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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Sodality: Jurnal Sosiologi Pedesaan MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Jurnal Ilmu dan Teknologi Kelautan Tropis IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Sosial dan Humaniora Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Journal of Indonesian Tourism and Development Studies JURNAL ELEKTRO Jurnal Perkotaan Jurnal Kebijakan dan Administrasi Publik AdBispreneur PAX HUMANA ARISTO JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komunikasi Kritis Humaniora MUWAZAH: Jurnal Kajian Gender Cakrawala Jurnal Penelitian Sosial Building of Informatics, Technology and Science Jurnal Mantik Journal of Information Systems and Informatics Jurnal Studi Sosial dan Politik Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Jurnal Sistem Komputer dan Informatika (JSON) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Cita Ekonomika: Jurnal Ilmu Ekonomi ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING International Journal on Social Science, Economics and Art KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Basic and Applied Science Indonesian Journal of Tourism and Leisure Jurnal InterAct Jurnal Sosiologi Engagement: Jurnal Pengabdian Kepada Masyarakat JKAP (Jurnal Kebijakan dan Administrasi Publik) Jurnal Kawistara
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Penerapan Metode CRISP-DM dalam Klasifikasi Data Ulasan Pengunjung Destinasi Danau Toba Menggunakan Algoritma Naïve Bayes Classifier (NBC) dan Decision Tree (DT) Yerik Afrianto Singgalen
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6461

Abstract

This study aims to implement a classification method using the Nave Bayes Classifier (NBC) algorithm on Lake Toba visitor review text data. The Cross Industry Standard Process for Data Mining (CRISP-DM) methodology comprises the following stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The findings of this study indicate that during the phase of business comprehension, the context of the discussion focuses on the tourism sector, specifically tourist perceptions of the quality of products and services at Lake Toba tourist destinations. At the data comprehension stage, the source of review data used was the Tripadvisor website, which contained as many as 858 reviews with the following rating classification: 8 reviews with abysmal ratings; 22 reviews with poor ratings; 81 reviews with neutral ratings; 304 reviews with good ratings; 443 reviews with excellent ratings. Data cleansing is performed at the data preparation stage so that 382 data are processed by dividing training data by 70 percent and test data by 30 percent. During the modeling phase, the performance of the NBC and DT algorithms was evaluated using and without SMOTE UPsampling operators. The comparison of NBC and DT algorithm values indicates that the model with the best performance is DT using SMOTE UPsampling operators with accuracy values (98.27 percent), precision values (98.83 percent), recall values (97.71 percent), f-measure values (98.26 percent), and AUC values (98.27 percent) (0.982). At the evaluation stage, the importance of excellent service (Quality Human Resources) and supporting infrastructure was highlighted by analyzing the results of ranking the five most frequently used terms in Lake Toba visitor review data (tourism facilities and infrastructure). At the deployment stage, it is necessary to balance the development of attractions, accessibility, lodging, and tourism-supporting amenities to generate visiting intention and revisit motivation to Lake Toba.
Penerapan Metode Spatio-Temporal Analysis dalam Analisis Dinamika Tutupan dan Penggunaan Lahan Berbasis NDVI dan NDWI Yerik Afrianto Singgalen
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 2 (2023): Oktober 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i2.1313

Abstract

Landscape changes brought on by converting land from community plantations to industrial areas must be continuously monitored for spatial data documentation. This study proposes documenting changes in the environment of coconut farms in Indonesia's North Maluku Province's Gulo Village, North Kao District, and North Halmahera Regency. The spatio-temporal analysis method was employed in this investigation. The results of this study show that the spatio-temporal analysis method is very relevant to be used in identifying and analyzing the dynamics of land cover and use in buffer zones and industrial zones through the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI)  models. According to Landsat 8 OLI satellite image data based on 2018, 2019, and 2021, the land cover and use in the buffer zone, particularly in Gulo Village and Dowongimaiti Village, suggest agricultural activity and deep coconut plantations. The Landsat 8 OLI satellite image data calculation in August 2018 was 0.39 based on vegetation index data in the Gulo Village buffer zone. This value declined to 0.35 in September 2019 and increased to 0.43 in September 2021. In addition, changes in the vegetation index value of 0.39 in August 2018 were discovered based on data from the Dowongimaiti Village buffer zone, which declined to 0.38 in September 2019 and increased to 0.44 in September 2021. The NDWI model's calculation outcomes in industrial zones reveal water features and puddles with an average index value of -0.33. As a result, as a proactive and strategic measure to reduce the risk of disaster brought on by industrial activities, the output of the spatio-temporal analysis method can be used to optimize the function of supervision or control of environmental conditions in the form of appropriate program recommendations.
Implementation of Merdeka Belajar-Kampus Merdeka in Pringsewu for Regional Tourism Resilience and Development: Penta Helix Collaborative Model and Actor-Network Theory Perspective Yerik Afrianto Singgalen; A.Y. Agung Nugroho; Suharsono; Alfonso Harrison Nantingkaseh; Hironimus Cornelius Royke
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2022): May 2022
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v6i1.1131

Abstract

: A collaborative approach between stakeholders can create regional tourism resilience from an institutional perspective. Therefore, stakeholders' level of interest and influence needs to be identified, classified, analyzed and evaluate comprehensively through case studies from the Penta Helix collaboration model and Actor-Network Theory (ANT) perspective. This study uses qualitative interpretative methods through a case study of the Merdeka Belajar Kampus Merdeka (MBKM) program conducted by the Atma Jaya Catholic University of Indonesia in research learning involving lecturers and students in Pringsewu Regency, Lampung. Data collection techniques using in-depth interviews, observations, and document studies. Meanwhile, a Focus Group Discussion (FGD) was also held involving the Tourism Awareness Group known as Kelompok Sadar Wisata (Pokdarwis), Tourism Destination Managers, and the Tourism Department of Local Government. The data processing of this research uses the triangulation technique to obtain valid and credible information. This study indicates that MBKM Project can integrate the stakeholders' interest and influence through various development programs to achieve tourism resilience which is beneficial for the socio-economic, socio-cultural, and socio-ecological dimensions. The Penta Helix collaboration model and ANT perspectives can monitor network development to identify key actors as senders, recipients, subjects, objects, assistants, and challengers in the actant scheme to optimize message translation for integrating interests.
Implementation of rapid application development for spatio-temporal database management Yerik Afrianto Singgalen
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4525

Abstract

This study aims to investigate the application of Rapid Application Development (RAD) in developing a spatio-temporal database management system, focusing on a case study in North Halmahera Regency. The primary objective is to assess the effectiveness of RAD in expediting the development process and enhancing the adaptability of the system to the dynamic spatial data requirements in the region. The methodology involves iterative development cycles, encompassing requirements planning, user design, construction, and cutover phases. The results demonstrate the successful implementation of RAD principles, showcasing accelerated development timelines and flexibility in accommodating changes. The system, tailored to the specific needs of North Halmahera, proves to be a valuable tool for urban planning, land management, and decision-making. In conclusion, using RAD to develop the spatio-temporal database management system presents a promising approach for swiftly adapting to evolving spatial data demands, ultimately contributing to more effective and responsive governance in North Halmahera Regency
User interface and user experience design for the TB.berkat rezeki website Stephen Aprius Sutresno; Henoch Juli Christanto; Yerik Afrianto Singgalen; Elfin Saputra; Biafra Daffa Farabi; Bernardus Alvin Rig; Radyan Rahmananta; Octa Hutapea
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4526

Abstract

In the era of continuous technological advancement, the presence of a website becomes crucial, especially for businesses aiming to harness digital potential. This research aims to address the issue of the lack of digital presence and e-commerce sites for TB. Berkat Rezeki, a building equipment store in Bekasi, West Java. By adopting the Design Thinking method, this study focuses on the development of a website with a UI/UX layout that supports an intuitive and satisfying online shopping experience. Survey results indicate that 64% of the Indonesian population are internet users, signaling a vast digital market potential. Applying the principles of Design Thinking, particularly in the Empathize, Define, Ideate, Prototype, and Testing stages, this e-commerce system is designed to create a clear layout, attractive design, and a responsive user experience. Evaluation using the System Usability Scale (SUS) shows an average score of 72, categorized as "good," indicating the readiness of the website for further use. In conclusion, effective and user-oriented UI/UX design involves thorough planning, iterative testing, and readiness for continuous improvement to align with user developments, design trends, and current technology.
Analysis and design of Hutanku application using Rapid application development Yerik Afrianto Singgalen
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4770

Abstract

This research aims to design the Hutanku application for bird location, tree, employee, and visitor databases using Rapid Application Development (RAD). The findings of this study indicate that the databases can be effectively utilized and prove beneficial in monitoring conservation areas. The primary objective of the research is to leverage RAD methodologies to design an application that facilitates efficient data collection, storage, and retrieval for bird locations, tree information, employee records, and visitor data within conservation zones. RAD's iterative and collaborative nature allows for swift adaptation to evolving user requirements, ensuring that the application is well-aligned with the specific needs of conservation monitoring. The successful implementation of the designed application highlights the practical utility of databases in enhancing the monitoring and management of conservation areas. In conclusion, the research underscores the significance of employing RAD for designing the Hutanku application, emphasizing its role in creating a robust database system essential for effective conservation practices
Destination marketing system design using Rapid Application Development Yerik Afrianto Singgalen
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4784

Abstract

This research aims to design a destination marketing system capable of accommodating information of product, price, place, and promotion. The method employed is Rapid Application Development (RAD), comprising the phases of requirement planning, user design, construction, and cutover. The outcomes of the study underscore that details regarding product offerings, pricing structures, geographical considerations, and promotional strategies are instrumental for decision-making in optimizing tourist visitation. With its iterative and collaborative nature, the utilization of RAD proves effective in systematically developing a system that aligns with the multifaceted dynamics of destination marketing. The phased approach, from requirement planning to cutover, ensures the systematic incorporation of crucial elements within the system. In conclusion, the research findings emphasize the significance of a well-designed destination marketing system in consolidating and utilizing product, price, place, and promotion information for informed decision-making in the tourism sector
Evaluation of the Implementation of Tourism Policy Yerik Afrianto Singgalen; Pamerdi Giri Wiloso; Gatot Sasongko
JKAP (Jurnal Kebijakan dan Administrasi Publik) Vol 21, No 1 (2017): May
Publisher : Magister Ilmu Administrasi Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkap.16751

Abstract

This purpose of the study is to  evaluate the  implementation of tourism programs in Bobale Island, Kakara Island, Tagalaya Island and Meti Island in North Halmahera District. The study is based on a model developed by George Edward III, and used qualitative methods to collect and analyze data.  Data collection techniques used included in-depth interviews, observation and study of the documents. Results of the study showed that resources, communication, disposition and bureaucratic structure are the main factors that influence the implementation of tourism policies are. Nonetheless, this study also showed that public support through public participation in the implementation process is also an important factor that determines the success of tourism policy. To that end,   community support or community participation should be an important factor that must be taken into account in the formulation of development priorities of Tourism development Master plan for North Halmahera District government.
Analisis Perilaku Wisatawan Berdasarkan Data Ulasan di Website Tripadvisor Menggunakan CRISP-DM: Wisata Minat Khusus Pendakian Gunung Rinjani dan Gunung Bromo Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3042

Abstract

Traveller behavior needs to be comprehensively identified and analyzed to determine changes in tourism preference in Indonesia. One relevant approach to identifying traveler behavior is sentiment analysis through review data on the Tripadvisor website by text mining approach. This study aims to recommend a sentiment analysis model that is useful for managers of particular interest climbing tourist destinations on Mount Rinjani and Mount Bromo based on the type of visit alone (solo), with couples (couple), with friends, and with family (family). The research method used is Cross Industry Standard Process for Data Mining (CRISP-DM), with an algorithm adapted to managing tourist destinations for Mount Rinjani and Mount Bromo, namely attractions, roads and modes of transportation (accessibility), and accommodation. To overcome the problem of data balance in datasets, the calculation process of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM) is connected to the Synthetic Minority Over-sampling Technique (SMOTE) operator in the Rapidminer application. The results of this study showed that the SVM algorithm showed better performance with an accuracy value of 97.67%, precision of 100%, recall of 95.34, and f-measure of 97.61% in the classification of 1075 text data of Mount Bromo and 326 review data of Mount Rinjani. In addition, in the context of Mount Rinjani, the top five words that often appear in tourist review data on Mount Rinjani are as follows: summit (272), Rinjani (259), trek (201), hike (170), mountain (159). On the other hand, the top five words that often appear in tourist review data on Mount Bromo are as follows: Bromo (1864), sunrise (1124), view (854), crater (758), and mount (577). Thus, it can be seen that tourists with the type of visit alone (solo), with couples (couple), with friends (friends), and with family (family) have a preference for the types of attractions in the form of summits, craters, natural beauty of mountains, hiking trails, types of transportation modes as well as supporting accommodation that needs to be prepared to keep the sustainability of tourism.
Analisis Sentimen Wisatawan terhadap Taman Nasional Bunaken dan Top 10 Hotel Rekomendasi Tripadvisor Menggunakan Algoritma SVM dan DT berbasis CRISP-DM Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3092

Abstract

It is necessary to analyze traveler sentiment towards Bunaken National Park and Tripadvisor's Top 10 Recommended Hotels to identify traveler satisfaction with the attractions, accommodation services, and transportation used. Considering this, this study uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework by testing the performance of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM). CRISP-DM has six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Based on the processing of 398 Bunaken National Park destination data and 1793 review data on the top 10 hotels recommended by Tripadvisor, the SVM algorithm performed better. In the context of Bunaken National Park destination data, the performance of the SVM algorithm using the SMOTE operator can produce 100% accuracy, precision, recall, f-measure, AUC, and t-Test values. In addition, in processing the top 10 hotel datasets recommended by Tripadvisor, the SVM algorithm using the SMOTE operator provides an accuracy value of 96.42%, a precision value of 100%, a recall value of 92.83%, an f-measure value of 96.27%, an AUC value of 100%, and a t-Test value of 96.4%. The results of identifying the five words that most often appear in tourist reviews for Bunaken Marine Park tourist destinations are 164 words fish, 165 words island, 193-word dive, 230 diving, and 280 words Bunaken. This indicates the driving factor for tourist visits to Bunaken Marine Park is the beauty of underwater nature, including the diversity of marine animal species, the natural beauty of the archipelago, and diving activities. In addition, the results of identifying the five words that most often appear in traveler reviews for Tripadvisor's top 10 recommended hotels are 1170 great words, 1222 bunaken words, 1550 resort words, 1613 diving words, and 1711 dive words. This indicates that the characteristics of tourists who have the motive of traveling to Bunaken National Tourism Park have the intention to use resort accommodations around Bunaken and have mobility and facilities to support diving activities. Thus, the output of this study can be used as a recommendation for accommodation service managers to prepare supporting facilities for tourists who want to visit Bunaken National Park.
Co-Authors A.Y. Agung Nugroho Agnes Harnadi Agnes Harnadi Agung Mulyadi Purba Alfonso Harrison Aloisius Gita Nathaniel Astuti Kusumawicitra Astuti Kusumawicitra Laturiuw Astuti Kusumawicitra Laturiuw Bernardus Alvin Rig Bernardus Alvin Rig Biafra Daffa Farabi Biafra Daffa Farabi Billy Macarius Sidhunata Brito, Manuel Charitas Fibriani Christanto, Henoch Juli Christine Dewi Danny Manongga Dasra, Muhamad Nur Agus Eko Sediyono Eko Widodo Elfin Saputra Elfin Saputra Elly Esra Kudubun Fang, Liem Shiao Faskalis Halomoan Lichkman Manurung Gatot Sasongko Gilberto Dennis G E Sidabutar Gintu, Agung Rimayanto Gudiato, Candra Henoch Juli Christanto Henoch Juli Christanto Heru Prasadja Heru Prasadja, Heru Hindriyanto Dwi Purnomo Hironimus Cornelius Royke Irene Sonbay Irwan Sembiring Jesslyn Alvina Seah Jonathan Tristan Santoso Juli Christanto, Henoch Kartikawangi, Dorien Kusumawicitra, Astuti Manuel Brito Marthen Timisela Mavish, Steven Michael Kenang Gabbatha Nantingkaseh, Alfonso Harrison Nicolas Arya Nanda Susilo Nugroho, A. Y. Agung Octa Hutapea Octa Hutapea Pamerdi Giri Wiloso Pamerdi Giri Wiloso Pamerdi Giri Wiloso, Pamerdi Giri Pedro Manuel Lamberto Buu Sada Pinia, Nyoman Agus Perdanaputra Pontolawokang, Theresya Ellen Pristiana Widyastuti Pristiana Widyastuti Purwoko, Agus Puspitarini, Titis Radyan Rahmananta Radyan Rahmananta Rafael Christian Rahadi, Abigail Rosandrine Kayla Putri Rahmadini, Asyifa Catur Richard Emmanuel Adrian Sinaga Rosdiana Sijabat Samuel Piolo Seingo, Martha Maraka Setiawan, Ruben William Siemens Benyamin Tjhang Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suharsono SUHARSONO Suni, Eugenius Kau Tabuni, Gasper Tharsini, Priya Titi Susilowati Prabawa Titis Puspitarini Widodo, Eko Winayu, Birgitta Narindri Rara Yan Dirk Wabiser Yoel Kristian Zsarin Astri Puji Insani