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Design and Build Customer Complain Applications for Mobile Based MVVM Architecture Method Alexius Hendra Gunawan; Andri Wijaya; Dellih Wijaya
Tech-E Vol 3 No 2 (2020): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Abstract PT. DhanaJaya BogaIndo has more than twenty restaurants spread across Jakarta, Surabaya and Australia. At present complaints regarding services and food served are still being done by providing limited criticism and suggestions during operational hours, so employees in the service section always record complaints and suggestions from customers who come to restaurants are accommodated, then convey related to food, service and the environment dirty one. related to customer complaints. Information on customer complaints can be received directly by management, so actions can be taken quickly.

Information of System Monitoring by Network Oparation Center Amat Basri; Alexius Hendra Gunawan
Tech-E Vol 4 No 2 (2021): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v4i2.533

Network Operation Central (NOC), an Enterprise Service Division which functions to carry out monitoring and supervision activities of Telkom network equipment located at Plaza Indonesia. Customer satisfaction is the basis and goal that is always hoped for by customers, by carrying out maintenance activities of network devices, and carrying out solutions when problems occur in customers are expected to be an efficient and effective service quality standard. This study wants to know that the construction of a monitoring system for NOC work activities can improve service quality. The quality of this system can be measured using the ISO9126 model, by adapting four characteristics of software quality: functionality, reliability, usability, and efficiency. The system development model uses the Rapid Application Development (RAD) and Joint Application Development (JAD) models. Researchers will analyze and design the system using the Unified Model Language (UML), then by coding with PHP programming and MySQL databases, and data collection using a questionnaire, and system testing using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (80%), reliability (79%), usability 86%), and efficiency (79%). Overall the result was 81% (good).

Prediksi Penggunaan Obat Peserta Jaminan Kesehatan Nasional Menggunakan Algoritma Naïve Bayes Classifier Tugiman; Lily Damayanti; Alexius Hendra Gunawan; Samuel Ryon Elkana
Journal of Applied Computer Science and Technology Vol 3 No 1 (2022): Juni 2022
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v3i1.295

Currently, most of the patients seeking treatment at the hospital use the National Health Insurance (JKN) organized by the Healthcare and Social Security Agency (BPJS Kesehatan). In some hospitals, the figure is above 80%. Considering the very high number of BPJS Kesehatan participant seeking treatment at the hospital, a good data management method is needed, especially regarding the management of drug. Drug supply needs to be analyzed from time to time so that it can help predict future needs. An adequate supply of drugs and as needed is one of the things that affect service to patients. The availability of sufficient stock is expected to accelerate service to patients so that they do not have to wait long. Patients who are served quickly are expected to be satisfied. The impact of this patient satisfaction will increase the number of patient visits to the hospital. To support this, it is necessary to create a system that can estimate drug needs. The system can predict drug demand by using drug sales data to JKN participant patients for five years. Drug data used as research samples and then processed using an algorithm is the Naive Bayes Classifier. The Naive Bayes Classifier method is a method used to predict future opportunities using the basis of previous experience. A distinctive feature of this method is that it uses a very strong assumption of the independence of each event. While software testing uses the User Acceptance Test (UAT) model. Based on testing using this method, the system can be well received by users with a score of 78.64% (good).

Perancangan Sistem Informasi Pencarian Orang Hilang Berbasis Web dengan Reward Menggunakan Metode Analisis Jaringan Sosial Muhammad Reza Ilham; Suwitno Suwitno; Alexius Hendra Gunawan
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1523

Kehilangan merupakan merupakan hal yang biasa dapat terjadi oleh setiap individu, baik kehilangan barang maupun seseorang. dan sementara itu pencarian orang hilang pada masa sekarang ini melalui media sosial ataupun dengan mengirimkan selebaran, dengan begitu sulit sekali untuk menyebarkan informasi-informasi detail mengenai informasi orang hilang tersebut, Untuk itu diperlukan suatu wadah yang dapat dipakai untuk dapat menyediakan informasi dan mengirim informasi tentang kehilangan orang,dan untuk itu digunakan metode social network analysis untuk menganalisis tentang kehilangan orang dengan menggunakan metode tersebut penulis dapat menganalisis tentang kefektifan dari pencarian orang hilang yang ada sebelumnya dan penulis mengambil dataset dari twitter tentang orang hilang dan didapatkan hasil dari 241 node yang diambil pada periode waktu 20-05-2022 sampai dengan 27-05-2022 pada media sosial twitter, hasil dari penerapan metode social network analysis , dan hasil dari penelitan menggunakan metode social network analysis tersebut bahwasannya aktor (node) yang memiliki nilai followers rank tertinggi belum tentu menjadi suatu aktor (node) yang berpengaruh dalam jaringan sosial. Dan dapat disimpulkan jika menggunakan media sosial untuk memposting orang hilang di dalam media sosial twitter, nilai followers rank (Jumlah pengikut) tidak terlalu berpengaruh terhadap postingan informasi mengenai orang hilang tersebut, dan dapat disimpulkan juga nilai followers rank bukan hal yang terlalu berpengaruh terhadap banyaknya interaksi dlam suatu postingan dalam hal ini mengenai orang hilang dalam sosial media twitter. Jadi penggunaan media sosial twitter untuk mencari orang hilang tetap dapat digunakan akan tetapi kurang efektif yang sehingga untuk penyebaran informasi orang hilang ini memerlukan suatu wadah yang menyediakan informasi khusus kehilangan orang.

Analisis Dan Perancangan Sistem Informasi Penjualan Bahan Bangunan Berbasis Web Pada Toko Bangunan Daerah Tigaraksa Menggunakan Metode User Accptance Testing Dede Kurniawan; Verri Kuswanto; Alexius Hendra Gunawan
ALGOR Vol. 4 No. 2 (2023): Updated Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i2.1526

In this day and age, there are still many medium-sized businesses such as building shops that still do not use technology, thus causing a small scope of marketing and sales of products from the building store itself. To increase the scope of marketing and sales areas, one way is to take advantage of internet technology that is suitable to be applied to building stores. Building a store requires an online sales information system that is useful for store owners and potential buyers. Therefore, a sales information system was created that is available anytime, anywhere without time and region limits, called e-commerce. The methodology of the software development stages used in this study uses the Rapid Application Development (RAD) model. Rapid Application Development (RAD) is a focused method of developing software quickly, by repeating also on feedback that is also repeated. The results of this study are expected to help make it easier for potential buyers to make purchases and can help building shop owners in selling their goods. User Acceptance Testing (UAT) is a verification process to ascertain whether the completions made in the system are suitable for the user. Based on the User Acceptance Testing (UAT) test that has been carried out on 30 respondents, it shows the results that the satisfaction given from using this website is 85.3%.

Analysis and Design of ERP Information Systems Using User Acceptance Test Method Aditya Kristianto Santoso; Alexius Hendra Gunawan
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.1666

Information technology that continues to develop supports companies in carrying out their business activities. Computerized company information technology is needed in this modern era. Therefore, Enterprise Resource Planning information systems are needed in carrying out the company's business processes, Enterprise Resource Planning information systems with purchasing, sales, and inventory modules can assist companies in planning business processes. The design of this Enterprise Resource Planning application information system aims to assist companies and employees in carrying out the transaction process. The method used for developing this application is to use the waterfall motede. The waterfall method is a software development method that uses a systematic and sequential approach, so that the quality of the resulting system will be optimal. In addition, the research method in developing this software uses a User Acceptance Test where the results of the proposed system have been verified through interviews filling out questionnaires so as to produce a system that suits user needs. This system was built to meet user needs to produce accurate and systematic inventory, sales and purchase reports. Thus, users do not need to worry about errors in processing company transaction data. The conclusion obtained is that the system built is able to assist users in inputting transactions and make it easier for stakeholders because this information system is made web-based so that it can be accessed anywhere and anytime, and makes work time more effective.

Eksplorasi Algoritma Support Vector Machine untuk Analisis Sentimen Destinasi Wisata di Indonesia Junaedi; Alexius Hendra Gunawan; Verri Kuswanto; Jonathan
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1810

Penelitian ini mengeksplorasi penerapan algoritma Support Vector Machine (SVM) dalam Text Mining untuk analisis sentimen sektor pariwisata di Indonesia, menggunakan data dari platform Twitter. Data dikumpulkan melalui API Twitter dan diproses melalui tahapan prapemrosesan teks, termasuk tokenisasi, normalisasi, penghapusan stopword, dan stemming, untuk memastikan kesiapan data dalam analisis. Model SVM diuji dengan tiga kernel berbeda—linear, radial basis function (RBF), dan sigmoid—serta menggunakan rasio data latih-uji 7:3 dan 8:2. Hasil menunjukkan bahwa kernel linear dengan rasio 7:3 menghasilkan kinerja terbaik dengan akurasi 92,89%, precision 92%, recall 74%, dan F1-score 81%. Evaluasi berdasarkan kelas sentimen menunjukkan performa tinggi pada sentimen positif (F1-score 96%) tetapi moderat pada kelas netral (F1-score 67%), mencerminkan pengaruh ketidakseimbangan data. Penelitian ini memberikan kontribusi signifikan dalam mendukung pengambilan keputusan berbasis data untuk pengembangan sektor pariwisata. Temuan ini memungkinkan pengelola destinasi wisata untuk memahami opini wisatawan secara otomatis, menyusun strategi promosi yang lebih efektif, serta meningkatkan kualitas layanan. Dengan menerapkan analisis sentimen berbasis SVM, penelitian ini mendukung pengelolaan pariwisata berbasis data untuk meningkatkan daya saing destinasi wisata di Indonesia. Penelitian lanjutan disarankan untuk mengatasi ketidakseimbangan data melalui teknik resampling atau penerapan algoritma alternatif seperti deep learning, guna meningkatkan akurasi klasifikasi sentimen yang lebih kompleks. Dengan demikian, penelitian ini menjadi langkah strategis dalam memanfaatkan teknologi analitik untuk pengelolaan pariwisata yang lebih inovatif.

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