of COD, TSS, and VSS by tomato eco enzyme applications were 61%, 39% 41% respectively compared to by orange eco enzyme application that showed a higher reduction of 78%, 45%, 46% respectively. The control samples also show the reduction of COD, TSS, and VSS by 21%, 23%, 30% respectively. The reduction of organic content in the control samples of sludge (8.9%) was higher than the samples with eco enzyme (3.5%). Conclusion, significance, and impact study: The results showed that eco enzyme application significant statistically affected reduction of pH, COD, organic content, but not significant statistically on TSS and VSS reductions. Comparing the application of orange and tomatoes eco enzyme did not show the significant different treatment.

Prototype of Air Quality Sensor for Gas Pollutants Monitoring System in Industrial and Residential Estates Enndi Chiu; Joni Welman Simatupang; Rijal Hakiki; Filson Maratur Sidjabat
Jetri : Jurnal Ilmiah Teknik Elektro Jetri, Volume 19, Nomor 1, Agustus 2021
Publisher : Website

Globalization causes the industrial and information era to develop in massive ways to produce and distribute goods for human needs using big trucks. Due to massive transportation passing by, it is also required to monitor the the level of gases pollutants that can endanger the human respiratory system. This work presents the integrated sensor consists of Arduino Uno and Raspberry Pi 1 Model B+ that can monitor 3 different parameters such as CO, CO2, and NH3 to monitor the industrial area in Lippo Cikarang for the measurement. For monitoring system, the author uses Node-RED for implementing the internet of things system. For gas sensor, author uses MQ-135 air quality sensor to detect 3 gases parameters which have been mentioned with graphs. The main goal of this work is to contribute data for monitoring system of gas pollutants in industrial and residential areas. The experiment has been successfully done where table and graph are shown to be analyzed and summarized. Measurement results are then compared with the environmental air quality standard. As conclusion, the average level of ppm in industrial area for CO2 is 30 ppm, for NH3 is 28.9 ppm, and for CO is 27.08 ppm. While, the average level of ppm in residential area for CO2 is 21.32 ppm, for NH3 is 19.3 ppm, and for CO is 20.93 ppm. Globalisasi menyebabkan era industri dan informasi berkembang pesat dalam memproduksi dan mendistribusi barang – barang untuk kebutuhan manusia menggunakan truk. Karena banyak transportasi yang lalu lalang, diperlukan divais untuk memonitor kadar polutan gas yang dapat membahayakan sistem pernapasan manusia. Penelitian ini menyajikan sensor terintegrasi yang terdiri dari Arduino Uno dan Raspberry Pi 1 Model B+ yang dapat memonitor 3 jenis gas yang berbeda seperti CO, CO2, and NH3 di area industri. Untuk sistem monitor, penulis menggunakan Node-RED untuk implementasi sistem Internet of Things (IoT). Untuk sensor gas, penulis menggunakan sensor kualitas udara MQ-135 untuk mendeteksi 3 jenis gas yang sudah disebutkan dengan kalibrasi dan grafik agar dapat memonitor tingkatan polutan gas. Tujuan utama dari penelitian ini adalah untuk memberikan kontribusi hasil data untuk sistem monitoring gas polutan di kawasan industri dan perumahan. Eksperimen sudah dilakukan dengan baik dimana tabel dan grafik ditampilkan untuk dianalisis dan dirangkum. Hasil dari pengukuran dibandingkan dengan standar baku mutu lingkungan. Rata – rata level dari ppm di area industri untuk CO2 adalah 30 ppm, untuk NH3 adalah 28.9 ppm, dan untuk CO adalah 27.08 ppm. Dan juga rata – rata level dari ppm di tempat warga tinggal (perumahan) untuk CO2 adalah 21.32 ppm, untuk NH3 adalah 19.3 ppm, dan untuk CO adalah 20.93 ppm.

Green House Gas Emission Inventory and Energy Use Of TPS3R Flamboyan Using Waste Reduction Model (WARM) V.15 Asrining Ghina Maulidia; Filson Maratur Sidjabat; Temmy Wikaningrum
Journal of Environmental Engineering and Waste Management Vol 8, No 2 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v8i2.3988

Abstract. Emissions are the result of human activities that increase the concentration of greenhouse gas gases such as CCl2F2, CO2, N2O, and CH₄, Increasing the attention of the gases above will increase the greenhouse effect which ultimately increases the earth's temperature. The existence of a waste management site can produce greenhouse gas emissions from vehicle transportation, composting processes, TPA to recycling. One of the roles of Flamboyan's TPS3R is to reduce the amount of plastic waste by recycling and composting and the residue will go to Cipeucang TPA for landfilling. This is an effort to reduce the amount of organic and non-organic waste, but the recycling, and composting. Landfilling processes can produce CO2 in the waste processing and distribution process, so it is necessary to calculate the amount of CO2 from the baseline management of municipal solid waste that will be compared with alternative municipal solid waste scenarios to see the conclusion of the analysis using the Waste Reduction Model (WARM) application. Objectives: The objective of this journal is to calculate the greenhouse gas emission and energy use of TPS3R Flamboyan. Method: The secondary data was obtained from TPS3R Flamboyan’s management. The writer use description analysis. Result: 1. the inventory calculation result of GHG emission current condition and alternative condition are -5,24 and -6,5. 2. Total energy use in the current condition is -58,79 and the alternative condition with HDPE recycling is -92,68 Conclusion: 1. the inventory calculation result of GHG emission current condition and alternative condition are -5,24 and -6,5. 2. Total energy Use in the current condition is -58,79 and the alternative condition with HDPE recycling is -92,68.

Knowledge and attitudes influence in implementation of household waste management program Yemima Marnalita Hasibuan; Filson Maratur Sidjabat
Jurnal Pengelolaan Lingkungan Berkelanjutan (Journal of Environmental Sustainability Management) JPLB, Vol 4, No 2 (2020)
Publisher : Badan Kerjasama Pusat Studi Lingkungan (BKPSL) se-Indonesia bekerjasama dengan Pusat Penelitian Lingkungan Hidup IPB (PPLH-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36813/jplb.4.2.528-536

Waste is one of the big problems often faced by metropolitan cities like DKI Jakarta. The Environmental Agency of DKI Jakarta's research stated that DKI Jakarta produces 7500 tons of waste per day with 60.5% coming from residential. Therefore, the DKI Jakarta government initiated the "Sampah Tanggung Jawab Bersama" (SAMTAMA) to mobilize residential people to manage waste from its source at certain locations as a pilot, one of the locations is RT 10/RW 03 Cempaka Putih Timur. This location is regarded optimal in implementing the SAMTAMA program. Based on this, study aim was to find out whether knowledge and attitude affect the implementation SAMTAMA program. The method implemented in measuring the behavior using a questionnaire with Likert Scale. Multiple linear regression was applied. Knowledge and attitudes influenced the implementation SAMTAMA program behavior.

THE ECO ENZYME APPLICATION ON INDUSTRIAL WASTE ACTIVATED SLUDGE DEGRADATION Wikaningrum, Temmy; Hakiki, Rijal; Astuti, Maryani Paramita; Ismail, Yunita; Sidjabat, Filson Maratur
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 5, NUMBER 2, APRIL 2022
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v5i2.13535

Aim: This study aims to determine whether the application of eco enzyme affects the industrial waste activated sludge degradation and to compare the effects of eco enzyme made from oranges and tomatoes. Methodology and results: The experiments were done on the laboratory scale for 12 days by applying 10% of eco enzyme in the sludge samples. It showed both tomatoes and oranges eco enzymes can decrease the pH from 6.9 to 4.7 compared to control which was stable at 6.9. The reduction of COD, TSS, and VSS by tomato eco enzyme applications were 61%, 39% 41% respectively compared to by orange eco enzyme application that showed a higher reduction of 78%, 45%, 46% respectively. The control samples also show the reduction of COD, TSS, and VSS by 21%, 23%, 30% respectively. The reduction of organic content in the control samples of sludge (8.9%) was higher than the samples with eco enzyme (3.5%). Conclusion, significance, and impact study: The results showed that eco enzyme application significant statistically affected reduction of pH, COD, organic content, but not significant statistically on TSS and VSS reductions. Comparing the application of orange and tomatoes eco enzyme did not show the significant different treatment.

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