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Paper Writting StipulationPapers on JIFAM - The Journal of Infrastructure & Facility Asset Management Journal is regulated by general stipulation as follows.- Papers must be a real work of the author.- Papers has never been published in other media.- Papers must contain discussion about Infrastructure & Facility Asset Management.- Papers must contains a new discussion, judging based on the discussion that has been published in previous JIFAM.- The paper has to take references from Scientific Journal with minimum of 5 papers.- Paper lengths are limited in 8-16 pages.- Paper Template can be downloaded on the website http://https://iptek.its.ac.id/index.php/jifamScope of TopicJIFAM accepts papers on Infrastructure & Facility Asset Management. The scope of the topic includes, but not limited to,- I & F Function- I & F Demand - Supply- I & F User Behavior- I & F Policy- I & F Planning- I & F Administration Aspects- I & F Operation System- I & F Maintenance System- I & F Evaluation Technique- I & F Disposal- I & F Economical Aspect- I & F Financial Aspect- I & F Management Organization- I & F Spatial Aspects and Environmental AspectsReviewerTrihanyndio R. S.ST., MT., Ph.D, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaProf. Dr. Ir. Ria Asih A. S. M.Eng, Institut Teknologi Sepuluh Nopember (ITS), SurabayaIr. Achmad Wicaksono M.Eng., Ph.D, Universitas Brawijaya (UB), MalangDr. Ir. Alex Abdi Chalix MM., MT., Kementerian Pekerjaan Umum dan Perumahan Rakyat (PUPR), Jakarta.Prof. Dr.Tech.Ir. Danang Parikesit MSc.. University Network For Indonesia Infrastructure Development, Indonesia.Prof.madya Dr. Maimunah Bt Sapri, Real Estate Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.Mahendra A. M. ST., MT., Ph.D, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaDr. Dwa Desa Warnana S.Si., MSi, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaDr. Eng Januarti Jaya Eka P. ST., MT, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaWahyu Caesarendra, ST., M. Eng., Ph.D., Departement Integrated Technology, University Brunei Darussalam, Brunei Darussalam
Communication Technology Rebuilding A Better Global Civilization on Earth
The disruption of communication technology causes humans to continue to reflect on who they are and how they view the world. The more humans utilize communication technology that continues to change, the more they will examine their existence and the model of social interaction that underlies their lives, and the greater the opportunity for humans to shape communication technology in ways that improve the world situation. Humans reflect on themselves as sources of authority and meaning. Liberals with a subjectivist view emphasize the experiences that occur within humans, so humans must find within themselves the meaning of everything that happens so that they can inspire meaning for the universe. Meanwhile, Dataist with an intersubjectivity view emphasize that meaning occurs in a network of stories mutually told among many people in one world as an experience of one individual. Thus, the essence of humanism in the experience of intersubjectivity reflects humans as a source of authority and meaning occurring in a network of stories told to each other among many people worldwide. The acceleration of communication technology, especially computer algorithms, is used to read stories told by many people in one world, analyze the structure or elements of each story, and turn the stories of many people into wisdom for a better global civilization on Earth. Based on the above reasoning, this article offers a solution to efforts to rebuild global civilization on Earth with the contribution of computer algorithms. Optimally, communication technology with intelligent computer algorithms strengthens the social order, bringing global citizens closer together as one human civilization. The empowerment of communication technology through computer algorithms creates a better global civilization by implementing the values of freedom and equality for humanity. The research method uses a phenomenological methodology, while the theoretical framework uses intersubjective theory and data theory
Catalytic Cracking of Polypropylene-Low Density Polyethylene Pyrolysis Oil over Hierarchical H-ZSM-5 Catalyst
The conversion of plastic waste into liquid fuel has become the center of attention by researchers as a way to overcome environmental problems. According to last research, the polypropylene (PP) and low-density polyethylene (LDPE) pyrolysis oil mixture was classified into hydrocarbon range diesel which have the number of carbon atom from C12-C24. Because that, the effect of LDPE/PP pyrolysis oil over hierarchical H-ZSM-5 catalyst on hydrocarbon composition of liquid fuel oil using the catalytic cracking reactor at 200 oC was investigated. Hierarchical H-ZSM-5 catalyst (hH-ZSM-5) was obtained from H-ZSM-5 modified by desilication method using NaOH. Gas chromatography-mass spectrometry showed that the liquid fuel oil from the catalytic cracking of all variations consisted of aliphatic hydrocarbons with some cycloaliphatic compounds. In ratio of 250 mL/0.5 g (oil/catalyst) aromatic hydrocarbon increased from 1.69 area% to 15.58 area% over H-ZSM5 and hH-ZSM-5 respectively. The higher oil quality with shorter hydrocarbon chains in all variations was obtained over hH-ZSM-5 catalyst, namely in the range of C7-C14 or comparable to hydrocarbon range gasoline and kerosene
A New Indoor Positioning Approach based on Weighted K-Nearest Algorithm
Many contemporary technological services rely heavily on precise location data within smartphone applications, making accuracy a crucial aspect of indoor positioning systems. However, the variability in received signal strength (RSS) poses a challenge for achieving exact locations in Wi-Fi indoor positioning algorithms. Traditional weighted k-nearest neighbor (WkNN) techniques typically utilize RSS spatial distance for selecting reference points (RPs) to estimate locations. To enhance position accuracy, this study introduces a novel indoor positioning method based on WkNN. By incorporating three geometrical distances of RSS (physical, spatial, and Canberra), this approach selects RPs and conducts position estimation using a fusion weighted strategy based on these distances. Experimental findings indicate that the newly proposed method outperforms the nearest neighbor (NN) technique. Moreover, comparative investigations demonstrate its superiority over k-nearest neighbor (kNN) and weighted k-nearest neighbor (WkNN) algorithms. Compared to NN, kNN, and WkNN algorithms, this novel technique improves positioning accuracy by approximately 49.9%, 32%, and 25%, respectively
Analysis of Taxpayer Behavior to Predict Motor Vehicle Tax Payments Using the Weighted Majority Voting Ensemble Approach
Taxpayer non-compliant behavior impacts Motor Vehicle Tax (MVT) revenues not following the predetermined targets. This behavior results in reduced income, and several regional development targets may not be achieved. Therefore, Regional Governments need to predict MVT payments to formulate future targets better. This research aims to analyze taxpayer behavior in predicting future MVT payments, whether the payments are compliant or late or non-payment. The proposed approach starts by analyzing and obtaining a dataset of taxpayer behavioral features. An ensemble classifier method based on Weighted Majority Voting (WMV) is used to predict payments. WMV was developed using the GridSearchCV technique to find optimal hyperparameter values to increase the model accuracy value for individual classifiers. The weight determined from the model accuracy value is converted into a ranking of the number of votes to maximize model performance. Next, feature ablation analysis is carried out to understand the contribution of each feature to model performance. The performance of the proposed system is evaluated using the confusion matrix, accuracy, precision, recall, and f1-score. The research results show that the WMV method performs better, with an accuracy of 96.247%, compared to the proposed individual classifier method in predicting MVT payments based on taxpayer behavior
Bilangan Kromatik Lokasi Amalgamasi Graf Theta
Misalkan adalah suatu pewarnaan titik pada graf dimana , untuk dan yang bertetangga di . Kode warna dari adalah pasang terurut dimana untuk . Jika setiap titik memiliki kode warna yang berbeda, maka disebut pewarnaan lokasi dari . Banyaknya warna minimum yang digunakan untuk pewarnaan lokasi termasuk bilangan kromatik lokasi dari dan dinotasikan dengan Pada artikel ini akan dibahas mengenai bilangan kromatik lokasi amalgamasi graf theta.
Menjelajahi Perbedaan Persepsi Elemen Desain Interior Berdasarkan Jenis Kelamin terhadap Kesiapsiagaan dan Respon Mitigasi Bencana
Bencana adalah suatu peristiwa yang terjadi secara tiba-tiba dan dapat menimbulkan kerugian besar serta membahayakan nyawa manusia. Kerusakan yang disebutkan antara lain kerusakan lingkungan, cedera, korban jiwa, kerusakan harta benda, tekanan psikologis dan dampak ekonomi. Namun kesiapsiagaan bencana pada desain interior fasilitas umum seperti stasiun kereta api, bandara dan stasiun kereta api di Indonesia masih belum cukup menjamin keselamatan dan keamanan penggunanya. Untuk mengatasi permasalahan tersebut maka perlu adanya desain interior yang aman bagi masyarakat, terutama ketika menghadapi kebakaran dan gempa bumi. Artikel ini akan membahas pentingnya desain interior pada bangunan publik dan dampaknya terhadap pengunjung, termasuk pertimbangan lebih lanjut berdasarkan jenis kelamin penggunanya, untuk meningkatkan keselamatan dan keamanan terhadap kebakaran dan gempa bumi. Metode yang digunakan adalah metode kuantitatif berupa kuesioner. Hasil penelitian ini fokus pada aspek elemen desain interior yang secara visual dapat meningkatkan efisiensi pengguna ruangan, sehingga dapat membantu mereka dalam mengambil keputusan dan melakukan tindakan yang aman
Simulasi Keruntuhan Bendungan Jatibarang Kota Semarang menggunakan Program HEC – RAS 2D
The collapse of the dam has a significant impact on the downstream area of the dam. These impacts can be minimized by conducting a dam collapse simulation. There are two main causes of dam collapse, namely overtopping and piping. From the hydrological analysis of the Jatibarang Dam, it is determined that overtopping is not a concern. Therefore, the dam collapse analysis utilizes the piping analysis method. Dam collapse modeling is carried out using the HEC-RAS 2D program with the Froehlich 2008 regression method, as the dam is of the embankment type. According to the simulation results, a dam collapse at the Jatibarang Dam would result in a flood affecting an area of 30.590 km2 downstream of the dam
Reduction Of Outrigger Wide To Maximize Fishing Boat Landing Area Capacity In Prigi Fishing Port
Jukung fishing boats, prevalent in Prigi, face challenges due to their wide design (approximately 5 meters on both sides). This excessive width often necessitates berthing further from the coast. To address this issue, this study investigates the feasibility of reducing outrigger width to increase berthing capacity at PPN Prigi while ensuring vessel stability. Through a systematic analysis of various outrigger widths (1.5, 1.25, 1, and 0.75 meters), the study determined that a reduction to 1 meter maintains vessel stability as per HSC 2000 Annex 7 and Annex 749 (18) Ch3 design criteria. A 1-meter reduction in outrigger length can increase berthing efficiency by 66% for a standard 15-meter berth with 30-40 cm ship spacing. Consequently, the east dock of PPN Prigi can accommodate an additional 94 jukung vessels, raising the total capacity from 142 to 236. This research provides valuable insights for optimizing port infrastructure and enhancing the operational efficiency of the fishing community in Prigi
Experimental Investigation of Citronella Oil as Bioadditive in Biodiesel Fuel on Diesel Engine Performance, Vibration and Emissions
Abstract The depletion of fossil fuels is one of the reasons for using alternative fuels such as biodiesel fuel. However, biodiesel has disadvantages such as higher density, lower heating value, high fuel consumption, and high nitrogen oxide (NOx) content compared to diesel. To improve this, it can be done by increasing the cetane number of the fuel by adding citronella (C) oil as a bioaditive. The purpose of this study is to determine the characteristics of biodiesel fuel after adding citronella oil, and to determine the effect of citronella oil addition on engine performance, vibration, noise and emissions. This research was conducted experimentally by adding citronella oil with variations in composition of 0.5%, 0.75%, 1%, 1.25%, and 1.5% of the volume of Biodiesel fuel (B30). The fuel was tested on a Yanmar single-cylinder diesel engine. Experimental results showed that the cetane number increased with the addition of citronella composition, with the highest cetane number in B30+C 1.5% fuel, which increased by 25.9% when compared to the cetane number of B30. From the performance test results, the diesel engine experienced an increase in performance in the form of power, torque, BMEP, as well as a decrease in vibration and noise when compared to B30 fuel. The lowest NOx emissions occurred at 2000 RPM with the largest load produced by fuel that had added citronella 1.5% with a decrease of 21.6% when compared to B30 fuel