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Journal : Journal of Infrastructure and Facility Asset Management

Comparing the Result of Infrastructure and Facility Demand Distribution Similarity Test Between Using Percentage Value and Real Value Hitapriya Suprayitno; Vita Ratnasari; Ria Asih Aryani Soemitro
Journal of Infrastructure & Facility Asset Management Vol 2 (2020): Supplement 1 : Journal of Infrastructure & Facility Asset Management
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jifam.v2i0.8410

Abstract

Understanding the Infrastructure & Facility Demand Behaviour is important. Sometimes, comparing two Demand Behaviour need to be done. A method to make Distribution Similarity test has been developed for Transportation Trip Length Distribution Similarity test. This test can be used for comparing Infrastructure & Facility Demand Behavior. There are still questions on whether the test must be made upon the Distribution of Real Value or upon the Distribution of Percentage Value. The research result indicates that Comparing Distribution Similarity must use Distribution Percentage Value. The similarity must be measured based on Accepted Goodness of Fit measured in χ2 Value, and Accepted Difference Value measured in Absolute Difference Value.
Searching the Appropriate Minimum Sample Size Calculation Method for Commuter Train Passenger Travel Behavior Survey Anita Susanti; Ria Asih Aryani Soemitro; Hitapriya Suprayitno; Vita Ratnasari
Journal of Infrastructure & Facility Asset Management Vol 1, No 1 (2019): Journal of Infrastructure & Facility Asset Management
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1348.316 KB) | DOI: 10.12962/jifam.v1i1.5232

Abstract

Commuter Train is one of the facilities that must be managed properly, economically and efficiently by the principles of Facility Asset Management. The availability of infrastructure and vehicles for this facility is adjusted based on passenger demand. This requires sufficient knowledge on the travel behavior characteristics, i.e., different characteristics composition proportion. Travel behavior survey requires the appropriate formula or method to calculate the minimum sample size, for this case are proportions of pq, pqr, pqrs etc. Therefore, a search for Minimum Sample Size Calculation Method for the Travel Behaviour Survey is needed. A literature study was employed for this search. This is important because the calculation method for the minimum sample size for proportions pq exists, but for the proportion of pqr, pqrs, etc do not yet exist. The results of the study indicates that the SR Method is the most appropriate method for calculating the minimum number of samples for the case of the proportion of pqr, pqrs, pqrst, etc. The SR Method is developed based on Goodnees of Fit method combined with the Maximum Acceptable Error principle. The combination of the two is named the MAECCL (Maximum Acceptable Error on a Certain Confidence Level) principle.
Learning IFAM by using ITS Medical Centre as a Case: #1 - Identifying the Function, Medical Service, Infrastructure & Facility Vita Ratnasari; Hitapriya Suprayitno
Journal of Infrastructure & Facility Asset Management Vol 1, No 2 (2019): Journal of Infrastructure & Facility Asset Management
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.378 KB) | DOI: 10.12962/jifam.v1i2.5971

Abstract

Nowadays, Infrastructure & Facility Asset Management (I&FAM) is essential in Indonesia. Indonesian Law on State Treasury was decreed in 2014, which makes the term I&FAM still relatively new in Indonesia. Therefore, the researcher must develop about I&FAM studies, such as doing a practice. For example, the ITS Medical Center (MCITS) use as a case for learning I&FAM. The first step is to identify the statement of the function, the service, and the infrastructure & facility. This research used a straightforward method by reading related document and reconnaissance survey. The research produces three principal results, giving medical service for the ITS' community and the surrounding area, and giving another income for ITS. The ITS Clinic occupies a special clinic building of 2 stories high, equipped with a garage, parking lot and a sign. As a facility, the clinic is equipped with a building, the building facilities, standard clinic medical equipment, and an ambulance.
Co-Authors A. Tuti Rumiati Achmad Choiruddin Adatul Mukarohmah Agnes Tuti Rumiati Agus Riyadi Almira Qattrunnada Qurratu'ain Ananda, Dwi Shinta Andrea Tri Rian Dani Anita Susanti Arif Khoirul Anam AVIANTHOLIB, IGAR CALVERIA Bachtiar, Raditya Fahmi Baredwan, Abdullah Husin Bastian, Endhy Bastian, Endhy Cinde Pristi Kurnia Merdiko Citto Pacama Fajrinia Clara Dewanti Dani, Andrea Tri Rian Deby Lolita Permatasari Dedy Dwi Prastyo Dwi Maumere Putra Eko Wahyu Wibowo Elika Tantri Eling Anindita, Raden Erma Oktania Permatasari Fachrian Bimantoro Putra Farid Achmadi Farony, Rivan Faurizal Limansyah Fauziyah, Meirinda Febriliani Masitoh Feni Ira Puspita, Feni Ira Fithriasari, Kartika Fitriana, Dewi Fuad Achmadi Gita Prestalita Halistin, Halistin Haryono Haryono Hesikumalasari Hesikumalasari Hitapriya Suprayitno, Hitapriya Husna Miratin Nuroini I Nyoman Budiantara I Putu Artama Wiguna Ida Nur Indah Sari Insan Amalia Mutfi Ismaini Zain Karimah, Aprilia Fitri Khaerun Nisa' Ludia Ni’matuzzahroh Made Ayu Dwi Octavanny Madu Ratna Mahendra Wardhana, Mahendra Marshiela, Jessie Reyna Maulidiah Nitivijaya Mokh. Suef Muhammad Aldani Zen NARITA YURI ADRIANINGSIH Ni'matuzzahroh, Ludia Nina Saraswati Nina Saraswati Nisa Andini Novidianto, Raditya Nuroini, Husna Mir'atin Okka Kusumawati Asmoyo Permatasari, Erma Oktania Purhadi Purhadi Putra, Fachrian Bimantoro Qonita Qurrota A'yun R Sutjipto Reny Nadlifatin Retno Dewi Yulianti Rhifda Zukhrufi Ria Asih Aryani Soemitro Rifani Nur Sindy Setiawan Rijaludin, Saeful Huda Rizfanni Cahya Putri Rizky Amalia Yulianti Santi Puteri Rahayu Setiawan Setiawan Shofi Andari Sifriyani, Sifriyani Sitti Imaslihkah Suci Amalia Talmera, Annisa Triana Tandri Patih Taufiqotul Masrukha Tesha Nisva Tiza Ayu Virania Veniola Forestryani Vida Faiza Rochmah Wahyu Indri Astuti Wibawati Wibawati Winarni Kurniasari Yashintia Arien Epriliyanti Yollafie Asmara Yovita Liana Salsabila Yuanita Damayanti Zen, Muhammad Aldani