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Analysis and Design of Digital Marketing Information System for Building Material Store Elfin Saputra; Bernardus Alvin Rig; Octa Hutapea; Radyan Rahmananta; Agung Mulyadi Purba; 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.v5i3.519

Abstract

The manual nature of Material Store such as Toko Bangunan Berkat Rezeki's current business operations is one of the hurdles it encounters in marketing. This study intends to build a marketing information system for the products and services of Toko Bangunan Berkat Rezeki utilizing the 4P marketing mix idea (product, price, place, and promotion). The framework for application design is design thinking, which includes empathy, defining, ideating, prototyping, and test phases. Business owners, employees, and customer's requirements are identified during the empathize phase. In addition, at the designated stage, each system user's business operational difficulties are ranked according to a scale of importance. At the ideate stage, the outcomes of selecting and organizing problems and wants of system users based on priority scales are used to create flows and authorities according to their respective functions. At the prototype stage, the application interface is designed based on the demands and rules of system users and follows the 4P marketing mix concept. In the testing phase, test the login procedure for each user and the procedures for adding, saving, viewing, updating, and removing data. The findings of this study indicate that information on products, product prices, and product promotions may be handled by a website-based marketing information system, such that place is no longer synonymous with a physical store but rather an intangible one. Consequently, Toko Bangunan Berkat Rezeki can employ a website-based marketing information system to enhance sales volume and expand its market reach.
Analysis and Design of Information System for Parking Management “ParkHere” Using Design Thinking Method Richard Emmanuel Adrian Sinaga; Jonathan Tristan Santoso; Irene Sonbay; Aloisius Gita Nathaniel; Faskalis Halomoan Lichkman Manurung; 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.v5i3.520

Abstract

Finding a secure and comfortable parking space is one of the needs of automobile owners when they visit retail centers. The ability of parking lot managers to provide information on sufficient capacity and access presents a barrier to delivering parking facilities in retail centers. Due to this, a website-based parking facility management information system is required, allowing drivers to make reservations and payments online based on when they plan to visit the shopping center. The method used in the design of ParkHere information systems is design thinking which consists of empathizing, defining, ideating, prototyping, and testing stages. The output of this study shows that at the empathize stage, motorists need information about the capacity of parking lots in various shopping centers before visiting the location. At the defined stage, this shows the need for motorists for website-based and real-time parking facility information. At the idea stage, it is necessary to design an information system based on the website that provides information on the capacity of parking facilities based on the operational time of the shopping center. At the prototype and testing stages, the ParkHere information system can answer the user's needs in choosing a place and location for vehicle parking based on the specified time.
Elevating 'TutorYuk' Online Peer Tutoring Services Through Information System: A Design Thinking Framework Approach Jesslyn Alvina Seah; Gilberto Dennis G E Sidabutar; Rafael Christian; Siemens Benyamin Tjhang; Yoel Kristian; 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.v5i3.523

Abstract

Through applications supporting informal education services, the development of information technology during the fourth industrial revolution has promoted the growth of the education industry in Indonesia. This study uses the Design Thinking framework to design and analyze information systems for the online peer tutoring services known as TutorYuk. The stages in system design are as follows: empathize stage, namely the process of identifying user needs and classifying practical problems related to requirements in the informal education sector; define the location, analyze the priority of user needs and issues that need to be solved through information systems; the idea stage, the process of networking aspirations related to solutions to problems in the education sector that shows the urgency of system design; prototype stage, design system flow and function and visualization of application interfaces; Testing stage, testing system performance. The findings of this study demonstrate that TutorYuk is built to suit student needs for learning help based on course names and instructor qualities chosen by users. The duration and experience of the instructor are considered when providing tutoring services so that they can be tailored to the client's needs. Consequently, by offering digital media to service suppliers (tutors) and service recipients, TutorYuk can become a commercially successful application (tutees).
Implementasi Metode Simple Multi Attribute Rating Technique (SMART) dalam Pemilihan Zona Prioritas dan Alternatif Berbasis Data Klasifikasi Indeks Vegetasi Yerik Afrianto Singgalen
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4085

Abstract

Vegetation index analysis using the Normalized Difference Vegetation Index (NDVI) model needs to be processed using a decision support model to follow up on the Landsat 8/9 Operational Land Imaginer (OLI) satellite image data interpretation results. However, studies using the Simple Multi-Attribute Rating Technique (SMART) method to determine priority zones based on vegetation index classification data are still limited. This study uses the SMART decision support model to process NDVI classification data in mangrove areas. The stages in this study consist of four parts: the data collection stage, the data processing stage; the data analysis stage; and the data interpretation stage. At the data collection stage, the raster data used was sourced from the United States Geology Survey (USGS) platform, namely Landsat 8/9 OLI with coordinate raster data (Lat 01o43'18" N, Lon: 128o04'15" E) in 2013, 2018, and 2023. In addition, video and aerial photographs at the study site were taken using drones (Phantom 4 Version 2). At the data processing stage, the model used in calculating raster data is NDVI using the QGIS 3.30.1 application. This research data analysis and interpretation stage uses the SMART decision support model. The SMART decision support model is used to produce recommendations for priority zones for mangrove ecotourism development based on the results of the NDVI classification (minimum value, average value, maximum value) adjusted to the Decree of the State Minister of Environment Number 201 of 2004 concerning standard criteria and guidelines for mangrove forest destruction (rare, medium, and dense). Based on the calculation of the utility value of criterion C1 as a cost with a weight of 0.50 in the NDVI classification data for 2023, the second observation station is recommended as a priority zone with a total value of 0.50. Meanwhile, the calculation of the utility value of criterion C3 as a cost with a weight of 0.50 in the NDVI classification data in 2023 recommended the third observation station as a priority zone with a total value of 0.88. This means that the SMART method can be used to identify and analyze priority and alternative zones for the sustainable development of mangrove ecotourism areas.
Analisis Hasil Implementasi Multi-Attribute Utility Theory (MAUT) dalam Pengemasan Paket Wisata Tematik Yerik Afrianto Singgalen
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4144

Abstract

The travel industry plays a vital role in maximizing the marketing of tourist destinations, but the process of determining tour packages must consider consumer purchasing power concerning destination ticket prices, distance and travel time, availability of accommodations and amenities services, and regulations. This study seeks to use the Multi-Attribute Utility Theory (MAUT) decision support model to tourist case studies from Ternate City to determine superior tour packages. In the meantime, the context of destinations, accommodation services, and transportation services is incorporated into the use of the MAUT decision support model. The following criteria are established based on the category of the location: entrance fee; facilities and infrastructure; local tour guides; type of activity at the destination; Security, and Hygiene. The following criteria are established based on the category of lodging services: standard room rate, property amenities, room features, room type, and services. In addition, the criteria established based on the category of transportation services are as follows: rental pricing; car type; vehicle amenities; driver experience. The findings of this study indicate that A5 tourist destinations are recommended, with a total value of 0.90, based on destination category, criteria and criteria values related to ticket prices (10), facilities and infrastructure (20), availability of local tour guides (10), diversity of activities (20), safety (20), and cleanliness (20). In addition, based on the criteria and weights related to standard room rental costs (20), property amenities (20), room features (20), room type (10), and services (30), we propose A1 with a total value of 0.85 in the accommodation services category. In the field of transportation services, we offer A2 with a total score of 0.83 based on criteria and weights relating to rental price (25), vehicle type (25), car amenities (25), and driver experience (25). Using the MAUT decision support model, it is evident that the packaging of tour bundling becomes more effective and efficient
Analisis Indeks Vegetasi dan Perancangan Sistem Monitoring Kawasan Ekowisata Mangrove Berbasis Hyper Spectral of Remote Sensing dan Design Thinking Framework Yerik Afrianto Singgalen
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4005

Abstract

One of the challenges in decision-making for determining the direction of mangrove ecotourism development policies and programs on Tagalaya Island is the availability of mangrove databases at each observation station and remote sensing models used to identify mangrove forest density. This research offers the idea of combining the hyperspectral method of remote sensing with the information system design method design thinking framework. Meanwhile, the location of this research is the mangrove ecotourism area of Tagalaya Island, North Halmahera Regency, North Maluku Province, Indonesia. The findings of this study demonstrate the need to use remote sensing to locate and evaluate spatial data, particularly index values based on NDVI models for each Tagalaya Island observation station. The first and second observation stations are shown to be included in the unusual group by the computation results of the 2023 raster data in the mangrove area of Tagalaya Island. The third observation station is also included in the medium category. The monitoring information system for the Tagalaya mangrove ecotourism region is also a solution to the mangrove database challenge in deciding the direction of Tagalaya mangrove ecotourism policies and activities (SIMOKE Tagalaya). Thus, the problems and solutions encountered in enhancing the monitoring program of mangrove ecotourism areas on Tagalaya Island become relevant and contextual when applying the hyperspectral method of remote sensing and information system design using a design thinking framework.
Destination Branding dan Optimalisasi Performa Kelompok Sadar Wisata (Pokdarwis) melalui Sistem Informasi Desa Wisata Berbasis Bauran Pemasaran 9P Yerik Afrianto Singgalen
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4353

Abstract

The challenge in destination branding is the support of all stakeholders in the tourism sector through collaboration and synergy in tourism potential management. To improve the positive image of the destination, digital campaigns are one of the practical approaches to attract tourist visits. Meanwhile, the Kelompok Sadar Wisata (Pokdarwis) is a driving force that triggers local communities' participation and encourages tourism development in each region. However, there are challenges in realizing the synergy of stakeholders' interests to improve the positive image of tourism villages. This research aims to design a tourism village information system that encourages the performance of Pokdarwis while destination branding. In addition, the framework used in system design is design thinking based on the 9P marketing mix (Product, Price, Promotion, Place, People, Physical Evidence, Process, Performance, and Partnership). The results of the system design show that Pokdarwis is essential as an actor who has access to data and information management and system operations integrated with the 9Ps with the following description: product is a series of activities or services in a tourist village that tourists can purchase; price, is the value of the service package that can be accessed by tourists based on the latest price; promotions, are added value and special prices offered based on time frames; place, is the location of activities offered by the theme of the activity; people, emphasizing the party in charge involved in each activity; physical evidence emphasizes the facilities available to support activities; process, is the flow of ordering and using the services offered; performance, emphasizing the history of previous service delivery; Partnership, is a partner involved directly or indirectly as a supporter of tourism services. This shows that the tourism village information system based on the 9P marketing mix can optimize the performance of Pokdarwis while forming destination branding.
Penerapan Metode Elimination Et Choix Traduisant la Realite (ELECTRE) dalam Proses Segmenting, Targeting, dan Positioning Layanan Akomodasi Yerik Afrianto Singgalen
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6677

Abstract

One of the challenges in marketing marketing strategy is determining the appropriate segments and target markets and increasing competitiveness through solid positioning. To determine the STP (Segmenting, Targeting, Positioning) marketing strategy in the accommodation service business, it is necessary to support decision-support models relevant to resource availability and the market environment. This study applies the Elimination et Choix Traduisant la Realite (ELECTRE) method in segmenting, targeting, and positioning hotel, homestay, and resort accommodation services. The stages in the ELECTRE method are as follows:  the stage of determining criteria and alternatives; the stage of normalization of the decision matrix; the weighting stage of the normalization matrix; the stage of determining the set of concordance and discordance on the index; the calculation stage of the concordance and discordance matrices; the calculation stage of the dominant matrix of concordance and discordance; Determination stage aggregate dominance matrix; the stage of elimination of less favorable alternatives. Based on the results of this study, it is known that the ELECTRE method can provide a systematic decision-making structure and framework, especially in segmenting, targeting, and positioning, to optimize results by business goals. Based on the results of implementing the ELECTRE method, it can be seen that A1 has an E value of 63.52, so it occupies the first position. In addition, A2 has an E value of 53.74, so it occupies the second position. Also, A3 has an E value of 49.74, occupying the third position. Based on the application of the ELECTRE method, hotels (A1), homestays (A2),  and resorts  (A3) need to optimize the 9P marketing mix (product, price, place, promotion, people, process, physical evidence, performance, partnership) in the process of Segmenting, Targeting, and Positioning for the sustainability of the accommodation service business. However, there is a challenge in this method, which is the integration of subjective preferences of capital owners in the decision-making process using ELECTRE, which can lead to distortion of results due to subjectivity and individual interests.
Penerapan Metode CRISP-DM untuk Optimalisasi Strategi Pemasaran STP (Segmenting, Targeting, Positioning) Layanan Akomodasi Hotel, Homestay, dan Resort Yerik Afrianto Singgalen
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6896

Abstract

The challenge in maintaining the business continuity of hotel, homestay, and resort accommodation services is the use of technology and marketing methods that are effective and efficient. This study aims to apply the Cross Industry Standard Process for Data Mining (CRISP-DM) method to optimize hotel, homestay, and resort marketing strategies. This research uses case studies on hotel, homestay, and resort accommodation services based on the context of the service provider's business operational area in North Toraja Regency, South Sulawesi Province. The results of this study show that TF-IDF results and sentiment extracts can be utilized for segmenting and targeting processes. Based on the results of TF-IDF, it is known that the main emphasis of hotel, homestay, or resort guests (Toraja Herigate, Toraja Misiliana, Rosaliana Homestay, Hotel Pison, and Luta Resort Toraja) with business operational areas in Rantepao sub-district, North Toraja Regency, South Sulawesi Province, is as follows: staff (97), Rantepao (98), clean (108), breakfast (139), nice (147), rooms (165), toraja (177), good (189),  room (268), hotel (331). In addition, modeling results using the SVM algorithm with SMOTE operators can be used in positioning strategies to improve the competitiveness of accommodation services based on business operational areas. Specifically, the performance of the SVM algorithm using SMOTE operators resulted in an accuracy value of 97.64%, a precision value of 100%, a recall value of 95.37%, an f-measure value of 97.56%, an AUC value of 100%). Compared to the DT algorithm, the performance of SVM algorithms using SMOTE operators has better performance in the classification of review data. Thus, the CRISP-DM method is able to optimize the marketing strategy of hotels, homestays, and resorts.
Penerapan Metode TOPSIS Sebagai Pendukung Keputusan Pemilihan Layanan Akomodasi di Destinasi Wisata Pulau 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.v7i3.6530

Abstract

The selection of accommodation services in a tourist destination can be adjusted to the preferences of tourists. This study aims to recommend the TOPSIS method as a decision support system in the selection of accommodation services in tourist destinations, based on case studies of Morotai Island tourist destinations. The application of the TOPSIS method as decision support for the selection of accommodation services in Morotai Island tourist destinations consists of four stages as follows: the stage of making a normalized matrix, weighted normalized matrix manufacturing stage; steps determine the matrix of positive and negative ideal solutions; The step determines the preference value for each alternative. The criteria set are as follows: room price as a cost with an importance weight of 5; distance of the hotel to the destination as a benefit with an importance weight of 3; room type/class as a benefit with an importance weight of 4; hotel amenities as a benefit with an importance weight of 4; Service rating as a benefit with importance weight 4. Specifically, the accommodation service providers focused on are Daloha Resort; Metita Beach and Dive Resort; Moro Ma Doto; Molokai by Sahid Hotel; and Ria Hotel. The results of this study showed that the alternative with the highest preference value was Metita Beach and Dive Resort, with a value of 0.764348724, then Molokai by Sahid Hotel, with a value of 0.626002478. In addition, Daloha Resort has a value of 0.616994938, and Ria Hotel has a value of 0.61630669. Also, Moro Ma Doto has a value of 0.363441753. This suggests that travelers prioritizing price as the dominant factor with weight critical (5) will choose Metita Beach and Dive Resort. If the importance weight of each criterion is changed according to the traveler's perspective, the system will recommend different accommodation services. Thus, tourists can use the TOPSIS method in choosing accommodation services and give importance weight according to individual preferences. Therefore, the TOPSIS method can be used in selecting accommodation services in various tourist destinations.
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