Priority Determination of Underwater Tourism Site Development in Gorontalo Province using Analytical Hierarchy Process (AHP)

Rohandi, Manda; Tuloli, M. Yusuf; Jassin, Rochmad Thohir

doi:10.1088/1757-899x/306/1/012085

Cited by 4 publications

(2 citation statements)

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“…Sementara pada pengukuran aktif, nilai eigen max yang dihasilan adalahh 8,165 sehingga menghasilkan CI =0,02 dan CR = 0,01. Nilai yang menjadi validasi kurang dari sama dengan 10 % adalah nilai CR (Rohandi, Tuloli, & Jassin, 2018).…”

Section: Gambar 6 Diagram Alir Metodologi Penelitianunclassified

Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

Premitasari

2021

MIND Journal

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AbstrakTrafik telekomunikasi sudah bermigrasi ke IP-based Traffic. Salah satunya adalah Laboratorium TIK (Teknologi Informasi dan Komunikasi) ITENAS yang meng-generate invarian trafik. Pada penelitian ini, penulis melakukan monitoring pasif dan aktif untuk mendapatkan berbagai invarian trafik. Monitoring pasif didapatkan dari software ISP Moratel dan SOPHOS Firewall. Monitoring aktif dilakukan dengan capture data secara live pada waktu jam sibuk. Invarian trafik yang berhasil di-captured adalah incoming traffic, outgoing traffic, speed, volume, date dan downtime. Jam sibuk diambil berdasarkan dugaan sementara mulai pukul 10.00-16.00. Invarian ini menjadi input dari sistem untuk dijadikan kriteria dan jam sibuk dijadikan atribut. Kriteria dan atribut diolah dengan metoda Multi Criteria Decision Making yaitu SAW (Simple Additive Weighting) dan AHP(Analytical Hierarchy Process). Output dari sistem adalah prediksi jumlah pengguna di jam sibuk dengan skala fuzzy rules. Hasil penelitian menyimpulkan pukul 11.00 AM-12.00 PM adalah jam tersibuk dengan jumlah user terbanyak.Kata kunci: monitoring aktif, monitoring pasif, kriteria, atribut,bobotAbstractTelecommunication traffic has migrated to IP-based traffic .One of the industry is Laboratorium TIK ITENAS (Teknologi Informasi dan Komunikasi) which generates traffic invariant. In this study, the authors conducted passive and active monitoring to obtain various traffic invariance. Passive monitoring were obtained from ISP Moratel software and SOPHOS Firewall. Active monitoring were done by capturing live data during peak hours. Traffic invariance that have been captured consist incoming traffic, outgoing traffic, speed, volume, date and downtime. Busy hours were taken based on personal estimation start from 10.00-16.00. This invariance became the system’s input which has been used as criteria and peak hours are used as attributes. Criteria and attributes were processed using the Multi Criteria Decision Making method, namely SAW (Simple Additive Weighting and AHP (Analytical Hierarchy Process). The output of the system is user’s number prediction with fuzzy scale. The result concluded that 11.00 AM-12.00 PM is the busiest hours with the most number of usersKeywords: active monitoring, passive monitoring, criterion, attributes, weight

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Section: Gambar 6 Diagram Alir Metodologi Penelitianunclassified

Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

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2021

MIND Journal

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“…Therefore, an analytical weighting is required to calculate the weight of each influencing parameter towards spatial parameters representing the needs of the community through the consideration of experts and authorized stakeholder. Based on Rohandi, Tuloli and Jassin [5] the AHP method can provide a comprehensive and rational framework for structuring decision-making problems, representing and measuring their elements, linking these elements to overall goals and being able to evaluate alternate solutions so that it can rank the priority of underwater tourism sites in the province of Gorontalo development based on existing parameters. To create an alternative route, GIS was applied using Network Analyst extension.…”

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Alternative Route Planning Analysis of Tourism Transport Using Analytical Hierarchy Process (AHP) and Network Analysis Methods (Case Study: Jember Regency)

Bachtiar

nurwatik

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Tourism is one of the sectors that continue to be developed according to the Spatial Planning Regulation (RTRW) of Jember Regency in 2015 – 2035. In September 2021, The Regent of Jember announced officially the Jember Regency Tourism Transport to maximize the potential of educational tourism. Therefore, it is required to provide a sufficient information with respect to the accessibility of tourist attraction. This paper purposes to integrate Analytical Hierarchy Process (AHP) and GIS network analysis to generate a ranking of the potential of educational tourism objects based on the parameters of accessibility, amenities, and attractions according to Minister of Tourism Regulation Number 5 of 2017 and produce alternative routes between tourism objects based on travel time, tour time, and tourism object situation scenarios. The results indicate the weight of the accessibility criteria is 0.60, the amenities criteria is 0.27 and the attraction criteria is 0.13. From the processing of these parameters, educational tourism with the high potential category is Agrotourism Research Center for Coffee and Cocoa Jember, Sukorambi Botanical Garden, and Jember Mini Zoo, and the category of educational tourism with low potential include Tanoker, Tobacco Museum, and Duplang Site. In addition, the network analyst result generates 3 routes. The first route is Jami, Al- Baitul Amien Mosque – Tobacco Museum Jember – Agrotourism Research Center for Coffee and Cocoa Jember - Jami, Al-Baitul Amien Mosque with 41.5-kilometer distance, the total duration of travel time and the assumption of tour time is 7 hours 7 minute. The second route is Jami, Al-Baitul Amien Mosque – Duplang Site – Jember Mini Zoo - Jami, Al-Baitul Amien Mosque with the total travel time duration and tour time assumption is 7 hours 41 minutes and 39-kilometer travel distance. While the third route is Jami, Al-Baitul Amien Mosque – Tanoker – Sukorambi Botanical Garden - Jami, Al- Baitul Amien Mosque with the total duration of travel time and tour time assumption is 7 hours 40 minutes with 59.9-kilometer distance.

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Research on Evaluation of Construction Workers’ Job Satisfaction Based on Improved AHP-FCE Method

Peng

Zhao

Deng

et al. 2023

Lecture Notes in Operations Research

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Priority Determination of Underwater Tourism Site Development in Gorontalo Province using Analytical Hierarchy Process (AHP)

Cited by 4 publications

References 4 publications

Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

Alternative Route Planning Analysis of Tourism Transport Using Analytical Hierarchy Process (AHP) and Network Analysis Methods (Case Study: Jember Regency)

Research on Evaluation of Construction Workers’ Job Satisfaction Based on Improved AHP-FCE Method

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