MEDIA KOMUNIKASI TEKNIK SIPIL
Media Komunikasi Teknik Sipil (ISSN 0854-1809) published twice in a year, in July and December. The article can be product of researches, scientific thoughts or case study, in civil engineering and isn’t formed by politics, commercialism, and subjectivity unsure. This scientific journal contains articles of thought and research results in Civil Engineering that have never been published in scientific journals or other media.
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<![CDATA[Perkembangan Uji Geser Langsung Skala Ukuran Besar untuk Material Acak Bendungan di Indonesia ]]>
<![CDATA[Sahadewa, Andhika]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.69081
<![CDATA[Dams offer various benefits to life. In the last decade, Indonesia built above 50 dams. These dams majorly are built from geomaterial fill, including random materials. Random materials are very economical and have a low environmental bad impact, so their use tends to be maximized. Zones of random material often affect dam stability. Unfortunately, the evaluation of random material shear strength, a crucial parameter for dam stability analysis, is challenging. The large particles in random materials become an obstacle in shear strength tests using regular size apparatus. In Indonesia, there are several large-scale direct shear test facilities in laboratory and field to reliably test random material shear strength. Each laboratory test facility is owned by Technical Implementation Unit for Hydraulics and Water Geotechnics, PT. Indra Karya (Persero), and River Basin Organization for Bengawan Solo. The field test facility, called ILSDS, was devised by the Indonesian Geotechnical Inztitute in cooperation with Institut Teknologi Bandung and Universiti Teknologi Malaysia. This paper introduces these facilities and presents the results of ILSDS tests on random materials in Rukoh Dam, Aceh. The test results showed variability in shear strength as well as a unique behavior in the stress- strain relationship related to the random material content itself, such as large-grain rich or fine-grain rich materials. This large-scale testing is cost-effective, simple, and reliable. It is greatly recommended as a regular practice in a dam construction.]]>
<![CDATA[Model Berbasis Kecerdasan Buatan untuk Prediksi Kekuatan Beton Geopolimer ]]>
<![CDATA[Khasani, Riqi Radian]]>;
<![CDATA[Hermawan, Ferry]]>;
<![CDATA[Khitam, Akhmad Firdos Khoiril]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.70716
<![CDATA[Geopolymer concrete (GPC) has emerged as a sustainable alternative to conventional concrete, offering reduced carbon emissions and enhanced mechanical properties. However, variability in compressive strength due to material composition poses challenges to its broader adoption. Traditional evaluation methods are often time-consuming and resource-intensive, necessitating the development of precise and efficient predictive tools. This study introduces the optimized least squares moment balanced machine with feature selection (OLSMBM-FS), an advanced AI-based model for accurately predicting GPC compressive strength. The model incorporates backpropagation neural networks (BPNN) for weight assignment, least squares support vector machines (LSSVM) for hyperplane optimization, and the optical microscope algorithm (OMA) for hyperparameter tuning. The study employs a systematic dataset, implementing normalization and feature selection techniques to improve the accuracy and efficiency of the model training process. The OLSMBM-FS was validated using 10-fold cross-validation and demonstrated superior performance compared to other machine learning models. It achieved the lowest RMSE (4.279), MAE (2.291), and MAPE (6.59%), alongside the highest R (0.901) and R² (0.813), confirming its robustness and predictive accuracy. These findings highlight the potential of OLSMBM-FS as a reliable tool for predicting GPC compressive strength, supporting its broader application in sustainable construction practices.]]>
<![CDATA[Pengaruh Rasio Semen - Zeolit dan Jumlah Material Stabilisasi Terhadap Sifat Fisik dan Mekanik Tanah Ekspansif ]]>
<![CDATA[Waani, Joice Elfrida]]>;
<![CDATA[Manoppo, Mecky Richards Emanuel]]>;
<![CDATA[Mandagi, Agnes Tegla]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.72460
<![CDATA[Expansive clays is one of the problematic soils which cause numerous problems in pavement engineering and construction such as on airports, highways and roads. Although cement is widely used commonly perceived as the most conventional materials used in treating expansive soils in geotechnical and geoenvironmental engineering applications, of treating expansive soils the increasing trend of cement production has resulted in considerable environmental issues like raising the greenhouse gas emission. The present investigation aims at documenting the effect of adding zeolite a natural pozzolans as a supplementary cementitious material - on the mechanical and physical behaviour of cement stabilized expansive soil mixture. Specifically the Influence of cement-zeolite ratio and level. Soil samples for testing consisted of two different mixtures, namely Clay Soil with 15% bentonite addition and Clay Soil without bentonite addition, each with five binder contents (5%, 7%,10%, 12%, 14%) and various cement to zeolite ratios (5:0; 7:0; 5:5; 7:3; 5:7; 7:5; 5:9; 7:7) were prepared for experimentation. Tests conducted on all soil mixture samples, namely Compaction Test, CBR and UCS revealed that the effectiveness of adding zeolite on the strength of expansive clay soil mixtures is at cement-zeolite percentages of 10%; 12% and 14%, at all cement-zeolite ratios.]]>
<![CDATA[Analisa Sebaran Genangan Banjir Akibat Keruntuhan Bendungan Tempuran ]]>
<![CDATA[Waryani, Retno Sri]]>;
<![CDATA[Sachro, Sri Sangkawati]]>;
<![CDATA[Edhisono, Sutarto]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.68548
<![CDATA[The Tempuran Dam is one of the oldest dams in Indonesia and is currently experiencing a lot of damage, which could potentially lead to dam failure such as a dam collapse. To reduce the impact of losses resulting from dam collapses, it is necessary to analyze flood inundation patterns in the context of disaster mitigation. The dam failure analysis was modeled using HEC-RAS software with failure conditions due to overtopping and due to piping. The input in this modeling is the PMF plan discharge which is generated using HEC-HMS modeling with the HSS SCS method. The data required for HEC-HMS modeling are raster maps, land use maps, soil type maps and Hersfield method PMP rainfall plans. From the analysis results, it was found that the PMF planned flood was 115.54 m3/sec. The area of the flood inundation due to the collapse of the Tempuran Dam, the bottom piping condition was 2.61 km2 and the depth of the flood varied between 0 m to 3 m, where the area most deeply affected by the inundation was Purwosari Village, Blora Kota District. From the mapping results, the areas affected by flood inundation due to the collapse of the Tempuran Dam are Tempuran Village, Sendangharjo Village, Ngadipurwo Village, Purwosari Village, Patalan Village and Tempurejo Village. Where the fastest flood travel time is 48 minutes to Tempuran Village and the longest flood travel time is 5.25 hours to Tempurejo Village.]]>
<![CDATA[Sistem Koordinasi Simpang Bersinyal (Study Kasus Jalan MT. Haryono Kota Kendari) ]]>
<![CDATA[Nuhun, Ridwan Syah]]>;
<![CDATA[Sulha, Sulha]]>;
<![CDATA[Sabri, Muhammad Sahara Mubarak]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.68317
<![CDATA[Coordination of signalized intersections is an important aspect of urban traffic management which aims to increase the efficiency of vehicle movement and reduce congestion. Jalan MT. Haryono is one of the roads in Kendari City which often experiences traffic jams, especially during rush hours, where on this road section there are two signalized intersections close to each other, namely the Pasar Baru intersection and the GMT intersection, which are separated by a distance of 500 m. The aim of this research is to determine the optimal cycle time in implementing a coordinated signal system at an intersection. With the implementation of coordinated cycle times, the degree of saturation decreases and intersection performance increases because queue lengths and delays are successfully reduced. On weekdays, queue lengths drop to 122 m in the east and 76 m in the west, with delays reducing to 108 seconds in the east and 80 seconds in the west. Meanwhile, on holidays, queue length drops to 94 m in the east and 88 m in the west, with delays reduced to 85 seconds in the east and 76 seconds in the west.]]>
<![CDATA[Galat Pendugaan Lalu Lintas Harian Rata-rata Berdasarkan Jumlah Hari Survei Merujuk pada Regulasi di Indonesia ]]>
<![CDATA[Hendrawan, Hendra]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.70872
<![CDATA[Road infrastructure is an important element that must be well planned where in its implementation it is faced with limited resources. Therefore, traffic surveys conducted for a full year to obtain the Average Annual Daily Traffic (AADT) value used in road planning and design are difficult to obtain. To overcome these obstacles, the government has set the number of survey days for two days and seven days depending on its designation. This study aims to determine the error in estimating the Average Daily Traffic (ADT) based on the number of survey days. Data were obtained through field surveys using an automatic vehicle counter with a tool error value of 10%. The errors calculated include MAE, MAPE, RMSE, and Bias. The results of the study show that the number of survey days affects the magnitude of the error and the range of ADT Bias in predicting the AADT value. The number of survey days for two days, three days, and seven days showed good predictions. The Bias Range as a correction factor for the estimated AADT value is influenced by traffic conditions during the year. The correction factor with 95% CI based on the recommended research results for Road Type 4/2T or 2/1 is in the interval (1.40;-1.59) for a 2-day survey, and (3.92;1.17) for a 7-day survey.]]>
<![CDATA[Estimasi Volume Penumpang Pesawat Udara di Bandar Udara Internasional Adisutjipto Menggunakan Model Gravity ]]>
<![CDATA[Gunawan, Gunawan]]>;
<![CDATA[Mauidzoh, Uyuunul]]>;
<![CDATA[Adiputra, Bangga Dirgantara]]>;
<![CDATA[Dinaryanto, Okto]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.72157
<![CDATA[Demand forecasting is used by airlines to predict the travel behavior of potential passengers. Accurate forecasting is critical to the overall success of an airline. An important element in forecasting is passenger volume estimation. The goal is to predict the number of passengers expected between two cities for a given time interval. Based on this forecast, airlines can make decisions about new routes or additional flights on existing routes. Starting January 2020, all flights to Yogyakarta have landed at Yogyakarta International Airport (YIA) except for flights using propeller aircraft such as ATR which can still use Adisutjipto International Airport (JOG). Adisutjipto International Airport currently only serves 3 routes, namely Yogyakarta (JOG) - Jakarta (HLP) RT., Yogyakarta (JOG) - Bandung (BDO) RT., and Yogyakarta (JOG) - Surabaya (SUB) RT.. The opening of Adisutjipto International Airport to propeller aircraft makes it possible to increase flight frequencies or new routes. For that, it is necessary to estimate the volume of aircraft passengers at Adisutjipto International Airport using the gravity model. The most accurate model is Model 5, where the attraction force is separated into the number of residents of the origin and destination zones and the GRDP of the origin and destination zones, as well as the distance impedance factor and ticket rates are also separated.]]>
<![CDATA[Analisis Stabilitas Keamanan Bendungan Bili-Bili ]]>
<![CDATA[As'ad, Mohammad Bagus Wiratama]]>;
<![CDATA[Suripin, Suripin]]>;
<![CDATA[Wulandari, Dyah Ari]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.71170
<![CDATA[The Bili-Bili Dam located in Gowa Regency, South Sulawesi Province, is a rockfill dam with a central core, featuring a total storage capacity of 375 million m³ and sediment storage capacity of 29 million m³. Due to its high risk of structural failure, Bili-Bili Dam is classified as Class IV (Extreme). Recent developments have shown a decline in dam body stability due to seepage issues. If left unaddressed, this could trigger piping or even structural failure, posing a threat to the sustainability of the reservoir's functions. The objective of this study is to evaluate the safety factor (SF) of the main dam, right wing dam, and left wing dam as an integrated structural system of Bili-Bili Dam. The approach combines both qualitative and quantitative methods, including engineering geological assessments and Geostudio SEEP/W to analyze seepage rates and SLOPE/W to evaluate landslide potential. The analysis results indicate that seepage discharge remains within acceptable limits, and the dam’s stability under Operating Basis Earthquake (OBE) conditions is considered safe. However, under Maximum Design Earthquake (MDE) conditions, the slope safety factor does not meet the minimum standard required by SNI 8064:2016. Therefore, remedial actions such as reinforcement or retrofitting of the dam body are necessary.]]>
<![CDATA[Studi Kepustakaan Analisis Bendungan Lere di Pulau Sabu, Kabupaten Sabu-Raijua, Propinsi NTT ]]>
<![CDATA[Laurentia, Susilawati Cicilia]]>;
<![CDATA[Purwantini, Purwantini]]>;
<![CDATA[Sidiq, Alif Lombardoaji]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.68576
<![CDATA[Sabu Island, Sabu-Raijua Regency, is dry area, recorded having Lere Dam, which is no functioning, caused by a sinkhole in the inundation area, and the water disappears immediately becomes dry. The dam rehabilitation requires a desk-study for the potential agriculture and raw water produced. The study methodology includes: monitoring the existing dam; monitoring results analysis consisting of hydrological, geographical analysis and river basin simulation; recommendations for the axis location of the dam with its optimal and effective storage capacity. The results of the geographical analysis and simulation, show that the location of the main dam axis needs to be shifted upstream at the axis position from 10029'41.86"LS and 121056'37.39"BT to 10029'47.29"LS and 121056'41.87"BT. The rainwater catchment area obtained from this analysis is 415,5 ha. With a simulation of a 9,0 m embankment height, it will provide a reservoir storage volume of 1,100 MCM. As a conclusion, it can be written that this dam analysis desk-study is faster and more cost-effective in finding the optimal reservoir capacity and effective dam height. This study needs to be continued by conducting a field survey and detailed analysis.]]>
<![CDATA[Perbandingan Pola Distribusi Hujan GPM dan ARR dalam Simulasi Banjir Desain ]]>
<![CDATA[Setiyowati, Yunita Ayu]]>;
<![CDATA[Harisuseno, Donny]]>;
<![CDATA[Sajali, M. Amar]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025 ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v31i1.72441
<![CDATA[This study evaluates the performance of Global Precipitation Measurement (GPM) satellite-based rainfall data in comparison to Automatic Rainfall Recorder (ARR) data in forming rainfall distribution patterns and assessing its impact on flood discharge simulation using the HEC-HMS model. Statistical validation was conducted using the Pearson Correlation Coefficient, the ratio of standard deviation of observations to RMSE (RSR), Percent Bias (PBIAS), and Mean Absolute Percentage Error (MAPE). The results show that GPM has a strong correlation with ARR (r = 0.875) and a low RSR value (RSR= 0.256), yet it exhibits a notable negative bias (PBIAS = –24.41%), indicating an underestimation of rainfall values. In contrast, simulations using ARR rainfall patterns produce peak discharges that closely match actual discharge records at the Jatigede Dam outlet, with an average deviation of less than 3% and a MAPE of 1.17%, categorized as very good. The GPM simulation produces peak discharges 13–16% higher than actual observations, with a MAPE of 14.53%, which still falls into the good category. These results suggest that while ARR provides higher accuracy, GPM remains a viable alternative source, especially in data-scarce areas, provided that appropriate calibration methods such as bias correction are applied. This study supports future research in satellite data calibration using machine learning and multivariate statistical approaches.]]>
