Jurnal Saintis最新文献

{"title":"Infiltration Well Efficacy in Citarum Basin Based on Rainfall-Runoff Volumetric Analysis","authors":"Natio Jiwa Ksatria, Taofik Hidayatullah, Fuad Hasan, Novreta Ersyi Darfia, Syarvina, Muhammad Rizky Kumaryadi","doi":"10.25299/saintis.2022.vol22(01).8693","DOIUrl":"https://doi.org/10.25299/saintis.2022.vol22(01).8693","url":null,"abstract":"[EN] Run-off management is the main challenge of every big city. Land availability, project timeframe, and financing are several issues regarding run-off management implementation, including Indonesia’s Capital City, Jakarta. One of the engineering tools that used to reduce the negative impacts of run-off in Jakarta is Infiltration Well. Several researches on this topic confirm the positive impact of building infiltration well on small catchment area. This study aims to understand the efficacy of infiltration well project on big basin area, the Ciliwung Basin. Ciliwung basin is divided into two sub-basin, Upstream Ciliwung and Downstream Ciliwung. The analysis is performed using volumetric abstraction of infiltration well volume and daily infiltration rate. 4 rainfall stations are used in this study, 2-gauge rainfall stations on each basin. Infiltration well capacity is tested with different return-period rainfall based on daily and storm-rainfall (3-days cumulative rainfall). The results show that by implementing 1 million infiltration wells at each sub-basin the abstraction volume is below 10% for 10-year return period rainfall and below 5% for 25-year return period rainfall.","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47220046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemrograman Linier untuk Optimalisasi Operasi Mobilisasi (Studi Kasus pada Operasi Hulu Pengeboran Minyak dan Gas)","authors":"Muhammad Rilly Aka Yogi, Benny Hamdi Rhoma Putra, Fitra Lestari","doi":"10.25299/saintis.2022.vol22(01).7476","DOIUrl":"https://doi.org/10.25299/saintis.2022.vol22(01).7476","url":null,"abstract":"[ID] Studi kasus pada penelitian ini diadopsi pada sebuah perusahaan multinasional yang bergerak dalam operasi hulu pengeboran minyak dan gas di Indonesia. Penelitian ini bertujuan untuk mendistribusikan beban dari berbagai fasilitas yang ada pada area pengeboran melalui simulasi optimalisasi mobilisasi Concrete Slab (CS). CS diperlukan dalam operasi pekerjaan persiapan lokasi pengeboran. Kemudian, Pendekatan Simulasi dilakukan menggunakan metode pemrograman linier terhadap kondisi batas antara lain peralatan, durasi, dan jarak melalui fungsi tujuan adalah untuk menekan biaya operasional selama kurun waktu 1 tahun operasi terhadap operasi eksisting pada tahun sebelumnya. Hasilnya ditemukan bahwa terdapat potensial reduksi biaya sebesar 31.36% melalui optimalisasi pada rute operasi. Disarankan penelitian lebih lanjut untuk menentukan total faktur tahunan yang optimal dengan multi variable dalam memobilisasi material, pelat beton (concrete slab), dari satu lokasi ke lokasi lainnya. \u0000[EN] The case study in this study was adopted by a multinational company engaged in upstream oil and gas drilling operations in Indonesia. This study aims to distribute material from various existing facilities in the drilling area through a simulation of optimization of Concrete Slab (CS) mobilization. CS is required in the operation of drilling site preparation work. Then, the simulation approach is carried out using a linear programming method for boundary conditions including equipment, duration, and distance through the objective function is to reduce operational costs for a period of 1 year of operation against existing operations in the previous year. The results found that there is a potential for cost reduction of 31.36% through optimization of the operating route","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46837348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimasi Biaya Pemeliharaan Bangunan Mall di Indonesia (Studi Kasus Kota Palembang)","authors":"B. Susanti, Mona Foralisa Toyfur, Merri Sho","doi":"10.25299/saintis.2022.vol22(01).9150","DOIUrl":"https://doi.org/10.25299/saintis.2022.vol22(01).9150","url":null,"abstract":"[ID] Di kota besar seperti Palembang terdapat beberapa bangunan mall yang telah berusia belasan tahun dan mengalami kerusakan arsitektur. Salah satu faktor penyebab kerusakan dikarenakan masa pakai bangunan atau yang disebut dengan degradasi. Untuk mengembalikan kondisi bangunan ke keadaan semula dan memperpanjang umur bangunan, diperlukan pemeliharaan dengan melakukan perbaikan atau penggantian komponen bangunan. Pemeliharan bangunan memerlukan biaya yang terencana. Hal yang menjadi fokus penelitian ini adalah pemeliharaan preventif dan corrective. Tujuan penelitian ini adalah menghitung estimasi besaran biaya pemeliharaan bangunan untuk 10 tahun mendatang. Metode Composite Condition Index digunakan untuk menghitung besar tingkat kerusakan bangunan. Penggantian komponen bangunan dilakukan dengan memprediksi kondisi komponen bangunan, sedangkan estimasi biaya pemeliharaan menggunakan metode analisis nilai masa depan. Analisis data menggunakan data kuantitatif dengan variabel penelitian adalah semua biaya pemeliharaan. Hasil perhitungan menunjukkan nilai Indeks Kondisi Bangunan untuk komponen arsitektur bangunan mall adalah 76,24% yang berarti ada 23,76% kerusakan bangunan. Kerusakan terbesar terjadi pada area koridor yaitu sebesar 25,47% dengan Indeks Kondisi Bangunan sebesar 74,53%. Biaya pemeliharaan tertinggi terjadi pada tahun ke-7 sebesar USD 580,854. Biaya ini meningkat 5,8 kali lipat dibandingkan tahun pertama, dengan penggantian material komponen terbesar untuk komponen lantai dan pengecatan dinding. \u0000[EN] In a big city like Palembang, several mall buildings are a dozen years old and have architectural damage. One factor that causes damage is the life of the building or what is called degradation. Maintenance is required to restore the condition of the building to its original state and extend its life. Maintenance is done by repairing or replacing building components. Building maintenance requires planned costs. This research focuses on preventive and corrective maintenance. This study aims to calculate the estimated cost of building maintenance for the next ten years. We used the Composite Condition Index method to calculate the level of damage to the building. Replacement of building components was done by predicting the condition while estimating maintenance costs using the future value analysis method. Data analysis using quantitative data with research variables are all maintenance costs. The calculation results show the Building Condition Index value for the architectural component of the mall building is 76.24%, which means there is 23.76% building damage. The most significant damage occurred in the corridor area, 25.47%, with 74.53% a Building Condition Index. The highest maintenance costs happened in the 7th year of USD 580,854. Compared to the first year, this cost increased 5.8 times, with the most extensive component material replacement for flooring and wall painting components.","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44492225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Keruntuhan Bendungan Akibat Piping dan Pemetaan Genangan Banjir (Studi Kasus : Bendungan Saguling)","authors":"Bahri Suhada, Hari Nugroho, Suprapto, Henny Herawati","doi":"10.25299/saintis.2022.vol22(01).8081","DOIUrl":"https://doi.org/10.25299/saintis.2022.vol22(01).8081","url":null,"abstract":"[ID] Salah satu upaya penanggulangan kegagalan bendungan adalah penyusunan Rencana Tindak Darurat. Rencana tindak darurat memuat peta genangan banjir akibat keruntuhan. Peta genangan banjir merupakan aspek penting karena menjadi dasar dalam pengambilan keputusan penanggulanan kegagalan bendungan. Peta genangan banjir diperoleh dari analisis keruntuhan bendungan. Penelitian ini melakukan analisis keruntuhan bendungan Bendungan Saguling yang merupakan bendungan kaskade di Wilayah Sungai Citarum. Analisis keruntuhan dalam penelitian ini terdiri analisis hidrograf keruntuhan menggunakan HEC-HMS, penelusuran banjir menggunakan HEC-RAS, dan pengolahan informasi spasial menggunakan QuantumGIS. Skenario keruntuhan bendungan yang dimodelkan adalah keruntuhan akibat piping saat sunnyday dengan variasi initial piping pada 1/3 ketinggian, ½ ketinggian dan 2/3 ketinggian bendungan. Hasil analisis hidrograf keruntuhan dari ketiga skenario tersebut cenderung mirip dengan debit puncak keruntuhan sebesar 61193,6 m3/dt. Keruntuhan Bendungan Saguling mengakibatkan Bendungan Cirata mengalami overtopping. Sedangkan Bendungan Jatiluhur tidak mengalami overtopping apabila Bendungan Cirata tidak mengalami keruntuhan. Peta genangan banjir akibat keruntuhan Bendungan Saguling pada ketiga skenario cenderung mirip. Jumlah desa terdampak dengan jarak dari Bendungan Saguling kurang dari 10 km sebanyak 6 desa daro 10 desa. Desa Baranangsiang dan Desa Saguling adalah desa pertama yang terdampak banjir akibat keruntuhan Bendungan Saguling dengan estimasi waktu kedatangan banjir ± 0,25 jam semenjak dimulai keruntuhan \u0000  \u0000[EN] One of the efforts to overcome dam failure is preparing an Emergency Action Plan. The emergency action plan contains a map of the flood inundation due to the collapse. The flood inundation map is essential because it becomes the basis for making dam failure management decisions. The flood inundation map was obtained from the dam break analysis. This study analyzes the Saguling Dam collapse, a cascade dam in the Citarum River Basin. The failure analysis in this study consisted of collapse hydrograph analysis using HEC-HMS, flood routing using HEC-RAS, and processing of spatial information using QuantumGIS. The dam failure scenario modelled is due to piping on sunny days with initial piping variations at 1/3 height, height and 2/3 height of the dam. The results of the failure hydrograph analysis of the three scenarios tend to be similar to the failure peak discharge of 61193.6 m3/s. The collapse of the Saguling Dam caused the Cirata Dam to be overtopped. Meanwhile, Jatiluhur Dam does not experience overtopping if the Cirata Dam does not collapse. The flood inundation maps due to the collapse of the Saguling Dam in the three scenarios tend to be similar. The number of affected villages less than 10 km from the Saguling Dam is six out of 10 villages. Baranangsiang Village and Saguling Village are the first villages affected by flooding due to the collapse of the","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49347094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Kelayakan Finansial Pembangunan Koneksi Pelabuhan Kapal Ro-Ro Dumai – Malaka Metode Deterministik","authors":"Yoga Budi","doi":"10.25299/saintis.2021.vol21(02).7584","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).7584","url":null,"abstract":"[ID] Dalam rangka mendorong pengembangan kawasan implementasi Masyarakat Ekonomi ASEAN (MEA) Pelabuhan Penyeberangan Ro-Ro Dumai – Melaka menjadi salah satu dari tiga Pelabuhan Penyeberangan Ro-Ro yang akan diprioritaskan pengembangannya. Dalam rangka merealisasikan program tersebut, perlu dilakukan persiapan berupa penyediaan fasilitas pokok dan fasilitas yang akan menggunakan pendanaan/investasi yang besar. Dengan nilai investasi yang besar, maka diperlukan analisa kelayakan finansial pada rencana pembangunan koneksi kapal Ro-Ro Dumai – Malaka. Besar total investasi adalah Rp. 56.702.000.000,00 dengan umur rencana proyek selama 30 tahun. Metode analisa kelayakan finansial yang dipakai melalui pendakatan deterministik. Berdasarkan hasil Net Present Value/NPV bernilai negatif dengan nilai NPV adalah Rp.-11.520.600.000 pada akhir umur rencana. Selanjutnya berdasarkan dari perhitungan Internal rate of return (IRR) didapatkan nilai IRR 3,75% dimana nilai ini lebih kecil dari nilai discount rate yaitu 4,92%. Dan berdasarkan hasil Benefit Cost Ratio (BCR) didapat nilai BCR 0,832 (BCR < 1). Berdasarkan hasil analisa sensitivitas diketahui variabel yang paling sensitif (berpengaruh) adalah biaya konstruksi dermaga dan fasilitas pelabuhan. Dari hasil tersebut dapat dinyatakan bahwa rencana pembangunan rute koneksi kapal Ro-Ro Dumai – Malaka tidak layak secara finansial. \u0000[EN] In order To encourage the development of the ASEAN Economic Community (MEA) implementation area, the Dumai–Melaka Ro-Ro Ferry Port is one of the three Ro-Ro Ferry Ports that will be prioritized in the development. In order to be able to realize the program it is necessary to make preparations in the form of basic facilities and facilities that require a lot of money/investments. The aim of this research is to analyze the financial feasibility with a deterministic approach (one-point estimate) and to identify the most sensitive (influential) variable on the financial plan for the construction of the Dumai-Malacca Ro-Ro ship connection route and how much influence it so that it can be a reference for solution-making scenarios decisions that can be made by the government, companies and investors to invest comprehensively in the planned construction of the Dumai-Malacca Ro-Ro ship connection route. The total investment is Rp. 56,702,000,000.00 with a project duration of 30 years. The method used for financial feasibility analysis is through a deterministic approach. Based on the results the net present value/NPV is negative with an NPV value of Rp 11,520.6 million at the end of the term. In addition, based on the internal rate of return (IRR) calculation, an IRR value of 3.75% was obtained where this value is less than the discount rate value of 4.92%. And based on the results of the Benefit Cost Ratio (BKR), a BKR value of 0.832 (BKR<1) was obtained. Based on the results of the sensitivity analysis, it is known that the most sensitive (influential) variable is the cost of constructing ","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42448074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Respons dan Kinerja Struktur Bangunan Gedung Menggunakan Pushover Analysis","authors":"Arie Putra Usman, Rosidawani, Sri Palta Mutmainna","doi":"10.25299/saintis.2021.vol21(02).7585","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).7585","url":null,"abstract":"[ID] Indonesia merupakan negara dengan resiko gempa tinggi, hal ini diakibatkan oleh pertemuan lempeng-lempeng tektonik utama dan lempeng kecil lainnya yang mengelilingi Indonesia. Setiap wilayah indonesia memiliki tingkat resiko gempa yang berbeda-beda, mulai dari resiko gempa rendah hingga resiko gempa tinggi. Tujuan dari penelitian ini adalah mengetahui perbandingan respons dan kinerja struktur suatu bangunan gedung di beberapa wilayah yang mewakili tingkat resiko gempa rendah hingga tinggi. Adapun wilayah-wilayah yang ditinjau dalam penelitian ini yaitu wilayah Pontianak, Palembang, Jakarta, Bandar Lampung, dan Palu. Analisis dilakukan pada bangunan beton bertulang empat lantai dengan dinding geser dengan menggunakan bantuan program SAP 2000 guna mendapatkan repons dan kinerja struktur. Hasil respons struktur dari penelitian menunjukkan nilai simpangan lateral lantai dari yang terbesar hingga terkecil yaitu dimulai dari wilayah Palu, Bandar Lampung, Jakarta, Palembang, dan Pontianak.  Wilayah Palu memiliki nilai simpangan lateral lantai yang terbesar yaitu 23,745 mm dan 23,690 mm untuk arah X dan Y sedangkan wilayah Pontianak memiliki nilai simpangan lateral lantai terkecil dengan besar simpangan lateral 7,571 mm dan 7,439 mm untuk arah X dan Y. Berdasarkan analisis pushover didapatkan level kinerja struktur memiliki level kinerja B untuk Wilayah Palu dan IO untuk wilayah lainnya. \u0000[EN] Indonesia is a country with a high risk of earthquake due to the meeting of the main tectonic plates and other small plates that surround Indonesia. Each area in this country has a different level of earthquake risk, ranging from low to high earthquake risk. This study aims to compare the response and structural performance of buildings in some areas with low to high earthquake risk levels. The areas covered Pontianak, Palembang, Jakarta, Bandar Lampung, and Palu. The analysis was carried out on a four-story reinforced concrete with shear walls using the SAP 2000 program to obtain the response and performance of the building structure. The results of the structural response showed the value of the floor lateral deviation from the largest to the smallest, starting from Palu, Bandar Lampung, Jakarta, Palembang, and Pontianak. Pulu has the largest floor lateral deviation values of 23.745 mm and 23.690 mm for the X and Y directions, while Pontianak has the smallest floor lateral deviation values of 7.571 mm and 7.439 mm for the X and Y directions. Based on the pushover analysis, the structure has a performance level of B for Palu areas and IO for other areas.","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45728849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Kebutuhan Penyediaan Air Bersih di Kota Palembang City","authors":"M. A. Kurniawan, HeningRahma Fitriani, Febrian Hadinata","doi":"10.25299/saintis.2021.vol21(02).7611","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).7611","url":null,"abstract":"[ID] Cakupan pelayanan air bersih di Kota Palembang pada tahun 2020 sebesar 83,22%, sehingga masih ada 16,78% penduduk Kota Palembang yang belum dapat terlayani. Kondisi tersebut akan semakin memburuk seiring bertambahnya kebutuhan air tiap tahunnya. Penelitian ini bertujuan untuk mengetahui cakupan pelayanan, kebutuhan air maksimum dan neraca air, sehingga diharapkan dapat menjawab persoalan yang akan dibahas. Penelitian dimulai dengan melakukan proyeksi penduduk dan proyeksi pelanggan. Hasil proyeksi akan menghasilkan proyeksi cakupan pelayanan. Perhitungan kebutuhan air didapatkan dari kebutuhan dari jumlan pelanggan yang telah diproyeksikan. Selanjutnya proyeksi kebutuhan air akan dihubungkan dengan rencana penambahan kapasitas produksi sehingga menghasilkan neraca air. Hasil penelitian menunjukkan bahwa pada tahun 2021 dan tahun selanjutnya diproyeksikan cakupan pelayanan akan mengalami perbaikan dan pada tahun 2030 pelayanan air bersih 100% Kota Palembang dapat tercapai. Kebutuhan air pada tahun 2021 sebesar 4.875 lps dan semakin meningkat pada tahun berikutnya hingga pada tahun 2033 kebutuhan air mencapai 7.146 lps. Kondisi neraca air juga diproyeksikan akan mengalami perbaikan, dimana pada tahun 2020 masih mengalami defisit kapasitas sebesar 257 lps dan pada tahun berikutnya hingga tahun 2031 dapat mempertahankan surplus kapasitas. \u0000[EN] The coverage of clean water services in Palembang City in 2020 is 83.22%, so there are still 16.78% of the population of Palembang City who have not been served. This condition will worsen as the demand for water increases every year. This study aims to determine service coverage, maximum water demand and water balance, so that it is expected to be able to answer the issues to be discussed. The research begins by conducting population projections and customer projections. The projection results will produce a projection of service coverage. The calculation of water needs is obtained from the needs of the projected number of customers. Furthermore, the projected water demand will be linked to the plan to increase production capacity so as to produce a water balance. The results of the study show that in 2021 and the following year it is projected that service coverage will improve and in 2030 100% clean water services for Palembang City can be achieved. The need for water in 2021 is 4,875 lps and will increase in the following year until in 2033 the water needs will reach 7,146 lps. The condition of the water balance is also projected to improve, where in 2020 it will still experience a capacity deficit of 257 lps and in the following year until 2031 it can maintain a capacity surplus.","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41350343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Karakterisasi Limbah Cair Greywater pada level Rumah Tangga Berdasarkan Sumber Emisi","authors":"S. Khotimah, Nur Anisa Mardhotillah, Nur Arifaini, Sumiharni","doi":"10.25299/saintis.2021.vol21(02).7876","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).7876","url":null,"abstract":"[ID] Limbah cair greywater merupakan limbah cair hasil aktivitas dapur, pencucian pakaian dan kamar mandi. Produksi limbah greywater rumah tangga sekitar 70–75% dari total produksi limbah cair rumah tangga dengan kandungan polutan yang rendah. Terkait dengan tingginya volume produksi limbah cair greywater, limbah greywater berkontribusi sekitar 70-80% dalam  pencemaran badan air. Namun demikian, volume produksi limbah greywater yang tinggi ini justru dapat dijadikan sumber alternatif baru air bersih jika dilakukan pengolahan limbah dengan baik dan tepat. Di dalam pengolahan limbah greywater ini dibutuhkan data karakteristik agar pengolahanya menjadi tepat. Permasalahannya ketersediaan data karakteristik greywater sangat minim, karena itulah dilakukan penelitian ini. Penelitian ini bertujuan untuk melakukan karakterisasi limbah cair greywater berdasarkan sumber emisinya dengan parameter yang dilihat adalah BOD, COD, TSS, DO, temperature, pH dan turbidity dari masing-masing sumber limbah cair greywater dan juga kondisi limbah yang sudah tercampur dari ketiga sumber limbah. Penelitian dilakukan dengan mengambil sampel sebanyak 12 sampel dari suatu rumah tangga. Dari hasil penelitian menunjukan bahwa limbah dapur merupakan limbah dengan kandungan yang terberat dibandingkan limbah lainnya dari greywater. Kandungan BOD dan COD Dapur menduduki nilai tertinggi dengan nilai  250-1000 mg/L untuk BOD dan 840-3430 mg/L untuk COD. Kandungan BOD dan COD limbah greywater terendah berasal dari limbah kamar mandi dengan kandungan BOD 6-100 mg/L sedangkan kandungan COD 19,4-143 mg/L. Keseluruhan rasio BOD/COD menunjukkan nilai berkisar 0,2-0,5 yang artinya limbah adalah biodegradable. Kadar pH dari keduabelas sampel berkisar dari 4,2-6,5. Kandungan TSS tertinggi berasal dari dapur dengan nilai 202 – 620 mg/L. \u0000[EN] Greywater  is wastewater generated from kitchen, laundry and bath activities. Its production is about 70–75% of the total household wastewater. Related to the high volume of greywater production, greywater  contributes around 70-80% in polluting water bodies. By appropriate treatment, the high volume of greywater production can be used as a new alternative of water source. Unfortunately, the availability of greywater  characteristic data is very limited in existence. This study aims to characterize greywater effluent based on its emission source with focus parameters were BOD, COD, TSS, DO, temperature, pH and turbidity from each source of greywater effluent and also the mixed waste conditions from the three waste sources. The study was conducted by taking  12 samples from a household. The results of the study show that kitchen waste is the heaviest pollutant content compared to other waste from greywater. The content of BOD and COD in the kitchen occupies the highest value with a value of 250-1000 mg/L for BOD and 840-3430 mg/L for COD. The lowest BOD and COD content of greywater came from bathroom waste with a BOD content of 6-100 mg/L while the COD c","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49012638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengaruh Tiang Terhadap Kapasitas Dukung Pelat dan Modulus Reaksi Tanah-Dasar pada Tanah Gambut","authors":"Aazokhi Waruwu, Santo Yanri Pardosi","doi":"10.25299/saintis.2021.vol21(02).7546","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).7546","url":null,"abstract":"[ID] Lahan gambut yang tersebar luas dapat menghambat pengembangan infrastruktur, karena tanah ini termasuk jenis tanah bermasalah sebagai tanah dasar. Tanah gambut memiliki penurunan yang tinggi dan kapasitas dukung rendah. Tiang perkuatan memiliki potensi dalam mengurangi penurunan, meningkatkan kapasitas dukung dan modulus reaksi tanah-dasar. Penelitian ini bertujuan untuk mengetahui kapasitas dukung dan modulus reaksi tanah-dasar pada pelat yang diperkuat tiang tunggal. Penelitian dilakukan pada bak uji yang diisi dengan tanah gambut sedalam 50 cm. Tiang dari bahan bambu, kayu, dan beton dipancang dalam tanah gambut. Panjang tiang yang digunakan adalah 10-40 cm dan diameter pelat beton sebesar 10 cm. Uji beban pelat dilakukan pada pelat tanpa dan dengan perkuatan tiang untuk mendapatkan nilai kapasitas dukung dan modulus reaksi tanah-dasar. Hasil penelitian didapatkan bahwa jenis dan panjang tiang berpengaruh pada nilai kapasitas dukung, deleksi, dan modulus reaksi tanah-dasar. Tiang yang lebih panjang menghasilkan kapasitas dukung dan modulus reaksi tanah-dasar yang tinggi dan defleksi yang semakin rendah. Kapasitas dukung meningkat 20% untuk tiang bambu, 22% untuk tiang kayu, dan 25% untuk tiang beton. Peningkatan modulus reaksi tanah-dasar didapatkan pada defleksi pelat maksimum 20% dari diameter pelat. Peningkatan tertinggi untuk tiang bambu sebesar 103%, tiang kayu 128%, dan tiang beton sebesar 160%. Panjang tiang yang memberikan hasil maksimal dalam mereduksi penurunan, meningkatkan kapasitas dukung, dan meningkatkan modulus reaksi tanah-dasar adalah 80% dari tebal lapisan tanah gambut. Nilai modulus reaksi tanah-dasar semakin tinggi seiring dengan peningkatan kapasitas dukung dan pengurangan defleksi. \u0000[EN] Widespread peatlands can prevent infrastructure development, because this soil is classified as problematic soil types as subgrade. Peat soil has high settlement and low bearing capacity. Reinforcement pile has the potential to reduce settlement, increase bearing capacity and modulus of subgrade reaction. This study aims to determine the bearing capacity and modulus of subgrade reaction on a single pile reinforced slab. The study was conducted in a test box filled with peat soil as deep as 50 cm. Pile made of bamboo, wood, and concrete are driven in peat soil. The length of the pile used is 10-40 cm and the diameter of the concrete slab is 10 cm. The plate load test was conducted on slabs without and with reinforced piles to obtain the value of the bearing capacity and modulus of subgrade reaction. The results showed that the type and length of the pile affect the value of the bearing capacity, deflection, and modulus of subgrade reaction. Longer piles result in higher bearing capacity and modulus of subgrade reaction and lower deflection. The bearing capacity increased by 20% for bamboo pile, 22% for wooden pile, and 25% for concrete pile. An increase in the modulus of subgrade reaction is obtained at a maximum slab deflection of 2","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47577127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rasionalisasi Kerapatan Stasiun Hujan Wilayah Sungai Rokan Berdasarkan Data Hujan Harian dan Variasi Tingkat Kesalahan","authors":"Dehas Abdaa, M. Fauzi, Ari ' Sandhyavitri","doi":"10.25299/saintis.2021.vol21(02).6839","DOIUrl":"https://doi.org/10.25299/saintis.2021.vol21(02).6839","url":null,"abstract":"[ID] Sebaran lokasi dan jumlah stasiun hujan ideal akan merepresentasikan kejadian hujan untuk menunjang akurasi informasi analisis di suatu wilayah. Kerapatan stasiun hujan eksisting dikaji berdasarkan metode standar World Meteorogical Organization sedangkan analisis rasionalisasi jumlah dan sebaran stasiun hujan berdasarkan data hujan harian dan variasi tingkat kesalahan menggunakan Metode Kagan-Rodda. Metode Kagan-Rodda telah digunakan di beberapa wilayah penelitian dengan beragam kategori fisiografi dan lingkup terbatas pada daerah aliran sungai. Sehingga dirasa perlu melakukan pengembangan cakupan penelitian untuk wilayah yang lebih luas yaitu Wilayah Sungai. Lokasi penelitian adalah Wilayah Sungai Rokan dengan fisiografi dataran tropis mediteran dan sedang seluas 22.455,28 km². Stasiun hujan eksisting berjumlah 13 stasiun hujan dan 1 stasiun tidak lolos Uji F, koefisien luasan Thiessen eksisting tidak merata sebesar 165,03 km2-3.758,12 km2 (0,007-0,17), dan korelasi hujan harian sebesar 0,03-0,37. Evaluasi analisis WMO menghasilkan 7 stasiun hujan yang memenuhi standar untuk luas daerah pengaruh sebesar 1.000–2.500 km2/stasiun. Perhitungan metode Kagan-Rodda dilakukan 2 skenario kesalahan perataan, skenario I dengan kesalahan perataan (Z1) sebesar 4,93% menghasilkan 37 stasiun hujan, luasan pengaruh Thiessen 273,89 km2–1197,80 km2 (0,01-0,05), nilai r(0) sebesar 0,20, jarak antar stasiun hujan sejauh 26,36 km, dan 2 stasiun memenuhi standar WMO. Sedangkan skenario II dengan Z1 sebesar 9,72% menghasilkan 10 stasiun hujan, dimana mempertahankan 2 stasiun, memindahkan 8 stasiun dan menutup 3 stasiun diperoleh luasan pengaruh Thiessen 1.691,71 km2–2.488,21 km2 (0,08-0,11), jarak antar stasiun hujan sejauh 50,70 km, dan seluruh stasiun memenuhi standar WMO. Rasionalisasi metode Kagan-Rodda skenario II relatif mewakili luas pengaruh wilayah dibandingkan skenario I. \u0000[EN] The distribution of locations and the number of ideal rain stations will represent rain events to support the accuracy of analytical information in an area. The density of existing rain stations was assessed based on the standard method of the World Meteorological Organization, while the rationalization analysis of the number and distribution of rain stations based on daily rainfall data and variations in error rates used the Kagan-Rodda method. The Kagan-Rodda method has been used in several research areas with various physiographic categories and limited scope in watersheds. So it is necessary to develop the scope of research for a wider area, namely the River Basin. The research location is the Rokan River Basin with physiography of the Mediterranean and medium tropical plains covering an area of ​​22,455.28 km². The existing rain stations are 13 rain stations and 1 station does not pass the F test, the coefficient of the existing Thiessen area is uneven at 165.03 km2-3,758.12 km2 (0.007-0.17), and the daily rainfall correlation is 0.03-0, 37. WMO analysis evaluation resulted ","PeriodicalId":33295,"journal":{"name":"Jurnal Saintis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42108846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}