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Jurnal Informatika Terpadu
Published by STT Terpadu Nurul Fikri
ISSN : -     EISSN : 24608998     DOI : -
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education
Jurnal Informatika Terpadu memuat jurnal ilmiah di bidang Ilmu Komputer, Sistem Informasi dan Teknik Informatika. Jurnal Informatika Terpadu diterbitkan oleh LPPM STT Nurul Fikri dengan periode dua kali dalam setahun, yakni pada bulan Maret dan September.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 164 Documents
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Pembuatan Bot Telegram Untuk Layanan Pencarian Hadis Riwayat Sahih Bukhari Gunawan Setia Wiguna; Nazruddin Safaat Harahap; Iwan Iskandar; Muhammad Affandes
Jurnal Informatika Terpadu Vol 8 No 2 (2022): September, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v8i2.561

Abstract

Books about hadith are often found in bookstores and libraries. Although someone can access hadith via books, not all Indonesians have hadith books and are less interested in looking for hadith via book format. With the development of technology, bots or chatbots in the Telegram application provide information more easily. Hadith search using bot technology is required to make it easier for people the search about hadith. Telegram bot creation for hadith searches using data from Sahih Bukhari's book. The compiler of the Sahih Bukhari book group the hadiths according to specific topics into several books and chapters. The purpose of the make it easier to look at the hadith by the chapter. Telegram bot creation used the prototyping method and successfully created the bot as a hadith search service. Based on Black Box testing, the bot success ran all commands as expected. The User Acceptance Test (UAT) on the bot got a total result of 82,8%. The test results show that respondents' level of acceptance by the Telegram bot for hadith search includes the category strongly agree. From the results of the UAT test, it can conclude that users can accept and use the bot according to their needs.
Game Edukasi Ilmu Tajwid berbasis Android menggunakan Metode ADDIE untuk Meningkatkan Minat Belajar Siswa Akhyanto Akhyanto; Nana Suarna; Ade Irma Purnamasari
Jurnal Informatika Terpadu Vol 8 No 2 (2022): September, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v8i2.571

Abstract

The rapid development of technology, especially mobile phones, has a considerable impact, including in the school education environment. Children at the Madrasah Ibtidaiyah level are particularly vulnerable to the influence of these technological advances. The Quran is a guide for Muslims in various parts of the world. The way to read the Quran can be learned in tajweed learning. The learning process of tajweed at the Madrasah Ibtidaiyah level currently uses textbooks, explains the material, gives examples, and gives practice questions to students, which seem monotonous and make children bored to participate in learning activities. This study aims to develop an interactive and new-looking learning media to increase students' interest in learning tajweed. This study used the Research and Development version of the ADDIE model with five stages: Analysis, Design, Development, Implementation, and Evaluation. The ADDIE method has a systematic structure and steps that are simple and easy to learn. This research resulted in a learning media in the form of a tajweed educational game with the results of the respondent's achievement level test of 81.3% with a suitable category so that the game application can be used in Madrasah Ibtidaiyah.
Penerapan Algoritma Multiclass Ensemble Support Vector Machine dengan Fungsi Kernel untuk Klasifikasi Human Activity Firman Aziz; Syahrul Usman; Jeffry Jeffry; Nur Ayu Asrhi; M Rezky Armansyah
Jurnal Informatika Terpadu Vol 8 No 2 (2022): September, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v8i2.579

Abstract

Human Activity Recognition is a technology that introduces human body movement using an accelerometer, gyroscope, global positioning system, and camera. The early emergence of the support vector machine method was used to classify 2 classes, so development was needed to overcome multiclass problems and a large number of large-scale datasets resulted in suboptimal performance. The purpose of this paper is to apply the ensemble Support Vector Machine method in classifying the movement of walking, running, and climbing stairs based on accelerometer and gyroscope sensors on smartphones. And see the performance of the Ensemble Support Vector Machine method when using linear kernels and RBF. The results of the Support Vector Machine linear kernel accuracy of 79.66% and an increase of 88.01% after using the ensemble. While the accuracy for the Support Vector Machine kernel RBF is 79.51 and an increase of 88.04% after using the ensemble.
Rancang Bangun Antarmuka berbasis Website Design Method (WDM) untuk Toko Baju Online Rahmatul Zakia; Tifanny Nabarian; Betty Amalia
Jurnal Informatika Terpadu Vol 9 No 1 (2023): Maret, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i1.620

Abstract

In Indonesia, the growth of e-commerce is speedy; every year, it experiences a significant increase. An increase in digital-based transactions (e-commerce) can help increase business sales. The business currently being carried out, especially among young people, is the thrifting business (used goods). The Pandeglang thrift store, which was established in April 2021, is a store that sells both imported and non-imported used clothing. Pandeglang thrift store sales are currently offline and online. The problem faced by Pandeglang Thrift Stores is the need for an appropriate information system for Pandeglang Thrift stores, which experiences an increase in the sales process every day. Therefore, Pandeglang thrift stores need an information system that can assist in promoting products and managing the transaction process. Toko Thrift Pandeglang's website interface is designed based on user needs by adapting the WSDM (Website Design Method) approach. The prototype created is then tested using usability testing, namely the system usability scale (SUS). The test results stated that the Thrift Pandeglang Store website prototype had met the user's needs. In addition, the evaluation results noted that the Thrift Pandeglang Shop website prototype had excellent usability with a system usability scale score of 91.01.
Telemedicine pada Layanan Tuberkulosis (Literature Review) Siti Muhimatul Munawaroh; Vetty Yulianty Permanasari
Jurnal Informatika Terpadu Vol 9 No 1 (2023): Maret, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i1.626

Abstract

The current Covid-19 pandemic has restricted people's movements to access health services. This has resulted in reduced access to tuberculosis treatment and has resulted in increased mortality. The government has advocated using digital tools and technologies such as telemedicine for patient care. This research aims to find out how telemedicine is applied to tuberculosis services. This study uses the Systematic Literature Review methodology with scientific article publication data sources from the Google Scholar, PubMed, ScienceDirect, and ProQuest databases. From the 6440 articles obtained at the start of the search, in the end, 18 articles met this study's inclusion and exclusion criteria. Results: The implementation of telemedicine in tuberculosis services is carried out using DOT (Direct Observation Treatment) therapy using Video or vDOT (Video Direct Observation Treatment), while other telemedicine activities are carried out via direct telephone, sending voice text messages periodically for patient reminders, vDOT is carried out online synchronous via uploads or asynchronous via video recording. The telemedicine platform is helpful for health workers in tackling and preventing tuberculosis which requires intensive monitoring of patients so that patients can be monitored regularly, reducing drug withdrawal patients and increasing the success of tuberculosis treatment. There are opportunities for the development of telemedicine applications in Indonesia that focus on the use of vDOT.
Prediksi Hasil Panen Padi Tahun 2023 menggunakan Metode Regresi Linier di Kabupaten Indramayu Diyanti yanti; Martanto; Agus Bahtiar
Jurnal Informatika Terpadu Vol 9 No 1 (2023): Maret, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i1.657

Abstract

Indramayu Regency has the West Java region's largest harvested land area and the most rice production. The size of harvested land in the Indramayu Regency area has also increased from year to year. In 2019 Indramayu Regency had a land area of 215,731 Ha; then, land acquisition increased the size of land in Indramayu Regency in 2020 it increased to 226, 626 Ha, and in 2021 it increased again to 227,051 Ha. Certain factors play an essential role in raising standards and increasing productivity. These factors are planting area, harvested area, rainfall, and crop failure, where these factors cannot be predicted. This research will discuss the application of the Linear Regression method, namely the method used to examine the relationship between a tertiary variable and two or more secondary variables. Based on predictions using the python programming language, the rice harvest in 2023 is 1510403 tons/GKP, with MAE, MSE, RMSE, and R2-Score values. The system displays MAE (Mean Absolute Error) values: 5449.45, MSE (Mean Squared Error) values: 72325540.80, RMSE (Roots Mean Squared Error): 8504.44, and R2-Score: 0.93 with predictions that 2023 will experience a decrease from the previous year.
Penerapan Algoritma K-Means untuk Clustering Data Jumlah Penduduk Miskin Berdasarkan Kota/Kabupaten di Jawabarat menggunakan Rapidminer Nova Novitasari; Nisa Dienwati Nuris; Ruli Herdiana
Jurnal Informatika Terpadu Vol 9 No 1 (2023): Maret, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i1.660

Abstract

Poverty is currently the only problem every region faces, as happened in the city/district of Responsibilities, which is still visible. Poverty is a condition where a person's standard of living cannot meet the basic needs of his life. According to information obtained by the West Java open data website, there are 513 data in West Java cities/regencies from 2002 to 2020. The number of poor people in many cities/regencies in West Java has increased. Thus, the method used in this study to group data using the K-means clustering method will be implemented in Rapidminer because the k-means algorithm is effective for analyzing large amounts of data. It can be seen from the data that will be generated that there are several variables needed, such as the Province code, Province name, City/Regency code, City/Regency name, number of poor people, unit, and year. From the variable data, it will be easier to run it. So that this study will produce several clusters, namely the results obtained by the researcher are cluster 4 because this cluster is the result taken from the smallest and best DBI value of several clusters that the researcher is testing. It is from the cluster results that data on the number of poor people will be seen by city/district which has an increasing level of collapse or by period each year.
Prediksi Penjualan Handphone di Toko X menggunakan Algoritma Regresi Linear Yubi Aqsho Ramadhan; Ahmad Faqih; Gifthera Dwilestari
Jurnal Informatika Terpadu Vol 9 No 1 (2023): Maret, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i1.692

Abstract

Mobile phones or smartphones have become a basic necessity in life. This device has transformed how we communicate and access information, and entertainment, making our lives easier and more comfortable. Store X sells mobile phones from various brands. The purpose of this research is to predict the sales of handphones in the next three months based on the sales data of brand X. Linear regression is used as the prediction method, with the number of handphones sold as the Y variable and the sales period as the X variable. RMSE (Root Mean Squared Error) and Relative Error are used to evaluate the prediction results. The predicted sales for the Entry category in the first month are 84 units, 86 units in the second month, and 88 units in the third month, while for the Mid category, 28 teams are sold in the first month, 29 teams in the second month, and 30 units in the third month. The RMSE evaluation result for the Entry category is 10.36, while the Relative Error value is 19.11%, and the RMSE value for the Mid category is 7.50, while the Relative Error value is 32.97%. The prediction of handphone sales using this linear regression method can be classified as sufficient or usable.
Pengembangan Sistem Informasi Manajemen Keuangan Sekolah berbasis Web menggunakan Whatsapp Gateway Nur Abidin; Anwar Aini; Muhammad Izzuddin
Jurnal Informatika Terpadu Vol 9 No 2 (2023): September, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i2.797

Abstract

The rapid development of information and communication technology supported by adequate and competent human resources is expected to create an information technology capable of solving school administration problems. The school financial management system at Mamba’ul Ihsan Banyuurip Vocational School still uses a recording system on payment cards and then manually recapitulates payment data in books. This causes the process to take quite a long time and has a risk of data loss or damage. This study aims to develop an information system to facilitate school finance parties in transactions and managing school financial data. In addition, the information system created can provide notifications to student guardians for notifications. System design is based on object-oriented programming (OOP) using UML (Unified Modeling Language). The information system development method uses the waterfall method. The development of the system uses the Codeigniter 4 Framework. In the case of automatic Whatsapp sending to student guardians, Node.JS is used as the Whatsapp API Gateway. Development of a school financial management information system with notifications using the Whatsapp API (application programming interface) that has been made for use by the school and is working as planned with the suitability of the effectiveness and efficiency of completing work by 100% and ease of operation by 96%.
UMMIBOT sebagai Media Layanan Informasi Penerimaan Mahasiswa Baru Universitas Muhammadiyah Sukabumi M. Rizky Suherlan; Asriyanik; Agung Pambudi
Jurnal Informatika Terpadu Vol 9 No 2 (2023): September, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i2.893

Abstract

The continuous advancement in information and communication technology has overcome geographical limitations and enhanced the speed of information and knowledge transfer. Information and communication technology has been applied in various aspects, including improving services, speeding up communication processes, facilitating access to information, and effectively sharing information. One significant technological innovation is the chatbot, an artificial intelligence technology that enables interactive communication. Implementing a chatbot at the Admissions Office of Muhammadiyah University Sukabumi (UMMI) aims to assist prospective students in obtaining information regarding new student admissions. The main challenge addressed is the limitation of office hours, which often hinders prospective applicants from accessing information quickly. This research employs the Natural Language Processing (NLP) method in chatbot development, intending to enable the chatbot to understand natural language and search for relevant information. The research objective is to create an efficient chatbot to respond to user inquiries outside of office hours. The stages of chatbot development using the NLP method encompass data collection, text processing, feature engineering, modeling, inference, deployment, and evaluation. The research results indicate that the chatbot, named UMMIBOT, successfully achieved a functional accuracy rate of 83.67%, addressing the issue of office hour limitations and providing responses that align with user input with high accuracy.

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