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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
Arjuna Subject : -
Articles 6,923 Documents
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Pengembangan Sistem Rekomendasi Investasi Saham berbasis Web (Studi Kasus: Reliance Sekuritas Malang) Vicky Melinda Tanto; Tri Astoto Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stock investment recommendation is an activity of giving rating to stocks to determine whether the stocks are worth buying, holding, or selling. Stock investment recommendation is needed so that investors can invest with better considerations to their stock selection, and reduce risk of large financial losses. Stock investment recommendation are obtained by purchasing professional investment analyst services provided by securities companies. Reliance Securities Malang is a securities company that provides professional investment analyst services. The stock investment recommendation process is done by meeting in person, or online using a message exchange application, WhatsApp. One of the problems with the stock investment recommendation process is that the length of time required to produce an analysis is relatively lengthy, and by the time the analysis was given it may not apply to the latest stock price. A web-based stock recommendation system was developed to help with these problems. The system was developed using the waterfall model with an object-oriented approach. The system was implemented using several technologies: Typescript as the main development language, Express.js as the back-end framework, React.js as the front-end framework, and PostgreSQL as the database management system. The research resulted in analysis and specification of system requirements, design, system implementation and system testing results. The system is expected to be able to assist investors in their investment activities, as a consideration in selecting stocks
Pembangunan Aplikasi Program Membership Wahana Go-Kart menggunakan Flutter dengan Pustaka Deepface (Studi Kasus CV Indi Karya Teknik) Jemal Rashidi; Komang Candra Brata; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Batu City feels tight competition in the tourism industry as one of the tourist cities in East Java Province. As a token of appreciation for their loyalty to an organization or company, loyalty programs provide benefits or perceived value by members. As a company engaged in the tourism industry, especially in the Go Kart business in Batu City, East Java, CV Indi Karya Teknik implements and offers program membership services to their customers at their ride agency called Indigokart Indonesia. The implementation of the Indigokart Indonesia membership program has faced challenges in the form of cases of membership cards changing hands from card owners to their acquaintances, losing membership cards, and forced membership program members with tickets at normal prices, not at membership promo prices. CV Indi Karya Teknik requires an approach or substitute for implementing a membership card-based membership program as a solution for implementing their loyalty program. The use of mobile device technology and facial recognition technology can be used as a solution to solve the problem of implementing the Indigokart Indonesia loyalty program. the existence of the results of this study, changed the basis of the Indigokart Indonesia game vehicle membership program from membership card-based to facial recognition-based.
Sistem Deteksi Tahu Formalin dan Non Formalin dengan Metode Naive Bayes Bagaskara Oki Duwi Saputra; Mochammad Hannats Hanafi Ichsan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tofu is a processed food made from soybeans that are crushed or mashed into porridge and left for a predetermined time to produce good and quality tofu. Tofu is one of the foods that are often consumed by the public and not a few unscrupulous producers of tofu take advantage of this by cheating in the production of making tofu by adding materials that should not be used in production such as formalin and other chemicals. If the human body inhales and even consumes tofu which is formalin, it can cause serious health complications such as respiratory problems, digestive disorders, liver or liver disorders, even if consumed continuously can lead to kidney failure, heart disease, jaundice. or hepatitis and other chronic diseases. Therefore, a study is needed on detecting formalin or non-formalin tofu by using Arduino Uno as the microcontroller, TCS3200 color sensor, HCHO formalin sensor and using the Naive Bayes method as the classification process. In tests that have been carried out 10 times, the percentage of success is 100%.
Pengembangan Aplikasi Manajemen Finance Accounting pada Perusahaan Jasa Konstruksi berbasis Mobile (Studi Kasus : AMF-HAQ) Ibnu Adzakir; Nurudin Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

AMF-HAQ company was established in West Jakarta in 2006 which is engaged in construction services. In carrying out its business processes, the accounting division encountered several problems that could hinder AMF-HAQ from developing. The accounting division still uses Microsoft Excel to record financial reports which can cause piles of files and the absence of integrated data backups. This can result in financial data being vulnerable to data loss, long data retrieval processes, and a lack of visual analysis of data in financial reports. To assist the development of the company towards business expansion, an information management application for recording financial data is needed. This application has features to support the company's accounting cycle including recording income and expenditure reports, financial journals, ledgers, and balance sheets. This application is built using the React Native framework in mobile-based development so that it can run on Android and iOS platforms, also uses GraphQL for query processing into the MongoDB database for data storage. For unit testing on the application using the white-box method and validation testing using black-box. Testing non-functional requirements using compatibility on android 5.0 and android 9 devices. The test results get a value of 100% in meeting the needs and are valid.
Pengembangan Sistem Informasi Monitoring Project berbasis Web menggunakan API Trello (Studi Kasus: CV. Kisah Kita Event Organizer) Azzahra Princessa Shekina Wijaya; Issa Arwani; Widhy Hayuhardhika Nugraha Putra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

CV. Kisah Kita Event Organizer is a company engaged in services in organizing events in a professional manner. In running business processes, companies still do it manually by inputting data into Google Sheets in the ongoing project monitoring process. This causes problems such as not optimal service due to human error and requires excessive time estimation. From the urgency of the problem, we need a system that can monitor the project and provide convenience in data documentation. The system is integrated with the Trello API to make it easier for users. The analysis and design carried out on this system obtained 17 functional requirements and one non-functional requirement. Then modeled in the form of use cases, activity diagrams, sequence diagrams, class diagrams, physical data models and user interface design. Then it is implemented into a project monitoring information system that implements the Laravel framework with the Trello API. And tested using the Traceability Matrix test to track the suitability of the system design with the results that all functionality of the system is in accordance with the design that has been designed. Then tested using the Blackbox testing method in the form of testing the validity of the functional system when it is run and getting the system results as expected. For non-functional testing, use the Sortsite tool and the system results can be accessed through several web browsers.
Klasifikasi Mutu Biji Kakao berbasis Data Electronic Nose menggunakan Metode Jaringan Syaraf Tiruan Ghazy Timor Prihanda; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cocoa (Theobroma cacao Linn) is one of the leading export commodities of plantations in Indonesia. To maintain the quality of cocoa commodities, the government enforces the rules of SNI 2323-2008 regarding the quality standards of cocoa beans. The special requirements in the regulation divide cocoa bean into 3 classes, namely: Kelas Mutu I, Kelas Mutu II, and Kelas Mutu III. The aroma quality of cocoa beans is one of the standards contained in the regulation. So far, the quality of cocoa bean aroma has been identified using a human tester, which has the weakness of being unstable and subjective. With the development of technology, an electronic nose consisting of a series of gas sensors can analyze and recognize the characteristics of complex gas samples. So this research was carried out by making a classification system for the quality of cocoa beans based on their aroma using an electronic nose. The classification system used to measure quality of cocoa beans uses the Artificial Neural Network (ANN) method, to identify patterns in identifying the type of quality of cocoa beans based on their aroma. The electronic nose system was built using 3 gas sensors, namely: MQ 2, MQ 3, and MQ 135. The data processing and classification of ANN implementation were carried out using Arduino MEGA 2560. The results showed that the ANN method was able to identify the type of quality of cocoa beans with a success rate of 77.78 % and the average computation time required is 1.1317244 seconds.
Implementasi Metode Analytical Hierarchy Process (AHP) - Weighted Product (WP) dalam Sistem Pendukung Keputusan untuk Rekomendasi Pelanggan Terbaik berbasis Website (Studi Kasus: PT. Pelabuhan Indonesia IV (Persero) Makassar) Niftah Fatiha Armin; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At PT. Pelabuhan Indonesia IV, of course, there are customers who cooperate and become company partners. Customers who have contributed positively to the growth and progress of the company will have the opportunity to get an award as the best customer. A customer can be said to contribute positively by remaining a partner of the company. With this award, customers can be more enthusiastic to continue using the services of PT. Indonesian Port IV. Including in the economic sector, without customers, economic growth in remote areas will be less developed because one of the biggest modes of transportation is using ships or containers. In determining the best customer PT. Port of Indonesia IV is still using a manual process. This is an obstacle for PT Pelabuhan Indonesia IV Makassar. Therefore, to get the best client advice at PT. Pelabuhan Indonesia IV Makassar, thea researcher's decision on thea grounds that the AHP-WP technique is the right technique to be run into a system that supports it in accordancea with the consideration of the consistency of the evalauation results that have been carried out by looking at the existing variables. Solving the problem in this research is by implementing the Analytical Hierarchy Process (AHP) - Weighted product (WP) technique to get the best client advice at PT. Port of Indonesia IV Makassar. Based on the application of the AHP - WP methoad obtained from the system, it can be declared valid. The accuracy results of 80% obtained from accuracy testing with the results of the questionnaire as many as 8 respondents who have accurate results on thle Analytical Hierarchy Process methodi.
Analisis Sentimen Layanan Telekomunikasi PT. Smartfren Telecom Tbk pada Media Sosial Twitter menggunakan Metode Long Short-Term Memory Azhar Izzannada Elbachtiar; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dipublikasikan di SIET 2022
Klasifikasi Kandungan Boraks pada Gendar menggunakan Sensor Warna dengan Metode Jaringan Syaraf Tiruan berbabsis Arduino Andhika Nino Pratama; Dahnial Syauqy; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Gendar is one of the traditional foods typical of Central Java that can be found until now. The texture of the gendar itself is like rice cake or ketupat but is more chewy and has a more savory taste. In ancient times, the use of bleng salt or what is now called borax was commonly used in the process of making gendar because it can provide a savory taste of food and provide a legit and chewy texture as well as a preservative for gendar. Borax is a dangerous chemical compound which if consumed by the body does not cause an immediate reaction. The safe limit for the use of borax itself is 1 gram in 1 kg of food and the fatal dose when consumed and enters the body for children is 3 - 6gr and for adults is 15 - 20gr. The rampant ignorance of the public regarding the safe limits of borax that enters the body has prompted researchers to design a system that can classify the borax content in gendar based on 3 classes, namely no borax, light borax, and heavy borax. The system utilizes Arduino Uno as a data processor and classification calculation, a color sensor that is used as a color detector for the gendar object being tested, and a 16x2 LCD to display the classification results. The classification process itself uses the backpropagation artificial neural network classification method. Based on the system testing process, of the 30 samples tested, 90% accuracy was obtained with the average computation time required by the backpropagation Neural Network in the classification process is 3057ms or 3 seconds and 0.057 seconds.
Pengaruh Kualitas Informasi terhadap Niat Pembelian Kembali Konsumen pada E-Commerce Remizar Fahrezi Achyar Firdaus; Diah Priharsari; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile technology is currently increasing every time so that it can create innovation and also technology adoption. One of the impacts of the existence of technology is in terms of buying and selling transactions. Nowadays, buying and selling online activities have become a common thing for everyone. Customer repurchase intentions of a product company or service is one thing that the company expects. It is not easy for companies to be able to create repurchase intentions for customers. Several factors that can influence the intention of repurchase customers are satisfaction and trust as well as trust and satisfaction of these customers by the quality of the information. This research aims to determine how the influence of information quality on consumers' repurchase intentions in e-commerce. In addition, this study also explains how the influence of user satisfaction and customer loyalty on consumers' repurchase intentions. This study uses the SEM-CB method by distributing questionnaires to 326 respondents. From the results of the research that has been done, it was found that one of the hypotheses that was declared not accepted was customer satisfaction with repurchase intentions with a P-Value of 0.116. There's too many sellers in e-commerce, it will make the buyers have many options for benchmarking before repurchasing a product.

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