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Sistem Informasi Tingkat Kepuasan Pasien Pada Pelayanan Makanan Di Rumah Sakit Menggunakan Metode Algoritma C4.5 Nurhadi, Nurhadi; Khabibillah, Khabibillah; Zaenudin, Imam; Miswadi, Miswadi; Prihandi, Ifan
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 9, No 1 (2024): IJCIT Mei 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcit.v9i1.21833

Salah satu pelayanan rumah sakit yang akan meningkatkan mutu rumah sakit selain jasa pelayanan kesehatan yaitu pada pelayanan makanan. Beberapa masalah yang dihadapi dalam pelayanan di rumah sakit dalam pelayanan makanan diantaranya belum sesuai dengan harapan pasien, karena terlambatnya waktu pengiriman makanan ke pasien, kurangnya variasi menu, makanan tidak enak atau kurang sesuainya rasa makanan. Penelitian ini mempunyai tujuan untuk membuat sistem informasi yang dapat memberikan penilaian tentang kepuasan pasien dalam menerima pelayanan khususnya pada pelayanan makanan, sehingga masalah pada pelayanan makanan dapat teratasi. Algoritma c4.5 digunakan sebagai metode untuk menganalisa data yang didapat. Sedangkan untuk pengembangan sistem menggunakan metode prototipe. Hasil dari penelitian ini didapatkan sistem informasi yang dapat memberikan penilaian terhadap kepuasan pasien sehingga dapat mengatasi masalah pada pelayanan makanan dan aplikasi ini dapat digunakan dengan mudah karena pengembangannya melibatkan pengguna karena menggunakan metode prototipe. One of the hospital services that will improve the quality of hospitals apart from health services is food services. Some of the problems faced in hospital services include food services not meeting patient expectations, due to delays in food delivery to patients, lack of menu variety, bad food or poor taste of the food. This research aims to create an information system that can provide an assessment of patient satisfaction in receiving services, especially food services, so that problems with food services can be resolved. In this system the author uses the c4.5 algorithm method to analyze the data obtained. And for system development the author uses the prototype method. The results of this research obtained an information system that can provide an assessment of patient satisfaction so that it can overcome problems in food service and this application can be used easily because its development involves users because it uses a prototype method.

Comparative Analysis of Google Dialogflow and Rule-Based NLTK Chatbots for Application FAQ Yasin, Raihan Nur; Cherid, Ali Hadi; Prihandi, Ifan; Sari, Yunita Sartika
Journal Collabits Vol 2, No 3 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i3.27345

This study presents a comparative analysis of two chatbot frameworks, Google Dialogflow and rule-based NLTK (Natural Language Toolkit), for the development of chatbots to handle frequently asked questions (FAQ) in applications. The study focuses on Blender, a popular 3D modeling software, as a case study. Ten testing questions were used to evaluate the chatbots' accuracy, precision, recall, and F1-score. The results showed that Dialogflow achieved an accuracy of 80%, precision of 80%, recall of 100%, and an F1-score of 88.9%. In contrast, the rule- based NLTK chatbot achieved an accuracy of 60%, precision of 66.7%, recall of 80%, and an F1-score of 72.8%. The study concluded that Dialogflow is a more effective and reliable chatbot for handling Blender FAQs due to its ability to retrieve relevant information from a large knowledge base and its use of machine learning algorithms to improve its performance over time. However, the rule-based NLTK chatbot may still be useful in certain situations where a more simple and customizable chatbot is required.

Implementation of automation configuration of enterprise networks as software defined network Lindo Prasetyo; Ifan Prihandi; Muhammad Rifqi; Rahmat Budiarto
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p99-111

Software defined network (SDN) is a new computer network configuration concept in which the data plane and control plane are separated. In Cisco system, the SDN concept is implemented in Cisco Application Centric Infrastructure (Cisco ACI), which by default can be configured through the main controller, namely the Application Policy Infrastructure Controller (APIC). Conventional configuration on Cisco ACI creates problems, i.e.: the large number of required configurations causes the increase of time required for configuration and the risk of misconfiguration due to repetitive works. This problem reduces the productivity of network engineers in managing Cisco system. In overcoming these problems, this research work proposes an automation tool for Cisco ACI configuration using Ansible and Python as an SDN implementation for optimizing enterprise network configuration. The SDN is implemented and experimented at PT. NTT Indonesia Technology network, as a case study. The experimental result shows the proposed SDN successfully performs multiple routers configurations accurately and automatically. Observations on manual configuration takes 50 minutes and automatic configuration takes 6 minutes, thus, the proposed SDN achieves 833.33% improvement.

Python Programming Implementation in Food Catalogue Creation Using GUI Brilian Danuarta; Ifan Prihandi
Journal Collabits Vol. 2 No. 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i2.27266

In the modern world of programming, the development of user interface (GUI) applications is very important. A simple GUI application can be implemented using the Python programming language and standard modules such as Tkinter, Pandas, and os, as described in this journal. Using this application, users can view the product catalogue, add products to the shopping cart, and make payments. There will be a record of the transaction in an Excel file after the payment is completed. Readers will learn the basic concepts of GUI application development using Python through this practical approach. They will also learn how to use basic features such as file management, user interaction, and data manipulation. This article can serve as a guide for beginners in developing GUI applications using Python.

Comparative Analysis of Google Dialogflow and Rule-Based NLTK Chatbots for Application FAQ Raihan Nur Yasin; Ali Hadi Cherid; Ifan Prihandi; Yunita Sartika Sari
Journal Collabits Vol. 2 No. 3 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i3.27345

This study presents a comparative analysis of two chatbot frameworks, Google Dialogflow and rule-based NLTK (Natural Language Toolkit), for the development of chatbots to handle frequently asked questions (FAQ) in applications. The study focuses on Blender, a popular 3D modeling software, as a case study. Ten testing questions were used to evaluate the chatbots' accuracy, precision, recall, and F1-score. The results showed that Dialogflow achieved an accuracy of 80%, precision of 80%, recall of 100%, and an F1-score of 88.9%. In contrast, the rule- based NLTK chatbot achieved an accuracy of 60%, precision of 66.7%, recall of 80%, and an F1-score of 72.8%. The study concluded that Dialogflow is a more effective and reliable chatbot for handling Blender FAQs due to its ability to retrieve relevant information from a large knowledge base and its use of machine learning algorithms to improve its performance over time. However, the rule-based NLTK chatbot may still be useful in certain situations where a more simple and customizable chatbot is required.

Design and Implementation of a Python-Based Cinema Ticket Ordering Prototype Using Linear Search Ramando Girsang; Hisyam Fadhila; Yunita Sartika sari; Nia Rahmah Kurnianda; Ifan Prihandi
Journal Collabits Vol. 3 No. 2 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i2.27260

The increasing adoption of digital services has encouraged the development of ticketing systems that simplify access to movie information and transaction processes. This study aims to design and implement a Python-based cinema ticket ordering prototype and to examine the suitability of the Linear Search algorithm for movie-title lookup in a small and unsorted dataset. The development process consists of requirements analysis, system design, implementation, functional verification, and algorithmic complexity analysis. The prototype supports customer input, movie selection, ticket quantity calculation, optional food and beverage ordering, and transaction calculation. Linear Search is selected because it can operate directly on a small unsorted list without preprocessing or an additional indexing structure. Theoretical comparison shows that Linear Search has O(n) average and worst-case time complexity, while Binary Search offers O(log n) complexity for sorted data and hash-based lookup offers O(1) average lookup time with additional storage requirements. The study therefore does not claim Linear Search as a new or universally efficient algorithm. Its contribution lies in presenting a transparent small-scale ticket-ordering architecture and an academically justified algorithm selection. Future development should incorporate persistent database storage, a graphical or web/mobile interface, authentication, secure payment integration, usability evaluation, and empirical performance benchmarking.

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