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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
Yerik Afrianto Singgalen
Universitas Katolik Indonesia Atma Jaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Public Health Social Sciences Other

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Digital Innovation Design of Tourism Destination Marketing Website Using Design Thinking Method Stephen Aprius Sutresno; Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.464

Abstract

This study aims to design a marketing website for special interest tourism destinations in North Halmahera Regency. The method used is design thinking. The design thinking method has five stages: empathize, define, ideate, prototype, and test. At the empathize stage, the needs of system users are classified based on the characteristics of the user as a host or guest. In the define stage, the problem statement technique is used to define the problems and needs of users into four parts: lack of awareness and exposure, limited digital infrastructure, the limited availability of tourism-related infrastructure, and the lack of tourism-related data. At the ideation stage, the main problem identified related to the marketing of special interest tourist destinations is the lack of tourism-related data, so the idea to solve the problem is through the design of a website that accommodates all information about destinations and events, hotel accommodation services, resorts and cottages, vehicle rental services, and travel experiences to North Halmahera which are shared in the form of articles to short videos. At the prototype stage, the database and interface design are designed according to the analysis results at the empathize, define, and ideate stages. Furthermore, at the testing stage, aspirations about prototypes are carried out through posters and short videos to gain insight into the subsequent development. Thus, marketing special interest tourist destinations becomes more effective and efficient using a website-based digital platform.
Strategic Planning for Student Guidance Information System Design in Tourism Department using Ward and Peppard Framework Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.486

Abstract

This study examines the challenges faced by students during the thesis completion process, including miscommunication, document loss, and difficulty scheduling guidance sessions. To address these issues, Ward and Peppard's method was utilized to design a strategic plan for the Tourism Department at Atma Jaya Catholic University of Indonesia. The research findings reveal that the implementation of the student guidance information system, "SIBIMA," results in an efficient and effective process for student registration, supervisor verification, document upload/download, manuscript correction, and monitoring of student progress. Furthermore, the SWOT analysis, Value Chain, Critical Success Factor (CSF), Porter Five Forces model, and McFarlan Grid Portfolio demonstrate that SIBIMA effectively utilizes strengths to overcome weaknesses and minimize threats.
Sentiment Analysis of Raja Ampat Tourism Destination Using CRISP-DM: SVM, NBC, DT, and k-NN Algorithm Astuti Kusumawicitra Laturiuw; Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.490

Abstract

This study presents a sentiment analysis of tourists' opinions on Raja Ampat Tourism Destination using data mining techniques. The study collected data from Tripadvisor and processed it through sentiment classification. The algorithms used in the analysis were Support Vector Machine, Naive Bayes Classifier, Decision Tree, and k-Nearest Neighbor. The study followed the Cross-Industry Standard for Data Mining methodology and went through several stages such as business and data comprehension, data preparation and cleaning, feature selection, modeling, model evaluation, result presentation, deployment, and maintenance. The study's findings revealed that visitors generally had positive opinions about Raja Ampat's tourism attractions, particularly cultural diversity, and undersea beauty. The Decision Tree algorithm showed the highest accuracy value of 99.12%, precision of 98.96%, recall of 99.34%, AUC of 0.991, and f-measure of 99.13%. SVM also had excellent performance with an accuracy value of 100%, precision of 100%, recall of 100%, AUC of 1.000, and f-measure of 100%. The study concludes that Decision Tree and SVM, with the assistance of SMOTE operators, are the best algorithms for sentiment analysis in this context.
Community Participation in Tourism Development in the Village: Examining from Subang District, Indonesia Yerik Afrianto Singgalen; Astuti Kusumawicitra Laturiuw; Titis Puspitarini; Zsarin Astri Puji Insani
Jurnal Studi Sosial dan Politik Vol 7 No 1 (2023): Jurnal Studi Sosial dan Politik
Publisher : FISIP Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jssp.v7i1.14737

Abstract

This research aims to identify the potential and readiness of the Ponggang community to develop tourism villages. Considering the implications of development on the transformation of people's livelihoods have a dual effect in various sectors of the economy, this research is necessary to obtain comprehensive and contextual information. The research method used is qualitatively interpretive through a case study approach in Ponggang Village, Serang Panjang District, Subang, West Java. The data collection techniques are in-depth interviews, observations, and document studies. In-depth discussions of key informants are needed to identify stakeholder perceptions. This Research discussed a Ladder of Participation Theory by Arnstein. The findings of this study reveal that the pattern of Ponggang communities’ social interaction is attached to the action of cooperation. It becomes a socio-cultural characteristic that affects the process of infrastructure development. It indicates that social ties strengthen communal norms and foster a sense of belonging to development programs. At the same time, it also triggered a positive response that was expressed in the sincere expression of the community to actively participate in partnership programs with the government and academics institution to develop the potential of natural resources, human resources, and cultural resources as a tourism destination. Based on the form and level of participation stated by Arnstein, the structure of the involvement relevant to the context of the Ponggang community has increased from informing, consultation, and placation to the steps of partnership and delegated power. Thus, there is a potential to achieve the stage of citizen power and become economically independent through tourism development.
Analisis Sentimen Top 10 Traveler Ranked Hotel di Kota Makassar Menggunakan Algoritma Decision Tree dan Support Vector Machine Yerik Afrianto Singgalen
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1153

Abstract

Travel planning popularized by influencers sparks audiences to review destinations based on image and attractiveness before designing a trip alone, with family, with friends, or as a couple. This research offers ideas to analyze the sentiment of travelers who use hotel accommodation services in Makassar based on Tripadvisor website review data. The method used is the Cross-Industry Standard Procedure for Data Mining (CRISP-DM) with the following stages: business understanding stage, data understanding stage, data preparation stage, modeling stage, evaluation stage, and deployment stage. The results of this study show that the business understanding stage shows the importance of identifying and analyzing tourist behavior related to the assessment of location, cleanliness, service, and hotel value as a strategic step to develop a hotel imaging program to attract tourists with guest characteristics (solo, couple, business, family). The data understanding stage refers to the features processed according to the CRISP-DM method and supporting data for analysis and discussion of the context of Tripadvisor's Top 10 recommended hotels in Makassar. At the data preparation stage, the amount of text data that has been processed using the Decision Tree (DT) algorithm and Support Vector Machine  (SVM) is 1,138 through data pre-processing (tokenize, transform cases, filter tokens by length, stopwords, stemming). At the modeling stage, the algorithm that shows the best performance is SVM, with an accuracy value of 98.98%, a precision value of 100%, a recall value of 97.96%, an f-measure discount of 98.97%, and an AUC value of 100%. At the evaluation stage, it can be seen that the classification of reviews is dominant on positive sentiment compared to negative sentiment. Thus, the recommendation for the deployment stage is optimizing products and services related to room amenities, room features, room type, cleanliness, service, value, and location. 
Analisis Model Pendukung Keputusan Simple Additive Weighting (SAW) terhadap Top 10 Traveler Ranked Hotel Yerik Afrianto Singgalen
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1159

Abstract

The decision support model is essential in helping passengers choose which tourist attractions and lodging facilities to use. However, creating systems for prioritizing institutional programs remains the sole focus of research into decision-support models.Considering this, this study offers ideas to analyze the Simple Additive Weighting  (SAW) decision support model as a support for hotel stay decisions based on data from the top 10 traveler-ranked hotels in Makassar City as follows: Claro Makassar; The Rinra Makassar, Swiss-Belhotel Makassar; Novotel Makassar Grand Shayla; Almadera Hotel; Dalton Hotel Makassar; MaxOneHotels @Resort Makassar; Ibis Makassar City Center; Harper Perintis-Makassar; Aryaduta Makassar. The criteria set out in this study are divided into two parts: standards based on the availability of room rooms (property amenities, room features, and room types) and hotel guest ratings (location, cleanliness, services, value). The categories and weights of values based on room availability are as follows: property amenities are categorized as the cost with a weight of 0.50; Room feature is ranked as the cost with a weight of 0.25; room type is classified as the cost with a weight of 0.25. In addition, the categories and weights of values based on guest ratings are as follows: location is categorized as benefit with a weight of 0.20; cleanliness is categorized benefit with a weight of 0.25; Service is categorized benefit with a weight of 0.30, and value is classified as cost with a weight of 0.25. The results of this study show that the ranking can be categorized into two, namely, based on room availability and hotel guest ratings. Based on room availability criteria (property amenities, room features, and room type), Novotel Makassar Grand Shayla ranks first with a total value of  0.85, and Ibis Makassar City Center Hotel ranks second with a total value of 0.75. Based on the assessment of hotel guest rating criteria (location, cleanliness, services, value), Arya Duta Hotel ranks first with a total value of 0.94, and Almadera Hotel ranks second with a total value of 0.88. Thus, accommodation services can be recommended to guests based on room availability (property amenities, room features, and room type) or guest ratings (location, cleanliness, services, value) in the top 10 traveler-ranked hotels in Makassar City.
Implementation of Spatio-Temporal Analysis for Land Use Management and Urban Planning in North Halmahera Regency 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.v4i2.1256

Abstract

This study aims to examine the attributes of spatio-temporal dynamics and the progression of land-use alterations, which is imperative for comprehending and appraising the condition and transformation of ecosystems. When employed in the context of North Halmahera Regency, this analysis can furnish fundamental insights to facilitate informed decision-making in urban planning. By understanding the spatio-temporal dynamics of land use change in the region, decision-makers can make more effective choices regarding infrastructure development, resource allocation, and sustainable urban growth, ultimately leading to more resilient and well-planned urban environments. In the methodology section, this study employed Landsat 8 OLI satellite imagery and Geographic Information System (GIS) technology to investigate the spatio-temporal dynamics and land use changes in North Halmahera Regency from 2013 to 2023. These Research Findings show that land use management for urban planning objectives should assess several dimensions, such as preserving Hibualamo cultural values, settlement patterns derived from household livelihood assets, and Tobelo City's economic activities.
KEWIRAUSAHAAN SOSIAL DAN AKSES MOBILITAS TERHADAP MODAL DALAM PERSPEKTIF PENGHIDUPAN BERKELANJUTAN Yerik Afrianto Singgalen
AdBispreneur : Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausahaan Vol 8, No 1 (2023): AdBispreneur : Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausa
Publisher : Departemen Ilmu Administrasi Bisnis, Fakultas Ilmu Sosial dan Ilmu Politik, UNPAD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/adbispreneur.v8i1.37301

Abstract

Within the framework of sustainable livelihoods, mobility of access to capital is influenced by policy and institutional support to address the context of vulnerabilities that hinder sustainability. The Covid-19 pandemic disaster is one of the vulnerable contexts that need to be addressed in policies and institutions to maintain the sustainability of people's livelihoods. In the Indonesian context, few studies link the sustainable livelihood approach to social entrepreneurship. This study offers an idea to describe in-depth the contribution of the social company Yayasan Cinta Anak Bangsa (YCAB) in minimizing the context of vulnerability, namely the impact of the Covid-19 pandemic sustainability on people's livelihoods in Indonesia. The research method used is interpretive qualitative, through a case study approach at the Cinta Anak Bangsa Foundation (YCAB). The research data collection techniques used were in-depth interviews, observation, and document studies. Also, the triangulation technique was used to obtain valid and credible information. This study indicates that the social entrepreneurship approach effectively mobilizes access to human capital, financial capital, physical capital, natural capital, and social capital. It is embodied in the HELP, HOLD, and HOPE programs which are the pillars of YCAB's social enterprise to increase people's access to education, social welfare, and sustainability.Kerangka penghidupan berkelanjutan menunjukkan bahwa akses mobilitas terhadap modal dipengaruhi oleh dukungan kebijakan dan kelembagaan untuk mengatasi konteks kerentanan yang menghambat keberlanjutan. Bencana pandemic Covid-19 merupakan salah satu konteks kerentanan yang perlu diatasi secara kebijkan dan kelembagaan untuk mempertahankan keberlanjutan penghidupan masyarakat. Dalam konteks Indonesia, belum banyak penelitian yang menghubungkan pendekatan penghidupan berkelanjutan dengan konsep kewirausahaan sosial. Mempertimbangkan hal tersebut, penelitian ini menawarkan gagasan untuk menguraikan secara mendalam kontribusi perusahaan sosial Yayasan Cinta Anak Bangsa (YCAB) dalam meminimalisir konteks kerentanan yakni dampak pandemic Covid-19 bagi keberlanjutan penghidupan masyarakat di Indonesia. Metode penelitian yang digunakan ialah kualitatif interpretatif, melalui pendekatan studi kasus pada Yayasan Cinta Anak Bangsa (YCAB). Teknik pengambilan data penelitian yang digunakan ialah wawancara mendalam, observasi, dan studi dokumen. Adapun, teknik trianggulasi diadopsi untuk memperoleh informasi yang valid dan kredibel. Hasil penelitian ini menunjukkan bahwa pendekatan kewirausahaan sosial sangat efektif dalam memobilisir kapabiltias akses terhadap modal manusia, modal finansial, modal fisik, modal alam, dan modal sosial. Hal tersebut terejawatahkan dalam program HELP, HOLD, dan HOPE yang menjadi pilar utama perusahaan sosial YCAB untuk meningkatkan kapabilitas akses masyarakat terhadap pendidikan, kesejahteraan sosial, dan berkelanjutan.
Analisis Sentimen dan Sistem Pendukung Keputusan Menginap di Hotel Menggunakan Metode CRISP-DM dan SAW Yerik Afrianto Singgalen
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3917

Abstract

Research combining sentiment analysis approaches with decision support systems in the hospitality industry is still very limited. This study aims to analyze hotel guest sentiment based on location, cleanliness, service, and value criteria using Cross Industry Standard Process for Data Mining (CRISP-DM) to identify five and ten famous words based on sentiment data and the sentiment classification model with the best performance. Furthermore, the results of identifying five and ten famous words based on sentiment data related to location, cleanliness, service, and value ratings were processed using the Simple Additive Weighting (SAW) method. The results of this study show that the performance of SVM algorithms using SMOTE operators has accuracy values (99.74%), precision values (100%), recall values (99.48%), f-measure values (99.74%), and AUC (100%). This shows that sentiment classification results using the SVM algorithm with SMOTE operators can be used as a sentiment data classification model with 30% training and 70% test data. This model is relevant to be used as a model for the classification process of 1680 review data obtained from the Tripadvisor website at Grand Zuri Malioboro Hotel Yogyakarta, Tentrem Hotel Yogyakarta, Grand Ambarukmo Hotel, El Royale Yogyakarta Malioboro, and Ceria Hotel @alun alun Yogyakarta. Specifically, aspects that concern guests relate to staff, breakfast, room, and service. In addition, the results of the implementation of the SAW method show that Grand Zuri Malioboro Hotel Yogyakarta ranks first with a total value of 0.907663917. Otherwise, Ceria Hotel @alun Yogyakarta Square ranks second with a total value of 0.897193878. Meanwhile, Hotel Tentrem Yogyakarta ranks third with a total value of 0.861265289. This shows that hotel guests who assess the criteria of location, cleanliness, service, and value by giving value weights as rated on the Tripadvisor website and provide importance weights with similar values, where location (0.20), cleanliness (0.25), service (0.30), value (0.25) then the alternative with the highest weight is Hotel Grand Zuri Malioboro Yogyakarta.
Point of Sales (POS) System Design using Design Thinking Framework for Motorcycle Workshop Billy Macarius Sidhunata; Michael Kenang Gabbatha; Nicolas Arya Nanda Susilo; Pedro Manuel Lamberto Buu Sada; Biafra Daffa Farabi; Samuel Piolo; Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 3 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i3.515

Abstract

The challenge of MSME business is the change of transaction systems from conventional to digital processes to minimize human error. This research offers an idea to identify problems, classify digital innovation ideas, analyze needs, and design management information systems Point of Sales (POS) modules in CV. Renaldi Motor. The method used in designing the management information system of the POS module of the OmO Jaya Workshop application is design thinking. The stages in this research consist of empathizing, defining, ideating, prototyping, and testing. The results of this study show that the problem faced by Micro, Small, and Medium Enterprises (MSMEs) workshop businesses is the process of recording transactions that still use conventional methods. Through the digital innovation of the POS module management information system in the form of the OmO Jaya workshop application. Through the application, a CV. Renaldi Motor is expected to optimize the digital transaction recording system and improve business performance. Thus, the risk of business losses due to human error can be minimized. In addition, the Blackbox test results show that the test results in each process have been successful and as expected. This study concluded that the Point of Sales (POS) System can improve CV. Renaldi Motor's business performance through digitizing the sales transaction recording process.
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