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Role and Challenges of Information Technology Increasing Business Competitiveness of Siger Tower Reviewed Aspects of Business Economics on E-Business and E-Commerce Priadi, Raden Arum Setia; Muhammad, Meizano Ardhi; Djausal, Gita Paramita
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Objektives: Siger Tower Monument, a place where travelers travel, is on the limestone of Bakauheni Village. Related to that, Siger Tower Manager needs to build electronic commerce facility for international marketing of Lampung commodity. Methods / Statistical Analysis: After studying the details of existing commodity snippets only handicraft, selfie booth, rest area with Sumatera zero km point that can be facilitated it also requires preparation and arrangement of electronic business with priority on coffee commodities and derivatives in all stake holders. Test samples in the form of questioners to determine the preparedness of technology stakeholders, controlling the approach used compare the results obtained. Findings: UPTD Siger Tower needs preparation to welcome the opening of JTTS in the midst of land constraints where the tower positions belong to PT ASDP while the tower building belongs to the Lampung Provincial Government. This finding locks the development of management so that there is no form of cooperation that mentions the rights and obligations of the parties. It can be said that the minimum allocation of APBD for the care and development of Tower Siger. Its existence has a crucial position for the image of Lampung because: 1) Located at the point of 0 km Sumatra, near the Port of Bakauheni; 2) Siger Tower Tower landmark of Lampung; 3) Illustration Tower Siger used the community of Lampung as a symbol of Lampung. Phillip Kotlers marketing mix consists of four things that need to be considered to support marketing to answer consumer demand: product, price, place, and promotion, to consider the development of Siger Tower as a tourist destination and icon of Lampung. Local products come from the regions main commodities, coffee (mostly highland robusta) sold in the form of seeds, powder in various brands because of the variety of producers. The arrangement of the electronic business cultivates collaborative development opportunities to build the image of the Siger Tower for coffee connoisseurs, partly from outside Lampung Province. Application / Improvements: Portal providers of tourism support services with marketing information Tower of Siger related to various products to potential development opportunities for major coffee commodities. For the traveler in his rest area, presented the sale of seeds, coffee powder.Â Keywords: E-Business, E-Commerce, Tower Siger, and Coffee.

IKiS Self Service Kiosk for Library Service -, Mardiana; Muhammad, Meizano Ardhi
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Institutional Repository (IR) Digital Collections in Unila Library is a restricted access collection, it is not directly accessible for users. Transactions such as whole collection information retrieval, printing and payment can be made only through librarians. Sometimes it leads to slow services due to the number of transaction requests queues from users. There were no system or device such as Kiosk that can be used independently for such purposes to minimize or even eliminate queue for librarians. Purpose of this research is to develop a KiosK self-contained system called Interactive Kiosk System (IKiS). IKiS serves for searching, accessing information as well as for self-printing transactions in Unila Library. IKiS hardware development uses hardware interface for input (barcode reader) and output (printer). IKiS casing made in accordance with the size and layout of the device as well as considering user ergonomics. Prototype method used for software development which focuses on functionality and user ergonomic. Data source retrieved from existing system data library which are IR collection on Eprints, ebook collection and ejournal collection on SLiMS. API (Application Programming Interface) is developed for transaction between data source to IKiS software. Testing is done on hardware, software, and both as a whole unit. Based on the test results, IKiS Print Mandiri can work well and meet the functionality required by Unila library. The research succeeded in realizing KiosKs self-service printing system tested on IR Library collection users of Unila Library. Use of the Web Service API and common computer tools make IKiS Independent Print agnostic against the IR Digital Collection system. This provides an opportunity for adoption on a wider scale as an improvement of services in the Library in general.Keyword: Index Termsâe-Kiosk, Institutional Repository, Library Services, Self-service Printing

Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification Andrian, Rico; Maharani, Devi; Muhammad, Meizano Ardhi; Junaidi, Akmal
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January-June (Articles in press 2/7)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Gita Persada Butterfly Park is the only breeding of engineered in situ butterflies in Indonesia. It is located in Lampung and has approximately 211 species of breeding butterflies. Each species of Butterflies has a different texture on its wings. The Limited ability of the human eye to distinguishing typical textures on butterfly species is the reason for conducting a research on butterfly identification based on pattern recognition. The dataset consists of 600 images of butterfly?s upper wing from six species: Centhosia penthesilea, Papilio memnon, Papilio nephelus, Pachliopta aristolochiae, Papilio peranthus and Troides helena. The pre-processing stage is conducted using scaling, segmentation and grayscale methods. The GLCM method is used to recognize the characteristics of butterfly images using pixel distance and Angular direction 0o, 45o, 90o and 135o. The features used is angular second moment, contrast, homogeneity and correlation. KNN classification method in this study uses k values1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21 and 23 based on the Rule of Thumb. The result of this study indicate that Centhosia penthesilea and Papilio nephelus classes can be classified properly compared to the other 4 classes and require a classification time of 2 seconds at each angular orientation. The highest accuracy is 91.1% with a value of in the angle of 90o and error rate8.9%. Classification error occured because the value of the test data features is more dominant with the value of the training image features in different classes than the supposed class. Another reason is because of imperfect test data.

PROTOTYPE SISTEM PINTAR PENGELOLAAN TAMAN BUNGA BERBASIS TEKNOLOGI INTERNET OF THINGS (STUDI KASUS TAMAN KUPU-KUPU GITA PERSADA) Nama, Gigih Forda; Setia, Harlika Nobra; Komarudin, Muhammad; Muhammad, Meizano Ardhi
Gema Teknologi Vol 21, No 1 (2020): April 2020 - October 2020
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i1.32912

Usually the process of watering and monitoring of plants in the Gita Persada Butterfly Park in Lampung Province is carried out using conventional methods, this condition create many problems. The research aims is to create a prototype of flower garden application based on Internet of Things (IoT) technology. An application that can help relieve watering activities and monitoring with automated system developed by protoyping method, that consist of; communication stage, quick plan and modelling quick design, construction of prototype, and deployment delivery and feedback. This application use microcontroller Arduino Uno as the main controller, temperature sensor, air humidity (DHT11), soil humidity, ultrasonic sensorsÂ (HC-SR04) and application on smartphones android for monitoring. Data delivery between arduino devices, smartphones and databases using website service. There is a firebase library on website Service to connect to firebase. Data transmitted by the device arduino through the protocol http with the command get, send, and push, then received by website Service and forward to be saved on firebase. Based on the data obtained at the air temperature and humidity monitoring around the smart garden for 31 days from April 8 to May 8 , the lowest air temperature is 25Â°C at 08.00 WIB, 26 April and the highest air temperature 30 Â°C at 12.00 WIB, 19 April. The average air humidity value is at 95%.

Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification Andrian, Rico; Maharani, Devi; Muhammad, Meizano Ardhi; Junaidi, Akmal
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i1.1602

Gita Persada Butterfly Park is the only breeding of engineered in situ butterflies in Indonesia. It is located in Lampung and has approximately 211 species of breeding butterflies. Each species of Butterflies has a different texture on its wings. The Limited ability of the human eye to distinguishing typical textures on butterfly species is the reason for conducting a research on butterfly identification based on pattern recognition. The dataset consists of 600 images of butterflyâ€™s upper wing from six species: Centhosia penthesilea, Papilio memnon, Papilio nephelus, Pachliopta aristolochiae, Papilio peranthus and Troides helena. The pre-processing stage is conducted using scaling, segmentation and grayscale methods. The GLCM method is used to recognize the characteristics of butterfly images using pixel distance Â and Angular direction 0o, 45o, 90o and 135o. The features used is angular second moment, contrast, homogeneity and correlation. KNN classification method in this study uses k values1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21 and 23 based on the Rule of Thumb. The result of this study indicate that Centhosia penthesilea and Papilio nephelus classes can be classified properly compared to the other 4 classes and require a classification time of 2 seconds at each angular orientation. The highest accuracy is 91.1% with a value of Â in the angle of 90o and error rate8.9%. Classification error occured because the value of the test data features is more dominant with the value of the training image features in different classes than the supposed class.Â Another reason is because of imperfect test data.

Identifikasi Kupu-Kupu Menggunakan Ekstraksi Fitur Deteksi Tepi (Edge Detection) dan Klasifikasi K-Nearest Neighbor (KNN) Andrian, Rico; Anwar, Saipul; Muhammad, Meizano Ardhi; Junaidi, Akmal
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 2 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i2.1744

Lampung has the only breeding of in situ butterflies engineered in Indonesia namely Gita Persada Butterfly Park, which has approximately 211 butterfly species. Butterflies can be classified according to patterns found on the wings of a butterfly. The weakness of the human eye in distinguishing patterns on butterflies is a foundation in building butterfly identification based on pattern recognition. This study uses 6 species of butterflies: Papilio memnon, Troides helena, Papilio nephelus, Cethosia penthesilea, Papilio peranthus, and Pachliopta aristolochiae. The butterfly dataset used is 600 images. The butterfly image used is in the form of the upper wing side. The pre-processing stage uses the method of scaling, segmentation, and grayscale. The feature extraction stage uses the canny edge detection method by applying smoothing, edge strength, edge direction, non maximum suppression, and hyterisis thresholding. The classification phase uses the K-Nearest Neighbor (KNN) method with values k = 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21 and 23 obtained under the Rule of Thumb. The identification of butterfly require a classification time of 8 seconds. The highest accuracy is obtained from testing with a value of k = 5 by 80%.

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