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All Journal POSITRON Journal of Engineering and Technological Sciences Jurnal Manajemen dan Bisnis Indonesia Jurnal Bisnis dan Manajemen Jurnal Review Pendidikan dan Pengajaran (JRPP) Emerging Markets : Business and Management Studies Journal Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Physics (IJP)
Linus Pasasa
Physics Of Complex System, Institute Of Technology Bandung, Bandung, Indonesia
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Physics Public Health Social Sciences Other

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The Use of GPR in Delineating an Iron Sand Boundary and the Determination of Its Electromagnetic Wave Velocity: A Case Study in Jepara, Central Java Bijaksana, S.; Rusyanti, I.; T. Taib, M. I.; Pasasa, L. A.; Andreas, A. S.
Journal of Engineering and Technological Sciences Vol 37, No 2 (2005)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1138.177 KB) | DOI: 10.5614/itbj.eng.sci.2005.37.2.1

Abstract

 Exploring the vertical extent of iron sand deposit is challenging as conventional geophysical methods (electrical resistivity, geomagnetic, and seismic refraction) are inappropriate and unsuccessful in delineating the iron sand deposit from the bedrock. Ground-penetrating radar (GPR) offers a solution to the above problem as radar is not affected negatively by the physical properties of iron sand. In the year 2003, a RAMAC’s GPR survey was carried out in the coast of Bayuran in the Regency of Jepara, Central Java to map the distribution of sub-bottom iron sand. The sand is highly magnetic. The survey used 100 MHz antennas. The survey is also complimented by a novel method in determining the electromagnetic (EM) wave velocity of iron sand. Combination of reflection profiling and CMP sounding was deployed. Results of CMP sounding were processed using CMP-semblance analysis that produces the RMS velocity in velocity-time spectra. The RMS velocity is then converted to interval velocity using Dix’s formula and is found to be about 135 mm/ns. Meanwhile, combination of magnetic susceptibility, relative permittivity, and dissipation factors produces radiowaves velocity of iron sand as a function of frequency. The velocities of radiowaves estimated from laboratory match that estimated from CMP analysis.
Comparing Models GRM, Refraction Tomography and Neural Network to Analyze Shallow Landslide Sompotan, Armstrong F.; Pasasa, Linus A.; Sule, Rachmat
Journal of Engineering and Technological Sciences Vol 43, No 3 (2011)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.02 KB) | DOI: 10.5614/itbj.eng.sci.2011.43.3.1

Abstract

Detailed  investigations  of  landslides  are  essential  to  understand fundamental landslide  mechanisms.  Seismic  refraction  method  has been  proven as a useful geophysical tool for investigating shallow landslides. The objective of this  study  is  to  introduce  a  new  workflow  using  neural  network  in  analyzing seismic  refraction  data  and  to  compare  the  result  with  some  methods;  that  are general  reciprocal  method  (GRM)  and  refraction  tomography.  The  GRM  is effective when the velocity structure is relatively simple and refractors are gently dipping.  Refraction  tomography  is  capable  of  modeling  the  complex  velocity structures  of  landslides.  Neural  network  is  found  to  be  more  potential  in application  especially  in  time  consuming  and  complicated  numerical  methods. Neural network  seem to have the  ability to establish a relationship between an input  and  output  space  for  mapping  seismic  velocity.  Therefore,  we  made  a preliminary attempt to evaluate the applicability of neural network to determine velocity  and  elevation  of  subsurface  synthetic  models  corresponding  to  arrival times.  The  training  and  testing  process  of  the  neural  network  is  successfully accomplished  using  the  synthetic  data.  Furthermore,  we  evaluated  the  neural network  using  observed  data.  The  result  of  the  evaluation  indicates  that  the neural  network  can  compute  velocity  and  elevation  corresponding  to  arrival times. The similarity of those models shows the success of neural network as a new alternative in seismic refraction data interpretation.
ANALYSIS OF SERVICE QUALITY, PERCEIVED VALUE AND CUSTOMER SATISFACTION TOWARDS CUSTOMER LOYALTY IN INSURANCE INDUSTRY - CASE STUDY OF PT. SYNERGY ADHI MANUNGGAL Andhika, Benedictus Widy; Hidayat, Nila Khrisnawati; Pasasa, Linus
Emerging Markets : Business and Management Studies Journal Vol 3 No 1 (2015)
Publisher : Academic Research Centre Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1604.842 KB) | DOI: 10.33555/ijembm.v3i1.70

Abstract

The purpose of this research is to study and analyse the impact of service quality, perceived value and customer satisfaction towards customer loyalty in insurance industry - case study of PT. Synergy Adhi Manunggal. The primary data was obtained by using the questionnaires to 100 customers of PT. Synergy Adhi Manunggal. The data is analysed using Structural Equation Modelling (SEM analysis to test the hypotheses). Finding of this research shows that service quality, perceived value and customer satisfaction towards customer loyal. It will be a great challenge for the PT. Synergy Adhi Manunggal in preparing their strategic plan in maintaining customer loyalty.
THE ASEAN ECONOMIC COMMUNITY IMPLEMENTATION ASEAN HIGHER EDUCATION SECTORS : AN ANALYSIS OF THE COMPETITIVENESS OF INDONESIAN PRIVATE BUSINESS SCHOOLS Baskoro, Gading; Sucento, Bun; Pasasa, Linus
Emerging Markets : Business and Management Studies Journal Vol 1 No 1 (2013)
Publisher : Academic Research Centre Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ijembm.v1i1.75

Abstract

The primary purpose of this research is to identify the competitiveness position of Indonesian private business schools in the ASEAN region in facing ASEAN Economic Community in 2015. This research also tries to identify strategies for Indonesian private business schools in facing the era of ASEAN Economic Community. SWOT analysis is used as the base of this research. AACB's accreditation standards are use for determining factors driven the most to the competitiveness of Indonesian private business schools, while five factors of students' choice  are used to determine the strongest factor that influence ASEAN students' business school choice. Questionaires were distributed to Indonesian private business schools' lecturers and business school students in ASEAN region. After the data was gathered, AMOS Software is used to provide Structural Equation Modeling (SEM) and Path Diagram. Results from this study shows that Indonesian private business schools are in the Cell 3 of SWOT analysis diagram. "Participant Standards" is the factor that drives the most to the competitiveness of Indonesian private business school and "Overall Reputation" is the strongest factor that influences ASEAN students' business school choice. The research shows that Indonesian should support turnaround -oriented strategies by fulfilling AACSB's Participants Standards and improving their reputation in the ASEAN region.
Model Perhitungan Energi Gas alam berbasis Pada Kecepatan Suara, Bulk Modulus, dan Komposisi Gas Diluent Padang, Elohansen; Hendrajaya, Lilik; Pasasa, Linus Ampang; Hendro, Hendro
POSITRON Vol 9, No 2 (2019): November Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1244.633 KB) | DOI: 10.26418/positron.v9i2.32852

Abstract

Gas alam merupakan campuran hidrokarbon kompleks yang karakteristik utama kualitasnya sering dinyatakan dalam bentuk nilai kalor, yaitu energi yang dilepaskan tiap satuan massa atau satuan volume bahan bakar ketika habis dibakar. Pengukuran energi gas alam saat ini umumnya dilakukan secara tidak langsung dengan mengkombinasikan flow meter dan kromatografi gas atau gas analizer. Metode tidak langsung memiliki beberapa keterbatasan sehingga mendorong para peneliti mengembangkan metode alternatif menghitung energi gas alam. Pada penelitian ini, dikembangkan metode korelasi yang berbasis pada bulk modulus campuran gas alam, kecepatan suara, dan komposisi gas diluent sebagai alternatif metode perhitungan energi campuran gas alam. Pengembangan model dilakukan menggunakan 95 data komposisi gas alam yang dilaporkan oleh Morrow, et al. [11]. Data komposisi tersebut digunakan untuk  menghitung kecepatan suara (vs), massa jenis (ρ), dan rasio kapasitas panas (γ) campuran gas alam pada keadaan standar (150C, 0,325 kPa). Kemudian nilai vs, ρ, γ dan komposisi gas diluent (CO2 dan N2) dipakai untuk menghitung bulk modulus campuran gas alam dan bulk modulus hidrokarbon. Sementara itu, nilai kalor campuran gas alam pada keadaan standar dihitung dalam basis massa menggunakan data nilai kalor tiap-tiap komponen campuran gas alam yang terdapat dalam Standar GPA 2145. Setelah semua data fisis diperoleh, dilakukan pencocokan kurva untuk memperoleh model menghitung energi campuran gas alam. Hasil pengujian kinerja model menunjukkan bahwa persentase kesalahan adalah sebesar 0,0697% dengan rentang dari 0  sampai 0,119%, RMSE sebesar 0,0833, dan R sebesar satu. Hasil tersebut mengindikasikan bahwa model yang dikembangkan memiliki akurasi tinggi sehingga dapat direkomendasikan sebagai metode alternatif untuk menghitung energi gas alam.
Comparing Models GRM, Refraction Tomography and Neural Network to Analyze Shallow Landslide Armstrong F. Sompotan; Linus A. Pasasa; Rachmat Sule
Journal of Engineering and Technological Sciences Vol. 43 No. 3 (2011)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2011.43.3.1

Abstract

Detailed  investigations  of  landslides  are  essential  to  understand fundamental landslide  mechanisms.  Seismic  refraction  method  has been  proven as a useful geophysical tool for investigating shallow landslides. The objective of this  study  is  to  introduce  a  new  workflow  using  neural  network  in  analyzing seismic  refraction  data  and  to  compare  the  result  with  some  methods;  that  are general  reciprocal  method  (GRM)  and  refraction  tomography.  The  GRM  is effective when the velocity structure is relatively simple and refractors are gently dipping.  Refraction  tomography  is  capable  of  modeling  the  complex  velocity structures  of  landslides.  Neural  network  is  found  to  be  more  potential  in application  especially  in  time  consuming  and  complicated  numerical  methods. Neural network  seem to have the  ability to establish a relationship between an input  and  output  space  for  mapping  seismic  velocity.  Therefore,  we  made  a preliminary attempt to evaluate the applicability of neural network to determine velocity  and  elevation  of  subsurface  synthetic  models  corresponding  to  arrival times.  The  training  and  testing  process  of  the  neural  network  is  successfully accomplished  using  the  synthetic  data.  Furthermore,  we  evaluated  the  neural network  using  observed  data.  The  result  of  the  evaluation  indicates  that  the neural  network  can  compute  velocity  and  elevation  corresponding  to  arrival times. The similarity of those models shows the success of neural network as a new alternative in seismic refraction data interpretation.
The Use of GPR in Delineating an Iron Sand Boundary and the Determination of Its Electromagnetic Wave Velocity: A Case Study in Jepara, Central Java S. Bijaksana; I. Rusyanti; M. I. T. Taib; L. A. Pasasa; A. S. Andreas
Journal of Engineering and Technological Sciences Vol. 37 No. 2 (2005)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2005.37.2.1

Abstract

 Exploring the vertical extent of iron sand deposit is challenging as conventional geophysical methods (electrical resistivity, geomagnetic, and seismic refraction) are inappropriate and unsuccessful in delineating the iron sand deposit from the bedrock. Ground-penetrating radar (GPR) offers a solution to the above problem as radar is not affected negatively by the physical properties of iron sand. In the year 2003, a RAMAC's GPR survey was carried out in the coast of Bayuran in the Regency of Jepara, Central Java to map the distribution of sub-bottom iron sand. The sand is highly magnetic. The survey used 100 MHz antennas. The survey is also complimented by a novel method in determining the electromagnetic (EM) wave velocity of iron sand. Combination of reflection profiling and CMP sounding was deployed. Results of CMP sounding were processed using CMP-semblance analysis that produces the RMS velocity in velocity-time spectra. The RMS velocity is then converted to interval velocity using Dix's formula and is found to be about 135 mm/ns. Meanwhile, combination of magnetic susceptibility, relative permittivity, and dissipation factors produces radiowaves velocity of iron sand as a function of frequency. The velocities of radiowaves estimated from laboratory match that estimated from CMP analysis.
Analysis on the Preparation of International Standard Implementation to Indonesia Automotive Industry Expected Performance Facing ASEAN Economic Community 2015 Muhammad Ikhsan; Nila K. Hidayat; Linus Pasasa
Jurnal Manajemen dan Bisnis Indonesia Vol 1 No 2 (2014): Jurnal Manajemen Bisnis Indonesia - Edisi Februari 2014
Publisher : Forum Manajemen Indonesia (FMI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31843/jmbi.v1i2.23

Abstract

This is largely due to the substantial range of networking and interconnectivity brought on by the positive surge of development in global trade that enables companies to expand their business overseas and reach out to more than just domestic markets scene. The ASEAN Economic Community 2015 is a challenge to make a single barrier free market all through of the 10 (ten) member countries, devoid of barriers its services, capital, and allowing goods, and skilled labor to move freely across borders. ASEAN Member States are agreed to implementing UNECE Wp. 29 for to be a basis harmonization automotive technical regulation in ASEAN region. The purpose of this thesis is to measure a correlation between UNECE International Automotive Standard and The Indonesia Automotive Industry (expected) performance. As a result it has been concluded that correlations between UNECE International Automotive Standard and Indonesia Automotive Industry performance does exists. Implementing UNECE International Standard bring technologies, economic and social benefits into the country and the manufacturing and it will helps to contribute an improvement in Automotive Industry in Indonesia. Process documentation and control is the major influence towards improving the performance of Automotive Industry in Indonesia and Supplier Related Benefits is the factor that gives a significant influence for improvement Indonesia Automotive Industry performance. Keywords : AEC 2015, UNECE International Automotive Standard, ASEAN MRA, Indonesia Automotive Industry.
Anisotropy of Magnetic Susceptibility and Elemental Compositions in Andesitic Rocks Khumaedi Sastrawiharja; Satria Bijaksana; Umar Fauzi; Linus Ampang Pasasa
Indonesian Journal of Physics Vol 19 No 1 (2008): Vol. 19 No. 1, January 2008
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (48.81 KB) | DOI: 10.5614/itb.ijp.2008.19.1.3

Abstract

Igneous rocks, including andesites, are composed of these major elements: Si, Ti, Al, Fe, Mn, Ca, Mg, Na, K, and P. Variation in the composition of these elements, which occur mostly as oxides, determines the overall physical properties of the rocks. Not surprisingly, classification of igneous rocks is also based on the quantity of these major oxides. In this study, elemental compositions of andesitic rocks from the Island of Java will be compared to the anisotropy of magnetic susceptibility (AMS) as a part of our effort to explore the possibility of using rock magnetic parameters in classifying igneous rocks. The objective is to check whether AMS parameters could serve as alternative to chemical analysis. To do so, we have measured the AMS and geochemical composition of andesitic rock samples from 10 different sites across Central Java and Yogyakarta. The results show that there are significant correlations between the abundance of certain elements with AMS parameters, for example, the abundance of Fe and Al with magnetic lineation and the abundance of Al with degree of anisotropy. These results show that magnetic parameters have a good change to be use as predictors for major elements composition in igneous rocks.
Analysis of Logistics Delivery Performance (A Case Study of Rental ToolsDelivery in “XYZ” Power Plant Project at The Energy Service Fossil Division) RINALDI RAYMOND; NILA K. HIDAYAT; LINUS PASASA; EFRATA D. S. YUNUS
Jurnal Bisnis Manajemen Vol 16, No 2 (2015): September 2015
Publisher : Fakultas Ekonomi dan Bisnis Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2158.688 KB) | DOI: 10.24198/jbm.v16i2.18

Abstract

The purpose of this study is to analyze the logistics delivery performance of rental tools delivery for temporary import in XYZ Power Plant Project at the Energy Service Division. This research is a mixture of quantitative and qualitative research and using both primary and secondary data, which collected from the company data including interview with the logistics manager and monitoring delivery data of XYZ Power Plant Project in the Logistics Department Energy Service Division. After the data was gathered, AMOS software is used to provide Structural Equation Modeling (SEM) and Path Diagram in order to identify influential factors to logistics delivery performance. Furthermore, to measure the KPI in terms of delivery reliability of logistics delivery performance levels of rental tools in XYZ power plant project in 2013 by the logistics department in the energy service fossil division. This study uses time series data from September 2013 - December 2013. Based on the results of research, it can be seen that customs clearance has positive moderate correlation to the logistics delivery performance, while number of items factor has a positive weak correlation to the logistics delivery performance. This research also found that the KPI in terms of delivery reliability of delivery performance level of rental tools in XYZ power plant project 2013 by the logistics department in the energy service division is 56.67%” which is Insufficient in logistics benchmark level. Thus, in purpose of increasing the logistics delivery performance in the XYZ Power Plant Project, the company should improve the delivery reliability. In addition the company should pay more attention to customs clearance process, since customs clearance is the most influential factor to the logistics delivery performance.Keywords: Logistics, Delivery Reliability, KPI, Temporary Import, On-Time Delivery.
Co-Authors A. S. Andreas A. S. Andreas Alamta Singarimbun Andhika, Benedictus Widy Armstrong F. Sompotan Baskoro, Gading Bun Sucento EFRATA D. S. YUNUS Harapan Marpaung Hendro Hendro, Hendro Hidayat, Nila Khrisnawati I. Rusyanti I. Rusyanti Irfan Dwi Adita Khumaedi Sastrawiharja Lilik Hendrajaya M. I. T. Taib M. I. T. Taib Marselina Irasonia Tan Mitra Djamal Muhammad Ikhsan Ni Ketut Lasmia Nila K. Hidayat Nila K. Hidayat, Nila K. Padang, Elohansen Rachmat Sule Rachmat Sule RINALDI RAYMOND S. Bijaksana S. Bijaksana Satria Bijaksana Umar Fauzi Wahyu Srigutomo